SlideShare a Scribd company logo
Dr.Dr. S. M. Niaz MowlaS. M. Niaz Mowla
ID NOID NO:: 14-98060-314-98060-3
Department of Public HealthDepartment of Public Health
American International University- Bangladesh (AIUB)American International University- Bangladesh (AIUB)
Banani, Dhaka- 1213Banani, Dhaka- 1213
Sleep Quality and Quality of Life in Adults with Type 2Sleep Quality and Quality of Life in Adults with Type 2
DiabetesDiabetes
Sleep Quality and Quality of Life in Adults with Type 2Sleep Quality and Quality of Life in Adults with Type 2
DiabetesDiabetes
2014 2035
Diabetes is a huge and growing problem…
Intersects with all dimensions of
development
BACKGROUND
Among these, type 2 diabetes constitutes about 85-95% of all
diabetes.
BACKGROUND
Prevalence and rate ratios of self-reported health as
"fair" or "poor" among individuals aged 20 years and
older, by age group and diabetes status, Canada,
2009-2010
How people perceive their
general health provides a good
indication of their quality of
life. 
How people perceive their
general health provides a good
indication of their quality of
life. 
In 2009-2010, nearly two-fifths
(39.1%) of Canadians aged 20
years and older who reported
having diabetes rated their
health as "fair" or "poor",
compared to a tenth of the
adult population without
diabetes (10.3%).
In 2009-2010, nearly two-fifths
(39.1%) of Canadians aged 20
years and older who reported
having diabetes rated their
health as "fair" or "poor",
compared to a tenth of the
adult population without
diabetes (10.3%).
Source: Public Health Agency of Canada (2011)
BACKGROUND
HRQOL is an  important outcome- To evaluate the impact of the disease and its 
treatment on individuals and health care costs.
People  with  type  2  diabetes  have  a  worse  quality  of  life  than  people  with  no 
diabetes.
Poor sleep is prevalent in T2DM and inversely associated with quality of life. 
Sleep quality is an important clinical consideration for two major reasons. 
1.Complaints about sleep quality are common.
2.Poor sleep quality can be an important symptom of many sleep and medical chronic 
disorders. 
BACKGROUND
This study was a baseline survey which will- 
Initiate  further  specific  study  and  explore  new  idea  for  the  policy  makers  and 
service providers and diabetes educators, 
              --- to play a key role in assessing sleep and providing easy to improve sleep 
hygiene and quality of life,
              ---to emphasize of screening new patients for sleep problems, making a 
suggesting sleep hygiene strategies as part of diabetes management.
JUSTIFICATION OF THE STUDY
Studies showed- T2DM adversely affect both well being and physical functioning, 
contributing to decrease HRQOL as well as sleep quality. 
These studies were carried out in Europe, the USA and Japan. 
Do  not  represent  population  across  the  globe.  Particularly  those  from  Indian 
subcontinent.  
Not clear whether the results are applicable to the Bangladeshi population.
About 80% of T2DM occur in developing world.
9th
 leading cause of death in Bangladesh. (CDC in Bangladesh factsheet, 2014)
In 2030- BD will hold the 8th position according to the total cases of DM in adult 
population. 
Time  to  determine  the  sleep  quality  and  quality  of  life  in  adults  with  T2DM 
patients in BD for a more comprehensive and intensive approach to diabetic care as 
diabetes depends on ethnicity. 
RESEARCH QUESTIONS
How is the sleep quality in adults with type 2 diabetes? 
How is the quality of life in adults with type 2 diabetes? 
OBJECTIVES
General ObjectivesGeneral Objectives
To  find  out  the  sleep  quality  and  quality  of  life  in  adults  with  Type  2 
Diabetes.
 
Specific ObjectivesSpecific Objectives
To assess the sleep quality in adults with type 2 diabetes using Pittsburg  
Sleep Quality Index.
To assess quality of life of the respondents using  SF-36 v2TM
. 
To  determine  the  association  between  sleep  quality  and  quality  of  life 
among the respondents.
Independent VariablesIndependent VariablesIndependent VariablesIndependent Variables Dependent VariablesDependent VariablesDependent VariablesDependent Variables
• Age 
• Sex
• Religion
• Marital status
• Educational qualification
• Occupation
• Monthly family income
• Duration of diabetes 
• Present treatment 
profile 
• Number of diabetic 
complication 
• Presence of co-
morbidities
DemographicDemographic Diabetes MellitusDiabetes Mellitus
• Sleep latency
• Sleep duration
• Habitual sleep 
efficiency
• Sleep disturbances
• Use of sleeping 
medication
• Day time dysfunction
Physical functioning
Role physical
Bodily pain
General health
Mental health
Vitality
Social functioning
Role emotional
 
Sleep QualitySleep Quality Quality of LifeQuality of Life
STUDY VARIABLES
Diabetes related variable
Duration of diabetes, Treatment status 
(Insulin), Complications of diabetes, 
Presence of co-morbidities
Patient’s characteristics
Age, Sex, Marital status, Education, 
Occupation, Family income
Sleep quality
Sleep latency, Sleep duration, Habitual 
sleep efficiency, Sleep disturbance, 
Use of sleeping medication, Day time 
dysfunction
Sleep quality
Sleep latency, Sleep duration, Habitual 
sleep efficiency, Sleep disturbance, 
Use of sleeping medication, Day time 
dysfunction
Quality of life
Physical functioning, Role physical, 
Bodily pain, General health, Mental 
health, Vitality, Social functioning, 
Role emotional
Quality of life
Physical functioning, Role physical, 
Bodily pain, General health, Mental 
health, Vitality, Social functioning, 
Role emotional
CONCEPTUAL FRAMEWORK
METHODOLOGY
Study DesignStudy Design
A cross sectional study. 
 
Study TimeStudy Time
The total study period was six months, commencing from July, 2015. 
Study PlaceStudy Place
Out Patient Department 
(OPD) of National Health Care 
Network, Mirpur. 
- Branch of BIRDEM
- Easy approachability.
- Availability of the patients.
 
METHODOLOGY
Inclusion CriteriaInclusion Criteria
 Age – (25 - 60 years).
 Duration of Diabetes more than 1 years.
Attending the National Healthcare Network, Mirpur hospital.
 
     Exclusion CriteriaExclusion Criteria
Type 1 diabetes. 
 Diagnosed sleep disorder prior to diabetes.
 Diabetes with pregnancy.  
 Inability to communicate due to physical and mental health.
METHODOLOGY
Sampling Method and Sampling SizeSampling Method and Sampling Size
Due  to  time  and  resource  constrains,  my  study  participants  were  180. 
Convenient  sampling  was  followed  for  selection  of  study  sample  due  to 
scarcity of cases.
METHODOLOGY
Data Collection InstrumentsData Collection Instruments
 A semi- structured questionnaire and checklist was used to collect data.
The questionnaire was prepared by following SF-36 version 2 to assess the
HRQOL and PSQI to assess the sleep quality.
It was prepared in English and then translated to Bangla.
Data Collection ProcedureData Collection Procedure
Face to face interview.
Record review.
METHODOLOGY
Data Processing and Analysis PlanData Processing and Analysis Plan
 At the end of each day of data collection each questionnaire was checked to
see whether the questionnaire is filled completely and consistently.
Then they were stored after giving appropriate identification number.
The data were analyzed in computer with SPSS 20.0 version.
After meticulous cleaning and editing of the data, an analysis plan was
structured with relevance to study objective.
METHODOLOGY
Data Processing and Analysis Plan (Cont…)Data Processing and Analysis Plan (Cont…)
For descriptive statistics- means, medians, standard deviations, ranges for
continuous data and frequencies and proportion for categorical data were
calculated.
For inferential statistics- one way ANOVA, t test, χ2 test and Pearson’s
correlation were calculated.
Linear regression analysis was used to examine the relationships between
PSQI and HRQOL.
In all the tests, p 0.05 was considered to be statistically significant.˂
METHODOLOGY
Data Quality ManagementData Quality Management
Pre testing of questionnaire was made to assess the validity in out of the study
area.
On spot-check & review of the filled up questionnaires on daily bases to
ensure completeness and consistency.
Ethical IssuesEthical Issues
Ethical Approval was obtained from Research Committee of AIUB.
Verbal consent of the study participants was obtained.
Study has done through collection of data using questionnaire and neither any
intervention nor any invasive procedures has undertaken.
Privacy and highest confidentiality of the participant was maintained strictly.
All other ethical issues were handled properly.
METHODOLOGY
Limitation of the StudyLimitation of the Study
Limited number of research works on sleep quality in adults with T2DM of
BD.
Sampling technique- convenient method- result might not be generalized for
other population.
Possibility of recall bias of the respondents.
Did not include a control group.
Sample size limited to 180.
METHODOLOGY
Highest proportion of the
respondent (48.9%) was ≥ 50
years age group followed by
40-49 years age group
(30%). Mean (SD) age of the
respondents were 48.31
(±9.02) years.
Highest proportion of the
respondent (48.9%) was ≥ 50
years age group followed by
40-49 years age group
(30%). Mean (SD) age of the
respondents were 48.31
(±9.02) years.
SOCIO-DEMOGRAPHIC CHARACTER-AGE
35%
65%
Gender distribution of the respondents
Male Female
SOCIO-DEMOGRAPHIC CHARACTER-GENDER
Secondary
16%
Higher
secondary
27%
Graduate
15%
Post
graduate
17%
Illiterate
1%
Can sign
only
7%
Primary
17%
Upto
primary
[25%]
Major proportion of respondents (43.3%) were in the educational level of S.S.C and H.S.C, up to
primary level there were 25% patients, the rest were graduates and above.
Major proportion of respondents (43.3%) were in the educational level of S.S.C and H.S.C, up to
primary level there were 25% patients, the rest were graduates and above.
SOCIO-DEMOGRAPHIC CHARACTER-EDUCATIONAL
QUALIFICATION
SOCIO-DEMOGRAPHIC CHARACTER-RELIGION AND
MARITAL STATUS
SOCIO-DEMOGRAPHIC CHARACTER-OCCUPATION
Characteristics Frequency Percent
Monthly family income
<20000
20000 to 29000
30000 to 39000
40000 to 49000
50000 to 59000
≥60000
62
13
33
14
22
36
34.4
7.2
18.3
7.8
12.3
20.0
Family size
<5
5 – 6
7 – 8
>8
121
21
24
14
67.2
11.7
13.3
7.8
Ownership of house
No
Yes
96
84
53.3
46.7
Type of house
Pacca building
Semi- pacca building
155
25
86.1
13.9
Area of residence
Urban
Rural
153
27
85.0
15.0
SOCIO-DEMOGRAPHIC CHARACTER-OTHERS
PERCENT DISTRIBUTION OF RESPONDENTS BY DURATION
OF DIABETES
PERCENT DISTRIBUTION OF RESPONDENTS BY VARIOUS
COMPLICATIONS DUE TO DIABETES
PERCENT DISTRIBUTION OF RESPONDENTS BY SELF
REPORTED HEALTH STATUS
PERCENT DISTRIBUTION OF RESPONDENTS BY PHYSICAL
ACTIVITIES
PERCENT DISTRIBUTION OF RESPONDENTS BY PHYSICAL
EMOTIONAL PROBLEMS DURING PAST 4 WEEKS
PERCENT DISTRIBUTION OF RESPONDENTS BY CAUSES OF
TROUBLE SLEEPING
Characteristics Possible maximum
score
Mean (SD) Median Range
Overall sleep quality 21 7.28(±3.06) 7 3-15
Subjective sleep quality 3 1.60(±0.68) 2 0-3
Sleep latency 3 1.66(±0.87) 2 0-3
Sleep duration 3 1.42(±0.89) 1 0-3
Habitual sleep efficiency 3 1.00(±1.07) 1 0-3
Sleep disturbance 3 1.02(±0.14) 1 1-2
Use of sleep medication 3 0.93(±1.01) 1 0-3
Day time dysfunction 3 1.06(±0.46) 1 0-3
SLEEP QUALITY
Characteristics Categories N Mean score SD F p r©
P-value
Age in years <30
30-39
40-49
≥50
5
33
54
88
4.20
6.15
7.00
8.00
1.30
2.69
2.78
3.19
5.671 0.001 0.345 <0.001
Occupation Service
Business
Housewife
Retired
Day laborer
44
23
87
20
6
6.50
8.39
6.89
8.65
10.00
2.45
3.71
2.94
2.81
3.89
4.77 0.003
Diabetes duration
(Years)
<5
5 – 9
10 – 14
≥15
63
59
33
25
6.20
7.32
8.30
8.60
2.75
3.10
2.73
3.11
5.774 0.001
BMI Normal weight
Over weight
Obese
48
86
46
6.54
7.20
8.21
2.73
3.03
3.27
3.669 0.027
Diabetic complications Yes
No
111
69
8.09
6.00
3.26
2.19
t = 5.135 <0.001
Hypertension Yes
No
96
84
7.79
6.71
3.09
2.94
t = 2.382 0.018
Coronary heart disease Yes
No
27
153
9.21
6.93
3.16
2.92
t = 3.745 <0.001
OVERALL SLEEP QUALITY
Characteristics Categories N Mean score SD F p r©
P-value
Age in years <30
30-39
40-49
≥50
5
33
54
88
1.20
1.42
1.53
1.73
0.44
0.56
0.60
0.75
2.752 0.044 0.291 <0.001
Marital status Married
Others
143
37
1.52
1.91
0.62
0.79
t = -3.222 0.002
Glycemic control
level
r = 0.759 <0.001
Diabetic
complications
Yes
No
111
69
1.78
1.31
0.70
0.52
t = 5.033 <0.001
Hypertension Yes
No
96
84
1.70
1.48
0.69
0.64
t = 2.188 0.030
Coronary heart
disease
Yes
No
27
153
2.14
1.50
0.75
0.61
t = 4.817 0.018
SUBJECTIVE SLEEP QUALITY
Characteristics Categories N Mean score SD F p r©
P-value
Age in years <30
30-39
40-49
≥50
5
33
54
88
1.20
1.40
1.50
1.80
0.44
0.86
0.74
0.93
2.871 0.038 0.274 <0.001
Diabetes duration
(years)
<5
5 – 9
10 – 14
≥15
63
59
33
25
1.39
1.72
1.84
1.92
0.81
0.80
0.93
0.95
3.418 0.019
Diabetic
complications
Yes
No
111
69
1.84
1.36
0.90
0.72
t = 3.752 <0.001
Hypertension Yes
No
96
84
1.78
1.52
0.87
0.85
t = 1.991 0.048
SLEEP LATENCY
SOCIO-DEMOGRAPHICAL CHARACTERISTICS AND SLEEP
QUALITY
Characteristics Sleep quality Total n(%) χ2
P-value
Poor sleeper Good sleeper
n(%) n(%)
Sex
Male
Female
46(73.0)
71(60.7)
17(27.0)
46(39.3)
63
117
0.098 0.105
Marital status
Married
Others
87(60.8)
30(81.1)
56(39.2)
7(18.9)
143
37
0.021 0.022
Educational status
Up to primary
S.S.C to H.S.C
Graduates and above
30(66.7)
52(66.7)
35(61.4)
15(33.3)
26(33.3)
22(38.6)
45
78
57
0.427 0.789
Area of residence
Urban
Rural
103(67.3)
14(51.9)
50(32.7)
13(48.1)
153
27
2.414 0.120
Type of house
Pacca
Semi-pacca
104(67.1)
13(52.0)
51(32.9)
12(48.0)
155
25
2.157 0.142
DIABETES PROFILE OF THE RESPONDENTS AND SLEEP
QUALITY
Characteristics Sleep quality Total
n(%)
χ2
P-value OR with 95% CI
Poor sleeper Good sleeper
n(%) n (%)
Use of oral hypoglycemic agent
Yes
No
72(60.0)
45 (75.0)
48(40.0)
15(25.0)
120
60
3.956 0.049 2.00(1.0043.984)
Use of insulin
Yes
No
75(77.3)
42(50.6)
22(22.7)
41(49.4)
97
83
14.034 <0.001 0.30(0.158-0.570)
Presence of complications
Yes
No
80(72.1)
37(56.6)
31(27.9)
32(46.2)
111
69
6.366 0.016 2.23(1.190-4.187)
Hypertension
Yes
No
68(70.8)
49(58.3)
28(29.2)
35(41.7)
96
84
3.077 0.087 -
Coronary heart disease
Yes
No
24(85.7)
93(61.2)
4(14.3)
59(38.8)
28
152
6.254 0.016 3.80(1.257-11.52)
Characteristics Possible
maximum score
Mean (SD) Median Range
Overall quality
of life
3600 2044.80 (±512.75) 2220 914-2910
Physical health 2100 1261.19 (±334.14) 1370 415-1975
Mental health 1500 283.60 (±204.50) 829 325-1200
QUALITY OF LIFE
Characteristics Categories N Mean score SD F p r©
P-value
Age in years <30
30 – 39
40 – 49
≥50
5
33
54
88
2542.00
2378.00
2222.61
1782.14
230.500
241.500
368.990
536.790
21.678 <0.001 -0.599 <0.001
Occupation Service
Business
Housewife
Retired
Day laborer
44
23
87
20
6
2337.50
2114.65
2010.36
1687.05
1322.33
320.14
488.58
518.14
468.42
306.14
11.324 <0.001
Diabetes duration
(Years)
<5
5 – 9
10 – 14
≥15
63
59
33
25
2252.30
2177.92
1801.73
1528.60
383.54
401.67
528.46
534.40
20.917 <0.001
Insulin use Yes
No
97
83
2168.98
1938.53
554.55
430.03
t = 3.137 0.002
Hypertension Yes
No
96
84
1899.30
2211.08
498.57
479.61
t = -4.271 <0.001
Coronary heart disease Yes
No
27
153
1481.28
2148.60
508.52
442.38
t = -7.163 <0.001
OVERALL QUALITY OF LIFE
Characteristics Categories N Mean score SD F p r©
P-value
Age in years <30
30 – 39
40 – 49
≥50
5
33
54
88
1588.00
1489.24
1371.67
1089.32
143.248
187.517
241.496
342.048
22.324 <0.001 -0.603 <0.001
Diabetes duration
(Years)
<5
5 – 9
10 – 14
≥15
63
59
33
25
1415.24
1329.66
1097.42
927.60
267.43
258.21
347.24
315.40
21.934 <0.001
BMI Normal weight
Over weight
Obese
48
86
46
1414.89
1235.46
1148.91
239.12
324.01
383.08
8.604 <0.001 -0.316 <0.001
Insulin use Yes
No
97
83
1348.12
1186.80
286.70
354.75
t = 3.373 0.001
Hypertension Yes
No
96
84
1171.87
1363.27
314.49
328.35
t = -3.979 <0.001
Coronary heart disease Yes
No
27
153
877.85
1331.80
326.05
282.74
t = -7.575 <0.001
PHYSICAL HEALTH
Characteristics Categories N Mean score SD F p r©
P-value
Age in years <30
30 – 39
40 – 49
≥50
5
33
54
88
954.00
889.67
850.94
692.83
97.301
103.460
161.773
220.554
14.536 <0.001 -0.516 <0.001
Diabetes duration
(Years)
<5
5 – 9
10 – 14
≥15
63
59
33
25
837.06
848.25
707.30
601.00
145.55
182.38
215.03
232.35
14.308 <0.001
BMI Normal weight
Over weight
Obese
48
86
46
896.29
765.02
700.76
138.88
195.70
229.44
12.945 <0.001 -0.352 <0.001
Insulin use Yes
No
97
83
820.85
751.73
174.41
223.87
t = 2.331 0.021
Hypertension Yes
No
96
84
727.42
847.80
210.22
178.29
t = -4.111 <0.001
Coronary heart disease Yes
No
27
153
603.42
816.79
208.78
186.15
t = -5.469 <0.001
MENTAL HEALTH
Sleep quality Quality of life
Overall Physical health Mental health
r©
P-value r©
P-value r©
P-value
Overall quality of sleep -0.530 <0.001 -0.540 <0.001 -0.447 <0.001
Subjective sleep quality -0.539 <0.001 -0.535 <0.001 -0.474 <0.001
Sleep latency -0.462 <0.001 -0.472 <0.001 -0.387 <0.001
Sleep duration -0.322 <0.001 -0.329 <0.001 -0.270 <0.001
Habitual sleep efficiency -0.281 <0.001 -0.288 <0.001 -0.234 0.002
Sleep disturbance -0.180 0.015 -0.186 0.012 -0.148 0.048
Use of sleep medication -0.284 <0.001 -0.312 <0.001 -0.201 0.007
Day time dysfunction -0.529 <0.001 -0.499 <0.001 -0.511 <0.001
Sleep quality score in overall sleep quality and all domains were inversely correlated with overall quality of life, physical and
mental health score. There were strong significant correlation of overall sleep quality (r= -0.530, p<0.001), subjective sleep
quality(r= -0.539, p< 0.001) and day time dysfunction (r= -0.529, p<0.001) with overall quality of life.
Sleep quality score in overall sleep quality and all domains were inversely correlated with overall quality of life, physical and
mental health score. There were strong significant correlation of overall sleep quality (r= -0.530, p<0.001), subjective sleep
quality(r= -0.539, p< 0.001) and day time dysfunction (r= -0.529, p<0.001) with overall quality of life.
CORRELATION BETWEEN SLEEP QUALITY SCORE AND
QUALITY OF LIFE
Overall sleep quality was categorized into two groups good sleepers (score ≤5) and poor sleepers (score >5).
Relationship between the sleep quality with the overall quality of life, physical health and mental health was
significant (p>0.001). Average score in overall quality of life, physical and mental health domains were lower in
poor sleeper than good sleeper.
Overall sleep quality was categorized into two groups good sleepers (score ≤5) and poor sleepers (score >5).
Relationship between the sleep quality with the overall quality of life, physical health and mental health was
significant (p>0.001). Average score in overall quality of life, physical and mental health domains were lower in
poor sleeper than good sleeper.
Characteristics Sleep quality N Mean score SD t P-value
Overall quality of
life
Poor sleeper
Good sleeper
117
63
1905.48
2303.52
541.17
326.29
6.147 <0.001
Physical health Poor sleeper
Good sleeper
117
63
1169.31
1431.82
351.58
213.46
6.222 <0.001
Mental health Poor sleeper
Good sleeper
117
63
136.17
871.69
213.33
153.15
4.912 <0.001
OVERALL SLEEP QUALITY AND QUALITY OF LIFE
Linear regression analysis showed that duration of diabetes explains 26.1%, 15.3% and 8.6%
of the variability of physical and mental health components of SF-36 and PSQI respectively.
Linear regression analysis showed that duration of diabetes explains 26.1%, 15.3% and 8.6%
of the variability of physical and mental health components of SF-36 and PSQI respectively.
Duration of
Diabetes
R R Square Adjusted R Square Std. Error of the Estimate
Physical health
(PCS)
0.511 0.261 0.257 288.06804
Mental health
(MCS)
0.397 0.157 0.153 188.23365
Sleep quality
(PSQI) 0.293 0.086 0.081 2.94011
CRRELATION BETWEEN DURATION OF DIABETES WITH PCS,
MCS AND PSQI
On the other hand, linear regression analysis also showed that sleep quality explains
29.2% and 20.0% of the variability of physical health and mental health of the health
related quality of life.
On the other hand, linear regression analysis also showed that sleep quality explains
29.2% and 20.0% of the variability of physical health and mental health of the health
related quality of life.
Sleep Quality R R Square Adjusted R Square Std. Error of the Estimate
Physical health
(PCS)
0.540 0.292 0.288 282.00904
Mental health
(MCS) 0.447 0.200 0.196 183.40262
CORRELATION BETWEEN SLEEP QUALITY WITH PCS
AND MCS
The purpose of this study was to examine the relationship between
sleep quality and health-related of life in adults with type 2 diabetes.
To our knowledge, this is the first systematic investigation to find
out the association between poor sleep and quality of life in T2DM
in Bangladesh.
For this purpose, we interviewed one eighty individuals with type 2
diabetes through a semi-structured questionnaires and check list
assessing sleep quality, health-related quality of life, comorbidities.
CONCLUSION
117 participants (65%) were poor sleepers (global PSQI >5).
(Comparatively, previous studies have identified between 45% and 67% of persons with type 2
diabetes to have poor sleep quality and/or difficulty initiating or maintaining sleep.)
Poor sleeper had significantly poorer SF-36 PCS and MCS and
poorer functioning on each of the 8 domains of the SF-36 (all
p<0.001).
Poor sleeper tended to be aged, to be female, and to have more
comorbidities.
CONCLUSION
Overall quality of life is better in females than male but they are mentally
compromised.
Both sleep quality and quality of life were better in married persons than
others.
HRQOL was associated with age, years since diabetes diagnosis, number
of comorbidities, number of diabetic complications, insulin use.
On an average, the respondents who were suffering from diabetes ≥15
years had lower score in overall quality of life, physical and mental health.
Overall quality of life was highest in younger (15-29 years) and lowest in
elderly subjects (over 50 years). Life quality decreased with increasing
age.
CONCLUSION
These results suggest that poor sleep is common among persons with type
2 diabetes and that poor sleep quality is associated with HRQOL and
diabetes-related quality of life, in particular satisfaction with and impact of
treatment.
This study suggested that adequate sleep quality and quantity should be
considered a fundamental component of a healthy lifestyle, like weight
control and physical activity.
CONCLUSION
Ensure sleep hygiene strategies as part of diabetes management.
Ensure control blood sugar level with appropriate treatment for every type
2 diabetes patients.
Strategies should be designed to early diagnosis of diabetes and
aggressive management of blood pressure, hyperlipidaemia and
albuminuria should be ensured.
A comprehensive nationwide study about sleep quality and quality of life
of type 2 diabetes patients should be conducted.
RECOMMENDATION
My Supervisor
All respected faculties of MPH, AIUB
All my wonderful batch-mates of MPH
NHN, MIRPUR
ICDDR,B
My lovely family
&
Finally, American International University-
Bangladesh (AIUB)
ACKNOWLEDGEMENT
Sleep Quality and Quality of Life in Adults with Type 2 Diabetes

More Related Content

What's hot

AASK about Hypertension- JOURNAL CLUB
AASK  about Hypertension- JOURNAL CLUBAASK  about Hypertension- JOURNAL CLUB
AASK about Hypertension- JOURNAL CLUB
Hofstra Northwell School of Medicine
 
Cpeptide & Diabetes - DDA 2015
Cpeptide  &  Diabetes - DDA 2015Cpeptide  &  Diabetes - DDA 2015
Cpeptide & Diabetes - DDA 2015alaa wafa
 
UKPDS
UKPDSUKPDS
Complications of type 2 Diabetes mellitus
Complications of type 2 Diabetes mellitusComplications of type 2 Diabetes mellitus
Complications of type 2 Diabetes mellitusDebajyoti Chakraborty
 
Glycaemic Index- A key Factor in Diabetes Management
Glycaemic Index- A key Factor in Diabetes ManagementGlycaemic Index- A key Factor in Diabetes Management
Glycaemic Index- A key Factor in Diabetes Managementnutritionistrepublic
 
Lifestyle modification evidence-1
Lifestyle modification evidence-1Lifestyle modification evidence-1
Lifestyle modification evidence-1
Dr. Nayanjeet Chaudhury
 
Diabetes
Diabetes Diabetes
Diabetes
Balaji Thorat
 
Hyperglycemia in critically ill patients
Hyperglycemia in critically ill patientsHyperglycemia in critically ill patients
Hyperglycemia in critically ill patients
santoshbhskr
 
S us mr60 dr_selim
S us mr60 dr_selimS us mr60 dr_selim
Type 1 Diabetes Mellitus - Etiology
Type 1 Diabetes Mellitus - EtiologyType 1 Diabetes Mellitus - Etiology
Type 1 Diabetes Mellitus - Etiology
Shashikiran Umakanth
 
Diabetes and Sexual Dysfunction -Dr Shahjada Seliml
Diabetes and Sexual Dysfunction -Dr Shahjada SelimlDiabetes and Sexual Dysfunction -Dr Shahjada Seliml
Diabetes and Sexual Dysfunction -Dr Shahjada Seliml
Bangabandhu Sheikh Mujib Medical University
 
TIRZE ASUNCION 18AGO22.pptx
TIRZE ASUNCION 18AGO22.pptxTIRZE ASUNCION 18AGO22.pptx
TIRZE ASUNCION 18AGO22.pptx
CRISTOBAL MORALES PORTILLO
 
Type 2 Diabetes and Dementia: What's the link? A Review of the Metabolic and ...
Type 2 Diabetes and Dementia: What's the link? A Review of the Metabolic and ...Type 2 Diabetes and Dementia: What's the link? A Review of the Metabolic and ...
Type 2 Diabetes and Dementia: What's the link? A Review of the Metabolic and ...
Champlain Regional Coordination Centre
 

What's hot (13)

AASK about Hypertension- JOURNAL CLUB
AASK  about Hypertension- JOURNAL CLUBAASK  about Hypertension- JOURNAL CLUB
AASK about Hypertension- JOURNAL CLUB
 
Cpeptide & Diabetes - DDA 2015
Cpeptide  &  Diabetes - DDA 2015Cpeptide  &  Diabetes - DDA 2015
Cpeptide & Diabetes - DDA 2015
 
UKPDS
UKPDSUKPDS
UKPDS
 
Complications of type 2 Diabetes mellitus
Complications of type 2 Diabetes mellitusComplications of type 2 Diabetes mellitus
Complications of type 2 Diabetes mellitus
 
Glycaemic Index- A key Factor in Diabetes Management
Glycaemic Index- A key Factor in Diabetes ManagementGlycaemic Index- A key Factor in Diabetes Management
Glycaemic Index- A key Factor in Diabetes Management
 
Lifestyle modification evidence-1
Lifestyle modification evidence-1Lifestyle modification evidence-1
Lifestyle modification evidence-1
 
Diabetes
Diabetes Diabetes
Diabetes
 
Hyperglycemia in critically ill patients
Hyperglycemia in critically ill patientsHyperglycemia in critically ill patients
Hyperglycemia in critically ill patients
 
S us mr60 dr_selim
S us mr60 dr_selimS us mr60 dr_selim
S us mr60 dr_selim
 
Type 1 Diabetes Mellitus - Etiology
Type 1 Diabetes Mellitus - EtiologyType 1 Diabetes Mellitus - Etiology
Type 1 Diabetes Mellitus - Etiology
 
Diabetes and Sexual Dysfunction -Dr Shahjada Seliml
Diabetes and Sexual Dysfunction -Dr Shahjada SelimlDiabetes and Sexual Dysfunction -Dr Shahjada Seliml
Diabetes and Sexual Dysfunction -Dr Shahjada Seliml
 
TIRZE ASUNCION 18AGO22.pptx
TIRZE ASUNCION 18AGO22.pptxTIRZE ASUNCION 18AGO22.pptx
TIRZE ASUNCION 18AGO22.pptx
 
Type 2 Diabetes and Dementia: What's the link? A Review of the Metabolic and ...
Type 2 Diabetes and Dementia: What's the link? A Review of the Metabolic and ...Type 2 Diabetes and Dementia: What's the link? A Review of the Metabolic and ...
Type 2 Diabetes and Dementia: What's the link? A Review of the Metabolic and ...
 

Similar to Sleep Quality and Quality of Life in Adults with Type 2 Diabetes

PICOT Question and literature.docx
PICOT Question and literature.docxPICOT Question and literature.docx
PICOT Question and literature.docx
studywriters
 
C043015021
C043015021C043015021
C043015021
iosrphr_editor
 
C043015021
C043015021C043015021
C043015021
iosrphr_editor
 
152 International Journal of Nursing Education, Apr.docx
       152     International Journal of Nursing Education, Apr.docx       152     International Journal of Nursing Education, Apr.docx
152 International Journal of Nursing Education, Apr.docx
ShiraPrater50
 
152 International Journal of Nursing Education, Apr.docx
152     International Journal of Nursing Education, Apr.docx152     International Journal of Nursing Education, Apr.docx
152 International Journal of Nursing Education, Apr.docx
gertrudebellgrove
 
Anvin poster final
Anvin poster finalAnvin poster final
Anvin poster final
Anvin Thomas
 
RunningHead PICOT Question1RunningHead PICOT Question7.docx
RunningHead PICOT Question1RunningHead PICOT Question7.docxRunningHead PICOT Question1RunningHead PICOT Question7.docx
RunningHead PICOT Question1RunningHead PICOT Question7.docx
rtodd599
 
G0342037040
G0342037040G0342037040
G0342037040
inventionjournals
 
EXACT PROJECT PRESENTATION DM.pgefuggsggegeggehgegptx
EXACT PROJECT PRESENTATION DM.pgefuggsggegeggehgegptxEXACT PROJECT PRESENTATION DM.pgefuggsggegeggehgegptx
EXACT PROJECT PRESENTATION DM.pgefuggsggegeggehgegptx
Bindu238662
 
A Study to Assess the Effectiveness of Text Message Intervention on Preventio...
A Study to Assess the Effectiveness of Text Message Intervention on Preventio...A Study to Assess the Effectiveness of Text Message Intervention on Preventio...
A Study to Assess the Effectiveness of Text Message Intervention on Preventio...
ijtsrd
 
A Healthy Lifestyle Persuasive Application for Patients with Type-2 Diabetes
A Healthy Lifestyle Persuasive Application for Patients with Type-2 DiabetesA Healthy Lifestyle Persuasive Application for Patients with Type-2 Diabetes
A Healthy Lifestyle Persuasive Application for Patients with Type-2 Diabetes
SERAG M IMHEMED
 
J377783
J377783J377783
Health Seeking Behaviors following Diabetes Mellitus of Various Ethnic Groups...
Health Seeking Behaviors following Diabetes Mellitus of Various Ethnic Groups...Health Seeking Behaviors following Diabetes Mellitus of Various Ethnic Groups...
Health Seeking Behaviors following Diabetes Mellitus of Various Ethnic Groups...
ijtsrd
 
Research poster presentation
Research poster presentationResearch poster presentation
Research poster presentation
Anvin Thomas
 
My proposal defense of the coming month of may PPT FOR DEFENSE
My proposal defense of the coming month of may PPT FOR DEFENSEMy proposal defense of the coming month of may PPT FOR DEFENSE
My proposal defense of the coming month of may PPT FOR DEFENSE
ibrahimabdi22
 
Comparison of autocorrelation between CV-RISK independent variables in groups...
Comparison of autocorrelation between CV-RISK independent variables in groups...Comparison of autocorrelation between CV-RISK independent variables in groups...
Comparison of autocorrelation between CV-RISK independent variables in groups...
YohanesFirmansyah1
 
The Effect of Community Risk Perception on Type-2 Diabetes Mellitus Screening...
The Effect of Community Risk Perception on Type-2 Diabetes Mellitus Screening...The Effect of Community Risk Perception on Type-2 Diabetes Mellitus Screening...
The Effect of Community Risk Perception on Type-2 Diabetes Mellitus Screening...Carly Freeman
 
IOSR Journal of Pharmacy (IOSRPHR)
IOSR Journal of Pharmacy (IOSRPHR)IOSR Journal of Pharmacy (IOSRPHR)
IOSR Journal of Pharmacy (IOSRPHR)
iosrphr_editor
 

Similar to Sleep Quality and Quality of Life in Adults with Type 2 Diabetes (20)

PICOT Question and literature.docx
PICOT Question and literature.docxPICOT Question and literature.docx
PICOT Question and literature.docx
 
C043015021
C043015021C043015021
C043015021
 
C043015021
C043015021C043015021
C043015021
 
152 International Journal of Nursing Education, Apr.docx
       152     International Journal of Nursing Education, Apr.docx       152     International Journal of Nursing Education, Apr.docx
152 International Journal of Nursing Education, Apr.docx
 
152 International Journal of Nursing Education, Apr.docx
152     International Journal of Nursing Education, Apr.docx152     International Journal of Nursing Education, Apr.docx
152 International Journal of Nursing Education, Apr.docx
 
Anvin poster final
Anvin poster finalAnvin poster final
Anvin poster final
 
RunningHead PICOT Question1RunningHead PICOT Question7.docx
RunningHead PICOT Question1RunningHead PICOT Question7.docxRunningHead PICOT Question1RunningHead PICOT Question7.docx
RunningHead PICOT Question1RunningHead PICOT Question7.docx
 
G0342037040
G0342037040G0342037040
G0342037040
 
Naheed
NaheedNaheed
Naheed
 
EXACT PROJECT PRESENTATION DM.pgefuggsggegeggehgegptx
EXACT PROJECT PRESENTATION DM.pgefuggsggegeggehgegptxEXACT PROJECT PRESENTATION DM.pgefuggsggegeggehgegptx
EXACT PROJECT PRESENTATION DM.pgefuggsggegeggehgegptx
 
A Study to Assess the Effectiveness of Text Message Intervention on Preventio...
A Study to Assess the Effectiveness of Text Message Intervention on Preventio...A Study to Assess the Effectiveness of Text Message Intervention on Preventio...
A Study to Assess the Effectiveness of Text Message Intervention on Preventio...
 
Dm ph d protocal final
Dm ph d protocal finalDm ph d protocal final
Dm ph d protocal final
 
A Healthy Lifestyle Persuasive Application for Patients with Type-2 Diabetes
A Healthy Lifestyle Persuasive Application for Patients with Type-2 DiabetesA Healthy Lifestyle Persuasive Application for Patients with Type-2 Diabetes
A Healthy Lifestyle Persuasive Application for Patients with Type-2 Diabetes
 
J377783
J377783J377783
J377783
 
Health Seeking Behaviors following Diabetes Mellitus of Various Ethnic Groups...
Health Seeking Behaviors following Diabetes Mellitus of Various Ethnic Groups...Health Seeking Behaviors following Diabetes Mellitus of Various Ethnic Groups...
Health Seeking Behaviors following Diabetes Mellitus of Various Ethnic Groups...
 
Research poster presentation
Research poster presentationResearch poster presentation
Research poster presentation
 
My proposal defense of the coming month of may PPT FOR DEFENSE
My proposal defense of the coming month of may PPT FOR DEFENSEMy proposal defense of the coming month of may PPT FOR DEFENSE
My proposal defense of the coming month of may PPT FOR DEFENSE
 
Comparison of autocorrelation between CV-RISK independent variables in groups...
Comparison of autocorrelation between CV-RISK independent variables in groups...Comparison of autocorrelation between CV-RISK independent variables in groups...
Comparison of autocorrelation between CV-RISK independent variables in groups...
 
The Effect of Community Risk Perception on Type-2 Diabetes Mellitus Screening...
The Effect of Community Risk Perception on Type-2 Diabetes Mellitus Screening...The Effect of Community Risk Perception on Type-2 Diabetes Mellitus Screening...
The Effect of Community Risk Perception on Type-2 Diabetes Mellitus Screening...
 
IOSR Journal of Pharmacy (IOSRPHR)
IOSR Journal of Pharmacy (IOSRPHR)IOSR Journal of Pharmacy (IOSRPHR)
IOSR Journal of Pharmacy (IOSRPHR)
 

Recently uploaded

Leading the Way in Nephrology: Dr. David Greene's Work with Stem Cells for Ki...
Leading the Way in Nephrology: Dr. David Greene's Work with Stem Cells for Ki...Leading the Way in Nephrology: Dr. David Greene's Work with Stem Cells for Ki...
Leading the Way in Nephrology: Dr. David Greene's Work with Stem Cells for Ki...
Dr. David Greene Arizona
 
Dimensions of Healthcare Quality
Dimensions of Healthcare QualityDimensions of Healthcare Quality
Dimensions of Healthcare Quality
Naeemshahzad51
 
What Are Homeopathic Treatments for Migraines.pdf
What Are Homeopathic Treatments for Migraines.pdfWhat Are Homeopathic Treatments for Migraines.pdf
What Are Homeopathic Treatments for Migraines.pdf
Dharma Homoeopathy
 
VERIFICATION AND VALIDATION TOOLKIT Determining Performance Characteristics o...
VERIFICATION AND VALIDATION TOOLKIT Determining Performance Characteristics o...VERIFICATION AND VALIDATION TOOLKIT Determining Performance Characteristics o...
VERIFICATION AND VALIDATION TOOLKIT Determining Performance Characteristics o...
Nguyễn Thị Vân Anh
 
How many patients does case series should have In comparison to case reports.pdf
How many patients does case series should have In comparison to case reports.pdfHow many patients does case series should have In comparison to case reports.pdf
How many patients does case series should have In comparison to case reports.pdf
pubrica101
 
GENERAL PHARMACOLOGY - INTRODUCTION DENTAL.ppt
GENERAL PHARMACOLOGY - INTRODUCTION DENTAL.pptGENERAL PHARMACOLOGY - INTRODUCTION DENTAL.ppt
GENERAL PHARMACOLOGY - INTRODUCTION DENTAL.ppt
Mangaiarkkarasi
 
Haridwar ❤CALL Girls 🔝 89011★83002 🔝 ❤ℂall Girls IN Haridwar ESCORT SERVICE❤
Haridwar ❤CALL Girls 🔝 89011★83002 🔝 ❤ℂall Girls IN Haridwar ESCORT SERVICE❤Haridwar ❤CALL Girls 🔝 89011★83002 🔝 ❤ℂall Girls IN Haridwar ESCORT SERVICE❤
Haridwar ❤CALL Girls 🔝 89011★83002 🔝 ❤ℂall Girls IN Haridwar ESCORT SERVICE❤
ranishasharma67
 
CHAPTER 1 SEMESTER V - ROLE OF PEADIATRIC NURSE.pdf
CHAPTER 1 SEMESTER V - ROLE OF PEADIATRIC NURSE.pdfCHAPTER 1 SEMESTER V - ROLE OF PEADIATRIC NURSE.pdf
CHAPTER 1 SEMESTER V - ROLE OF PEADIATRIC NURSE.pdf
Sachin Sharma
 
Preventing Pickleball Injuries & Treatment
Preventing Pickleball Injuries & TreatmentPreventing Pickleball Injuries & Treatment
Preventing Pickleball Injuries & Treatment
LAB Sports Therapy
 
Navigating the Health Insurance Market_ Understanding Trends and Options.pdf
Navigating the Health Insurance Market_ Understanding Trends and Options.pdfNavigating the Health Insurance Market_ Understanding Trends and Options.pdf
Navigating the Health Insurance Market_ Understanding Trends and Options.pdf
Enterprise Wired
 
R3 Stem Cells and Kidney Repair A New Horizon in Nephrology.pptx
R3 Stem Cells and Kidney Repair A New Horizon in Nephrology.pptxR3 Stem Cells and Kidney Repair A New Horizon in Nephrology.pptx
R3 Stem Cells and Kidney Repair A New Horizon in Nephrology.pptx
R3 Stem Cell
 
India Clinical Trials Market: Industry Size and Growth Trends [2030] Analyzed...
India Clinical Trials Market: Industry Size and Growth Trends [2030] Analyzed...India Clinical Trials Market: Industry Size and Growth Trends [2030] Analyzed...
India Clinical Trials Market: Industry Size and Growth Trends [2030] Analyzed...
Kumar Satyam
 
Jaipur ❤cALL gIRLS 89O1183002 ❤ℂall Girls IN JaiPuR ESCORT SERVICE
Jaipur ❤cALL gIRLS 89O1183002 ❤ℂall Girls IN JaiPuR ESCORT SERVICEJaipur ❤cALL gIRLS 89O1183002 ❤ℂall Girls IN JaiPuR ESCORT SERVICE
Jaipur ❤cALL gIRLS 89O1183002 ❤ℂall Girls IN JaiPuR ESCORT SERVICE
ranishasharma67
 
GLOBAL WARMING BY PRIYA BHOJWANI @..pptx
GLOBAL WARMING BY PRIYA BHOJWANI @..pptxGLOBAL WARMING BY PRIYA BHOJWANI @..pptx
GLOBAL WARMING BY PRIYA BHOJWANI @..pptx
priyabhojwani1200
 
GURGAON Call Girls ❤8901183002❤ #ℂALL# #gIRLS# In GURGAON ₹,2500 Cash Payment...
GURGAON Call Girls ❤8901183002❤ #ℂALL# #gIRLS# In GURGAON ₹,2500 Cash Payment...GURGAON Call Girls ❤8901183002❤ #ℂALL# #gIRLS# In GURGAON ₹,2500 Cash Payment...
GURGAON Call Girls ❤8901183002❤ #ℂALL# #gIRLS# In GURGAON ₹,2500 Cash Payment...
ranishasharma67
 
A Community health , health for prisoners
A Community health  , health for prisonersA Community health  , health for prisoners
A Community health , health for prisoners
Ahmed Elmi
 
Antibiotic Stewardship by Anushri Srivastava.pptx
Antibiotic Stewardship by Anushri Srivastava.pptxAntibiotic Stewardship by Anushri Srivastava.pptx
Antibiotic Stewardship by Anushri Srivastava.pptx
AnushriSrivastav
 
Navigating Challenges: Mental Health, Legislation, and the Prison System in B...
Navigating Challenges: Mental Health, Legislation, and the Prison System in B...Navigating Challenges: Mental Health, Legislation, and the Prison System in B...
Navigating Challenges: Mental Health, Legislation, and the Prison System in B...
Guillermo Rivera
 
POLYCYSTIC OVARIAN SYNDROME (PCOS)......
POLYCYSTIC OVARIAN SYNDROME (PCOS)......POLYCYSTIC OVARIAN SYNDROME (PCOS)......
POLYCYSTIC OVARIAN SYNDROME (PCOS)......
Ameena Kadar
 
the IUA Administrative Board and General Assembly meeting
the IUA Administrative Board and General Assembly meetingthe IUA Administrative Board and General Assembly meeting
the IUA Administrative Board and General Assembly meeting
ssuser787e5c1
 

Recently uploaded (20)

Leading the Way in Nephrology: Dr. David Greene's Work with Stem Cells for Ki...
Leading the Way in Nephrology: Dr. David Greene's Work with Stem Cells for Ki...Leading the Way in Nephrology: Dr. David Greene's Work with Stem Cells for Ki...
Leading the Way in Nephrology: Dr. David Greene's Work with Stem Cells for Ki...
 
Dimensions of Healthcare Quality
Dimensions of Healthcare QualityDimensions of Healthcare Quality
Dimensions of Healthcare Quality
 
What Are Homeopathic Treatments for Migraines.pdf
What Are Homeopathic Treatments for Migraines.pdfWhat Are Homeopathic Treatments for Migraines.pdf
What Are Homeopathic Treatments for Migraines.pdf
 
VERIFICATION AND VALIDATION TOOLKIT Determining Performance Characteristics o...
VERIFICATION AND VALIDATION TOOLKIT Determining Performance Characteristics o...VERIFICATION AND VALIDATION TOOLKIT Determining Performance Characteristics o...
VERIFICATION AND VALIDATION TOOLKIT Determining Performance Characteristics o...
 
How many patients does case series should have In comparison to case reports.pdf
How many patients does case series should have In comparison to case reports.pdfHow many patients does case series should have In comparison to case reports.pdf
How many patients does case series should have In comparison to case reports.pdf
 
GENERAL PHARMACOLOGY - INTRODUCTION DENTAL.ppt
GENERAL PHARMACOLOGY - INTRODUCTION DENTAL.pptGENERAL PHARMACOLOGY - INTRODUCTION DENTAL.ppt
GENERAL PHARMACOLOGY - INTRODUCTION DENTAL.ppt
 
Haridwar ❤CALL Girls 🔝 89011★83002 🔝 ❤ℂall Girls IN Haridwar ESCORT SERVICE❤
Haridwar ❤CALL Girls 🔝 89011★83002 🔝 ❤ℂall Girls IN Haridwar ESCORT SERVICE❤Haridwar ❤CALL Girls 🔝 89011★83002 🔝 ❤ℂall Girls IN Haridwar ESCORT SERVICE❤
Haridwar ❤CALL Girls 🔝 89011★83002 🔝 ❤ℂall Girls IN Haridwar ESCORT SERVICE❤
 
CHAPTER 1 SEMESTER V - ROLE OF PEADIATRIC NURSE.pdf
CHAPTER 1 SEMESTER V - ROLE OF PEADIATRIC NURSE.pdfCHAPTER 1 SEMESTER V - ROLE OF PEADIATRIC NURSE.pdf
CHAPTER 1 SEMESTER V - ROLE OF PEADIATRIC NURSE.pdf
 
Preventing Pickleball Injuries & Treatment
Preventing Pickleball Injuries & TreatmentPreventing Pickleball Injuries & Treatment
Preventing Pickleball Injuries & Treatment
 
Navigating the Health Insurance Market_ Understanding Trends and Options.pdf
Navigating the Health Insurance Market_ Understanding Trends and Options.pdfNavigating the Health Insurance Market_ Understanding Trends and Options.pdf
Navigating the Health Insurance Market_ Understanding Trends and Options.pdf
 
R3 Stem Cells and Kidney Repair A New Horizon in Nephrology.pptx
R3 Stem Cells and Kidney Repair A New Horizon in Nephrology.pptxR3 Stem Cells and Kidney Repair A New Horizon in Nephrology.pptx
R3 Stem Cells and Kidney Repair A New Horizon in Nephrology.pptx
 
India Clinical Trials Market: Industry Size and Growth Trends [2030] Analyzed...
India Clinical Trials Market: Industry Size and Growth Trends [2030] Analyzed...India Clinical Trials Market: Industry Size and Growth Trends [2030] Analyzed...
India Clinical Trials Market: Industry Size and Growth Trends [2030] Analyzed...
 
Jaipur ❤cALL gIRLS 89O1183002 ❤ℂall Girls IN JaiPuR ESCORT SERVICE
Jaipur ❤cALL gIRLS 89O1183002 ❤ℂall Girls IN JaiPuR ESCORT SERVICEJaipur ❤cALL gIRLS 89O1183002 ❤ℂall Girls IN JaiPuR ESCORT SERVICE
Jaipur ❤cALL gIRLS 89O1183002 ❤ℂall Girls IN JaiPuR ESCORT SERVICE
 
GLOBAL WARMING BY PRIYA BHOJWANI @..pptx
GLOBAL WARMING BY PRIYA BHOJWANI @..pptxGLOBAL WARMING BY PRIYA BHOJWANI @..pptx
GLOBAL WARMING BY PRIYA BHOJWANI @..pptx
 
GURGAON Call Girls ❤8901183002❤ #ℂALL# #gIRLS# In GURGAON ₹,2500 Cash Payment...
GURGAON Call Girls ❤8901183002❤ #ℂALL# #gIRLS# In GURGAON ₹,2500 Cash Payment...GURGAON Call Girls ❤8901183002❤ #ℂALL# #gIRLS# In GURGAON ₹,2500 Cash Payment...
GURGAON Call Girls ❤8901183002❤ #ℂALL# #gIRLS# In GURGAON ₹,2500 Cash Payment...
 
A Community health , health for prisoners
A Community health  , health for prisonersA Community health  , health for prisoners
A Community health , health for prisoners
 
Antibiotic Stewardship by Anushri Srivastava.pptx
Antibiotic Stewardship by Anushri Srivastava.pptxAntibiotic Stewardship by Anushri Srivastava.pptx
Antibiotic Stewardship by Anushri Srivastava.pptx
 
Navigating Challenges: Mental Health, Legislation, and the Prison System in B...
Navigating Challenges: Mental Health, Legislation, and the Prison System in B...Navigating Challenges: Mental Health, Legislation, and the Prison System in B...
Navigating Challenges: Mental Health, Legislation, and the Prison System in B...
 
POLYCYSTIC OVARIAN SYNDROME (PCOS)......
POLYCYSTIC OVARIAN SYNDROME (PCOS)......POLYCYSTIC OVARIAN SYNDROME (PCOS)......
POLYCYSTIC OVARIAN SYNDROME (PCOS)......
 
the IUA Administrative Board and General Assembly meeting
the IUA Administrative Board and General Assembly meetingthe IUA Administrative Board and General Assembly meeting
the IUA Administrative Board and General Assembly meeting
 

Sleep Quality and Quality of Life in Adults with Type 2 Diabetes

  • 1. Dr.Dr. S. M. Niaz MowlaS. M. Niaz Mowla ID NOID NO:: 14-98060-314-98060-3 Department of Public HealthDepartment of Public Health American International University- Bangladesh (AIUB)American International University- Bangladesh (AIUB) Banani, Dhaka- 1213Banani, Dhaka- 1213 Sleep Quality and Quality of Life in Adults with Type 2Sleep Quality and Quality of Life in Adults with Type 2 DiabetesDiabetes Sleep Quality and Quality of Life in Adults with Type 2Sleep Quality and Quality of Life in Adults with Type 2 DiabetesDiabetes
  • 2. 2014 2035 Diabetes is a huge and growing problem… Intersects with all dimensions of development BACKGROUND Among these, type 2 diabetes constitutes about 85-95% of all diabetes.
  • 3. BACKGROUND Prevalence and rate ratios of self-reported health as "fair" or "poor" among individuals aged 20 years and older, by age group and diabetes status, Canada, 2009-2010 How people perceive their general health provides a good indication of their quality of life.  How people perceive their general health provides a good indication of their quality of life.  In 2009-2010, nearly two-fifths (39.1%) of Canadians aged 20 years and older who reported having diabetes rated their health as "fair" or "poor", compared to a tenth of the adult population without diabetes (10.3%). In 2009-2010, nearly two-fifths (39.1%) of Canadians aged 20 years and older who reported having diabetes rated their health as "fair" or "poor", compared to a tenth of the adult population without diabetes (10.3%). Source: Public Health Agency of Canada (2011)
  • 4. BACKGROUND HRQOL is an  important outcome- To evaluate the impact of the disease and its  treatment on individuals and health care costs. People  with  type  2  diabetes  have  a  worse  quality  of  life  than  people  with  no  diabetes. Poor sleep is prevalent in T2DM and inversely associated with quality of life.  Sleep quality is an important clinical consideration for two major reasons.  1.Complaints about sleep quality are common. 2.Poor sleep quality can be an important symptom of many sleep and medical chronic  disorders. 
  • 5. BACKGROUND This study was a baseline survey which will-  Initiate  further  specific  study  and  explore  new  idea  for  the  policy  makers  and  service providers and diabetes educators,                --- to play a key role in assessing sleep and providing easy to improve sleep  hygiene and quality of life,               ---to emphasize of screening new patients for sleep problems, making a  suggesting sleep hygiene strategies as part of diabetes management.
  • 6. JUSTIFICATION OF THE STUDY Studies showed- T2DM adversely affect both well being and physical functioning,  contributing to decrease HRQOL as well as sleep quality.  These studies were carried out in Europe, the USA and Japan.  Do  not  represent  population  across  the  globe.  Particularly  those  from  Indian  subcontinent.   Not clear whether the results are applicable to the Bangladeshi population. About 80% of T2DM occur in developing world. 9th  leading cause of death in Bangladesh. (CDC in Bangladesh factsheet, 2014) In 2030- BD will hold the 8th position according to the total cases of DM in adult  population.  Time  to  determine  the  sleep  quality  and  quality  of  life  in  adults  with  T2DM  patients in BD for a more comprehensive and intensive approach to diabetic care as  diabetes depends on ethnicity. 
  • 8. OBJECTIVES General ObjectivesGeneral Objectives To  find  out  the  sleep  quality  and  quality  of  life  in  adults  with  Type  2  Diabetes.   Specific ObjectivesSpecific Objectives To assess the sleep quality in adults with type 2 diabetes using Pittsburg   Sleep Quality Index. To assess quality of life of the respondents using  SF-36 v2TM .  To  determine  the  association  between  sleep  quality  and  quality  of  life  among the respondents.
  • 9. Independent VariablesIndependent VariablesIndependent VariablesIndependent Variables Dependent VariablesDependent VariablesDependent VariablesDependent Variables • Age  • Sex • Religion • Marital status • Educational qualification • Occupation • Monthly family income • Duration of diabetes  • Present treatment  profile  • Number of diabetic  complication  • Presence of co- morbidities DemographicDemographic Diabetes MellitusDiabetes Mellitus • Sleep latency • Sleep duration • Habitual sleep  efficiency • Sleep disturbances • Use of sleeping  medication • Day time dysfunction Physical functioning Role physical Bodily pain General health Mental health Vitality Social functioning Role emotional   Sleep QualitySleep Quality Quality of LifeQuality of Life STUDY VARIABLES
  • 10. Diabetes related variable Duration of diabetes, Treatment status  (Insulin), Complications of diabetes,  Presence of co-morbidities Patient’s characteristics Age, Sex, Marital status, Education,  Occupation, Family income Sleep quality Sleep latency, Sleep duration, Habitual  sleep efficiency, Sleep disturbance,  Use of sleeping medication, Day time  dysfunction Sleep quality Sleep latency, Sleep duration, Habitual  sleep efficiency, Sleep disturbance,  Use of sleeping medication, Day time  dysfunction Quality of life Physical functioning, Role physical,  Bodily pain, General health, Mental  health, Vitality, Social functioning,  Role emotional Quality of life Physical functioning, Role physical,  Bodily pain, General health, Mental  health, Vitality, Social functioning,  Role emotional CONCEPTUAL FRAMEWORK
  • 11. METHODOLOGY Study DesignStudy Design A cross sectional study.    Study TimeStudy Time The total study period was six months, commencing from July, 2015. 
  • 13. Inclusion CriteriaInclusion Criteria  Age – (25 - 60 years).  Duration of Diabetes more than 1 years. Attending the National Healthcare Network, Mirpur hospital.        Exclusion CriteriaExclusion Criteria Type 1 diabetes.   Diagnosed sleep disorder prior to diabetes.  Diabetes with pregnancy.    Inability to communicate due to physical and mental health. METHODOLOGY
  • 14. Sampling Method and Sampling SizeSampling Method and Sampling Size Due  to  time  and  resource  constrains,  my  study  participants  were  180.  Convenient  sampling  was  followed  for  selection  of  study  sample  due  to  scarcity of cases. METHODOLOGY
  • 15. Data Collection InstrumentsData Collection Instruments  A semi- structured questionnaire and checklist was used to collect data. The questionnaire was prepared by following SF-36 version 2 to assess the HRQOL and PSQI to assess the sleep quality. It was prepared in English and then translated to Bangla. Data Collection ProcedureData Collection Procedure Face to face interview. Record review. METHODOLOGY
  • 16. Data Processing and Analysis PlanData Processing and Analysis Plan  At the end of each day of data collection each questionnaire was checked to see whether the questionnaire is filled completely and consistently. Then they were stored after giving appropriate identification number. The data were analyzed in computer with SPSS 20.0 version. After meticulous cleaning and editing of the data, an analysis plan was structured with relevance to study objective. METHODOLOGY
  • 17. Data Processing and Analysis Plan (Cont…)Data Processing and Analysis Plan (Cont…) For descriptive statistics- means, medians, standard deviations, ranges for continuous data and frequencies and proportion for categorical data were calculated. For inferential statistics- one way ANOVA, t test, χ2 test and Pearson’s correlation were calculated. Linear regression analysis was used to examine the relationships between PSQI and HRQOL. In all the tests, p 0.05 was considered to be statistically significant.˂ METHODOLOGY
  • 18. Data Quality ManagementData Quality Management Pre testing of questionnaire was made to assess the validity in out of the study area. On spot-check & review of the filled up questionnaires on daily bases to ensure completeness and consistency. Ethical IssuesEthical Issues Ethical Approval was obtained from Research Committee of AIUB. Verbal consent of the study participants was obtained. Study has done through collection of data using questionnaire and neither any intervention nor any invasive procedures has undertaken. Privacy and highest confidentiality of the participant was maintained strictly. All other ethical issues were handled properly. METHODOLOGY
  • 19. Limitation of the StudyLimitation of the Study Limited number of research works on sleep quality in adults with T2DM of BD. Sampling technique- convenient method- result might not be generalized for other population. Possibility of recall bias of the respondents. Did not include a control group. Sample size limited to 180. METHODOLOGY
  • 20.
  • 21. Highest proportion of the respondent (48.9%) was ≥ 50 years age group followed by 40-49 years age group (30%). Mean (SD) age of the respondents were 48.31 (±9.02) years. Highest proportion of the respondent (48.9%) was ≥ 50 years age group followed by 40-49 years age group (30%). Mean (SD) age of the respondents were 48.31 (±9.02) years. SOCIO-DEMOGRAPHIC CHARACTER-AGE
  • 22. 35% 65% Gender distribution of the respondents Male Female SOCIO-DEMOGRAPHIC CHARACTER-GENDER
  • 23. Secondary 16% Higher secondary 27% Graduate 15% Post graduate 17% Illiterate 1% Can sign only 7% Primary 17% Upto primary [25%] Major proportion of respondents (43.3%) were in the educational level of S.S.C and H.S.C, up to primary level there were 25% patients, the rest were graduates and above. Major proportion of respondents (43.3%) were in the educational level of S.S.C and H.S.C, up to primary level there were 25% patients, the rest were graduates and above. SOCIO-DEMOGRAPHIC CHARACTER-EDUCATIONAL QUALIFICATION
  • 26. Characteristics Frequency Percent Monthly family income <20000 20000 to 29000 30000 to 39000 40000 to 49000 50000 to 59000 ≥60000 62 13 33 14 22 36 34.4 7.2 18.3 7.8 12.3 20.0 Family size <5 5 – 6 7 – 8 >8 121 21 24 14 67.2 11.7 13.3 7.8 Ownership of house No Yes 96 84 53.3 46.7 Type of house Pacca building Semi- pacca building 155 25 86.1 13.9 Area of residence Urban Rural 153 27 85.0 15.0 SOCIO-DEMOGRAPHIC CHARACTER-OTHERS
  • 27. PERCENT DISTRIBUTION OF RESPONDENTS BY DURATION OF DIABETES
  • 28. PERCENT DISTRIBUTION OF RESPONDENTS BY VARIOUS COMPLICATIONS DUE TO DIABETES
  • 29. PERCENT DISTRIBUTION OF RESPONDENTS BY SELF REPORTED HEALTH STATUS
  • 30. PERCENT DISTRIBUTION OF RESPONDENTS BY PHYSICAL ACTIVITIES
  • 31. PERCENT DISTRIBUTION OF RESPONDENTS BY PHYSICAL EMOTIONAL PROBLEMS DURING PAST 4 WEEKS
  • 32. PERCENT DISTRIBUTION OF RESPONDENTS BY CAUSES OF TROUBLE SLEEPING
  • 33. Characteristics Possible maximum score Mean (SD) Median Range Overall sleep quality 21 7.28(±3.06) 7 3-15 Subjective sleep quality 3 1.60(±0.68) 2 0-3 Sleep latency 3 1.66(±0.87) 2 0-3 Sleep duration 3 1.42(±0.89) 1 0-3 Habitual sleep efficiency 3 1.00(±1.07) 1 0-3 Sleep disturbance 3 1.02(±0.14) 1 1-2 Use of sleep medication 3 0.93(±1.01) 1 0-3 Day time dysfunction 3 1.06(±0.46) 1 0-3 SLEEP QUALITY
  • 34. Characteristics Categories N Mean score SD F p r© P-value Age in years <30 30-39 40-49 ≥50 5 33 54 88 4.20 6.15 7.00 8.00 1.30 2.69 2.78 3.19 5.671 0.001 0.345 <0.001 Occupation Service Business Housewife Retired Day laborer 44 23 87 20 6 6.50 8.39 6.89 8.65 10.00 2.45 3.71 2.94 2.81 3.89 4.77 0.003 Diabetes duration (Years) <5 5 – 9 10 – 14 ≥15 63 59 33 25 6.20 7.32 8.30 8.60 2.75 3.10 2.73 3.11 5.774 0.001 BMI Normal weight Over weight Obese 48 86 46 6.54 7.20 8.21 2.73 3.03 3.27 3.669 0.027 Diabetic complications Yes No 111 69 8.09 6.00 3.26 2.19 t = 5.135 <0.001 Hypertension Yes No 96 84 7.79 6.71 3.09 2.94 t = 2.382 0.018 Coronary heart disease Yes No 27 153 9.21 6.93 3.16 2.92 t = 3.745 <0.001 OVERALL SLEEP QUALITY
  • 35. Characteristics Categories N Mean score SD F p r© P-value Age in years <30 30-39 40-49 ≥50 5 33 54 88 1.20 1.42 1.53 1.73 0.44 0.56 0.60 0.75 2.752 0.044 0.291 <0.001 Marital status Married Others 143 37 1.52 1.91 0.62 0.79 t = -3.222 0.002 Glycemic control level r = 0.759 <0.001 Diabetic complications Yes No 111 69 1.78 1.31 0.70 0.52 t = 5.033 <0.001 Hypertension Yes No 96 84 1.70 1.48 0.69 0.64 t = 2.188 0.030 Coronary heart disease Yes No 27 153 2.14 1.50 0.75 0.61 t = 4.817 0.018 SUBJECTIVE SLEEP QUALITY
  • 36. Characteristics Categories N Mean score SD F p r© P-value Age in years <30 30-39 40-49 ≥50 5 33 54 88 1.20 1.40 1.50 1.80 0.44 0.86 0.74 0.93 2.871 0.038 0.274 <0.001 Diabetes duration (years) <5 5 – 9 10 – 14 ≥15 63 59 33 25 1.39 1.72 1.84 1.92 0.81 0.80 0.93 0.95 3.418 0.019 Diabetic complications Yes No 111 69 1.84 1.36 0.90 0.72 t = 3.752 <0.001 Hypertension Yes No 96 84 1.78 1.52 0.87 0.85 t = 1.991 0.048 SLEEP LATENCY
  • 37. SOCIO-DEMOGRAPHICAL CHARACTERISTICS AND SLEEP QUALITY Characteristics Sleep quality Total n(%) χ2 P-value Poor sleeper Good sleeper n(%) n(%) Sex Male Female 46(73.0) 71(60.7) 17(27.0) 46(39.3) 63 117 0.098 0.105 Marital status Married Others 87(60.8) 30(81.1) 56(39.2) 7(18.9) 143 37 0.021 0.022 Educational status Up to primary S.S.C to H.S.C Graduates and above 30(66.7) 52(66.7) 35(61.4) 15(33.3) 26(33.3) 22(38.6) 45 78 57 0.427 0.789 Area of residence Urban Rural 103(67.3) 14(51.9) 50(32.7) 13(48.1) 153 27 2.414 0.120 Type of house Pacca Semi-pacca 104(67.1) 13(52.0) 51(32.9) 12(48.0) 155 25 2.157 0.142
  • 38. DIABETES PROFILE OF THE RESPONDENTS AND SLEEP QUALITY Characteristics Sleep quality Total n(%) χ2 P-value OR with 95% CI Poor sleeper Good sleeper n(%) n (%) Use of oral hypoglycemic agent Yes No 72(60.0) 45 (75.0) 48(40.0) 15(25.0) 120 60 3.956 0.049 2.00(1.0043.984) Use of insulin Yes No 75(77.3) 42(50.6) 22(22.7) 41(49.4) 97 83 14.034 <0.001 0.30(0.158-0.570) Presence of complications Yes No 80(72.1) 37(56.6) 31(27.9) 32(46.2) 111 69 6.366 0.016 2.23(1.190-4.187) Hypertension Yes No 68(70.8) 49(58.3) 28(29.2) 35(41.7) 96 84 3.077 0.087 - Coronary heart disease Yes No 24(85.7) 93(61.2) 4(14.3) 59(38.8) 28 152 6.254 0.016 3.80(1.257-11.52)
  • 39. Characteristics Possible maximum score Mean (SD) Median Range Overall quality of life 3600 2044.80 (±512.75) 2220 914-2910 Physical health 2100 1261.19 (±334.14) 1370 415-1975 Mental health 1500 283.60 (±204.50) 829 325-1200 QUALITY OF LIFE
  • 40. Characteristics Categories N Mean score SD F p r© P-value Age in years <30 30 – 39 40 – 49 ≥50 5 33 54 88 2542.00 2378.00 2222.61 1782.14 230.500 241.500 368.990 536.790 21.678 <0.001 -0.599 <0.001 Occupation Service Business Housewife Retired Day laborer 44 23 87 20 6 2337.50 2114.65 2010.36 1687.05 1322.33 320.14 488.58 518.14 468.42 306.14 11.324 <0.001 Diabetes duration (Years) <5 5 – 9 10 – 14 ≥15 63 59 33 25 2252.30 2177.92 1801.73 1528.60 383.54 401.67 528.46 534.40 20.917 <0.001 Insulin use Yes No 97 83 2168.98 1938.53 554.55 430.03 t = 3.137 0.002 Hypertension Yes No 96 84 1899.30 2211.08 498.57 479.61 t = -4.271 <0.001 Coronary heart disease Yes No 27 153 1481.28 2148.60 508.52 442.38 t = -7.163 <0.001 OVERALL QUALITY OF LIFE
  • 41. Characteristics Categories N Mean score SD F p r© P-value Age in years <30 30 – 39 40 – 49 ≥50 5 33 54 88 1588.00 1489.24 1371.67 1089.32 143.248 187.517 241.496 342.048 22.324 <0.001 -0.603 <0.001 Diabetes duration (Years) <5 5 – 9 10 – 14 ≥15 63 59 33 25 1415.24 1329.66 1097.42 927.60 267.43 258.21 347.24 315.40 21.934 <0.001 BMI Normal weight Over weight Obese 48 86 46 1414.89 1235.46 1148.91 239.12 324.01 383.08 8.604 <0.001 -0.316 <0.001 Insulin use Yes No 97 83 1348.12 1186.80 286.70 354.75 t = 3.373 0.001 Hypertension Yes No 96 84 1171.87 1363.27 314.49 328.35 t = -3.979 <0.001 Coronary heart disease Yes No 27 153 877.85 1331.80 326.05 282.74 t = -7.575 <0.001 PHYSICAL HEALTH
  • 42. Characteristics Categories N Mean score SD F p r© P-value Age in years <30 30 – 39 40 – 49 ≥50 5 33 54 88 954.00 889.67 850.94 692.83 97.301 103.460 161.773 220.554 14.536 <0.001 -0.516 <0.001 Diabetes duration (Years) <5 5 – 9 10 – 14 ≥15 63 59 33 25 837.06 848.25 707.30 601.00 145.55 182.38 215.03 232.35 14.308 <0.001 BMI Normal weight Over weight Obese 48 86 46 896.29 765.02 700.76 138.88 195.70 229.44 12.945 <0.001 -0.352 <0.001 Insulin use Yes No 97 83 820.85 751.73 174.41 223.87 t = 2.331 0.021 Hypertension Yes No 96 84 727.42 847.80 210.22 178.29 t = -4.111 <0.001 Coronary heart disease Yes No 27 153 603.42 816.79 208.78 186.15 t = -5.469 <0.001 MENTAL HEALTH
  • 43. Sleep quality Quality of life Overall Physical health Mental health r© P-value r© P-value r© P-value Overall quality of sleep -0.530 <0.001 -0.540 <0.001 -0.447 <0.001 Subjective sleep quality -0.539 <0.001 -0.535 <0.001 -0.474 <0.001 Sleep latency -0.462 <0.001 -0.472 <0.001 -0.387 <0.001 Sleep duration -0.322 <0.001 -0.329 <0.001 -0.270 <0.001 Habitual sleep efficiency -0.281 <0.001 -0.288 <0.001 -0.234 0.002 Sleep disturbance -0.180 0.015 -0.186 0.012 -0.148 0.048 Use of sleep medication -0.284 <0.001 -0.312 <0.001 -0.201 0.007 Day time dysfunction -0.529 <0.001 -0.499 <0.001 -0.511 <0.001 Sleep quality score in overall sleep quality and all domains were inversely correlated with overall quality of life, physical and mental health score. There were strong significant correlation of overall sleep quality (r= -0.530, p<0.001), subjective sleep quality(r= -0.539, p< 0.001) and day time dysfunction (r= -0.529, p<0.001) with overall quality of life. Sleep quality score in overall sleep quality and all domains were inversely correlated with overall quality of life, physical and mental health score. There were strong significant correlation of overall sleep quality (r= -0.530, p<0.001), subjective sleep quality(r= -0.539, p< 0.001) and day time dysfunction (r= -0.529, p<0.001) with overall quality of life. CORRELATION BETWEEN SLEEP QUALITY SCORE AND QUALITY OF LIFE
  • 44. Overall sleep quality was categorized into two groups good sleepers (score ≤5) and poor sleepers (score >5). Relationship between the sleep quality with the overall quality of life, physical health and mental health was significant (p>0.001). Average score in overall quality of life, physical and mental health domains were lower in poor sleeper than good sleeper. Overall sleep quality was categorized into two groups good sleepers (score ≤5) and poor sleepers (score >5). Relationship between the sleep quality with the overall quality of life, physical health and mental health was significant (p>0.001). Average score in overall quality of life, physical and mental health domains were lower in poor sleeper than good sleeper. Characteristics Sleep quality N Mean score SD t P-value Overall quality of life Poor sleeper Good sleeper 117 63 1905.48 2303.52 541.17 326.29 6.147 <0.001 Physical health Poor sleeper Good sleeper 117 63 1169.31 1431.82 351.58 213.46 6.222 <0.001 Mental health Poor sleeper Good sleeper 117 63 136.17 871.69 213.33 153.15 4.912 <0.001 OVERALL SLEEP QUALITY AND QUALITY OF LIFE
  • 45. Linear regression analysis showed that duration of diabetes explains 26.1%, 15.3% and 8.6% of the variability of physical and mental health components of SF-36 and PSQI respectively. Linear regression analysis showed that duration of diabetes explains 26.1%, 15.3% and 8.6% of the variability of physical and mental health components of SF-36 and PSQI respectively. Duration of Diabetes R R Square Adjusted R Square Std. Error of the Estimate Physical health (PCS) 0.511 0.261 0.257 288.06804 Mental health (MCS) 0.397 0.157 0.153 188.23365 Sleep quality (PSQI) 0.293 0.086 0.081 2.94011 CRRELATION BETWEEN DURATION OF DIABETES WITH PCS, MCS AND PSQI
  • 46. On the other hand, linear regression analysis also showed that sleep quality explains 29.2% and 20.0% of the variability of physical health and mental health of the health related quality of life. On the other hand, linear regression analysis also showed that sleep quality explains 29.2% and 20.0% of the variability of physical health and mental health of the health related quality of life. Sleep Quality R R Square Adjusted R Square Std. Error of the Estimate Physical health (PCS) 0.540 0.292 0.288 282.00904 Mental health (MCS) 0.447 0.200 0.196 183.40262 CORRELATION BETWEEN SLEEP QUALITY WITH PCS AND MCS
  • 47. The purpose of this study was to examine the relationship between sleep quality and health-related of life in adults with type 2 diabetes. To our knowledge, this is the first systematic investigation to find out the association between poor sleep and quality of life in T2DM in Bangladesh. For this purpose, we interviewed one eighty individuals with type 2 diabetes through a semi-structured questionnaires and check list assessing sleep quality, health-related quality of life, comorbidities. CONCLUSION
  • 48. 117 participants (65%) were poor sleepers (global PSQI >5). (Comparatively, previous studies have identified between 45% and 67% of persons with type 2 diabetes to have poor sleep quality and/or difficulty initiating or maintaining sleep.) Poor sleeper had significantly poorer SF-36 PCS and MCS and poorer functioning on each of the 8 domains of the SF-36 (all p<0.001). Poor sleeper tended to be aged, to be female, and to have more comorbidities. CONCLUSION
  • 49. Overall quality of life is better in females than male but they are mentally compromised. Both sleep quality and quality of life were better in married persons than others. HRQOL was associated with age, years since diabetes diagnosis, number of comorbidities, number of diabetic complications, insulin use. On an average, the respondents who were suffering from diabetes ≥15 years had lower score in overall quality of life, physical and mental health. Overall quality of life was highest in younger (15-29 years) and lowest in elderly subjects (over 50 years). Life quality decreased with increasing age. CONCLUSION
  • 50. These results suggest that poor sleep is common among persons with type 2 diabetes and that poor sleep quality is associated with HRQOL and diabetes-related quality of life, in particular satisfaction with and impact of treatment. This study suggested that adequate sleep quality and quantity should be considered a fundamental component of a healthy lifestyle, like weight control and physical activity. CONCLUSION
  • 51. Ensure sleep hygiene strategies as part of diabetes management. Ensure control blood sugar level with appropriate treatment for every type 2 diabetes patients. Strategies should be designed to early diagnosis of diabetes and aggressive management of blood pressure, hyperlipidaemia and albuminuria should be ensured. A comprehensive nationwide study about sleep quality and quality of life of type 2 diabetes patients should be conducted. RECOMMENDATION
  • 52. My Supervisor All respected faculties of MPH, AIUB All my wonderful batch-mates of MPH NHN, MIRPUR ICDDR,B My lovely family & Finally, American International University- Bangladesh (AIUB) ACKNOWLEDGEMENT

Editor's Notes

  1. DM is one of the most common NCD globally. Epidemiological evidances suggest that the incidence of type 2 diabetes is increasing world wide. This constitutes about 85-95% of all diabetes.
  2. Figure shows that, in 2009-2010, nearly two-fifths (39.1%) of Canadians aged 20 years and older who reported having diabetes rated their health as &amp;quot;fair&amp;quot; or &amp;quot;poor&amp;quot;, compared to a tenth of the adult population without diabetes (10.3%). Adults aged 30 to 39 years with diabetes were six times more likely to rate their health as &amp;quot;fair&amp;quot; or &amp;quot;poor&amp;quot; than individuals of the same age without diabetes. In the oldest age groups, individuals with diabetes were about twice as likely to self-report their health as &amp;quot;fair&amp;quot; or &amp;quot;poor&amp;quot;. Source: Public Health Agency of Canada (2011); using 2009-2010 data from the Canadian Community Health Survey (Statistics Canada).
  3. HRQOL is an important outcome for persons with type 2 diabetes, as it has been used to evaluate the impact of the disease and its treatment on individuals and health care costs. Thus quality of life issues are crucially importrant because they may powerfully predict and individual’s capacity to manage his/her disease and maintain long term health and well-being. On the other hand, Some studies show that poor sleep is prevalent in T2DM and inversely associated with quality of life. “Sleep quality” is an important clinical consideration for two major reasons. First, complaints about sleep quality are common; epidemiological surveys indicate that 15-35% of the adult population complains of frequent sleep quality disturbance, such as difficulty falling asleep or difficulty maintaining sleep. Second, poor sleep quality can be an important symptom of many sleep and medical disorders. One frequently measured component of sleep quality, sleep duration, may even have a direct association with mortality.
  4. However, these studies were carried out in Europe, the USA and Japan. They therefore do not represent populations across the globe, particularly those from the Indian subcontinent (where type 2 diabetes is highly prevalent) or Africa. It is also not clear whether the results are applicable to the Bangladeshi population. There is increasing evidence that the epidemiology of type 2 diabetes varies with ethnicity. These findings emphasize of screening new patients for sleep problems, making a suggesting sleep hygiene strategies as part of diabetes management.
  5. However, these studies were carried out in Europe, the USA and Japan. They therefore do not represent populations across the globe, particularly those from the Indian subcontinent (where type 2 diabetes is highly prevalent) or Africa. It is also not clear whether the results are applicable to the Bangladeshi population. There is increasing evidence that the epidemiology of type 2 diabetes varies with ethnicity. These findings emphasize of screening new patients for sleep problems, making a suggesting sleep hygiene strategies as part of diabetes management.
  6. Outpatient department of National Health Care Network, plot no-27, main road-1, sector-6, Mirpur, Dhaka-1216 was selected as the study place for the cases. This center is a branch of BIRDEM (Bangladesh Institute of Research and Rehabilitation for Diabetes, Endocrine and Metabolic Disorder) Hospital. The Diabetic Association of Bangladesh was established on February, 1956 in Dhaka at the initiative of late national Professor Dr. M Ibrahim (1911-1989). The institute has the largest diabetic out-patient turnover in the country under a single roof. Mirpur National Health Care network is one of them. This center provides almost all the facilities for diabetic patients. There are indoor and outdoor unit according to specialty for their treatment. In outdoor about 250-300 patients come each day of which near 150-200 are diabetic patient. This center provides all the diagnostic and treatment facility.
  7. This chapter shows the findings of data. Findings are divided into-   1. Socio-demographic characteristics of patients 2. Sleep quality of type 2 diabetic patients 3. Quality of life of type 2 diabetic patients Relationship between sleep quality and quality of life Highest proportion of the respondent (48.9%) was in ≥ 50 years age group followed by 40 – 49 years age group (30%). Mean (SD) age of the respondents were 48.31 (±9.02) years.
  8. Monthly family income of the respondents was ranging from 6000 to 270000 taka. Higher proportion of the respondents (34.4%) had family income &amp;lt;20000 taka. Mean ± SD of monthly family income was 41650.00 ± 36351.09 taka. The distribution of number of family members of respondents showed majority (67.2%) had &amp;lt;5 members in their family and 7.8% had more than 8 members in their family. Average family size was 5.1. Most of them (53.3%) didn’t have their own house and rest lived in their own houses. It was found that highest number of respondents (86.1%) were living in pacca building. Among the total respondents 85% were from urban areas and 15% from rural areas.
  9. Sleep quality of type 2 diabetic patients were assessed using The Pittsburgh Sleep Quality Index. The overall score and score of seven different domains are presented in this table. Mean (SD) of overall sleep quality score was 7.28 (±3.06) and it was ranging from 3 to 15.
  10. Subjective sleep quality had significant relationship with age (p&amp;lt;0.001), marital status (p&amp;lt;0.05), glycemic control level (p&amp;lt;0.001), hypertension (p&amp;lt;0.05) and coronary heart disease (p&amp;lt;0.001).
  11. Significant relationship also found in sleep latency with age (p&amp;lt;0.001), duration of diabetes (p&amp;lt;0.05), diabetes complications (p&amp;lt;0.001) and hypertension (p&amp;lt;0.05).
  12. Sleep quality score was categorized into two groups: good sleepers (PSQI ≤5) and poor sleepers (PSQI &amp;gt;5). χ2 test was done with socio-demographic characteristics and sleep quality. Test revealed that there were no significant relationship between gender of the respondents and sleep quality (p=0.105) but males (73.0%) were more commonly poor sleeper than females (60.7%). Marital status of the respondents had significant relationship with sleep quality (p=0.022). Married respondents were more commonly good sleeper (39.2%) than others (18.9%).
  13. χ2 test was done to see the sleep quality of study sample in relation to diabetes profile. Test showed that use of oral hypoglycemic agent had just significant relationship (p=0.049) with sleep quality. The respondents who used oral hypoglycemic agent were two times more likely to be better sleeper than those who didn’t use the drugs{OR with CI=2.00(1.004 – 3.984)}. The respondents without any complications were two times more likely to be good sleepers than those who had complications. Test revealed that the respondents who didn’t have coronary heart disease were more likely three times better sleeper than the respondents who had coronary heart disease{OR with CI =3.806(1.257 – 11.523)}.  
  14. Health related quality of life in type 2 diabetes patients were assessed using a scale SF-36v2TM. The overall score and scores in two domains of physical and mental health are presented in table. Mean (SD) score of overall quality of life was 2044.80 (±512.75) and it was ranging from 914 – 2910.
  15. Overall quality of life had significant relationship with age of the respondents (p&amp;lt;0.001), occupation (p&amp;lt;0.001), duration of diabetes (p&amp;lt;0.001), insulin use (p&amp;lt;0.05), hypertension (p&amp;lt;0.001) and coronary heart disease (p&amp;lt;0.001).
  16. Physical health had significant relationship with age (p&amp;lt;0.001), duration of diabetes (p&amp;lt;0.001), BMI (p&amp;lt;0.001), insulin use (p&amp;lt;0.05), hypertension (p&amp;lt;0.001), and coronary heart disease (p&amp;lt;0.001).
  17. Mental health had significant relationship with age (p&amp;lt;0.001), duration of diabetes (p&amp;lt;0.001), BMI (p&amp;lt;0.001), insulin use (p&amp;lt;0.05), Hypertension (p&amp;lt;0.001) and Coronary heart disease (p&amp;lt;0.001).
  18. Test reveal that no significant relationship between gender of the respondents with sleep quality (p=0.105) but in quality of life females obtained higher score in overall quality of life and physical health and males obtained higher score in mental health, which indicates overall quality of life is better in females than male but they are mentally compromised. Both sleep quality and quality of life were better in married persons than others.
  19. Test reveal that no significant relationship between gender of the respondents with sleep quality (p=0.105) but in quality of life females obtained higher score in overall quality of life and physical health and males obtained higher score in mental health, which indicates overall quality of life is better in females than male but they are mentally compromised. Both sleep quality and quality of life were better in married persons than others.