The document summarizes a study on sleep quality and quality of life in adults with type 2 diabetes in Bangladesh. It provides background on the increasing prevalence of diabetes, poorer quality of life and sleep quality in those with diabetes compared to those without. The study aims to assess sleep quality and quality of life using validated scales in 180 adults with type 2 diabetes receiving care at a hospital in Dhaka, Bangladesh. It describes the methodology used, including a cross-sectional design, convenience sampling, and data collection using questionnaires to measure sleep quality, quality of life, and participant demographics. Preliminary results on the socio-demographic characteristics of participants are also presented.
ADA EASD Management of hyperglycemia in type 2Mgfamiliar Net
Management of Hyperglycemia in Type 2 Diabetes:
A Patient-Centered Approach: Position Statement of the American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD).
Inzucchi SE, Bergenstal RM, Buse JB, et al.
Diabetes Care. 2012 Apr 19.
Continuous Glucose Monitoring and Glycemic Variability in PregnancyInsideScientific
Join Caroline Wuyts, MSc for a deep dive into her research on pregnancy and monitoring glucose availability throughout the reproductive timeline of a mouse model.
Pregnancy is a physiological challenge for the female body. Metabolic adaptations are necessary to maintain the balance between maternal and fetal growth. To gain insight in these pregnancy-induced adaptations, continuous glucose was monitored in mice via telemetric transmitters.
Caroline’s group investigated the effect of telemetry on pregnancy outcome by comparing mice with an implanted transmitter and mice that underwent a sham surgery. They developed an overview of glucose tolerance before, during and after pregnancy by performing oral glucose tolerance tests. Glycemic variability was monitored continuously using camera surveillance, and it was determined that continuous glucose monitoring is a safe method that provides insight into glycemic control during pregnancy with unprecedented detail.
Key Topics Include:
Appreciate that telemetric implants do not have an influence on pregnancy and that they understand how glycemia adapts to pregnancy in mice.
Acknowledge that continuous glucose monitoring combined with camera surveillance is a suitable method to monitor glycemic variability.
Recognize that healthy mice during a full pregnancy develop adaptations in glucose homeostasis reminiscent of those in pregnant women.
ADA EASD Management of hyperglycemia in type 2Mgfamiliar Net
Management of Hyperglycemia in Type 2 Diabetes:
A Patient-Centered Approach: Position Statement of the American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD).
Inzucchi SE, Bergenstal RM, Buse JB, et al.
Diabetes Care. 2012 Apr 19.
Continuous Glucose Monitoring and Glycemic Variability in PregnancyInsideScientific
Join Caroline Wuyts, MSc for a deep dive into her research on pregnancy and monitoring glucose availability throughout the reproductive timeline of a mouse model.
Pregnancy is a physiological challenge for the female body. Metabolic adaptations are necessary to maintain the balance between maternal and fetal growth. To gain insight in these pregnancy-induced adaptations, continuous glucose was monitored in mice via telemetric transmitters.
Caroline’s group investigated the effect of telemetry on pregnancy outcome by comparing mice with an implanted transmitter and mice that underwent a sham surgery. They developed an overview of glucose tolerance before, during and after pregnancy by performing oral glucose tolerance tests. Glycemic variability was monitored continuously using camera surveillance, and it was determined that continuous glucose monitoring is a safe method that provides insight into glycemic control during pregnancy with unprecedented detail.
Key Topics Include:
Appreciate that telemetric implants do not have an influence on pregnancy and that they understand how glycemia adapts to pregnancy in mice.
Acknowledge that continuous glucose monitoring combined with camera surveillance is a suitable method to monitor glycemic variability.
Recognize that healthy mice during a full pregnancy develop adaptations in glucose homeostasis reminiscent of those in pregnant women.
This presentation was prepared for few of my colleagues at PSI working with me on a large scale diabetes and hypertension prevention program. The intent was to give them basic understanding of evidences around the impact of few lifestyle modification strategies particularly for caloric restriction and physical activity on health and lifespan.
Type 1 Diabetes Mellitus is a form of diabetes mellitus that results from the autoimmune destruction of the insulin-producing beta cells in the pancreas. Genetic factors are believed to be a major com- ponent for the development of type 1diabetes, but the con- cordance rate for the development of diabetes in identical twins is only about 40%, suggesting that non-genetic factors play an important role in the expression of the disease. Viruses are one environmental factor that is implicated in the pathogenesis of type 1 diabetes mellitus.
Shashikiran Umakanth made this presentation at the "First Endocrine Update Program” – ENDO EGYPT 2015, from 17-20 December 2015 in the Historic City of Luxor, Egypt. This endocrine update was organised by the Egyptian Association of Endocrinology , Diabetes and Atherosclerosis (EAEDA) in collaboration with the Endocrine Society, USA.
The IOSR Journal of Pharmacy (IOSRPHR) is an open access online & offline peer reviewed international journal, which publishes innovative research papers, reviews, mini-reviews, short communications and notes dealing with Pharmaceutical Sciences( Pharmaceutical Technology, Pharmaceutics, Biopharmaceutics, Pharmacokinetics, Pharmaceutical/Medicinal Chemistry, Computational Chemistry and Molecular Drug Design, Pharmacognosy & Phytochemistry, Pharmacology, Pharmaceutical Analysis, Pharmacy Practice, Clinical and Hospital Pharmacy, Cell Biology, Genomics and Proteomics, Pharmacogenomics, Bioinformatics and Biotechnology of Pharmaceutical Interest........more details on Aim & Scope).
All manuscripts are subject to rapid peer review. Those of high quality (not previously published and not under consideration for publication in another journal) will be published without delay.
The IOSR Journal of Pharmacy (IOSRPHR) is an open access online & offline peer reviewed international journal, which publishes innovative research papers, reviews, mini-reviews, short communications and notes dealing with Pharmaceutical Sciences( Pharmaceutical Technology, Pharmaceutics, Biopharmaceutics, Pharmacokinetics, Pharmaceutical/Medicinal Chemistry, Computational Chemistry and Molecular Drug Design, Pharmacognosy & Phytochemistry, Pharmacology, Pharmaceutical Analysis, Pharmacy Practice, Clinical and Hospital Pharmacy, Cell Biology, Genomics and Proteomics, Pharmacogenomics, Bioinformatics and Biotechnology of Pharmaceutical Interest........more details on Aim & Scope).
All manuscripts are subject to rapid peer review. Those of high quality (not previously published and not under consideration for publication in another journal) will be published without delay.
152 International Journal of Nursing Education, Apr.docxShiraPrater50
152 International Journal of Nursing Education, April-June, 2015, Vol.7, No. 2
A Study to Compare the Effectiveness of Video Assisted
Teaching vs Self Instructional Module on Quality of Life
among Type 2 Diabetes
Sithara Begum
Ph.D Scholar, Saveetha University, Chennai
ABSTRACT
Diabetes is becoming the epidemic of the 21st century. Type 2 diabetes , which is more prevalent (more
than 90% of all diabetes cases) and the main driver of the diabetes epidemic, now affects 5.9% of the
world’s adult population with almost 80% of the total in developing countries .In addition to this, the
complications and associated with diabetes is also in the higher rate.
Aim: The aim of study is to compare the effectiveness of of video assisted teaching Vs Self instructional
module on quality of life among type 2 diabetes.
Methodology: The research approach adopted for the present study is an Quantitative research
approach and the design adopted was quasi experimental design. The se�ing for the study was
Crescent Hospital, Alathur. Palakkad, Kerala. The sample size of the present study was 50 used simple
random sampling technique to select samples.
Finding: The Pre-test mean Score and Standard Deviation of the type2 diabetes regarding video
assisted teaching on quality of life was 55.84 & 6.95,which increased in post test 75.76 and 6.54. pre
test mean Score and Standard Deviation of the type 2 diabetes regarding Self-instructional module on
quality of life was 54.4 and 4.203, which increased in post test 66.68 and 13.524.
Conclusion: The present study results shows that comparatively the video assisted teaching is more
effective in promoting Quality of life than Self-instructional module .
Keywords : Self instructional module(SIM) , Video assisted teaching(VAT), Effectiveness, Compare , Quality
of life(QOL), Type 2 diabetes.
INTRODUCTION
While there are many diseases, there is, in a
sense only one health. - Park
Encyclopedia, defines diabetes is the group of
metabolic diseases which a person has high sugar,
either body does not produce enough insulin or
because the body does not produce enough insulin
or because cells do not respond to the insulin that is
produce.
Kumar and Clark (2005) Diabetes Mellitus (DM)
is a syndrome of Chronic hyperglycaemia due to
relative insulin deficiency, resistance or both It affects
more than 120 million people world wide and it is
estimated that it will affect 220 million by the year
2020. Diabetes is usually irreversible and although
patients can have a reasonably normal lifestyle, its
late complications result in reduced life expectancy.1
Dr.V. Mohan and Dr. Pradeepa (2009), conducted
a Study on Epidemiology of Diabetes in Different
Regions of India. Diabetes is fast becoming the
epidemic of the 21st century. Type 2 diabetes , which is
more prevalent (more than 90% of all diabetes cases),
now affects 5.9% of the world’s ...
152 International Journal of Nursing Education, Apr.docxgertrudebellgrove
152 International Journal of Nursing Education, April-June, 2015, Vol.7, No. 2
A Study to Compare the Effectiveness of Video Assisted
Teaching vs Self Instructional Module on Quality of Life
among Type 2 Diabetes
Sithara Begum
Ph.D Scholar, Saveetha University, Chennai
ABSTRACT
Diabetes is becoming the epidemic of the 21st century. Type 2 diabetes , which is more prevalent (more
than 90% of all diabetes cases) and the main driver of the diabetes epidemic, now affects 5.9% of the
world’s adult population with almost 80% of the total in developing countries .In addition to this, the
complications and associated with diabetes is also in the higher rate.
Aim: The aim of study is to compare the effectiveness of of video assisted teaching Vs Self instructional
module on quality of life among type 2 diabetes.
Methodology: The research approach adopted for the present study is an Quantitative research
approach and the design adopted was quasi experimental design. The se�ing for the study was
Crescent Hospital, Alathur. Palakkad, Kerala. The sample size of the present study was 50 used simple
random sampling technique to select samples.
Finding: The Pre-test mean Score and Standard Deviation of the type2 diabetes regarding video
assisted teaching on quality of life was 55.84 & 6.95,which increased in post test 75.76 and 6.54. pre
test mean Score and Standard Deviation of the type 2 diabetes regarding Self-instructional module on
quality of life was 54.4 and 4.203, which increased in post test 66.68 and 13.524.
Conclusion: The present study results shows that comparatively the video assisted teaching is more
effective in promoting Quality of life than Self-instructional module .
Keywords : Self instructional module(SIM) , Video assisted teaching(VAT), Effectiveness, Compare , Quality
of life(QOL), Type 2 diabetes.
INTRODUCTION
While there are many diseases, there is, in a
sense only one health. - Park
Encyclopedia, defines diabetes is the group of
metabolic diseases which a person has high sugar,
either body does not produce enough insulin or
because the body does not produce enough insulin
or because cells do not respond to the insulin that is
produce.
Kumar and Clark (2005) Diabetes Mellitus (DM)
is a syndrome of Chronic hyperglycaemia due to
relative insulin deficiency, resistance or both It affects
more than 120 million people world wide and it is
estimated that it will affect 220 million by the year
2020. Diabetes is usually irreversible and although
patients can have a reasonably normal lifestyle, its
late complications result in reduced life expectancy.1
Dr.V. Mohan and Dr. Pradeepa (2009), conducted
a Study on Epidemiology of Diabetes in Different
Regions of India. Diabetes is fast becoming the
epidemic of the 21st century. Type 2 diabetes , which is
more prevalent (more than 90% of all diabetes cases),
now affects 5.9% of the world’s .
RunningHead: PICOT Question 1
RunningHead: PICOT Question 7
PICOT Question
Avery Bryan
NRS-433V
Professor Christine Vannelli
May 19, 2019
Clinical Problem
A report from the Center for Disease Control and Prevention in 2015 revealed that (9.4%) 30.3 million Americans are diabetic and 84.1 million have prediabetes. This is a total population of over 100 million is at risk of developing type 2 diabetes which is a growing health problem being the seventh leading cause of death in the U.S. An estimated 1.5 million new cases were among 18-year old bracket and the rates of diagnosed diabetes increased proportionally to age. Below 44 years accounted for 4%, below 64 years at 17 % and 25% for those above 65 years across both genders. One-third of adults in America has prediabetes but sadly, they are unaware despite reports released by The National Diabetes Statistics Report every year. These reports elaborate on prevalence and incidence, prediabetes, long-term complications, risk factors, mortality, and cost. Diabetes poses the risk of serious complications like death, blindness, stroke, kidney disorders, cardiac diseases and health problems that lead to amputation of legs. However, the risks can be mitigated through physical body activities, proper dieting and prescribed use of insulin and other related measures to control the blood sugar levels. Diabetes Prevention Program was funded by NIH to research a yearly evidence-based program to improve healthy weight loss through diet and physical activities. There also efforts to determine the effectiveness of public service campaigns in improving the real-life experience in the diagnosis and treatment of diabetes.
PICOT Question.
The population affected by diabetes cuts across all ages, gender, race, and ethnicity. The prevalence is significantly high from 18 years and it increases with age to about 25% above 65 years. In terms of gender, men are at higher risk accounting for 37% while women are at 30% across races and educational levels. On races, the rates were higher among Indians/Alaska natives at 15%, non-Hispanic blacks at 12.7% and Hispanics at 12%. Among Asians, the rates were lower at 8% and 7.4% for non-Hispanic whites.
Intervention indicator for diabetes shows that individuals who do not observe a healthy diet are more exposed to the disease. Some risk behaviors include lack of exercise and excessive intake of junk foods that lead to obesity and increased blood sugar levels. Diabetes prevalence varied according to education levels were those with less than high school education at 12.6% and 7.2% for those higher than high school education.
Comparison and use of a control group from the popularity of Complementary and Alternative Medicine and Traditional Chinese Medicine showed distinct knowledge of diabetes, blood sugar control, and self-care. The experimental group received education through interactive multimedia for three months while the control group received.
International Journal of Pharmaceutical Science Invention (IJPSI) is an international journal intended for professionals and researchers in all fields of Pahrmaceutical Science. IJPSI publishes research articles and reviews within the whole field Pharmacy and Pharmaceutical Science, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
This presentation was prepared for few of my colleagues at PSI working with me on a large scale diabetes and hypertension prevention program. The intent was to give them basic understanding of evidences around the impact of few lifestyle modification strategies particularly for caloric restriction and physical activity on health and lifespan.
Type 1 Diabetes Mellitus is a form of diabetes mellitus that results from the autoimmune destruction of the insulin-producing beta cells in the pancreas. Genetic factors are believed to be a major com- ponent for the development of type 1diabetes, but the con- cordance rate for the development of diabetes in identical twins is only about 40%, suggesting that non-genetic factors play an important role in the expression of the disease. Viruses are one environmental factor that is implicated in the pathogenesis of type 1 diabetes mellitus.
Shashikiran Umakanth made this presentation at the "First Endocrine Update Program” – ENDO EGYPT 2015, from 17-20 December 2015 in the Historic City of Luxor, Egypt. This endocrine update was organised by the Egyptian Association of Endocrinology , Diabetes and Atherosclerosis (EAEDA) in collaboration with the Endocrine Society, USA.
The IOSR Journal of Pharmacy (IOSRPHR) is an open access online & offline peer reviewed international journal, which publishes innovative research papers, reviews, mini-reviews, short communications and notes dealing with Pharmaceutical Sciences( Pharmaceutical Technology, Pharmaceutics, Biopharmaceutics, Pharmacokinetics, Pharmaceutical/Medicinal Chemistry, Computational Chemistry and Molecular Drug Design, Pharmacognosy & Phytochemistry, Pharmacology, Pharmaceutical Analysis, Pharmacy Practice, Clinical and Hospital Pharmacy, Cell Biology, Genomics and Proteomics, Pharmacogenomics, Bioinformatics and Biotechnology of Pharmaceutical Interest........more details on Aim & Scope).
All manuscripts are subject to rapid peer review. Those of high quality (not previously published and not under consideration for publication in another journal) will be published without delay.
The IOSR Journal of Pharmacy (IOSRPHR) is an open access online & offline peer reviewed international journal, which publishes innovative research papers, reviews, mini-reviews, short communications and notes dealing with Pharmaceutical Sciences( Pharmaceutical Technology, Pharmaceutics, Biopharmaceutics, Pharmacokinetics, Pharmaceutical/Medicinal Chemistry, Computational Chemistry and Molecular Drug Design, Pharmacognosy & Phytochemistry, Pharmacology, Pharmaceutical Analysis, Pharmacy Practice, Clinical and Hospital Pharmacy, Cell Biology, Genomics and Proteomics, Pharmacogenomics, Bioinformatics and Biotechnology of Pharmaceutical Interest........more details on Aim & Scope).
All manuscripts are subject to rapid peer review. Those of high quality (not previously published and not under consideration for publication in another journal) will be published without delay.
152 International Journal of Nursing Education, Apr.docxShiraPrater50
152 International Journal of Nursing Education, April-June, 2015, Vol.7, No. 2
A Study to Compare the Effectiveness of Video Assisted
Teaching vs Self Instructional Module on Quality of Life
among Type 2 Diabetes
Sithara Begum
Ph.D Scholar, Saveetha University, Chennai
ABSTRACT
Diabetes is becoming the epidemic of the 21st century. Type 2 diabetes , which is more prevalent (more
than 90% of all diabetes cases) and the main driver of the diabetes epidemic, now affects 5.9% of the
world’s adult population with almost 80% of the total in developing countries .In addition to this, the
complications and associated with diabetes is also in the higher rate.
Aim: The aim of study is to compare the effectiveness of of video assisted teaching Vs Self instructional
module on quality of life among type 2 diabetes.
Methodology: The research approach adopted for the present study is an Quantitative research
approach and the design adopted was quasi experimental design. The se�ing for the study was
Crescent Hospital, Alathur. Palakkad, Kerala. The sample size of the present study was 50 used simple
random sampling technique to select samples.
Finding: The Pre-test mean Score and Standard Deviation of the type2 diabetes regarding video
assisted teaching on quality of life was 55.84 & 6.95,which increased in post test 75.76 and 6.54. pre
test mean Score and Standard Deviation of the type 2 diabetes regarding Self-instructional module on
quality of life was 54.4 and 4.203, which increased in post test 66.68 and 13.524.
Conclusion: The present study results shows that comparatively the video assisted teaching is more
effective in promoting Quality of life than Self-instructional module .
Keywords : Self instructional module(SIM) , Video assisted teaching(VAT), Effectiveness, Compare , Quality
of life(QOL), Type 2 diabetes.
INTRODUCTION
While there are many diseases, there is, in a
sense only one health. - Park
Encyclopedia, defines diabetes is the group of
metabolic diseases which a person has high sugar,
either body does not produce enough insulin or
because the body does not produce enough insulin
or because cells do not respond to the insulin that is
produce.
Kumar and Clark (2005) Diabetes Mellitus (DM)
is a syndrome of Chronic hyperglycaemia due to
relative insulin deficiency, resistance or both It affects
more than 120 million people world wide and it is
estimated that it will affect 220 million by the year
2020. Diabetes is usually irreversible and although
patients can have a reasonably normal lifestyle, its
late complications result in reduced life expectancy.1
Dr.V. Mohan and Dr. Pradeepa (2009), conducted
a Study on Epidemiology of Diabetes in Different
Regions of India. Diabetes is fast becoming the
epidemic of the 21st century. Type 2 diabetes , which is
more prevalent (more than 90% of all diabetes cases),
now affects 5.9% of the world’s ...
152 International Journal of Nursing Education, Apr.docxgertrudebellgrove
152 International Journal of Nursing Education, April-June, 2015, Vol.7, No. 2
A Study to Compare the Effectiveness of Video Assisted
Teaching vs Self Instructional Module on Quality of Life
among Type 2 Diabetes
Sithara Begum
Ph.D Scholar, Saveetha University, Chennai
ABSTRACT
Diabetes is becoming the epidemic of the 21st century. Type 2 diabetes , which is more prevalent (more
than 90% of all diabetes cases) and the main driver of the diabetes epidemic, now affects 5.9% of the
world’s adult population with almost 80% of the total in developing countries .In addition to this, the
complications and associated with diabetes is also in the higher rate.
Aim: The aim of study is to compare the effectiveness of of video assisted teaching Vs Self instructional
module on quality of life among type 2 diabetes.
Methodology: The research approach adopted for the present study is an Quantitative research
approach and the design adopted was quasi experimental design. The se�ing for the study was
Crescent Hospital, Alathur. Palakkad, Kerala. The sample size of the present study was 50 used simple
random sampling technique to select samples.
Finding: The Pre-test mean Score and Standard Deviation of the type2 diabetes regarding video
assisted teaching on quality of life was 55.84 & 6.95,which increased in post test 75.76 and 6.54. pre
test mean Score and Standard Deviation of the type 2 diabetes regarding Self-instructional module on
quality of life was 54.4 and 4.203, which increased in post test 66.68 and 13.524.
Conclusion: The present study results shows that comparatively the video assisted teaching is more
effective in promoting Quality of life than Self-instructional module .
Keywords : Self instructional module(SIM) , Video assisted teaching(VAT), Effectiveness, Compare , Quality
of life(QOL), Type 2 diabetes.
INTRODUCTION
While there are many diseases, there is, in a
sense only one health. - Park
Encyclopedia, defines diabetes is the group of
metabolic diseases which a person has high sugar,
either body does not produce enough insulin or
because the body does not produce enough insulin
or because cells do not respond to the insulin that is
produce.
Kumar and Clark (2005) Diabetes Mellitus (DM)
is a syndrome of Chronic hyperglycaemia due to
relative insulin deficiency, resistance or both It affects
more than 120 million people world wide and it is
estimated that it will affect 220 million by the year
2020. Diabetes is usually irreversible and although
patients can have a reasonably normal lifestyle, its
late complications result in reduced life expectancy.1
Dr.V. Mohan and Dr. Pradeepa (2009), conducted
a Study on Epidemiology of Diabetes in Different
Regions of India. Diabetes is fast becoming the
epidemic of the 21st century. Type 2 diabetes , which is
more prevalent (more than 90% of all diabetes cases),
now affects 5.9% of the world’s .
RunningHead: PICOT Question 1
RunningHead: PICOT Question 7
PICOT Question
Avery Bryan
NRS-433V
Professor Christine Vannelli
May 19, 2019
Clinical Problem
A report from the Center for Disease Control and Prevention in 2015 revealed that (9.4%) 30.3 million Americans are diabetic and 84.1 million have prediabetes. This is a total population of over 100 million is at risk of developing type 2 diabetes which is a growing health problem being the seventh leading cause of death in the U.S. An estimated 1.5 million new cases were among 18-year old bracket and the rates of diagnosed diabetes increased proportionally to age. Below 44 years accounted for 4%, below 64 years at 17 % and 25% for those above 65 years across both genders. One-third of adults in America has prediabetes but sadly, they are unaware despite reports released by The National Diabetes Statistics Report every year. These reports elaborate on prevalence and incidence, prediabetes, long-term complications, risk factors, mortality, and cost. Diabetes poses the risk of serious complications like death, blindness, stroke, kidney disorders, cardiac diseases and health problems that lead to amputation of legs. However, the risks can be mitigated through physical body activities, proper dieting and prescribed use of insulin and other related measures to control the blood sugar levels. Diabetes Prevention Program was funded by NIH to research a yearly evidence-based program to improve healthy weight loss through diet and physical activities. There also efforts to determine the effectiveness of public service campaigns in improving the real-life experience in the diagnosis and treatment of diabetes.
PICOT Question.
The population affected by diabetes cuts across all ages, gender, race, and ethnicity. The prevalence is significantly high from 18 years and it increases with age to about 25% above 65 years. In terms of gender, men are at higher risk accounting for 37% while women are at 30% across races and educational levels. On races, the rates were higher among Indians/Alaska natives at 15%, non-Hispanic blacks at 12.7% and Hispanics at 12%. Among Asians, the rates were lower at 8% and 7.4% for non-Hispanic whites.
Intervention indicator for diabetes shows that individuals who do not observe a healthy diet are more exposed to the disease. Some risk behaviors include lack of exercise and excessive intake of junk foods that lead to obesity and increased blood sugar levels. Diabetes prevalence varied according to education levels were those with less than high school education at 12.6% and 7.2% for those higher than high school education.
Comparison and use of a control group from the popularity of Complementary and Alternative Medicine and Traditional Chinese Medicine showed distinct knowledge of diabetes, blood sugar control, and self-care. The experimental group received education through interactive multimedia for three months while the control group received.
International Journal of Pharmaceutical Science Invention (IJPSI) is an international journal intended for professionals and researchers in all fields of Pahrmaceutical Science. IJPSI publishes research articles and reviews within the whole field Pharmacy and Pharmaceutical Science, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
A Study to Assess the Effectiveness of Text Message Intervention on Preventio...ijtsrd
Background Obesity is perhaps the most prevalent form of malnutrition. As a chronic disease, prevalent in both developed and developing countries, and affecting the children as well as adults, it is now so common that is replacing the more traditional public health concerns including malnutrition. It is one of the most significant contributors to ill health. For industrialized countries, it has been suggested that such increase in body weight have been caused primarily by reduced levels of physical activity, rather than by changes in food intake or by other factors. Methods A quantitative experimental research was conducted among 60 obese adults. Clients meeting these inclusion criteria were divided into two groups of 30 members in each group. Out of 60 sample, 30 sample in experimental group and 30 sample in control group. A purposive sampling technique was used to select the samples. The purpose of the study was explained to the samples and written informed consent was obtained from them. The demographic graphic variables and clinical variables were collected by multiple choice questionnaire. Body Mass Index BMI for Pre test assessment was assessed in the 1st day of data collection both in the experimental group and control group. The Body Mass Index BMI level was assessed by measuring as the weight in kilograms divided by the square of the height in metres kg m2 . The text message intervention with motivational messages, exercise, foods to be taken and foods to be avoided was sent to the experimental group twice daily, for 14 days. The control group followed regular routine. The post test was conducted in control group and experimental group on the 14th day after text message intervention. Collected data were analysed by descriptive and inferential statistics. Result The result in the post test between the experimental and control group was found to be statistically significant at p 0.001 level, this clearly infers that text message intervention for prevention and management of obesity among adolescents in the experimental group was found to be effective than the adolescents with obesity in control group who follow regular activities and lifestyle habits. Beautily. V | Thilagavathi N | Astheetha S "A Study to Assess the Effectiveness of Text Message Intervention on Prevention and Management of Obesity among Adolescents" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-7 , December 2022, URL: https://www.ijtsrd.com/papers/ijtsrd52567.pdf Paper URL: https://www.ijtsrd.com/medicine/other/52567/a-study-to-assess-the-effectiveness-of-text-message-intervention-on-prevention-and-management-of-obesity-among-adolescents/beautily-v
A Healthy Lifestyle Persuasive Application for Patients with Type-2 DiabetesSERAG M IMHEMED
The development, adoption and appropriation of M-health applications that transform and boost patient self management have been promising but the outcomes varied and largely a theoretical. M-health applications targeting diabetics have not only been inapplicable and inappropriate to people’s cultures, context and experiences but based on principles of prescription rather than persuasion. In this paper, we seek to fill this gap by developing and evaluating the effectiveness of a pro-diet M-health system for diabetes patients. Study participants will use the M-health application for a 6 month period in an attempt to gain awareness about their diabetes, cultivate self-care skills and improve their healthy eating habits. Drawing upon the persuasive technology theory and upon the pro-change trans-theoretical behavior model, we examine the appropriation of M-health diabetes application for self-management practice related to healthy eating and examine the biomedical outcomes resulting from healthy eating behavior.
Health Seeking Behaviors following Diabetes Mellitus of Various Ethnic Groups...ijtsrd
The research on Health Seeking Behaviours following Diabetes Mellitus DM of various ethnic groups was conducted because different patients within a given ethnic group or cultural group have different options regarding actions to seek health care services. The purpose of this study was to determine the Health Seeking Behaviours HSB following DM patients from various ethnic groups and the roles of the Health Psychologists HP on the DM patients in Nkwen Health District of Bamenda III Subdivision within Mezam Division of the North West Region of Cameroon. A descriptive survey research design was conducted among 230 sampled DM patients from various ethnic groups in Nkwen Health District. A non probability purposive sampling technique was used to set the population under study. The data was collected using both Focus Groups Discussions FGDs and questionnaire for a period of two months during the period that the DM patients came to Nkwen Health District either to consult or to refill their drugs. The questionnaire were administered to 230 DM patients from the various ethnic groups which were Bali, Bafut, Banso, Bamendankwe, Babanki, Santa, Nkwen and Ndu during this period as well.. The data collected was analysed using both descriptive and inferential statistics with SPSS software tool version 20.0, following the objectives of the study. For HSB, 38.3 agreed that they sought health care from traditional medicine whereas 26.1 remained neutral on traditional medicine. On the other hand, 37.7 disagreed that they used traditional medicine. Cultural believes and distance deterred HSB which were statistically significant with P = 0.001 and P= 0.001 respectively. The options taken to seek health care from the hospital were influenced by family relatives with P=0.001. Therefore, HSB was found to be statistically significant for the first traditional medicine and second line hospital among the different ethnic groups with P = 0.001 and 0.001 respectively. These results showed that poor HSB following DM among the different ethnic groups was statistically significant in Nkwen Health District. Foncham Paul Babila "Health-Seeking Behaviors following Diabetes Mellitus of Various Ethnic Groups in Nkwen Health District of Bamenda III Subdivision, Mezam Division, North West Region of Cameroon" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-5 , August 2022, URL: https://www.ijtsrd.com/papers/ijtsrd51783.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/psychology/51783/healthseeking-behaviors-following-diabetes-mellitus-of-various-ethnic-groups-in-nkwen-health-district-of-bamenda-iii-subdivision-mezam-division-north-west-region-of-cameroon/foncham-paul-babila
The IOSR Journal of Pharmacy (IOSRPHR) is an open access online & offline peer reviewed international journal, which publishes innovative research papers, reviews, mini-reviews, short communications and notes dealing with Pharmaceutical Sciences( Pharmaceutical Technology, Pharmaceutics, Biopharmaceutics, Pharmacokinetics, Pharmaceutical/Medicinal Chemistry, Computational Chemistry and Molecular Drug Design, Pharmacognosy & Phytochemistry, Pharmacology, Pharmaceutical Analysis, Pharmacy Practice, Clinical and Hospital Pharmacy, Cell Biology, Genomics and Proteomics, Pharmacogenomics, Bioinformatics and Biotechnology of Pharmaceutical Interest........more details on Aim & Scope).
All manuscripts are subject to rapid peer review. Those of high quality (not previously published and not under consideration for publication in another journal) will be published without delay.
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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)
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
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
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
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
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
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.
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 &quot;fair&quot; or &quot;poor&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 &quot;fair&quot; or &quot;poor&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 &quot;fair&quot; or &quot;poor&quot;.
Source: Public Health Agency of Canada (2011); using 2009-2010 data from the Canadian Community Health Survey (Statistics Canada).
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.
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.
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.
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.
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.
Monthly family income of the respondents was ranging from 6000 to 270000 taka. Higher proportion of the respondents (34.4%) had family income &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 &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.
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.
Subjective sleep quality had significant relationship with age (p&lt;0.001), marital status (p&lt;0.05), glycemic control level (p&lt;0.001), hypertension (p&lt;0.05) and coronary heart disease (p&lt;0.001).
Significant relationship also found in sleep latency with age (p&lt;0.001), duration of diabetes (p&lt;0.05), diabetes complications (p&lt;0.001) and hypertension (p&lt;0.05).
Sleep quality score was categorized into two groups: good sleepers (PSQI ≤5) and poor sleepers (PSQI &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%).
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)}.
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.
Overall quality of life had significant relationship with age of the respondents (p&lt;0.001), occupation (p&lt;0.001), duration of diabetes (p&lt;0.001), insulin use (p&lt;0.05), hypertension (p&lt;0.001) and coronary heart disease (p&lt;0.001).
Physical health had significant relationship with age (p&lt;0.001), duration of diabetes (p&lt;0.001), BMI (p&lt;0.001), insulin use (p&lt;0.05), hypertension (p&lt;0.001), and coronary heart disease (p&lt;0.001).
Mental health had significant relationship with age (p&lt;0.001), duration of diabetes (p&lt;0.001), BMI (p&lt;0.001), insulin use (p&lt;0.05), Hypertension (p&lt;0.001) and Coronary heart disease (p&lt;0.001).
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.
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.