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International Journal of Trend in Scientific Research and Development (IJTSRD)
Volume 7 Issue 5, September-October 2023 Available Online: www.ijtsrd.com e-ISSN: 2456 – 6470
@ IJTSRD | Unique Paper ID – IJTSRD59954 | Volume – 7 | Issue – 5 | Sep-Oct 2023 Page 516
A Study to Assess the Association between Body Mass Index in
Covid Severity among Patients with Covid 19 in SMCH
Karpagam. K1, Aravindhan. P2
1
M.Sc(N)., (Ph.D)., Assistant Professor, Department of Medical and Surgical Nursing,
Saveetha College of Nursing, SIMATS, Chennai, Tamil Nadu, India.
2
B.Sc(N) IV Year, Saveetha College of Nursing, SIMATS, Chennai, Tamil Nadu, India
ABSTRACT
AIM: The present study aims to assess the association between body
mass index in covid severity among patients with covid 19 in SMCH
METHODS AND MATERIALS: A descriptive research design was
used for the present study. A total 30 samples were collected using
non probability purposive sampling technique. The demographic data
and BMI, covid severity was assessed using structured questionnaire
and Covid-19 Reporting and Data system (CO-RADS SCORE)
followed by that data was gathered and analyzed. RESULTS: The
results the study revealed that there is a significant association
between the level of BMI and covid severity among covid-19 patients
at the level of p<0.01 conclusion: Thus, the present despites that
there is significant association between body mass index and covid
severity among covid -19 patients.
KEYWORDS: body mass index (BMI), covid severity
How to cite this paper: Karpagam. K |
Aravindhan. P "A Study to Assess the
Association between Body Mass Index
in Covid Severity among Patients with
Covid 19 in SMCH" Published in
International
Journal of Trend in
Scientific Research
and Development
(ijtsrd), ISSN:
2456-6470,
Volume-7 | Issue-5,
October 2023,
pp.516-519, URL:
www.ijtsrd.com/papers/ijtsrd59954.pdf
Copyright © 2023 by author (s) and
International Journal of Trend in
Scientific Research and Development
Journal. This is an
Open Access article
distributed under the
terms of the Creative Commons
Attribution License (CC BY 4.0) (http:
//creativecommons.org/licenses/by/4.0)
INTRODUCTION
The Coronavirus Disease 2019 is an infectious
disease caused by severe acute respiratory syndrome
coronavirus, has become one of the worst pandemics
in this century.[1] The World Health Organization
(WHO) announced the confirmation of COVID-19 as
a pandemic on March 11th
, 2020 [2]. As of May 26th
COVID-19 has affected over 5.5 million people
worldwide, causing more than 347,000 fatalities [3].
The clinical outcomes of COVID-19 vary in severity
from asymptomatic to lethal [4]. In addition to several
degrees of pneumonia, this infection has drastic
impact on many organs such as kidney, liver and
heart [5].
Obesity, is excessive accumulation of body fat under
adipose tissue, is generally determined by body mass
index (BMI), calculated by body weight (kg) divided
by height squared (m2
) [6].around worldwide obesity
is becoming major health problem which further ends
with complication [7] Adiposity affects adverse
health outcomes such as coronary artery disease,
cerebrovascular disease, insulin resistance,
hypertension and fatty liver disease [6]. Fat
accumulation not only affect mechanical-related
health complications, but the abundant adipose tissue
also releases many adipokines which play a role in
the inflammatory process and rises the histamine
level in the body [7]. Nonetheless, the immune
system is suppressed in obese people, especially in
vulnerable people with multiple comorbidities even
with corona pandemic [8]. A pathophysiology of
COVID-19 is an immune response dysfunction
resulting in damage to multiple organs, particularly
the lower airways.[9]
Because either obesity itself or the severity of
COVID-19 disease could prompt admission to
hospital, the association between these factors might
be spurious. A large population-based study, which
avoided the risk of collider bias, found that having a
body-mass index (BMI) of 30 kg/m2
or higher was
IJTSRD59954
International Journal of Trend in Scientific Research and Development @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID – IJTSRD59954 | Volume – 7 | Issue – 5 | Sep-Oct 2023 Page 517
associated with a slightly greater risk of death from
COVID-19 than a BMI of less than 30 kg/m2
.[10]
The purpose of the study
1. To assess the level of BMI and covid severity
2. To find the association between level of BMI and
covid severity among covid patients
MATERIAL AND METHODS
After obtaining and ethical clearance from the
institutional ethical committee of Saveetha institute of
medical and technical science and formal permission
letter obtained from the head of SMCH, present study
was conducted. For the present study quantitative
approach with descriptive research design was
adopted. The data were collected using a non
probability purposive sampling technique from 30
samples. The inclusion criteria for the study,
participants, who are available during the study
period and who are cooperative and who understand
both Tamil and English. exclusion criteria for the
study are, samples who not willing to participate in
the study. The purpose of the study was explained by
the investigator to each of the study participants and a
written informed consent was obtained from them. the
demographic and the level of BMI and covid severity
was collected from the samples using structured
questionnaire. the data were analyzed by biostatistics.
The sample characteristics were described using
frequency and percentage. Chi- square was used to
associate the level of BMI and covid severity among
covid clients.
RESULTS AND DISCUSSION
SECTION A: Descriptionofthedemographic
variables of the patients
SECTION B: To assess the BMI and covid severity
among patients
SECTION C: Association between BMI and
covid severity
SECTION A: DESCRIPTION OF THE
DEMOGRAPHIC VARIABLES OF PATIENTS
The data despite that maximum of the samples were
falling in the age group of 40-59, about 66.6% were
males, with co morbid illness of diabetes mellitus.
Maximum of the samples were on non veg diet, 50%
of them were alcoholic with family history of diabetes
mellitus
Percentage distribution of life style of covid patients
SECTION B: To assess the BMI and covid severity among patients
Table 1`: Frequency and percentage distribution of level of BMI
n = 30
Level of BMI NO %
Underweight 10 33.3
Normal 2 6.7
Overweight 5 16.6
Obesity 13 43.3
This table shows maximum of them were falling on obesity, 33.3% underweight, 6.7% normal, 16.6 overweight.
International Journal of Trend in Scientific Research and Development @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID – IJTSRD59954 | Volume – 7 | Issue – 5 | Sep-Oct 2023 Page 518
Body mass index pictorial
Table 2: Frequency and percentage distribution of level of BMI
Covid severity NO %
No 5 16.6
Low 3 10.0
In determinant 5 16.6
High 2 6.7
Very High 12 40.0
PCR+ 4 13.3
This table shows maximum of patients were falling on very high on covid severity rating
SECTION C: Association between BMI and covid severity
Table 4: association between body mass index and covid severity among covid patients
BMI
COVID SEVERITY
Very high PCR+
(95%CI) P –value (95%CI) P –value
Underweight 3.45(0.46-12.90) 0.346 2.69(0.26-15.08) 0.689
Normal Reference Reference
Overweight 4.67(0.32-13.77) 0.001 0.38(5.84-96.21) 0.001**
obese 5.43(0.23-40.88) 0.456 0.95(36.0-69.55) 0.001**
P<0.001**
This table shows that maximum of them (40%) were falling on very high covid severity
This association table despites that very high covid severity shows significant association with overweight (BMI
status) p-0.001
International Journal of Trend in Scientific Research and Development @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID – IJTSRD59954 | Volume – 7 | Issue – 5 | Sep-Oct 2023 Page 519
CONCLUSION
From the results of the present study association
between BMI and covid severity.
ACKNOWLEDGEMENT:
Authors would like to appreciate participants for their
cooperation to complete the study successfully.
Reference
[1] Center for Systems Science and Engineering
(CSSE) at Johns Hopkins University.
Coronavirus COVID-19 global cases by Johns
Hopkins CSSE. [cited 2020/5/17]; Available
from: https: //coronavirus.jhu.edu/map.html.
[2] World Health Organization. Coronavirus
disease (COVID-19) situation report-124. May
23, 2020. [cited 2020/5/26];
[3] Goyal P, Choi JJ, Pinheiro LC, Schenck EJ,
Chen R, Jabri A, et al. Clinical characteristics
of Covid-19 in New York City. N Engl J Med
2020; 382(24): 2372–2374. pmid: 32302078
[4] Wang T, Du Z, Zhu F, Cao Z, An Y, Gao Y, et
al. Comorbidities and multi-organ injuries in
the treatment of COVID-19. Lancet 2020;
395(10228): e52. pmid: 32171074
[5] Keys A, Fidanza F, Karvonen MJ, Kimura N,
Taylor HL. Indices of relative weight and
obesity. J Chron Dis 1972; 25(6): 329–43.
pmid: 4650929
[6] Ghoorah K, Campbell P, Kent A, Maznyczka
A, Kunadian. Obesity and Cardiovascular
Outcomes: A Review. Eur Heart J Acute
Cardiovasc Care 2016; 5(1): 77–85. pmid:
24526749
[7] Nimptsch K, Konigorski S, Pischon T.
Diagnosis of Obesity and Use of Obesity
Biomarkers in Science and Clinical Medicine.
Metabolism 2019; 92: 61–70. pmid: 30586573
[8] Huttunen R, Syrjänen J. Obesity and the risk
and outcome of infection. Int J Obes (Lond)
2013; 37(3): 333–340. pmid: 22546772
[9] Misumi I, Starmer J, Uchimura T, Beck MA,
Magnuson T, Whitmire JK. Obesity expands a
distinct population of T cells in adipose tissue
and increases vulnerability to infection. Cell
Rep 2019; 27: 514–524. pmid: 30970254
[10] Wong CK, Lam CW, Wu AK, Ip WK, Lee NL,
Chan IH, et al. Plasma Inflammatory Cytokines
and Chemokines in Severe Acute Respiratory
Syndrome. Clin Exp Immunol 2004; 136(1):
95–103. pmid: 15030519

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A Study to Assess the Association between Body Mass Index in Covid Severity among Patients with Covid 19 in SMCH

  • 1. International Journal of Trend in Scientific Research and Development (IJTSRD) Volume 7 Issue 5, September-October 2023 Available Online: www.ijtsrd.com e-ISSN: 2456 – 6470 @ IJTSRD | Unique Paper ID – IJTSRD59954 | Volume – 7 | Issue – 5 | Sep-Oct 2023 Page 516 A Study to Assess the Association between Body Mass Index in Covid Severity among Patients with Covid 19 in SMCH Karpagam. K1, Aravindhan. P2 1 M.Sc(N)., (Ph.D)., Assistant Professor, Department of Medical and Surgical Nursing, Saveetha College of Nursing, SIMATS, Chennai, Tamil Nadu, India. 2 B.Sc(N) IV Year, Saveetha College of Nursing, SIMATS, Chennai, Tamil Nadu, India ABSTRACT AIM: The present study aims to assess the association between body mass index in covid severity among patients with covid 19 in SMCH METHODS AND MATERIALS: A descriptive research design was used for the present study. A total 30 samples were collected using non probability purposive sampling technique. The demographic data and BMI, covid severity was assessed using structured questionnaire and Covid-19 Reporting and Data system (CO-RADS SCORE) followed by that data was gathered and analyzed. RESULTS: The results the study revealed that there is a significant association between the level of BMI and covid severity among covid-19 patients at the level of p<0.01 conclusion: Thus, the present despites that there is significant association between body mass index and covid severity among covid -19 patients. KEYWORDS: body mass index (BMI), covid severity How to cite this paper: Karpagam. K | Aravindhan. P "A Study to Assess the Association between Body Mass Index in Covid Severity among Patients with Covid 19 in SMCH" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-7 | Issue-5, October 2023, pp.516-519, URL: www.ijtsrd.com/papers/ijtsrd59954.pdf Copyright © 2023 by author (s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http: //creativecommons.org/licenses/by/4.0) INTRODUCTION The Coronavirus Disease 2019 is an infectious disease caused by severe acute respiratory syndrome coronavirus, has become one of the worst pandemics in this century.[1] The World Health Organization (WHO) announced the confirmation of COVID-19 as a pandemic on March 11th , 2020 [2]. As of May 26th COVID-19 has affected over 5.5 million people worldwide, causing more than 347,000 fatalities [3]. The clinical outcomes of COVID-19 vary in severity from asymptomatic to lethal [4]. In addition to several degrees of pneumonia, this infection has drastic impact on many organs such as kidney, liver and heart [5]. Obesity, is excessive accumulation of body fat under adipose tissue, is generally determined by body mass index (BMI), calculated by body weight (kg) divided by height squared (m2 ) [6].around worldwide obesity is becoming major health problem which further ends with complication [7] Adiposity affects adverse health outcomes such as coronary artery disease, cerebrovascular disease, insulin resistance, hypertension and fatty liver disease [6]. Fat accumulation not only affect mechanical-related health complications, but the abundant adipose tissue also releases many adipokines which play a role in the inflammatory process and rises the histamine level in the body [7]. Nonetheless, the immune system is suppressed in obese people, especially in vulnerable people with multiple comorbidities even with corona pandemic [8]. A pathophysiology of COVID-19 is an immune response dysfunction resulting in damage to multiple organs, particularly the lower airways.[9] Because either obesity itself or the severity of COVID-19 disease could prompt admission to hospital, the association between these factors might be spurious. A large population-based study, which avoided the risk of collider bias, found that having a body-mass index (BMI) of 30 kg/m2 or higher was IJTSRD59954
  • 2. International Journal of Trend in Scientific Research and Development @ www.ijtsrd.com eISSN: 2456-6470 @ IJTSRD | Unique Paper ID – IJTSRD59954 | Volume – 7 | Issue – 5 | Sep-Oct 2023 Page 517 associated with a slightly greater risk of death from COVID-19 than a BMI of less than 30 kg/m2 .[10] The purpose of the study 1. To assess the level of BMI and covid severity 2. To find the association between level of BMI and covid severity among covid patients MATERIAL AND METHODS After obtaining and ethical clearance from the institutional ethical committee of Saveetha institute of medical and technical science and formal permission letter obtained from the head of SMCH, present study was conducted. For the present study quantitative approach with descriptive research design was adopted. The data were collected using a non probability purposive sampling technique from 30 samples. The inclusion criteria for the study, participants, who are available during the study period and who are cooperative and who understand both Tamil and English. exclusion criteria for the study are, samples who not willing to participate in the study. The purpose of the study was explained by the investigator to each of the study participants and a written informed consent was obtained from them. the demographic and the level of BMI and covid severity was collected from the samples using structured questionnaire. the data were analyzed by biostatistics. The sample characteristics were described using frequency and percentage. Chi- square was used to associate the level of BMI and covid severity among covid clients. RESULTS AND DISCUSSION SECTION A: Descriptionofthedemographic variables of the patients SECTION B: To assess the BMI and covid severity among patients SECTION C: Association between BMI and covid severity SECTION A: DESCRIPTION OF THE DEMOGRAPHIC VARIABLES OF PATIENTS The data despite that maximum of the samples were falling in the age group of 40-59, about 66.6% were males, with co morbid illness of diabetes mellitus. Maximum of the samples were on non veg diet, 50% of them were alcoholic with family history of diabetes mellitus Percentage distribution of life style of covid patients SECTION B: To assess the BMI and covid severity among patients Table 1`: Frequency and percentage distribution of level of BMI n = 30 Level of BMI NO % Underweight 10 33.3 Normal 2 6.7 Overweight 5 16.6 Obesity 13 43.3 This table shows maximum of them were falling on obesity, 33.3% underweight, 6.7% normal, 16.6 overweight.
  • 3. International Journal of Trend in Scientific Research and Development @ www.ijtsrd.com eISSN: 2456-6470 @ IJTSRD | Unique Paper ID – IJTSRD59954 | Volume – 7 | Issue – 5 | Sep-Oct 2023 Page 518 Body mass index pictorial Table 2: Frequency and percentage distribution of level of BMI Covid severity NO % No 5 16.6 Low 3 10.0 In determinant 5 16.6 High 2 6.7 Very High 12 40.0 PCR+ 4 13.3 This table shows maximum of patients were falling on very high on covid severity rating SECTION C: Association between BMI and covid severity Table 4: association between body mass index and covid severity among covid patients BMI COVID SEVERITY Very high PCR+ (95%CI) P –value (95%CI) P –value Underweight 3.45(0.46-12.90) 0.346 2.69(0.26-15.08) 0.689 Normal Reference Reference Overweight 4.67(0.32-13.77) 0.001 0.38(5.84-96.21) 0.001** obese 5.43(0.23-40.88) 0.456 0.95(36.0-69.55) 0.001** P<0.001** This table shows that maximum of them (40%) were falling on very high covid severity This association table despites that very high covid severity shows significant association with overweight (BMI status) p-0.001
  • 4. International Journal of Trend in Scientific Research and Development @ www.ijtsrd.com eISSN: 2456-6470 @ IJTSRD | Unique Paper ID – IJTSRD59954 | Volume – 7 | Issue – 5 | Sep-Oct 2023 Page 519 CONCLUSION From the results of the present study association between BMI and covid severity. ACKNOWLEDGEMENT: Authors would like to appreciate participants for their cooperation to complete the study successfully. Reference [1] Center for Systems Science and Engineering (CSSE) at Johns Hopkins University. Coronavirus COVID-19 global cases by Johns Hopkins CSSE. [cited 2020/5/17]; Available from: https: //coronavirus.jhu.edu/map.html. [2] World Health Organization. Coronavirus disease (COVID-19) situation report-124. May 23, 2020. [cited 2020/5/26]; [3] Goyal P, Choi JJ, Pinheiro LC, Schenck EJ, Chen R, Jabri A, et al. Clinical characteristics of Covid-19 in New York City. N Engl J Med 2020; 382(24): 2372–2374. pmid: 32302078 [4] Wang T, Du Z, Zhu F, Cao Z, An Y, Gao Y, et al. Comorbidities and multi-organ injuries in the treatment of COVID-19. Lancet 2020; 395(10228): e52. pmid: 32171074 [5] Keys A, Fidanza F, Karvonen MJ, Kimura N, Taylor HL. Indices of relative weight and obesity. J Chron Dis 1972; 25(6): 329–43. pmid: 4650929 [6] Ghoorah K, Campbell P, Kent A, Maznyczka A, Kunadian. Obesity and Cardiovascular Outcomes: A Review. Eur Heart J Acute Cardiovasc Care 2016; 5(1): 77–85. pmid: 24526749 [7] Nimptsch K, Konigorski S, Pischon T. Diagnosis of Obesity and Use of Obesity Biomarkers in Science and Clinical Medicine. Metabolism 2019; 92: 61–70. pmid: 30586573 [8] Huttunen R, Syrjänen J. Obesity and the risk and outcome of infection. Int J Obes (Lond) 2013; 37(3): 333–340. pmid: 22546772 [9] Misumi I, Starmer J, Uchimura T, Beck MA, Magnuson T, Whitmire JK. Obesity expands a distinct population of T cells in adipose tissue and increases vulnerability to infection. Cell Rep 2019; 27: 514–524. pmid: 30970254 [10] Wong CK, Lam CW, Wu AK, Ip WK, Lee NL, Chan IH, et al. Plasma Inflammatory Cytokines and Chemokines in Severe Acute Respiratory Syndrome. Clin Exp Immunol 2004; 136(1): 95–103. pmid: 15030519