Prevalence of undiagnosed metabolic syndrome using three different definitions and identifying associated risk factors among apparently healthy adults in Karachi, Pakistan: a cross-sectional survey in the year 2022

Syed Omair Adil; Kamarul Imran Musa; Fareed Uddin; Asima Khan; Irfanullah Khan; Areebah Shakeel; Kashif Shafique; Md Asiful Islam

doi:10.1186/s13690-024-01250-3

Prevalence of undiagnosed metabolic syndrome using three different definitions and identifying associated risk factors among apparently healthy adults in Karachi, Pakistan: a cross-sectional survey in the year 2022

Syed Omair Adil^*
, Kamarul Imran Musa
, Fareed Uddin
, Asima Khan
, Irfanullah Khan
, Areebah Shakeel
, Kashif Shafique
, Md Asiful Islam^*

^*Corresponding author for this work

Metabolism and Systems Science

Research output: Contribution to journal › Article › peer-review

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Abstract

Objective: To determine the prevalence and associated risk factors of undiagnosed metabolic syndrome (MetS) using three different definitions among apparently healthy adults of Karachi, Pakistan.

Methods: This community-based cross-sectional survey was conducted in Karachi, Pakistan, from January 2022 to August 2022. A total of 1065 healthy individuals aged 25–80 years of any gender were consecutively included. MetS was assessed using the National Cholesterol Education Program for Adult Treatment Panel (NCEP-ATP) III guidelines, International Diabetes Federation (IDF), and modified NCEP-ATP III.

Results: The prevalence of MetS was highest with the modified NCEP-ATP III definition at 33.9% (95% CI: 31–36), followed by the IDF definition at 32.2% (95% CI: 29–35). In contrast, the prevalence was lower at 22.4% (95% CI: 19–25) when using the NCEP ATP III definition. The risk of MetS significantly increases with higher BMI, as defined by the IDF criteria (adjusted OR [ORadj] 1.13, 95% CI 1.09–2.43), NCEP-ATP III criteria (ORadj 1.15, 95% CI 1.11–1.19), and modified NCEP-ATP III criteria (ORadj 1.16, 95% CI 1.12–1.20). Current smokers had significantly higher odds of MetS according to the IDF (ORadj 2.72, 95% CI 1.84–4.03), NCEP-ATP III (ORadj 3.93, 95% CI 2.55–6.06), and modified NCEP-ATP III (ORadj 0.62, 95% CI 0.43–0.88). Areca nut use was associated with higher odds of MetS according to both IDF (ORadj 1.71, 95% CI 1.19–2.47) and modified NCEP-ATP III criteria (ORadj 1.58, 95% CI 1.10–2.72). Furthermore, low physical activity had significantly higher odds of MetS according to the NCEP-ATP III (ORadj 1.36, 95% CI 1.01–1.84) and modified NCEP-ATP III criteria (ORadj 1.56, 95% CI 1.08–2.26).

Conclusion: One-third of the healthy individuals were diagnosed with MetS based on IDF, NCEP-ATP III, and modified NCEP-ATP III criteria. A higher BMI, current smoking, areca nut use, and low physical activity were significant factors.

Original language	English
Article number	22
Number of pages	11
Journal	Archives of Public Health
Volume	82
Issue number	1
DOIs	https://doi.org/10.1186/s13690-024-01250-3
Publication status	Published - 20 Feb 2024

Bibliographical note

Funding:
The study was supported by Sindh Higher Education Commission of Pakistan (Project code: 299).

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Healthy individuals
Prevalence
Karachi
Metabolic syndrome
Pakistan

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Adil, S. O., Musa, K. I., Uddin, F., Khan, A., Khan, I., Shakeel, A., Shafique, K., & Islam, M. A. (2024). Prevalence of undiagnosed metabolic syndrome using three different definitions and identifying associated risk factors among apparently healthy adults in Karachi, Pakistan: a cross-sectional survey in the year 2022. Archives of Public Health, 82(1), Article 22. https://doi.org/10.1186/s13690-024-01250-3

@article{8590580b85474fd2906a0d557432ddcd,

title = "Prevalence of undiagnosed metabolic syndrome using three different definitions and identifying associated risk factors among apparently healthy adults in Karachi, Pakistan: a cross-sectional survey in the year 2022",

abstract = "Objective: To determine the prevalence and associated risk factors of undiagnosed metabolic syndrome (MetS) using three different definitions among apparently healthy adults of Karachi, Pakistan. Methods: This community-based cross-sectional survey was conducted in Karachi, Pakistan, from January 2022 to August 2022. A total of 1065 healthy individuals aged 25–80 years of any gender were consecutively included. MetS was assessed using the National Cholesterol Education Program for Adult Treatment Panel (NCEP-ATP) III guidelines, International Diabetes Federation (IDF), and modified NCEP-ATP III. Results: The prevalence of MetS was highest with the modified NCEP-ATP III definition at 33.9\% (95\% CI: 31–36), followed by the IDF definition at 32.2\% (95\% CI: 29–35). In contrast, the prevalence was lower at 22.4\% (95\% CI: 19–25) when using the NCEP ATP III definition. The risk of MetS significantly increases with higher BMI, as defined by the IDF criteria (adjusted OR [ORadj] 1.13, 95\% CI 1.09–2.43), NCEP-ATP III criteria (ORadj 1.15, 95\% CI 1.11–1.19), and modified NCEP-ATP III criteria (ORadj 1.16, 95\% CI 1.12–1.20). Current smokers had significantly higher odds of MetS according to the IDF (ORadj 2.72, 95\% CI 1.84–4.03), NCEP-ATP III (ORadj 3.93, 95\% CI 2.55–6.06), and modified NCEP-ATP III (ORadj 0.62, 95\% CI 0.43–0.88). Areca nut use was associated with higher odds of MetS according to both IDF (ORadj 1.71, 95\% CI 1.19–2.47) and modified NCEP-ATP III criteria (ORadj 1.58, 95\% CI 1.10–2.72). Furthermore, low physical activity had significantly higher odds of MetS according to the NCEP-ATP III (ORadj 1.36, 95\% CI 1.01–1.84) and modified NCEP-ATP III criteria (ORadj 1.56, 95\% CI 1.08–2.26). Conclusion: One-third of the healthy individuals were diagnosed with MetS based on IDF, NCEP-ATP III, and modified NCEP-ATP III criteria. A higher BMI, current smoking, areca nut use, and low physical activity were significant factors.",

keywords = "Healthy individuals, Prevalence, Karachi, Metabolic syndrome, Pakistan",

author = "Adil, \{Syed Omair\} and Musa, \{Kamarul Imran\} and Fareed Uddin and Asima Khan and Irfanullah Khan and Areebah Shakeel and Kashif Shafique and Islam, \{Md Asiful\}",

note = "Funding: The study was supported by Sindh Higher Education Commission of Pakistan (Project code: 299).",

year = "2024",

month = feb,

day = "20",

doi = "10.1186/s13690-024-01250-3",

language = "English",

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Adil, SO, Musa, KI, Uddin, F, Khan, A, Khan, I, Shakeel, A, Shafique, K & Islam, MA 2024, 'Prevalence of undiagnosed metabolic syndrome using three different definitions and identifying associated risk factors among apparently healthy adults in Karachi, Pakistan: a cross-sectional survey in the year 2022', Archives of Public Health, vol. 82, no. 1, 22. https://doi.org/10.1186/s13690-024-01250-3

Prevalence of undiagnosed metabolic syndrome using three different definitions and identifying associated risk factors among apparently healthy adults in Karachi, Pakistan: a cross-sectional survey in the year 2022. / Adil, Syed Omair; Musa, Kamarul Imran; Uddin, Fareed et al.
In: Archives of Public Health, Vol. 82, No. 1, 22, 20.02.2024.

Research output: Contribution to journal › Article › peer-review

TY - JOUR

T1 - Prevalence of undiagnosed metabolic syndrome using three different definitions and identifying associated risk factors among apparently healthy adults in Karachi, Pakistan

T2 - a cross-sectional survey in the year 2022

AU - Adil, Syed Omair

AU - Musa, Kamarul Imran

AU - Uddin, Fareed

AU - Khan, Asima

AU - Khan, Irfanullah

AU - Shakeel, Areebah

AU - Shafique, Kashif

AU - Islam, Md Asiful

N1 - Funding: The study was supported by Sindh Higher Education Commission of Pakistan (Project code: 299).

PY - 2024/2/20

Y1 - 2024/2/20

N2 - Objective: To determine the prevalence and associated risk factors of undiagnosed metabolic syndrome (MetS) using three different definitions among apparently healthy adults of Karachi, Pakistan. Methods: This community-based cross-sectional survey was conducted in Karachi, Pakistan, from January 2022 to August 2022. A total of 1065 healthy individuals aged 25–80 years of any gender were consecutively included. MetS was assessed using the National Cholesterol Education Program for Adult Treatment Panel (NCEP-ATP) III guidelines, International Diabetes Federation (IDF), and modified NCEP-ATP III. Results: The prevalence of MetS was highest with the modified NCEP-ATP III definition at 33.9% (95% CI: 31–36), followed by the IDF definition at 32.2% (95% CI: 29–35). In contrast, the prevalence was lower at 22.4% (95% CI: 19–25) when using the NCEP ATP III definition. The risk of MetS significantly increases with higher BMI, as defined by the IDF criteria (adjusted OR [ORadj] 1.13, 95% CI 1.09–2.43), NCEP-ATP III criteria (ORadj 1.15, 95% CI 1.11–1.19), and modified NCEP-ATP III criteria (ORadj 1.16, 95% CI 1.12–1.20). Current smokers had significantly higher odds of MetS according to the IDF (ORadj 2.72, 95% CI 1.84–4.03), NCEP-ATP III (ORadj 3.93, 95% CI 2.55–6.06), and modified NCEP-ATP III (ORadj 0.62, 95% CI 0.43–0.88). Areca nut use was associated with higher odds of MetS according to both IDF (ORadj 1.71, 95% CI 1.19–2.47) and modified NCEP-ATP III criteria (ORadj 1.58, 95% CI 1.10–2.72). Furthermore, low physical activity had significantly higher odds of MetS according to the NCEP-ATP III (ORadj 1.36, 95% CI 1.01–1.84) and modified NCEP-ATP III criteria (ORadj 1.56, 95% CI 1.08–2.26). Conclusion: One-third of the healthy individuals were diagnosed with MetS based on IDF, NCEP-ATP III, and modified NCEP-ATP III criteria. A higher BMI, current smoking, areca nut use, and low physical activity were significant factors.

AB - Objective: To determine the prevalence and associated risk factors of undiagnosed metabolic syndrome (MetS) using three different definitions among apparently healthy adults of Karachi, Pakistan. Methods: This community-based cross-sectional survey was conducted in Karachi, Pakistan, from January 2022 to August 2022. A total of 1065 healthy individuals aged 25–80 years of any gender were consecutively included. MetS was assessed using the National Cholesterol Education Program for Adult Treatment Panel (NCEP-ATP) III guidelines, International Diabetes Federation (IDF), and modified NCEP-ATP III. Results: The prevalence of MetS was highest with the modified NCEP-ATP III definition at 33.9% (95% CI: 31–36), followed by the IDF definition at 32.2% (95% CI: 29–35). In contrast, the prevalence was lower at 22.4% (95% CI: 19–25) when using the NCEP ATP III definition. The risk of MetS significantly increases with higher BMI, as defined by the IDF criteria (adjusted OR [ORadj] 1.13, 95% CI 1.09–2.43), NCEP-ATP III criteria (ORadj 1.15, 95% CI 1.11–1.19), and modified NCEP-ATP III criteria (ORadj 1.16, 95% CI 1.12–1.20). Current smokers had significantly higher odds of MetS according to the IDF (ORadj 2.72, 95% CI 1.84–4.03), NCEP-ATP III (ORadj 3.93, 95% CI 2.55–6.06), and modified NCEP-ATP III (ORadj 0.62, 95% CI 0.43–0.88). Areca nut use was associated with higher odds of MetS according to both IDF (ORadj 1.71, 95% CI 1.19–2.47) and modified NCEP-ATP III criteria (ORadj 1.58, 95% CI 1.10–2.72). Furthermore, low physical activity had significantly higher odds of MetS according to the NCEP-ATP III (ORadj 1.36, 95% CI 1.01–1.84) and modified NCEP-ATP III criteria (ORadj 1.56, 95% CI 1.08–2.26). Conclusion: One-third of the healthy individuals were diagnosed with MetS based on IDF, NCEP-ATP III, and modified NCEP-ATP III criteria. A higher BMI, current smoking, areca nut use, and low physical activity were significant factors.

KW - Healthy individuals

KW - Prevalence

KW - Karachi

KW - Metabolic syndrome

KW - Pakistan

U2 - 10.1186/s13690-024-01250-3

DO - 10.1186/s13690-024-01250-3

M3 - Article

C2 - 38378657

SN - 2049-3258

VL - 82

JO - Archives of Public Health

JF - Archives of Public Health

IS - 1

M1 - 22

ER -