Objective: To study the pattern and prevalence of obesity in a large representative sample of Pakistani population aged 20 years and above.
Methodology: This study is a sub analysis of the second National Diabetes Survey of Pakistan (NDSP) 2016-2017, a large community-based epidemiological survey carried out from February 2016 to August 2017 in all 4 provinces of Pakistan. An estimated sample size of 10,834 people was calculated using a multistage sampling technique. Out of 213 clusters, Twenty-seven clusters were selected from all four provinces of Pakistan. Households were identified and selected members of every 10th household were advised to come to the campsite after an overnight fast. All the study participants underwent anthropometric measurements including height, weight, and waist circumference by using standardized techniques and oral glucose tolerance tests were done. Data were analyzed on the statistical package for social sciences (SPSS), version 20.
Results: Overall weighted prevalence of generalized obesity was 57.9% (42% in males and 58% in females) and central obesity 73.1% (37.3% in males and 62.7% in females) as per WHO Asia pacific cutoffs. The highest prevalence of generalized obesity was found in Punjab 60%, followed by Khyber, Pakhtunkhwa 59.2%. Moreever, highest prevalence of abdominal obesity was observed in Baluchistan 82.1%, followed by Punjab 73.3%. Obesity (generalized and abdominal) was found significantly associated with diabetes, hypertension, and dyslipidemia.
Conclusion: The prevalence of obesity is at epidemic proportions in Pakistan, calling for urgent lifestyle intervention strategies to prevent and manage this important cardiometabolic risk factor.
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http://dx.doi.org/10.1016/j.orcp.2020.11.007 | DOI Listing |
BMC Endocr Disord
January 2025
Gastroenterology and Hepatology Research Center, Institute of Basic and Clinical Physiology Sciences, of Clinical Biochemistry, Kerman University of Medical Sciences, Jahad Boulevard Avicenna Avenue, Kerman, 7619813159, Iran.
Obesity and atherosclerosis are significant metabolic diseases characterized by disrupted lipid metabolism. MicroRNAs (miRNAs) are small, conserved, non-coding RNA sequences consisting of approximately 22 nucleotides, playing crucial roles in biological and pathological functions. Among these, miR-33a/b is particularly associated with metabolic diseases, notably obesity and atherosclerosis.
View Article and Find Full Text PDFLipids Health Dis
January 2025
Department of Cardiovascular, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, China.
Background: The relationship between body roundness index (BRI), a new obesity index, and frailty has not been established. This study aims to compare the associations of traditional obesity index body mass index (BMI) and BRI with frailty and the risk of all-cause mortality.
Methods: The clinical data of 15,157 participants over 40 years old from the National Health and Nutrition Examination Survey (NHANES) from 2003 to 2018 were analyzed.
BMC Nutr
January 2025
Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran.
Background: Recent studies suggest a link between dietary fat quality and obesity. Genetic risk scores (GRS) can predict obesity risk based on genetic factors. This study investigates how GRS and fatty acid quality affect visceral adiposity index (VAI) and body adiposity index (BAI) in overweight and obese women.
View Article and Find Full Text PDFJ Transl Med
January 2025
Department of Endocrinology, Diabetology and Metabolism, Lausanne University Hospital, Avenue de la Sallaz 8, CH-1011, Lausanne, Switzerland.
Background: Obesity is associated with varying degrees of metabolic dysfunction. In this study, we aimed to discover markers of the severity of metabolic impairment in men with obesity via a multiomics approach.
Methods: Thirty-two morbidly men with obesity who were candidates for Roux-en-Y gastric bypass (RYGB) surgery were prospectively followed.
BMC Public Health
January 2025
School of Health Policy and Management, Chinese Academy of Medical Sciences and Peking Union Medical College, Dongdansantiao, Dongcheng district, Beijing, 100730, China.
Introduction: Retirement represents a significant life transition and is associated with individual health outcomes. Previous studies on the health effects of retirement have yielded inconsistent conclusions. This study aimed to estimate the impact of retirement on the body mass index (BMI) and BMI-defined overweight and obesity.
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