Literature DB >> 23276774

Associations of occupational, transportation, household and leisure-time physical activity patterns with metabolic risk factors among middle-aged adults in a middle-income country.

Anne H Y Chu1, Foong Ming Moy.   

Abstract

OBJECTIVE: This study investigates physical activity in different domains and its association with metabolic risk factors among middle-aged adults.
METHOD: The study was performed in Kuala Lumpur, Malaysia from August 2010-August 2011. Body mass index (BMI), waist circumference, systolic/diastolic blood pressure, and fasting blood glucose/lipid profile were measured in 686 Malay participants (mean age 45.9 ± 6.5 years). Self-reported physical activity was obtained with the validated IPAQ (Malay version) and categorized into low-, moderate- and high-activity levels across occupational, transportation, household and leisure-time domains.
RESULTS: Participants spent most of their time on household (567.5, 95% CI: 510-630 MET-minutes/week) and occupational activities (297, 95% CI: 245-330 MET-minutes/week). After adjusted for gender and smoking, participants with low-activity levels in occupational, transport and household domains were associated with significantly higher odds for metabolic syndrome (2.02, 95% CI: 1.33-3.05; 1.49, 95% CI: 1.01-2.21; 1.96, 95% CI: 1.33-2.91). Significantly higher odds for obesity and abdominal obesity were consistently reported among those with low-activity levels across all four domains.
CONCLUSION: High-activity levels in occupational, transportation and household domains were each negatively associated with metabolic syndrome among our cohort. Increase participation of physical activity across all four domains (including leisure-time activity) should be encouraged.
Copyright © 2012 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Blood glucose; Central obesity; Cross-sectional studies; Hypertension; Malaysia; Metabolic syndrome; Obesity; Physical activity; Serum lipids

Mesh:

Substances:

Year:  2012        PMID: 23276774     DOI: 10.1016/j.ypmed.2012.12.011

Source DB:  PubMed          Journal:  Prev Med        ISSN: 0091-7435            Impact factor:   4.018


  15 in total

1.  Association of Physical Activity and Sitting Time with Overweight/Obesity in Chinese Occupational Populations.

Authors:  Fan Yuan; Weiyan Gong; Caicui Ding; Hui Li; Ganyu Feng; Yanning Ma; Jing Fan; Chao Song; Ailing Liu
Journal:  Obes Facts       Date:  2021-01-26       Impact factor: 3.942

2.  The relationship between physical activity, body fatness and metabolic syndrome in urban South African school teachers: The sympathetic activity and ambulatory blood pressure in Africans study.

Authors:  Tamrin Veldsman; Mariette Swanepoel; Johanna S Brits; Makama A Monyeki
Journal:  Afr J Prim Health Care Fam Med       Date:  2022-05-30

3.  Occupational Physical Activity and Coronary Heart Disease in Women's Health Initiative Observational Study.

Authors:  Conglong Wang; Anneclaire J De Roos; Kaori Fujishiro; Matthew A Allison; Robert Wallace; Rebecca A Seguin; Rami Nassir; Yvonne L Michael
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2019-11-13       Impact factor: 6.053

4.  Association between adolescents' physical activity and sedentary behaviors with change in BMI and risk of type 2 diabetes.

Authors:  Paul H Lee
Journal:  PLoS One       Date:  2014-10-23       Impact factor: 3.240

5.  Prevalence of metabolic syndrome and its risk factors among rural adults in Nantong, China.

Authors:  Jing Xiao; Chuan-Li Wu; Yue-Xia Gao; Shu-Lan Wang; Lei Wang; Qing-Yun Lu; Xiao-Jian Wang; Tian-Qi Hua; Huan Shen; Hui Cai
Journal:  Sci Rep       Date:  2016-11-30       Impact factor: 4.379

6.  Estimated global overweight and obesity burden in pregnant women based on panel data model.

Authors:  Cheng Chen; Xianglong Xu; Yan Yan
Journal:  PLoS One       Date:  2018-08-09       Impact factor: 3.240

7.  Is high aerobic workload at work associated with leisure time physical activity and sedentary behaviour among blue-collar workers? A compositional data analysis based on accelerometer data.

Authors:  Charlotte Lund Rasmussen; Javier Palarea-Albaladejo; Mette Korshøj; Nidhi Gupta; Kirsten Nabe-Nielsen; Andreas Holtermann; Marie Birk Jørgensen
Journal:  PLoS One       Date:  2019-06-06       Impact factor: 3.240

8.  Association of Leisure Time Physical Activity and Metabolic Syndrome over 40 Years.

Authors:  Mi-Young Park; Sung-Hi Kim; Yoon-Jeong Cho; Rae-Ho Chung; Ki-Tae Lee
Journal:  Korean J Fam Med       Date:  2014-03-24

9.  Patterns and socio-demographic correlates of domain-specific physical activities and their associations with adiposity in the China Kadoorie Biobank study.

Authors:  Huaidong Du; Liming Li; Gary Whitlock; Derrick Bennett; Yu Guo; Zheng Bian; Junshi Chen; Paul Sherliker; Ying Huang; Ningmei Zhang; Xiangyang Zheng; Zhongxiao Li; Ruying Hu; Rory Collins; Richard Peto; Zhengming Chen
Journal:  BMC Public Health       Date:  2014-08-09       Impact factor: 3.295

10.  Does Physically Demanding Work Hinder a Physically Active Lifestyle in Low Socioeconomic Workers? A Compositional Data Analysis Based on Accelerometer Data.

Authors:  Charlotte Lund Rasmussen; Javier Palarea-Albaladejo; Adrian Bauman; Nidhi Gupta; Kirsten Nabe-Nielsen; Marie Birk Jørgensen; Andreas Holtermann
Journal:  Int J Environ Res Public Health       Date:  2018-06-21       Impact factor: 3.390

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.