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运用结构方程模型理解南非年轻成年女性的社会经济地位、身体活动与久坐行为以及肥胖之间的关系。

Understanding the Relationship between Socio-Economic Status, Physical Activity and Sedentary Behaviour, and Adiposity in Young Adult South African Women Using Structural Equation Modelling.

作者信息

Micklesfield Lisa K, Munthali Richard J, Prioreschi Alessandra, Said-Mohamed Rihlat, van Heerden Alastair, Tollman Stephen, Kahn Kathleen, Dunger David, Norris Shane A

机构信息

MRC/Wits Developmental Pathways for Health Research Unit, Department of Paediatrics, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg 2193, South Africa.

Human and Social Development Research Programme, Human Sciences Research Council, 22 Mbuvu Dr, Sweetwater, Pietermaritzburg 3201, South Africa.

出版信息

Int J Environ Res Public Health. 2017 Oct 23;14(10):1271. doi: 10.3390/ijerph14101271.

Abstract

Socio-economic status (SES) is an important predictor of obesity, but how it is associated with differences in physical activity and sedentary behaviour is less clear. This cross-sectional study examined the association between SES (sum of household assets), physical activity and sedentary time, and how they predict adiposity. Socio-demographic, anthropometric, and physical activity data on rural ( = 509) and urban ( = 510) South African women (18-23 years) were collected. Overweight and obesity prevalence, and sedentary time, were higher; and moderate-vigorous intensity physical activity (MVPA) was lower, in the urban sample. Structural equation models (SEMs) were constructed for BMI and waist circumference. In the urban sample SES had a direct inverse effect on MVPA (ß; 95% CI, -41.69; -73.40 to -9.98), while in the rural sample SES had a direct effect on BMI (ß; 95% CI, 0.306; 0.03 to 0.59). In the pooled sample, SES had a direct inverse effect on MVPA (ß; 95% CI, -144; -170.34 to -119.04), and MVPA was directly associated with BMI (ß; 95% CI, 0.04; 0.01 to 0.08). The influence of SES, and the role of physical activity and sedentary time on adiposity differs between the urban and rural samples, and the importance of other environmental and behavioural factors must be considered in the development of obesity and the design of effective interventions.

摘要

社会经济地位(SES)是肥胖的一个重要预测因素,但它与身体活动和久坐行为差异之间的关联尚不清楚。这项横断面研究考察了SES(家庭资产总和)、身体活动和久坐时间之间的关联,以及它们如何预测肥胖。收集了南非农村(n = 509)和城市(n = 510)18 - 23岁女性的社会人口统计学、人体测量学和身体活动数据。城市样本中的超重和肥胖患病率以及久坐时间更高;中等至剧烈强度身体活动(MVPA)更低。构建了关于体重指数(BMI)和腰围的结构方程模型(SEM)。在城市样本中,SES对MVPA有直接的反向影响(β;95%CI,-41.69;-73.40至-9.98),而在农村样本中,SES对BMI有直接影响(β;95%CI,0.306;0.03至0.59)。在合并样本中,SES对MVPA有直接的反向影响(β;95%CI,-144;-170.34至-119.04),且MVPA与BMI直接相关(β;95%CI,0.04;0.01至0.08)。城市和农村样本中,SES的影响以及身体活动和久坐时间对肥胖的作用有所不同,在肥胖的发展和有效干预措施的设计中必须考虑其他环境和行为因素的重要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d218/5664772/b2ce430ceec5/ijerph-14-01271-g001.jpg

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