Centre for Non-Communicable Diseases and Nutrition, BRAC James P Grant School of Public Health, BRAC University, Dhaka, Bangladesh.
Centre for Science of Implementation and Scale-Up, BRAC James P Grant School of Public Health, BRAC University, Dhaka, Bangladesh.
BMJ Open. 2019 Mar 20;9(3):e024680. doi: 10.1136/bmjopen-2018-024680.
This study aimed to discern the association between the frequency of television viewing and overweight and obesity among reproductive age women of Myanmar.
This was a cross-sectional study.
This study used Myanmar Demographic and Health Survey (2015-2016) data.
Total of 12 021 women both aged 15-49 years and also not pregnant or did not deliver a child within the 2 months prior to the survey were included.
The primary outcome was overweight (23.0 kg/m to <27.5 kg/m) and obesity (≥27.5 kg/m), which was measured using the Asian body mass index cut-off. Ordered logistic regression analysis was conducted to find the association between the explanatory and outcome variables. The potential confounders controlled in the multivariable analyses were age, place of residence, region of residence, highest educational status, current employment status, wealth index, parity and number of household members.
The prevalence of overweight was 26.5% and obesity was 12.2% among the study participants. The odds of being overweight and obese were 20% higher (adjusted OR (AOR) 1.16, 95% CI 1.02 to 1.32; p=0.023) among those who watched television at least once a week compared with those who did not watch television at all. Rural women who watched television at least once a week were 1.2 times more likely to be obese (AOR 1.16, 95% CI 1.01 to 1.34; p=0.040) compared with those who did not watch television at all.
Frequent television watching was associated with obesity among rural women of reproductive age in Myanmar.
本研究旨在探讨缅甸育龄妇女看电视频率与超重和肥胖之间的关系。
这是一项横断面研究。
本研究使用了缅甸人口与健康调查(2015-2016 年)的数据。
共纳入 12021 名年龄在 15-49 岁之间、调查前 2 个月内未怀孕或未分娩的妇女。
主要结果是超重(23.0kg/m 至 <27.5kg/m)和肥胖(≥27.5kg/m),采用亚洲体重指数切点进行测量。采用有序逻辑回归分析发现解释变量和结果变量之间的关系。多变量分析中控制的潜在混杂因素包括年龄、居住地、居住地所在地区、最高教育程度、当前就业状况、财富指数、产次和家庭人口数。
研究参与者中超重的患病率为 26.5%,肥胖的患病率为 12.2%。与完全不看电视的人相比,每周至少看一次电视的人超重和肥胖的几率高 20%(调整后的比值比(AOR)为 1.16,95%置信区间为 1.02 至 1.32;p=0.023)。每周至少看一次电视的农村妇女肥胖的可能性是完全不看电视的妇女的 1.2 倍(AOR 为 1.16,95%置信区间为 1.01 至 1.34;p=0.040)。
频繁看电视与缅甸农村育龄妇女肥胖有关。