Gudzune Kimberly A, Peyton Jennifer, Pollack Craig Evan, Young J Hunter, Levine David M, Latkin Carl A, Clark Jeanne M
Division of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Medical Institutions, Baltimore, MD, USA.
Prev Med Rep. 2019 Jan 25;14:100809. doi: 10.1016/j.pmedr.2019.01.013. eCollection 2019 Jun.
The American Heart Association has encouraged networks research focused on cardiovascular disease and its risk factors, such as obesity. However, little network research has focused on minorities or low-income populations. Our objective was to characterize the relationship between body mass index (BMI) with social network overweight/obesity among public housing residents in Baltimore, MD - a predominantly black, low-income group. We conducted a cross-sectional survey of randomly selected public housing residences (8/2014-8/2015). Adults had their height and weight measured and reported their network members' weight statuses using pictograms. Our dependent variable was respondents' BMI, and independent variable was perceived exposure to overweight/obesity in the social network. We also explored network exposure to overweight/obesity among 1) family members and 2) friends. We used multivariable linear regression adjusted for significant covariates. Our sample included 255 adults with mean age of 44.4 years, 85.5% women, 95.7% black, and mean BMI of 33.2 kg/m. Most network members were overweight/obese (56.1%). For every 1% increase in network exposure to overweight/obesity, individuals' BMI decreased by 0.05 kg/m ( = 0.06). As network exposure to overweight/obesity among friends increased, individuals' BMI significantly decreased by 0.06 kg/m ( = 0.04). There was no significant relationship between BMI and network exposure to overweight/obesity among family members. In conclusion, among Baltimore public housing residents, a statistically significant, inverse association existed between individuals' BMI and overweight/obesity among friends in their social networks. Our results differ from relationships seen in prior studies of other populations, which may be due to racial and/or contextual differences between studies.
美国心脏协会鼓励开展针对心血管疾病及其风险因素（如肥胖）的网络研究。然而，很少有网络研究关注少数族裔或低收入人群。我们的目标是描述马里兰州巴尔的摩市公共住房居民（主要是黑人低收入群体）的体重指数（BMI）与社交网络超重/肥胖之间的关系。我们对随机选择的公共住房居民进行了横断面调查（2014年8月至2015年8月）。成年人测量了身高和体重，并使用象形图报告其网络成员的体重状况。我们的因变量是受访者的BMI，自变量是社交网络中感知到的超重/肥胖暴露情况。我们还探讨了1）家庭成员和2）朋友之间的网络超重/肥胖暴露情况。我们使用多变量线性回归对显著协变量进行了调整。我们的样本包括255名成年人，平均年龄为44.4岁，85.5%为女性，95.7%为黑人，平均BMI为33.2kg/m²。大多数网络成员超重/肥胖（56.1%）。社交网络中超重/肥胖暴露每增加1%，个体的BMI下降0.05kg/m²（P=0.06）。随着朋友中超重/肥胖暴露的增加，个体的BMI显著下降0.06kg/m²（P=0.04）。BMI与家庭成员中超重/肥胖暴露之间没有显著关系。总之，在巴尔的摩公共住房居民中，个体的BMI与社交网络中朋友的超重/肥胖之间存在统计学上显著的负相关。我们的结果与之前其他人群研究中发现的关系不同，这可能是由于研究之间的种族和/或背景差异所致。
