Schrock Joshua M, McClure Heather H, Snodgrass J Josh, Liebert Melissa A, Charlton Karen E, Arokiasamy Perianayagam, Naidoo Nirmala, Kowal Paul
Department of Anthropology, University of Oregon, Eugene, Oregon, 97403.
Center for Equity Promotion, College of Education, University of Oregon, Eugene, Oregon, 97403.
Am J Hum Biol. 2017 Nov;29(6). doi: 10.1002/ajhb.23033. Epub 2017 Jul 5.
Our objective was to test whether food insecurity mediates cross-sectional associations between social disadvantage and body composition among older adults (aged 50+) in India (n = 6556).
Adjusting for key sociodemographic and dietary variables, we examined whether markers of social disadvantage (lower educational attainment, lower household wealth, belonging to a disadvantaged caste/tribe, and belonging to a minority religion) were associated with food insecurity. We then examined whether food insecurity, in turn, was associated with anthropometric measures of body composition, body mass index (BMI), and waist circumference (WC). We also tested whether food insecurity mediated the relationship between social disadvantage and body composition.
In adjusted models, lower household wealth [lowest quintile (Q5) vs highest quintile (Q1): odds ratio (OR) = 13.57, P < .001], having less than a high-school education (OR = 2.12. P < .005), being Muslim (OR = 1.82, P < .001), and being in a scheduled caste (historically marginalized) (OR = 1.49, P < .005) were associated with greater food insecurity. Those who were severely food insecure had greater odds of being underweight (OR = 1.36, P < .01) and lower odds of high WC (OR = 0.70, P < .01). Mediation analyses estimated that food insecurity explained 4.7%-29.7% of the relationship between social disadvantage and body composition, depending on the variables considered.
Our results are consistent with the hypothesis that food insecurity is a mechanism linking social disadvantage and body composition among older adults in India. These analyses contribute to a better understanding of processes leading to variation in body composition, which may help enhance the design of interventions aimed at improving population nutritional status.
我们的目的是检验在印度6556名50岁及以上的老年人中,粮食不安全状况是否介导了社会劣势与身体成分之间的横断面关联。
在对关键的社会人口统计学和饮食变量进行调整后,我们研究了社会劣势指标(教育程度较低、家庭财富较少、属于弱势种姓/部落以及属于少数宗教群体)是否与粮食不安全状况相关。然后,我们研究了粮食不安全状况是否反过来与身体成分的人体测量指标、体重指数(BMI)和腰围(WC)相关。我们还检验了粮食不安全状况是否介导了社会劣势与身体成分之间的关系。
在调整后的模型中,家庭财富较低(最低五分位数(Q5)与最高五分位数(Q1)相比:优势比(OR)=13.57,P<0.001)、高中以下学历(OR=2.12,P<0.005)、是穆斯林(OR=1.82,P<0.001)以及属于在册种姓(历史上处于边缘地位)(OR=1.49,P<0.005)与更高的粮食不安全状况相关。那些严重粮食不安全的人体重过轻的几率更高(OR=1.36,P<0.01),高腰围的几率更低(OR=0.70,P<0.01)。中介分析估计,根据所考虑的变量,粮食不安全状况解释了社会劣势与身体成分之间4.7%-29.7%的关系。
我们的结果与以下假设一致,即粮食不安全状况是印度老年人中连接社会劣势与身体成分的一种机制。这些分析有助于更好地理解导致身体成分差异的过程,这可能有助于改进旨在改善人群营养状况的干预措施的设计。