Elfassy Tali, Yi Stella S, Llabre Maria M, Schneiderman Neil, Gellman Marc, Florez Hermes, Prado Guillermo, Zeki Al Hazzouri Adina
Department of Public Health Sciences, University of Miami, Miami, Florida, USA.
Department of Population Health, New York University School of Medicine, New York, USA.
BMJ Open. 2017 Dec 29;7(12):e018566. doi: 10.1136/bmjopen-2017-018566.
To determine whether neighbourhood socioeconomic status (SES) is associated with body mass index (BMI), waist circumference (WC) and biomarkers of diet (urinary sodium and potassium excretion).
A cross-sectional study.
The data reported were from the 2010 Heart Follow-up Study, a population-based representative survey of 1645 adults.
Community-dwelling diverse residents of New York City nested within 128 neighbourhoods (zip codes).
BMI (kg/m) and WC (inches) were measured during in-home visits, and 24-hour urine sample was collected to measure biomarkers of diet: sodium (mg/day) and potassium (mg/day), with high sodium and low potassium indicative of worse diet quality.
After adjusting for individual-level characteristics using multilevel linear regressions, low versus high neighbourhood SES tertile was associated with 1.83 kg/m higher BMI (95% CI 0.41 to 3.98) and 251 mg/day lower potassium excretion (95% CI -409 to 93) among women only, with no associations among men (P values for neighbourhood SES by sex interactions <0.05).
Our results suggest that women may be particularly vulnerable to the effects of a socioeconomically disadvantaged neighbourhood. Future neighbourhood research should explore sex differences, as these can inform tailored interventions.
NCT01889589; Results.
确定邻里社会经济地位(SES)是否与体重指数(BMI)、腰围(WC)以及饮食生物标志物(尿钠和钾排泄量)相关。
横断面研究。
报告的数据来自2010年心脏随访研究,这是一项对1645名成年人进行的基于人群的代表性调查。
纽约市128个社区(邮政编码区域)内居住的不同社区居民。
在家访期间测量BMI(kg/m)和WC(英寸),并收集24小时尿液样本以测量饮食生物标志物:钠(mg/天)和钾(mg/天),高钠和低钾表明饮食质量较差。
在使用多水平线性回归调整个体水平特征后,邻里SES三分位数低与高相比,仅在女性中与BMI高1.83 kg/m(95%CI 0.41至3.98)和钾排泄量低251 mg/天(95%CI -409至93)相关,男性中无相关性(邻里SES按性别交互作用的P值<0.05)。
我们的结果表明,女性可能特别容易受到社会经济条件不利社区的影响。未来的社区研究应探索性别差异,因为这些差异可为量身定制的干预措施提供依据。
NCT01889589;结果。