Prevention Research Center in St. Louis, Brown School at Washington University in St. Louis, St. Louis, MO, USA.
Center for Diabetes Translation Research, Washington University in St. Louis, St. Louis, MO, USA.
Int J Behav Nutr Phys Act. 2022 Oct 1;19(1):130. doi: 10.1186/s12966-022-01368-z.
Women of childbearing age are vulnerable to weight gain and experience a high prevalence of obesity due to pregnancy and stressors of parenthood. Lifestyle interventions such as the Healthy Eating and Active Living Taught at Home (HEALTH) study have been effective for weight loss; however, little is known about how the built environment (parks, transit, grocery stores, fast food, walkability etc.), where participants live might modify intervention effectiveness. This study examined whether characteristics of the neighborhood built environment modified effectiveness of the HEALTH study on weight loss. METHODS: Secondary data analysis was conducted using data from HEALTH. Using GIS, buffers were built around participant addresses to capture distance to and availability of food (grocery store, convenience store, fast food) and urban design and transit (parks, street connectivity, transit) built environment characteristics. Built environment characteristics were dichotomized into low and high density and distance. Likelihood ratio tests for interaction were conducted to determine if built environment characteristics modified intervention effectiveness on Body mass index (BMI) and waist circumference (WC). Mixed effects linear regression models were then run to estimate the effect of the HEALTH intervention on weight outcomes at 24-months across both strata of built environment characteristics. RESULTS: The analytic sample (n = 151) had baseline mean BMI 34.9 (SD = 5.8) and mean WC 46.0 cm (SD4.9). All urban design and transit and all food environment characteristics modified HEALTH effectiveness on one or both weight outcomes. The built environment modified the HEALTH intervention such that it was mostly effective for mothers residing in neighborhoods with low transit access, low street connectivity, high park access, and low access to grocery stores, convenience stores, and fast food.
Result show the HEALTH was most effective for women residing neighborhoods with built environment characteristics suggestive of suburban neighborhood typology. To maximize impact for mothers residing in all types of neighborhoods, future research should explore scaling up HEALTH in suburban settings, while adapting HEALTH to maximize effectiveness in compact neighborhoods most likely, urban core neighborhoods.
育龄妇女容易体重增加,并且由于怀孕和为人父母的压力,肥胖的发病率很高。健康饮食和积极生活在家中教授(HEALTH)等生活方式干预措施对于减肥是有效的;然而,对于参与者居住的邻里环境(公园、交通、杂货店、快餐店、步行便利性等)如何改变干预效果知之甚少。本研究检查了邻里环境的特征是否改变了 HEALTH 研究在减肥方面的有效性。
使用 HEALTH 数据进行二次数据分析。使用 GIS,在参与者地址周围建立缓冲区,以捕获食物(杂货店、便利店、快餐店)和城市设计和交通(公园、街道连通性、交通)的距离和可获得性等邻里环境特征。邻里环境特征被分为低和高密度和距离。进行似然比检验来确定环境特征是否改变了干预对身体质量指数(BMI)和腰围(WC)的效果。然后运行混合效应线性回归模型,以估计 HEALTH 干预在 24 个月时对体重结果的影响,跨越两个邻里环境特征的层次。
分析样本(n=151)的基线平均 BMI 为 34.9(SD=5.8),平均 WC 为 46.0 cm(SD4.9)。所有城市设计和交通以及所有食品环境特征都改变了 HEALTH 对一个或两个体重结果的效果。环境特征改变了 HEALTH 干预,使其对居住在交通不便、街道连通性低、公园可及性高、杂货店、便利店和快餐店可及性低的社区的母亲最为有效。
结果表明,HEALTH 对居住在具有暗示郊区邻里类型学的邻里环境特征的女性最为有效。为了使居住在所有类型社区的母亲的影响最大化,未来的研究应探索在郊区环境中扩大 HEALTH 的规模,同时适应 HEALTH 以最大限度地提高紧凑社区的效果,最有可能是城市核心社区。