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The Influence of Gender and Self-Efficacy on Healthy Eating in a Low-Income Urban Population Affected by Structural Changes to the Food Environment

机译:性别和自我效能对受食物结构变化影响的低收入城市人口健康饮食的影响

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Although US obesity prevention efforts have begun to implement avariety of system and environmental change strategies to addressthe underlying socioecological barriers to healthy eating, factorswhich can impede or facilitate community acceptance of suchinterventions are often poorly understood. This is due, in part,to the paucity of subpopulation health data that are available tohelp guide local planning and decision-making. We contribute tothis gap in practice by examining area-specific health data for apopulation targeted by federally funded nutrition interventions inLos Angeles County. Using data from a local health assessment thatcollected information on sociodemographics, self-reported healthbehaviors, and objectively measured height, weight, and bloodpressure for a subset of low-income adults (n= 720), we compared health risks and predictors of healthy eatingacross at-risk groups using multivariable modeling analyses. Ourmain findings indicate being a woman and having high self-efficacyin reading Nutrition Facts labels were strong predictors ofhealthy eating (P<0.05). These findingssuggest that intervening with women may help increase the reach ofthese nutrition interventions, and that improving self-efficacy inhealthy eating through public education and/or by other means canhelp prime at-risk groups to accept and take advantage of thesefood environment changes.
机译:尽管美国的肥胖预防工作已开始实施各种系统和环境变化策略,以解决健康饮食的潜在社会生态障碍,但阻碍​​或促进社区接受此类干预的因素通常知之甚少。这部分归因于可用于帮助指导当地规划和决策的亚人群健康数据的匮乏。我们通过检查洛杉矶县联邦政府资助的营养干预措施针对特定人群的健康数据,来解决这一实际差距。使用来自当地健康评估的数据,该数据收集了社会人口统计学信息,自我报告的健康行为以及客观测量的一部分低收入成年人(n = 720)的身高,体重和血压,我们比较了健康风险和健康饮食的预测因素多变量建模分析的高风险群体。我们的主要发现表明,女性和具有较高自我效能的人阅读营养成分标签是健康饮食的有力预测指标(P <0.05)。这些发现表明,干预妇女可能有助于增加这些营养干预的范围,并且通过公众教育和/或通过其他方式改善健康饮食的自我效能可以帮助处于危险中的群体接受并利用这些食物环境的变化。

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