首页> 外文学位 >Family risk factors and federal food assistance benefits: A longitudinal examination of predictors of childhood obesity.
【24h】

Family risk factors and federal food assistance benefits: A longitudinal examination of predictors of childhood obesity.

机译:家庭危险因素和联邦粮食援助的好处:对儿童肥胖预测因素的纵向检查。

获取原文
获取原文并翻译 | 示例

摘要

Purpose. Children who are overweight or obese experience many negative health and social consequences, and weight problems disproportionately affect socioeconomically disadvantaged populations. With data from the Fragile Families and Child Wellbeing Study (FFCWS), this study used life course theory and cumulative risk approaches to examine the relationship between family risk factors, food insecurity, receipt of food assistance benefits, and child overweight or obesity.;Informed by prior research, hypotheses were tested to examine the mechanisms that explain the connection between family risks and child overweight or obesity. Specific research questions were: To what extent are family risk factors, food insecurity, and food benefits associated with child overweight or obesity?; To what extent are aggregated risk factors (rather than specific risk factors), food insecurity, and food benefits associated with child overweight or obesity?; Does exposure at earlier or later ages have more impact on child overweight or obesity?; Do federal food policy benefits moderate the relationship between food insecurity and child overweight or obesity?;Methods. Four waves of publicly available data from the FFCWS were used, when children were 1, 3, 5 and 9 years of age (n= 1,092). BMI percentile was used to create a dichotomous measure, with cut-off at 85% of BMI for overweight or obesity. Family risks were operationalized and analyzed in 3 ways: (i) separate dichotomous measures of financial risk, maternal depression, and parenting stress at each wave, (ii) an aggregated number of these specific risks from infancy through age five, and (iii) a 6-level family risk categorical variable (no risks, low risks during years 1 to 5, high risks in year 1 only, high risks in year 3 only, high risks in year 5 only, and always high risks). These three approaches complement each other. Separate family risk factors provide specific information for potential interventions, whereas a single family risk score is statistically parsimonious. Also, the categorized family risk variable allows for the examination of the role of timing of risk exposure. Food program participation was dichotomized with 1 indicating any of program participation and 0 indication non-participation. Food insecurity was based on an 18-item scale from U.S Department of Agriculture (USDA) and measured as an ordinal variable with four levels (food security, marginally food security, food insecurity, and very high food insecurity). Univariate analysis displayed sample characteristics, and the Pearson correlation and polychoric correlation applied to examine binary relationships. The current study included dichotomous and ordinal variables, but Pearson correlation assumes the variables are continuous and follow a multivariate normal distribution. Thus, both correlation analyses were performed. Hypotheses were tested using generalized structural equation modeling (GSEM) techniques. Results were adjusted by including a weight available in the FFCWS data set at wave 9. All GSEM models included controls for low birth weight status, breastfeeding, children overweight or obesity status (BMI ≥85th percentile) at previous ages, mother's BMI, and number adults in households. Data were analyzed with STATA 14 (StataCorp, 2015).;Results. Thirty-six percent of children were either overweight or obese at age 9, and being overweight or obese at age 9 was positively correlated with family risks and food assistance benefits at the bivariate level. Results of GSEM partially supported the research hypotheses. Food benefits were a significant predictor of BMI, but not as hypothesized. According to models that analyzed specific family risks, financial strain had a strong consistent positive impact on BMI through the receipt of food assistance benefits. Also, the models that analyzed risk as a composite measure was positively associated with child BMI at age 9, but indirectly through food assistance benefits. Food insecurity did not have a significant direct or indirect impact on BMI. In addition, the moderating effect of food supports on the relationship between food insecurity and child overweight or obesity was not statistically supported.;Conclusions. This dissertation extends our understanding about the consequences of family risks on child overweight or obesity in several ways. First the pathways through which family factors matter for children were considered, as little is known about the factors that mediate or moderate this association, especially from ages 1 to 9 years. Second, I use a nationally representative sample of non-marital births to parents residing in cities with populations over 200,000 from multiple waves, which allows consideration of the importance of long-term consequences of family risks on child weight. The study findings should be interpreted with caution due to limitations of the design and measures in the available dataset. Nevertheless, the findings set the stage for future research and have implications for social welfare policy. (Abstract shortened by UMI.).
机译:目的。超重或肥胖的儿童会遭受许多不利的健康和社会后果,而体重问题会严重影响社会经济上处于不利地位的人群。借助脆弱家庭和儿童福祉研究(FFCWS)的数据,本研究使用生命历程理论和累积风险方法研究了家庭风险因素,粮食不安全,获得粮食援助的收益以及儿童超重或肥胖之间的关系。通过先前的研究,对假设进行了检验,以检验解释家庭风险与儿童超重或肥胖之间关系的机制。具体的研究问题是:与儿童超重或肥胖有关的家庭危险因素,粮食不安全和粮食收益在多大程度上?与儿童超重或肥胖有关的综合风险因素(而非特定风险因素),粮食不安全状况和粮食收益在多大程度上?早晚接触对儿童超重或肥胖有更多影响吗?联邦食品政策利益是否缓和了粮食不安全与儿童超重或肥胖之间的关系?当儿童分别为1、3、5和9岁(n = 1,092)时,使用了四次来自FFCWS的公开可用数据。 BMI百分位用于创建二分法,对于超重或肥胖,BMI的临界值为BMI的85%。家庭风险通过三种方式进行操作和分析:(i)在每一波中分别对财务风险,产妇抑郁和育儿压力进行二项测量;(ii)从婴儿期到五岁的这些特定风险的总数;以及(iii)一个6级家庭风险分类变量(无风险,第1至5年的低风险,仅第1年的高风险,仅第3年的高风险,仅第5年的高风险以及始终为高风险)。这三种方法相互补充。单独的家庭危险因素为潜在的干预措施提供了特定的信息,而单个家庭危险评分在统计上是简约的。同样,分类的家庭风险变量允许检查风险暴露时间的作用。食品项目的参与被分为两部分,其中1表示有计划参与,0表示未参与。粮食不安全状况以美国农业部(USDA)的18个项目为基础,并按四个变量(粮食安全,边际粮食安全,粮食不安全和极度粮食不安全)的序数变量进行衡量。单变量分析显示了样本特征,并将Pearson相关和多色相关应用于检查二元关系。当前的研究包括二分和序数变量,但是Pearson相关性假设变量是连续的并且遵循多元正态分布。因此,进行了两个相关性分析。假设使用广义结构方程模型(GSEM)技术进行测试。通过在第9波的FFCWS数据集中包括可用权重来调整结果,所有GSEM模型都包括低出生体重状态,母乳喂养,先前年龄的儿童超重或肥胖状态(BMI≥85%),母亲的BMI和数量的对照。成人家庭。数据使用STATA 14(StataCorp,2015)进行分析;结果。 36%的儿童在9岁时超重或肥胖,在9岁时超重或肥胖与家庭风险和双变量水平的食品援助收益呈正相关。 GSEM的结果部分支持了研究假设。食物收益是BMI的重要预测指标,但没有假设的那样。根据分析特定家庭风险的模型,财务压力通过获得粮食援助给人们的BMI带来了持续稳定的积极影响。此外,将风险作为综合指标进行分析的模型在9岁时与儿童BMI呈正相关,但通过粮食援助福利间接相关。粮食不安全不会对BMI产生直接或间接的重大影响。此外,统计上没有支持食物支持对食物不安全与儿童超重或肥胖之间关系的调节作用。本文通过多种方式扩展了我们对家庭风险对儿童超重或肥胖的影响的理解。首先,考虑了家庭因素对儿童的影响的途径,而对于介导或调节这种联系的因素知之甚少,尤其是在1至9岁之间。其次,我使用了全国代表性的非婚生子女样本,这些样本来自居住在人口超过200,000的城市的父母,其生育经历了多次浪潮,这可以考虑家庭风险对儿童体重的长期后果的重要性。由于可用数据集中设计和测量的限制,应谨慎解释研究结果。不过这些发现为将来的研究奠定了基础,并对社会福利政策产生了影响。 (摘要由UMI缩短。)。

著录项

  • 作者

    Song, Na Kyoung.;

  • 作者单位

    State University of New York at Albany.;

  • 授予单位 State University of New York at Albany.;
  • 学科 Social work.
  • 学位 Ph.D.
  • 年度 2016
  • 页码 153 p.
  • 总页数 153
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号