Department of Nutritional Sciences, Rutgers University, 26 Nichol Avenue, New Brunswick, NJ 08901, USA.
Department of Biological Sciences, Kean University, 1000 Morris Avenue, Union, NJ 07082, USA.
Nutrients. 2018 Jun 17;10(6):781. doi: 10.3390/nu10060781.
This cross-sectional, exploratory study aimed to (1) develop an obesity risk score using a comprehensive set of variables assessing mothers’ intrapersonal weight-related characteristics and those of their homes’ interpersonal and physical environments, and (2) determine how weight-related characteristics differ by obesity risk level. U.S. mothers ( = 550) of preschool-aged children completed an online survey that assessed maternal self-report weight status, sociodemographics, health-related characteristics, and maternal intrapersonal and their homes’ interpersonal and physical environment weight-related characteristics. Binomial logistic regression analysis identified variables significantly associated with obesity. Scores for all obesity risk variables were summed to create a weighted obesity risk score for non-obese participants ( = 386). Analysis of variance and Tukey post-hoc tests determined how non-obese mothers’ sociodemographic, health-related, and intrapersonal and their homes’ interpersonal and physical environment characteristics differed among obesity risk score tertiles. Results revealed that eight variables explained 53 percent of maternal obesity risk, including African American race, lower education level, more children in household, poorer maternal health, higher weight teasing history, higher body dissatisfaction, primary relative with obesity, and greater concern about children’s overweight risk. Non-obese mothers in the highest obesity risk tertile had greater food insecurity risk, lower family affluence, worse sleep quality, less fruit/vegetable availability, and reported less frequent modeling of healthy behaviors and more family conflict. In conclusion, eight characteristics that explained more than half of the risk for obesity in non-obese mothers of young children, may help healthcare professionals identify mothers at increased risk of obesity and offer preventive care early.
(1) 使用一套全面的评估母亲内在体重相关特征以及家庭人际和物理环境的变量,开发肥胖风险评分;(2) 确定体重相关特征如何根据肥胖风险水平而有所不同。美国学龄前儿童的母亲(=550 人)完成了一项在线调查,评估了母亲的自我报告体重状况、社会人口统计学、健康相关特征以及母亲内在和家庭人际和物理环境的体重相关特征。二项逻辑回归分析确定了与肥胖显著相关的变量。将所有肥胖风险变量的分数相加,为非肥胖参与者(=386 人)创建加权肥胖风险评分。方差分析和 Tukey 事后检验确定了肥胖风险评分三分位数的非肥胖母亲的社会人口统计学、健康相关、内在和家庭人际及物理环境特征如何存在差异。结果表明,有八个变量解释了 53%的母亲肥胖风险,包括非裔美国人种族、较低的教育水平、家庭中孩子较多、母亲健康状况较差、体重嘲笑史较高、身体不满程度较高、主要亲属肥胖以及对子女超重风险的担忧程度较高。肥胖风险最高三分位数的非肥胖母亲的食物不安全风险较高、家庭富裕程度较低、睡眠质量较差、水果/蔬菜供应较少,并且报告健康行为的频率较低、家庭冲突较多。总之,这八个特征解释了非肥胖幼儿母亲肥胖风险的一半以上,可能有助于医疗保健专业人员识别肥胖风险增加的母亲,并尽早提供预防保健。