Structural equation modeling of the associations between the home environment and obesity-related cardiovascular fitness and insulin resistance among Hispanic children.

Structural equation modeling of the associations between the home environment and obesity-related cardiovascular fitness and insulin resistance among Hispanic children.
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DOI:
10.1016/j.appet.2016.02.003
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发表时间:
2016-06-01
期刊:
影响因子:
5.4
通讯作者:
Schoeller DA
Schoeller DA
中科院分区:
医学2区
文献类型:
--
作者:
Santiago-Torres M;Cui Y;Adams AK;Allen DB;Carrel AL;Guo JY;LaRowe TL;Schoeller DA

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使用结构方程模型 (SEM) 检查家庭环境 (HE)、饮食和体力活动 (PA) 因素与西班牙裔儿童肥胖、心血管健康 (CVF) 和胰岛素抵抗 (IR) 指标之间的关联。 HE、饮食和 PA 因素与儿童代谢健康的横断面分析。美国威斯康星州城市社区学校。共有 187 名西班牙裔儿童及其家长参加。儿童报告他们的饮食和 PA,家长通过自填问卷报告 HE。结果变量通过人体测量学进行测量,CVF 使用渐进式有氧心血管耐力跑 (PACER) 进行评估。 IR 是通过参加一次性抽血测定空腹血糖和胰岛素浓度的儿童亚组 (n=99) 中的胰岛素抵抗稳态模型评估 (HOMAIR) 来确定的。父母锻炼 (β=0.33)、家庭 PA 设备可用性 (β=0.20) 和含糖饮料 (SSB) (β=0.19) 均分别与儿童 PA 和 SSB 消耗量相关。儿童的 SSB 消耗量 (β=0.15) 与 BMI z 分数相关,而 BMI z 分数又与 HOMAIR (β=0.61) 相关。相比之下,儿童的 PA (β=0.17) 与 PACER z 分数相关,而 PACER z 分数又与 HOMAIR (β=−0.18) 呈负相关。 SEM 指数表明模型拟合令人满意(卡方,X2 = 53.1,比较固定指数 = 0.92,相关均方根误差 = 0.04)。 SEM 的研究结果证实,有必要将干预工作集中在家庭层面,教育家长如何针对西班牙裔儿童的不良饮食习惯和低 PA 水平制定更健康的 HE,这些儿童受肥胖相关 IR 的影响尤为严重。
To use the Structural Equation Modeling (SEM) to examined the associations between the home environment (HE), diet and physical activity (PA) factors with Hispanic children’s obesity, cardiovascular fitness (CVF), and insulin resistance (IR) measures. Cross-sectional analyses of the HE, diet and PA factors with children’s metabolic health. Urban Community School, Wisconsin, USA. A total of 187 Hispanic children and their parents participated. Children’s reported their diet and PA, and parents reported on the HE through self-administered questionnaires. Outcome variables were measured anthropometrics, CVF assessed using the Progressive Aerobic Cardiovascular Endurance Run (PACER). IR was determined with the homeostasis model assessment of insulin resistance (HOMAIR) in a subgroup of children (n=99) who participated in a one-time blood draw for fasting glucose and insulin concentrations. Parents exercise (β=0.33), home availability of PA equipment (β=0.20) and sugar-sweetened beverages (SSB) (β=0.19) were all associated with children’s PA and SSB consumption, respectively. Children’s SSB consumption (β=0.15) was associated with BMI z-score, which in turn, was associated with HOMAIR (β=0.61). In contrast, children’s PA (β=0.17) was associated with PACER z-score, which in turn was inversely associated with HOMAIR (β=−0.18). The SEM indices suggested a satisfactory model fit (Chi-square, Χ2 =53.1, comparative fix index=0.92, root-mean-squared error associated=0.04). The SEM findings confirm the need to focus intervention efforts at the family level where parents are educated on making a healthier HE targeting poor diet and low levels of PA among Hispanic children who are disproportionally affected by obesity-related IR.
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