Food, activity and family -: environmental vs biochemical predictors of weight gain in children
Food, activity and family -: environmental vs biochemical predictors of weight gain in children
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DOI：
10.1038/sj.ejcn.1601677
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发表时间：
2003-10-01
影响因子：
4.7
通讯作者：
Bermingham, MA
中科院分区：
文献类型：
--
作者：
Bogaert, N;Steinbeck, KS;Bermingham, MA
目的：确定能量摄入和消耗的测量是否可以预测儿童随着时间的推移体重过度增加，并描述这些测量与父母的类似测量之间的关系。设计：前瞻性、描述性研究，为期12个月，无干预。单位：大学教学医院。研究对象：年龄在6.0 - 9.0岁之间的儿童。招募方式为广告。共有59名儿童（30名F）， 41名母亲和29名父亲。总共有41名（69%）儿童在12个月（20岁）时接受了评估。结果：12个月以上儿童的体重指数（BMI） z-score变化与任何饮食变量或任何能量消耗指标（包括看电视的时间或进行低、中、高强度活动的时间百分比）之间没有明显的相关性。BMI z-score在12个月内的变化与LDL胆固醇和Apo B/ApoA-1比值显著相关，与体脂百分比无关（r = 0.45, P = 0.01; r = 0.37, P = 0.03）。母亲和女孩在中度到高强度运动中所占的时间百分比（r = 0.44, P = 0.03）和父亲和孩子在低强度运动中所占的时间百分比（r = 0.43, P = 0.005）之间存在显著的正相关。结论：这项研究还不能确定环境因素是否表明随着时间的推移，这组儿童的体重增加更快，但已经扩展了生活方式影响生化预测的证据。这一年龄组总体上缺乏剧烈运动，以及父母和儿童活动与不活动之间的相关性已被确定。
Objective: To identify whether measures of energy intake and expenditure predict excessive weight gain over time in children and to describe how these measures relate to similar measures in parents.Design: Prospective, descriptive study over 12 months with no intervention.Setting: University teaching hospital.Subjects: Children aged between 6.0 and 9.0 y. Recruitment was through advertisement. A total of 59 children (30 F), 41 mothers and 29 fathers. In all, 41 (69%) of the children were reviewed at 12 months (20 F).Results: No significant correlations were identified between body mass index (BMI) z-score change in children over 12 months for any dietary variable or for any measures of energy expenditure, including hours of television viewing or percent time spent in low-, moderate- or high-intensity activity. The BMI z-score change over 12 months was significantly correlated with LDL cholesterol and Apo B/ApoA-1 ratio, independent of percent body fat (r = 0.45, P = 0.01; r = 0.37, P = 0.03). A significant positive correlation was found for mothers and girls for percent time in moderate to high activity (r = 0.44, P = 0.03) and between fathers and children for percent time spent in low activity (r = 0.43, P = 0.005).Conclusions: The study has been unable to identify environmental predictors that indicate propensity to faster weight gain over time in this cohort of children, but has extended the evidence on lifestyle-influenced biochemical predictors that do. An overall lack of vigorous activity in this age group, and correlations between parental and child activity and inactivity have been identified.