Zong X N, Li H, Zhang Y Q
Department of Growth and Development,Capital Institute of Pediatrics,Beijing 100020,China.
Zhonghua Liu Xing Bing Xue Za Zhi. 2022 Jan 10;43(1):50-57. doi: 10.3760/cma.j.cn112338-20210407-00284.
To examine risk factors of simple obesity and their interaction in preschool children in China. A total of 63 292 preschool children aged 3-7 years selected by cluster random sampling in 9 cities of China, including Beijing, Harbin, Xi'an, Shanghai, Nanjing, Wuhan, Guangzhou, Fuzhou and Kunming, were investigated from June to November in 2016. Based on the BMI-for-age cut off points of overweight and obesity for Chinese children aged 2-18 years, a total of 1 522 obese children (1 006 boys and 516 girls) were screened. By population-based matched case-control design, a normal weight child was randomly selected to match with an obese child by sex, age (difference ≤6 months) and body height (difference ≤5 cm) from the survey area. Conditional logistic regression model was used to analyze association of risk factors with obesity and the interaction of risk factors. ① Univariate conditional logistic regression model showed that 17 risk factors of simple obesity had statistical significance (<0.001), including high birth weight, cesarean section, gestational diabetes, gestational hypertension, formula feeding in the first 6 months after birth, strong appetite, fast or slow eating speed, low intensity of outdoor activities, daily outdoor activity time <1 hour, daily screen viewing time < 1 hour or ≥2 hours, daily night sleep time <9 hours, mother overweight, father overweight, mother's low educational level, father's low educational level, non-nuclear family structure, and parents not being the primary caregivers of children. ②Multivariate conditional logistic regression model showed that 12 risk factors had statistical significance, including high birth weight (=1.83, 95%:1.29-2.61, <0.001), cesarean section (=1.22, 95%:1.07-1.39, =0.003), gestational diabetes (=4.57, 95%:2.13-9.79, <0.001), mother's low educational level (=1.52, 95%:1.11-2.07, =0.008), single parent family (=4.79, 95%:1.44-15.88, =0.010), mother overweight (=2.58, 95%:1.93-3.46, <0.001), father overweight (=2.40, 95%:1.86-3.10, <0.001), strong appetite (=7.78, 95%:5.38-11.27, <0.001), fast eating speed (=6.59, 95%:4.86-8.94, <0.001), daily outdoor activity time <1 hour (=1.42, 95%: 1.09-1.85, =0.009), daily night sleep time <9 hours (=1.59, 95%: 1.13-2.23, =0.007), daily screen viewing time ≥2 hours (=1.69, 95%:1.27-2.24, <0.001). ③ Interaction of the four groups of risk factors had statistical significance, including interaction between mother overweight and father overweight (=5.53, 95%: 3.76-8.13, <0.001), interaction between strong appetite and fast eating speed (=54.48, 95%: 32.95-90.06, <0.001), interaction between low intensity of outdoor activity and daily outdoor activity time <1 hour (=2.12, 95%: 1.29-3.48, =0.002), interaction between daily night sleep time <9 hours and daily screen viewing time ≥2 hours (=2.83, 95%: 1.71-4.68, <0.001). This study identified 12 risk factors of childhood obesity, including high birth weight, cesarean section, gestational diabetes, mother's low educational level, single parent family, mother overweight, father overweight, strong appetite, fast eating speed, daily short outdoor activity time, daily short night sleep time, daily long screen viewing time, and interaction of the four groups of risk factors had statistical significance, including strong interaction between mother overweight and father overweight, interaction between strong appetite and fast eating speed, interaction between low intensity of outdoor activity and daily short outdoor activity time, interaction between daily short night sleep time and daily long screen viewing time.
为探讨中国学龄前儿童单纯性肥胖的危险因素及其交互作用。2016年6月至11月,对通过整群随机抽样在中国9个城市(包括北京、哈尔滨、西安、上海、南京、武汉、广州、福州和昆明)选取的63292名3 - 7岁学龄前儿童进行了调查。根据中国2 - 18岁儿童年龄别BMI超重和肥胖切点,共筛查出1522名肥胖儿童(1006名男孩和516名女孩)。采用基于人群的匹配病例对照设计,从调查地区随机选取一名正常体重儿童,按性别、年龄(相差≤6个月)和身高(相差≤5 cm)与一名肥胖儿童进行匹配。采用条件logistic回归模型分析危险因素与肥胖的关联以及危险因素之间的交互作用。①单因素条件logistic回归模型显示,单纯性肥胖的17个危险因素具有统计学意义(<0.001),包括出生体重高、剖宫产、妊娠期糖尿病、妊娠期高血压、出生后前6个月人工喂养、食欲旺盛、进食速度快或慢、户外活动强度低、每日户外活动时间<1小时、每日屏幕观看时间<1小时或≥2小时、每日夜间睡眠时间<9小时、母亲超重、父亲超重、母亲教育程度低、父亲教育程度低、非核心家庭结构以及父母不是儿童的主要照顾者。②多因素条件logistic回归模型显示,12个危险因素具有统计学意义,包括出生体重高(=1.83,95%:1.29 - 2.61,<0.001)、剖宫产(=1.22,95%:1.07 - 1.39,=0.003)、妊娠期糖尿病(=4.57,95%:2.13 - 9.79,<0.001)、母亲教育程度低(=1.52,95%:1.11 - 2.07,=0.008)、单亲家庭(=4.79,95%:1.44 - 15.88,=0.010)、母亲超重(=2.58,95%:1.93 - 3.46,<0.001)、父亲超重(=2.40,95%:1.86 - 3.10,<0.001)、食欲旺盛(=7.78,95%:5.38 - 11.27,<0.001)、进食速度快(=6.59,95%:4.86 - 8.94,<0.001)、每日户外活动时间<1小时(=1.42,95%:1.09 - 1.85,=0.009)、每日夜间睡眠时间<9小时(=