Wang Miao, Tian Dawei, Han Jinlin, Chen Ning, Wu Humeng
Miao Wang Department of Paediatrics, Maternity & Child Care Center of Qinhuangdao, Qinhuangdao 066000, Hebei, China.
Dawei Tian Department of Paediatrics, Maternity & Child Care Center of Qinhuangdao, Qinhuangdao 066000, Hebei, China.
Pak J Med Sci. 2025 May;41(5):1499-1505. doi: 10.12669/pjms.41.5.10287.
To investigate the clinical symptoms and conduct an epidemiological survey of early-onset severe obesity among children and adolescents in Qinhuangdao City of China from 2022 to 2023.
This was a retrospective study two-hundred and fifty children and adolescents diagnosed with early-onset severe obesity from August 2022 to August 2023 at Maternity & Child Care Center of Qinhuangdao were selected as subjects; additionally, two-hundred and fifty cases of healthy children and adolescents undergoing routine medical examinations in the same period were selected as the non-obese group in a 1:1 ratio. Logistic regression analysis was employed to identify factors associated with the occurrence of early-onset severe obesity among children and adolescents.
Predominantly, early-onset severe obesity was observed in individuals aged over 14 years, females, those from families with a monthly income per capita of 5000 RMB, and children of obese parents or parents with lower educational levels. The binary logistic regression model identified several significant predictors of severe obesity, including parental obesity, maternal education level (junior high school and above), paternal education level (junior high school and above), non-picky eating habits, eating speed (faster), eating habits, daily outdoor activity duration (>1 hour), and average daily sleep duration (>8 hours) (p<0.05).
Parental obesity, maternal education level (junior high school and above), paternal education level (junior high school and above), eating habits, daily outdoor activity duration (>1 hour), and average daily sleep duration (>8 hours) may be significant factors influencing the occurrence of severe obesity in children and adolescents.
调查2022年至2023年中国秦皇岛市儿童和青少年早发性重度肥胖的临床症状并进行流行病学调查。
本研究为回顾性研究,选取2022年8月至2023年8月在秦皇岛市妇幼保健中心诊断为早发性重度肥胖的250名儿童和青少年作为研究对象;另外,同期选取250名进行常规体检的健康儿童和青少年作为非肥胖组,按1:1比例配对。采用Logistic回归分析确定儿童和青少年早发性重度肥胖发生的相关因素。
早发性重度肥胖主要见于14岁以上人群、女性、家庭人均月收入5000元的人群、父母肥胖或父母教育水平较低的儿童。二元Logistic回归模型确定了几个重度肥胖的重要预测因素,包括父母肥胖、母亲教育水平(初中及以上)、父亲教育水平(初中及以上)、不挑食的饮食习惯、进食速度(较快)、饮食习惯、每日户外活动时间(>1小时)和平均每日睡眠时间(>8小时)(p<0.05)。
父母肥胖、母亲教育水平(初中及以上)、父亲教育水平(初中及以上)、饮食习惯、每日户外活动时间(>1小时)和平均每日睡眠时间(>8小时)可能是影响儿童和青少年重度肥胖发生的重要因素。