肥胖青少年的人口学特征和体重指数

Nur Aisiyah Widjaja, R. Prihaningtyas, Meta Herdiana Hanindita, R. Irawan
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引用次数: 1

摘要

背景:印度尼西亚青少年肥胖的患病率正在上升。肥胖会降低生活质量,尤其是大多数肥胖的青少年在成年后仍然肥胖。在肥胖青少年中,他们的IMT(内膜-中膜厚度)越高,成年后患心血管疾病的风险就越高。目的:本研究的目的是分析人口统计学特征与青少年肥胖体重指数(BMI)的相关性。方法:本研究是在泗水Soetomo综合医院儿科营养与代谢疾病诊所进行的一项针对肥胖青少年的横断面研究。采用访谈法收集人口统计学特征数据,如性别、兄弟姐妹数量、父亲受教育程度、母亲受教育程度、母亲职业等。收集人体测量数据计算BMI。根据疾病预防控制中心的BMI百分位数,根据年龄和性别,如果高于第95个百分位数,则确定为肥胖。数据采用多元回归分析。结果:共涉及59名13至16岁的肥胖青少年。多达49.20%的受访者有一个兄弟姐妹。52.50%的受访者的父亲受过高中教育,44.10%的受访者的母亲受过高中教育;61%的受访者有职业母亲。除兄弟姐妹数外,BMI与人口学特征无相关性(p < 0.05)。结论:本研究中,兄弟姐妹数量与BMI存在相关性。需要对更多的肥胖青少年和营养状况正常的青少年进行研究,以充分评估人口统计学特征对肥胖青少年BMI的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DEMOGRAPHIC CHARACTERISTICS AND BODY MASS INDEX IN OBESE ADOLESCENTS
Background: The prevalence of adolescent obesity is increasing in Indonesia. Obesity can reduce the quality of life, especially as most obese adolescents remain obese after they become adult. In obese adolescents, the higher their IMT (intima-media thickness), the higher the risk of cardiovascular disease in adulthood. Purpose: The aim of this study is to analyse the correlation of demographic characteristics with BMI (body mass index) in adolescents with obesity. Methods: This study is a cross-sectional study on adolescents with obesity conducted in the Paediatric Nutrition and Metabolic Disease Clinic of Dr Soetomo General Hospital, Surabaya. The data on demographic characteristics, such as gender, number of siblings, paternal education, maternal education, and maternal occupation, were collected using the interview method. Data on anthropometry were collected to calculate BMI. Obesity is established if it is higher than the 95th percentile, based on CDC percentile of BMI, according to age and sex. Data were analysed using multiple regression. Results: A total of 59 obese adolescents, between 13 and 16 years old, were involved. As many as 49.20% of respondents had one sibling. As many as 52.50% of respondents had a father with a high school education and 44.10% of respondents had mothers with a high school education; 61% of respondents had working mothers. There was no correlation between BMI and demographic characteristics (p> 0.05), except for number of siblings (p = 0.02). Conclusion: In this study, the number of siblings was correlated with BMI. A study with a greater number of obese adolescents and with adolescents who have normal nutritional status is needed to fully assess the influence of demographic characteristics on BMI in obese adolescents.
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