孟买和加尔各答青少年及其父母身体质量指数的关系:一项基于人口的研究。

The British journal of translational global health Pub Date : 2024-01-01 Epub Date: 2024-04-30
Namrata Puntambekar, Mangesh S Pednekar, Prakash C Gupta, Maruti B Desai, William J McCarthy, Ritesh Mistry
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引用次数: 0

摘要

导言:在城市人口中,以体重指数(BMI)衡量的青少年超重和肥胖似乎正以惊人的速度增长。父母的体重指数对青少年的体重指数起着重要作用。青少年超重和肥胖与营养不良并存,是中低收入国家(LMICs)面临的一项重要公共卫生挑战。我们在印度孟买和加尔各答开展了一项关于青少年体重指数及其与父母体重指数关系的人群研究:采用多阶段家庭随机抽样的方法,选取了 2019-2020 年间 12-14 岁的青少年及其父母中的一人。在孟买,843 名青少年和在加尔各答,913 名青少年及其父母中的一人接受了训练有素的实地调查人员的独立访谈。采用标准化程序测量了身高和体重。根据美国疾病控制和预防中心(CDC)的建议,对青少年的体重指数(BMI)进行了分类。至于家长的体重指数,则根据亚洲人的截断值分为体重不足(BMI < 18.5)、正常体重(BMI:18.5-22.9)、超重(BMI:23.0-27.0)和肥胖(BMI > 27.0)。多变量逻辑回归用于确定父母体重指数与青少年体重指数之间的关系:在孟买,15.7%的青少年超重或肥胖,在加尔各答,21.1%的青少年超重或肥胖。近 80% 的母亲和 70% 的其他家长超重或肥胖。在对青少年的性别和户主的最高教育程度进行调整后,孟买青少年超重或肥胖母亲的青少年超重[几率比(OR):4.16(1.36-12.73)]或肥胖[OR:18.53(2.02-170.44)]风险较高,加尔各答青少年超重或肥胖母亲的青少年超重[几率比(OR):4.45(1.25-15.80)]和肥胖[OR:8.81(1.40-55.33)]风险较高:结论:在印度城市,青少年的超重/肥胖状况与其母亲的体重指数密切相关。这种关联可能反映了遗传和环境的双重影响。本研究凸显了这些城市人口中青少年超重和肥胖的高发率,并强调了确定有效的公共卫生策略对初级预防儿童肥胖症的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Association of Body Mass Index between Adolescents and their Parents in Mumbai and Kolkata: A Population-based Study.

Introduction: Adolescent overweight and obesity as measured by body mass index (BMI) seem to be increasing at an alarming rate in urban populations. Parental BMI plays an important role in their adolescent's BMI. Overweight and obesity coexisting with undernutrition in adolescents is an important public health challenge in low- and middle-income countries (LMICs). We present results from a population-based study on adolescents' prevalence of BMI and its association with their parents' BMI in Mumbai and Kolkata, India.

Methods and materials: Multistage random sampling of households was used to select adolescents aged 12-14 years and one of their parents in 2019-2020. In Mumbai, 843 adolescents, and in Kolkata, 913 adolescents and one of their parents were interviewed independently by trained field investigators. Height and weight were measured using standardized procedures. Adolescents' BMI categories were defined using Centers for Disease Control and Prevention (CDC) recommendations. For parents, the BMI was categorized using Asian cut-off categories into underweight (BMI < 18.5), normal weight (BMI: 18.5-22.9), overweight (BMI: 23.0-27.0), and obese (BMI > 27.0). Multivariate logistic regression was used to determine the relationship between parental BMI and adolescents' BMI.

Results: In Mumbai, 15.7% and in Kolkata, 21.1% of adolescents were overweight or obese. Nearly 80% of mothers and 70% of other parents were either overweight or obese. The mothers of adolescents who were overweight or obese showed a high risk of their adolescent being overweight [odds ratio (OR): 4.16 (1.36-12.73)] or obese [OR: 18.53 (2.02-170.44)] in Mumbai and [OR: 4.45 (1.25-15.80)] and [OR: 8.81 (1.40-55.33)] in Kolkata respectively after adjusting for adolescent's gender and head of the household's highest level of educational attainment.

Conclusion: Adolescents' overweight/obesity status is strongly associated with their mothers' BMI in urban India. This association may reflect both genetic and environmental effects. The present study highlights the high prevalence of adolescent overweight and obesity in these urban populations and underscores how important it is to identify effective public health strategies for the primary prevention of childhood obesity.

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