Abstract

Using quantile regression analysis, the current study, conducted within the framework of the Tehran Lipid and Glucose Study (TLGS) aimed to assess the effects of parental risk clusters on different percentiles of Body Mass Index (BMI) distribution in children. Participants included 2296 school-aged children who had participated in the baseline assessment of the TLGS and were followed for an approximate duration of fifteen years. Parental socio-demographic, behavioral and clinical characteristics were considered to determine risk clusters. Comparing of the high- to the low-risk parental clusters showed that after adjusting for age in boys, BMI was significantly higher at the 75th (1.82, p = 03), 85th (1.78, p = 0.007) and 95th (1.66, p = 0.03) percentiles; and in girls it was significantly higher at the 25th (1.45, p = 0.003), 50th (1.05, p = 0.015), 95th (2.31, p = 0.018) and 97th (2.44, p = 0.006) percentiles in the high risk cluster. Our data indicate that during a long-term follow up, children with a high-risk family are more likely to have higher BMI, compared to their counterparts in low-risk families, a difference observed mainly at the upper percentiles of BMI distribution for both genders and at all ages, findings that should be considered for strategies aimed at preventing childhood obesity and its consequences.

Highlights

  • Using quantile regression analysis, the current study, conducted within the framework of the Tehran Lipid and Glucose Study (TLGS) aimed to assess the effects of parental risk clusters on different percentiles of Body Mass Index (BMI) distribution in children

  • Numerous studies[16,17,18,19] have aimed at investigating the association between parental factors and different percentiles of BMI, for upper percentiles, using the quantile regression model, which has been considered as an effective analytical method for modeling quantiles of BMI distribution directly[19]

  • Considering the risk of overweight development, children in a specific cluster are similar in parental characteristics, whereas those in two different clusters differ in these characteristics

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Summary

Introduction

The current study, conducted within the framework of the Tehran Lipid and Glucose Study (TLGS) aimed to assess the effects of parental risk clusters on different percentiles of Body Mass Index (BMI) distribution in children. Based on the results of a nationwide study conducted on 7908 adolescents, aged 11–19 years, parental overweight and obesity, education as well as the father’s job were the main influential factors of parental determinants of overweight in Iranian adolescents[13] Despite these well documented associations between parental factors and their children’s overweight, data available are mainly the results that have emerged from interpretation of children’s Body Mass Index (BMI) status, mostly defined according to the 85th or 95th BMI percentiles of international or national reference charts[15]. Numerous studies[16,17,18,19] have aimed at investigating the association between parental factors and different percentiles of BMI, for upper percentiles, using the quantile regression model, which has been considered as an effective analytical method for modeling quantiles of BMI distribution directly[19]

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