Body mass index in families: spousal correlation, endogeneity, and intergenerational transmission

Abrevaya, Jason; Tang, Hongfei

doi:10.1007/s00181-010-0403-6

Cited by 28 publications

(21 citation statements)

References 22 publications

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“…This relationship is much stronger when we restrict the sample to mothers with morbid obesity, where the percentage‐point difference in the probability of being an adolescent with obesity is estimated to be 0.144. In addition, we estimate that the intergenerational elasticity of the BMI between mother and adolescent is 0.242, which is consistent with estimates from other countries (Whitaker et al , ; Abrevaya & Tang, ; Murrin et al , ; Dolton & Xiao, , ). When we account for adolescent‐specific fixed effects, the estimated elasticity reduces to 0.043.…”

Section: Introductionsupporting

confidence: 90%

“…Our most extensive model returns an intergenerational elasticity estimate of 0.242, with a standard error of 0.017. Murrin et al () estimated 0.20 for Ireland, Whitaker et al () estimated 0.27 for England, Dolton and Xiao () estimated 0.141 for China, and Abrevaya and Tang () estimated a range between 0.22 and 0.25 for the USA. More recent work by Dolton and Xiao () showed a range of estimates between 0.117 in Mexico to 0.215 in China, with elasticity estimates for Indonesia, the UK (two different cohorts), the USA and Spain falling in between.…”

Section: Discussionmentioning

confidence: 99%

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Intergenerational Transmission of Body Mass and Obesity Status in Australia

2020

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We estimate the intergenerational transmission of the body‐mass index (BMI) and obesity status using the Household, Income and Labour Dynamics in Australia Survey. The intergenerational elasticity of BMI between mother and adolescent is 0.242, which is consistent with estimates from other countries. Controlling for adolescent‐specific fixed effects reduces the estimated elasticity to 0.043. This suggests that genetics and the permanent environment may explain much of the observed persistence of BMI across generations. Adolescents in Australia whose mothers are obese are expected to have an increased probability of being obese themselves by 0.094 percentage points, where the adolescent obesity prevalence rate is 7.70 per cent. This intergenerational persistence in obesity status is much stronger when the mother is morbidly obese. The degree of intergenerational persistence of BMI and obesity status exhibits a socioeconomic gradient: the transmission is stronger among disadvantaged households than better‐off households. When coupled with prevailing socioeconomic disparities in obesity rates specifically and health status generally, this dynamic feature of Australian society may further contribute to the inequity in health outcomes in the future.

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Section: Introductionsupporting

confidence: 90%

Section: Discussionmentioning

confidence: 99%

Intergenerational Transmission of Body Mass and Obesity Status in Australia

2020

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“…The parents’ BMI are expected to be highly correlated, but no multicollinearity diagnostic was performed to investigate and discuss the potential impact of multicollinearity in the instability of the estimated coefficients when BMIs from both parents were kept in the regression model. Numerous studies [18–22] have shown that BMIs of spouses are correlated possibly due to the shared environment and the change in the coefficient estimate may be due to collinearity between the BMIs of spouses. Similarly, Desai et al [23] investigated independent effects of selected variables on diastolic dysfunction as an outcome variable, defined as severe-diastolic dysfunction versus normal diastolic function, using polytomous logistic regression analysis [23].…”

Section: Introductionmentioning

confidence: 99%

Multicollinearity in Regression Analyses Conducted in Epidemiologic Studies

Vatcheva¹,

Lee

McCormick³

et al. 2016

Epidemiology

715

533

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The adverse impact of ignoring multicollinearity on findings and data interpretation in regression analysis is very well documented in the statistical literature. The failure to identify and report multicollinearity could result in misleading interpretations of the results. A review of epidemiological literature in PubMed from January 2004 to December 2013, illustrated the need for a greater attention to identifying and minimizing the effect of multicollinearity in analysis of data from epidemiologic studies. We used simulated datasets and real life data from the Cameron County Hispanic Cohort to demonstrate the adverse effects of multicollinearity in the regression analysis and encourage researchers to consider the diagnostic for multicollinearity as one of the steps in regression analysis.

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“…13 Essa abordagem que obedece a um padrão empírico e específico para cada idade e 12 O cálculo desse indicador é dado por: IMC = peso/(altura 2 ) , com o peso expresso em quilograma (kg) e a altura em metro (m). 13 Abrevaya & Tang (2010) realçam que as condições nutricionais das crianças são determinadas primariamente por fatores genéti-cos e pelo ambiente comum (hábitos saudáveis, questões locacionais, peer-effects, entre outros). No entanto, para eles a taxa de crescimento de indivíduos com excesso de peso nos últimos anos indica que o fator ambiente comum vem assumindo um maior grau de importância.…”

Section: Indicadores De Exposição Aos Fatores De Risco Comportamentaisunclassified

Efeitos da exposição aos fatores de risco comportamentais à saúde sobre o atraso escolar no Brasil

Almeida

Júnior

2016

Revista Brasileira De Economia

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Este trabalho objetiva avaliar o papel da exposição de alunos aos fatores de risco comportamentais à saúde -cigarro, bebida alcoólica e excesso de peso -no resultado educacional no Brasil. Para tanto, os microdados da Pesquisa Nacional de Saúde do Escolar (PENSE) 2012 em conjunto com técnicas paramétricas e não-paramétricas são utilizados para a estimação do efeito da exposição a esses fatores sobre o indicador de atraso escolar de discentes no 9º ano do ensino fundamental. Os principais resultados da pesquisa indicam que a exposição aos fatores de risco se relaciona de forma direta com o atraso escolar, sendo os efeitos mais intensos para os estudantes com pior nível socioeconômico. Esses achados sugerem a importância de políticas públicas que promovam a prevenção desses fatores de risco desde a infância, pois as consequências dessas exposições podem gerar desdobramentos não apenas na saúde mas também no componente educacional do capital humano.

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Body mass index in families: spousal correlation, endogeneity, and intergenerational transmission

Abstract: Body mass index, Endogeneity, Familial correlation, I10, I12,

Cited by 28 publications

References 22 publications

Intergenerational Transmission of Body Mass and Obesity Status in Australia

Intergenerational Transmission of Body Mass and Obesity Status in Australia

Multicollinearity in Regression Analyses Conducted in Epidemiologic Studies

Efeitos da exposição aos fatores de risco comportamentais à saúde sobre o atraso escolar no Brasil

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