Dataset Information

Multilevel Correlates of Healthy BMI Maintenance and Return to a Healthy BMI among Children in Massachusetts.

ABSTRACT:

Objectives

To examine predictors of healthy BMI maintenance (HBM) or return to a healthy BMI (RHB) among children.

Methods

We studied 33,272 children in Massachusetts between 2008 and 2012. We used multinomial logistic regression to examine associations of individual- and neighborhood-level factors with the odds of: (1) HBM: maintenance of a healthy BMI ?5th to <85th percentile and (2) RHB: transition to a healthy BMI range from an initial BMI ?85th percentile between two clinic visits spanning an average of 3.5 years.

Results

Racial/ethnic minorities had lower odds of HBM and RHB than non-Hispanic white children. Higher neighborhood educational attainment was associated with an increased odds of HBM and RHB. Higher neighborhood median household income, proximity to a supermarket, and access to more open recreational space were associated with a higher odds of HBM. Children of ages 2-5 years at baseline had higher odds of RHB and HBM than children 13 years and older.

Conclusions

Early childhood interventions and efforts to create health-promoting neighborhoods including improving access to supermarkets and open recreational space could have important effects on obesity prevention and management.

SUBMITTER: Fiechtner L

PROVIDER: S-EPMC5369391 | biostudies-literature | 2017 Apr

REPOSITORIES: biostudies-literature

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Publications

Multilevel Correlates of Healthy BMI Maintenance and Return to a Healthy BMI among Children in Massachusetts.

Fiechtner Lauren L Cheng Erika R ER Lopez Gabriel G Sharifi Mona M Taveras Elsie M EM

Childhood obesity (Print) 20170111 2

<h4>Objectives</h4>To examine predictors of healthy BMI maintenance (HBM) or return to a healthy BMI (RHB) among children.<h4>Methods</h4>We studied 33,272 children in Massachusetts between 2008 and 2012. We used multinomial logistic regression to examine associations of individual- and neighborhood-level factors with the odds of: (1) HBM: maintenance of a healthy BMI ≥5th to <85th percentile and (2) RHB: transition to a healthy BMI range from an initial BMI ≥85th percentile between two clinic v ...[more]

PMID: 28075151

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Project description:In the last few decades, the prevalence of hypertension has been drastically increased in India. The present study estimates the current prevalence of hypertension and its correlates in the state of Maharashtra. The variation in the prevalence of hypertension associated with individual-level characteristics is explained at the community and district level.Data is used from the recent round of District Level Household & Facility Survey (DLHS-4), 2012-13. The DLHS-4 has used the nationally representative sample, collected through multistage stratified sampling procedure. A similar sampling frame, used in NSSO-2007-08, has been followed. The chi-square test is used to show the significance level of the association between the estimated prevalence of hypertension and its correlates. Multilevel regression analysis is carried out to investigate the effects of individual and community level factors on the prevalence of hypertension.The overall prevalence of hypertension is 25% in Maharashtra, and a huge variation in the prevalence of hypertension is found across the districts. Dhule, Gadchiroli (with a low HDI rank), Mumbai and Satara (with higher HDI rank) are the districts with the higher (above 30%) prevalence of high blood pressure. The prevalence also significantly varies according to different correlates. The prevalence of high blood pressure is higher among elderly population (40%), among males (28%), in the urban areas (27%) and in the richest wealth quintile (28%). The prevalence is also higher among cigarette smokers (31%), alcohol consumers (30%) and people with obesity (38%) as compared to their counterparts. The results of the multilevel analysis show that the older and obese persons are at four-time higher risk of hypertension. Again, age, sex, marital status, place of residence, wealth status, unhealthy habits (i.e. smoking and alcohol consumption) and BMI are significantly associated with hypertension. The results of VPC statistics show that 14% of hypertension prevalence could be attributed to differences at the community level.The prevalence of hypertension largely varies in the districts of Maharashtra irrespective of their level of socio-economic development (i.e. HDI rank). The variation in the rate of prevalence of hypertension is higher in the community (PSU) level as compared to the variation in the prevalence rate at the district level. Hypertension is attributable to the modifiable factors like risky lifestyle practices.

Dataset Information

Multilevel Correlates of Healthy BMI Maintenance and Return to a Healthy BMI among Children in Massachusetts.

Objectives

Methods

Results

Conclusions

Publications

Multilevel Correlates of Healthy BMI Maintenance and Return to a Healthy BMI among Children in Massachusetts.

Similar Datasets

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