Continued Decline in Obesity and Severe Obesity Prevalence Among New York City Public School Youth in Grades K‐8: 2011‐2017

Day, Sophia E.; D’Agostino, Emily M.; Huang, Terry T.‐K.; Larkin, Michael; Harr, Lindsey; Konty, Kevin

doi:10.1002/oby.22732

Cited by 12 publications

(29 citation statements)

References 14 publications

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“…Demographic data included student sex (male/female), race/ethnicity (Asian Pacific Islander/Black non-Hispanic/ White non-Hispanic, Native American or Alaskan Indian, Hispanic), age in years (continuous), grade (kindergarten through twelfth), eligibility for free/reduced lunch (yes/ no), and English language learner status (yes/no). BMI zscore was calculated from height, weight, and sex per standard procedures using Centers for Disease Control and Prevention growth charts [47]; BMI z-score data and calculation methods for youth attending NYC public schools have been published elsewhere [48][49][50].…”

Section: Methodsmentioning

confidence: 99%

“…NYC Fitnessgram data included youth attending NYC public schools from kindergarten through twelfth grade from school year 2006/2007 through school year 2016/ 2017 [49,53,54], of which 532,513 had home address data. Eligibility criteria for this study included a) moving to a higher or lower poverty neighborhood at the approximate midpoint [school year 2010/2011 through 2013/2014] of the twelve year data period and b) not missing demographic data required for propensity score application [described below].…”

Section: Samplementioning

confidence: 99%

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The impact of change in neighborhood poverty on BMI trajectory of 37,544 New York City youth: a longitudinal study

et al. 2020

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Background Neighborhood poverty may increase childhood obesity risk. However, evidence for the neighborhood poverty-obesity relationship is limited. The purpose of this study was to examine how moving to a higher or lower poverty neighborhood impacts body mass index (BMI) z-score trajectories among youth, with the goal of informing policy change, interventions, and clinical practices to reduce childhood obesity. Methods Methods entailed secondary analysis of existing longitudinal data. The sample included youth attending New York City public schools in grades kindergarten through twelfth from school years 2006/2007 through 2016/2017. Eligibility criteria included moving to a higher or lower poverty neighborhood during the data midpoint [school years 2010/2011 through 2013/2014] of the 12-year data-period; New York City-specific metrics were used to define both neighborhood (Neighborhood Tabulation Area) and relevant neighborhood poverty levels (< 5, 5 to < 10%, 10 to < 20%, 20 to < 30%, 30 to < 40% and ≥ 40% of individuals below Federal Poverty Level). Two-piece latent growth curve models were used to describe BMI z-score trajectories of youth who moved to higher versus lower poverty neighborhoods, with propensity score weighting to account for preexisting differences between the two groups. Primary analyses were stratified by sex and exploratory subgroup analyses were stratified by sex and developmental stage (early childhood, middle childhood, and adolescence) to explore sensitive periods for neighborhood poverty exposure. Results Of 532,513 youth with home address data, 18,370 youth moved to a higher poverty neighborhood and 19,174 moved to a lower poverty neighborhood (n = 37,544). Females and males who moved to a higher poverty neighborhood experienced less favorable BMI z-score trajectories for obesity risk, though effects were small. Exploratory subgroup analyses demonstrated that negative effects of neighborhood poverty were most pronounced among young and adolescent females and young males, whereas effects were mixed for other subgroups. Conclusions Youth who moved to higher poverty neighborhoods experienced less favorable BMI z-score trajectories for obesity risk, though effects were small and most consistent for females and younger youth. Additional research is needed to illuminate neighborhood poverty’s impact on obesity, in order to inform policy, intervention, clinical, and research efforts to reduce obesity and improve child well-being.

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Section: Methodsmentioning

confidence: 99%

Section: Samplementioning

confidence: 99%

The impact of change in neighborhood poverty on BMI trajectory of 37,544 New York City youth: a longitudinal study

et al. 2020

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“…Data for this study were drawn from the NYC Fitnessgram dataset jointly managed by NYC Department of Education (DOE) and DOHMH, and have been described elsewhere. 20, 26-29 Briefly, teachers collected child-level student height and weight annually in NYC public schools. Students’ height and weight measurements were taken annually during physical education classes among K-12 students as part of the NYC Fitnessgram curriculum using a standard protocol.…”

Section: Methodsmentioning

confidence: 99%

“…In New York City (NYC), one of the most urban and diverse areas in the U.S., statistically significant decreases are reported in the prevalence of obesity among Latino children, from 21.9% in 2006-07 to 20.2% in 2016-17. 20 Yet, significant disparities remain among Latinos relative to their non-Latino white counterparts despite a comprehensive approach to curb obesity by the NYC Departments of Health and Mental Hygiene (DOHMH) and Education (DOE) among vulnerable communities of color. 21-23 In this paper, we examined heterogeneity in obesity risk among Latino children attending NYC public schools by POB, while accounting for important individual and neighborhood level SES and sociocultural factors associated with obesity risk among Latino adults.…”

Section: Introductionmentioning

confidence: 99%

Latino children’s obesity risk varies by place of birth: Findings from New York City public school youth, 2006-2017

Flórez

Day

Huang

et al. 2021

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Introduction: Research showing Place of Birth (POB) predicts excess weight gain and obesity risk among Latino adults has not prompted similar research in Latino children, although childhood is a critical period for preventing obesity. Methods: Longitudinal cohort observational study on public school children self-identified by parent/guardian as Latino in grades K-12 for school years 2006-07 through 2016-17 with measured weight and height (n= 570,172students; 3,10,3642observations). POB reported by parent/guardian was categorized as continental US (not NYC) (n=295,693), NYC (n=166,361), South America (n=19,452), Central America (n=10,241), Dominican Republic (n=57,0880), Puerto Rico (n=9,687) and Mexico (n=9,647). Age- and sex-specific BMI percentiles were estimated based on established growth charts. Data were analyzed in 2020. Results: Prevalence of obesity was highest among US (non-NYC)-born girls (21%) and boys (27%), followed by NYC-born girls (19%) and boys (25%). Among girls, South Americans (9%) had the lowest prevalence of all levels of obesity, while Puerto Ricans (19%) and Dominicans (15%) had the highest prevalence. Among boys, South Americans also had the lowest prevalence of all levels of obesity (15%), while Puerto Ricans (22%) and Mexicans (21%) had the highest. In adjusted models, obesity risk was highest in US (non-NYC)-born children, followed by children born in NYC (p<0.001). Immigrant Latino children exhibited an advantage, particularly Dominicans, South Americans and Puerto Ricans, and even after controlling for individual and neighborhood sociodemographic features including linguistic isolation and poverty. Conclusions: The heterogeneity of obesity risk among Latino children highlights the importance of POB.

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“…The findings revealed that 76.5 percent of people are overweight or obese (the prevalence of overweight in women was 33.2 percent compared to 32.4 percent in men, and 47.4 percent of women are obese compared to males). Day et al, (18) investigated the links between obesity and food quality, dietary power density, and energy expenditures. Many health inequalities were linked to educational and economic inequality.…”

Section: The Relationship Between Gender and Eating Habitmentioning

confidence: 99%

Anthropometry Measures and Prevalence of Obesity among Undergraduates of Public University Libya

laater¹,

Alhoot²,

B³

2021

IJPHRD

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This research examines demographics, socioeconomic, eating habits, andphysical activity on obesity prevalence in students of Libya. The present study population consists of undergraduate students joining the universities of the west coast of Libya. Specifically, the research has been carried out with undergraduate students of two public universities (Zawia University and Sabaratha University) of Libya. The present study has used a survey based on the constructs of the conceptual framework. Therefore, self-distributed questionnaires for each of 500 samples of the student to collect from the questionnaire.This research has done a comprehensive theoretical discussion to be able to come up with the research hypotheses. The hypotheses were that there is a significant relationship between demographic factors and obesity prevalence in undergraduate students of Libya. Also, there is no significant relationship between socioeconomic factors and obesity prevalence in undergraduate students of Libya and.Furthermore, there is a significant difference between male and female undergraduate students in terms of eating habits. And finally, there is a significant difference between male and female undergraduate students in physical activity.Moreover, the study proposes the management take the initiative for the implementation of strategies that will be helpful to get the awareness about obesity among students in Libya.

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Continued Decline in Obesity and Severe Obesity Prevalence Among New York City Public School Youth in Grades K‐8: 2011‐2017

Cited by 12 publications

References 14 publications

The impact of change in neighborhood poverty on BMI trajectory of 37,544 New York City youth: a longitudinal study

The impact of change in neighborhood poverty on BMI trajectory of 37,544 New York City youth: a longitudinal study

Latino children’s obesity risk varies by place of birth: Findings from New York City public school youth, 2006-2017

Anthropometry Measures and Prevalence of Obesity among Undergraduates of Public University Libya

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