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Featured researches published by Hsin Jen Chen.


Obesity Reviews | 2009

Is obesity becoming a public health problem in India? Examine the shift from under- to overnutrition problems over time

Youfa Wang; Hsin Jen Chen; Saijuddin Shaikh; P. Mathur

This study aimed to examine the prevalence and trends of overweight, obesity and undernutrition in recent decades in India. Based on a systematic literature search on PubMed and other data sources, most published studies were regional or local surveys in urban areas, while good representative data from the India National Family Health Surveys (NFHS, 1992–1993, 1998–1999 and 2005–2006) allowed for examining the trends at the national level. Overall, the available data showed that in India, prevalence of overweight was low while that of undernutrition remained high. Overweight was more prevalent among female, urban and high‐socioeconomic‐status (SES) groups. NFHS data showed that the prevalence of overweight in women and pre‐school children did not increase much in the last decade: 10.6% and 1.6% in 1998–1999 to 12.6% and 1.5% in 2005–2006 respectively. As for underweight, NFHS 2005–2006 showed high prevalence among ever‐married women (about 35%) and pre‐school children (about 42%). The prevalence of overweight and obesity had increased slightly over the past decade in India, but in some urban and high‐SES groups it reached a relatively high level. Factors associated with undernutrition need closer examination, and prevention of obesity should be targeted at the high‐risk groups simultaneously.


American Journal of Public Health | 2012

Race, Place, and Obesity: The Complex Relationships Among Community Racial/Ethnic Composition, Individual Race/Ethnicity, and Obesity in the United States

James B. Kirby; Lan Liang; Hsin Jen Chen; Youfa Wang

OBJECTIVES We explored the association between community racial/ethnic composition and obesity risk. METHODS In this cross-sectional study, we used nationally representative data from the Medical Expenditure Panel Survey linked to geographic data from the US Decennial Census and Census Business Pattern data. RESULTS Living in communities with a high Hispanic concentration (≥ 25%) was associated with a 0.55 and 0.42 increase in body mass index (BMI; defined as weight in kilograms divided by the square of height in meters) and 21% and 23% higher odds for obesity for Hispanics and non-Hispanic Whites, respectively. Living in a community with a high non-Hispanic Asian concentration (≥ 25%) was associated with a 0.68 decrease in BMI and 28% lower odds for obesity for non-Hispanic Whites. We controlled for individual- and community-level social, economic, and demographic variables. CONCLUSIONS Community racial/ethnic composition is an important correlate of obesity risk, but the relationship differs greatly by individual race/ethnicity. To better understand the obesity epidemic and related racial/ethnic disparities, more must be learned about community-level risk factors, especially how built environment and social norms operate within communities and across racial/ethnic groups.


PLOS ONE | 2013

Parent-child resemblance in weight status and its correlates in the United States.

Yinghui Liu; Hsin Jen Chen; Lan Liang; Youfa Wang

Background Few studies have examined parent-child resemblance in body weight status using nationally representative data for the US. Design We analyzed Body Mass Index (BMI), weight status, and related correlates for 4,846 boys, 4,725 girls, and their parents based on US nationally representative data from the 2006 and 2007 Medical Expenditure Panel Survey (MEPS). Pearson partial correlation coefficients, percent agreement, weighted kappa coefficients, and binary and multinomial logistic regression were used to examine parent-child resemblance, adjusted for complex sampling design. Results Pearson partial correlation coefficients between parent and child’s BMI measures were 0.15 for father-son pairs, 0.17 for father-daughter pairs, 0.20 for mother-son pairs, and 0.23 for mother-daughter pairs. The weighted kappa coefficients between BMI quintiles of parent and child ranged from −0.02 to 0.25. Odds ratio analyses found children were 2.1 (95% confidence interval (CI): 1.6, 2.8) times more likely to be obese if only their father was obese, 1.9 (95% CI: 1.5, 2.4) times more likely if only their mother was obese, and 3.2 (95% CI: 2.5, 4.2) times more likely if both parents were obese. Conclusions Parent-child resemblance in BMI appears weak and may vary across parent-child dyad types in the US population. However, parental obesity status is associated with children’s obesity status. Use of different measures of parent-child resemblance in body weight status can lead to different conclusions.


PLOS ONE | 2016

Is the 90th Percentile Adequate? The Optimal Waist Circumference Cutoff Points for Predicting Cardiovascular Risks in 124,643 15-Year-Old Taiwanese Adolescents.

Jason Jiunshiou Lee; ChinYu Ho; Hsin Jen Chen; Nicole Huang; Jade Chienyu Yeh; Sarah deFerranti

Adolescent obesity has increased to alarming proportions globally. However, few studies have investigated the optimal waist circumference (WC) of Asian adolescents. This study sought to establish the optimal WC cutoff points that identify a cluster of cardiovascular risk factors (CVRFs) among 15-year-old ethnically Chinese adolescents. This study was a regional population-based study on the CVRFs among adolescents who enrolled in all the senior high schools in Taipei City, Taiwan, between 2011 and 2014. Four cross-sectional health examinations of first-year senior high school (grade 10) students were conducted from September to December of each year. A total of 124,643 adolescents aged 15 (boys: 63,654; girls: 60,989) were recruited. Participants who had at least three of five CVRFs were classified as the high-risk group. We used receiver-operating characteristic curves and the area under the curve (AUC) to determine the optimal WC cutoff points and the accuracy of WC in predicting high cardiovascular risk. WC was a good predictor for high cardiovascular risk for both boys (AUC: 0.845, 95% confidence interval [CI]: 0.833–0.857) and girls (AUC: 0.763, 95% CI: 0.731–0.795). The optimal WC cutoff points were ≥78.9 cm for boys (77th percentile) and ≥70.7 cm for girls (77th percentile). Adolescents with normal weight and an abnormal WC were more likely to be in the high cardiovascular risk group (odds ratio: 3.70, 95% CI: 2.65–5.17) compared to their peers with normal weight and normal WC. The optimal WC cutoff point of 15-year-old Taiwanese adolescents for identifying CVRFs should be the 77th percentile; the 90th percentile of the WC might be inadequate. The high WC criteria can help health professionals identify higher proportion of the adolescents with cardiovascular risks and refer them for further evaluations and interventions. Adolescents’ height, weight and WC should be measured as a standard practice in routine health checkups.


Journal of Adolescent Health | 2016

Changes in the Neighborhood Food Store Environment and Children's Body Mass Index at Peripuberty in the United States.

Hsin Jen Chen; Youfa Wang


Journal of Obesity | 2014

Socioeconomic and demographic factors for spousal resemblance in obesity status and habitual physical activity in the United States.

Hsin Jen Chen; Yinghui Liu; Youfa Wang


American Journal of Public Health | 2013

Influence of School Beverage Environment on the Association of Beverage Consumption With Physical Education Participation Among US Adolescents

Hsin Jen Chen; Youfa Wang


Annals of Epidemiology | 2016

Relationship between frequency of eating and cardiovascular disease mortality in U.S. adults: the NHANES III follow-up study.

Hsin Jen Chen; Youfa Wang; Lawrence J. Cheskin


Patient Education and Counseling | 2016

Patient-health care professional gender or race/ethnicity concordance and its association with weight-related advice in the United States.

Hsing Yu Yang; Hsin Jen Chen; Jill A. Marsteller; Lan Liang; Leiyu Shi; Youfa Wang


International Journal of Public Health | 2016

Stunting and weight statuses of adolescents differ between public and private schools in urban Gambia.

Alimatou Juwara; Nicole Huang; Li-Ying Chien; Hsin Jen Chen

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Youfa Wang

State University of New York System

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Lan Liang

Johns Hopkins University

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James B. Kirby

Johns Hopkins University

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Lan Liang

Johns Hopkins University

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Yinghui Liu

Johns Hopkins University

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Nicole Huang

National Yang-Ming University

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Leiyu Shi

Johns Hopkins University

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