Hong Tang

Prof. Hong Tang


Research Focus & Metrics

Academic Career Length

24Years (2003-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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17 March 2010 in BMC Public Health
Verified
Journal Article
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TNTrang Hhd Nguyen
Trang Hhd Nguyen
HTHong Tang
Hong Tang
PKPatrick Kelly
Patrick Kelly
HPHidde P van der Ploeg
Hidde P van der Ploeg
MDMichael Dibley
Michael Dibley
The emerging epidemic of overweight/obesity in adolescents in Ho Chi Minh City, Vietnam underlines the importance of studying the metabolic syndrome in Vietnamese adolescents who are becoming progressively more inactive. No study in Vietnam has examined the association of metabolic syndrome with moderate to vigorous physical activity (PA) levels among adolescents. We aimed to examine this association in a sample of urban adolescents from Ho Chi Minh City. A cross-sectional assessment was conducted in 2007 on a representative sample of 693 high-school students from urban districts in Ho Chi Minh City. Metabolic syndrome was defined according to the International Diabetes Federation criteria and physical activity was measured with Actigraph accelerometers. The association between physical activity and metabolic syndrome was assessed by using multiple logistic regression models. Overall 4.6% of the adolescents and 11.8% of the overweight/obese adolescents had metabolic syndrome. Elevated BP was the most common individual component of the metabolic syndrome (21.5%), followed by hypertriglyceridemia (11.1%). After adjusting for other study factors, the odds of metabolic syndrome among youth in the lowest physical activity group (103 minutes/day) (AOR = 5.3, 95% CI: 1.5, 19.1). Metabolic syndrome was also positively associated with socioeconomic status (AOR = 9.4, 95% CI: 2.1, 42.4). A more physically active lifestyle appears to be associated with a lower odds of metabolic syndrome in Vietnamese adolescents. Socio-economic status should be taken into account when planning interventions to prevent adolescent metabolic syndrome.

1 July 2009 in Medicine & Science in Sports & Exercise
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Journal Article
Closed access
NTNguyen H. H. D. Trang
Nguyen H. H. D. Trang
HTHong Tang
Hong Tang
MDMichael J. Dibley
Michael J. Dibley
DSDavid W. Sibbritt
David W. Sibbritt
S was collected with a validated questionnaire. Anthropometry, parental/family characteristics, neighborhood, and school environments were also measured. Level of activity was classified as physically active or inactive using standard criteria. Potential risk factors for physical inactivity were identified with hierarchical multivariate logistic regression, stratified by gender. Results: Physical inactivity was positively associated with child's overweight status (odds ratio [OR] = 2.5, 95% confidence interval [CI] = 1.9, 3.2), passive transportation (OR = 4.2, 95% CI = 3.3-5.2), not having recess exercises (OR = 1.3, 95% CI = 1.1-5.6), availability of a nearby game shop (OR = 1.8, 95% CI = 1.5-2.2), more time spent playing video games, watching television, and studying after class (OR = 2.3, 95% CI = 1.7-3.1; OR = 1.5, 95% CI = 1.2-1.9; and OR = 1.8, 95% CI = 1.3-2.4, respectively). The following factors decreased the odds of inactivity: schools having one to two sport meetings per year (OR = 0.7, 95% CI = 0.5-1.0), availability of a play yard (OR = 0.7, 95% CI = 0.6-0.9), older age group (OR = 0.2, 95% CI = 0.1-0.2), and male gender (OR = 0.6, 95% CI = 0.5-0.7). In boys, transportation, school sport meeting, availability of game shop near by, family's economic status, parental body mass index status, and time spent watching television were strongly associated with physical inactivity. In girls, time spent for study after class was one of the most important factors related to students' physical inactivity. Conclusions: Physical activity among adolescents in HCMC is related to household, school, and community factors. These factors and gender differences should be taken into account when promoting physical activity in adolescents....

15 February 2013 in BMC Public Health
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Journal Article
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PNPhuong Van Ngoc Nguyen
Phuong Van Ngoc Nguyen
HTHong Tang
Hong Tang
THTruong Hoang
Truong Hoang
DNDung The Nguyen
Dung The Nguyen
ARAnnie R Robert
Annie R Robert
Two previous surveys conducted in Ho Chi Minh City revealed an increasing prevalence of overweight and obese adolescents, from 5.9% in 2002 to 11.7% in 2004. From 2004 to 2010, the government set up and implemented health promotion programs to promote physical activity and good nutritional habits in order to prevent overweight and obesity in children and adolescents. Our study aimed to estimate the prevalence of overweight and obesity among adolescents in urban areas of Ho Chi Minh City in 2010.

1 October 2010 in Pediatric Obesity
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Journal Article
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HTHong Tang
Hong Tang
NTNguyen H. H. D. Trang
Nguyen H. H. D. Trang
MDMichael J. Dibley
Michael J. Dibley
DSDavid W. Sibbritt
David W. Sibbritt
PBPhan N. T. Binh
Phan N. T. Binh
THTran T. M. Hanh
Tran T. M. Hanh
Objective. To identify factors associated with overweight/obesity among adolescents in Ho Chi Minh City, Vietnam. Methods. In 2004, a cross-sectional survey was conducted using multi-stage cluster sampling. Weight and height of 2 678 students from 31 junior high schools in Ho Chi Minh City were measured. Dietary intake and physical activity were assessed using a validated food frequency questionnaire and a physical activity questionnaire. Parental, household and neighbourhood characteristics were also collected. Factors associated with overweight/obesity in adolescents were modelled using hierarchical, multivariate logistic regression. “Survey commands” in STATA were used to account for the multi-stage cluster sampling design. Results. After adjusting for other study factors, the odds of overweight/obesity was significantly higher for male gender (OR=3.1, 95% CI: 1.8, 3.8), younger age (OR=3.4, 95% CI: 2.1, 5.3), schools located in wealthy districts (OR=2.5, 95% CI: 1.8, 3.4), higher family economic status (OR=1.9, 95% CI: 1.1, 4.9), higher parental education (OR=2.0, 95% CI: 1.4, 2.9), overweight or obese parents (OR=3.5, 95% CI: 1.7, 7.0), more time spent watching TV (OR=4.3, 95% CI: 1.3, 14.7), frequent consumption of soft drinks (OR=3.0, 95% CI: 1.6, 5.3) and more time studying after class (OR=2.9, 95% CI: 1.7, 4.9). The odds of overweight/obesity was lower with the availability of fruit at home (OR=0.5, 95% CI: 0.3, 0.7), frequent consumption of fruit/vegetables (OR=0.3, 95% CI: 0.2, 0.4) and being physically active (OR=0.5, 95% CI: 0.4, 0.8). Conclusions. Family/parental factors as well as children’s lifestyle should be taken into account when planning interventions to prevent adolescent obesity.

1 January 2012 in International Journal of Behavioral Nutrition and Physical Activity
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Journal Article
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HTHong Tang
Hong Tang
NTNguyen Hhd Trang
Nguyen Hhd Trang
HPHidde P van der Ploeg
Hidde P van der Ploeg
LOUISE HARDYLOUISE HARDY
LOUISE HARDY
MDMichael Dibley
Michael Dibley
Accurate assessment of physical activity in adolescents at population level is necessary. In Vietnam, the International Physical Activity Questionnaire (IPAQ) and Physical Activity Questionnaire for Adolescents (PAQA) have been validated against accelerometers for use in adolescents. However, these questionnaires were originally designed for adults and showed poor validity. This study aims to assess the reliability and validity of the Vietnamese Adolescent Physical Activity Recall Questionnaire (V-APARQ).

1 January 2007 in Pediatric Obesity
Verified
Journal Article
Closed access
HTHong Tang
Hong Tang
MDMichael J. Dibley
Michael J. Dibley
DSDavid Sibbritt
David Sibbritt
PBPhan N. T. Binh
Phan N. T. Binh
NTNguyen H. H. D. Trang
Nguyen H. H. D. Trang
THTran T. M. Hanh
Tran T. M. Hanh
Objective. To assess changes in the prevalence of overweight and obesity among adolescents in urban districts of Ho Chi Minh City between 2002 and 2004. Methods. Two surveys were conducted among high school students (11–16 years) in 2002 (n = 1003 students) and 2004 (n = 2684). International Obesity Taskforce (IOTF) sex and age specific BMI cut-offs were used to define overweight and obesity. Underweight was defined as a BMI-for-age z-score < − 2, based on the US Centers for Disease Control and Prevention (CDC) 2000 growth reference. In 2002, students completed a questionnaire about household assets. In 2004, parents answered questions about their weight, height, education, occupation, and ownership of 14 household assets. Results. The prevalence of overweight and obesity increased from 5.0% and 0.6% in 2002, to 11.7% and 2.0% in 2004, respectively (p < 0.001), while the prevalence of underweight decreased from 13.1% to 6.7%. There was a significant increase in prevalence of overweight and obesity by gender over the two years: the 113% increase in prevalence of overweight and obesity in boys was significantly greater than the 39% increase in girls (p < 0.001). The percentage increase in overweight and obesity was considerably lower in adolescents from the poorest households (33%), than from the other quintiles of wealthier households (ranging from 77% to 124%) (p < 0.001). Conclusions. The prevalence of overweight and obesity among adolescents in Ho Chi Minh City is increasing rapidly. There is an urgent need to implement strategies for prevention and control amongst the adolescents of Ho Chi Minh City and other urban areas in Vietnam.