Li Niu1, Lindsay T Hoyt2, Sarah Pickering3, Anne Nucci-Sack3, Anthony Salandy3, Viswanathan Shankar4, Elisa M Rodriguez5, Robert D Burk6, Nicolas F Schlecht7, Angela Diaz8. 1. Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, Manhattan, New York; Department of Pediatrics, Mount Sinai Adolescent Health Center, Mount Sinai Hospital, New York, New York. Electronic address: li.niu@mssm.edu. 2. Applied Developmental Psychology, Fordham University, Bronx, New York. 3. Department of Pediatrics, Mount Sinai Adolescent Health Center, Mount Sinai Hospital, New York, New York. 4. Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, New York. 5. Department of Cancer Prevention & Control, Roswell Park Comprehensive Cancer Center, Buffalo, New York. 6. Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, New York; Department of Pediatrics, Microbiology & Immunology, Albert Einstein College of Medicine, Bronx, New York; Department of Obstetrics, Gynecology & Womens Health, Albert Einstein College of Medicine, Bronx, New York. 7. Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, New York; Department of Cancer Prevention & Control, Roswell Park Comprehensive Cancer Center, Buffalo, New York. 8. Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, Manhattan, New York; Department of Pediatrics, Mount Sinai Adolescent Health Center, Mount Sinai Hospital, New York, New York.
Abstract
PURPOSE: The purpose of this study is to identify distinct neighborhood profiles patterned by key structural, physical, and social characteristics and test whether living in different profiles are associated with body mass index trajectories during adolescence in racial/ethnic minority female youth. METHODS: Participants were 1,328 sexually active female adolescents and young adults aged 14-23 years, predominately Hispanic and black, enrolled in an human papillomavirus type 4 vaccine (Gardasil) surveillance study at a large adolescent health clinic in New York City between 2007 and 2018. Body mass index was calculated from weight and height every 6 months. A comprehensive set of neighborhood structural, social, and physical characteristics from multiple national and state datasets was linked to each participant based on home address. RESULTS: Latent profile analysis revealed five distinct neighborhood profiles in New York City: High Structural/High Social Advantage, Moderate Advantage/Low Crime, Low SES (Socioeconomic Status)/High Activity, Low SES/High Social Advantage, and High Disadvantage. Results from multilevel growth curve analysis revealed that living in Low SES/High Activity neighborhoods was associated with a lower BMI at age 22 (b = -1.32, 95% confidence interval -2.49, -.16), as well as a slower increase in BMI from age 14 to 22 years (b = -.22, 95% confidence interval -.46, .02), compared to the High Disadvantage profile. CONCLUSIONS: Our findings suggest that improving neighborhood structural, social, and physical environments may help promote healthy weight and reduce health disparities during adolescence and young adulthood.
PURPOSE: The purpose of this study is to identify distinct neighborhood profiles patterned by key structural, physical, and social characteristics and test whether living in different profiles are associated with body mass index trajectories during adolescence in racial/ethnic minority female youth. METHODS: Participants were 1,328 sexually active female adolescents and young adults aged 14-23 years, predominately Hispanic and black, enrolled in an human papillomavirus type 4 vaccine (Gardasil) surveillance study at a large adolescent health clinic in New York City between 2007 and 2018. Body mass index was calculated from weight and height every 6 months. A comprehensive set of neighborhood structural, social, and physical characteristics from multiple national and state datasets was linked to each participant based on home address. RESULTS: Latent profile analysis revealed five distinct neighborhood profiles in New York City: High Structural/High Social Advantage, Moderate Advantage/Low Crime, Low SES (Socioeconomic Status)/High Activity, Low SES/High Social Advantage, and High Disadvantage. Results from multilevel growth curve analysis revealed that living in Low SES/High Activity neighborhoods was associated with a lower BMI at age 22 (b = -1.32, 95% confidence interval -2.49, -.16), as well as a slower increase in BMI from age 14 to 22 years (b = -.22, 95% confidence interval -.46, .02), compared to the High Disadvantage profile. CONCLUSIONS: Our findings suggest that improving neighborhood structural, social, and physical environments may help promote healthy weight and reduce health disparities during adolescence and young adulthood.
Authors: Gregory J Norman; Marc A Adams; Jacqueline Kerr; Sherry Ryan; Lawrence D Frank; Scott C Roesch Journal: J Public Health Manag Pract Date: 2010 Sep-Oct
Authors: Lourdes Oriana Linares; Viswanathan Shankar; Angela Diaz; Anne Nucci-Sack; Howard D Strickler; Ken Peake; Jocelyn Weiss; Robert D Burk; Nicolas F Schlecht Journal: J Dev Behav Pediatr Date: 2015-10 Impact factor: 2.225