학술논문
Associations of childhood BMI traits with blood pressure and glycated haemoglobin in 6-9-year-old Samoan children.
Document Type
Academic Journal
Author
Choy CC; Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, Connecticut, USA.; Department of Epidemiology, International Health Institute, School of Public Health, Brown University, Providence, Rhode Island, USA.; Johnson W; School of Sport, Exercise, and Health Sciences, Loughborough University, Loughborough, UK.; Braun JM; Department of Epidemiology, School of Public Health, Brown University, Providence, Rhode Island, USA.; Soti-Ulberg C; Ministry of Health, Apia, Samoa.; Reupena MS; Lutia i Puava ae Mapu i Fagalele, Apia, Samoa.; Naseri T; Department of Epidemiology, International Health Institute, School of Public Health, Brown University, Providence, Rhode Island, USA.; Savusa K; Samoa Obesity, Lifestyle, and Genetic Adaptations (OLaGA) Study Group, Apia, Samoa.; Lupematasila VF; Samoa Obesity, Lifestyle, and Genetic Adaptations (OLaGA) Study Group, Apia, Samoa.; Arorae MS; Samoa Obesity, Lifestyle, and Genetic Adaptations (OLaGA) Study Group, Apia, Samoa.; Tafunaina F; Samoa Obesity, Lifestyle, and Genetic Adaptations (OLaGA) Study Group, Apia, Samoa.; Unasa F; Samoa Obesity, Lifestyle, and Genetic Adaptations (OLaGA) Study Group, Apia, Samoa.; Duckham RL; Institute for Physical Activity and Nutrition (IPAN), Deakin University, Burwood, Victoria, Australia.; Australian Institute for Musculoskeletal Science (AIMSS), The University of Melbourne and Western Health, St. Albans, Victoria, Australia.; Wang D; Department of Global and Community Health, College of Public Health, George Mason University, Fairfax, Virginia, USA.; McGarvey ST; Department of Epidemiology, International Health Institute, School of Public Health, Brown University, Providence, Rhode Island, USA.; Department of Anthropology, Brown University, Providence, Rhode Island, USA.; Hawley NL; Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, Connecticut, USA.
Source
Publisher: Wiley-Blackwell for the International Association for the Study of Obesity Country of Publication: England NLM ID: 101572033 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2047-6310 (Electronic) Linking ISSN: 20476302 NLM ISO Abbreviation: Pediatr Obes Subsets: MEDLINE
Subject
Language
English
Abstract
Introduction: Prevalence and risk factors for elevated glycated haemoglobin (HbA1c) and blood pressure (BP) are poorly understood among Pacific children. We examined associations of HbA1c and BP in 6-9 year-olds with body mass index (BMI) at ages 2, 5, and BMI velocity between 2-9 years in Samoa.
Methods: HbA1c (capillary blood) and BP were measured in n = 410 Samoan children who were part of an ongoing cohort study. Multilevel models predicted BMI trajectory characteristics. Generalized linear regressions assessed associations of childhood characteristics and BMI trajectories with HbA1c and BP treated as both continuous and categorical outcomes. Primary caregiver-reported childhood characteristics were used as covariates.
Results: Overall, 12.90% (n = 53) of children had high HbA1c (≥5.7%) and 33.17% (n = 136) had elevated BP. BMI at 5-years and BMI velocity were positively associated with high HbA1c prevalence in males. A 1 kg/m2 per year higher velocity was associated with a 1.71 (95% CI: 1.07, 2.75) times higher prevalence of high HbA1c. In females, higher BMI at 5-years and greater BMI velocity were associated with higher BP at 6-9 years (95% CI: 1.12, 1.40, and 1.42, 2.74, respectively).
Conclusion: Monitoring childhood BMI trajectories may inform cardiometabolic disease screening and prevention efforts in this at-risk population.
(© 2024 World Obesity Federation.)
Methods: HbA1c (capillary blood) and BP were measured in n = 410 Samoan children who were part of an ongoing cohort study. Multilevel models predicted BMI trajectory characteristics. Generalized linear regressions assessed associations of childhood characteristics and BMI trajectories with HbA1c and BP treated as both continuous and categorical outcomes. Primary caregiver-reported childhood characteristics were used as covariates.
Results: Overall, 12.90% (n = 53) of children had high HbA1c (≥5.7%) and 33.17% (n = 136) had elevated BP. BMI at 5-years and BMI velocity were positively associated with high HbA1c prevalence in males. A 1 kg/m
Conclusion: Monitoring childhood BMI trajectories may inform cardiometabolic disease screening and prevention efforts in this at-risk population.
(© 2024 World Obesity Federation.)