1
|
D'Agostino EM, Neshteruk CD, Li T, Davis J, Granados I, Kumar A, Forde J, Hornik CP. Going Places: An Active Transportation Intervention to Increase Youth Physical Activity, Durham, North Carolina, 2023-2024. Am J Public Health 2025; 115:693-697. [PMID: 40112267 PMCID: PMC11983032 DOI: 10.2105/ajph.2025.308012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/22/2025]
Abstract
Routine youth physical activity (PA) fosters healthy habits and lasting cardiometabolic benefits into adulthood; however, significant disparities in PA persist by race, ethnicity, and income. Active transportation is an optimal intervention target to promote youth PA equity by building transportation self-efficacy skills. Going Places, a multilevel transportation self-efficacy intervention, aims to increase underserved youth PA and cardiometabolic health. We demonstrate preliminary efficacy, based on increased levels of PA, improved transportation self-efficacy, and reduced barriers to transportation use and PA to support positive patterns for lifelong health. (Am J Public Health. 2025;115(5):693-697. https://doi.org/10.2105/AJPH.2025.308012).
Collapse
Affiliation(s)
- Emily M D'Agostino
- Emily M. D'Agostino and Christoph P. Hornik are with the Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC. Cody D. Neshteruk and Isa Granados are with the Department of Population Health Sciences, Duke University School of Medicine. Tang Li is with the Department of Public Health Science, Penn State College of Medicine, Hershey, PA. Jeremiah Davis is with the Department of Family Medicine, Duke University School of Medicine. Advika Kumar is with the Duke Global Health Institute, Duke University School of Medicine. Jeffrey Forde is with the Durham Parks and Recreation, Durham, NC
| | - Cody D Neshteruk
- Emily M. D'Agostino and Christoph P. Hornik are with the Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC. Cody D. Neshteruk and Isa Granados are with the Department of Population Health Sciences, Duke University School of Medicine. Tang Li is with the Department of Public Health Science, Penn State College of Medicine, Hershey, PA. Jeremiah Davis is with the Department of Family Medicine, Duke University School of Medicine. Advika Kumar is with the Duke Global Health Institute, Duke University School of Medicine. Jeffrey Forde is with the Durham Parks and Recreation, Durham, NC
| | - Tang Li
- Emily M. D'Agostino and Christoph P. Hornik are with the Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC. Cody D. Neshteruk and Isa Granados are with the Department of Population Health Sciences, Duke University School of Medicine. Tang Li is with the Department of Public Health Science, Penn State College of Medicine, Hershey, PA. Jeremiah Davis is with the Department of Family Medicine, Duke University School of Medicine. Advika Kumar is with the Duke Global Health Institute, Duke University School of Medicine. Jeffrey Forde is with the Durham Parks and Recreation, Durham, NC
| | - Jeremiah Davis
- Emily M. D'Agostino and Christoph P. Hornik are with the Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC. Cody D. Neshteruk and Isa Granados are with the Department of Population Health Sciences, Duke University School of Medicine. Tang Li is with the Department of Public Health Science, Penn State College of Medicine, Hershey, PA. Jeremiah Davis is with the Department of Family Medicine, Duke University School of Medicine. Advika Kumar is with the Duke Global Health Institute, Duke University School of Medicine. Jeffrey Forde is with the Durham Parks and Recreation, Durham, NC
| | - Isa Granados
- Emily M. D'Agostino and Christoph P. Hornik are with the Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC. Cody D. Neshteruk and Isa Granados are with the Department of Population Health Sciences, Duke University School of Medicine. Tang Li is with the Department of Public Health Science, Penn State College of Medicine, Hershey, PA. Jeremiah Davis is with the Department of Family Medicine, Duke University School of Medicine. Advika Kumar is with the Duke Global Health Institute, Duke University School of Medicine. Jeffrey Forde is with the Durham Parks and Recreation, Durham, NC
| | - Advika Kumar
- Emily M. D'Agostino and Christoph P. Hornik are with the Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC. Cody D. Neshteruk and Isa Granados are with the Department of Population Health Sciences, Duke University School of Medicine. Tang Li is with the Department of Public Health Science, Penn State College of Medicine, Hershey, PA. Jeremiah Davis is with the Department of Family Medicine, Duke University School of Medicine. Advika Kumar is with the Duke Global Health Institute, Duke University School of Medicine. Jeffrey Forde is with the Durham Parks and Recreation, Durham, NC
| | - Jeffrey Forde
- Emily M. D'Agostino and Christoph P. Hornik are with the Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC. Cody D. Neshteruk and Isa Granados are with the Department of Population Health Sciences, Duke University School of Medicine. Tang Li is with the Department of Public Health Science, Penn State College of Medicine, Hershey, PA. Jeremiah Davis is with the Department of Family Medicine, Duke University School of Medicine. Advika Kumar is with the Duke Global Health Institute, Duke University School of Medicine. Jeffrey Forde is with the Durham Parks and Recreation, Durham, NC
| | - Christoph P Hornik
- Emily M. D'Agostino and Christoph P. Hornik are with the Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC. Cody D. Neshteruk and Isa Granados are with the Department of Population Health Sciences, Duke University School of Medicine. Tang Li is with the Department of Public Health Science, Penn State College of Medicine, Hershey, PA. Jeremiah Davis is with the Department of Family Medicine, Duke University School of Medicine. Advika Kumar is with the Duke Global Health Institute, Duke University School of Medicine. Jeffrey Forde is with the Durham Parks and Recreation, Durham, NC
| |
Collapse
|
2
|
Lee S, Kang M. A Data-Driven Approach to Predicting Recreational Activity Participation Using Machine Learning. RESEARCH QUARTERLY FOR EXERCISE AND SPORT 2024; 95:873-885. [PMID: 38875156 DOI: 10.1080/02701367.2024.2343815] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Accepted: 04/07/2024] [Indexed: 06/16/2024]
Abstract
Purpose: With the popularity of recreational activities, the study aimed to develop prediction models for recreational activity participation and explore the key factors affecting participation in recreational activities. Methods: A total of 12,712 participants, excluding individuals under 20, were selected from the National Health and Nutrition Examination Survey (NHANES) from 2011 to 2018. The mean age of the sample was 46.86 years (±16.97), with a gender distribution of 6,721 males and 5,991 females. The variables included demographic, physical-related variables, and lifestyle variables. This study developed 42 prediction models using six machine learning methods, including logistic regression, Support Vector Machine (SVM), decision tree, random forest, eXtreme Gradient Boosting (XGBoost), and Light Gradient Boosting Machine (LightGBM). The relative importance of each variable was evaluated by permutation feature importance. Results: The results illustrated that the LightGBM was the most effective algorithm for predicting recreational activity participation (accuracy: .838, precision: .783, recall: .967, F1-score: .865, AUC: .826). In particular, prediction performance increased when the demographic and lifestyle datasets were used together. Next, as the result of the permutation feature importance based on the top models, education level and moderate-vigorous physical activity (MVPA) were found to be essential variables. Conclusion: These findings demonstrated the potential of a data-driven approach utilizing machine learning in a recreational discipline. Furthermore, this study interpreted the prediction model through feature importance analysis to overcome the limitation of machine learning interpretability.
Collapse
|
3
|
Wang Z, Tian Q, Xu Y, Hun M, Hu L, Zhao M, He Q. Dose-Response Relationships of Moderate to Vigorous Physical Activity and Sedentary Time With Renal Function Indices in Adolescents With Reduced Renal Function: A Cross-Sectional Study. J Phys Act Health 2024; 21:1064. [PMID: 39187238 DOI: 10.1123/jpah.2023-0597] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Revised: 06/26/2024] [Accepted: 07/03/2024] [Indexed: 08/28/2024]
Abstract
BACKGROUND This study aimed to explore the associations between moderate to vigorous physical activity (MVPA) and sedentary time with renal function indices in adolescents with kidney disease. METHODS A cross-sectional study was conducted on 719 adolescents (median age 15 y, 40.6% female) with kidney disease from the National Health and Nutrition Examination Survey 2007-2016. The exposures were MVPA time and sedentary time. Renal metabolic parameters included serum uric acid (SUA), creatinine, blood urea nitrogen, the estimated glomerular filtration rate (eGFR), and the albumin creatinine ratio. Weighted multivariate regression analysis was used to estimate associations between exposures and outcomes. RESULTS After stratifying MVPA time, the regression effect values β (95% CI) for MVPA on SUA (Q2: -0.22 [-0.41 to -0.03]; Q3: -0.32 [-0.53 to -0.11]) and creatinine (Q2: -0.08 [-0.15 to -0.01]; Q3: -0.04 [-0.11 to 0.03]) gradually decreased with increasing MVPA time. In males (-0.76 [-1.19 to -0.32]), MVPA time was significantly associated with lower SUA levels compared with females (-0.14 [-0.38 to 0.10]). Notably, female adolescents who had an MVPA time exceeding 420 minutes exhibited lower albumin creatinine ratio (-75.37 [-146.63 to -4.11]). In addition, both recreational MVPA time (-0.26 [-0.45 to -0.06]) and sedentary time (-3.15 [-5.83 to -0.46]) were negatively associated with eGFR. CONCLUSIONS Our study found an association between MVPA and lower levels of SUA in male adolescents with kidney disease and albuminuria in female adolescents with kidney disease. In addition, MVPA was also negatively associated with creatinine and eGFR, whereas sedentary time was only associated with eGFR. Further studies are needed to confirm these findings.
Collapse
Affiliation(s)
- Zisai Wang
- Department of Pediatrics, Third Xiangya Hospital, Central South University, Changsha, China
| | - Qiuwei Tian
- Department of Pediatrics, Third Xiangya Hospital, Central South University, Changsha, China
| | - Yujie Xu
- Department of Pediatrics, Third Xiangya Hospital, Central South University, Changsha, China
| | - Marady Hun
- Department of Pediatrics, Third Xiangya Hospital, Central South University, Changsha, China
| | - Lin Hu
- Department of Pediatrics, Third Xiangya Hospital, Central South University, Changsha, China
| | - Mingyi Zhao
- Department of Pediatrics, Third Xiangya Hospital, Central South University, Changsha, China
| | - Qingnan He
- Department of Pediatrics, Third Xiangya Hospital, Central South University, Changsha, China
| |
Collapse
|
4
|
Zeng X, Huang J, Shen T, Xu Y, Yan X, Li Q, Li Y, Xing X, Chen Q, Yang W. Nonlinear dose-response association of moderate-to-vigorous physical activity with hyperuricemia in US adults: NHANES 2007-2018. PLoS One 2024; 19:e0302410. [PMID: 38781249 PMCID: PMC11115305 DOI: 10.1371/journal.pone.0302410] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2023] [Accepted: 04/03/2024] [Indexed: 05/25/2024] Open
Abstract
BACKGROUND The relationship between physical activity and hyperuricemia (HUA) remains inconsistent, and the dose-response association between moderate-to- vigorous physical activity (MVPA) level and HUA still unclear. In this study, we aimed to investigate the dose-response association of MVPA with HUA, and to explore an appropriate range of MVPA level for preventing HUA. METHODS Data from the US National Health and Nutrition Examination Survey (NHANES) 2007-2018 were used, including 28740 non-gout adult Americans. MVPA level was self-reported using the Global Physical Activity Questionnaire and serum uric acid was measured using timed endpoint method. The dose-response relationship between MVPA level and HUA was modeled with restricted cubic spline analysis. Logistic regression analysis were applied to estimate odd ratios (ORs) and 95% confidence intervals (CIs) of the relationships between MVPA level and HUA. RESULTS A total of 28740 adults were included in the study (weighted mean age, 47.3 years; 46.5% men), with a prevalence rate of HUA was 17.6%. The restricted cubic spline functions depicted a general U-shaped relationship between MVPA level and HUA. The MVPA level of 933 and 3423 metabolic equivalent (MET) -min/wk were the cut-off discriminating for the risk of HUA. Participants with MVPA levels in the range of 933-3423 MET-min/wk had lower risk of HUA and they had the lowest risk when MVPA levels at around 1556 MET-min/wk. Compared with the moderate-activity group (600-2999 Met-min/wk), the low-activity group (< 600 Met-min/wk) had a greater risk of HUA (OR, 1.13 [95%CI, 1.02-1.26]) after fully adjusting for potential confounders. CONCLUSIONS Compared with the moderate MVPA level, the low MVPA level was associated with the higher risk of HUA. And there may be a U-shaped dose-response relationship between MVPA level and HUA. When MVPA level was approximately 933-3423 MET-min/wk, the risk of HUA may at a lower level and the risk reached the lowest when MVPA level at around 1556 MET-min/wk.
Collapse
Affiliation(s)
- Xia Zeng
- Department of Child and Adolescent Health, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, Guangdong Province, China
- Department of Nutrition and Food Health, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, Guangdong Province, China
| | - Jitian Huang
- Department of Child and Adolescent Health, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, Guangdong Province, China
| | - Tianran Shen
- Department of Nutrition and Food Health, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, Guangdong Province, China
| | - Yingxia Xu
- Department of Child and Adolescent Health, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, Guangdong Province, China
| | - Xiaofang Yan
- Department of Child and Adolescent Health, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, Guangdong Province, China
| | - Qian Li
- Department of Child and Adolescent Health, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, Guangdong Province, China
| | - Yanmei Li
- Department of Child and Adolescent Health, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, Guangdong Province, China
| | - Xiaohui Xing
- Department of Child and Adolescent Health, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, Guangdong Province, China
| | - Qingsong Chen
- Department of Occupational Health, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, Guangdong Province, China
| | - Wenhan Yang
- Department of Child and Adolescent Health, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, Guangdong Province, China
- Department of Nutrition and Food Health, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, Guangdong Province, China
| |
Collapse
|
5
|
Zi Y, Bartels M, Dolan C, de Geus EJC. Genetic confounding in the association of early motor development with childhood and adolescent exercise behavior. Int J Behav Nutr Phys Act 2024; 21:33. [PMID: 38515105 PMCID: PMC10958919 DOI: 10.1186/s12966-024-01583-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Accepted: 03/08/2024] [Indexed: 03/23/2024] Open
Abstract
INTRODUCTION Early motor development has been found to be a predictor of exercise behavior in children and adolescents, but whether this reflects a causal effect or confounding by genetic or shared environmental factors remains to be established. METHODS For 20,911 complete twin pairs from the Netherlands Twin Register a motor development score was obtained from maternal reports on the timing of five motor milestones. During a 12-year follow-up, subsamples of the mothers reported on the twins' ability to perform seven gross motor skills ability (N = 17,189 pairs), and weekly minutes of total metabolic equivalents of task (MET) spent on sports and exercise activities at age 7 (N = 3632 pairs), age 10 (N = 3735 pairs), age 12 (N = 7043 pairs), and age 14 (N = 3990 pairs). Multivariate phenotypic and genetic regression analyses were used to establish the predictive strength of the two motor development traits for future exercise behavior, the contribution of genetic and shared environmental factors to the variance in all traits, and the contribution of familial confounding to the phenotypic prediction. RESULTS Significant heritability (h2) and shared environmental (c2) effects were found for early motor development in boys and girls (h2 = 43-65%; c2 = 16-48%). For exercise behavior, genetic influences increased with age (boys: h2age7 = 22% to h2age14 = 51%; girls: h2age7 = 3% to h2age14 = 18%) paired to a parallel decrease in the influence of the shared environment (boys: c2age7 = 68% to c2age14 = 19%; girls: c2age7 = 80% to c2age14 = 48%). Early motor development explained 4.3% (p < 0.001) of the variance in future exercise behavior in boys but only 1.9% (p < 0.001) in girls. If the effect in boys was due to a causal effect of motor development on exercise behavior, all of the factors influencing motor development would, through the causal chain, also influence future exercise behavior. Instead, only the genetic parts of the regression of exercise behavior on motor development were significant. Shared and unique environmental parts of the regression were largely non-significant, which is at odds with the causal hypothesis. CONCLUSION No support was found for a direct causal effect in the association between rapid early motor development on future exercise behavior. In boys, early motor development appears to be an expression of the same genetic factors that underlie the heritability of childhood and early adolescent exercise behavior.
Collapse
Affiliation(s)
- Yahua Zi
- School of Exercise and Health, Shanghai University of Sport, Shanghai, China
- Department of Biological Psychology, Vrije Universiteit Amsterdam, van der Boechorststraat 7, H541, Medical Faculty Building, Amsterdam, 1081 BT, Netherlands
| | - Meike Bartels
- Department of Biological Psychology, Vrije Universiteit Amsterdam, van der Boechorststraat 7, H541, Medical Faculty Building, Amsterdam, 1081 BT, Netherlands
- Amsterdam Public Health Research Institute, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Conor Dolan
- Department of Biological Psychology, Vrije Universiteit Amsterdam, van der Boechorststraat 7, H541, Medical Faculty Building, Amsterdam, 1081 BT, Netherlands
- Amsterdam Public Health Research Institute, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Eco J C de Geus
- Department of Biological Psychology, Vrije Universiteit Amsterdam, van der Boechorststraat 7, H541, Medical Faculty Building, Amsterdam, 1081 BT, Netherlands.
- Department of Biological Psychology, Netherlands Twin Register, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
- Amsterdam Public Health Research Institute, Amsterdam University Medical Center, Amsterdam, The Netherlands.
| |
Collapse
|
6
|
Bopp M, Wilson OWA, Elliott LD, Holland KE, Duffey M, Papalia Z. Gender and race/ethnicity differences in occupational activity among students. ARCHIVES OF ENVIRONMENTAL & OCCUPATIONAL HEALTH 2022; 78:170-176. [PMID: 36259955 DOI: 10.1080/19338244.2022.2134282] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Occupational physical activity (OPA) is related to positive health outcomes and meeting overall physical activity recommendations. OPA participation typically varies across racial/ethnic groups and by gender, though little research has examined differences in OPA among college students. A cross-sectional, online survey of college students examined demographics and OPA. Participants (n = 3739) were predominately Non-Hispanic White (77.1%) and female (57.8%) aged 20.97 ± 1.52. Employed students reported greater total PA compared with non-employed students. Males reported significantly greater vigorous OPA, overall OPA, and total PA compared with females. Among employed students, OPA contributed significantly to overall PA levels. Males reported significantly greater OPA compared with females and there were several significant differences by race/ethnicity. Academic performance was related to OPA. These findings provide some insight on the OPA levels of a population group that has not been thoroughly examined.
Collapse
Affiliation(s)
- Melissa Bopp
- Department of Kinesiology, Pennsylvania State University, University Park, PA, USA
| | - Oliver W A Wilson
- Department of Kinesiology, Pennsylvania State University, University Park, PA, USA
| | - Lucas D Elliott
- Department of Kinesiology, Pennsylvania State University, University Park, PA, USA
| | - Kelsey E Holland
- Department of Kinesiology, Pennsylvania State University, University Park, PA, USA
| | - Michele Duffey
- Department of Kinesiology, Pennsylvania State University, University Park, PA, USA
| | - Zack Papalia
- Department of Kinesiology, Pennsylvania State University, University Park, PA, USA
| |
Collapse
|
7
|
Abshire DA, Pinto BM, Wilson DK. Physical Activity From Transportation: New Insights and Lingering Questions. J Adolesc Health 2021; 69:187-188. [PMID: 34303442 DOI: 10.1016/j.jadohealth.2021.04.034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Accepted: 04/30/2021] [Indexed: 10/20/2022]
Affiliation(s)
| | - Bernardine M Pinto
- College of Nursing, University of South Carolina, Columbia, South Carolina
| | - Dawn K Wilson
- Department of Psychology, University of South Carolina, Columbia, South Carolina
| |
Collapse
|
8
|
D'Agostino EM, Armstrong SC, Alexander EP, Østbye T, Neshteruk CD, Skinner AC. Predictors and Patterns of Physical Activity From Transportation Among United States Youth, 2007-2016. J Adolesc Health 2021; 69:263-271. [PMID: 33958267 DOI: 10.1016/j.jadohealth.2021.03.028] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/27/2020] [Revised: 03/17/2021] [Accepted: 03/31/2021] [Indexed: 12/27/2022]
Abstract
PURPOSE Physical activity is strongly associated with health benefits in youth, although wide disparities in physical activity persist across sex, race/ethnicity, and income. Active transportation is an important source of youth physical activity. We aimed to describe active transportation patterns for United States adolescents and young adults ages 12-25 years across sociodemographic and weight status characteristics. METHODS Cross-sectional secondary data analyses were based on self-reported transportation-related physical activity using the National Health and Nutrition Examination Survey, 2007-2016. RESULTS Of the sample (n = 8,680; population represented, N = 57,768,628), 4,300 (49.5%) were adolescents (12-17 y), and 4,380 (50.4%) were young adults (18-25 y). Male adolescents were more likely to participate in any (risk ratio [RR] = 1.3; 95% confidence interval [CI], 1.16-1.40) and daily (RR = 1.3; 95% CI, 1.06-1.63) active transportation than females. Black (RR = 1.1; 95% CI, 1.01-1.31) and Hispanic (RR = 1.2; 95% CI, 1.05-1.31) adolescents were more likely to engage in any active transportation than whites. Young adult males were more likely to participate in any (RR = 1.3; 95% CI, 1.20-1.50) and daily (RR = 1.3; 95% CI, 1.08-1.55) active transportation than females. Young adults with a lower family income, and both adolescents and young adults with a lower household education, were more likely to engage in any and daily active transportation. We also observed an inverse relationship between weight class and active transportation participation. CONCLUSION Active transportation was higher in males, minority, and lower income youth. Our study findings provide evidence for physical activity interventions, suggesting active transportation is a feasible target for low-income and minority youth to reduce physical activity disparities and support optimal health.
Collapse
Affiliation(s)
- Emily M D'Agostino
- Department of Family Medicine and Community Health, Duke University School of Medicine, Durham, North Carolina; Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina.
| | - Sarah C Armstrong
- Department of Family Medicine and Community Health, Duke University School of Medicine, Durham, North Carolina; Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina; Department of Pediatrics, Duke University School of Medicine, Durham, North Carolina; Duke Clinical Research Institute, Duke University School of Medicine, Durham, North Carolina
| | - Emily P Alexander
- Department of Pediatrics, Duke University School of Medicine, Durham, North Carolina
| | - Truls Østbye
- Department of Family Medicine and Community Health, Duke University School of Medicine, Durham, North Carolina; Duke Global Health Institute, Duke University School of Medicine, Durham, North Carolina
| | - Cody D Neshteruk
- Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina
| | - Asheley C Skinner
- Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina; Duke Clinical Research Institute, Duke University School of Medicine, Durham, North Carolina
| |
Collapse
|
9
|
Sriram K, Mulder HS, Frank HR, Santanam TS, Skinner AC, Perrin EM, Armstrong SC, Peterson ED, Pencina MJ, Wong CA. The Dose-Response Relationship Between Physical Activity and Cardiometabolic Health in Adolescents. Am J Prev Med 2021; 60:95-103. [PMID: 33341183 PMCID: PMC7769140 DOI: 10.1016/j.amepre.2020.06.027] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2020] [Revised: 06/14/2020] [Accepted: 06/22/2020] [Indexed: 01/06/2023]
Abstract
INTRODUCTION This study examines the dose-response relationship between moderate-to-vigorous physical activity and cardiometabolic measures in adolescents. METHODS Cross-sectional spline analyses were performed using 2003-2016 National Health and Nutrition Examination Survey data among adolescents (aged 12-19 years, N=9,195) on objectively measured (2003-2006) and self-reported (2007-2016) weekly mean minutes of moderate-to-vigorous physical activity and cardiometabolic measures (systolic and diastolic blood pressure, total cholesterol, high-density lipoprotein, BMI, and cardiorespiratory fitness). Inflection points were determined for nonlinear relationships. RESULTS For objective moderate-to-vigorous physical activity, female adolescents had significant nonlinear associations with inflection points at 90 minutes/week for BMI percentile and systolic blood pressure. Male adolescents had inflection points at 150 weekly minutes of objective activity for BMI percentile and cardiorespiratory fitness. BMI percentile was about 7% lower for female and male adolescents at 150 weekly minutes of objectively measured moderate-to-vigorous physical activity than at 0 minutes. For self-reported moderate-to-vigorous physical activity, inflection points were at 375 minutes/week (diastolic blood pressure for female adolescents) and 500 minutes/week (systolic blood pressure for male adolescents). CONCLUSIONS Among several significant dose-response relationships between physical activity and cardiometabolic health in adolescents, consistent and often nonlinear relationships were identified for BMI, with inflection points at 90-150 minutes of objective moderate-to-vigorous physical activity. Notable differences in associations and linearity were identified by sex and physical activity measure (objective or self-reported). These results support calls for any increase in physical activity among adolescents and suggest that recommendations closer to the adult guidelines of 150 weekly minutes of physical activity may be health promoting and more attainable for youth than the current recommendation of 420 weekly minutes.
Collapse
Affiliation(s)
| | | | | | - Taruni S Santanam
- Duke-Margolis Center for Health Policy, Duke University, Durham, North Carolina
| | - Asheley C Skinner
- Duke Clinical Research Institute, Durham, North Carolina; Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina; Duke Center for Childhood Obesity Research, Duke University School of Medicine, Durham, North Carolina
| | - Eliana M Perrin
- Duke Center for Childhood Obesity Research, Duke University School of Medicine, Durham, North Carolina; Department of Pediatrics, Duke University School of Medicine, Durham, North Carolina
| | - Sarah C Armstrong
- Duke Clinical Research Institute, Durham, North Carolina; Duke Center for Childhood Obesity Research, Duke University School of Medicine, Durham, North Carolina; Department of Pediatrics, Duke University School of Medicine, Durham, North Carolina
| | | | - Michael J Pencina
- Duke University School of Medicine, Durham, North Carolina; Duke Clinical Research Institute, Durham, North Carolina
| | - Charlene A Wong
- Duke Clinical Research Institute, Durham, North Carolina; Duke Center for Childhood Obesity Research, Duke University School of Medicine, Durham, North Carolina; Department of Pediatrics, Duke University School of Medicine, Durham, North Carolina; Duke Children's Health and Discovery Initiative, Duke University School of Medicine, Durham, North Carolina
| |
Collapse
|
10
|
Frank HR, Mulder H, Sriram K, Santanam TS, Skinner AC, Perrin EM, Armstrong SC, Peterson ED, Pencina M, Wong CA. The Dose-Response Relationship Between Physical Activity and Cardiometabolic Health in Young Adults. J Adolesc Health 2020; 67:201-208. [PMID: 32571756 PMCID: PMC11218041 DOI: 10.1016/j.jadohealth.2020.04.021] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2019] [Revised: 03/31/2020] [Accepted: 04/21/2020] [Indexed: 02/01/2023]
Abstract
PURPOSE Guidelines recommend 150 minutes of weekly moderate-to-vigorous physical activity (MVPA) for all adults, although physical activity level correlation with cardiometabolic health is not well characterized for young adults. We determined the dose-response relationship of MVPA on measures of cardiometabolic health in young adults. METHODS We examined young adults (aged 20-29 years; N = 5,395, 47.9% female) in the 2003-2016 National Health and Nutrition Examination Survey. Exposures were objective (accelerometer based) and self-reported weekly mean minutes of MVPA. Cardiometabolic outcome measures were body mass index (BMI), high-density lipoprotein (HDL), total cholesterol, systolic blood pressure, and diastolic blood pressure. The dose-response relationships were assessed with unadjusted spline analyses. Sex-stratified outcomes were modeled using multivariable linear regression with mean estimated change presented for 150-minute dose increases of MVPA. RESULTS Among females, associations between objective activity and cardiometabolic measures were all linear. Compared with no activity, 150 minutes of objective activity was associated with a lower BMI (-1.37 kg/m2) and total cholesterol (-4.89 mg/dL), whereas 150 minutes of self-reported activity was associated with a higher HDL (1 mg/dL) and lower diastolic blood pressure (-.42 mm Hg). Among males, an inflection point was identified in the dose-response curves for objective activity with BMI around 100 minutes. Compared with no activity, 150 self-reported minutes was associated with lower BMI (-.26 kg/m2), higher HDL (.52 mg/dL), and lower total cholesterol (-1.35 mg/dL). CONCLUSIONS The dose-response relationships between physical activity and cardiometabolic markers in young adults were predominantly linear, supporting public health calls for any increase in physical activity in this population.
Collapse
Affiliation(s)
| | - Hillary Mulder
- Duke Clinical Research Institute, Durham, North Carolina
| | | | - Taruni S Santanam
- Duke-Margolis Center for Health Policy, Duke University, Durham, North Carolina
| | - Asheley C Skinner
- Duke Clinical Research Institute, Durham, North Carolina; Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina; Duke Center for Childhood Obesity Research, Duke University School of Medicine, Durham, North Carolina
| | - Eliana M Perrin
- Duke Center for Childhood Obesity Research, Duke University School of Medicine, Durham, North Carolina; Department of Pediatrics, Duke University School of Medicine, Durham, North Carolina
| | - Sarah C Armstrong
- Duke Clinical Research Institute, Durham, North Carolina; Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina; Duke Center for Childhood Obesity Research, Duke University School of Medicine, Durham, North Carolina; Department of Pediatrics, Duke University School of Medicine, Durham, North Carolina
| | | | | | - Charlene A Wong
- Duke Clinical Research Institute, Durham, North Carolina; Duke Center for Childhood Obesity Research, Duke University School of Medicine, Durham, North Carolina; Department of Pediatrics, Duke University School of Medicine, Durham, North Carolina; Children's Health and Discovery Institute, Duke University School of Medicine, Durham, North Carolina.
| |
Collapse
|
11
|
Secular Trends in the Achievement of Physical Activity Guidelines: Indicator of Sustainability of Healthy Lifestyle in Czech Adolescents. SUSTAINABILITY 2020. [DOI: 10.3390/su12125183] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
(1) Background: The increasing socio-economic and educational demands on adolescents should be reflected in their lifestyles accordingly. The aim of the study was therefore to identify the trends in the achievement of physical activity (PA) guidelines by Czech adolescents through objective and subjective PA monitoring. (2) Methods: The research was carried out between 2010 and 2017 and involved 49 secondary schools, 2 higher vocational schools, and 8 universities in the Czech Republic. In total, the projects involved 1129 girls and 779 boys. PA monitoring was performed by Yamax SW-700 pedometers and IPAQ-long questionnaires. (3) Results: The results according to the average number of steps/day confirm a decrease in the amount of PA in boys and girls and in the achievement of the recommended 11,000 steps/day. However, the estimates of meeting the recommended weekly PA expressed as MET-min/week based on the IPAQ-long questionnaire are not so convincing about the decrease. (4) Conclusions: The combination of objective monitoring of weekly PA using wearables and subjective estimates of weekly PA using a questionnaire regarding the ease of application, appears to be a sufficient indicator of the status of and trend in PA and thus the sustainability of a healthy lifestyle in youths.
Collapse
|