Longitudinal physical activity patterns and the development of cardiometabolic risk factors during adolescence

Author:

Aira Tuula1ORCID,Kokko Sami Petteri1ORCID,Heinonen Olli Juhani2ORCID,Korpelainen Raija345ORCID,Kotkajuuri Jimi6,Parkkari Jari78ORCID,Savonen Kai910ORCID,Toivo Kerttu7,Uusitalo Arja1112,Valtonen Maarit13ORCID,Villberg Jari1,Niemelä Onni14,Vähä‐Ypyä Henri15ORCID,Vasankari Tommi1516ORCID

Affiliation:

1. Faculty of Sport and Health Sciences, Research Centre for Health Promotion University of Jyväskylä Jyväskylä Finland

2. Paavo Nurmi Centre & Unit for Health and Physical Activity University of Turku Turku Finland

3. Medical Research Center (MRC) University of Oulu and University Hospital of Oulu Oulu Finland

4. Department of Sports and Exercise Medicine Oulu Deaconess Institute Foundation sr. Oulu Finland

5. Center for Life Course Health Research University of Oulu Oulu Finland

6. Department of Mathematics and Statistics University of Jyväskylä Jyväskylä Finland

7. Tampere Research Center of Sports Medicine Tampere Finland

8. Faculty of Sport and Health Sciences University of Jyväskylä Jyväskylä Finland

9. Department of Clinical Physiology and Nuclear Medicine Kuopio University Hospital Kuopio Finland

10. Kuopio Research Institute of Exercise Medicine Kuopio Finland

11. Clinic for Sports and Exercise Medicine Foundation for Sports and Exercise Medicine Helsinki Finland

12. Department of Sports and Exercise Medicine, Clinicum University of Helsinki Helsinki Finland

13. Research Institute for Olympic Sports, Jyväskylä Finland Jyväskylä Finland

14. Medical Research Unit and Department of Laboratory Medicine Seinäjoki Central Hospital and University of Tampere Tampere Finland

15. UKK Institute of Health Promotion Research Tampere Finland

16. Faculty of Medicine and Health Technology Tampere University Tampere Finland

Abstract

PurposeTo examine the associations between longitudinal physical activity (PA) patterns and the development of cardiometabolic risk factors from adolescence to young adulthood.MethodsThis cohort study encompassed 250 participants recruited from sports clubs and schools, and examined at mean age 15 and 19. Device‐measured moderate‐to‐vigorous PA was grouped into five patterns (via a data‐driven method, usinginactivity maintainersas a reference). The outcomes were:glucose,insulin,homeostasis model assessment for insulin resistance(HOMA‐IR),total cholesterol,HDL and LDL cholesterol,triglycerides,blood pressure, andbody mass index(BMI). Linear growth curve models were applied with adjustment for sex, age, fruit/vegetable consumption, cigarette/snuff use, and change in the device wear‐time.ResultsInsulin and BMI increased amongdecreasers from moderate to low PA(βfor insulin 0.23, 95% CI 0.03–0.46;βfor BMI 0.90; CI 0.02–1.78). The concentration of HDL cholesterol decreased (β−0.18, CI −0.31 to −0.05) and that of glucose increased (β0.18, CI 0.02–0.35) amongdecreasers from high to moderate PA. By contrast, amongincreasers, blood pressure declined (systolicβ−6.43, CI −12.16 to −0.70; diastolicβ−6.72, CI −11.03 to −2.41).ConclusionsAlready during the transition to young adulthood, changes in PA are associated with changes in cardiometabolic risk factors. Favorable blood pressure changes were found among PAincreasers. Unfavorable changes in BMI, insulin, glucose, and HDL cholesterol were found in groups with decreasing PA. The changes were dependent on the baseline PA and the magnitude of the PA decline.

Publisher

Wiley

Subject

Physical Therapy, Sports Therapy and Rehabilitation,Orthopedics and Sports Medicine

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