A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
Longitudinal physical activity patterns and the development of cardiometabolic risk factors during adolescence (2023)

Aira, T., Kokko, S. P., Heinonen, O. J., Korpelainen, R., Kotkajuuri, J., Parkkari, J., Savonen, K., Toivo, K., Uusitalo, A., Valtonen, M., Villberg, J., Niemelä, O., Vähä‐Ypyä, H., & Vasankari, T. (2023). Longitudinal physical activity patterns and the development of cardiometabolic risk factors during adolescence. Scandinavian Journal of Medicine and Science in Sports, 33(9), 1807-1820. https://doi.org/10.1111/sms.14415

JYU-tekijät tai -toimittajat

Aira, Tuula
Kokko, Sami
Kotkajuuri, Jimi
Parkkari, Jari
Villberg, Jari

Julkaisun tiedot

Julkaisun kaikki tekijät tai toimittajat: Aira, Tuula; Kokko, Sami Petteri; Heinonen, Olli Juhani; Korpelainen, Raija; Kotkajuuri, Jimi; Parkkari, Jari; Savonen, Kai; Toivo, Kerttu; Uusitalo, Arja; Valtonen, Maarit; et al.

Lehti tai sarja: Scandinavian Journal of Medicine and Science in Sports

ISSN: 0905-7188

eISSN: 1600-0838

Julkaisuvuosi: 2023

Ilmestymispäivä: 30.05.2023

Volyymi: 33

Lehden numero: 9

Artikkelin sivunumerot: 1807-1820

Kustantaja: Wiley

Julkaisumaa: Britannia

Julkaisun kieli: englanti

DOI: https://doi.org/10.1111/sms.14415

Julkaisun avoin saatavuus: Avoimesti saatavilla

Julkaisukanavan avoin saatavuus: Osittain avoin julkaisukanava

Julkaisu on rinnakkaistallennettu (JYX): https://jyx.jyu.fi/handle/123456789/87575

Tiivistelmä

Purpose
To examine the associations between longitudinal physical activity (PA) patterns and the development of cardiometabolic risk factors from adolescence to young adulthood.

Methods
This 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, using inactivity maintainers as a reference). The outcomes were: glucose, insulin, homeostasis model assessment for insulin resistance (HOMA-IR), total cholesterol, HDL and LDL cholesterol, triglycerides, blood pressure, and body 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.

Results
Insulin and BMI increased among decreasers from moderate to low PA (β for insulin 0.23, 95% CI 0.03–0.46; β for 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 (β 0.18, CI 0.02–0.35) among decreasers from high to moderate PA. By contrast, among increasers, blood pressure declined (systolic β −6.43, CI −12.16 to −0.70; diastolic β −6.72, CI −11.03 to −2.41).

Conclusions
Already during the transition to young adulthood, changes in PA are associated with changes in cardiometabolic risk factors. Favorable blood pressure changes were found among PA increasers. 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.

YSO-asiasanat: sydän- ja verisuonitaudit; riskitekijät; verenpaine; painoindeksi; insuliiniresistenssi; fyysinen aktiivisuus; nuoret; nuoret aikuiset; kohorttitutkimus