Longitudinal Associations of Physical Activity Among Females from Adolescence to Young Adulthood

Young, Deborah Rohm; Cohen, Deborah A.; Koebnick, Corinna; Mohan, Yasmina; Saksvig, Brit I.; Sidell, Margo; Wu, Tong Tong

doi:10.1016/j.jadohealth.2018.05.023

Cited by 17 publications

(33 citation statements)

References 40 publications

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“…The average decrease of MVPA in girls was 41% compared to boys, who experienced a 7% decrease. The decrease of MVPA during early adolescence and especially in girls [82,83] was expected since such trends have been observed also in other studies [13,16,84,85]. The findings from the present study concur with a comparative study between Denmark, Portugal, Estonia, and Norway, which discovered decreasing MVPA in pre-adolescents, which was more pronounced in boys (approx.…”

Section: Discussionsupporting

confidence: 92%

Decline of physical activity in early adolescence: A 3-year cohort study

et al. 2020

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This study analyses the changes of moderate-to-vigorous physical activity (MVPA) in a cohort of boys and girls aged 11 (n = 50) and 14 (n = 50). Physical activity was assessed with Bodymedia SenseWear Pro Armband monitor for 6 days in October 2013 and October 2016, considering 90% of daily wear time (21h and 40min). The initial sample (n = 160) included the children who wore the monitors at age 11 but the final analyzed sample included only those children from the initial sample (n = 50), whose data fulfilled the inclusion criteria at age 11 and 14. Physical fitness and somatic characteristics of the final sample (n = 50) were compared to a representative sample of Slovenian schoolchildren at ages 11 (n = 385) and 14 (n = 236) to detect possible bias. Changes in MVPA were controlled for maturity using the timing of adolescent growth spurt as its indicator. The average MVPA decreased more than one quarter (34.96 min) from age 11 to age 14. Children were significantly more active at age 11 than at age 14 (p < 0.01, d = 0.39). The timing of puberty onset in girls was significantly earlier (12.01 ± 1.0 years) (p < 0.01) than in boys (13.2 ± 0.75 years) (p < 0.01, d = 1.35). There was a significant gender difference in moderate-to vigorous physical activity at age 14 (p < 0.05, η 2 = 0.12) and between moderate-to vigorous physical activity at age 11 and 14 (η 2 = 0.11). After controlling for the timing of adolescent growth spurt the girls at age 11 showed significantly higher level of physical activity than at age 14 (p < 0.01, η 2 = 0.17). Early adolescence is crucial for the development of physical activity behaviours, which is especially pronounced in girls. The significant decline of MVPA between ages 11 and 14 in Slovenia are likely influenced by environmental changes since the timing of adolescent growth spurt did not prove as a factor underlying the decline of MVPA.

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Section: Discussionsupporting

confidence: 92%

Decline of physical activity in early adolescence: A 3-year cohort study

et al. 2020

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“…In line with previous studies [22], our findings revealed gender differences in both behaviours, PA and screen ones. Regarding the bidirectional relationship analysis, it was only among girls that the results demonstrated an association between light PA and VG use.…”

Section: Discussionsupporting

confidence: 93%

“…There is evidence suggesting that PA and sedentary behaviours might vary by gender [22]. Girls often report more screen time and less PA compared with boys.…”

Section: Introductionmentioning

confidence: 99%

Stability and bidirectional relationship between physical activity and sedentary behaviours in Brazilian adolescents: Longitudinal findings from a school cohort study

et al. 2019

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PurposeWe investigated the stability, correlations and bidirectional relationship of light physical activities (PA), moderate and vigorous PA (MVPA), television viewing (TV) and video game/computer use (VG) in Brazilian adolescents.MethodsAdolescent Nutritional Assessment Longitudinal Study-ELANA is a middle school cohort study conducted in Rio de Janeiro-Brazil in 2010–2012. Self-reported data on PA (International Physical Activity Questionnaire- IPAQ) and screen activities were obtained from 810 adolescents (mean ages of 10.9 years old (SD 0.78) for girls; 11 years old (SD 0.85) for boys) to perform autoregressive cross-lagged structural equation models in two time points for PA and three time points for screen activities.ResultsThere was no significant stability of light PA and MVPA for boys and girls. Moderate stability of screen activities were found for both genders, with a significant coefficient of TV for boys (T1-T2:0.29; T2-T3:0.27 p<0.001); and VG for boys (T1-T2:0.33; T2-T3:0.35 p<0.001) and girls (T1-T2: 0.26; T2-T3:0.37 p<0.01). Significant lagged effects were obtained only among girls: light PA had effect on VG (-0.10 p<0.01), as well as in the opposite direction of TV on light PA (-0.03 p<0.01) and TV on MVPA (-0.11 p<0.01).ConclusionThe light PA, MVPA and screen activities (among girls) did not demonstrate stability over time. A warning scenario was suggested by the stability of high amounts of screen activities among boys over time. Screen activities had bidirectional association with light PA and MVPA among girls over time.

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“…These results, which are based on population-level averages , mask individual variation, with some subgroups of young people increasing or decreasing PA, and others maintaining (in)activity. In recent years, it has thus become more common to identify distinct PA patterns 1 in efforts to gain more specific information on PA evolution over time [ 2 , 11 , 12 ]. For example, using accelerometry to measure moderate-to-vigorous PA (MVPA) at ages 5–19, Kwon et al [ 13 ] identified four trajectories, namely consistently inactive (15%), consistently active (18%), decreasing moderate PA (53%), and substantially decreasing high PA (14%).…”

Section: Introductionmentioning

confidence: 99%

“…For example, using accelerometry to measure moderate-to-vigorous PA (MVPA) at ages 5–19, Kwon et al [ 13 ] identified four trajectories, namely consistently inactive (15%), consistently active (18%), decreasing moderate PA (53%), and substantially decreasing high PA (14%). In some studies, a subgroup of PA increasers has been further identified, with a prevalence varying between 7 and 14% [ 2 , 3 , 7 ].…”

Section: Introductionmentioning

confidence: 99%

Physical activity from adolescence to young adulthood: patterns of change, and their associations with activity domains and sedentary time

Aira

Vasankari

Heinonen

et al. 2021

Int J Behav Nutr Phys Act

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Background Longitudinal studies demonstrate an average decline in physical activity (PA) from adolescence to young adulthood. However, while some subgroups of adolescents decrease activity, others increase or maintain high or low activity. Activity domains may differ between subgroups (exhibiting different PA patterns), and they offer valuable information for targeted health promotion. Hence, the aim of this study was to identify PA patterns from adolescence to young adulthood; also to explore the associations of (i) changes in PA domains and in sedentary time, (ii) sociodemographic factors, and (iii) self-rated health with diverging PA patterns. Methods The observational cohort study data encompassed 254 adolescents at age 15 and age 19. K-means cluster analysis for longitudinal data was performed to identify participant clusters (patterns) based on their accelerometry-measured moderate-to-vigorous PA (MVPA). Logistic regressions were applied in further analysis. Results Five PA patterns were identified: inactivity maintainers (n = 71), activity maintainers (n = 70), decreasers from moderate (to low) PA (n = 61), decreasers from high (to moderate) PA (n = 32), and increasers (n = 20). At age 15, participation in sports clubs (SC, 41–97%) and active commuting (AC, 47–75%) was common in all the patterns. By age 19, clear dropout from these activities was prevalent (SC participation mean 32%, AC 31–63%). Inactivity maintainers reported the lowest amount of weekly school physical education. Dropout from SC – in contrast to non-participation in SC – was associated with higher odds of being a decreaser from high PA, and with lower odds of being an inactivity maintainer. Maintained SC participation was associated with higher odds of belonging to the decreasers from high PA, and to the combined group of activity maintainers and increasers; also with lower odds of being an inactivity maintainer. Maintenance/adoption of AC was associated with decreased odds of being an inactivity maintainer. Self-reported health at age 19 was associated with the patterns of maintained activity and inactivity. Conclusions PA patterns diverge over the transition to adulthood. Changes in SC participation and AC show different associations with diverging PA patterns. Hence, tailored PA promotion is recommended.

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Longitudinal Associations of Physical Activity Among Females from Adolescence to Young Adulthood

Cited by 17 publications

References 40 publications

Decline of physical activity in early adolescence: A 3-year cohort study

Decline of physical activity in early adolescence: A 3-year cohort study

Stability and bidirectional relationship between physical activity and sedentary behaviours in Brazilian adolescents: Longitudinal findings from a school cohort study

Physical activity from adolescence to young adulthood: patterns of change, and their associations with activity domains and sedentary time

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