Environmental correlates of total and domain-specific sedentary behaviour in young people. The UP&DOWN study

Physical activity and sedentary behavior among school-going adolescents in low- and middle-income countries: insights from the global school-based health survey

Background

The Global School Student Health Survey (GSHS) is being carried out by students in various countries across the globe to advance improved health programs for youth. However, in comparison to high-income countries, adolescents in low- and middle-income countries (LMICs) are generally at an early stage of understanding regarding physical activity (PA) and sedentary behavior (SB), often exhibiting low levels of PA and high levels of SB. Furthermore, there is limited evidence connecting PA and SB in school-going adolescents from LMICs.

Purpose

The objective of this review was to synthesize the available evidence regarding PA and sedentary behavior among school-going adolescents in LMICs using data from the GSHS.

Method

On March 18, 2023, a systematic literature search was performed across four electronic databases, namely Web of Science, PubMed, ScienceDirect, and EBSCO with n odaterestrictions. Studies were eligible if they: (1) utilization of data sourced from the Global Student-based Health Survey; (2) exploration of physical activity; (3) specific focus on adolescents; (4) conducted in low- and middle-income countries; (5) study design encompassing observational; (6) published as English journal articles.

Results

Among the 29 studies included in the analysis, the majority revealed elevated levels of sedentary behavior and diminished levels of PA in low- and middle-income countries. Furthermore, notable disparities in physical engagement and sedentary behavior were noted between male and female adolescents (p < 0.001). Augmented PA among teenagers was observed to correlate with higher consumption of vegetables and fruits (AOR = 1.30; 95% CI [1.13-1.50]; p < 0.001), decreased alcohol consumption, and a reduced prevalence of loneliness and depression (aOR 1.37, 95% CI [1.18-1.59]).

Conclusions

The results of this review affirm that in contrast to high-income countries, adolescents in low- and middle-income countries (LMICs) are in the early stages of comprehending physical activity, marked by low levels of PA. Physical activity and sedentary behavior in school-going adolescents from LMICs appear to be influenced by factors such as policies, cultural norms, socioeconomic conditions, as well as gender, and age.

Adolescents' physical activity and sedentary behaviour in Indonesia during the COVID-19 pandemic: a qualitative study of mothers' perspectives

BACKGROUND

Socio-behavioural adaptations during the COVID-19 pandemic may have significantly affected adolescents' lifestyle. This study aimed to explore possible reasons affecting changes in physical activity and sedentary behaviour in Indonesian adolescents during the pandemic based on mothers' perspectives.

METHODS

We recruited parents (n = 20) from the Yogyakarta region of Indonesia (July-August 2020) using purposive and snowball sampling. Individual interviews were audio-recorded, transcribed verbatim and anonymised. Data were imported into NVivo software for a reflexive thematic analysis.

RESULTS

The interviews lasted between 38 and 113 min (M = 65 min). Participants' age ranged between 36 and 54 years (M = 42.6 years). Participants' children ranged in age from 12 to 15 years (M = 13.7 years, female: 9, male: 11). Themes related to changes in physical activity during the pandemic were 1) self-determination and enjoyment, 2) supports from others, and 3) physical activity facilities and equipment. Themes related to changes in sedentary behaviour during the pandemic included 1) educational demands, 2) psychological effects due to the pandemic, 3) devices and internet availability, 4) parental control, and 5) social facilitators.

CONCLUSIONS

During the pandemic, mothers perceived their children to be less active and using more screen-based devices, either for educational or recreational purposes, compared to before. The present themes might be useful when developing interventions and policies promoting physical activity and reducing sedentary behaviour in adolescents. Interventions could, for example, consider increasing parents' and adolescents' awareness on current activity guidelines, providing education on healthier recreational screen time, and involving parents, peers, and teachers. Increasing the accessibility of physical activity facilities and equipment, making use of adolescents' favourite program and social media for interventions, and providing activities that are fun and enjoyable may also important.

Correlates of dual trajectories of physical activity and sedentary time in youth: The UP & DOWN longitudinal study

Trajectories of physical activity and sedentary time (SED) may differ between subgroups of youth. The aim of this study was to identify group-based dual trajectories of physical activity and SED and explore individual, social, and environmental correlates of these trajectories. Longitudinal data (three time points, baseline 2011-2012) of Spanish youth (n = 1597, mean age = 11.94 ± 2.52, 50.9% boys) were used. Moderate-to-vigorous physical activity (MVPA) and SED were assessed objectively at each time point, and 21 potential correlates were self-reported at baseline. Parallel process growth mixture models identified shared categorical latent groups, adjusting for school and age. Multinomial logistic regression models identified baseline correlates of a given trajectory. Four shared categorical latent groups were identified: (1) stable MVPA and decreasing SED (4%); (2) stable MVPA and increasing SED (3%); (3) consistently higher MVPA (18%); and (4) stable low MVPA and slight increase in SED (75%). Multinomial logistic regression models with group 3 as reference found: negative affect (RRR = 0.90, 95% CI 0.84-0.97), parental screen-time rules (RRR = 1.15, 95% CI 1.00-1.33), and household media equipment (RRR = 1.17, 95% CI 1.05-1.30) predicted likelihood of group 1 membership; cons of reducing SED (RRR = 2.70, 95% CI 1.77-4.10) predicted likelihood of group 2 membership; and co-participation in physical activity with friends (RRR = 0.80, 95% CI 0.69-0.94), fathers' modeling of TV viewing (RRR = 1.22, 95% CI 1.02-1.47), and household media equipment (RRR = 1.16, 95% CI 1.02-1.31) predicted likelihood of group 4 membership. Results suggest that strategies to improve MVPA and SED behaviors among youth may need to be multifaceted, targeting all levels of influence.

Sensor-based physical activity, sedentary time, and reported cell phone screen time: A hierarchy of correlates in youth

BACKGROUND

Evidence on correlates relies on subjective metrics and fails to include correlates across all levels of the ecologic model. We determined which correlates best predict sensor-based physical activity (PA), sedentary time (ST), and self-reported cell phone screen time (CST) in a large sample of youth, while considering a multiplicity of correlates.

METHODS

Using sensor-based accelerometry, we assessed the PA and ST of 2179 youths. A χ² automatic interaction detection algorithm was used to hierarchize the correlates associated with too much ST (> 50th percentile), insufficient moderate-to-vigorous PA (MVPA) (<60 min/day), and prolonged CST (≥2 h/day).

RESULTS

Among youth 10-14 years old, the correlates for being inactive consisted of being a girl, not having sport facilities in the neighborhood, and not perceiving the neighborhood as a safe place, whereas in the youth 15-18 years old, the correlate for being inactive was not performing sports (9.7% chance of being active). The correlates for predicting high ST in the younger group was not performing sports (55.8% chance for high ST), and in the older group, the correlates were not owning a pet, perceiving the neighborhood as safe, and having inactive parents (63.7% chance for high ST). In the younger group, the greatest chances of having high CST were among those who were in the last elementary school years, who were girls, and who did not have friends in the neighborhood (73.1% chance for high CST), whereas in the older group, the greatest chance for having high CST was among those who were girls and had a TV in the bedroom (74.3% chance for high CST).

CONCLUSION

To counteract ST and boost MVPA among youths, a specific focus on girls, the promotion of sport participation and facilities, neighborhood safety, and involvement of family must be prioritized.

Social ecological factors associated with physical activity and screen time amongst mothers from disadvantaged neighbourhoods over three years

BACKGROUND

Mothers from socioeconomically disadvantaged neighbourhoods are at elevated risk of physical inactivity and high levels of screen time. Yet, little is known regarding the social ecological factors that are longitudinally associated with physical activity and screen time in this target group, and whether the age of their children impacts these relationships. This study aimed to longitudinally examine the social ecological factors associated with physical activity and screen time amongst mothers living in socioeconomically disadvantaged neighbourhoods, and whether these differed according to their child's age.

METHODS

Data were from 895 mothers living in socioeconomically disadvantaged neighbourhoods (mean age 36.7 years) at baseline and three-year follow-up. Mothers self-reported weekly discretionary physical activity (leisure-time, LTPA; transport-related, TRPA) and screen time durations. Linear regression models assessed associations between five intrapersonal, three social and five physical environmental factors and LTPA, TRPA and screen time, adjusting for confounding factors, clustering by neighbourhood and baseline variables. Interaction analysis was conducted for age of children (younger and older children (n = 442) and mothers with older children (aged 5-12 years) only (n = 453).

RESULTS

In adjusted models, all intrapersonal factors (self-efficacy, enjoyment, outcome expectations, behavioural intentions and behavioural skill), social support from friends, neighbourhood cohesion and number of televisions were longitudinally associated with LTPA amongst all mothers. Interaction models showed that findings were generally consistent across groups (i.e., those with both younger and older children compared to those with older children only), with three exceptions. Physical activity enjoyment and social support from family were associated with LTPA only among mothers with older children. Neighbourhood cohesion was associated with screen time only amongst mothers with both younger and older children. No associations were detected for TRPA.

CONCLUSION

Intrapersonal, social and physical environmental factors were longitudinally associated with mother's LTPA, whilst neighbourhood cohesion was longitudinally associated with screen time behaviours amongst mothers. Interventions aimed at increasing LTPA amongst mothers (particularly those from socioeconomically disadvantaged neighbourhoods) may need to target all domains of the social ecological model and may require some tailoring according to the age of children. Further work is needed to identify longitudinal associations with screen time and TRPA in this population group.

Associations between the Home Physical Environment and Children's Home-Based Physical Activity and Sitting

It is important to understand the correlates of children's physical activity (PA) and sitting at home, where children spend significant time. The home social environment has an important influence; however, much less is known about the home physical environment. Therefore, the study aimed to assess relationships between the physical environment and children's sitting and PA at home. In total, 235 child-parent dyads were included in the analyses. Children spent 67% of their time at home sitting. Linear regression analyses examined associations between physical home environmental factors obtained via an audit and children's (55% girl, 10.2 ± 0.7) objective PA and sitting at home. Following adjustment for socio-demographics and social environmental factors, an open plan living area (OPLA), musical instrument accessibility and availability, and perceived house size were negatively and positively associated, whereas media equipment accessibility and availability was positively and negatively associated with sitting and standing, respectively. Additionally, an OPLA was positively associated with total and moderate-to-vigorous PA. Furthermore, sitting breaks were positively associated with objective garden size and negatively associated with digital TV. The physical home environment may have an important influence on children's sitting, standing and PA at home; therefore, interventions that target this environment are needed.