Social support from family and friends for physical activity in adolescence: analysis with structural equation modeling

Perceived barriers to maintain physical activity and its association to mental health status of Bangladeshi adults: a quantile regression approach

Insufficient physical activity and unhealthy lifestyle preferences have been significant concerns for decades. This study aimed to determine the perceived barriers to maintaining physical activity among adults in three major cities of Bangladesh and their association with mental health status. This is a cross-sectional study where 400 participants were selected using a multistage sampling technique. Twenty municipal wards were randomly selected from three cities, followed by a convenient selection of the study participants from each ward. Questionnaires about perceived physical activity barriers were developed based on previously published literature. The DASS-21 scale assessed the mental health status of the study participants. Descriptive statistics were applied to narrate the baseline characteristics of the respondents. The Shapiro-Wilk test was used to check the normality of the perceived physical activity scores. Quantile regression analysis was applied to model the physical activity barrier scores depending on several covariates. Five quantiles were used: the 10th, 25th, 50th, 75th, and 90th. A p-value less than 0.05 was considered significant for hypothesis testing. Among the respondents, 68.50% were male, half of them were married, 68.0% belonged to nuclear families, 48.0% completed graduate level education, 34.25% were service holders, one-third of the respondent's working hours were 6-8 h, and 19.50% belongs to the overweight and obese groups. Poor traffic and construction work near the road (60.30%) was seen as the most significant barrier to physical activity. Over half of the respondents stated that lack of time, facilities, and expenses hinder physical activity. Mental health status reported mild to extremely severe levels of depression (32%), anxiety (47%), and stress (42.50%), respectively. Significant associations between the perceived physical activity scores and gender, family type, occupation, income, BMI, anxiety, and depression were obtained. Ensuring a safe environment, facilitating accessibility and availability of low-cost exercise facilities, improving road and traffic conditions, and providing appropriate mental health counseling may help to mitigate physical activity barriers.

Is Greater Social Support from Parents and Friends Related to Higher Physical Activity Levels among Adolescents?

Increasing physical activity levels during adolescence have been put on the agenda by several researchers. This study verified the association between social support from parents and friends and different amounts of moderate-to-vigorous physical activity (MVPA) among adolescents in public school. The present study had a cross-sectional design and included a representative sample of 1984 adolescents (aged 15-17). The ASAFA (Apoio Social para prática de Atividade Física para Adolescentes) scale and the QAFA (Questionário de Atividade Física para Adolescentes) were used to determine social support and physical activity, respectively. For statistical analysis, a conceptual model for structured equations and weighted least squares mean and variance adjusted were applied. Social support from parents increased the odds of engaging in 180 min/week of MVPA by 46.7%, 47.8% for 300 min/week, and 45.5% for 420 min/week. Social support from friends showed similar relations trends: 23.8% for 180 min/week, 23.6% for 300 min/week, and 21.2% for 420 min/week. Social support from parents and friends increased the probability of adolescents reaching the amounts of physical activity investigated. The results indicate that greater social support (from parents and friends) was associated with a higher level of MVPA in Brazilian adolescents.

Moderate-Vigorous Physical Activity, Family Support, Peer Support, and Screen Time: An Explanatory Model

It is important to investigate how the different factors of physical activity and screen time influence each population group in order to design effective proposals for health promotion. This study aims to: (1) create an explanatory model to establish the relationships between moderate-vigorous physical activity time, screen time, family support, and peer support of adolescents in the region of Soria (Spain); (2) contrast the explanatory structural model according to the intensity of physical activity. A representative sample of 694 adolescents, aged 12-17 years, from the region of Soria was selected. The Four by One-Day Physical Activity Questionnaire, the Parent Support Scale, and the Peer Support Scale were administered. The data were treated according to a structural equation model to demonstrate the relationships between the study variables. The Chi-square p-values and standardised fit indices (CFI, NFI, IFI, TLI, and RMSEA) were appropriate. Moreover, acceptable parameters were obtained in the general equations. The theoretical model is useful to explain the relationships between moderate-vigorous physical activity, family support, peer support, and screen time. In addition, models that differentiate between moderate and vigorous physical activity independently are also useful. Peer support plays a particular role relative to physical activity time, and family support plays a specific role regarding screen time.

Motivations and barriers towards optimal physical activity level: A community-based assessment of 28 EU countries

Regular physical activity (PA) is one of the most important determinants of a healthy lifestyle and improved physical and mental well-being. Despite the health benefits of regular PA, the studies show low levels of PA among European adolescents and adults. An increase in physical inactivity has been associated with different personal and environmental factors. This study aimed to investigate positive motivation and barriers to community-based PA. Face-to-face interviews were conducted to collect data on PA, positive motivation and barriers to PA, demographic, and socioeconomic factors. Moderate and vigorous levels of PA were assessed. Regression analysis was applied to estimate the associations for positive and negative reasons for meeting PA recommendations. Data were available for 28,031 adults with a mean age of 48.3 (SD = 18.8) and 51.8% women. Significant variations in individual characteristics were seen between different types of communities. The percentage of participants who reported achieving recommended levels of PA was the lowest in rural areas (44.3%). Regression models showed that most motivational factors had a strong positive association with meeting PA recommendations. We observed the effects of interactions between making acquaintances, having fun and the type of community on meeting PA recommendations. The effects of interactions between the type of community and barriers to PA such as price, risk of injury, disability / illness, and a lack of motivation on PA recommendations were observed. In conclusion, the motivational factors and barriers to PA are associated with the physical environment, and community-based programs and policies for encouraging PA participation are needed.

Physical Activity, Energy Expenditure, Screen Time and Social Support in Spanish Adolescents-Towards an Explanatory Model about Health Risk Factors

Youth obesity has been a pandemic for decades. One of its causes is a low level of physical activity. It is necessary to know the specific situation of adolescents and the factors that influence it in order to be able to act accordingly. The first aim of the current study is to create an explanatory model to establish the relationships between light physical activity time, light physical activity energy expenditure, screen time and social support. The second aim is to propose a theoretical model specifying the relationships between moderate-vigorous physical activity time, moderate-vigorous physical activity energy expenditure, screen time and social support. The study design was non-experimental (ex post facto), descriptive-correlational and cross-sectional. A total of 694 adolescents from the region of Soria (12-17 years) participated in the study. The instruments administered were the Four by One-Day Physical Activity Questionnaire, Parent Support Scale and Peer Support Scale. Two structural equation models were developed to analyse the relationships between the variables that comprised the explanatory models. The results show that social support had a negative influence on screen time in the proposed model in relation to light physical activity (r = -0.210; p ≤ 0.001) and in the proposed one regarding moderate-vigorous physical activity (r = -0.173; p ≤ 0.05). Social support was negatively related to light physical activity time (r = -0.167; p ≤ 0.05). Family support had a greater influence than did peer support. In conclusion, the models for light and moderate-vigorous physical activity are useful to describe the relationships between time, energy expenditure, screen time and social support.

Physical activity habits and their relationship with sociodemographic factors in Chilean adolescents

Physical activity plays an important role in the well-being and development of adolescents. Physical activity habits expressed in terms of frequency and duration are consistently associated with sociodemographic factors such as age, gender, and socioeconomic status. However, there is less evidence of the relationship between the type and context of physical activity in adolescents. The aim of this article is to analyze physical activity habits and their relationship with sociodemographic factors in Chilean adolescents. The cross-sectional study consisted of 7,263 adolescents aged between 10 and 20 years old, students from both public and private schools in all regions of Chile. Physical activity habits were examined by means of a self-report questionnaire. The age groups were classified according to the three stages of adolescence (early: 10 to 13, middle: 14 to 16, and late: 17 to 20 years old). Socioeconomic level was established based on the school vulnerability index (SVI) of the school attended by each adolescent. In the study it was obvious to the level of physical activity for the adolescents was below the international recommendations. A statistically significant association can also be found between the sociodemographic factors studied and the physical activity habits reported by the young people. The multivariate regression analysis established that the risk of not achieving the physical activity recommendations was 2.8 times higher in females than in males, 2.4 times higher in the older age groups (14–16 and 17–20 years old) compared to the 10–13-year age range and 1.1 times in the medium and high vulnerability groups than in the low socioeconomic vulnerability group. These findings highlight the importance of considering all these factors holistically whenever designing programs or public policies that promote the development of healthy physical activity habits in adolescents.

An Explanatory Model of the Relationships between Physical Activity, Social Support and Screen Time among Adolescents

Effective physical activity studies are necessary to understand how factors involved in physical activity mediate behaviour. Therefore, more reliable explanatory models can be generated in order to design effective actions to promote physical activity. The study had two aims: (1) to develop an explanatory model to identify and establish the relationships between physical activity, social support and screen time among adolescents; and (2) to contrast the explanatory structural model by means of a multi-group analysis according to sex. The study design was cross-sectional with descriptive and correlational analysis. The research was carried out with a representative sample of adolescents from the province of Soria (mean age 14.06 ± 1.27 years). The instruments used were: Four by One-Day Physical Activity Questionnaire, Parent Support Scale and Peer Support Scale. The results show that social support had a negative relationship with screen time (r = −0.178; p ≤ 0.001); males had a positive relationship between physical activity and screen time (r = 0.118; p ≤ 0.05); and peer support had more influence on social support than parental support. In conclusion, the proposed model was effective in triangulating the relationships between physical activity, social support and screen time in a novel way, while allowing us to discriminate these results according to participants’ sex.

Examining Adolescent Tennis Participation in Contemporary China Using an Ecological Framework

Physical activity and sport participation behaviors in children and adolescents are consistently shaped by surrounding ecological systems. Accumulating evidence highlights individual, family, peer, school and teacher, and macroenvironment elements such as policies that affect unstructured physical activity choices in youth populations. However, the reason for participation has not been fully interpreted from the perspective of the youth themselves, especially those from an Asian cultural background. In our study, we aimed to better understand the self-identified reasons for adolescents’ participation in non-organized or spontaneous tennis practice in contemporary China. Twenty-six adolescents and informants were recruited in mainland China and participated in semi-structured interviews to provide thick descriptions of their continued tennis participation behaviors. Data were coded and analyzed via NVivo 12. Four themes emerged: (a) Individual characteristics and self-interpretations of tennis culture; (b) microsystems mediating adolescents’ tennis participation; (c) barriers and obstacles impacting tennis participation; and (d) policies and macroenvironments. Adolescent tennis participation is a result of the integration effect of the sociocultural and ecological factors dominated by multifaceted ecological systems. As a particular vision of their physical activity experiences, adolescents’ interpretation of tennis and their broader worldview has been continuously reshaped by concurrent sport and educational policies.

Correlations between Physical Activity Participation and the Environment in Children and Adolescents: A Systematic Review and Meta-Analysis Using Ecological Frameworks

Physical activity (PA) and sports are efficient ways to promote the young generation’s physical and mental health and development. This study expected to demonstrate the complexity of correlates associated with children’s and adolescents’ non-organized PA participation. Following the Preferred Reporting Items for Systematic Review and Meta-analysis Protocols (PRISMA), a systematic review and meta-analysis were applied. Seven electronic databases were systematically searched to identify eligible articles based on a series of inclusion and exclusion criteria. The internal validity of the systematic reviews thus identified was evaluated using a validated quality instrument. Calculations were produced in SPSS 27.0 and Comprehensive Meta-Analysis 3.3. Thirty-nine eligible studies (N = 324,953) with moderate to high quality were included. No potential publication bias was detected using statistical analyses. The meta-analysis revealed that the overall ecological factors correlated positively with children and adolescents’ PA; the meta-analytic average of the correlations was (′r = 0.32, p < 0.001). Results from subgroup analysis indicated that theory-based influence factors achieved moderate effect with boys (′r = 0.37, p < 0.001) and girls (′r = 0.32, p < 0.001) in PA participation. Interestingly, higher correlations were found between ecological factors and twins’ PA participation (′r = 0.61, p = 0.001). Further, individual (′r = 0.32, p < 0.001), macro-, and chronosystems factors (′r = 0.50, p < 0.001) appeared slightly more influential than microsystems factors (′r = 0.28, p < 0.001) on children and adolescents’ PA participation. Although findings from the included studies covered were to some extent heterogeneous, it is possible to identify consistent correlates of PA in children and adolescents. The results supported that PA is a complex and multi-dimensional behavior, which is determined by numerous biological, psychological, sociocultural, and environmental factors. Future studies that focus on the integration effect of macrosystem and chronosystem environmental factors, and apply longitudinal designs and objective measurements are encouraged to further unfold the complexity of the ecological system and its implications in promoting children and adolescents’ PA participation.