scholarly journals Prevalence and factors associated with active transportation to school for adolescents

2020 ◽  
Vol 54 ◽  
pp. 78
Author(s):  
Edina Maria De Camargo ◽  
Michael Pereira da Silva ◽  
Jorge Mota ◽  
Wagner De Campos
Keyword(s):  
Physical Activity ◽  
Social Support ◽  
Public Schools ◽  
Psychosocial Factors ◽  
Binary Logistic Regression ◽  
Active Transportation ◽  
Logistic Regression Models ◽  
Factors Associated ◽  
The Social ◽  
Parental Schooling

OBJECTIVE: To verify the prevalence and factors associated with active transportation to school (ATS) among Brazilian adolescents attending public schools. METHODS: Crossectional study with a representative sample of 1,984 adolescents (55.9% girls). Sociodemographic variables included were: gender, age, parental schooling, and socioeconomic status. Psychosocial factors included were: social support from parents and friends for physical activity. Walking, cycling, or skateboarding to school were considered models of active transportation. Binary logistic regression models verified sociodemographic and psychosocial factors association with ATS, adopting p < 0.05. RESULTS: The prevalence of active transportation to school was 37.7% (16.2% boys and 21.5% girls). For boys, ATS was associated with: social support from parents in practicing physical activity together as a family (OR = 1.57; 95%CI 1.09–2.25), giving them rides (OR = 1.56; 95%CI 1.04–2.32), and remarking their good performance on it (OR = 1.73; CI95 1.08–2.76); as well as the social support from friends in practicing physical activity together (OR = 2.23; 95%CI 1.35–3.69). For girls, the likelihood of using ATS increased with age (OR = 1.43; 95%CI 1.06–1.92) and having friends who practice physical activity together with them (OR = 1.48, 95%CI 1.04–2.10). CONCLUSION: Age and social support for physical activity were associated with ATS. Parents who practice together, give rides, and remark on physical activities increase the likelihood of adolescent boys using ATS. Social support from friends to physical activity increased the likelihood of both genders using ATS.

scholarly journals Longitudinal associations between neighbourhood trust, social support and physical activity in adolescents: evidence from the Olympic Regeneration in East London (ORiEL) study

2020 ◽  
pp. jech-2019-213412
Author(s):  
Nicolas Berger ◽  
Daniel Lewis ◽  
Matteo Quartagno ◽  
Edmund Njeru Njagi ◽  
Steven Cummins
Keyword(s):  
Physical Activity ◽  
Social Support ◽  
Social Environment ◽  
Ethnically Diverse ◽  
Logistic Regression Models ◽  
Final Sample ◽  
The Social ◽  
Proportional Odds Models ◽  
Multilevel Multiple Imputation ◽  
Walking To School

BackgroundMost UK adolescents do not achieve recommended levels of physical activity (PA). Previous studies suggest that the social environment could contribute to inequalities in PA behaviours, but longitudinal evidence is limited. We examined whether neighbourhood trust and social support were longitudinally associated with four common forms of PA: walking to school, walking for leisure, outdoor PA and pay and play PA. We further assessed whether gender moderated these associations.MethodsWe used longitudinal data from the Olympic Regeneration in East London (ORiEL) study. In 2012, 3106 adolescents aged 11–12 were enrolled from 25 schools in four deprived boroughs of East London, UK. Adolescents were followed-up in 2013 and 2014. The final sample includes 2664 participants interviewed at waves 2 and 3. We estimated logistic regression models using generalised estimating equations (GEEs) (pooled models) and proportional odds models (models of change) to assess associations between the social environment exposures and the PA outcomes, adjusting for potential confounders. Item non-response was handled using multilevel multiple imputation.ResultsWe found that different aspects of the social environment predict different types of PA. Neighbourhood trust was positively associated with leisure-type PA. Social support from friends and family was positively associated with walking for leisure. There was some evidence that changes in exposures led to changes in the PA outcomes. Associations did not systematically differ by gender.ConclusionThese results confirm the importance of the social environment to predict PA and its change over time in a deprived and ethnically diverse adolescent population.

Sociodemographic, Anthropometric, Functional and Psychosocial Factors Associated with Physical Activity in Older Adults

2021 ◽  
Author(s):  
Bianca Andrade de Sousa ◽  
Franciele Cascaes da Silva ◽  
Ítalo Lemes Ribeiro ◽  
David Braga de Lima ◽  
Rudney da Silva
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Psychosocial Factors ◽  
Factors Associated

Organized Physical Activity Program Participation, Physical Activity, and Related Psychosocial Factors Among Urban Adolescents

2021 ◽  
pp. 105984052110389
Author(s):  
Lorraine B. Robbins ◽  
Jiying Ling ◽  
Mei-Wei Chang
Keyword(s):  
Physical Activity ◽  
Social Support ◽  
Psychosocial Factors ◽  
Self Efficacy ◽  
Screen Time ◽  
Urban Adolescents ◽  
Physical Activity Program ◽  
Time Behavior ◽  
Program Participation ◽  
Activity Program

The study purpose was to examine whether adolescents who participated in organized physical activity (PA) programs differed from nonparticipants in motivation, social support, and self-efficacy related to PA; PA (min/hr); and sedentary screen time behavior. Thirty-nine 5th–7th grade adolescents participated in organized PA programs; 41 did not. Approximately 56.3% were Black, and 52.5% had annual family incomes <$20,000. Compared to nonparticipants, those who participated reported significantly higher social support ( M = 2.32 vs. 3.13, p < .001) and fewer hours watching television or movies on a usual weekend day ( M = 2.49 vs. 1.59, p = .016); and had higher accelerometer-measured vigorous PA ( M = 0.58 vs. 1.04, p = .009) and moderate-to-vigorous PA ( M = 2.48 vs. 3.45, p = .035). Involving adolescents in organized PA programs may be important for improving their moderate-to-vigorous PA, vigorous PA, and related psychosocial factors, as well as reducing sedentary screen time behavior.

scholarly journals Social Support Patterns of Middle-Aged and Older Adults Within a Physical Activity App: Secondary Mixed Method Analysis

JMIR Aging ◽  
10.2196/12496 ◽  
2019 ◽  
Vol 2 (2) ◽  
pp. e12496 ◽  
Author(s):  
Zakkoyya H Lewis ◽  
Maria C Swartz ◽  
Eloisa Martinez ◽  
Elizabeth J Lyons
Keyword(s):  
Physical Activity ◽  
Social Support ◽  
Older Adults ◽  
Social Interaction ◽  
Emotional Support ◽  
Mixed Method ◽  
Middle Aged ◽  
Promising Tool ◽  
The Social ◽  
Method Analysis

Background Physical activity (PA) is critical for maintaining independence and delaying mobility disability in aging adults. However, 27 to 44% of older adults in the United States are meeting the recommended PA level. Activity trackers are proving to be a promising tool to promote PA adherence through activity tracking and enhanced social interaction features. Although social support has been known to be an influential behavior change technique to promote PA, how middle-aged and older adults use the social interaction feature of mobile apps to provide virtual support to promote PA engagement remains mostly underexplored. Objective This study aimed to describe the social support patterns of middle-aged and older adults using a mobile app as part of a behavioral PA intervention. Methods Data from 35 participants (mean age 61.66 [SD 6] years) in a 12-week, home-based activity intervention were used for this secondary mixed method analysis. Participants were provided with a Jawbone Up24 activity monitor and an Apple iPad Mini installed with the UP app to facilitate self-monitoring and social interaction. All participants were given an anonymous account and encouraged to interact with other participants using the app. Social support features included comments and likes. Thematic coding was used to identify the type of social support provided within the UP app and characterize the levels of engagement from users. Participants were categorized as superusers or contributors, and passive participants were categorized as lurkers based on the literature. Results Over the 12-week intervention, participants provided a total of 3153 likes and 1759 comments. Most participants (n=25) were contributors, with 4 categorized as superusers and 6 categorized as lurkers. Comments were coded as emotional support, informational support, instrumental support, self-talk, and other, with emotional support being the most prevalent type. Conclusions Our cohort of middle-aged and older adults was willing to use the social network feature in an activity app to communicate with anonymous peers. Most of our participants were contributors. In addition, the social support provided through the activity app followed social support constructs. In sum, PA apps are a promising tool for delivering virtual social support to enhance PA engagement and have the potential to make a widespread impact on PA promotion. Trial Registration ClinicalTrials.gov NCT01869348; https://clinicaltrials.gov/ct2/show/NCT01869348

scholarly journals Social Support Patterns of Middle-Aged and Older Adults Within a Physical Activity App: Secondary Mixed Method Analysis (Preprint)

2018 ◽  
Author(s):  
Zakkoyya H Lewis ◽  
Maria C Swartz ◽  
Eloisa Martinez ◽  
Elizabeth J Lyons
Keyword(s):  
Physical Activity ◽  
Social Support ◽  
Older Adults ◽  
Social Interaction ◽  
Emotional Support ◽  
Mixed Method ◽  
Middle Aged ◽  
Promising Tool ◽  
The Social ◽  
Method Analysis

BACKGROUND Physical activity (PA) is critical for maintaining independence and delaying mobility disability in aging adults. However, 27 to 44% of older adults in the United States are meeting the recommended PA level. Activity trackers are proving to be a promising tool to promote PA adherence through activity tracking and enhanced social interaction features. Although social support has been known to be an influential behavior change technique to promote PA, how middle-aged and older adults use the social interaction feature of mobile apps to provide virtual support to promote PA engagement remains mostly underexplored. OBJECTIVE This study aimed to describe the social support patterns of middle-aged and older adults using a mobile app as part of a behavioral PA intervention. METHODS Data from 35 participants (mean age 61.66 [SD 6] years) in a 12-week, home-based activity intervention were used for this secondary mixed method analysis. Participants were provided with a Jawbone Up24 activity monitor and an Apple iPad Mini installed with the UP app to facilitate self-monitoring and social interaction. All participants were given an anonymous account and encouraged to interact with other participants using the app. Social support features included comments and likes. Thematic coding was used to identify the type of social support provided within the UP app and characterize the levels of engagement from users. Participants were categorized as superusers or contributors, and passive participants were categorized as lurkers based on the literature. RESULTS Over the 12-week intervention, participants provided a total of 3153 likes and 1759 comments. Most participants (n=25) were contributors, with 4 categorized as superusers and 6 categorized as lurkers. Comments were coded as emotional support, informational support, instrumental support, self-talk, and other, with emotional support being the most prevalent type. CONCLUSIONS Our cohort of middle-aged and older adults was willing to use the social network feature in an activity app to communicate with anonymous peers. Most of our participants were contributors. In addition, the social support provided through the activity app followed social support constructs. In sum, PA apps are a promising tool for delivering virtual social support to enhance PA engagement and have the potential to make a widespread impact on PA promotion. CLINICALTRIAL ClinicalTrials.gov NCT01869348; https://clinicaltrials.gov/ct2/show/NCT01869348

scholarly journals Social determinants and other aspects associated with rheumatic diseases in the Brazilian population: a cross-sectional study based on the National Health Survey (PNS2013).

2020 ◽  
Author(s):  
Clécio Gabriel Souza ◽  
Marcelo Cardoso Souza ◽  
Hugo Jario Silva ◽  
Sanderson Assis ◽  
Diego Sousa Dantas
Keyword(s):  
Physical Activity ◽  
Rheumatic Diseases ◽  
Social Factors ◽  
Cross Sectional Study ◽  
National Health Survey ◽  
Brazilian Population ◽  
Sectional Study ◽  
Cross Sectional ◽  
Factors Associated ◽  
The Social

Abstract Background: Rheumatic diseases are increasingly present in the world population, represented by chronic joint and musculoskeletal pain. Among them, osteoarthritis (OA) is the most prevalent. It is considered the third most prevalent chronic non-communicable disease in the Brazilian population, being responsible for a high rate of physical disability and reduced quality of life. Little has been discussed about the social factors associated with this health condition. This study aimed to analyze the social factors associated with arthritis in the Brazilian population.Methods: This is a cross-sectional study based on data from the 2013 National Health Survey in Brazil with arthritis as its main outcome. Sex, age, body weight, usual activities, physical activity, self-perceived health and diagnosis of depression were analyzed as independent variables. Descriptive and inferential statistics were used. Poisson multiple regression was performed, and the prevalence ratio (PR) and confidence interval (CI) of 95% were calculated using a significance level of 5% (p≤0.05).Results: A total of 60,202 individuals of both sexes took part in this study and the rheumatic diseases or arthrtitis prevalence was 6.4%. The individual factors associated with a higher prevalence of arthritis were female (PR = 2.09; CI = 1.95-2.25), age over 35 years (PR = 2.88; CI = 2.57-3.24) and excess body weight (PR = 1.61; CI = 1.25-2.07). The presence of rhemautic diseases showed an association with lower performance of usual activities (PR = 1.61; CI = 1.50-1.73) and self-perceived health as very poor (PR = 3.96; CI = 3.31-4.72). In addition, it was associated with a higher prevalence of mental illnesses such as depression (PR = 1.77; CI = 1.64-1.90).Conclusion: Social and modifiable factors which are associated with a higher prevalence of arthritis can be controlled through incentive measures such as social participation and physical activity.

Associations of Social Network Characteristics With Gait Speed in Older Women From Physical Activity Community Groups

2020 ◽  
pp. 1-8
Author(s):  
Carlos M. Arango-Paternina ◽  
Jhon F. Ramírez-Villada ◽  
Annie A. Tibaduiza-Romero ◽  
Leonardo Rodríguez-Perdomo
Keyword(s):  
Physical Activity ◽  
Social Network ◽  
Gait Speed ◽  
Cross Sectional Study ◽  
Adult Women ◽  
Community Groups ◽  
Cross Sectional ◽  
Logistic Regression Models ◽  
Speed Test ◽  
The Social

The identification of social network factors associated with gait speed may offer different perspectives for improving community and clinical interventions for older adults. The objective of this study was to explore the associations of the social network of friends with gait speed. This was a cross-sectional study conducted in a sample of 128 older adult women recruited in community groups of physical activity. Clinical screening, social network questions, body composition evaluation, and gait speed test were applied to the participants. Logistic regression models were used to analyze associations between characteristics of the social network of friends and high gait speed. Findings indicated that social isolation was not associated with high gait speed and that popularity and proportion of friends with high gait speed were significantly associated with high gait speed. Findings suggested that there was a relationship between social network factors and the ability to perform high gait speed.

scholarly journals Influence of age, stigma and social support on male temporary ejaculation failure on IVF oocyte retrieval day

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Jinluan Wang ◽  
Mingyue Xue
Keyword(s):  
Social Support ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Family Support ◽  
Perceived Stress ◽  
Logistic Regression Analysis ◽  
Psychological Factors ◽  
Psychological Capital ◽  
Factors Associated ◽  
The Social

Abstract Objective To explore the social and psychological factors associated with male Temporary Ejaculation Failure (TEF) during In Vitro Fertilization (IVF), with the goal of providing a theoretical basis for clinical intervention and treatment. Methods The study included 75 TEF patients and 223 non-TEF patients undergoing IVF treatment at the center of reproduction and genetics of Integrated Chinese and Western medicine in the Affiliated Hospital of Shandong University of Traditional Chinese Medicine from May 2019 to May 2020. A questionnaire survey was then administered to the study subjects. The questionnaires included general information, Perceived Stress Scale (PSS), Stigma Questionnaire, Perceived Social Support Scale (PSSS), and Positive Psychological Capital Questionnaire (PPQ). Logistic regression analysis was then used to analyze the social psychological factors associated with the research objectives. Results Comparison of social demographic factors and clinical data between TEF group and non-TEF group: there were significant differences in the age and educational level between the two groups (P< 0.05), and the average age of the TEF group (37.01±7.11) was significantly higher than that of the non-TEF group (34.89±6.24). In addition, patients with high school or technical secondary school education levels had the lowest probability of TEF(X2=7.662, P=0.022). 2. The difference of related social and psychological factors between the two groups: the scores of perceived stress (17.57±6.51) and stigma (4.52±3.87) in the TEF group were significantly higher than those in the non-TEF group, which were (15.50±5.00, P< 0.05) and (2.61±3.52, P< 0.05), respectively. On the other hand, the scores of social support (55.31±14.04) and psychological capital (121.73±25.93) in the TEF group were significantly lower than those in the non-TEF group, which were (60.74±10.93, P< 0.05) and (130.31±17.32, P< 0.05), respectively. Results Obtained after conducting univariate logistic regression analysis indicated that age (OR=1.051, P=0.016), perceived stress (OR=1.073, P=0.005), stigma (OR=1.139, P< 0.001), family support (OR=0.901, P< 0.001), friend support (OR=0.932, P=0.023), other support (OR=0.915, P=0.004), self-efficacy (OR=0.947, P=0.009), resilience (OR=0.947, P=0.013), hope (OR=0.930, P=0.002), and optimism (OR=0.953, P=0.032) can all significantly affect male TEF.4. Moreover, the multivariate logistic regression analysis results indicated that age (OR=1.071, P=0.002) and stigma (OR=1.132, P=0.003) can positively predict TEF, while family support (OR=0.877, P=0.012) can negatively predict TEF. Conclusions The results obtained in this study have indicated that age and stigma are independent risk factors for male TEF, while family support is a protective factor of TEF. Analyzing the treatment of TEF from a socio-psychological perspective provides a new intervention target for effectively reducing its incidence, thereby helping to improve the success rate of IVF.

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