scholarly journals The Influential factors of Adherence to Physical Activity and Exercise among Community-Dwelling Stroke Survivors: A Path Analysis

2020 ◽  
Author(s):  
Beilei Lin ◽  
Zhenxiang Zhang ◽  
Yongxia Mei ◽  
Wenna Wang ◽  
Lamei Liu ◽  
...  
Keyword(s):  
Physical Activity ◽  
Social Support ◽  
Path Analysis ◽  
Health Care Professionals ◽  
Self Efficacy ◽  
Exercise Adherence ◽  
Influential Factors ◽  
Community Dwelling ◽  
Stroke Survivors ◽  
Physical Activity And Exercise

Abstract Background: Regular physical activity and exercise (PAE) after stroke is essential, but the adherence to PAE and its influential factors is rarely studied and unclear in developed countries. The aim of this study was to investigate the status of PAE adherence, and to identify its influential factors among Chinese community-dwelling stroke survivors.Methods: A cross-sectional study was conducted, 208 stroke survivors were randomly selected from three communities (60.10% men, mean age 70.25 ± 9.08 years). Physical Activity and Exercise Adherence Scale (PAEAS) was used as a measure of compliance, knowledge, attitude, self-efficacy and social support were measured using relevant scales. Influential factors of PAE adherence and associations between those variables were explored using multiple linear regression and path analysis.Results: The mean adherence rate was moderate (62.0%), stroke survivors tended to be more adherent to do PAE than monitoring and seeking advices (70.30% > 53.50% > 48.30%). Regression results revealed that seven factors significantly associated with PAE adherence, including knowledge, attitude, self-efficacy, social support, self-care ability, community rehabilitation experience, and times since stroke (R2 = 75.10%, F = 45.593, p < 0.05). Furthermore, path analysis showed that knowledge had a significant indirect positive influence with self-efficacy as a mediator on adherence (β= 0.16, p < 0.05); while attitude and social support impacted both directly and indirectly on adherence with self-efficacy as the mediator; what’s more, self-efficacy was an important predictor that performed the strongest direct effect on community-dwelling stroke survivors’ PAE adherence (β= 0.44, p < 0.01 ). These four variables accounted for a total of 67.00% of the variance of PAE adherence among community-dwelling stroke survivors.Conclusions: Physical activity and exercise adherence of community stroke survivors is needed to be improved. Attitude and social support presented both direct and indirect impacts on PAE adherence through self-efficacy, while knowledge only exhibited an indirect influencing effect on adherence. Health care professionals should administer a more comprehensive and systematic assessment to seek to improve self-efficacy through the development of effective interventions for promoting adherence to PAE in this population.

scholarly journals The Influential factors of Adherence to Physical Activity and Exercise among Community-Dwelling Stroke Survivors: A Path Analysis

2020 ◽  
Author(s):  
Beilei Lin ◽  
Zhenxiang Zhang ◽  
Yongxia Mei ◽  
Wenna Wang ◽  
Lamei Liu ◽  
...  
Keyword(s):  
Physical Activity ◽  
Path Analysis ◽  
Influential Factors ◽  
Community Dwelling ◽  
Stroke Survivors ◽  
Physical Activity And Exercise

Abstract The authors have withdrawn this preprint due to erroneous posting.

Personal and social factors that influence physical activity levels in community-dwelling stroke survivors: A systematic review of qualitative literature

2021 ◽  
pp. 026921552199369
Author(s):  
Karl R Espernberger ◽  
Natalie A Fini ◽  
Casey L Peiris
Keyword(s):  
Physical Activity ◽  
Social Factors ◽  
Self Efficacy ◽  
Data Extraction ◽  
Community Dwelling ◽  
Stroke Survivors ◽  
Activity Levels ◽  
Post Stroke ◽  
Physical Activity Levels ◽  
Mobile Community

Objectives: To determine the personal and social factors perceived to influence physical activity levels in stroke survivors. Data sources: Four electronic databases (MEDLINE, CINAHL, PubMed and Embase) were searched from inception to November 2020, including reference and citation list searches. Study selection: The initial search yielded 1499 papers, with 14 included in the review. Included articles were peer-reviewed, qualitative studies, reporting on the perceived factors influencing physical activity levels of independently mobile community-dwelling adults, greater than 3 months post stroke. Data extraction: Data extracted included location, study aim, design, participant and recruitment information and how data were collected and analysed. Data synthesis: Thematic analysis was undertaken to identify meanings and patterns, generate codes and develop themes. Five main themes were identified: (i) Social networks are important influencers of physical activity; (ii) Participation in meaningful activities rather than ‘exercise’ is important; (iii) Self-efficacy promotes physical activity and physical activity enhances self-efficacy; (iv) Pre-stroke identity related to physical activity influences post-stroke physical activity; and (v) Formal programmes are important for those with low self-efficacy or a sedentary pre-stroke identity. Conclusions: Physical activity levels in stroke survivors are influenced by social activities and support, pre-stroke identity, self-efficacy levels and completion of activities that are meaningful to stroke survivors.

The Association Among Social Support, Self-Efficacy, Use of Mobile Apps, and Physical Activity: Structural Equation Models With Mediating Effects (Preprint)

2018 ◽  
Author(s):  
Taotao Wang ◽  
Mengyuan Ren ◽  
Ying Shen ◽  
Xiaorou Zhu ◽  
Xing Zhang ◽  
...  
Keyword(s):  
Physical Activity ◽  
Social Support ◽  
College Students ◽  
Self Efficacy ◽  
Structural Equation ◽  
Mobile Apps ◽  
Mediating Effect ◽  
Activity Levels ◽  
Support Level ◽  
Physical Activity Levels

BACKGROUND Physical inactivity is a risk factor for chronic noncommunicable diseases. Insufficient physical activity has become an important public health problem worldwide. As mobile apps have rapidly developed, physical activity apps have the potential to improve the level of physical activity among populations. OBJECTIVE This study aimed to evaluate the effect of physical activity apps on levels of physical activity among college students. METHODS A Web-based questionnaire was used to survey college students in Beijing from December 27, 2017, to January 5, 2018. According to a previous survey, 43% of college students using physical activity apps and 36% of those who never used such apps achieved the physical activity recommendations. In this study, the sample size was calculated to be 500. The questionnaire consisted of 5 parts: the use of physical activity apps, sports habits, social support, self-efficacy, and social demographic information. Structural equation modeling was used to test the relationships between the use of physical activity apps, self-efficacy, social support, and level of physical activity. RESULTS Of the 1245 participants, 384 college students (30.8%) used physical activity apps (in the past month). Of these 384 students, 191 (49.7%) gained new friends via the app. College students who were using physical activity apps had a higher level of physical activity and higher scores for social support and self-efficacy (<italic>P</italic>&lt;.001) than those who did not use such apps. The use of physical activity apps significantly affected the mediating effect of physical activity level through social support (beta=.126; <italic>P</italic>&lt;.001) and self-efficacy (beta=.294; <italic>P</italic>&lt;.001). Gender played an important role in app use, self-efficacy, and physical activity in the mediation model: male users spent more time on physical activity and had higher self-efficacy scores (<italic>P</italic>&lt;.001). CONCLUSIONS This study focused on college students in Beijing and found that the use of physical activity apps is associated with higher physical activity levels among these students. This effect is mainly through the mediation effect of social support and self-efficacy, rather than the direct effect of physical activity apps. The use of physical activity apps is associated with a higher social support level and higher self-efficacy score. Furthermore, a high social support level and high self-efficacy score are associated with higher physical activity levels.

Physical Activity and its Influencing Factors in Community-Dwelling Older Adults With Dementia: A Path Analysis

2021 ◽  
pp. 105477382110339
Author(s):  
Bei Li ◽  
Xiuxiu Huang ◽  
Chenchen Meng ◽  
Qiaoqin Wan ◽  
Yongan Sun
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Path Analysis ◽  
Neuropsychiatric Symptoms ◽  
Community Dwelling ◽  
Cross Sectional ◽  
People With Dementia ◽  
The Status ◽  
Path Analysis Approach ◽  
Community Dwelling Older Adults

Dementia is prevalent in worldwide, and increases the care burden and potential costs. Physical activity (PA) has been increasingly shown to be beneficial for them. This was a cross-sectional observational study aiming to investigate the status of PA among community-dwelling older adults with dementia in Beijing or Hangzhou, China, and verify the relationships between neuropsychiatric symptoms, activities of daily living (ADL), caregivers’ fear of patients’ falling and their PA using a path analysis approach. The level of PA among 216 included people with dementia was low. PA was related to the neuropsychiatric symptoms, with ADL and caregivers’ fear of patients’ falling have mediation roles. The findings indicated that person-centered strategies related to the management of these symptoms might be helpful to improve ADL, relieve caregivers’ concerns about them falling and consequently foster positive participation in PA.

A Population-Based Survey to Determine Association of Perceived Social Support and Self-Efficacy With Self-Care Among Elderly With Diabetes Mellitus (Kerman City, Iran)

2017 ◽  
Vol 85 (4) ◽  
pp. 504-517 ◽  
Author(s):  
Vahidreza Borhaninejad ◽  
Mohsen Shati ◽  
Devender Bhalla ◽  
Abedin Iranpour ◽  
Reza Fadayevatan
Keyword(s):  
Physical Activity ◽  
Social Support ◽  
Self Efficacy ◽  
Pearson Correlation ◽  
Self Care ◽  
Population Based ◽  
Foot Care ◽  
Gender And Age ◽  
Kerman City ◽  
Population Based Survey

This survey examined association between social support and self-efficacy with self-care in elderly with diabetes. A total of 374 subjects were identified in Kerman city, Iran who responded to questionnaires on self-care, social support, and self-efficacy. Data were analyzed by using SPSS. Along with customary descriptive statistics, we also determined group difference for self-care, and Pearson correlation, and prediction value of various variables by using hierarchical multiple regression. And 67.37% of subjects were classified as poor adherence to self-care; 55.9% patients reportedly had good foot care habits, while 68.4% patients were not taking adequate physical activity. There was a significant correlation between self-care with social support and self-efficacy. Independent variables accounted for 44.3% of the variance in self-care. Diabetes care programs should aim to implement (a) weekly free-of-cost mass physical activity programs, (b) mass education adapted for gender- and age-based needs, and (c) informal social cohesion and companionship among general public.

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 Motivational Determinants of Physical Activity in Disadvantaged Populations with (Pre)Diabetes: A Cross-Cultural Comparison

2021 ◽  
Author(s):  
Jeroen De Man ◽  
Francis Xavier Kasujja ◽  
Peter Delobelle ◽  
Kristi Sidney Annerstedt ◽  
Helle Mölsted Alvesson ◽  
...  
Keyword(s):  
Physical Activity ◽  
Social Support ◽  
South Africa ◽  
Self Efficacy ◽  
Process Model ◽  
Perceived Social Support ◽  
Cross Cultural ◽  
Equation Modeling ◽  
Motivational Process ◽  
Identified Regulation

Abstract BackgroundUnderstanding motivational determinants of physical activity (PA) is essential to guide the implementation of PA at individual and population level. Knowledge about the cross-cultural generalizability of these determinants is lacking and they have mostly been studied as separate factors. This study compares a motivational process model across samples from diverse populations with, or at risk of diabetes. MethodsMeasurement invariance of barrier identified regulation, barrier self-efficacy and social support was assessed in a rural Ugandan sample (n=712) and disadvantaged samples with high proportions of immigrants in urban South Africa (n=566) and Sweden (n=147). These motivational determinants were then compared through multigroup structural equation modeling.ResultsThe studied motivational constructs showed scalar invariance. Latent mean levels of perceived social support and barrier self-efficacy were lower in South Africa and Sweden. Structural models (for different PA outcomes) were not consistent across settings except for the association between perceived social support and identified regulation. Identified regulation was only associated with vigorous PA in Uganda and with moderate PA in South Africa. The association between social support and PA outcomes ranged from weak to not significant and the association between self-efficacy and PA was not significant. Self-reported PA was highest in Uganda and lowest in Sweden. Self-reported vigorous PA was significantly related to lower hemoglobin A1c levels, while moderate PA was not.ConclusionsFindings suggest that: 1) it is feasible to compare a motivational process model across diverse settings; 2) there is lower perceived social support and self-efficacy in the urban, migrant samples; 3) identified regulation is a more promising determinant of PA than self-efficacy or social support in these populations; 4) associations between motivational determinants and PA depend on the perceived type and/or intensity of PA; 5) perceived relatedness functions as a basic psychological need across diverse settings; and 6) people’s perception of the PA they perform depends on their perceived level of intensity of PA which would have major implications for health promotion.

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