Levels Of Domain-specific Physical Activity Research Articles

Barriers and facilitators of domain-specific physical activity: a systematic review of reviews

BackgroundKnowing what facilitates and hinders physical activity behaviour across domains (leisure, travel, work or education, and household) is central for the development of actions for more active lifestyles. Thus, the aim of this systematic review of reviews was to summarize the evidence on barriers and facilitators of domain-specific physical activity.MethodsWe included systematic reviews with or without meta-analysis that investigated the association between modifiable barriers and facilitators and levels of domain-specific physical activity. Reviews published until September 2020 were retrieved from PubMed, ISI Web of Science, Scopus, Regional Library of Medicine (BIREME), and PsycNET, and from the reference list of selected articles. Each review was screened by two independent reviewers for eligibility. Data extracted from selected papers included methodological aspects (number of primary studies, study designs, and age groups); physical activity domains and barriers and facilitators investigated; and direction of association. For each pair of barrier/facilitator and domain-specific physical activity, we recorded the number of positive, negative, and null associations reported across reviews. Quality assessment of each systematic review was performed using the AMSTAR-2 tool.ResultsForty-four systematic reviews were selected. The evidence base was largest for leisure-time followed by travel-related physical activity. A very small number of reviews included physical activity in work, educational and domestic settings. Across all physical activity domains, factors related to the built environment were more abundant in the reviews than intra and interpersonal factors. Very consistent positive associations were observed between a range of intrapersonal factors and leisure-time physical activity, as well as moderately consistent evidence of positive association for general social support and support from family members. Evidence of moderate consistency was found for the positive association between transport-related physical activity and positive beliefs about consequences, walkability, and existence of facilities that support active travel. Evidence on barriers and facilitators for physical activity at work, educational, and domestic settings was limited in volume and consistency.ConclusionsEfforts and resources are required to diversify and strength the evidence base on barriers and facilitators of domain-specific physical activity, as it is still limited and biased towards the leisure domain and built environment factors.Trial registrationPROSPERO CRD42020209710.

Levels of domain-specific physical activity at work, in the household, for travel and for leisure among 327 789 adults from 104 countries

ObjectiveTo compare the country-level absolute and relative contributions of physical activity at work and in the household, for travel, and during leisure-time to total moderate-to-vigorous physical activity (MVPA).MethodsWe used data...

Intensity- and domain-specific physical activity levels between cancer survivors and non-cancer diagnosis individuals: a propensity score matching analysis.

To examine intensity- and domain-specific physical activity (PA) levels between Korean cancer survivors compared with non-cancer individuals. We used data from the 2014-2016 Korean National Health and Nutrition Examination Survey (KNHNES) to compare PA levels between 639 cancer survivors and 15,352 non-cancer individuals. Using the 1:5 propensity score matching analysis by sex, age, body mass index (BMI), and education level, 3195 non-cancer individuals were selected. Global Physical Activity Questionnaire (GPAQ) was used to assess PA levels. Cancer survivors were more likely to participate in a leisure-time PA (64.5 ± 157.9 vs. 51.8 ± 145.3min/week, p < 0.002) compared with non-cancer individuals, while no difference was observed between groups in work and transportation. Cancer survivors undergoing treatment participated in more leisure-time PA (80.9 ± 169.2 vs. 56.6 ± 151.8min/week, p < 0.02) compared with cancer survivors who completed cancer treatment. However, we found no significant difference in vigorous-intensity PA (18.8 ± 113.9 vs. 20.5 ± 156.1min/week, p = 0.56) and moderate-intensity PA (186.2 ± 313.1 vs. 203.1 ± 355.3min/week, p = 0.17) levels between cancer survivors and non-cancer individuals. This study showed that cancer survivors were more participated in leisure-time PA compared with age, gender, BMI, and education levels matched non-cancer individuals.

Prospective Association between Domain-Specific Physical Activity and Risk of Depressive Symptoms in Older Adults

Physical activity has been recommended to general population for preventing depressive symptoms. However, only few prospective studies focused on the association between the domain-specific physical activity levels and risk of depressive symptoms. PURPOSE: To investigate the prospective association between domain-specific physical activity and depressive symptoms among Japanese older people. METHODS: In this study, participants comprised 365 (169 men) community-dwelling older individuals aged ≥70 years, who were living in the Tsurugaya area of Sendai, Japan. These participants did not have depressive symptoms at baseline. Depressive state was evaluated by a short version of Geriatric Depression Scale (GDS-15), and a GDS-15 score ≥6 was defined as depressive symptoms. Furthermore, a valid questionnaire was used to assess domain-specific physical activity. Leisure-time physical activity levels by estimating metabolic equivalents (METs) hours/day based on frequency and duration of walking, brisk walking, moderate exercise, and strenuous exercise. METs of physical activity in other domains (occupational, domestic, commuting) were calculated based on the numbers of hours spent at different levels of intensity (sitting, standing, walking, strenuous work). Associations between physical activity and depressive symptoms were examined by multiple regression analysis. Covariates included sex, age, body mass index, educational levels, living status, smoking status, drinking status, sleep duration, and cognitive function. Data were expressed as odds ratios (OR) and 95% confidence intervals (CI). RESULTS: Multivariate analysis showed that tertiles of leisure-time physical activity were inversely associated with depressive symptoms during 10-years follow-up period (OR [95% CI]: T2, 0.97 [0.54−1.76]; T3, 0.42 [0.21−0.85]; P for trend = 0.019). Similarly, high levels of physical activity in other domains were also associated with decreased incidence of depressive symptoms (OR [95% CI]: T2, 0.73 [0.40−1.36]; T3, 0.52 [0.27−0.99]; P for trend = 0.045). CONCLUSION: This long-term prospective study demonstrated that the both leisure-time and non-leisure-time (occupational, domestic, commuting) physical activity may be preventive factors for depressive symptoms in older adults.

Domain-specific physical activity and health-related quality of life in university students

Information on the relationship between domain-specific physical activity (PA) and health-related quality of life (HRQoL) in the general population and specific groups is still scarce. The aim of this study was to determine the relationship between PA in work, transport, domestic and leisure-time domains and HRQoL among university students. PA and HRQoL were assessed in a random stratified sample of 1750 university students using the International Physical Activity Questionnaire – long form and 12-item Short Form Health Survey, respectively. The Spearman's rank correlations, adjusted for age, community size, personal monthly budget, body mass index, smoking habits and alcohol intake ranged from −0.11 to 0.18 in female students and −0.29 to 0.19 in male students. Leisure-time, domestic, transport-related PA and total PA were positively related to HRQoL. Inverse correlations with HRQoL were only found for work-related PA in male students. Multiple linear regression analysis showed that only leisure-time PA was related to the Physical Summary Component score (β = 0.08 for females and β = 0.10 for males, P < 0.05). Domain-specific PA levels were not significantly related to the Mental Component Summary score. To get a more comprehensive insight in the relationship between PA and HRQoL, future studies should not only analyse total PA levels but also domain-specific PA levels. The evidence on the positive relationship of leisure-time, transport and domestic PA with HRQoL can potentially be used to support evidence-based promotion of PA in a university setting, and as a hypothesis for future longitudinal studies on such potential causal relationships.