Dataset Information

Enabling and disabling behaviors in the social environment are associated with physical Activity of older people in the Netherlands.

ABSTRACT: BACKGROUND:Although research clearly shows that physical activity has significant health benefits and contributes to the prevention of chronic disease onset, the vast majority of the world's population is insufficiently physically active, and the prevalence of insufficient physical activity is greatest in the population of older adults. The social environment may play an important role in shaping health behaviors, we however, lack knowledge regarding the exact influence of the social environment on older persons' physical activity levels. This research therefore aims to identify the relationships of physical activity to enabling and disabling behaviors in the social environment among older people in the Netherlands. METHODS:Participants were randomly sampled from the Rotterdam municipality register and stratified by age group (70-74, 75-79, 80-84, and???85?years) and neighborhood (district). Of 2798 respondents, 1280 (46%) returned filled-in questionnaires. The Perceived Social Influence on Health Behavior (PSI-HB) instrument was used to assess the degree to which individuals' health behavior is influenced by those around them. Respondents were additionally asked about enabling and disabling behaviors in their social environments and how many days per week they were physically active. Physical activity scores ranged from 0 (not being physically active for 30?min a day at all during the week) to 7 (being physically active every day of the week). Respondents with a score of ?5 were considered to be physically active and those with a score of

SUBMITTER: Nieboer AP

PROVIDER: S-EPMC6444431 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature

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Enabling and disabling behaviors in the social environment are associated with physical Activity of older people in the Netherlands.

Nieboer Anna P AP Cramm Jane M JM

BMC public health 20190401 1

<h4>Background</h4>Although research clearly shows that physical activity has significant health benefits and contributes to the prevention of chronic disease onset, the vast majority of the world's population is insufficiently physically active, and the prevalence of insufficient physical activity is greatest in the population of older adults. The social environment may play an important role in shaping health behaviors, we however, lack knowledge regarding the exact influence of the social env ...[more]

PMID: 30935379

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Project description:BACKGROUND:Investigating the association of the neighborhood social environment on physical activity is complex. A systematic scoping review was performed to (1) provide an inventory of studies assessing the influence of the neighborhood social environment on physical activity since 2006; (2) describe methodologies employed; and (3) formulate recommendations for the field. METHODS:Two databases were searched using terms related to 'physical activity,' 'neighborhood,' and 'social environment' in January 2017. Eligibility criteria included: 1) physical activity as an outcome; 2) neighborhood social environment as a predictor; 3) healthy population (without diagnosed clinical condition or special population); 4) observational or experimental design. Of 1352 studies identified, 181 were included. Textual data relevant to the social environment measurement and analysis were extracted from each article into qualitative software (MAXQDA) and coded to identify social environmental constructs, measurement methods, level of measurement (individual vs. aggregated to neighborhood), and whether authors explicitly recognized the construct as the social environment. The following measures were generated for each construct: number of unique measurements; % of times measured at an aggregate level; % of times authors referred to the construct as the social environment. Social environmental constructs were then grouped into larger descriptive dimensions. RESULTS/FINDINGS:Fifty-nine social environmental constructs were identified and grouped into 9 dimensions: Crime & Safety (n?=?133 studies; included in 73% of studies); Economic & Social Disadvantage (n?=?55, 33%); Social Cohesion & Capital (n?=?47, 26%); Social Relationships (n?=?22, 12%); Social Environment (n?=?16, 9%); Disorder & Incivilities (n?=?15, 8%); Sense of Place/Belonging (n?=?8, 4%); Discrimination/Segregation (n?=?3, 2%); Civic Participation & Engagement (n?=?2, 1%). Across all articles, the social environment was measured using 176 different methods, was measured at an aggregate-level 38% of the time, and referred to as the social environment 23% of the time. CONCLUSIONS:Inconsistent terminology, definitions, and measurement of the social environment and the lack of explicit language identifying constructs as the social environment make it challenging to compare results across studies and draw conclusions. Improvements are needed to increase our understanding of social environmental correlates and/or determinants of physical activity and facilitate cross-disciplinary conversations necessary to effectively intervene to promote physical activity. TRIAL REGISTRATION:PROSPERO CRD42017059580.

Project description:Quorum-sensing (QS) is a cell-cell communication system that controls gene expression in many bacterial species, mediated by diffusible signal molecules. While the intracellular regulatory mechanisms of QS are often well-understood, the functional roles of QS remain controversial. In particular, the use of multiple signals by many bacterial species poses a serious challenge to current functional theories. Here we address this challenge by showing that bacteria can use multiple QS signals to infer both their social (density) and physical (mass-transfer) environment. Analytical and evolutionary simulation models show that the detection of and response to complex social/physical contrasts requires multiple signals with distinct half-lives and combinatorial (non-additive) responses to signal concentrations. We test these predictions using the opportunistic pathogen Pseudomonas aeruginosa, and demonstrate significant differences in signal decay between its two primary signal molecules as well as diverse combinatorial responses to dual signal inputs. QS is associated with the control of secreted factors, and we show that secretome genes are preferentially controlled by synergistic M-bM-^@M-^XAND-gateM-bM-^@M-^Y responses to multiple signal inputs, ensuring the effective expression of secreted factors in high density and low mass-transfer environments. Our results support a novel functional hypothesis for the use of multiple signals and, more generally, show that bacteria are capable of combinatorial communication. The two primary signal molecules of P. aeruginosa are the homoserine lactones N-(3-oxododecanoyl)-L-homoserine lactone (3-oxo-C12-HSL) and N-butyryl-homoserine lactone (C4-HSL). Effects of the different signal molecules was assessed using a double QS synthase mutant of Pseudomonas aeruginosa PAO1 lasI/rhlI grown at 37M-BM-0C in 25 ml LB broth and 250 ml flasks with shaking at 200 r.p.m. in four treatments, each with a replicate: (a) no addition; (b) 3-oxo- C12-HSL; (c) C4-HSL; and (d) both 3-oxo-C12-HSL and C4-HSL.

Project description:ImportanceThe associations of daily total physical activity and total moderate to vigorous physical activity (MVPA) with dementia are still unclear.ObjectiveTo investigate the association between daily total physical activity and subsequent risk of disabling dementia in large-scale, extended follow-up prospective study.Design, setting, and participantsThis prospective cohort study used data from questionnaires collected between 2000 and 2003 from 8 areas from the Japan Public Health Center-based Prospective Disabling Dementia Study. Participants included adults aged 50 to 79 years in with available follow-up data on disabling dementia. Data analysis was performed from February 1, 2019, to July 31, 2021.ExposuresDaily total physical activity, total MVPA, and leisure-time MVPA.Main outcomes and measuresThe main outcome was incidence of disabling dementia during the dementia ascertainment period between 2006 and 2016, based on the national long-term care insurance system. Risks of dementia in association with daily total physical activity, total MVPA, and leisure time MVPA were calculated using multivariable adjusted hazard ratios (aHRs).ResultsAmong 43 896 participants (mean [SD] age, 61.0 [7.5] years; 23 659 [53.9%] women), 5010 participants were newly diagnosed with disabling dementia during a mean (SD) of 9.5 (2.8) years in the dementia ascertainment period. In the highest daily total physical activity group, compared with the lowest activity group, risk of dementia was lower in men (aHR, 0.75 [95% CI, 0.66-0.85]; P for trend < .001) and women (aHR, 0.75 [95% CI, 0.67-0.84]; P for trend < .001). Similar inverse associations were observed in men and women for total MVPA (men: aHR, 0.74 [95% CI, 0.65-0.84]; P for trend < .001; women: aHR, 0.74 [95% CI, 0.66-0.83]; P for trend < .001) and leisure-time MVPA (men: aHR, 0.59 [95% CI, 0.53-0.67]; P for trend < .001; women: aHR, 0.70 [95% CI, 0.63-0.78]; P for trend < .001). However, these inverse associations disappeared when participants diagnosed with disabling dementia within 7 years of the starting point were excluded in men (aHR, 0.93 [95%CI, 0.77-1.12]) and within 8 years were excluded in women (aHR, 0.86 [95%CI, 0.71-1.04]). The association remained significant among men in the highest vs lowest group of leisure-time MVPA, after excluding participants diagnosed within the first 9 years (aHR, 0.72 [95% CI, 0.56-0.92]; P for trend = .004).Conclusions and relevanceThis cohort study examined associations of daily total physical activity and total MVPA with risk of disabling dementia. The findings suggest that a high level of leisure-time MVPA was associated with decreased risk of disabling dementia in men.

Dataset Information

Enabling and disabling behaviors in the social environment are associated with physical Activity of older people in the Netherlands.

Publications

Enabling and disabling behaviors in the social environment are associated with physical Activity of older people in the Netherlands.

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