Motives for physical activity in the adoption and maintenance of physical activity in middle-aged and old age outpatients with a mental disorder: A cross-sectional study from a low-income country

Objective: Quantify inequalities in self-reported moderate-to-vigorous physical activity (MVPA) in England and the United States (US). Design: Population-based cross-sectional study. Participants: 4019 adolescents aged 11-15 years in England (Health Survey for England 2008, 2012, 2015) and 4312 aged 12-17 years in the US (National Health and Nutrition Examination Survey 2007-16). Main outcome measures: Three aspects of MVPA: (1) doing any, (2) average min/day (MVPA: including those who did none), and (3) average min/day conditional on participation (MVPA-active). Using hurdle models, we quantified inequalities (average marginal effects: AMEs) using the absolute difference in marginal means. Results: In England, adolescents in high-income households were more likely than those in low-income households to have done any formal sports/exercise in the last seven days (boys: 11%; 95% CI: 4% to 17%; girls: 13%; 95% CI: 6% to 20%); girls in high-income households did more than their low-income counterparts (MVPA: 6 min/day, 95% CI: 2 to 9). Girls in low-income households spent more time in informal activities than girls in high-income households (MVPA: 21 min/day; 95% CI: 10 to 33), whilst boys in low-income versus high-income households spent longer in active travel (MVPA: 21 min/week; 95% CI: 8 to 34). In the US, in a typical week, recreational activity was greater among high-income versus low-income households (boys: 15 min/day; 95% CI: 6 to 24 min/day; girls: 19 min/day; 95% CI: 12 to 27). In contrast, adolescents in low-income versus high-income households were more likely to travel actively (boys: 11%; 95% CI: 3% to 19%; girls: 10%; 95% CI: 3% to 17%) and do more. Conclusions: Policy actions and interventions are required to increase MVPA across all income groups in England and the US. Differences in formal sports/exercise (England) and recreational (US) activities suggest that additional efforts are required to reduce inequalities.

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Understanding frailty among older people living in old age homes and the community in Nepal: A cross-sectional study

PLoS ONE ◽

10.1371/journal.pone.0251016 ◽

2021 ◽

Vol 16 (4) ◽

pp. e0251016

Author(s):

Richa Shah ◽

Rogie Royce Carandang ◽

Akira Shibanuma ◽

Ken Ing Cherng Ong ◽

Junko Kiriya ◽

...

Keyword(s):

Older People ◽

Old Age ◽

Low Income ◽

Lifestyle Modification ◽

Cross Sectional Study ◽

Living Environment ◽

Kathmandu Valley ◽

Sectional Study ◽

Cross Sectional ◽

Old Age Homes

Introduction Frailty is a state of being vulnerable to adverse health outcomes such as falls, delirium, and disability in older people. Identifying frailty is important in a low-income setting to prevent it from progressing, reducing healthcare costs, increasing the chances of reversibility, and implementing effective interventions. The factors affecting frailty in older people living in old age homes could differ from those living in the community. This study was conducted to identify the factors associated with frailty in older people residing in old age homes and communities in Kathmandu Valley, Nepal. Methods This is a cross-sectional study conducted from April to June 2019 in three districts of Kathmandu Valley, Nepal. Data were collected from 193 older people residing in old age homes and 501 residing in communities aged 60 and above using convenience sampling. Frailty was measured using the Groningen Frailty Indicator. Data were collected via face-to-face interviews. Multiple linear regression analyses were used to examine the association between independent variables and frailty. Results Frailty was more prevalent among older people in old age homes (71.5%) compared to those in the community (56.3%). Older people who were satisfied with their living environment had lower frailty scores in both old age homes (β = -0.20, p<0.01) and the community (β = -0.15, p<0.001). Those who had self-rated unhealthy lifestyle had higher frailty scores in both old age homes (β = 0.45, p<0.001) and the community (β = 0.25, p<0.001). In the community, those over 80 years of age had higher frailty scores (β = 0.15, p<0.01) and those with higher education had lower scores (β = -0.13, p<0.05). Conclusion The living environment and lifestyle are key modifiable risk factors of frailty, both in old age homes and the community. The findings suggest a need for lifestyle modification and reforms in building standards, especially in old age homes, to promote age-friendly communities.

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