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Little is known about differences in physical activity among children from urban and rural areas in low-to middle-income countries and some previous investigations revealed disparities in physical activity levels among children and adolescents residing in urban and rural environments. We aimed to: (i) assess the proportion of preschool-aged children (3.0–4.9 years) meeting the global movement guidelines, (ii) evaluate the feasibility of the methods for the SUNRISE study, (iii) examine gender- and urban-rural differences in health and behavior outcomes. Urban and rural location was based on national classifications. Physical activity (waist-worn ActiGraph); sleep duration, screen time and movement behaviors; Gross and fine motor skills (Lower body strength and mobility, Supine-Timed up and go [S-TUG], One-leg standing balance test, hand grip dynamometer, 9-hole peg-board test); and executive functions (visual-spatial working memory and inhibition) were assessed in 112 preschoolers (n ​= ​50 boys, 33 urban), (n ​= ​62 girls, 41 urban). The results showed that only 18% of children met all movement guidelines, with 53% and 41% meeting the recommendations for sedentary screen time and total physical activity, respectively. A large proportion of children (81%) met the recommended sleep duration of 10–13 ​hours (h) per day. There is a clear need to promote healthy movement behaviours among preschool-aged children through targeted interventions that address their unique challenges related to gender and urban/rural residence.

Abstract Background Given the unique socioeconomic structures, and the rural/urban differentials in the prevalence of mental illnesses in the country, this study aimed to explore the associations of childhood, adulthood and late-life rural/urban place of residence with mental health outcomes, namely depressive symptoms and cognitive impairment, among older adults in India. The study also examined the relationship between older individuals’ life-course rural/urban place of residence and late-life mental and cognitive health. Methods Utilizing data from the Longitudinal Aging Study in India (n = 28,027 older adults age 60 years and above), the study employed multivariable logistic and linear regression models to examine the association between urban/rural residential status, life-course residence, depressive symptoms and cognitive impairment among older adults. Results Childhood and adulthood place of residence was not associated with depressive symptoms in older men and women. Current rural place of residence was positively associated with depressive symptoms in older women [adjusted odds ratio (aOR): 1.37, confidence interval (CI): 1.05–1.80] but not men. Childhood [aOR: 1.88, CI: 1.16–3.04], adulthood [aOR: 2.00, CI: 1.26–3.16] and current rural residence [aOR: 1.93, CI: 1.27–2.91] was positively associated with cognitive impairment in men. Only current rural residence [aOR: 1.71, CI: 1.29–2.27] was associated with cognitive impairment in women. There was no significant association between life-course place of residence and depressive symptoms except in case of lifetime rural residence Respondents with urban-urban-urban (childhood-adulthood-current) place of residence were less likely to have depressive symptoms [adjusted coefficient (aCoef.): -0.14, CI: -0.21- -0.07] compared to those with rural-rural-rural place of residence. There were significant associations between life-course residence and cognitive impairment except among rural-urban-rural and urban-rural-rural migrants, showing an urban advantage in cognitive function among older adults. Conclusions This study showed significant associations between life-course residence and depressive symptoms among permanent rural/urban residents. The study also showed significant associations between life-course residence and cognitive impairment except among rural-urban-rural and urban-rural-rural migrants. Considering the rural disadvantage in mental and cognitive health among older adults, the government should continue to support policies that can improve access to education and healthcare among people residing in rural areas and women, in particular. The findings also urge social scientists and gerontologists in particular, to consider the importance of lifetime historical context while evaluating mental and cognitive health of older persons.

Background: Given the unique socioeconomic structures, and the rural/urban differentials in the prevalence of mental illnesses in the country, this study aimed to explore the associations of childhood, adulthood and late-life rural/urban place of residence with mental health outcomes, namely depressive symptoms and cognitive impairment, among older adults in India. The study also examined the relationship between older individuals' life-course rural/urban place of residence and late-life mental and cognitive health. Methods: Utilizing data from the Longitudinal Aging Study in India (n = 28,027 older adults age 60 years and above), the study employed multivariable logistic and linear regression models to examine the association between urban/rural residential status, life-course residence, depressive symptoms and cognitive impairment among older adults. Results: Childhood and adulthood place of residence was not associated with depressive symptoms in older men and women. Current rural place of residence was positively associated with depressive symptoms in older women [adjusted odds ratio (aOR): 1.37, confidence interval (CI): 1.05–1.80] but not men. Childhood [aOR: 1.88, CI: 1.16–3.04], adulthood [aOR: 2.00, CI: 1.26–3.16] and current rural residence [aOR: 1.93, CI: 1.27–2.91] was positively associated with cognitive impairment in men. Only current rural residence [aOR: 1.71, CI: 1.29–2.27] was associated with cognitive impairment in women. There was no significant association between life-course place of residence and depressive symptoms except in case of lifetime rural residence Respondents with urban-urban-urban (childhood-adulthood-current) place of residence were less likely to have depressive symptoms [adjusted coefficient (aCoef.): -0.14, CI: -0.21- -0.07] compared to those with rural-rural-rural place of residence. There were significant associations between life-course residence and cognitive impairment except among rural-urban-rural and urban-rural-rural migrants, showing an urban advantage in cognitive function among older adults. Conclusions: This study showed significant associations between life-course residence and depressive symptoms among permanent rural/urban residents. The study also showed significant associations between life-course residence and cognitive impairment except among rural-urban-rural and urban-rural-rural migrants. Considering the rural disadvantage in mental and cognitive health among older adults, the government should continue to support policies that can improve access to education and healthcare among people residing in rural areas and women, in particular. The findings also urge social scientists and gerontologists in particular, to consider the importance of lifetime historical context while evaluating mental and cognitive health of older persons. [ABSTRACT FROM AUTHOR]

Background: Understanding disease-modifying therapy (DMT) use and healthcare resource utilization by different geographical areas among people living with multiple sclerosis (pwMS) may identify care gaps that can be used to inform policies and practice to ensure equitable care., Methods: Administrative data was used to identify pwMS on April 1, 2017 (index date) in Alberta. DMT use and healthcare resource utilization were compared between those who resided in various geographical areas over a 2-year post-index period; simple logistic regression was applied., Results: Among the cohort ( n = 12,338), a higher proportion of pwMS who resided in urban areas (versus rural) received ≥ 1 DMT dispensation (32.3% versus 27.4%), had a neurologist (67.7% versus 63.9%), non-neurologist specialist (88.3% versus 82.9%), ambulatory care visit (87.4% versus 85.3%), and MS tertiary clinic visit (59.2% versus 51.7%), and a lower proportion had an emergency department (ED) visit (46.3% versus 62.4%), and hospitalization (20.4% versus 23.0%). Across the provincial health zones, there were variations in DMT selection, and a higher proportion of pwMS who resided in the Calgary health zone, where care is managed by MS tertiary clinic neurologists, had an outpatient visit to a neurologist or MS tertiary clinic versus those who resided in other zones where delivery of MS-related care is more varied., Conclusions: Urban/rural inequalities in DMT use and healthcare resource utilization appear to exist among pwMS in Alberta. Findings suggest the exploration of barriers with consequent strategies to increase access to DMTs and provide timely outpatient MS care management, particularly for those pwMS residing in rural areas.

Background: We sought to demonstrate that the relationship between urban or rural residence and overweight status among women in Sub-Saharan Africa is complex and confounded by wealth status. Methods: We applied multilevel logistic regression to data from 30 sub-Saharan African countries which were collected between 2006 and 2012 to examine the association between women's overweight status (body mass index ≥ 25) and household wealth, rural or urban place of residence, and their interaction. Macro-level statistics from United Nations agencies were used as contextual variables to assess the link between progress in globalization and patterns of overweight. Household wealth was associated with increased odds of being overweight in nearly all of the countries. Urban/rural living and household wealth had a complex association with women's overweight status, shown by 3 patterns. In one group of countries, characterised by low national wealth (median per capita gross national income (GNI) = $660 in 2012) and lower overall prevalence of female overweight (median = 24 per cent in 2010), high household wealth and urban living had independent associations with increased risks of being overweight. In the second group of less poor countries (median per capita GNI = $870) and higher national levels of female overweight (median = 29), there was a cross-over association where rural women had lower risks of overweight than urban women at lower levels of household wealth, but in wealthier households, rural women had higher risks of overweight than urban women. In the final group of countries, household wealth was an important predictor of overweight status, but the association between urban or rural place of residence and overweight status was not statistically significant. The median per capita GNI for this third group was $800 and national prevalence of female overweight was high (median = 32% in 2010). Conclusions: As nations develop and household wealth increases, rural African women are at increased or higher risk of being overweight compared with urban women. Programmes and policies to address rising prevalence of overweight are needed in both rural and urban areas to avoid serious epidemics of non-communicable diseases. [ABSTRACT FROM AUTHOR]

Background: The purpose of this population-based study is to examine the association between subjective quality of life and rural/urban residence in six Italian regions, including age and gender into the analysis., Study Design: community survey., Study Population: Samples stratified according to sex and age, drawn from municipal records., Sample Size: 4999 people 18 years and older, from seven communities within six regions of Italy., Tools: Ad-hoc form to assess basic demographic data; SF-12. Interviewers were trained psychologists or medical doctors., Results: 3398 subjects were interviewed (68% of recruited sample). The mean score of SF-12 in the overall sample was 38.4±6.1, SF-12 was higher in men than in in women (38.4±6.1 vs 37.5±5.9 F=99.18, df 1, 3396, 3397, p<0.0001); SF-12 score decreased from the youngest to the oldest age group, with significant differences between all ages groups; men showed higher scores in all age groups. The urban/rural difference of mean scores of SF-12 did not achieve statistical significance in women. Young men with urban residence had higher SF-12 scores than their counterparts with rural residence. Maen aged 65 years and older with rural residence showed, by contrast, higher scores than men from the same age group with urban residence., Conclusions: Men show a higher subjective quality of life than women. Subjective quality of life decreases with age in both genders.Men are more sensitive to urban/rural residence than women.Young men live better in cities, elderly men better in rural areas.