Dataset Information

"When I Retire, I'll Move Out of the City": Mental Well-being of the Elderly in Rural vs. Urban Settings.

ABSTRACT: This study examines the influence of risk factors on mental well-being at older ages focusing on the level of rurality of the living environment. We used cross-sectional, nationally representative survey data for Catalonia (Spain) from 2015 to 2017 to explain the mental well-being of the population aged 65 years and over. Based on a sample of 2621 individuals, we created a score of current mental well-being using the Short Warwick-Edinburgh Mental Well-being Scale (SWEMWBS). Using logistic regression and non-parametric tests, we identified the sociodemographic, health and lifestyle variables which, in combination with the features of the rural and urban settings of the living space, were associated with poor SWEMWBS scores. Our results reveal that adequate social support is linked to expectations of good mental well-being in later life. Poor self-perceived health and ageing limitations are associated with less deterioration of the well-being for the elderly living in rural areas, whereas living in urban areas is linked to a higher risk of suffering from emotional distress attributable to economic difficulties or low educational attainment. Incentivizing older people to live in rural environments could result in greater well-being in the last stages of life; appropriate prospective studies are needed to test this positive outcome.

SUBMITTER: Alcaniz M

PROVIDER: S-EPMC7177390 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature

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"When I Retire, I'll Move Out of the City": Mental Well-being of the Elderly in Rural vs. Urban Settings.

Alcañiz Manuela M Riera-Prunera Maria-Carme MC Solé-Auró Aïda A

International journal of environmental research and public health 20200403 7

This study examines the influence of risk factors on mental well-being at older ages focusing on the level of rurality of the living environment. We used cross-sectional, nationally representative survey data for Catalonia (Spain) from 2015 to 2017 to explain the mental well-being of the population aged 65 years and over. Based on a sample of 2621 individuals, we created a score of current mental well-being using the Short Warwick-Edinburgh Mental Well-being Scale (SWEMWBS). Using logistic regre ...[more]

PMID: 32260213

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Project description:Policy Points Interventions in a regional system with intertwined threats and costs should address those threats that have the strongest, quickest, and most pervasive cross-impacts. Instead of focusing on an individual county's apparent shortcomings, a regional intervention portfolio can yield greater results when it is designed to counter those systemic threats, especially poverty and inadequate social support, that most undermine health and well-being virtually everywhere. Likewise, efforts to reduce smoking, addiction, and violent crime and to improve routine care, health insurance, and youth education are important for most counties to unlock both short- and long-term potential.ContextCounties across the United States must contend with multiple, intertwined threats and costs that defy simple solutions. Decision makers face the necessary but difficult task of prioritizing those interventions with the greatest potential to produce equitable health and well-being.MethodsUsing County Health Rankings data for a predefined peer group of 39 urban US counties, we performed statistical regressions to identify 37 cross-impacts among 15 threats to health and well-being. Adding appropriate time delays, we then developed a dynamic model of these cross-impacts and simulated each of the counties over 20 years to assess the likely impact of 12 potential interventions-individually and in a combined portfolio-for three outcomes: (1) years of potential life lost, (2) fraction of adults in fair or poor health, and (3) total spending on urgent services.FindingsThe combined portfolio yielded improvements by year 20 that are considerably greater than those at year 5, indicating that the time delays have a major effect. Despite the wide variation in threat levels across counties, the list of top-ranked interventions is strikingly similar. Poverty reduction and social support were the most highly ranked interventions, even in the shorter term, for all outcomes in all counties. Interventions affecting smoking, addiction, routine care, health insurance, violent crime, and youth education also were important contributors to some outcomes.ConclusionsTo safeguard health and well-being in a system dominated by tangled threats and costs, the most important priorities for a county cannot be simply inferred from a profile of its relative strengths and weaknesses. Two interventions stood out as the top priorities for almost all the counties in this study, and six others also were important contributors. Interventions directed toward these priority areas are likely to yield the greatest impact, irrespective of the county's specifics. A significant concentration of resources in a regional portfolio therefore ought to go to these strongest contributors for equitable health and well-being.

Project description:Cities in the United States have announced initiatives to become more sustainable, healthy, resilient, livable, and environmentally friendly. However, indicators for measuring all outcomes related to these targets and the synergies between them have not been well defined or studied. One such relationship is the linkage between air quality with emotional well-being (EWB) and neighborhood infrastructure. Here, regulatory monitoring, low-cost sensors (LCSs), and air quality modeling were combined to assess exposures to PM2.5 and traffic-related NOx in 6 Minneapolis, MN, neighborhoods of varying infrastructure parameters (median household income, urban vs suburban, and access to light rail). Residents of the study neighborhoods concurrently took real-time EWB assessments using a smart phone application, Daynamica, to gauge happiness, tiredness, stress, sadness, and pain. Both LCS PM2.5 observations and mobile-source-simulated NOx were calibrated using regulatory observations in Minneapolis. No statistically significant (??=?0.05) PM2.5 differences were found between urban poor and urban middle-income neighborhoods, but average mobile-source NOx was statistically significantly (??=?0.05) higher in the 4 urban neighborhoods than in the 2 suburban neighborhoods. Close proximity to light rail had no observable impact on average observed PM2.5 or simulated mobile-source NOx. Home-based exposure assessments found that PM2.5 was negatively correlated with positive emotions such as happiness and to net affect (the sum of positive and negative emotion scores) and positively correlated (ie, a higher PM2.5 concentration led to higher scores) for negative emotions such as tiredness, stress, sadness, and pain. Simulated mobile-source NOx, assessed from both home-based exposures and in situ exposures, had a near-zero relationship with all EWB indicators. This was attributed to low NOx levels throughout the study neighborhoods and at locations were the EWB-assessed activities took place, both owing to low on-road mobile-source NOx impacts. Although none of the air quality and EWB responses were determined to be statistically significant (??=?0.05), due in part to the relatively small sample size, the results are suggestive of linkages between air quality and a variety of EWB outcomes.

Dataset Information

"When I Retire, I'll Move Out of the City": Mental Well-being of the Elderly in Rural vs. Urban Settings.

Publications

"When I Retire, I'll Move Out of the City": Mental Well-being of the Elderly in Rural vs. Urban Settings.

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