Loneliness and depression among older European adults: The role of perceived neighborhood built environment

Associations between perceived built environment and depressive symptoms in China: The mediating roles of neighborly relationships and community attachment across age-gender groups

BACKGROUND

While prior research has linked the built environment to mental health, little attention has been given to how this relationship and its mechanisms differ at the intersection of gender and age. This study examines the direct and indirect associations between the perceived built environment and depressive symptoms, with neighborly relationships and community attachment as mediators. It also investigates how these associations vary across age-gender groups.

METHODS

Drawing from nationally representative data from two waves of the China Family Panel Studies (n = 14,200), this study applied a moderated mediation model to analyze the mediating role of neighborly relationships and community attachment, as well as the moderating role of age-gender groups.

RESULTS

The perceived built environment was negatively associated with depressive symptoms, and this relationship was mediated by both neighborly relationships and community attachment. Age-gender groups moderated both the direct and indirect associations, with middle-aged males exhibiting the strongest direct association, while middle-aged females demonstrated more pronounced indirect associations through social cohesion.

LIMITATIONS

This study relied on self-reported data to assess the built environment, and both neighborly relationships and community attachment were measured using single-item indicators, which may limit the depth of analysis. Furthermore, the observational design of the study precludes definitive causal inferences from the findings.

CONCLUSIONS

The study reveals varying associations between the perceived built environment and depressive symptoms across age-gender groups, with middle-aged males more affected by environmental stressors and middle-aged females benefiting from social cohesion. These findings provide insights for targeted interventions and policies.

Urban built environment and its impact on university students' loneliness: a mechanistic study

Introduction

With the acceleration of urbanization and social changes, loneliness among university students is becoming increasingly common. The urban built environment is closely related to loneliness. This study explores the impact of the urban built environment on the loneliness of university students from multiple built environment elements such as road network density, land use mix, and service facilities. It is of great significance to optimize urban planning and improve the mental health of university students.

Methods

Based on questionnaire data and point interest data of various facilities, Spearman correlation analysis, Ridge regression model and geographic detector were used to explore the impact mechanism of urban built environment on loneliness of university students.

Results

The study shows that loneliness is widespread and relatively severe among university students. The urban built environment is closely related to university students' loneliness: the number of catering, transportation, tourist attractions, leisure and entertainment, healthcare, and sports facilities, as well as road network density, are significantly negatively correlated with loneliness, while the number of shopping facilities and land use mix are positively correlated with loneliness. Geographic detector analysis shows that tourist attractions, health care facilities and land mix have a significant impact on university students' loneliness, and the interaction of multidimensional factors significantly improves the explanatory power of loneliness.

Conclusion

To alleviate loneliness among university students, interventions should be approached from the perspective of urban planning and management. Firstly, it is essential to improve leisure, landscape, transportation, healthcare, and fitness facilities, enhancing their accessibility to foster social interactions. Secondly, increasing the availability of socially-oriented public spaces, such as student activity centers, community squares, and shared learning spaces, can strengthen interaction and communication. Additionally, policymakers should optimize the layout of urban transportation networks to encourage students to use public transit. Urban planners can support active transportation modes, such as walking and cycling, by rationally allocating road space. Lastly, the strategic placement of green and open spaces, such as parks and squares, should be prioritized to enhance access to natural environments, promote social activities, and mitigate feelings of loneliness.

A network analysis on the relationship between depression symptoms and loneliness in elderly Peruvians

Loneliness and depression are the most prevalent mental health issues among older adults, and their relationship has been documented in studies using reflective psychopathological models based on the total scores. However, mental health problems should be investigated at the level of individual symptoms in order to develop intervention strategies aimed at mitigating the adverse impact of both variables. The goal was to examine the extent to which symptoms of loneliness relate to symptoms of depression in elderly Peruvians using the network method in 328 Peruvian adults with an average age of 68.44 years (SD = 7.64). The participants were selected through non-probability convenience sampling, which may limit the generalizability of the results. The Patient Health Questionnaire-2 (PHQ-2) and three-item UCLA Loneliness Scale were used in this study. Network analysis was used to identify central and bridging symptoms within the network of loneliness and depressive symptoms. Furthermore, the invariance in symptom networks between men and women was estimated. The results indicated that 'feeling excluded' was the most central symptom. Furthermore, the symptoms 'feeling excluded' and 'anhedonia' have the strongest relationship and can be considered as bridge symptoms between loneliness and depressive disorders. Symptom networks were invariant between men and women (M = .26; p = .42; S = .09; p = .38). In conclusion, the network structure provides valuable insights into the relationship between the symptoms of loneliness and depression in older Peruvian adults. The results suggest that the symptoms 'feeling excluded' and 'anhedonia' could serve as potential targets for psychological interventions aimed at efficiently reducing loneliness and depression.

Exploring the relationship between neighborhood walkability and mental health: A study of urban areas in Texas

Background

While importance of walkable neighborhoods for health is increasingly recognized, the relationship between walkability and mental health remains, especially in urban settings, unclear. This study investigated the link between walkability and mental health in urban Texas. We hypothesized that higher neighborhood walkability would correlate with lower mental health encounters.

Methods

A cross-sectional study using Texas adult outpatient encounters from 2014 to 2019 supplemented by ZIP Code-level US-census socioeconomics data. Neighborhood walkability was assessed using the 2019-WalkScore (0-100) and was categorized into four groups: from completely car-dependent to very walkable/walker's paradise. Outpatient mental health encounters included depression, bipolar disorder, anxiety, and stress disorders. Generalized linear models were used to assess the association between walkability and mental health, while adjusting for demographics and socioeconomics.

Results

We included 55 million encounters from 751 Texas ZIP Codes (median WalkScore 28, 73 % < 65 years, 64 % women, 15 % Blacks, 16 % Hispanics, 15 % live in poverty, and 17 % without health insurance). Anxiety/stress disorders contributed to 68 % of the mental health encounters. The rate of mental health encounters was at least 3 times higher (5543 vs 1827 encounters per 100,000 population) (RR 3.03, 95%CI 1.53-6.03) in urban areas with the highest WalkScores, compared to lowest walkability neighborhoods. A similar pattern was found among depression (RR 4.8, 95%CI 2.45-9.46) and bipolar (RR 10.8, 95%CI 4.17-28.07) encounters. After adjusting for demographic and socioeconomic factors, the positive association remained significant for both depression (aRR 1.94, 95%CI 1.19-3.17) and bipolar (aRR 2.76, 95%CI 1.65-4.65) encounters, but not for total mental health encounters (aRR 1.22, 95%CI 0.76-1.96, P = 0.416).

Conclusion

The study findings challenge our initial hypothesis, revealing a positive association between neighborhood walkability and various mental health encounters, emphasizing the complex intersection between urban environment and mental health. This suggests that walkability does not solely determine mental health outcomes. A deeper understanding of how demographics, socioeconomic factors, and neighborhood characteristics interact is essential to inform policies that create more equitable mentally-healthy cities.

Neighborhood Walkability, Third Place Engagement, and Their Impact on Physical Activity and Social Capital for Older Adults Living Alone and With Others

This study examines how neighborhood walkability, third place engagement, and socio-demographic characteristics affect leisure-time physical activity and social capital among older adults. It also investigates how these relationships differ between those living alone and those living with others. Data for this study were collected via an online survey administered to 638 older adults, aged 65 and above, residing in Orlando, Florida. Ordinary least squares (OLS) regression models were employed. Frequent visits to third places significantly increased moderate leisure-time physical activity and social capital. Neighborhood walkability also played a crucial role in promoting physical activity and social capital. The availability and condition of sidewalks also played a positive role in promoting physical activity. Enhancing neighborhood walkability and promoting third place engagement can be key strategies for improving both physical and social well-being among older adults, especially those living alone.

Disrupted and Disconnected Post Disaster: Associations Between the Social and Built Environment and Loneliness During COVID-19 in a U.S. Gulf Coast Sample

Loneliness, a significant public health issue, was exacerbated during the COVID-19 pandemic, particularly in disaster-prone regions like the U.S. Gulf Coast. This study examined how social and built environmental factors were associated with pandemic-related disruptions and loneliness among respondents from the third wave of the Survey of Trauma, Resilience, and Opportunity among Neighborhoods in the Gulf (STRONG). Using a retrospective measure of loneliness (pre-pandemic vs. during pandemic), we found that loneliness increased significantly during the pandemic. Using a measure of routine behavior disruptions and measures of both objective (e.g., parks, walkability, etc.) and subjective (e.g., neighborhood safety, social cohesion, etc.) environmental factors, we found that disruptions to daily routines strongly predicted higher loneliness, and subjective measures, such as neighborhood safety, social cohesion, and lacking post-disaster social support, were more salient predictors of loneliness than objective factors such as the number of parks in one's neighborhood. Difficulty accessing green spaces and housing distress were linked to greater COVID-19 disruptions, indirectly contributing to loneliness. These findings highlight the importance of safe, supportive, and accessible social and physical environments in mitigating loneliness and enhancing community resilience during crises.

Addressing social isolation and suicide risk in South Korea's permanent rental housing: An empirical investigation of intervention Strategies

This study examines social isolation and suicide risk in South Korea's permanent rental housing, which has been in existence since 1989. The research objectives are threefold: firstly, to identify individuals and households at heightened risk of mental health challenges; secondly, to analyze the causal relationships between residential environments and mental health outcomes; and thirdly, to formulate evidence-based recommendations for suicide prevention interventions. The study employs data from the Housing Management Agency and the Korea Welfare Panel Survey (KOWEPS) to emamine a range of factors, including household composition, age, gender, housing satisfaction, and social relationships. The study's key findings indicate an elevated prevalence of suicide and loneliness, particularly among older adults and single-person households. Significant influences on these outcomes include financial stress, housing tenure, neighborhood characteristics, and housing quality. The study identifies depression as a critical factor, influenced by self-esteem, social support, and environmental satisfaction, with older residents with lower education and employment rates being most at risk. The research underscores the need for demographically targeted mental health strategies and highlights the importance of expanded public health interventions and housing improvements. It advocates for early identification and proactive management of mental health risks, emphasizing a comprehensive approach to reducing social isolation and suicide in permanent rental housing.

Health status correlates of malnutrition diagnosed based on the GLIM criteria in older Polish adults-Results of the PolSenior 2 study

INTRODUCTION

Older individuals are at risk of malnutrition resulting from chronic diseases-related body and muscle mass reduction. In turn, nutritional deficiencies may enhance catabolic processes, leading to accelerated aging and comorbidity, thus creating a vicious cycle. Our study aimed to assess the prevalence of malnutrition using the Global Leadership Initiative on Malnutrition (GLIM) criteria and to determine the health correlates of malnutrition in a representative sample of community-dwelling older adults.

METHODS

We used the GLIM criteria to diagnose malnutrition in 5,614 participants of the PolSenior2 study. The PolSenior2 study was a population-based survey designed to assess the medical, psychological, social, and economic characteristics of community-dwelling older adults.

RESULTS

Malnutrition was diagnosed in 13.4% of the participants using the GLIM criteria. Results of multiple logistic regression showed that the risk of depression [OR 4.18, p<0.001], peptic ulcer disease [OR 2.73, p<0.001], past stroke [OR 1.71, p<0.001], cognitive impairment [OR 1.34, p = 0.015], and chronic pain [OR 1.23, p = 0.046] were independent correlates of malnutrition.

CONCLUSION

Due to the high risk of malnutrition, special attention should be paid to individuals in late old age. Suspected malnutrition should also be considered in people at risk of depression, with peptic ulcer disease, past stroke, and cognitive impairment. Chronic pain should also prompt the diagnosis for malnutrition.

Neighborhood Built Environments and Health in Later Life: A Literature Review

Objectives: This literature review aims to assess the current state of the field linking neighborhood environments to later-life health and wellbeing. Methods: We used electronic databases (e.g., PubMed, Google Scholar, and ProQuest) to search for studies published between 2010 and 2022 examining associations between neighborhood built environmental variables and later-life physical, cognitive, mental, and social health outcomes. Results: Among 168 studies reviewed, the majority were quantitative (n = 144) and cross-sectional (n = 122). Neighborhood environmental variables significantly associated with later-life health outcomes included population density/rurality, walkability/street connectivity, access to services and amenities, neighborhood quality and disorder, and parks/green/blue/open space. Neighborhoods operated through behavioral and biological pathways including hazardous exposures, affective states (e.g., stress and restoration), and lifestyle (e.g., exercise, socialization, and diet). Discussion: Neighborhoods and healthy aging research is a burgeoning interdisciplinary and international area of scholarship. Findings can inform upstream community interventions and strengthen clinical care.

The effect of community environment on the trajectory of depressive symptoms and cohort differences among middle-aged and older Chinese adults

Background

Urbanization has changed the living environment of middle-aged and older Chinese adults, but it also brings certain mental pressure to them. Few studies have explored the effect of community environment on the development trajectory and the cohort differences of depressive symptoms in Chinese individuals.

Methods

Based on the longitudinal data of the China Health and Retirement Longitudinal Study (CHARLS) from 2011 to 2020, using three-level hierarchical linear growth model, this study examined the effect of community environment on the trajectory of depressive symptoms and cohort differences among middle-aged and older Chinese adults in five cohorts from 1920 to 1929, 1930-1939, 1940-1949, 1950-1959, and 1960-1966.

Results

The results of this study showed that middle-aged and older adult individuals who lived in neighborhoods with better community physical and social environments had a protective effect on depressive symptoms. There was a cohort difference in the development of depressive symptoms among middle-aged and older Chinese adults. The baseline depressive symptoms in the later birth cohorts were higher than those in the earliest cohort, and the development rate were also significantly higher. The role of community environment in the development rate of depressive symptoms among middle-aged and older adult individuals varied across the cohort. A better community social environment had a more significant moderating effect on the development rate of depressive symptoms in the early birth cohort (1930-1939), and a better physical environment had a more significant moderating effect on the development rate of depressive symptoms in the 1940-1949 cohort.

Conclusion

Under the strategic background of healthy aging in China, the construction and improvement of community environment should become an important part of coping with the realistic challenges of the aging population, such as the expanding scale of depressed population among the middle-aged and older adult individual.

Perception of one's social environment and loneliness: results of the nationally representative "Old age in Germany (D80+)" study

OBJECTIVES

To examine the association between perception of one's social environment (in terms of residential attachment and neighborhood trust) and loneliness among the oldest old and whether these associations differ by living arrangement.

METHODS

We used data from the nationally representative "Old Age in Germany (D80+)" study that included individuals residing in private households and institutionalized settings. The analytic sample was 9,621 individuals (average age: 85.5 years, SD: 4.1 years; 62% female). Data collection took place from November 2020 to April 2021. Multiple linear regressions were conducted with adjustment for relevant covariates.

RESULTS

Higher residential attachment (β=-0.02, p < .05) and higher neighborhood trust (β=-0.12, p < .001) were associated with less loneliness. The latter association was moderated by living arrangement (β=-0.09, p = .04) such that the association between neighborhood trust and loneliness was stronger among individuals living in institutionalized settings compared to individuals in private households.

CONCLUSION

Greater residential attachment and neighborhood trust, particularly among individuals living in institutionalized settings, are associated with less loneliness among the oldest old. Finding ways to improve perceived attachment and trust may assist in avoiding loneliness among older individuals.

Nonlinear and threshold effects of built environment on older adults' walking duration: do age and retirement status matter?

Introduction

Walking plays a crucial role in promoting physical activity among older adults. Understanding how the built environment influences older adults' walking behavior is vital for promoting physical activity and healthy aging. Among voluminous literature investigating the environmental correlates of walking behaviors of older adults, few have focused on walking duration across different age groups and life stages, let alone examined the potential nonlinearities and thresholds of the built environment.

Methods

This study employs travel diary from Zhongshan, China and the gradient boosting decision trees (GBDT) approach to disentangle the age and retirement status differences in the nonlinear and threshold effects of the built environment on older adults' walking duration.

Results

The results showed built environment attributes collectively contribute 57.37% for predicting older adults' walking duration, with a higher predicting power for the old-old (70+ years) or the retired. The most influencing built environment attribute for the young-old (60-70 years) is bus stop density, whereas the relative importance of population density, bus stop density, and accessibility to green space or commercial facilities is close for the old-old. The retired tend to walk longer in denser-populated neighborhoods with better bus service, but the non-retired are more active in walking in mixed-developed environments with accessible commercial facilities. The thresholds of bus stop density to encourage walking among the young-old is 7.8 counts/km2, comparing to 6 counts/km2 among the old-old. Regarding the green space accessibility, the effective range for the non-retired (4 to 30%) is smaller than that of the retired (12 to 45%).

Discussion

Overall, the findings provide nuanced and diverse interventions for creating walking-friendly neighborhoods to promote walking across different sub-groups of older adults.

Urban environment and health: a cross-sectional multiregional project based on population health surveys in Spain (DAS-EP project) - study protocol

INTRODUCTION

The European Environment Agency estimates that 75% of the European population lives in cities. Despite the many advantages of city life, the risks and challenges to health arising from urbanisation need to be addressed in order to tackle the growing burden of disease and health inequalities in cities. This study, Urban environment and health: a cross-sectional multiregional project based on population health surveys in Spain (DAS-EP project), aims to investigate the complex association between the urban environmental exposures (UrbEEs) and health.

METHODS AND ANALYSIS

DAS-EP is a Spanish multiregional cross-sectional project that combines population health surveys (PHS) and geographical information systems (GIS) allowing to collect rich individual-level data from 17 000 adult citizens participating in the PHS conducted in the autonomous regions of the Basque Country, Andalusia, and the Valencian Community, and the city of Barcelona in the years 2021-2023. This study focuses on the population living in cities or metropolitan areas with more than 100 000 inhabitants. UrbEEs are described by objective estimates at participants' home addresses by GIS, and subjective indicators present in PHS. The health outcomes included in the PHS and selected for this study are self-perceived health (general and mental), prevalence of chronic mental disorders, health-related quality of life, consumption of medication for common mental disorders and sleep quality. We aim to further understand the direct and indirect effects between UrbEEs and health, as well as to estimate the impact at the population level, taking respondents' sociodemographic and socioeconomic characteristics, and lifestyle into consideration.

ETHICS AND DISSEMINATION

The study was approved by the regional Research Ethics Committee of the Basque Country (Ethics Committee for Research Involving Medicinal Products in the Basque Country; PI2022138), Andalusia (Biomedical Research Ethics Committee of the Province of Granada; 2078-N-22), Barcelona (CEIC-PSMar; 2022/10667) and the Valencian Community (Ethics Committee for Clinical Research of the Directorate General of Public Health and Center for Advanced Research in Public Health; 20221125/04). The results will be communicated to the general population, health professionals, and institutions through conferences, reports and scientific articles.

Urban environment in pregnancy and postpartum depression: An individual participant data meta-analysis of 12 European birth cohorts

BACKGROUND

Urban environmental exposures associate with adult depression, but it is unclear whether they are associated to postpartum depression (PPD).

OBJECTIVES

We investigated associations between urban environment exposures during pregnancy and PPD.

METHODS

We included women with singleton deliveries to liveborn children from 12 European birth cohorts (N with minimum one exposure = 30,772, analysis N range 17,686-30,716 depending on exposure; representing 26-46 % of the 66,825 eligible women). We estimated maternal exposure during pregnancy to ambient air pollution with nitrogen dioxide (NO2) and particulate matter (PM2.5 and PM10), road traffic noise (Lden), natural spaces (Normalised Difference Vegetation Index; NDVI, proximity to major green or blue spaces) and built environment (population density, facility richness and walkability). Maternal PPD was assessed 3-18 months after birth using self-completed questionnaires. We used adjusted logistic regression models to estimate cohort-specific associations between each exposure and PPD and combined results via meta-analysis using DataSHIELD.

RESULTS

Of the 30,772 women included, 3,078 (10 %) reported having PPD. Exposure to PM10 was associated with slightly increased odds of PPD (adjusted odd ratios (OR) of 1.08 [95 % Confidence Intervals (CI): 0.99, 1.17] per inter quartile range increment of PM10) whilst associations for exposure to NO2 and PM2.5 were close to null. Exposure to high levels of road traffic noise (≥65 dB vs. < 65 dB) was associated with an OR of 1.12 [CI: 0.95, 1.32]. Associations between green spaces and PPD were close to null; whilst proximity to major blue spaces was associated with increased risk of PPD (OR 1.12, 95 %CI: 1.00, 1.26). All associations between built environment and PPD were close to null. Multiple exposure models showed similar results.

DISCUSSION

The study findings suggest that exposure to PM10, road traffic noise and blue spaces in pregnancy may increase PPD risk, however future studies should explore this causally.

Social Infrastructure Availability and Suicide Rates among Working-Age Adults in the United States

Social infrastructure (SI) may buffer against suicide risk by improving social cohesion, social support, and information and resource sharing. This study uses an ecological approach to examine the relationship between county-level SI availability and suicide rates among working-age adults (ages 25-64) in the United States, a population for whom suicide rates are high, rising, and geographically unequal. Mortality data are from the National Vital Statistics System for 2016-2019. SI data are from the National Neighborhood Data Archive for 2013-2015 and capture the availability of typically free SI (e.g. libraries, community centers) and commercial SI (e.g. coffee shops, diners, entertainment venues). Results from negative binomial models show that suicide rates are significantly lower in counties with more SI availability, net of county demographic, socioeconomic, and health care factors. This relationship held for both typically free and commercial SI. Policymakers should consider strengthening existing and developing new social infrastructure, particularly in counties with less educated populations, as part of a broader strategy to reduce suicide rates in the United States.

Social-ecological factors influencing loneliness and social isolation in older people: a scoping review

There are growing calls from researchers and policy makers to redefine loneliness and social isolation (SI) as public health issues, and to move towards a transdisciplinary, systems-based approach, due to their association with significant health risks, particularly in older people. Research about loneliness and SI in older people has typically adopted a narrow focus, evaluating effects of individual and inter-personal factors on these experiences. Less is known about the community and societal influences that may be used to inform public health interventions. We conducted a scoping review applying Joanna Briggs Institute methodology and the social-ecological model framework in order to: i) identify the available evidence for the influence of the community and societal factors on loneliness and SI as experienced by older people; ii) examine how quantitative research about community- and societal-level factors of loneliness and SI in the older population is conducted; and iii) identify current knowledge gaps in relation to the use of the social-ecological model in this area. A total of 52 articles from 30 countries met the inclusion criteria, including 33 observational studies, primarily cross-sectional (88%), and 19 interventions, mostly (89%) pre-post evaluations. The majority of included articles measured loneliness only (n = 34, 65%), while 11 measured both loneliness and SI (21%). To measure these outcomes validated scales were frequently used. Eighteen community/societal factors were investigated in relation to loneliness and/or SI, most commonly neighbourhood safety, access to public third-places and cultural practices. Three societal-level interventions were found: two campaigns to reduce ageism and one which explored the impact of free public transport. Community-based interventions were either educational or enlisted volunteers to foster connections. There is a need for longitudinal studies to better understand the mechanisms through which community- and societal- level factors affect loneliness and SI, which in turn will guide interventions that utilise the social-ecological framework for these issues.

Driving the determinants of older people's mental health in the context of urban resilience: a scoping review

BACKGROUND

Population aging is a pervasive phenomenon occurring rapidly worldwide, while sustainable development goals are considered the mental health among older adults.

METHODS

To investigate the factors affecting mental health, we conducted a scoping review of the 47 papers published between 2015 and 2022 to explore various dimensions affecting older adults' mental health.

RESULTS

Our finding mirrors four dimensions of creating healthy and sustainable environments for older adults: person, place, processes, and resilience-related health in the living environment. The person dimension includes individual characteristics, attitudes and behaviors, and health status. The place dimension is divided into five categories: land use, access, physical form, public open spaces, and housing, while the process consists of the social, cultural, and economic environments. Resilience-related health dimension emphasizes the impact of natural and man-made disasters on older people's mental health.

DISCUSSION

These findings can provide policymakers insights into developing community-based environmental intervention strategies to promote mental health among older adults and support healthy and active aging.

Neighbourhood cohesion, loneliness and perceived social isolation prior and during the COVID-19 pandemic. Longitudinal evidence from the German Ageing Survey

PURPOSE

To investigate the longitudinal association between neighbourhood cohesion and loneliness as well as perceived social isolation prior and during the COVID-19 pandemic (stratified by sex).

METHODS

Longitudinal data were taken from a nationally representative sample (German Ageing Survey) of inhabitants aged 40 years and over in Germany prior (wave 6: year 2017) and during the COVID-19 pandemic (wave 8: November 2020 until February 2021; n = 6688 observations, mean age was 67.4 years). The De Jong Gierveld tool was used to measure loneliness and the Bude and Lantermann tool was used to measure perceived social isolation. Neighbourhood cohesion was assessed based on different items.

RESULTS

FE regressions showed that decreases in closeness of contact with neighbours were associated with increases in loneliness and perceived social isolation levels among men, but not women. In contrast, decreases in different indicators of involvement in neighbourhood activities were associated with increases in loneliness and perceived social isolation levels among women, but not men.

CONCLUSION

Changes in neighbourhood factors are differently associated with loneliness and perceived social isolation among middle-aged and older women and men. Gender-specific efforts to avoid loneliness and social isolation are, therefore, needed.

The relationship between weight self-stigma, depression and loneliness in people with obesity

The research was conducted to determine the level of weight self-stigma, depression loneliness and whether is there a relationship between them. This was a descriptive correlational study. The study was conducted in a diet outpatient clinic of a university hospital. Participants had moderate weight self-stigma, depression and loneliness. Weight self-stigma sub-dimensions self-devaluation (β=0.28; p<0.001) and fear of enacted stigma (β=0.28; p<0.001) equally predicted depression. Fear of enacted stigma predicted social loneliness negatively (β=-.44; p<0.001). Fear of enacted stigma (β =.16, p<.005) and depression (β =.44, p<.001) predicted emotional loneliness positively. Weight self-stigma was positively correlated with depression and loneliness (p<0.001).

Community indicators for mental health in Europe: a scoping review

Background

Community indicators may predict and influence individuals` mental health, and support or impede mental health management. However, there is no consensus on which indicators should be included in predictions, prognostic algorithms, or management strategies for community-based mental health promotion and prevention approaches. Therefore, this scoping review provides an overview of relevant community-level indicators for mental health in the general as well as risk populations in a European context.

Methods

We conducted a scoping review in the following electronic databases: PubMed, Embase, and PsycInfo. Eligible studies focused on context factors such as either the physical or social environment, reporting at least one mental health outcome and referring to a European population. Publications between 2012 and March 8, 2022 are considered.

Results

In total, the search yielded 12,200 identified records. After the removal of duplicates, 10,059 records were screened against the eligibility criteria. In total, 169 studies were included in the final analysis. Out of these included studies, 6% focused on pan-European datasets and 94% on a specific European country. Populations were either general or high-risk populations (56 vs. 44%, respectively) with depressive disorder as the main reported outcome (49%), followed by general mental health (33%) and anxiety (23%). Study designs were cross-sectional studies (59%), longitudinal (27%), and others (14%). The final set of indicators consisted of 53 indicators, which were grouped conceptually into 13 superordinate categories of community indicators. These were divided into the domains of the physical and social environment. The most commonly measured and reported categories of community indicators associated with mental health outcomes were social networks (n = 87), attitudinal factors toward vulnerable groups (n = 76), and the characteristics of the built environment (n = 56).

Conclusion

This review provides an evidence base of existing and novel community-level indicators that are associated with mental health. Community factors related to the physical and social environment should be routinely recorded and considered as influencing factors or potentially underestimated confounders. The relevance should be analyzed and included in clinical outcomes, data, monitoring and surveillance as they may reveal new trends and targets for public mental health interventions.

Neighborhood Effect on Elderly Depression in Republic of Korea

This study analyzed the spatial distribution patterns of depression among vulnerable elderly across Republic of Korea. The average level of depression in the basic administrative districts was derived using the individual depression scores from the Health Interview Survey data. Results of the spatial autocorrelation analysis revealed that the Moran's I value was 0.3138, indicating the existence of a neighborhood effect in the depression of the vulnerable older adults at the regional level. Subsequently, cluster analysis and one-way ANOVA were conducted for the hot spots where vulnerable older adult depression was concentrated. Based on the cluster analysis results, hot spots were the areas where the facilities that are necessary for the daily lives of older adults were insufficient and were categorized into three types. The findings indicate that environmental characteristics at the regional level should be considered in addition to the environmental characteristics of the house and neighborhood, which have been primarily addressed in previous studies.

Perceptions of neighborhood environment and loneliness among older Chinese adults: the mediator role of cognitive and structural social capital

OBJECTIVE

This study aimed to examine the mediating role of social capital in the association between perceived physical neighborhood environment and loneliness among older adults in urban China.

METHOD

Data were derived from face-to-face interviews with people (n = 472) aged 60 or older in urban communities of Shanghai, China, in 2020. Loneliness was measured by the 6-item De Jong Gierveld Scale. A multiple mediator model was adopted to examine the research hypotheses.

RESULTS

Cognitive social capital played a full mediation role in the association between perceived community health care (β = -.061, p < .05), safety (β = -.168, p < .001), recreational services (β = -.058, p < .05), and loneliness. Structural social capital was associated with loneliness (β = -.102, p < .05), whereas its mediator effect was not significant. Perceived transportation convenience had neither a direct nor an indirect effect on loneliness among older adults.

CONCLUSION

Findings indicate that older adults' perceptions of healthcare services, safety, and recreational resources could help alleviate their loneliness via fostering cognitive social capital. Interventions improving older adults' perceptions of community health care, safety, and recreation, and their social capital level could help reduce the prevalence of loneliness.

Analysis of the Impact of Environmental Perception on the Health Status of Middle-Aged and Older Adults: A Study Based on CFPS 2020 Data

Health risks and hazards caused by the environment have long been one of the most important public issues of concern to the state, society, and the public. At the same time, population aging is becoming a global issue, and residents' health is the most important component of people's livelihood, and residents can only pursue other rights and interests if they can protect their own health. Therefore, based on the micro data from the fifth round of the China Family Panel Studies (CFPS), this paper uses binary logistic regression with propensity score matching (PSM) to analyze the effect of environmental perception on the health status (including mental health and physical health) of middle-aged and older adults. It was found that environmental perceptions significantly affect the depressive state and sickness status of middle-aged and older adults. Among them, middle-aged and older adults who were female, of rural households, with low education and relatively low income were more affected by environmental shocks on their health. Therefore, we should pay attention to the mental and physical health of middle-aged and older adults and change the existing design concept of aging policy: the government should formulate effective policies and increase corresponding social support; and society and families should also give corresponding care and encourage middle-aged and older adults to exercise more and provide reasonable psychological guidance.

The impact of the built environment on loneliness: A systematic review and narrative synthesis

Loneliness is a pressing public health issue. Although quintessentially individual, it is shaped by wider environmental, cultural, socio-economic, and political circumstances. Using a systematic review methodology, this paper draws on interdisciplinary research to conceptualise the relationship between the built environment and loneliness. We present a narrative synthesis of 57 relevant studies to characterise the body of evidence and highlight specific built-environment elements. Our findings demonstrate the need for further conceptual and empirical explorations of the multifaceted ways in which built environments can prevent loneliness, supporting calls for investment into this public-health approach.

The Relationship Between Built Environment and Mental Health of Older Adults: Mediating Effects of Perceptions of Community Cohesion and Community Safety and the Moderating Effect of Income

Many studies revealed a significant correlation between low-density built environment and the mental health of older adults in developed countries. However, scholars and decision-makers recently began to pay close attention to the effect of this relationship in high-density built environments and in developing countries. Using point-of-interest (POI) data from Baidu and data on 20 communities in Guangzhou, China, which were collected through a questionnaire survey, this study aimed to examine the relationship between built environment and the mental health of older adults as well as the physiological–psychological mediating paths between the two, so as to enrich the research on population aging in the high-density urban context in developing countries. The findings indicated that facility accessibility and distance to parks significantly positively correlated with the mental health of older adults and the number of public transit stations, and the distance to these stations significantly negatively correlated with the mental health of older adults. Also, the perceptions of community cohesion and community safety had a significant mediating effect between the built environment and the mental health of older adults. Furthermore, the moderating effect analysis results verified the moderating effect of income: with an increase in income, the perception of community cohesion enhanced the protection of the mental health of older adults and reduced the mediating effect of the perception of community safety. The results provided a reference for policy-makers and urban planners in their efforts to plan and build health-supporting communities and a healthy aging society.

Perceived neighborhood environment, social capital and life satisfaction among older adults in Shanghai, China

This study examined the mediator role of social capital on the association between perceived neighborhood environment and life satisfaction among older adults in urban China, and further tested the moderating effect of gender in the above paths (i.e., from neighborhood environment to life satisfaction; from neighborhood environment to social capital; from social capital to life satisfaction). We used quota sampling approach to recruit 472 respondents aged 60 years old or older in Shanghai in 2020. From the perspective of structural equation modeling, multiple group analysis was conducted to examine the proposed hypotheses. The measurement model of social capital was well established in urban Chinese community contexts. Based on the whole sample, the results of the mediation model showed that social capital played a mediation role in the association between neighborhood environment and life satisfaction. Furthermore, the results of multiple group analysis showed that the association between neighborhood environment and cognitive social capital was only significant among older women. The findings highlight the role of neighborhood environment and social capital in building age-friendly communities.

Association between community environment and depressive symptoms among Chinese middle-aged and older adults: evidence from national longitudinal surveys from 2011 to 2018

BACKGROUND

Despite the growing evidence on the relationship between community environment and depressive symptoms, little is known about the longitudinal relationship in older adults. This study aimed to examine the longitudinal association between community environment and depressive symptoms based on a nationally representative survey among Chinese middle-aged and older adults.

METHODS

A total of 6872 participants from the latest four waves (2011, 2013, 2015 and 2018) of China Health and Retirement Longitudinal Study were included. The Centre for Epidemiologic Studies Depression scale was used to measure depressive symptoms, and Cox proportional hazards regression models were conducted to investigate the longitudinal association between community environment and depressive symptoms after adjusting included covariates.

RESULTS

Both community infrastructure and organisations were significantly associated with depression, and infrastructure was associated with higher risk reduction in depression (hazard ratio [HR], 0.77; 95% confidence interval [CI], 0.66-0.89). Furthermore, we estimated the heterogeneous effects of community infrastructure and organisations for vulnerable populations. Additionally, family-based elder-care centre (HR, 0.63; 95% CI, 0.46-0.86) and outdoor exercise facilities (HR, 0.76; 95% CI, 0.68-0.84) were found as significant correlates associated with lower depressive symptom risk.

CONCLUSIONS

Our findings indicated that targeted and specific measures should be taken to improve the construction of community infrastructure and strengthen the role of community organisations. Specifically, providing a family-based elder-care centre and establishing outdoor exercise facilities might be effective methods to reduce the risk of depression and relieve related public health burdens among Chinese middle-aged and older adults.

Income inequalities, social support and depressive symptoms among older adults in Europe: a multilevel cross-sectional study

This study analysed the association between income inequality and depression from a multilevel perspective among older adults in Europe, including an examination of the role of social support. The data came from Eurostat’s European Health Interview Survey (EHIS). Selected participants were aged 65 years or above (n = 68,417) and located in 24 European countries. The outcome variable (depression) was measured using the eight-item Patient Health Questionnaire (PHQ-8). The resulting dataset included individual-level (level-1) and aggregate-level (level 2) exposure variables. Level-1 included income quintiles and social support as exposure variables and sex, age, living alone, limitation in activities of daily living and general activity limitation as control variables. Level 2 included the Gini coefficient, healthcare expenditure and dependency ratio. A multilevel linear regression analysis was performed with maximum likelihood (ML) estimation. All the income quintiles from 1 to 4 showed higher average scores for depression than quintile 5 (the highest). Higher social support scores were associated with lower scores for depression. An interaction was found between income quintile and social support, with higher levels of social support associated with lower scores for depression in quintiles 1 and 2. Higher Gini coefficient scores were associated with higher scores for depression. A significative random slope for social support was also found, meaning that the relationship between social support and depression differed across countries. No significant interaction was found between the Gini coefficient and social support. The study findings suggest that more unequal societies provide a less favourable context for the mental health of older adults. There are also significant country-dependent differences in terms of the relationship between support and mental health among older adults.

Predicting Perceptions of the Built Environment using GIS, Satellite and Street View Image Approaches

BACKGROUND

High quality built environments are important for human health and wellbeing. Numerous studies have characterized built environment physical features and environmental exposures, but few have examined urban perceptions at geographic scales needed for population-based research. The degree to which urban perceptions are associated with different environmental features, and traditional environmental exposures such as air pollution or urban green space, is largely unknown.

OBJECTIVE

To determine built environment factors associated with safety, lively and beauty perceptions across 56 cities.

METHODS

We examined perceptions collected in the open source Place Pulse 2.0 dataset, which assigned safety, lively and beauty scores to street view images based on crowd-sourced labelling. We derived built environment measures for the locations of these images (110,000 locations across 56 global cities) using GIS and remote sensing datasets as well as street view imagery features (e.g. trees, cars) using deep learning image segmentation. Linear regression models were developed using Lasso penalized variable selection to predict perceptions based on visible (street level images) and GIS/remote sensing built environment variables.

RESULTS

Population density, impervious surface area, major roads, traffic air pollution, tree cover and Normalized Difference Vegetation Index (NDVI) showed statistically significant differences between high and low safety, lively, and beauty perception locations. Visible street level features explained approximately 18% of the variation in safety, lively, and beauty perceptions, compared to 3-10% explained by GIS/remote sensing. Large differences in prediction were seen when modelling between city (R2 67-81%) versus within city (R2 11-13%) perceptions. Important predictor variables included visible accessibility features (e.g. streetlights, benches) and roads for safety, visible plants and buildings for lively, and visible green space and NDVI for beauty.

CONCLUSION

Substantial within and between city differences in built environment perceptions exist, which visible street level features and GIS/remote sensing variables only partly explain. This offers a new research avenue to expand built environment measurement methods to include perceptions in addition to physical features.

Three-item loneliness scale: psychometric properties and normative data of the Spanish version

Loneliness is a common social phenomenon across countries with negative effects in health. Thus, the measurement of loneliness is of paramount importance. The Three-Item Loneliness Scale (TILS) was designed to be used in large-population surveys as a quick measure of loneliness. The aim of this study is to provide a Spanish validation of the TILS. A representative sample of the Spanish population (N = 1951) was used. We analysed the psychometric properties, factor structure, and distribution demographics characteristics of the Spanish TILS. Analyses showed differences regarding age, gender, educational level, employment status, household composition and annual gross income in line with previous literature. The confirmatory factor analysis revealed a unifactorial structure, with significant moderate correlations between the TILS and depression, anxiety, paranoia and well-being, and mild significant correlations with belongingness and mistrust. The internal consistency of the Spanish TILS was good (α = 0.82). Our study indicates that the TILS is a valid and reliable measure of loneliness in the Spanish population. Loneliness is a modern epidemic and a precursor of mental and health problems that reduced the quality of life. Therefore, it is important to have reliable measures of this phenomenon.

Does the perceived neighborhood environment promote mental health during pregnancy? Confirmation of a pathway through social cohesion in two Spanish samples

Physical neighborhood attributes such as greenness, walkability and environmental pollution may have an influence on people's behavior and health. It has been claimed that part of such effects may come from the promotion of physical activity and the strengthening of social cohesion. In this study, we recruited samples of pregnant women in two Spanish cities (Donostia-San Sebastián, 440 participants and Barcelona, 360 participants) who filled in a questionnaire and wore an accelerometer for 1 week during the first trimester of pregnancy. The influence of perceived residential greenness, walkability and environmental pollution on mental health (GHQ-12) was tested in two structural equation models that included light physical activity, moderate-to-vigorous physical activity and social cohesion as mediators. Two solutions showing excellent and good fits (Donostia-San Sebastián: X²(3) = 2.56, p = .465, CFI = 1, RMSEA < 0.001; Barcelona: X²(6) = 4.86, p = .566, CFI = 1, RMSEA = 0.048) consistently showed that neighborhood attributes promote mental health through social cohesion in the two cities. Stratified analyses revealed that the social cohesion-mental health effect was only statistically significant for low and medium socioeconomic status groups in the Donostia-San Sebastián sample. Pathways through physical activity were not confirmed.

Longitudinal associations between neighbourhood physical environments and depressive symptoms of older adults in Hong Kong: The moderating effects of terrain slope and declining functional abilities

Little is known about the accumulative impacts of neighbourhood physical environments on older adults' depressive symptoms over time. Based on a cohort study of 2081 older adults in Hong Kong, this study examined longitudinal relationships between neighbourhood physical environments and depressive symptoms among older adults, with a particular focus on the moderating effects of terrain slope and individual functional ability using latent growth curve modelling. Results indicated that the availability of community centres and passive leisure facilities reduced depressive symptoms over time. The protective effects of residential surrounding greenness on depressive symptoms among older adults differed by the terrain slope types. Longitudinal associations between neighbourhood physical environments and depressive symptoms varied between older adults with and without functional limitations. This study has implications for the Ecological Theory of Ageing by identifying the dynamic interplay of environment demands and individual functional ability. Planning policies for building age-friendly neighbourhoods are discussed.

"Our Home Is a Muddy Structure": Perceptions of Housing and Health Risks Among Older Adults in Contrasting Neighborhoods in Ghana

Aging occurs in a variety of social and physical environmental settings that affect health. However, despite their rapidly growing populations, public health research in sub-Saharan Africa has yet to address the role of residential environments in the health and well-being of older adults. In this study, we utilized an ethnographic research methodology to explore barriers and facilitators to health among older adults residing in two contrasting neighborhoods in Accra, Ghana. Our specific objective was to identify patterns of health risks among older adults in the two neighborhoods. Data were collected through qualitative interviews with a purposive sample of health workers (n = 5), community leaders (n = 2), and older adults residing in a slum and non-slum neighborhood (n = 30). Our thematic data analysis revealed that, despite different underlying drivers, health barriers across the slum and non-slum were largely similar. The harmful effects of these health barriers - poor built environments, housing precariousness, unsanitary living conditions, defective public services, and social incivilities - were mitigated by several facilitators to health, including affordable housing and social supports in the slum and better housing and appealing doors in the non-slum. Our study contributes to a more nuanced understanding of the ways in which aging and urban environments intersect to influence population health in resource poor settings. In particular, rather than the commonly referenced dichotomy of poor and non-poor settlements in discourses of neighborhood health, our findings point to convergence of health vulnerabilities that are broadly linked to urban poverty and governmental neglect of the elderly.

Typologies of Loneliness, Isolation and Living Alone Are Associated with Psychological Well-Being among Older Adults in Taipei: A Cross-Sectional Study

BACKGROUND

Loneliness, isolation, and living alone are emerging as critical issues in older people's health and well-being, but the effects are not consistent. The purpose of this study was to examine the clustering of loneliness, isolation, and living alone, the risk factors and the associations with psychological well-being.

METHODS

The data were collected from the 2019 Taipei City Senior Citizen Condition Survey by face-to-face interviews and included a community-based sample (n = 3553). Loneliness, isolation, and living arrangement were analyzed by cluster analysis to define Loneliness-Isolation-Living-Alone clusters. Multinomial logistic regression was used to examine the factors related to Loneliness-Isolation-Living-Alone clusters, and linear regression was used to examine association of clusters with psychological well-being.

RESULTS

Five clusters of older adults were identified and named as follows: Not Lonely-Connected-Others (53.4%), Not Lonely-Isolated-Others (26.6%), Not Lonely-Alone (5.0%), Lonely-Connected (8.1%), and Lonely-Isolated-Others (6.9%). Demographics, financial satisfaction, physical function, family relationship, and social participation were related to the Loneliness-Isolation-Living-Alone clusters. Compared with the Not Lonely-Connected-Others cluster, the Lonely-Connected cluster and Lonely-Isolated-Others cluster had higher depressive symptoms and lower life satisfaction, and the Not Lonely-Isolated-Others cluster reported lower life satisfaction; the Not Lonely-Alone cluster was not different.

DISCUSSION

Loneliness and isolation are negatively associated with psychological well-being, and living arrangement is not the determinant to loneliness or isolation. Older adults are suggested to strengthen their informal social support, and the government may encourage social care and create an age friendly environment to reduce loneliness and isolation.