Social Neighborhood Research Articles

A person-centered approach to understanding psychosocial stressor subgroups and cardiovascular disease: new perspectives from the Multi-Ethnic Study of Atherosclerosis (MESA) study.

This study examined the longitudinal associations of baseline psychosocial stress subgroups with cardiovascular disease (CVD) events and whether social support, neighborhood cohesion, and physical activity modified these associations in the Multi-Ethnic Study of Atherosclerosis (MESA). Data from 6,349 adults (aged: 62.2±10.2 years; 52.9% women) from the MESA study with no prior CVD in 2000-2002 were used in this analysis. Latent class analysis (LCA) was used to specify distinct psychosocial stress subgroups based on self-reported stressors stemming from respondents' neighborhood and social environment. Adjudicated CVD events (fatal and nonfatal events) were ascertained annually through the year 2019. Cox proportional hazards models were used to examine the associations between subgroup membership and CVD events. Five distinct psychosocial stress subgroups were identified via LCA and were labeled 'moderate neighborhood noise' (12.1%), 'excessive neighborhood noise' (6.4%), 'multiple high stressors' (6.3%), 'high discrimination' (21.4%), and 'optimal' (53.8%). By the year 2019, 1,121 participants had experienced a CVD event. Membership in the 'high discrimination' (HR: 1.29; 95%CI: 1.10, 1.51) subgroup was associated with higher risk of a CVD event when adjusted for sociodemographic characteristics and cardiovascular health metrics. Neither social support, neighborhood cohesion, nor physical activity modified this association (ps>0.05). Distinct subgroups of individuals with high self-reported psychological distress-particularly related to discrimination and chronic stress are associated with high incident cardiovascular events.

Association of Perceived Neighborhood Disorder with Substance Use Behaviors and Retail Access Among Southern California Adolescents.

Neighborhood disadvantage is associated with a higher concentration of tobacco, cannabis and alcohol retailers and greater risk of certain substance use behaviors among youth. Less is known about the impact of subjective neighborhood disorder, which captures distinct exposures that may be relevant to substance use outcomes, including neighborhood social processes, safety, physical characteristics, and neighborhood drug use. Data are from two waves (Feb-Dec 2022) of a prospective cohort of Southern California high school students (n = 2,139; mean[SD] age = 15.7.[0.6]). We examined associations of perceived neighborhood disorder at baseline with (a) perceived ease of purchase (continuous scale 0-100) for alcohol, cannabis, e-cigarettes, cigarettes, hookah, cigars/cigarillos, and oral nicotine at baseline and follow-up, and (b) repeated measures of past 6-month and past-30-day alcohol, vaped cannabis, smoked cannabis, cannabis edibles, e-cigarette, cigarette, cigarillo, hookah, and oral nicotine use. E-cigarettes were perceived to be the easiest product to purchase. Participants in the highest (vs. lowest) quartile of neighborhood disorder reported greater mean ease of purchasing scores for all products (mean difference range = 5.43 [95%CI: 1.64-9.21] for mint/menthol oral nicotine products to 9.40 [95%CI: 6.16-12.64] for hookah) and greater odds of e-cigarette, smoked cannabis, edibles, vaped THC, and alcohol use (odds ratio range = 1.52 [95%CI: 1.05 to 2.18] for past 6-month alcohol to 5.40 [95% CI: 3.46 to 8.42] for 30-day smoked cannabis). Interventions that shape youth perceptions of their neighborhood and reduce youth retail access in disadvantaged neighborhoods are needed and may help to prevent youth substance use.

Association between snack intake behaviors of children and neighboring women: A population-based cross-sectional analysis with spatial regionalization

BackgroundAccumulated evidence indicates that neighborhood environments affect children's health behaviors. However, measuring neighborhood environments remains challenging because there exist strengths and weaknesses both in objective and perceived environment measures. Drawing on a recent conceptual model of how environment, perception, and behavior interact, we hypothesized that neighbors' behavioral similarities indicate the combined influence of physical and social environmental opportunities on specific behaviors. We then examined how these similarities (i.e. the behavioral tendencies of children's adult neighbors) relate to children's obesogenic dietary behaviors. MethodsWe used data for 2275 women and 821 elementary schoolchildren from a 2012–2013 population-based survey in greater Tokyo, Japan. Snack intake was defined as the total consumption of various types of snacks, estimated using a validated self-administered diet history questionnaire. Spatial regionalization, a type of spatial clustering, was used to empirically identify segments that could effectively differentiate regional variation in women's snack intake behaviors. We conducted multiple regression analysis to assess the cross-sectional association between children's snack intake and the mean snack intake of neighborhood women, adjusting for mother's intake. ResultsA 1-g increase in the mean snack intake of neighborhood women was associated with a 0.23-g (95% confidence interval: 0.00–0.45) increase in children's intake, while a 1-g increase in mother's intake was associated with a 0.34-g (95% confidence interval: 0.26–0.41) increase in children's intake. DiscussionThe results suggest that the out-of-home physical and social neighborhood environments may have non-ignorable associations with children's dietary behaviors by offering behavioral opportunities in addition to maternal influence.

The Neighborhood Environment and Handgrip Strength: Longitudinal Findings From the Health and Retirement Study.

Muscle strength, as measured by handgrip strength (HGS), is associated with physical function and mortality. Yet the environmental context that influences muscle strength is poorly understood. We evaluated built and social neighborhood characteristics and their association with muscle strength over time. Using data from the Health and Retirement Study (2006-2018), linear mixed models assessed how 11 built and social neighborhood variables were associated with baseline levels and changes in HGS over time. Among the 20 045 respondents (mean age = 63 years, standard deviation = 9.7) with up to 4 HGS measures, 8455 were men and 11 590 were women. Among men, residing in a neighborhood with a 10% increment higher score on neighborhood disadvantage was associated with a ~1kg lower HGS at baseline (B = -0.96kg, 95% confidence interval [CI] = -1.39 to -0.53). Similarly, each 1-point increment on the physical disorder scale was associated with a -0.39kg lower (95% CI = -0.65 to -0.12) baseline HGS value. Among women, each 10% increment in neighborhood disadvantage was associated with a 0.29kg lower HGS at baseline (B = -0.29kg for each 10% increment, 95% CI = -0.46, -0.13). Each 1-unit increment in the number of neighborhood gyms at baseline was associated with a 0.50kg lower HGS (B = -0.50, 95% CI = -0.76 to -0.23). Each 1-point increment in physical disorder was associated with a -0.12kg lower (95% CI = -0.24 to -0.00) baseline HGS value. None of the neighborhood features were associated with the HGS rate of change. Findings suggest that residing in neighborhoods with greater disadvantages and physical disorders may pose challenges for HGS among middle-aged adults as they enter into older adulthood.

Good Friends and Good Neighbors: Social Capital and Food Insecurity in Families with Newborns

To examine the association between social capital and household food insecurity among US families with newborns. This cross-sectional analysis used enrollment data from 881 newborn-caregiver dyads at six geographically-diverse US academic sites enrolled in the Greenlight Plus Trial, a comparative effectiveness trial to prevent childhood obesity. Ordinal proportional-odds models were used to characterize the associations of two self-reported measures of social capital: 1) caregiver social support and 2) neighborhood social cohesion, with household food insecurity after controlling for sociodemographic characteristics. Among 881 newborn-caregiver dyads (49% Hispanic, 23% non-Hispanic white, 17% non-Hispanic Black; 49% with annual household income <$50,000), food security was high for 75%, marginal for 9%, low for 11% and very low for 4%. In covariate-adjusted analyses, caregivers with a low social support score of 18 had five times the odds (aOR=5.03 95%CI=3.28-7.74) of greater food insecurity compared with caregivers with a high social support score of 30. Caregivers with a low neighborhood social cohesion score of 10 had nearly three times the odds (aOR=2.87 95%CI 1.61-5.11) of greater food insecurity compared with caregivers with a high neighborhood social cohesion score of 20. These associations remained robust when both social capital measures were included in one model. Caregiver social support and neighborhood social cohesion each appear to be inversely associated with food insecurity among US families with newborns. Longitudinal research is needed to determine the directionality of these relationships and whether improving social capital for families with young children reduces household food insecurity.

Navigating trust and health in India: the influence of social status and neighbourhood environment

BackgroundThe research on the relationship between interpersonal trust and health has primarily focused on Western contexts, with scarce attention in developing contexts. Addressing this gap, the study examines the association between interpersonal trust (both generalised and particularised) and health outcomes (self-rated health /SRH, and depression) among Indian adults, considering the moderating roles of social statuses (gender and caste) and macro-level factors like district-level income inequality.MethodsThe study draws on data from the World Health Organization's (WHO) Study on global AGEing and adult health (SAGE) Wave-1, collected between 2007 and 2010. This dataset provides a comprehensive overview of health outcomes, including self-rated health (SRH) and depression, socio-cultural status of adults aged 18 and above in India. Additionally, district-level data on income inequality, quantified through the Gini index, were incorporated to examine the influence of contextual socioeconomic influence on the trust-health relationship. Multilevel regression analysis with interaction effects with social statuses and income inequality at district was employed in the analysis to investigate the intricate relationship between interpersonal trust (both generalised and particularised) and health outcomes.ResultsThe study reveals that while generalised trust does not directly influence depression or SRH, particularised trust acts as a protective factor for both health outcomes. Gender-specific interaction effect shows that generalised trust reduces depression among males and improves SRH among females. Notably, caste does not significantly moderate the trust-health relationship. High district-level income inequality, however, modifies these associations: generalised trust is associated with improved SRH in areas of high inequality, whereas particularised trust correlates with increased depression in these districts.ConclusionThe findings highlight the complex dynamics between interpersonal trust, social status, and income inequality in shaping health outcomes in India. Generalised trust emerges as a potential buffer against the health-detrimental effects of income inequality, providing crucial insights for developing targeted health interventions. These results offer valuable guidance for global health policymakers and practitioners in effectively allocating development aid to enhance health outcomes, especially among the most marginalised groups.

Loneliness, Discrimination, Stress, and Type 2 Diabetes Risk in Young Adults

IntroductionThe aim of this study was to determine the associations between type 2 diabetes (T2D) or prediabetes and loneliness and related social experiences in young adults, a population at increasingly high risk of T2D. MethodsThis was a cross-sectional analysis using data from adults ages 18-35 enrolled in the All of Us Research Program. Exposures included loneliness, social support, discrimination, neighborhood social cohesion, and stress, measured by standardized surveys. The main outcome was T2D or prediabetes by self-report or linked health record. Logistic regression determined odds of T2D/prediabetes for each survey measure, adjusting for age, sex, race or ethnicity, income, and family history. Latent class analysis (LCA) evaluated clustering of social experiences. Data was collected from 2018-2022 and analyzed May 2023-June 2024. ResultsThe cohort included 14,217 young adults (28.2 ± 4.4 years; 70.3% (n=9,792) women; 64.1% (n=9,111) White, 10.6% (n=1,506) Hispanic, 5.7% (n=806) Black, 9.1% (n=1,299) multiracial). Overall, 5.5% (n=777) had either prediabetes or T2D. The two highest loneliness quartiles were associated with increased odds of prediabetes/T2D (Q3: OR 1.42 [95% CI 1.15-1.76]; Q4: 1.75 [95% CI 1.43-2.16]). Greater stress and discrimination and lower social support and neighborhood social cohesion were also associated with increased odds of prediabetes/T2D. LCA revealed three distinct phenotypes, with elevated odds of prediabetes/T2D in the two with the most adverse social profiles (OR 2.32 [95% CI 1.89-2.84] and OR 1.28 [95% CI 1.04-1.58]). ConclusionsLoneliness and related experiences are strongly associated with T2D and prediabetes in young adults. Whether these factors could be leveraged to reduce T2D risk should be investigated.

Revisiting the conceptualization of social sustainability from a health promotion perspective: a scoping review.

Both social sustainability and health promotion emphasize the development of local communities that satisfy human needs and enhance health and well-being. This scoping review aimed to identify frameworks, components, and operationalizations of social sustainability described in peer-reviewed articles and systematize the results from a health promotion perspective. Six databases were searched for relevant articles following the JBI methodology and PRISMA guidelines. Articles were included if they provided a unique framework for social sustainability, that is, a conceptual model outlining the essential components of this concept. Information concerning the components of social sustainability and their operationalizations was analyzed through a six-step narrative synthesis. The final step involved categorizing the operationalizations of social sustainability into distinct levels by employing a socio-ecological model as an analytical tool. This review identified 22 articles presenting a social sustainability framework. The frameworks covered 11 components, of which social equity, safety, and neighborhood quality were the most frequent, while only five included health and well-being. The frameworks commonly provided practical interpretations of the concept with limited theoretical considerations. Furthermore, the identified operationalizations revealed a diverse understanding of social sustainability, encompassing all levels of the socio-ecological model applied. Health promotion research can offer theoretical and empirical insights that enhance the understanding of social sustainability, especially how societal, physical, and social determinants of health and well-being interact to create socially sustainable places. Likewise, the social sustainability literature may provide valuable knowledge underscoring the importance of contextual factors of health and well-being within the field of health promotion.

Evaluation of Health Education During Covid 19 in theCity of Masvingo

This study made an evaluation of health education during COVID 19 in the City of Masvingo.The literature of the study included the background to the study, statement of the problem, major research question, sub-questions, objectives, and significance of the study, delimitations,limitations, and definition of terms. The literature reviewed in this study was drawn based on the research sub-questions which focused on the evaluation of health education during COVID 19 in the City of Masvingo. The study discusses the research design, the population, the sample and sampling procedures which were used, the research instruments and explains data presentation and analysis procedures. The research design, the instruments and the samples adopted were justified. These include the selection of research design in which the researcher considered different views of other authorities which guided the researcher to select and use both quantitative and qualitative research. The sample population consisted of fifty (50) purposive selected participants chosen in Masvingo Urban. Data collection procedures highlighted how the researcher collected data using different instruments which included a questionnaire and interviews also the advantages and disadvantages were indicated. The presentation of data was guided by the research sub questions. Data was analysed and discussed in relation to literature. The findings of the study revealed that COVID-19 is not only an individual health issue but also engages caregivers, families, extended social networks, neighbourhoods, communities, health systems and organizations and governing/political systems. Structural changes in health promotion are requisite to sustain health during the COVID-19 and future pandemics. However, the researcher recommended that campaigns should elicit the help of religious and civil society leaders for maximum effect. In addition, governments should suspend all international travel to or from the most-affected countries, and quarantine citizens who have travelled to or through those areas for at least two weeks.

Sports following and social capital in the United States: Social networks and trust

Scholarship on sports following represents a burgeoning field of inquiry in the sociology of sport, yet sport following's connections to, or ability to facilitate, social capital remains underexplored. Drawing on a contemporary nationwide survey of the United States and employing the foundational theories of social capital by which we operationalize statistical analyses using regression modeling, this study investigates the nuanced contributions of sports following to various dimensions of social capital. Our analysis reveals complex relationships of sports following to social network size, community engagement, neighborhood trust, and social network variety, highlighting sports following as a significant predictor for all our operationalized social capital measures, although negatively so for neighborhood trust. Exploring the interplay between sports following, individual characteristics, and socio-political affiliations, results underscore the powerful predictive capacity of sports following even controlling for other characteristics, highlighting strong potentiality for building social capital, although along some dimensions more than others. These findings spotlight the domain of sports following as fertile ground for further investigation into its capacity to serve as a unique facilitator of social capital on the increasingly divided American socio-cultural landscape.

The great equalizer? Mixed effects of social infrastructure on diverse encounters in cities

Casual encounters with diverse groups of people in urban spaces have been shown to foster social capital and trust, leading to higher quality of life, civic participation, and community resilience to hazards. To promote such diverse encounters and cultivate social ties, policymakers develop social infrastructure sites, such as community centers, parks, and plazas. However, their effects on the diversity of encounters, compared to baseline sites (e.g., grocery stores), have not been fully understood. In this study, we use a large-scale, privacy-enhanced mobility dataset of >120 K anonymized mobile phone users in the Boston area to evaluate the effects of social infrastructure sites on the observed frequencies of inter-income and inter-race encounters. Contrary to our intuition that all social infrastructure sites promote diverse encounters, we find the effects to be mixed and more nuanced. Overall, parks and social businesses promote more inter-income encounters, while community spaces promote more same-income encounters, but each produces opposite effects for inter-race encounters. Parks and community spaces located in low-income neighborhoods were shown to result in higher inter-income and inter-race encounters compared to ordinary sites, respectively, however, their associations were insignificant in high-income areas. These empirical results suggest that the type of social infrastructure and neighborhood traits may alter levels of diverse encounters.

Impact of neighborhood context on self-rated health among very old adults living in Germany: a cross-sectional representative study

BackgroundIncreasingly, evidence has shown that different aspects of neighborhood context play a significant role in self-rated health, one of the key health indicators in advanced age. Nevertheless, very old adults are often under represented or excluded from such research. Therefore, the first aim of this study was to examine whether social, socioeconomic, and physical neighborhood context is associated with self-rated health in the very old population of Germany. The second objective was to explore whether the link of socioeconomic and physical neighborhood context with self-rated health is moderated by availability of social resources in neighborhoods.MethodsData from the representative survey, “Old Age in Germany” (D80+) were employed. In total, the study sample of D80+ included 10,578 individuals aged 80 years and over. Additionally, the D80+ data were matched with the freely accessible regional dataset of the Federal Institute for Research on Building, Urban Affairs, and Spatial Development. Two self-rated items (place attachment and social cohesion) were used to assess social neighborhood context. Socioeconomic context of neighborhoods was operationalized by German index of socioeconomic deprivation. To evaluate physical context, perceived measures of building conditions and walkability were included. Using the maximum likelihood estimator with robust standard errors, logistic regression models were estimated to analyze the relationship between neighborhood context (social, socioeconomic, and physical context, as well as their interactions) and self-rated health.ResultsIncluding 8,066 participants in the analysis, the findings showed that better condition of residential building, higher walkability, being closely attached to outdoor places, and higher social cohesion were associated with higher chance to report good self-rated health of very old adults. In the adjusted models, the German socioeconomic deprivation index was not related to self-rated health. The effect of socioeconomic and physical neighborhood context on self-rated health did not differ according available neighborhood social resources.ConclusionsThe results indicate that especially more favorable conditions in social and physical neighborhood context are associated with good self-rated health in the very old population of Germany. Further studies should consider multiple aspects of neighborhood context as well as their interplay when examining the neighborhood impact on self-rated health in older populations.

Associations of neighborhood social cohesion and changes in BMI-The Maastricht Study.

The role of the social environment can facilitate positive health outcomes through active community engagement, normalization of healthy behaviors, and stress buffering. We aim to examine the associations of neighborhood social cohesion with changes in BMI over time. A total of 7641 participants from The Maastricht Study between the ages of 40 and 75 years were analyzed. Weight and height were measured at baseline, and weight was self-reported annually up to 10 years of follow-up (median = 4.7 years). Perceived social cohesion was obtained by questionnaire. Home addresses for each participant were linked to geographic information system data from the Geoscience and Health Cohort Consortium to create neighborhood exposure variables including area level social cohesion, neighborhood walkability, and food environment within a 1000 m Euclidian buffer. Linear regression analyses were performed with BMI adjusted for socioeconomic variables. A mixed model analysis was carried out to examine changes in BMI. Living in the highest quartile area of individually perceived social cohesion was associated with lower BMI (Q4 B: -.53; 95% CI = -.79, -.28) compared to the lowest quartile. Similar findings were discovered using the area level measure (Q4 B: -.97; 95% CI = -1.29, -.65). There was no longitudinal association between social cohesion and BMI. Neighborhood social cohesion was associated with lower BMI classifying it as an obesogenic area characteristic that influences weight, independent of conventional built environment features.

Examining the role of social vulnerability, neighborhood characteristics, and geospatial patterns of firearm-related injuries and clinical outcomes in Milwaukee county

BackgroundPrevious work has shown socioenvironmental factors can influence firearm injury. Milwaukee County, Wisconsin is a diverse midwestern county with historic disinvestment in marginalized communities yielding stark segregation along racial and ethnic lines. It is also one of the many U.S. counties burdened by surging firearm injuries. The differences among communities within Milwaukee County provides a unique opportunity to explore the intersection of socioenvironmental factors that may affect clinical outcomes and geospatial patterns of firearm injury. MethodsThe trauma registry from the regional adult level 1 trauma center was queried for patients who sustained a firearm-related injury from 2015 to 2022 (N = 2402). The Social Vulnerability Index (SVI) ranking was derived using patient residence addresses to evaluate its association with traumatic injury clinical outcomes (i.e., in-hospital mortality, length of hospital stay, ICU or ventilator treatment, or injury severity score) and risk screening results for alcohol use disorder (AUD), posttraumatic stress disorder (PTSD), and depression. We evaluated hotspots of firearm injury density over time for patient residences and injury locations and distances between locations. A spatially lagged regression model tested the association between firearm injury density and SVI domains, alcohol outlet types, and park coverage. ResultsMost firearm injury patients were younger, male, racial or ethnic minorities from disadvantaged neighborhoods (SVI total; M = 0.86, SD = 0.15). SVI was not associated with any clinical outcomes. Of those screened, 12.9% screened positive for AUD and 44.5% screened at risk for PTSD, depression, or both. Hotspot analysis indicated consistent concentrations of firearm injury density. There were no differences in clinical outcomes between those injured inside or outside the home. Census tracts with lower socioeconomic status, greater off-premises and lower on-premises alcohol outlet density were associated with greater firearm injury density. ConclusionsIn Milwaukee County, firearm injury patients are injured in and often return to the same disadvantaged neighborhoods that may hamper recovery. Results replicate and expand previous work and implicate specific socioenvironmental factors for intervention and prevention of firearm injury.

Association between trajectories of the neighborhood social exposome and mental health in late adolescence: A FinnTwin12 cohort study

BackgroundAdolescent mental health problems impose a significant burden. Exploring evolving social environments could enhance comprehension of their impact on mental health. We aimed to depict the trajectories of the neighborhood social exposome from middle to late adolescence and assess the intricate relationship between them and late adolescent mental health. MethodsParticipants (n = 3965) from the FinnTwin12 cohort with completed questionnaires at age 17 were used. Nine mental health measures were assessed. The social exposome comprised 28 neighborhood social indicators. Trajectories of these indicators from ages 12 to 17 were summarized via latent growth curve modeling into growth factors, including baseline intercept. Mixture effects of all growth factors were assessed through quantile-based g-computation. Repeated generalized linear regressions identified significant growth factors. Sex stratification was performed. ResultsThe linear-quadratic model was the most optimal trajectory model. No mixture effect was detected. Regression models showed some growth factors saliently linked to the p-factor, internalizing problems, anxiety, hyperactivity, and aggression. The majority of them were baseline intercepts. Quadratic growth factors about mother tongues correlated with anxiety among sex-combined participants and males. The linear growth factor in the proportion of households of couples without children was associated with internalizing problems in females. LimitationsWe were limited to including only neighborhood-level social exposures, and the multilevel contextual exposome situation interfered with our assessment. ConclusionsTrajectories of the social neighborhood exposome modestly influenced late adolescent mental health. Tackling root causes of social inequalities through targeted programs for living conditions could improve adolescent mental health.

Socioeconomic status, alcohol use and the role of social support and neighbourhood environment among individuals meeting criteria for a mental health problem: a cross-sectional study

PurposeIndicators of socioeconomic status (SES), such as education and occupational grade, are known to be associated with alcohol use but this has not been examined among individuals with a mental health problem. This study developed latent classes of SES, their associations with alcohol use, and examined the indirect effect via social support and neighbourhood environment.MethodsA secondary analysis of the 2014 Adult Psychiatric Morbidity Survey was conducted among participants with a mental health problem (N = 1,436). SES classes were determined using a range of indicators. Alcohol use was measured using the Alcohol Use Disorder Identification Test. Social support and neighbourhood neighbourhood environment were measured using validated questionnaires. A latent class analysis was conducted to develop SES classes. Multinomial logistic regression examined associations of SES and alcohol use. Structural equation models tested indirect effects via social support and neighbourhood environment.ResultsA four-class model of SES was best-fitting; “economically inactive,GCSE-level and lower educated,social renters”, “intermediate/routine occupation,GCSE-level educated,mixed owner/renters”, “retired, no formal education,homeowners”, and “professional occupation,degree-level educated,homeowners”. Compared to “professional occupation,degree-level educated, homeowners”, SES classes were more likely to be non-drinkers; odds were highest for “economically inactive,GCSE-level and lower educated,social renters” (OR = 4.96,95%CI 3.10–7.93). “Retired, no formal education,homeowners” were less likely to be hazardous drinkers (OR = 0.35,95%CI 0.20–0.59). Associations between “economically inactive,GCSE-level and lower educated,social renters” and “retired, no formal education,homeowners” and non- and harmful drinking via social support and neighbourhood environment were significant.ConclusionsIn contrast to the alcohol harms paradox, among individuals with a mental health problem, lower SES groups were more likely to be non-drinkers while no associations with harmful drinking were found. There is also a need to examine the alcohol harms paradox in the context of the area in which they live.

‘We are waiting for the end’: ageing and (im)mobility in the tourist city

Many tourist cities rely on walking as form of slow travel to take in the destination. Venice, the case study for this paper, is a distinct ‘walking city’, scripted into its cultural landscape along with its visitor crowds. As in other historical cities, however, crowding compromises residents’ walking mobility. This particularly affects groups that rely on proximate mobility such as older residents. This paper delves into the effects of tourism on everyday mobilities and realities of coping with change in the tourist city. It thus uncovers repercussions on ‘those remaining’ and highlights how the privilege of slowness may become a condition of disadvantage. It engages with long-term biographies, walking experiences, and the ageing process itself during an empirical study consisting of walking interviews. The findings show how tourist mobilities collide with access to spaces of social activity, essential services, and neighbourhood life. More importantly, they bring to surface how residents negotiate these hindrances and seek opportunities for mobility and wellbeing, despite older age-related challenges arising from the exclusive uptake of slow mobilities. Eventually, this paper forms a critique that discloses the collateral nature of tourism impacts on ageing in place, stuck between global mobility flows and local tourism management choices.

Unleashing the power of social media: examining farmers’ adoption for agriculture knowledge exchange

Purpose This study uses a comprehensive theoretical framework that combines social cognitive theory and neighborhood effect to investigate the influence of neighborhood effects on farmers’ outcome expectations, observational learning and self-efficacy. This study aims is to analyze the mechanisms that underlie the adoption of social media by farmers for knowledge exchange in the agricultural context. Specifically, this research explores the role of neighborhood effects, outcome expectations, observational learning and self-efficacy in shaping farmers’ decision-making process regarding the use of social media platforms for exchanging agricultural knowledge. Design/methodology/approach The study data was collected through a sample survey conducted among 570 agricultural households residing in the provinces of Thai Nguyen, Cao Bang, Bac Kan and Phu Tho, located in the northern region of Vietnam. To analyze the data, structural equation modeling was used as the statistical technique of choice. Findings The findings of the study indicate a significant influence of neighborhood effects on outcome expectations, observational learning and self-efficacy. These factors, derived from social cognitive theory, also exhibit a positive association with farmers’ adoption of social media for knowledge exchange. Additionally, the study highlights that neighborhood contribute to a favorable adoption of social media among farmers via outcome expectations, observational learning, and self-efficacy. Research limitations/implications The study is limited in examining farmers’ social media adoption for agriculture knowledge exchange in Northern mountainous area of Vietnam. This study could be replicated across various regions or nations, providing comparative insights into the adoption of social media among farmers for knowledge exchange. Practical implications The study findings suggest practical and innovative means to promote farmers’ social media adoption for agriculture knowledge exchange. Originality/value This study presents a pioneering approach by integrating social cognitive theory and neighborhood effect to elucidate the factors influencing farmers’ adoption of social media for the purpose of agriculture knowledge exchange.

Childhood neighbourhoods and life‐time fertility in twentieth‐century Southern Sweden: A k‐nearest neighbour approach

AbstractDespite a large literature on the importance of childhood neighbourhoods for life course transitions, there is a lack of fertility studies combining a life‐course perspective with detailed neighbourhood measures. Addressing this gap, we use longitudinal data in which the entire population of a Swedish town is geocoded at the address‐level, 1939–1967, and linked to national registers from 1968 to 2015. We study how social neighbourhoods in childhood influence fertility outcomes by constructing individual neighbourhoods at the address level to measure the social class of nearby childhood neighbours. We analyse the age at first and last birth, children ever born, birth spacing and childlessness. Growing up in higher‐status neighbourhoods is associated with delayed fertility for both men and women, but no association is found for the number of children ever born or for childlessness. Associations are stable over time, and later ages of neighbourhood exposure matter more, especially for men. Contrary to prior literature's focus on the lower classes, our results are driven by higher‐status individuals growing up in distinctly white‐collar neighbourhoods.

Healthy Outcomes through Peer Educators: Feasibility of a peer support diabetes prevention programme for African-American grandmother caregivers.

To assess the protocol feasibility and intervention acceptability of a community-based, peer support diabetes prevention programme (DPP) for African-American (AA) grandmother caregivers at risk for diabetes. Grandmother caregivers were randomized in a 2:1 ratio to DPP (active comparator) or DPP plus HOPE (Healthy Outcomes through Peer Educators; intervention). DPP + HOPE incorporated support from a peer educator who met with participants in person or by telephone every week during the 1-year intervention. Outcomes included: (1) recruitment rates, outcome assessment, and participation adherence rates assessed quantitatively; and (2) acceptability of the programme assessed through end-of-programme focus groups. We successfully consented and enrolled 78% (n = 35) of the 45 AA grandmothers screened for eligibility. Eighty percent of participants (aged 64.4 ± 5.7 years) were retained up to Week 48 (74% for DPP [n = 17] and 92% for DPP + HOPE [n = 11]). All grandmothers identified social support, neighbourhood safety, and access to grocery stores as influences on their health behaviours. At Month 12, the active comparator (DPP) group and the intervention group (DPP + HOPE) had a mean change in body weight from baseline of -3.5 ± 5.5 (-0.68, -6.29) kg and - 4.4 ± 5.7 (-0.59, -8.2) kg, respectively. This viable study met the aim of educating and equipping AA grandmothers with the practical and sustained support needed to work toward better health for themselves and their grandchildren, who may be at risk for diabetes. The intervention was both feasible and acceptable to participating grandmothers and their organizations.