The challenges of measuring social cohesion in public health research: A systematic review and ecometric meta-analysis

Measuring social environment factors of inpatients and outpatients with depression in Germany: a cross-sectional study

BACKGROUND

Social environment characteristics, including social relationships and cultural milieus, may influence the occurrence, course and management of depression. Effective questionnaires are needed to measure these factors and improve disease management.

OBJECTIVE

We aimed to (1) evaluate the social environment, such as social isolation, social disability and social cohesion of depressed inpatients and outpatients, and (2) discuss the suitability of standardised questionnaires measuring it.

METHODS

This cross-sectional study included adult patients with unipolar depression from a psychiatric hospital and general practitioner (GP) practices in Bavaria, Germany. Social isolation, disability and cohesion were measured using the Lubben Social Network Scale (LSNS), the WHO Disability Assessment Schedule (WHODAS) and the Social Cohesion and Trust Scale (SCTS), respectively. The suitability of these questionnaires was assessed with a context-specific quality appraisal.

FINDINGS

Among 282 included patients (mean age 38.8 years, SD=13.3), 69.5% were inpatients and 30.5% were outpatients. Social isolation prevalence was 52.5%. Social disability was higher in our cohort than in the general population (p<0.001). LSNS and WHODAS showed no differences between inpatients and outpatients, and suggest good clinical suitability. The SCTS showed shortcomings in applicability and comparability.

CONCLUSION

People with depression, whether treated in psychiatric hospitals or in GP practices, reported more social isolation and social disability than the general population.

CLINICAL IMPLICATIONS

Researchers and clinicians should monitor social aspects as potential intervention targets to support patient management. Social environment questionnaires should be selected carefully, ideally guided by guidelines or medical associations, to enhance the understanding, comparability and implementation.

Integrating Ethics in Public Health Guideline Development: Case Study of Guidelines on Respiratory Isolation for Persons With Tuberculosis in Community Settings

Public health interventions often involve explicit trade-offs in which the health of the many must be weighed against burdens imposed on individuals. We describe development of public health guidelines for respiratory isolation in community settings for persons with tuberculosis. While stopping the spread of disease is a core moral imperative in public health, the duty to prevent disease transmission does not supersede all other considerations. Community well-being must be balanced with individual well-being, liberty, and social justice. In response to these challenges, the National Tuberculosis Coalition of America's 2024 guidelines for persons with tuberculosis in community settings were developed using a modified GRADE approach supported by a complementary, comprehensive, and context-specific ethical framework. By addressing the distinct roles that evidence (subject to uncertainty), values, justificatory conditions, and procedural legitimacy all play in ethical guideline development, we promote rigor and transparency in the integration of ethics in public health guidelines.

Changes in perceived neighborhood social cohesion and self-assessed health: 17-year follow-up of the Dutch GLOBE study

Prior research has indicated that residents who perceive their neighborhood as more cohesive have better mental and physical health than those with lower perceived neighborhood social cohesion. However, because most studies are based on cross-sectional data, it remains unclear whether improving the perceptions of social cohesion leads to better health over time. This study applied random effects within-between models to examine the within-individual and between-individual associations of perceived neighborhood social cohesion and poor self-assessed health (SAH) in a cohort of Dutch adults with 17-year follow-up. We also tested whether such associations varied by age, educational level, and gender. The results of pooled analyses indicated that higher perceived neighborhood social cohesion was associated with better SAH [odds ratio (OR): 0.72; 95% confidence interval (CI): 0.65, 0.80], but did not find conclusive evidence that within-individual changes in perceived neighborhood social cohesion were associated with SAH (OR: 0.96; 95% CI: 0.89, 1.04). We also did not observe any moderating effects for age, educational level, or gender. This study provides some evidence that improving social cohesion in neighborhoods may be a beneficial health promotion strategy.

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.

Associations between dimensions of the social environment and cardiometabolic health outcomes: a systematic review and meta-analysis

OBJECTIVES

The social environment (SE), that is, the social relationships and social context in which groups of people live and interact, is an understudied element of the broader living environment which impacts health. We aim to summarise the available evidence on the associations between SE and cardiometabolic disease (CMD) outcomes.

DESIGN

Systematic review and meta-analysis.

DATA SOURCES

PubMed, Scopus and Web of Science Core Collection were searched from inception to 28 February 2024.

ELIGIBILITY CRITERIA

We included studies for which determinants were SE factors such as area-level deprivation and social network characteristics and outcomes were type 2 diabetes mellitus and cardiovascular diseases incidence and prevalence.

DATA EXTRACTION AND SYNTHESIS

Titles and abstracts and full text were screened in duplicate. Data appraisal and extraction were based on the study protocol published in PROSPERO. Methodological quality was assessed with the Newcastle-Ottawa Scale. We synthesised the data through vote counting and meta-analyses.

RESULTS

From 10 143 records screened, 281 studies reporting 1108 relevant associations are included in this review. Of the 384 associations included in vote counting, 271 (71%) suggested that a worse SE is associated with a higher risk of CMD. 14 meta-analyses based on 180 associations indicated that worse SE was associated with increased odds of CMD outcomes, with 4 of them being statistically significant. For example, more economic and social disadvantage was associated with higher heart failure risk (OR 1.58, 95% CI 1.08 to 1.61; n=18; I2=95%). With the exception of two meta-analyses for men, meta-analysed sex-specific associations consistently showed results in the same direction as the overall meta-analyses.

CONCLUSION

Worse SE seems to be associated with increased odds of CMD outcomes, although certain SE dimensions are underexplored in relation to CMD.

PROSPERO REGISTRATION NUMBER

CRD42021223035.

The Dynamic Relationship between Social Cohesion and Urban Green Space in Diverse Communities: Opportunities and Challenges to Public Health

Social cohesion is a key factor within social determinants of health and well-being. Urban green spaces can provide environments that potentially facilitate meaningful and positive social interactions that promote social cohesion, equity, human health, and well-being. However, the lack of integration of existing research on social cohesion, urban green spaces, and public health in diverse (e.g., racially and ethnically) communities limits culturally relevant strategies to address health disparities. In this manuscript, we synthesize research on the potential of urban green spaces to promote social cohesion and public health in historically excluded communities. Particularly, we explore the development of social cohesion as it relates to the social environment, built environment, leisure opportunities, green space maintenance, safety, and green gentrification. We highlight key factors and their application to meet opportunities and challenges to social and public health. A conceptual framework is presented to provide an overview and illustrate connections found in the literature.

Perceived Neighbourhood Disorder, Alcohol Consumption and Alcohol-Related Problems in Chile

Background: Alcohol misuse is one of the most important preventable public health risk factors. Empirical research shows that alcohol misuse is related to social and economic losses. Both theoretical and empirical evidence suggests that neighborhood disorder impacts alcohol-related behavior. However, there is limited literature in the context of developing countries. Objectives: The aim of this research is to estimate the association between perceived neighborhood disorder and (1) alcohol-related behavior and (2) alcohol-related problems in the context of the Chilean population. Our contribution focuses on the examination of the perception of disorder in urban neighborhoods and alcohol use patterns in a wide age range and sample of Chilean cities. Results: High levels of neighbor disorder perception are associated with higher levels of drinking and hazardous alcohol use. In addition, perceived neighborhood disorder is directly associated with probability of alcohol-related problems (ranging from 2% to 11%). Conclusions/Importance: The results are consistent with empirical and theoretical frameworks. This research could be used to better guide place-based policies in emerging countries with high levels of alcohol consumption to prevent alcohol risk behaviors and alcohol-related problems.

Associations between dimensions of the social environment and cardiometabolic risk factors: Systematic review and meta-analysis

Aim

The social environment (SE), including social contacts, norms and support, is an understudied element of the living environment which impacts health. We aim to comprehensively summarize the evidence on the association between the SE and risk factors of cardiometabolic disease (CMD).

Methods

We performed a systematic review and meta-analysis based on studies published in PubMed, Scopus and Web of Science Core Collection from inception to 16 February 2021. Studies that used a risk factor of CMD, e.g., HbA1c or blood pressure, as outcome and social environmental factors such as area-level deprivation or social network size as independent variables were included. Titles and abstracts were screened in duplicate. Study quality was assessed using the Newcastle-Ottawa Scale. Data appraisal and extraction were based on the study protocol published in PROSPERO. Data were synthesized through vote counting and meta-analyses.

Results

From the 7521 records screened, 168 studies reported 1050 associations were included in this review. Four meta-analyses based on 24 associations suggested that an unfavorable social environment was associated with increased risk of cardiometabolic risk factors, with three of them being statistically significant. For example, individuals that experienced more economic and social disadvantage had a higher "CVD risk scores" (OR = 1.54, 95%CI: 1.35 to 1.84). Of the 458 associations included in the vote counting, 323 (71%) pointed towards unfavorable social environments being associated with higher CMD risk.

Conclusion

Higher economic and social disadvantage seem to contribute to unfavorable CMD risk factor profiles, while evidence for other dimensions of the social environment is limited.

Eviction as a community health exposure

Evidence suggests that being evicted harms health. Largely ignored in the existing literature is the possibility that evictions exert community-level health effects, affecting evicted individuals' social networks and shaping broader community conditions. In this narrative review, we summarize evidence and lay out a theoretical model for eviction as a community health exposure, mediated through four paths: 1) shifting ecologies of infectious disease and health behaviors, 2) disruption of neighborhood social cohesion, 3) strain on social networks, and 4) increasing salience of eviction risk. We describe methods for parsing eviction's individual and contextual effects and discuss implications for causal inference. We conclude by addressing eviction's potentially multilevel consequences for policy advocacy and cost-benefit analyses.

Unequally Unequal? Contextual-level status inequality and social cohesion moderating the association between individual-level socioeconomic position and systemic chronic inflammation

BACKGROUND

Status inequality is hypothesised to increase socioeconomic inequalities in health by creating an environment in which social cohesion erodes and social comparisons intensify. Such an environment may cause systemic chronic inflammation. Although these are often-used explanations in social epidemiology, empirical tests remain rare.

METHODS

We analysed data from the West of Scotland Twenty-07 Study. Our sample consisted of 1977 participants in 499 small residential areas. Systemic chronic inflammation was measured by high-sensitivity C-reactive protein (hs-CRP; <10 mg/L). An area-level measurement of status inequality was created using census data and contextual-level social cohesion was measured applying ecometrics. We estimated linear multilevel models with cross-level interactions between socioeconomic position (SEP), status inequality, and social cohesion adjusted for age and gender. Our main analysis on postcode sector-level was re-estimated on three smaller spatial levels.

RESULTS

The difference in hs-CRP between disadvantaged and advantaged SEPs (0.806 mg/L; p = 0.063; [95%CI: -0.044; 1.656]) was highest among participants living in areas where most residents were in advantaged SEPs. In these status distributions, high social cohesion was associated with a shallower socioeconomic gradient in hs-CRP and low social cohesion was associated with a steeper gradient. In areas with an equal mix of SEPs or most residents in disadvantaged SEPs, the estimated difference in hs-CRP between disadvantaged and advantaged SEPs was -0.039 mg/L (p = 0.898; [95%CI: 0.644; 0.566]) and -0.257 mg/L (p = 0.568; [95%CI: 1.139; 0.625]) respectively. In these status distributions, the gradient in hs-CRP appeared steeper when social cohesion was high and potentially reversed when social cohesion was low. Results were broadly consistent when using area-levels smaller than postcode sectors.

CONCLUSIONS

Inequalities in hs-CRP were greatest among participants living in areas wherein a majority of residents were in advantaged SEPs and social cohesion was low. In other combinations of these contextual characteristics, inequalities in systemic chronic inflammation were not detectable or potentially even reversed.

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.

Role of neighbourhood social characteristics in children's use of mental health services between ages 9 and 13 years: a population-based cohort study in the Netherlands

OBJECTIVES

This study aims to investigate the association of neighbourhood socioeconomic status (SES) and social cohesion (SC) within the neighbourhood with mental health service use in children, independent of individual-level characteristics and mental health problems.

DESIGN, SETTING AND PARTICIPANTS

A longitudinal analysis was done using data from the Generation R Study, a prospective, population-based cohort of children born in Rotterdam, the Netherlands. These data were linked to the Neighbourhood Profile, containing registry and survey data on residents of Rotterdam. Data of 3403 children (mean age: 13.6 years, SD: 0.4) were used to study the associations between neighbourhood SES, SC (SC belonging and SC relations) and mental health service use, adjusted for mental health problems and sociodemographic characteristics.

OUTCOME MEASURES

Mental health service use was reported by the accompanying parent at the research centre using the question: 'Did your child visit a psychologist or psychiatrist between 9 and 13 years old?'.

RESULTS

Mental health services were used by 524 (15.4%) children between ages 9 and 13 years. No significant differences in mental health service use between neighbourhoods were identified (median OR: 1.07 (p=0.50)). The neighbourhood social characteristics were associated with mental health service use, but only when adjusted for each other. Children living in neighbourhoods with a low SES (OR 0.57 (95% CI 0.32 to 1.00)) or high SC belonging (OR 0.79 (95% CI 0.64 to 0.96)) were less likely to use services compared with children in a high SES or low SC belonging neighbourhood. SC relations was not associated with mental health service use.

CONCLUSIONS

Our findings indicate that children living in high SES neighbourhoods or in neighbourhoods where people feel less sense of belonging are more likely to use mental health services. As these associations were only present when studied jointly, more research is warranted on the complex associations of neighbourhood factors with children's mental health service use.