Neighbourhood social capital: measurement issues and associations with health outcomes

Neighborhood Characteristics Related to Changes in Anthropometrics During a Lifestyle Intervention for Persons with Obesity

BACKGROUND

Since obesity has emerged as a major public health concern, there is an urgent need to better understand factors related to weight gain and treatment success.

METHODS

This study included 118 persons with obesity who participated in a multidisciplinary combined lifestyle intervention with cognitive-behavioral therapy at the outpatient clinic of the Obesity Center CGG at Erasmus University Medical Center, Rotterdam, The Netherlands. Neighborhood characteristics were assessed using a 13-item questionnaire. Multiple regression analyses were performed to examine the association between perceived safety, social cohesion, and the availability of facilities on relative changes in body mass index and waist circumference changes, adjusted for corresponding neighborhood socioeconomic status scores.

RESULTS

Higher total scores, indicating more unfavorable neighborhood perceptions, were associated with less relative improvements in BMI and waist circumference after 1.5 years (β = 3.2, 95%CI 0.3-6.0; β = 3.4, 95%CI 0.3-6.6, respectively). Also, more neighborhood unsafety was associated with less relative improvements in BMI and waist circumference on the long term (β = 3.1, 95%CI 1.1-5.1; β = 2.8, 95%CI 0.6-5.1, respectively).

CONCLUSION

The results indicate that living in a neighborhood perceived as less favorable may lower the chances of successful weight loss in response to combined lifestyle interventions in persons with obesity.

Determinants of food insecurity among adults residing in peri-urban municipal settings in Flanders, Belgium

Food insecurity is a global public health issue associated with noncommunicable diseases. Individual factors are strongly associated with food insecurity, but there is limited literature on the broader impact of both the social and food environments on food insecurity in non-English speaking European countries, given that the research was predominantly conducted in Anglophone settings. In addition, these studies have mostly been conducted in urban areas. Therefore, this study aimed to identify the main determinants of food insecurity among adults living in peri-urban areas in Flanders, Belgium. Data on socio-demographics, neighborhood social cohesion, social isolation, and perceived food environments were collected from 567 adults through a self-administered questionnaire, and objective data on the food environment were obtained through (commercial) databases on food outlets. Food insecurity was measured using the USDA Household Food Security Survey Module. Multivariable logistic regression models revealed that lower socioeconomic status (OR14.11,95%CI:4.72;61.11), reasonable (OR4.16,95%CI: 2.11;8.47) to poor and very poor (OR6.54,95%CI: 2.11;8.47) subjective health status, and living in private (OR7.01, 95% CI:3.0;17.0) or government-assisted (OR6.32,95%CI: 3.13;13.26) rental housing significantly increased the odds of food insecurity. Additionally, residing in a neighborhood with low (OR2.64, 95% CI:1.13;6.26) to medium (OR2.45,95% CI:1.21;5.11) social cohesion, having a neutral opinion (OR4.12,95%CI:1.51;11.54) about the availability of fruit and vegetables in one's neighborhood, and having an opinion that fruit and vegetable prices are too expensive (OR5.43,95% CI 2.26;14.4) significantly increased the odds of experiencing food insecurity. This study underscores the need for policies that consider factors related to social and food environments, in addition to individual factors, to effectively address food insecurity.

Using Ecometric Data to Explore Sources of Cross-Site Impact Variance in Multi-Site Trials

In 2003, Bloom, Hill, and Riccio (BHR) published an influential paper introducing novel methods for explaining the variation in local impacts observed in multi-site randomized control trials of socio-economic interventions in terms of site-level mediators. This paper seeks to improve upon this previous work by using student-level data to measure site-level mediators and confounders. Development of asymptotic behavior backed up with simulations and an empirical example. Students and training providers. Two simulations and an empirical application to data from an evaluation of the Health Professions Opportunity Grants (HPOG) Program. This empirical analysis involved roughly 6600 participants across 37 local sites. We examine bias and mean square error of estimates of mediation coefficients as well as the true coverage of nominal 95-percent confidence intervals on the mediation coefficients. Simulations suggest that the new methods generally improve the quality of inferences even when there is no confounding. Applying this methodology to the HPOG study shows that program-average FTE months of study by month six was a significant mediator of both career progress and long-term degree/credential receipt. Evaluators can robustify their BHR-style analyses by the use of the methods proposed here.

Neighborhood Social Environment and Body Mass Index: The Mediating Role of Mental Wellbeing

The association between neighborhood-built environment and body mass index (BMI) is well-characterized, whereas fewer studies have explored the mechanisms underlying the relationship between neighborhood social environment and obesogenic behaviors. Using data from a random sample of 16,820 residents ≥18 years from all 169 Connecticut towns and seven ZIP Codes in New York, this study examines the influence of neighborhood social environment on residents' mental wellbeing, physical activity, and BMI. Structural equation modeling was conducted to estimate direct and indirect effects of neighborhood social environment on BMI, using mental wellbeing and physical activity as intermediate variables. There were significant total [β(SE) = 0.741 (0.170), p < 0.0001], direct [β(SE) = 0.456 (0.1890), p = 0.016], and indirect [β(SE) = 0.285 (0.061), p < 0.0001] effects of neighborhood social environment on BMI. Low physical activity was a partial mediator of the effect of non-favorable neighborhood social environment on BMI [β(SE) = -0.071 (0.011), p < 0.0001]. The association between neighborhood social environment and BMI was also mediated by mental wellbeing [β(SE) = 0.214 (0.060), p < 0.0001], and by mental wellbeing through physical activity [β(SE) = 0.071 (0.011), p < 0.0001]. Study findings provide further support for building strong social environments to improve population health and suggest that strategies prioritizing mental wellbeing may benefit behavioral interventions aimed at reducing obesity risk and should be a focus of prevention efforts in and of itself.

Adolescent relational behaviour and the obesity pandemic: A descriptive study applying social network analysis and machine learning techniques

AIM

To study the existence of subgroups by exploring the similarities between the attributes of the nodes of the groups, in relation to diet and gender and, to analyse the connectivity between groups based on aspects of similarities between them through SNA and artificial intelligence techniques.

METHODS

235 students from 5 different educational centres participate in this study between March and December 2015. Data analysis carried out is divided into two blocks: social network analysis and unsupervised machine learning techniques. As for the social network analysis, the Girvan-Newman technique was applied to find the best number of cohesive groups within each of the friendship networks of the different classes analysed.

RESULTS

After applying Girvan-Newman in the three classes, the best division into clusters was respectively 2 for classroom A, 7 for classroom B and 6 for classroom C. There are significant differences between the groups and the gender and diet variables. After applying K-means using population diet as an input variable, a K-means clustering of 2 clusters for class A, 3 clusters for class B and 3 clusters for class C is obtained.

CONCLUSION

Adolescents form subgroups within their classrooms. Subgroup cohesion is defined by the fact that nodes share similarities in aspects that influence obesity, they share attributes related to food quality and gender. The concept of homophily, related to SNA, justifies our results. Artificial intelligence techniques together with the application of the Girvan-Newman provide robustness to the structural analysis of similarities and cohesion between subgroups.

The power of women's and men's Social Networks to catalyse normative and behavioural change: evaluation of an intervention addressing Unmet need for Family Planning in Benin

Background

In Benin, despite good knowledge and availability, modern contraceptive prevalence remains relatively low, and the unmet need for family planning is relatively high. This is partly due to insufficient attention to socio-normative barriers that influence need and method use. Applying social network theory, Tékponon Jikuagou (TJ) aims to reduce socio-normative barriers preventing modern contraceptive use in rural Benin. After community identification, TJ trains influential network actors who encourage critical dialogue about unmet need, family planning, gender, and other social norms within their networks, complemented by radio and services linkages. This paper evaluates TJ's effectiveness and how intervention components affect intermediate and primary FP outcomes.

Methods

We report findings from pre/post-intervention cross-sectional research with a comparison group conducted at baseline with 1,043 women and 1,030 men, and 14 months later at endline with 1,046 women and 1,045 men. Using sex-stratified models, we assessed balance across intervention and comparison groups on background characteristics using Pearson's chi-square tests of independence; performed bivariate tests of independence to assess differences between baseline to endline on intermediate outcomes and primary FP outcomes; used logistic regression to examine the effect of intervention components on intermediate and primary FP outcomes.

Results

Statistically significant improvements in primary outcomes: women's intentions to use modern contraception, achieve met need, and reduce perceived met need. The fourth primary outcome, actual use, showed substantial gains, although not statistically significant. Men's achievement of met FP need and reduced perceived met need were also statistically significant. Assessing intermediate outcomes at individual, couple, normative-network levels, TJ led to statistically significant increases in couple and network communication on fertility desires and family planning use and self-efficacy and confidence to access services. Both women and men showed significant shifts in the acceptability of discussing FP in public. Results for other indicators of norms change were inconsistent.

Conclusions

An easy-to-implement, short-duration, gender-equitable social network intervention with a limited set of network actors, TJ effectively decreases social and normative barriers preventing women and men from seeking and using FP services. Results support the broader use of innovative social and behaviour change strategies that diffuse family planning ideas through social networks, diminish normative and communication barriers, and catalyse modern family planning use.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-022-12681-4.

In many places with relatively low family planning use, insufficient program attention is paid to socio-normative barriers that influence need and method use. TJ catalyses women and men's social networks to spread new ideas and break communication and other social barriers that prevent women and men with unmet needs – people who wish to space their next birth but are not using effective family planning methods - from acting on their desires. A rigorous evaluation of the approach in rural Benin showed after only 14 months, TJ led to statistically significant improvements in intention to use contraception and met need. While showing substantial gains, women's use of contraception was not statistically significant.

TJ increased women's and men's partner and network communication on fertility desires and family planning use and individual self-efficacy and confidence to act on intentions to address unmet need. The network influence on family planning use was equally significant. TJ led to new ideas within communities/social networks, including the perception that one's social networks approve of FP. Women and men who report that their network approves of FP were significantly more likely to discuss method use with their partners and seek services. TJ led to new perceptions that one's networks support FP.

TJ represents an underused strategy for social and behaviour change. The social network approach encourages addressing the often-neglected social factors that stop women and men from acting on their desires to space births and use modern family planning methods.

Social Capital as a Mediator and Moderator in the Association between Loneliness and Health, Israel as a Case Study

Loneliness has been associated with poor health. Social capital (SC) could possibly prevent the ill effects of loneliness. The study aims to assess the association of loneliness with physical and mental health in four different communities in Israel and study the impact of structural and cognitive SC on that association. A cross-sectional face-to-face survey with 4620 adults in four towns was conducted. The questionnaire included self-rated health (SRH), mental health (MH), loneliness, cognitive and structural SC and socioeconomic characteristics. Logistic regression analysis and mediation and moderation effects were calculated. Loneliness was associated with worse SRH (OR = 0.4–0.5) and worse MH (OR = 2.0–10). Both SC variables were associated with health. However, towns differ in these associations. Structural SC serves as a significant mediator between loneliness and SRH in all towns and is a mediator between loneliness and MH in two towns. Cognitive social capital was a moderator between loneliness and MH in two towns. This study suggests that increasing SC could possibly compensate for loneliness and buffer its effect on health. The study reinforces the need for the performance of separate health profiles to assess possible interventions for each community, as not always can we generalize these results to all communities.

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

The relationship between social cohesion and health has been studied for decades. Yet, due to the contextual nature of this concept, measuring social cohesion remains challenging. Using a meta-analytical framework, this review's goal was to study the ecometric measurement properties of social cohesion in order to describe dissimilarities in its measurement as well as bring a new perspective on the empirical usefulness of the concept itself. To this end, we analysed if, and to what extent, contextual-level reliability and intersubjective agreement of 78 social cohesion measurements varied under different measurement conditions like measurement instrument, spatial unit, ecometric model specification, or region. We found consistent evidence for the contextual nature of social cohesion, however, most variation existed between individuals, not contexts. While contextual dependence in response behaviour was fairly insensitive to item choices, population size within chosen spatial units of social cohesion measurements mattered. Somewhat counterintuitively, using spatial units with, on average, fewer residents did not yield systematically superior ecometric properties. Instead, our results underline that precise theory about the relevant contextual units of causal relationships between social cohesion and health is vital and cannot be replaced by empirical analysis. Although adjustment for respondent's characteristics had only small effects on ecometric properties, potential pitfalls of this analytic strategy are discussed in this paper. Finally, acknowledging the sensitivity of measuring social cohesion, we derived recommendations for future studies investigating the effects of contextual-level social characteristics on health.

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Social cohesion aims to describe aspects of the social environment we live in but its measurement remains challenging.

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We meta-analysed the ecometric properties of 78 social cohesion measurements.

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There is modest but consistent evidence for the contextual nature of social cohesion.

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Contextual dependence in individual response behaviour is sensitive to the chosen spatial unit.

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Meta-ecometrics studies the empirical usefulness of theoretical concepts aiming to describe social environments.

Associations of Social Cohesion and Socioeconomic Status with Health Behaviours among Middle-Aged and Older Chinese People

Background: An understanding of factors associated with health behaviours is critical for the design of appropriate health promotion programmes. Important influences of social cohesion, education, and income on people's health behaviours have been recognised in Western countries. However, little is known about these influences in the older Chinese population. Objective: To investigate associations of social cohesion and socioeconomic status (SES) with health behaviours among middle-aged and older adults in China. Methods: We used data from the World Health Organization's Study on Global AGEing and Adult Health. Logistic regression and multivariate linear regression were performed. Results: Participants who reported greater social cohesion were more likely to have adequate vegetable and fruit (VF) consumption, be socially active, and less likely to smoke daily, but were not physically more active; participants with lower education levels were less likely to have adequate VF consumption and be socially active, and more likely to smoke daily; higher incomes were associated with decreased odds of daily smoking, increased odds of adequate VF consumption, increased likelihood to be socially active, but also less likelihood to have sufficient physical activity (PA). Associations of social cohesion and SES with health behaviours (smoking, PA, and VF consumption) differed between men and women. Discussion: Our findings are an essential step toward a fuller understanding of the roles of social cohesion and SES in protecting healthy behaviours among older adults.

Spatial density of adolescents aged 14 years old, victims of dental: A longitudinal study

BACKGROUND/AIM

Knowledge about the spatial density of the domiciles of dental trauma victims can assist in the identification of the most vulnerable areas and contribute to the planning of prevention, promotion, control, and treatment actions, focusing on the most affected areas. The aim of this study was to analyze the spatial density of domiciles of 14-year-old adolescent victims of dental trauma, in the city of Diamantina, Brazil, after a two-year follow-up period.

MATERIAL AND METHODS

This longitudinal study was carried out with 584 adolescents between 2013 and 2015. Dental trauma, overjet, and lip protection were assessed by two trained and calibrated examiners (K > 0.70). Information about binge drinking was collected among the adolescents through the Alcohol Use Disorders Identification Test and sociodemographic indicators were obtained through a questionnaire answered by the caregivers of the adolescents. Spatial analyses were performed to evaluate the spatial density of adolescents with dental trauma and the independent variables of interest according to the domicile using Ripley's K function and the Kernel Map.

RESULTS

Ripley's K function revealed spatial aggregation of the domiciles of adolescent victims of dental trauma in relation to males, binge drinking and overjet, with a confidence interval of 95%. The higher density of domiciles with adolescents with two or more traumatized teeth was found in the north-east region of the city. Boys were the most affected, their homes were located in the north, north-west, and south-east regions at baseline and follow-up. The largest density of domiciles of adolescents with overjet greater than 5 mm and inadequate lip protection was in the north-east region. Similar spatial distribution was identified for binge drinking for both years.

CONCLUSION

The majority of adolescents with dental trauma lived in the north-east and south-east regions, characterized by high population density and greater social vulnerability.

Inequities and inequalities in outdoor walking groups: a scoping review

Background

Outdoor walking groups are widely-used programmes aimed at improving physical activity and health outcomes. Despite being promoted as accessible and inclusive, emerging work highlights participation biases based on gender, age and socioeconomic status, for example. To explicate the impact of outdoor walking groups on physical activity inequities, we conducted a scoping review of published outdoor walking group literatures. Specifically, we critically examined: (a) equity integration strategies; (b) intervention reach; (c) effectiveness; and (d) potential social determinants of engagement relating to the World Health Organization’s conceptual framework.

Methods

Arksey and O’Malley’s scoping review protocol was used to develop a comprehensive search strategy and identify relevant academic and grey literatures, which were screened using pre-defined inclusion and exclusion criteria. Data were organised by Cochrane PROGRESS-Plus equity characteristics and a narrative summary was presented for each thematic area.

Findings

Sixty-two publications were included. Key findings were: (a) some evidence of targeted intervention trials. Large-scale national programmes were tailored to regional activity and health needs, which may contribute toward addressing inequities. However, participant demographics seldom informed reported analyses; (b) participation was more likely among white, more socioeconomically advantaged, middle-to-older aged, female and able-bodied adults; (c) positive physical and psychological outcomes were unlikely to extend along social gradients; and (d) interventions primarily addressed intermediary determinants (e.g. psychosocial barriers; material resource). Social capital (e.g. friend-making) was identified as potentially important for addressing physical activity inequalities.

Conclusions

The published literature on outdoor walking groups leaves unanswered questions regarding participation inequalities, with implications for future physical activity promotion. Currently, participation in outdoor walking groups is typically more prevalent among advantaged subpopulations. We make recommendations for research and practice to address these issues, as well as aid the translation of existing knowledge into practice. We advocate increased focus on the social determinants of engagement. A more consistent approach to collecting and analysing participant socio-demographic data is required. Our findings also support recommendations that appropriate tailoring of universal programmes to community needs and embedding strategies to increase social cohesion are important in developing equitable programmes.

Linkage between Neighborhood Social Cohesion and BMI of South Asians in the Masala Study

Introduction. South Asians in the United States have a high prevalence of obesity and an elevated risk for cardiometabolic diseases. Yet, little is known about how aspects of neighborhood environment influence cardiometabolic risk factors such as body mass index (BMI) in this rapidly growing population. We aimed to investigate the association between perceived neighborhood social cohesion and BMI among South Asians.

METHODS

We utilized cross-sectional data from the MASALA study, a prospective community-based cohort of 906 South Asian men and women from the San Francisco Bay area and the greater Chicago area. Multivariable linear regression models, stratified by sex, were used to examine the association between perceived level of neighborhood social cohesion and individual BMI after adjusting for sociodemographics.

RESULTS

Participants were 54% male, with an average age of 55 years, 88% had at least a bachelor's degree, and the average BMI was 26.0 kg/m². South Asian women living in neighborhoods with the lowest social cohesion had a significantly higher BMI than women living in neighborhoods with the highest cohesion (β coefficient = 1.48, 95% CI 0.46-2.51, p=0.02); however, the association was not statistically significant after adjusting for sociodemographic factors (β coefficient = 1.48, 95% CI 0.46-2.51, p=0.02); however, the association was not statistically significant after adjusting for sociodemographic factors (.

CONCLUSION

Perceived neighborhood social cohesion was not significantly associated with BMI among South Asians in our study sample. Further research is recommended to explore whether other neighborhood characteristics may be associated with BMI and other health outcomes in South Asians and the mechanisms through which neighborhood may influence health.

The relationship between social capital and self-rated health: a multilevel analysis based on a poverty alleviation program in the Philippines

BACKGROUND

Poor health is both a cause and consequence of poverty, and there is a growing body of evidence suggesting that social capital is an important factor for improving health in resource-poor settings. International Care Ministries (ICM) is a non-governmental organization in the Philippines that provides a poverty alleviation program called Transform. A core aim of the program is to foster social connectedness and to create a network of support within each community, primarily through consistent community-led small group discussions. The purpose of this research was to investigate the relationship between social capital and self-rated health and how ICM's Transform program may have facilitated changes in those relationships.

METHODS

Three types of social capital were explored: bonding-structural, bridging-structural and cognitive. Using cross-sectional data collected before and after Transform, multilevel modelling was used to examine their effects on self-rated health between the two time points.

RESULTS

The analyses showed that while social capital had minimal effects on self-rated health before Transform, a series of associations were identified after the program. Evidence of interdependence between the different types of social capital was also observed: bonding social capital only had a beneficial effect on self-rated health in the presence of bridging social capital, but we found that there was a 17 percentage point increase in self-rated health when individuals possessed all possible bridging and bonding relationships. At the same time, our estimates showed that maximising all forms of social capital is not necessarily constructive, as the positive effect of cognitive social capital on self-rated health was weaker at higher levels of bridging social capital.

CONCLUSIONS

The results from this study has shown that building social capital can influence the way people perceive their own health, which can be facilitated by intervention programs which seek to create bonding and bridging relationships. Transform's intentional design to learn in community could be relevant to program planners as they develop and evaluate community-based programs, making adaptations as necessary to achieve organisation-specific goals while acknowledging the potential for varied effects when applied in different contexts or circumstances.

Social capital and physical health: An updated review of the literature for 2007-2018

PURPOSE

Social capital is frequently indicated as a determinant of population health. Despite an increase in the frequency of public health studies including such measures, our understanding of social capital's effects on health remains unclear. In 2008, a systematic review of the "first decade" of research on social capital and health was published in the textbook Social Capital and Health. Our study intends to update and expand upon this original review to account for developments in the literature over the second decade of research on social capital and health.

METHODS

We employed a systematic review of empirical studies investigating the relationship between measures of social capital and physical health outcomes published between January 1, 2007 and December 31, 2018. To identify potential studies, we conducted searches of PubMed, Embase, and PsychINFO databases in January 2019 using combinations of "social capital" and "physical health" search terms.

RESULTS

We identified 1,608 unique articles and reviewed 145 studies meeting our inclusion criteria. The most frequently examined health condition was self-reported health (57%), followed by mortality (12%), cardiovascular diseases (10%), obesity (7%), diabetes (6%), infectious diseases (5%), and cancers (3%). Of these studies, 127 (88%) reported at least partial support for a protective association between social capital and health. However, only 41 (28%) reported exclusively positive findings. The majority (59%) of results were mixed, suggesting a nuanced relationship between social capital and health. This finding could also be indicative of differences in study design, which showed substantial variation.

CONCLUSIONS

Despite limitations in the literature, our review chronicles an evolution in the field of social capital and health in terms of size and sophistication. Overall, these studies suggest that social capital may be an important protective factor for some physical health outcomes, but further research is needed to confirm and clarify these findings.

Social network influences and the adoption of obesity-related behaviours in adults: a critical interpretative synthesis review

BACKGROUND

Obesity is a key risk factor for developing a long-term condition and a leading cause of mortality globally. The limited evidence associated with interventions that currently target obesity-related behaviours demand new approaches to tackle this problem. Given the evidence that social ties are implicated in the gaining and reduction of weight, the use of social networks in interventions is potentially a novel and useful means of tackling this health issue. There is a specific gap in the literature regarding what and how social network properties and processes together with environmental and individual factors influence the adoption of positive and negative obesity-related behaviours in adults.

METHODS

To address this gap in developing an integrated and holistic conceptual approach, a critical interpretative synthesis was undertaken following a line of argument synthesis as an analytical strategy.

RESULTS

Twenty-four studies were included. The data-driven themes meso-micro network processes, contextual and individual factors, and types of ties and properties were identified individually as components and causes of different health scenarios. Nevertheless, these drivers do not act on their own. As a consequence, developing multi-agent coalitions considering cross-level influences between the data-driven themes are two mechanisms that are created to understand more in-depth how social networks and the environment influence the adoption of obesity-related behaviours. These two new constructs point to a dynamic multilevel set of influences between multiple constructs, developing scenarios where positive and negative health results are identified.

CONCLUSIONS

This critical interpretative synthesis offers a new means of exploring the application of social network properties and mechanisms in the 'obesity' field. The synthesizing argument created during the analysis process might be considered by health policy-makers, who might need to contemplate the wider open system of socially connected individuals and harness these forces to design new interventions where social networks and other contextual and individual factors operate together in a complex multilevel environment influencing obesity-related behaviours and practices.

Neighbourhood social capital and obesity: a systematic review of the literature

Social capital, defined as the resources accessed by individuals and groups through social connections, has been posited to be a social determinant of obesity. However, empirical evidence for this association has been inconsistent - namely, some studies have found a protective association while others have reported no correlation. We sought to conduct a systematic review on the relation between neighbourhood social capital and obesity, considering potential differences on the results based on the measures used and the covariates and mediators included in the studies. PRISMA statement guidelines were followed. Our results indicate that an association between neighbourhood social capital and obesity exists, but that it depends on the measures and covariates used in the study design. Understanding the role of social capital in the development and/or maintenance of obesity will require the use of strong methodological designs and a thorough conceptualization of how this relationship may arise.

Relationship of social capital with overweight and obesity among female health care workers

BACKGROUND

The epidemic of obesity has turned into a major global health challenge. Environmental and social factors such as social capital, can significantly affect obesity. This study aimed to evaluate the relationship of social capital with overweight and obesity among female health-care workers.

METHODS

This cross-sectional study was conducted in 2018 on 680 female health-care workers who were randomly selected from healthcare settings affiliated to Babol University of Medical Sciences, Babol, Iran. Data were collected using a demographic questionnaire and the Workplace Social Capital (WSC) questionnaire. The SPSS Version 21 was employed to analyze the data through conducting the independent-sample t and the chi-square tests as well as the linear and the logistic regression analyses at a significance level of less than 0.05.

RESULTS

Linear regression analysis revealed that age, marital status, satisfaction with economic status, and structural social capital were significant predictors of body mass index (P<0.05). Moreover, logistic regression analysis indicated that weak social capital increased the odds of overweight/ obesity by 1.3 times (OR=1.345; 95% CI: 0.643-2.812) and weak structural social capital significantly increased the odds of overweight /obesity by almost four times (OR=3.757; 95% CI: 1.628-8.671; P=0.002).

CONCLUSION

Social capital, particularly structural social capital, is a significant predictor of body mass index and a protective factor against obesity among female health-care workers. Further studies are needed to determine the paths through which social capital affects obesity- and overweight-related behaviors.

The Moderating Role of Social Neighbourhood Factors in the Association between Features of the Physical Neighbourhood Environment and Weight Status

BACKGROUND

This paper investigated the independent and joint associations between aspects of the physical neighbourhood environment and social neighbourhood factors with BMI and overweight status in European adults.

METHODS

Data from 5,199 participants in the SPOTLIGHT survey were analysed. Participants reported on their height, weight and perceptions of the neighbourhood. Objectively measured aspects of the physical neighbourhood environment included: presence of recreational facilities, features of the active transportation environment, neighbourhood aesthetics and presence of different types of food outlets. Social factors included the self-reported variables social network, social cohesion, social trust and perceived crime and the census variable neighbourhood socioeconomic status. Outcome measures were BMI and overweight status. Main associations between physical and social factors and BMI/overweight status were analysed using multilevel regression analyses adjusted for confounders. Moderation analysis was conducted by adding the interaction terms between physical and social neighbourhood factors one by one to the multivariable models. Significant interaction terms were then stratified.

RESULTS

Significant associations with BMI/overweight status were found for features of the active transportation environment and all social factors, except perceived crime. Several significant interaction terms were detected, but no significant associations between the physical neighbourhood environment and BMI/overweight status were found after stratification.

CONCLUSION

We did not find consistent interactions between physical and social neighbourhood factors to explain BMI and overweight status.

Spouses, social networks and other upstream determinants of type 2 diabetes mellitus

Diabetes risk factors outside the individual are receiving increasing attention. In this issue of Diabetologia, Nielsen et al (DOI: https://doi.org/10.1007/s00125-018-4587-1 ) demonstrate that an individual's obesity level is associated with incident type 2 diabetes in their spouse. This is in line with studies providing evidence for spousal and peer similarities in lifestyle behaviours and obesity. Non-random mating and convergence over time are two explanations for this phenomenon, but shared exposure to more upstream drivers of diabetes may also play a role. From a systems-science perspective, these mechanisms are likely to occur simultaneously and interactively as part of a complex system. In this commentary, we provide an overview of the wider system-level factors that contribute to type 2 diabetes.

Investigating societal determinants of oral health-Opportunities and challenges in multilevel studies

The high prevalence of oral diseases and the persistent nature of socioeconomic inequalities in oral health outcomes across societies presents a significant challenge for public health globally. A debate exists in epidemiology on the merits of investigating population variations in health and its determinants over studying individual health and its individual risk factors. The choice of analytical unit for health outcomes at the population level has policy implications and consequences for the causal understanding of population-level variations in health/disease. There is a lack of discussion in oral epidemiology on the relevance of studying population variations in oral health. Evidence on the role of societal factors in shaping variations in oral health at both the individual level and the population level is also mounting. Multilevel studies are increasingly applied in social epidemiology to address hypotheses generated at different levels of social organization, but the opportunities offered by multilevel approaches are less applied for studying determinants of oral health at the societal level. Multilevel studies are complex as they aim to examine hypotheses generated at multiple levels of social organization and require attention to a range of theoretical and methodological aspects from the stage of design to analysis and interpretation. This discussion study aimed to highlight the value in studying population variations in oral health. It discusses the opportunities provided by multilevel approaches to study societal determinants of oral health. Finally, it reviews the key methodological aspects related to operationalizing multilevel studies of societal determinants of oral health.

Contextual correlates of happiness in European adults

OBJECTIVES

We aimed to examine the associations of both objectively assessed and perceived physical and social neighborhood characteristics with happiness in European adults. In addition, we aimed to study how these associations differed among subgroups.

METHODS

Participants (N = 6037) of the cross-sectional SPOTLIGHT survey reported on their level of happiness using a 5-point Likert scale, and on perceived physical and social environmental neighborhood characteristics. Objective physical environmental characteristics were assessed using a Google Street View-based neighborhood audit. Associations of 14 physical and social environmental characteristics with happiness were analyzed using multivariable multinomial regression analyses with clustered standard errors.

RESULTS

Living in neighborhoods with higher levels of aesthetics and more water and green space was associated with being very happy. Individuals who perceived their neighborhood to be safer, more functional and more aesthetic were more likely to be very happy. The associations of functionality and aesthetics with happiness were strongest in the Ghent region (Belgium), the Randstad (the Netherlands) and Greater London (United Kingdom). Perceived absence of air pollution was only associated with higher levels of happiness in more highly educated participants. Individuals with a larger social network, more social cohesion and who trusted their neighbors were more likely to be very happy. The association between social networks and happiness was somewhat stronger in men than in women. In general, the associations between environmental characteristics and happiness had similar directions and sizes across socio-economic and socio-demographic subgroups.

CONCLUSIONS

This European study provided evidence that both objectively assessed and perceived physical and social characteristics of the neighborhood environment are associated with the happiness of its residents.

Helpfulness, Trust, and Safety of Neighborhoods: Social Capital, Household Income, and Self-Reported Health of Older Adults

Background and Objectives

Growing literature documents that where you live has an impact on your health, due in part to social capital. Building on social capital literature, we assess how subjective appraisals of neighborhood quality are associated with self-reported health (SRH) for older adults.

Research Design and Methods

Cross-sectional analysis of the 2014 California Health Interview Survey, a representative survey of diverse, noninstitutionalized California residents. We use three measures of neighborhood quality: trustworthy neighbors, helpful neighbors, and feeling safe. Using weighted ordinary least squares regression, we assess the associations of trust, helpfulness, and safety to SRH, controlling for neighborhood, demographic, and health care variables. We then examine how these associations vary by household income.

Results

We find that characterizing neighbors as helpful and feeling safe are associated with better SRH, even controlling for community, demographic, and health care variables. However, the importance of these dimensions varies across household income: helpfulness is positively associated, whereas trust is negatively associated with SRH for lower income residents; safety is positively associated with SRH in all but the lowest income residents. These findings show that social capital dimensions work differently from one another, and differentially affect the health of older adults.

Discussion and Implications

Scholarly analyses of neighborhood effects should include a range of social capital measures and stratify by household income. Our findings may also inform priority setting for social capital programs, especially for older adults with limited economic resources. Policies and programs should consider actions that raise perceptions of helpfulness and safety.

The mediating role of social capital in the association between neighbourhood income inequality and body mass index

Background

Neighbourhood income inequality may contribute to differences in body weight. We explored whether neighbourhood social capital mediated the association of neighbourhood income inequality with individual body mass index (BMI).

Methods

A total of 4126 adult participants from 48 neighbourhoods in France, Hungary, the Netherlands and the UK provided information on their levels of income, perceptions of neighbourhood social capital and BMI. Factor analysis of the 13-item social capital scale revealed two social capital constructs: social networks and social cohesion. Neighbourhood income inequality was defined as the ratio of the amount of income earned by the top 20% and the bottom 20% in a given neighbourhood. Two single mediation analyses-using multilevel linear regression analyses-with neighbourhood social networks and neighbourhood social cohesion as possible mediators-were conducted using MacKinnon's product-of-coefficients method, adjusted for age, gender, education and absolute household income.

Results

Higher neighbourhood income inequality was associated with elevated levels of BMI and lower levels of neighbourhood social networks and neighbourhood social cohesion. High levels of neighbourhood social networks were associated with lower BMI. Results stratified by country demonstrate that social networks fully explained the association between income inequality and BMI in France and the Netherlands. Social cohesion was only a significant mediating variable for Dutch participants.

Conclusion

The results suggest that in some European urban regions, neighbourhood social capital plays a large role in the association between neighbourhood income inequality and individual BMI.

Individual and environmental correlates of objectively measured sedentary time in Dutch and Belgian adults

As the detrimental health effects of sedentary behaviour are well established, insight into the individual and environmental factors that influence adults’ sedentary behaviour is needed. Most studies to date rely on self-reported measures of sedentary time. Therefore, the aim of the current study was to examine individual and environmental correlates of objectively measured sedentary time in Dutch and Belgian adults. Between March and August 2014, Belgian (n = 133) and Dutch (n = 223) adults, recruited as sub-sample of the SPOTLIGHT survey, wore an ActiGraph accelerometer to provide objectively measured sedentary and moderate to vigorous physical activity time. Participants completed a questionnaire assessing sociodemographic (country of residence, age, gender and educational level), lifestyle (sleep, smoking, sugar-containing beverage consumption, alcohol intake), health (body mass index, self-rated health), work (employment status and type of work), happiness, physical environmental (owning a car, number of screens, socioeconomic status and residential density) and social environmental factors (social network, social cohesion). Univariate and multivariable regression analyses showed that Belgian participants had a lower odds of being sedentary for at least 9 hours per day compared to Dutch participants. Women, older participants and those meeting the WHO recommendation for physical activity were also less likely to sit for 9 hours or more per day. Participants doing (heavy) manual work or being in education, homemaker, unemployed had lower odds of being sedentary for at least 9 hours per day compared to participants with a sitting job. Those with a higher self-reported social network also had lower odds for sedentary time. No associations between physical and other social environmental characteristics and sedentary time were found. Our findings add to the growing evidence of factors associated with prolonged sedentary time in adults. These findings may be used to inform the development of strategies and interventions aimed at reducing sedentary time, and to identify high risk groups.

Assessing the psychometric and ecometric properties of neighborhood scales using adolescent survey data from urban and rural Scotland

Background

Despite the well-established need for specific measurement instruments to examine the relationship between neighborhood conditions and adolescent well-being outcomes, few studies have developed scales to measure features of the neighborhoods in which adolescents reside. Moreover, measures of neighborhood features may be operationalised differently by adolescents living in different levels of urban/rurality. This has not been addressed in previous studies. The objectives of this study were to: 1) establish instruments to measure adolescent neighborhood features at both the individual and neighborhood level, 2) assess their psychometric and ecometric properties, 3) test for invariance by urban/rurality, and 4) generate neighborhood level scores for use in further analysis.

Methods

Data were from the Scottish 2010 Health Behaviour in School-aged Children Survey, which included an over-sample of rural adolescents. The survey responses of interest came from questions designed to capture different facets of the local area in which each respondent resided. Intermediate data zones were used as proxies for neighborhoods. Internal consistency was evaluated by Cronbach’s alpha. Invariance was examined using confirmatory factor analysis. Multilevel models were used to estimate ecometric properties and generate neighborhood scores.

Results

Two constructs labeled neighborhood social cohesion and neighborhood disorder were identified. Adjustment was made to the originally specified model to improve model fit and measures of invariance. At the individual level, reliability was .760 for social cohesion and .765 for disorder, and between .524 and .571 for both constructs at the neighborhood level. Individuals in rural areas experienced greater neighborhood social cohesion and lower levels of neighborhood disorder compared with those in urban areas.

Conclusion

The scales are appropriate for measuring neighborhood characteristics experienced by adolescents across urban and rural Scotland, and can be used in future studies of neighborhoods and health. However, trade-offs between neighborhood sample size and reliability must be considered.

Does 'existential unease' predict adult multimorbidity? Analytical cohort study on embodiment based on the Norwegian HUNT population

OBJECTIVES

Multimorbidity is prevalent, and knowledge regarding its aetiology is limited. The general pathogenic impact of adverse life experiences, comprising a wide-ranging typology, is well documented and coherent with the concept allostatic overload (the long-term impact of stress on human physiology) and the notion embodiment (the conversion of sociocultural and environmental influences into physiological characteristics). Less is known about the medical relevance of subtle distress or unease. The study aim was to prospectively explore the associations between existential unease (coined as a meta-term for the included items) and multimorbidity.

SETTING

Our data are derived from an unselected Norwegian population, the Nord-Trøndelag Health Study, phases 2 (1995-1997) and 3 (2006-2008), with a mean of 11 years follow-up.

PARTICIPANTS

The analysis includes 20 365 individuals aged 20-59 years who participated in both phases and was classified without multimorbidity (with 0-1 disease) at baseline.

METHODS

From HUNT2, we selected 11 items indicating 'unease' in the realms of self-esteem, well-being, sense of coherence and social relationships. Poisson regressions were used to generate relative risk (RR) of developing multimorbidity, according to the respondents' ease/unease profile.

RESULTS

A total of 6277 (30.8%) participants developed multimorbidity. They were older, more likely to be women, smokers and with lower education. 10 of the 11 'unease' items were significantly related to the development of multimorbidity. The items 'poor self-rated health' and 'feeling dissatisfied with life' exhibited the highest RR, 1.55 and 1.44, respectively (95% CI 1.44 to 1.66 and 1.21 to 1.71). The prevalence of multimorbidity increased with the number of 'unease' factors, from 26.7% for no factor to 49.2% for 6 or more.

CONCLUSIONS

In this prospective study, 'existential unease' was associated with the development of multimorbidity in a dose-response manner. The finding indicates that existential unease increases people's vulnerability to disease, concordant with current literature regarding increased allostatic load.

Social capital and health in Kenya: A multilevel analysis

Despite the acknowledgment that social capital is an important predictor of good health and overall well being in wealthy countries, little empirical research has been conducted in developing countries, particularly in Africa, to examine this relationship. This study examines the association between cognitive (trust) and structural (membership in organization) social capital on health at both the individual and contextual levels. Health was measured using answers to a subjective question on physical health and anxiety/worry suffered by individuals within the last 30 days. This study utilized Afrobarometer data collected in Kenya in 2005 to examine this relationship using multilevel logistic statistical modeling. Upon controlling for socioeconomic and demographic factors, social capital was found to be significantly associated with anxiety/worry and physical health in Kenya. Membership in organizations was associated with increased odds (OR = 1.34, 95%CI: 1.02-1.76) of physical health problems, while individual trust was associated with a 6% (OR = 0.94, 95%CI: 0.90-0.99) reduction in the likelihood of physical health problems. Conversely, generalized trust was associated with a 37% reduction in the odds (OR = 0.63, 95%CI: 0.40-0.99) of anxiety/worry, while individual trust was associated with a 5% reduction (OR = 0.95, 95%CI: 0.90-1.00) of anxiety/worry. With the exception of membership in an organization that exacerbates physical health, both individual level trust and generalized trust were associated with better health outcomes in Kenya. The availability of social organizations at the contextual level was associated with worsening anxiety/worry although the effect size was small. These results show that social capital, particularly trust, is a concept that can apply to different social and cultural contexts and can potentially be harnessed to improve health in settings that suffer from resource poverty.

Theoretical basis and explanation for the relationship between area-level social inequalities and population oral health outcomes - A scoping review

This study was conducted to review the evidence on the association between area-level social inequalities and population oral health according to type and extent of social theories. A scoping review was conducted of studies, which assessed the association between area-level social inequality measures, and population oral health outcomes including self-rated oral health, number of teeth, dental caries, periodontal disease, tooth loss, oral health-related quality of life (OHRQoL) and dental pain. A search strategy was applied to identify evidence on PubMed, MEDLINE (Ovid), EMBASE, Web of Science, ERIC, Sociological Abstracts, Social Services Abstracts, references of selected studies, and further grey literature. A qualitative content analysis of the selected studies was conducted to identify theories and categorize studies according to their theoretical basis. A total of 2892 studies were identified with 16 included in the review. Seven types of social theories were used on 48 occasions within the selected studies including: psychosocial (n=13), behavioural (n=10), neo-material (n=10), social capital (n=6), social cohesion (n=4), material (n=3) and social support (n=2). Of the selected studies, four explicitly tested social theories as pathways from inequalities to population oral health outcomes, three used a theoretical construct, seven used theories for post-hoc explanation and two did not have any use of theory. In conclusion, psychosocial theories were used most frequently. Although theories were often mentioned, majority of these studies did not test a social theory.

Exploring equity in primary-care-based physical activity interventions using PROGRESS-Plus: a systematic review and evidence synthesis

BACKGROUND

Little is known about equity effects in primary care based physical activity interventions. This review explored whether differences in intervention effects are evident across indicators of social disadvantage, specified under the acronym PROGRESS-Plus (place of residence, race/ethnicity, occupation, gender, religion, education, social capital, socioeconomic status, plus age, disability and sexual orientation).

METHODS

Six bibliographic databases were systematically searched for randomised controlled trials (RCTs) of physical activity interventions conducted in primary care. Harvest plots were used to synthesize findings from RCTs reporting subgroup or interaction analyses examining differences in intervention effects across levels of at least one PROGRESS-Plus factor.

RESULTS

The search yielded 9052 articles, from which 173 eligible RCTs were identified. Despite PROGRESS-Plus factors being commonly measured (N = 171 RCTs), differential effect analyses were infrequently reported (N = 24 RCTs). Where reported, results of equity analyses suggest no differences in effect across levels or categories of place of residence (N = 1RCT), race (N = 4 RCTs), education (N = 3 RCTs), socioeconomic status (N = 3 RCTs), age (N = 16 RCTs) or disability (N = 2 RCTs). Mixed findings were observed for gender (N = 22 RCTs), with some interventions showing greater effect in men than women and others vice versa. Three RCTs examined indicators of social capital, with larger post-intervention differences in physical activity levels between trial arms found in those with higher baseline social support for exercise in one trial only. No RCTs examined differential effects by participant occupation, religion or sexual orientation.

CONCLUSION

The majority of RCTs of physical activity interventions in primary care record sufficient information on PROGRESS-Plus factors to allow differential effects to be studied. However, very few actually report details of relevant analyses to determine which population subgroups may stand to benefit or be further disadvantaged by intervention efforts.

Exploring why residents of socioeconomically deprived neighbourhoods have less favourable perceptions of their neighbourhood environment than residents of wealthy neighbourhoods

Residents of socioeconomically deprived areas perceive their neighbourhood as less conducive to healthy behaviours than residents of more affluent areas. Whether these unfavourable perceptions are based on objective neighbourhood features or other factors is poorly understood. We examined individual and contextual correlates of socioeconomic inequalities in neighbourhood perceptions across five urban regions in Europe. Data were analysed from 5205 participants of the SPOTLIGHT survey. Participants reported perceptions of their neighbourhood environment with regard to aesthetics, safety, the presence of destinations and functionality of the neighbourhood, which were summed into an overall neighbourhood perceptions score. Multivariable multilevel regression analyses were conducted to investigate whether the following factors were associated with socioeconomic inequalities in neighbourhood perceptions: objectively observed neighbourhood features, neighbourhood social capital, exposure to the neighbourhood, self-rated health and lifestyle behaviours. Objectively observed traffic safety, aesthetics and the presence of destinations in the neighbourhood explained around 15% of differences in neighbourhood perceptions between residents of high and low neighbourhoods; levels of neighbourhood social cohesion explained around 52%. Exposure to the neighbourhood, self-rated health and lifestyle behaviours were significant correlates of neighbourhood perceptions but did not contribute to socioeconomic differences. This cross-European study provided evidence that socioeconomic differences in neighbourhood perceptions are not only associated with objective neighbourhood features but also with social cohesion. Levels of physical activity, sleep duration, self-rated health, happiness and neighbourhood preference were also associated with neighbourhood perceptions.