Low workplace social capital as a predictor of depression: the Finnish Public Sector Study

In a prospective cohort study of Finnish public sector employees, the authors examined the association between workplace social capital and depression. Data were obtained from 33,577 employees, who had no recent history of antidepressant treatment and who reported no history of physician-diagnosed depression at baseline in 2000-2002. Their risk of depression was measured with two indicators: recorded purchases of antidepressants until December 31, 2005, and self-reports of new-onset depression diagnosed by a physician in the follow-up survey in 2004-2005. Multilevel logistic regression analysis was used to explore whether self-reported and aggregate-level workplace social capital predicted indicators of depression at follow-up. The odds for antidepressant treatment and physician-diagnosed depression were 20-50% higher for employees with low self-reported social capital than for those reporting high social capital. These associations were not accounted for by sex, age, marital status, socioeconomic position, place of work, smoking, alcohol use, physical activity, and body mass index. The association between social capital and self-reported depression attenuated but remained significant after further adjustment for baseline psychological distress (a proxy for undiagnosed mental health problems). Aggregate-level social capital was not associated with subsequent depression.     

Prevalence of common infections among employees in different work schedules

This study examined the prevalence of common infections among employees in different work schedules. Self-administered questionnaire data from the Maastricht Cohort Study on "Fatigue at Work" (n = 12,140) were used. Job title was used as a matching variable between day and shift workers to control for their different work environment. We used a multilevel analysis of a two-level structure, in which the individual employees (level 1) were nested within job titles (level 2), adjusted for demographics, longstanding disease, health behavior, work-related factors, fatigue and sleep quality. Results from the multilevel analyses showed that, compared to day work, shift work was associated with a higher risk for common infections, with the highest risk in three-shift workers. Compared to day work, shift work was further associated with differences in health, health behavior, sleep, fatigue and perceived job characteristics, factors that may influence the occurrence of infections and should be taken into account in future studies as well.     

Does low workplace social capital have detrimental effect on workers' health?

While the majority of studies of social capital and health have focused on conceptualizing social capital at the geographic level, evidence remains sparse on workplace social capital. We examined the association between workplace social capital and health status among Japanese private sector employees in a cross-sectional study. By employing a two-stage stratified random sampling procedure, 1147 employees were identified from 46 companies in Okayama in 2007. Workplace social capital was measured based on two components; trust and reciprocity. Company-level social capital was based on aggregating employee responses and calculating the proportion of workers reporting mistrust and lack of reciprocity. Multilevel logistic regression analysis was conducted using Markov Chain Monte Carlo methods to explore whether individual- and company-level mistrust and lack of reciprocity were associated with poor self-rated health. Odds ratios (ORs) and 95% credible intervals (CIs) for poor health were obtained for each variable. Workers reporting individual-level mistrust and lack of reciprocity had approximately double the odds of poor health even after controlling for sex, age, occupation, educational attainment, smoking, alcohol use, physical activity, body mass index, and chronic diseases. While we found some suggestion of a contextual association between company-level mistrust and poor health, no association was found between company-level lack of reciprocity and health. Despite the thorough examination of cross-level interaction terms between company-level social capital and individual characteristics, no clear patterns were observed. Individual perceptions of mistrust and lack of reciprocity at work have adverse effects on self-rated health among Japanese workers. Although the present study possibly suggests the contextual effect of workplace mistrust on workers' health, the contextual effect of workplace lack of reciprocity was not supported.     

The importance of gender and conceptualization for understanding the association between collective social capital and health: a multilevel analysis from northern Sweden

Growing research on social capital and health has fuelled the debate on whether there is a place effect on health. A central question is whether health inequality between places is due to differences in the composition of people living in these places (compositional effect) or differences in the local social and physical environments (contextual effects). Despite extensive use of multilevel approaches that allows controlling for whether the effects of collective social capital are confounded by access to social capital at the individual level, the picture remains unclear. Recent studies indicate that contextual effects on health may vary for different population subgroups and measuring "average" contextual effects on health for a whole population might therefore be inappropriate. In this study from northern Sweden, we investigated the associations between collective social capital and self-rated health for men and women separately, to understand if health effects of collective social capital are gendered. Two measures of collective social capital were used: one conventional measure (aggregated measures of trust, participation and voting) and one specific place-related (neighbourhood) measure. The results show a positive association between collective social capital and self-rated health for women but not for men. Regardless of the measure used, women who live in very high social capital neighbourhoods are more likely to rate their health as good-fair, compared to women who live in very low social capital neighbourhoods. The health effects of collective social capital might thus be gendered in favour for women. However, a more equal involvement of men and women in the domestic sphere would potentially benefit men in this matter. When controlling for socioeconomic, sociodemographic and social capital attributes at the individual level, the relationship between women's health and collective social capital remained statistically significant when using the neighbourhood-related measure but not when using the conventional measure. Our results support the view that a neighbourhood-related measure provides a clearer picture of the health effects of collective social capital, at least for women.     

Invited commentary: social capital, social contexts, and depression

The literature concerning social capital and health has grown exponentially during the past somewhat more than 10 years. The study by Kouvonen et al. (Am J Epidemiol 2008;167:1143-1151) is a longitudinal multilevel analysis of 33,577 public sector employees in Finland. The study shows a significant association between workplace social capital and depression, which is an interesting finding in a very new field of the study of social capital and health. However, the study also serves as an inspiration for further studies in important research areas. Workplace social capital may be investigated according to both horizontal, that is, social contacts and level of trust in relation to coworkers, and vertical, that is, relation with employer/supervisor across power gradients, dimensions. The fact that workplace social capital may affect social capital outside work and vice versa is also of interest. It is also important to define and identify the social context level in a correct way in multilevel studies. In the study by Kouvonen et al., the social context is not a geographic entity but an entity defined according to place of work, and the definition of such a social context entails several difficulties. This study presents interesting findings and provides a basis for future studies.     

Social capital and mental health: a comparative analysis of four low income countries

Women and the poor are disproportionately affected by common mental disorders (CMD), and women in low income countries are particularly at risk. Social capital may explain some of the geographical variation in CMD, but the association between social capital and CMD in low income countries has rarely been studied. This paper aims to explore the relationship between individual and ecological measures of social capital and maternal CMD in four low income countries. Cross-sectional data from the Young Lives (YL) study with information across 234 communities in Peru, Ethiopia, Vietnam and Andhra Pradesh (India) were used. The mental health of mothers of one-year-old children (n=6909), and the individual cognitive and structural social capital of all respondents was assessed. Ecological social capital was calculated by aggregating individual responses to the community level. Multi-level modelling was used to explore the association between individual and ecological (community level) social capital and maternal CMD in each of the four countries, adjusting for a wide range of individual and community level confounders. The analysis shows that individual cognitive social capital is associated with reduced odds of CMD across all four countries. The results for structural social capital are more mixed and culturally specific, with some aspects associated with increased odds of CMD. This suggests that structural social capital has context-specific effects and cognitive social capital more universal effects on maternal CMD.     

Bonding versus bridging social capital and their associations with self rated health: a multilevel analysis of 40 US communities

STUDY OBJECTIVE: Few studies have distinguished between the effects of different forms of social capital on health. This study distinguished between the health effects of summary measures tapping into the constructs of community bonding and community bridging social capital. DESIGN: A multilevel logistic regression analysis of community bonding and community bridging social capital in relation to individual self rated fair/poor health. SETTING: 40 US communities. PARTICIPANTS: Within community samples of adults (n = 24 835), surveyed by telephone in 2000-2001. MAIN RESULTS: Adjusting for community sociodemographic and socioeconomic composition and community level income and age, the odds ratio of reporting fair or poor health was lower for each 1-standard deviation (SD) higher community bonding social capital (OR = 0.86; 95% = 0.80 to 0.92) and each 1-SD higher community bridging social capital (OR = 0.95; 95% CI = 0.88 to 1.02). The addition of indicators for individual level bonding and bridging social capital and social trust slightly attenuated the associations for community bonding social capital (OR = 0.90, 95% CI = 0.84 to 0.97) and community bridging social capital (OR = 0.96, 95% CI = 0.89 to 1.03). Individual level high formal bonding social capital, trust in members of one's race/ethnicity, and generalised social trust were each significantly and inversely related to fair/poor health. Furthermore, significant cross level interactions of community social capital with individual race/ethnicity were seen, including weaker inverse associations between community bonding social capital and fair/poor health among black persons compared with white persons. CONCLUSIONS: These results suggest modest protective effects of community bonding and community bridging social capital on health. Interventions and policies that leverage community bonding and bridging social capital might serve as means of population health improvement.     

Social capital and administrative contextual determinants of lack of access to a regular doctor: a multilevel analysis in southern Sweden

BACKGROUND: The aim of this study was to investigate the influence of contextual (social capital and administrative/neo-materialist) and individual factors on lack of access to a regular doctor. METHODS: The 2000 public health survey in Scania is a cross-sectional study. A total of 13,715 persons answered a postal questionnaire, which is 59% of the random sample. A multilevel logistic regression model, with individuals at the first level and municipalities at the second, was performed. The effect (intra-class correlations, cross-level modification and odds ratios) of individual and municipality (social capital and health care district) factors on lack of access to a regular doctor was analysed using simulation method. The Deviance Information Criterion (DIC) was used as information criterion for the models. RESULTS: The second level municipality variance in lack of access to a regular doctor is substantial even in the final models with all individual and contextual variables included. The model that results in the largest reduction in DIC is the model including age, sex and individual social participation (which is a network aspect of social capital), but the models which include administrative and social capital second level factors also reduced the DIC values. CONCLUSIONS: This study suggests that both administrative health care district and social capital may partly explain the individual's self reported lack of access to a regular doctor.     

Social capital and health: Does egalitarianism matter? A literature review

The aim of the paper is to critically review the notion of social capital and review empirical literature on the association between social capital and health across countries. The methodology used for the review includes a systematic search on electronic databases for peer-reviewed published literature. We categorize studies according to level of analysis (single and multilevel) and examine whether studies reveal a significant health impact of individual and area level social capital. We compare the study conclusions according to the country's degrees of economic egalitarianism. Regardless of study design, our findings indicate that a positive association (fixed effect) exists between social capital and better health irrespective of countries degree of egalitarianism. However, we find that the between-area variance (random effect) in health tends to be lower in more egalitarian countries than in less egalitarian countries. Our tentative conclusion is that an association between social capital and health at the individual level is robust with respect to the degree of egalitarianism within a country. Area level or contextual social capital may be less salient in egalitarian countries in explaining health differences across places.     

Job decision latitude, organizational justice and health: multilevel covariance structure analysis

A total of 2969 hospital employees from 162 wards participated in a 2-year follow-up study that examined the relationship between job decision latitude, organizational justice and employee health in Finland. We used medically certified sickness absence records as indicators of health problems. Multilevel covariance structure analysis was applied to take into account the hierarchical nature of the data. Responses from individuals within work units seem not always to be independent, and any models that ignore this lack of independence may incorrectly estimate the between individual relationships. Our results suggest that both job decision latitude and organizational justice varied considerably between work units in addition to individual level variation. Furthermore job decision latitude was associated with organizational justice both at individual and work unit level. Justice evaluations predicted sickness absence only at the individual level.     

Social capital and health-purely a question of context?

Debate still surrounds which level of analysis (individual vs. contextual) is most appropriate to investigate the effects of social capital on health. Applying multilevel ecometric analyses to British Household Panel Survey data, we estimated fixed and random effects between five individual-, household- and small area-level social capital indicators and general health. We further compared the variance in health attributable to each level using intraclass correlations. Our results demonstrate that association between social capital and health depends on indicator type and level investigated, with one quarter of total individual-level health variance found at the household level. However, individual-level social capital variables and other health determinants appear to influence contextual-level variance the most.     

A multilevel analysis of social capital and self-rated health: Evidence from China

We investigate relationship between social capital and self-rated health (SRH) in urban and rural China. Using a nationally representative data collected in 2005, we performed multilevel analyses. The social capital indicators include bonding trust, bridging trust, social participation and Chinese Communist Party membership. Results showed that only trust was beneficial for SRH in China. Bonding trust mainly promoted SRH at individual level and bridging trust mainly at county level. Moreover, the individual-level bridging trust was only positively associated with SRH of urban residents, which mirrored the urban–rural dual structure in China. We also found a cross-level interaction effect of bonding trust in urban area. In a county with high level of bonding trust, high-bonding-trust individuals obtained more health benefit than others; in a county with low level of bonding trust, the situation was the opposite.     

Social capital and neo-materialist contextual determinants of sense of insecurity in the neighbourhood: a multilevel analysis in Southern Sweden

BACKGROUND: The aim of this study was to investigate the influence of contextual (social capital and neo-materialist) and individual factors on sense of insecurity in the neighbourhood. METHODS: The 2000 public health survey in Scania is a cross-sectional study. A total of 13,715 persons answered a postal questionnaire, which is 59% of the random sample. A multilevel logistic regression model, with individuals at the first level and municipalities at the second, was performed. The effect (median odds ratios, intra-class correlation, cross-level modification and odds ratios) of individual and municipality/city quarter (social capital and police district) factors on sense of insecurity was analysed. RESULTS: The crude variance between municipalities/city quarters was not affected by individual factors. The introduction of administrative police district in the model reduced the municipality variance, although some of the significant variance between municipalities remained. The introduction of social capital did not affect the municipality variance. CONCLUSIONS: This study suggests that the neo-materialist factor administrative police district may partly explain the individual's sense of insecurity in the neighbourhood.     

Conflicts at work--the relationship with workplace factors, work characteristics and self-rated health

Few studies have considered the work environment in relation to workplace conflicts and those who have been published have included relatively few psychosocial work environment factors. Little research has been published on the consequences of workplace conflicts in terms of employee health. In this study, the statistical relationships between work and workplace characteristics on one hand and conflicts on the other hand are examined. In addition, the relationship between conflicts at work and self-rated health are described. The study population was derived from the Swedish Longitudinal Occupational Survey of Health (SLOSH) 2006; n=5,141. Among employees at workplaces with more than 20 employees (n=3,341), 1,126 (33.7%) responded that they had been involved in some type of conflict during the two years preceding the survey. Among the work and workplace characteristics studied, the following factors were independently associated with increased likelihood of ongoing conflicts: Conflicting demands, emotional demands, risk of transfer or dismissal, poor promotion prospects, high level of employee influence and good freedom of expression. Factors that decreased the likelihood of ongoing conflicts were: Good resources, good relations with management, good confidence in management, good procedural justice (fairness of decisions) and good social support. After adjustment for socioeconomic conditions the odds ratio for low self-rated health associated with ongoing conflict at work was 2.09 (1.60-2.74). The results provide a good starting point for intervention and prevention work.     

Social capital and social inequality in adolescents' health in 601 Flemish communities: a multilevel analysis

Although it is widely acknowledged that community social capital plays an important role in young people’s health, there is limited evidence on the effect of community social capital on the social gradient in child and adolescent health. Using data from the 2005–2006 Flemish (Belgium) Health Behavior among School-aged Children survey (601 communities, n = 10,915), this study investigated whether community social capital is an independent determinant of adolescents’ perceived health and well-being after taking account of individual compositional characteristics (e.g. the gender composition within a certain community). Multilevel statistical procedures were used to estimate neighborhood effects while controlling for individual level effects. Results show that individual level factors (such as family affluence and individual social capital) are positively related to perceived health and well-being and that community level social capital predicted health better than individual social capital. A significant complex interaction effect was found, such that the social gradient in perceived health and well-being (i.e. the slope of family affluence on health) was flattened in communities with a high level of community social capital. Furthermore it seems that socioeconomic status differences in perceived health and well-being substantially narrow in communities where a certain (average) level of community social capital is present. This should mean that individuals living in communities with a low level of community social capital especially benefit from an increase in community social capital. The paper substantiates the need to connect individual health to their meso socioeconomic context and this being intrinsically within a multilevel framework.     

Income inequality and health in Ontario: a multilevel analysis

OBJECTIVE: To examine the association of income inequality at the public health unit level with individual health status in Ontario. METHODS: Cross-sectional multilevel study carried out among subjects aged 25 years or older residing in 42 public health units in Ontario. Individual-level data drawn from 30,939 respondents in 1996-97 Ontario Health Survey. Median area income and income inequality (Gini coefficient) calculated from 1996 census. Self-rated health status (SRH) and Health Utilities Index (HUI-3) scores were used as main outcomes. RESULTS: Controlling for individual-level factors including income, respondents living in public health units in the highest tercile of income inequality had odds ratios of 1.20 (95% CI 1.04 - 1.38) for fair/poor self-rated health, and 1.11 (95% CI 1.01 - 1.22) for HUI score below the median, compared with people living in public health units in the lowest tercile. Controlling further for median area income had little effect on the association. CONCLUSION: Income inequality was significantly associated with individual self-reported health status at public health unit level in Ontario, independent of individual income.     

Health among hospital employees in Europe: a cross-national study of the impact of work stress and work control

This article analyses the effect of working conditions on the health of hospital employees across Europe. Hospital employees often have demanding jobs that increase their stress levels and, consequently, their risk of health problems. Work control - typified by employee autonomy and working time flexibility - helps them cope with high levels of work stress. Researchers have traditionally studied the relationship between working conditions, coping strategies and occupational health from an individual perspective. We argue that the individual work-health relationship is closely connected with the social and institutional context. This study explores how work stress and work control influence the health of hospital employees and aims to understand cross-country differences in this respect. Using data on over 1500 hospital employees who participated in the study 'Quality of work and life in a changing Europe' (2007) in eight European countries, we used ordinal regression analyses to test a range of hypotheses. The results show that work stress has a negative effect on the health of hospital employees, while work control is not found to have any effect on their health. Comparative analyses reveal that the effects of working conditions on health vary across European countries. While working overtime is more closely related to poorer health in Eastern European countries, we found evidence of a positive relationship between job autonomy and health in Western Europe only, indicating that circumstances in the working environment have differing effects on employee health in Eastern and Western Europe.     

Understanding maternal smoking during pregnancy: Does residential context matter?

The goal of this paper was to investigate whether or not the factors beyond individual characteristics were associated with maternal smoking during pregnancy. Social capital has been found to have both negative and positive implications for health behaviors, and this study attempted to understand its association with maternal smoking during pregnancy. Specifically, the association between county-level social capital and rurality and maternal smoking during pregnancy was investigated. In this study, Putman's definition of social capital was used (e.g., connections among individuals—social networks and the norms of reciprocity and trustworthiness that arise from them). The ecological dimension of rurality was used to define rurality, where rural areas are smaller in population size and are less densely populated when compared to non-rural areas. Using data for all women who gave birth during the year 2007 in the United States, we implemented a series of multilevel logistic regression models. The results showed that social capital was significantly associated with maternal smoking during pregnancy. Specifically, higher social capital in a county was associated with higher odds that women smoked during their pregnancy. However, in rural counties, higher social capital was associated with a decrease in the odds that a woman smoked during her pregnancy. A one unit increase in the social capital index was found to reduce the risk of smoking during pregnancy among those women living in rural counties by 11 percent. The results also showed that improvement of the socioeconomic status of the counties in which women live reduced the risk of maternal smoking during pregnancy. As this study found that factors beyond individual characteristics are important for reducing the risk that women smoked during pregnancy, county characteristics should be taken into account when developing policies focused on intervening maternal smoking during pregnancy.     

Social capital and sense of insecurity in the neighbourhood: a population-based multilevel analysis in Malmö, Sweden

The aim of this study was to investigate the influence of social capital on self-reported sense of insecurity in the neighbourhood. The public health survey in Malm?, Sweden in 1994 was a cross-sectional study. A total of 5600 individuals aged 20-80 years were asked to answer a postal questionnaire. The participation rate was 71%. A multilevel logistic regression model, with individuals at the first level and neighbourhoods at the second, was performed. We analysed the effect (intra-area correlation, cross-level modification and odds ratios) of individual (social participation) and neighbourhood social capital (electoral participation in the 1994 municipal election) on sense of insecurity after adjustment for compositional factors. Neighbourhood factors accounted for 7.2% of the total variance in individual insecurity. This effect was marginally reduced when the individual factors were included in the model. In contrast, it was reduced by 70% by the introduction of the contextual variable. This study suggests that social capital, measured as electoral participation, may partly explain the individual's sense of insecurity in the neighbourhood.     

Anxiolytic-hypnotic drug use associated with trust, social participation, and the miniaturization of community: a multilevel analysis

The concept of social capital has gained wide interest in public health research in recent years. However, we suggest a concept that was introduced and developed by Fukuyama, named "miniaturization of community", as an alternative to that of social capital. The concept of miniaturization of community emphasizes that a high level of social participation can be accompanied by a low level of trust, both at the individual and at the community level, which may in turn result in social disorder and lack of social cohesion. When society becomes more disordered, people may tend to feel more insecure and anxious. Use of anxiolytic-hypnotic drugs (AHDs) could under such circumstances be a coping strategy. In this study, we first wanted to investigate whether the contextual component of the miniaturization of community concept (i.e. area high social participation and low trust) is associated with individual AHD use, over and above individual characteristics. Secondly, we aimed to study whether people living in the same municipality share a similar probability of AHD use, after adjusting for individual characteristics, and if so, how large this contextual phenomenon is. We used data on 20,319 women and 17,850 men aged 18-79 years from 58 municipalities in six regions in central Sweden, who participated in the Life & Health year 2000 postal survey. We applied multilevel logistic regression analysis with individuals at the first level and areas at the second level. Our results suggest that living in an area with a high level of miniaturization of community seems to be associated with individual AHD use, beyond people's individual characteristics including their own level of social participation and trust. The concept of miniaturization of community may be an extension of the classic concept of social capital and may increase our understanding of contextual effects on health.