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.     

Individual and contextual determinants of self-reported poor psychological health: a population-based multilevel analysis in southern Sweden

OBJECTIVE: To investigate the influence of contextual and individual factors on self-reported psychological health. DESIGN/SETTING/PARTICIPANTS/MEASUREMENTS: The 2000 public health survey in Scania is a cross-sectional postal questionnaire study with a 59% participation rate. A total of 13,715 persons aged 18-80 answered the questionnaire. A multilevel logistic regression model, with individuals at the first level and municipalities/city quarters at the second, was performed. The effect (intra-class correlation, cross-level modification, and odds ratios) of individual and municipality/city quarter factors on self-reported psychological health was analysed. RESULTS: The crude variance between municipalities/city quarters was small but significant. It was particularly affected and lowered by individual civil status, country of origin, economic stress, and social participation. The inclusion of all individual factors age, sex, civil status, country of origin, education, economic stress, and social participation lowered the between municipality variance to not-significant levels, which is the reason why no contextual variables were included in the calculations. CONCLUSIONS: The results of this study suggest that poor self-reported psychological health is affected mainly by individual characteristics of the population and not by contextual factors at the municipality/city quarter level.     

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.     

Perceptions of social capital and the built environment and mental health

There has been much speculation about a possible association between the social and built environment and health, but the empirical evidence is still elusive. The social and built environments are best seen as contextual concepts but they are usually estimated as an aggregation of individual compositional measures, such as perceptions on trust or the desirability to live in an area. If these aggregated compositional measures were valid measures, one would expect that they would evince correlations at higher levels of data collection (e.g., neighbourhood). The aims of this paper are: (1) to investigate the factor structure of a self-administered questionnaire measuring individual perceptions of trust, social participation, social cohesion, social control, and the built environment; (2) to investigate variation in these factors at higher than the individual level (households and postcodes) in order to assess if these constructs reflect some contextual effect; and (3) to study the association between mental health, as measured by the General Health Questionnaire-12 (GHQ-12), and these derived factors. A cross-sectional household survey was undertaken during May-August 2001 in a district of South Wales with a population of 140,000. We found that factor analysis grouped our questions in factors similar to the theoretical ones we had previously envisaged. We also found that approximately one-third of the variance for neighbourhood quality and 10% for social control was explained at postcode (neighbourhood) level after adjusting for individual variables, thus suggesting that some of our compositional measures capture contextual characteristics of the built and social environment. After adjusting for individual variables, trust and social cohesion, two key social capital components were the only factors to show statistically significant associations with GHQ-12 scores. However, these factors also showed little variation at postcode levels, suggesting a stronger individual determination. We conclude that our results provide some evidence in support of an association between mental health (GHQ-12 scores) and perceptions of social capital, but less support for the contextual nature of social capital.     

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.     

Social capital and self-rated health: a contextual analysis.

OBJECTIVES: Social capital consists of features of social organization--such as trust between citizens, norms of reciprocity, and group membership--that facilitate collective action. This article reports a contextual analysis of social capital and individual self-rated health, with adjustment for individual household income, health behaviors, and other covariates. METHODS: Self-rated health ("Is your overall health excellent, very good, good, fair, or poor?") was assessed among 167,259 individuals residing in 39 US states, sampled by the Behavioral Risk Factor Surveillance System. Social capital indicators, aggregated to the state level, were obtained from the General Social Surveys. RESULTS: Individual-level factors (e.g., low income, low education, smoking) were strongly associated with self-rated poor health. However, even after adjustment for these proximal variables, a contextual effect of low social capital on risk of self-rated poor health was found. For example, the odds ratio for fair or poor health associated with living in areas with the lowest levels of social trust was 1.41 (95% confidence interval = 1.33, 1.50) compared with living in high-trust states. CONCLUSIONS: These results extend previous findings on the health advantages stemming from social capital.     

Contextual social capital as a risk factor for poor self-rated health: a multilevel analysis

In this study, we critically examine whether contextual social capital (CSC) is associated with self-rated health, with an emphasis on the problem of confounding. We also examine different components of CSC and their association with self-rated health. Finally, we look at differences in susceptibility between different socio-demographic groups. We use the cross-sectional base line study of the Stockholm Public Health Cohort, conducted in 2002. A postal questionnaire was answered by 31,182 randomly selected citizens, 18-84 years old, in Stockholm County. We used four measures of social capital: horizontal (civic trust and participation), vertical (political trust and participation), cognitive (civic and political trust) and structural (civic and political participation). CSC was measured at parish level from aggregated individual data, and multilevel regression procedures were employed. We show a twofold greater risk of poor self-rated health in areas with very low CSC compared with areas with very high CSC. Adjustments for individual socio-demographic factors, contextual economic factors and individual social capital lowered the excess risk. Simultaneous adjustment for all three forms of confounding further weakened the association and rendered it insignificant. Cognitive and structural social capital show relatively similar associations with self-rated health, while horizontal CSC seems to be more strongly related to self-rated health than vertical CSC. In conclusion, whether there is none or a moderate association between CSC and self-rated health, depends on the extent to which individual social capital is seen as a mediator or confounder. The association with self-rated health is similar independent of the measure of CSC used. It is also similar in different socio-demographic groups.     

Social capital and leisure time physical activity: a population based multilevel analysis in Malmö, Sweden

Objective: To investigate the influence of social capital and individual factors on the level of leisure time physical inactivity in the neighbourhoods. Methods: The public health survey in Malmö 1994 is a cross sectional study. A total of 5600 people aged 20–80 years were invited 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. The effect (intra-area correlation, cross level modification, and odds ratios) was analysed of individual and neighbourhood (the 1993 migration out of an area as a proxy for social capital) factors on leisure time physical inactivity after adjustment for individual factors. Results: Neighbourhood factors accounted for 5.0% of the crude total variance in physical inactivity. This effect was significantly reduced when the individual factors, especially country of origin, education, and social participation, were included in the model. In contrast, it was not reduced by the introduction of the contextual social capital variable. Conclusion: This study suggests that in the neighbourhoods of Malmö leisure time physical inactivity is mainly affected by individual factors.     

Individual and neighbourhood determinants of social participation and social capital: a multilevel analysis of the city of Malmö, Sweden

The aim of this study was to analyse the impact of neighbourhood on individual social capital (measured as social participation). The study population consisted of 14,390 individuals aged 45–73 that participated in the Malmö diet and cancer study in 1992–1994, residing in 90 neighbourhoods of Malmö, Sweden (population 250,000). A multilevel logistic regression model, with individuals at the first level and neighbourhoods at the second level, was performed. The study analysed the effect (intra-area correlation and cross-level modification) of the neighbourhood on individual social capital after adjustment for compositional factors (e.g. age, sex, educational level, occupational status, disability pension, living alone, sick leave, unemployment) and, finally, one contextual migration factor. The prevalence of low social participation varied from 23.0% to 39.7% in the first and third neighbourhood quartiles, respectively. Neighbourhood factors accounted for 6.3% of the total variance in social participation, and this effect was reduced but not eliminated when adjusting for all studied variables (−73%), especially the occupational composition of the neighbourhoods (−58%). The contextual migration variable further reduced the variance in social participation at the neighbourhood level to some extent. Our study supports Putnam's notion that social capital, which is suggested to be an important factor for population health and possibly for health equity, is an aspect that is partly contextual in its nature.     

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.     

Self-rated health and social capital in transitional countries: Multilevel analysis of comparative surveys in Armenia, Azerbaijan, and Georgia

The objective of this study is to analyze the effect of social capital on self-rated health in transitional countries of the South Caucasus region. The study is based on recent, 2009, cross-sectional nationally-representative surveys of 2082 respondents in Armenia, 2014 in Azerbaijan, and 1837 in Georgia with response rate of 78-80%. Two-level random-coefficient ordered logistic regression, modeling individual and community variations in subjective health was estimated to account for the hierarchical structure of the data set which includes individuals nested within communities. The results allow several interesting conclusions to be drawn. First, a proportion of the total variation in self-rated health explained at the community level is 0.23 for Azerbaijan, 0.10 for Georgia, and 0.08 for Armenia. These findings highlight the importance of more decentralized community-based healthcare interventions in the region. Second, human capital covariates remained significant predictors of health status even after controlling for social capital both at individual and community levels. Likewise, social capital variables are significant predictors of health status when used alone and when they are controlled by human capital covariates. These findings suggest that human capital and social capital influence health status independently of each other. Finally, this study sheds light on whether social capital collectively benefits members of a community in transitional countries beyond the individual benefits. In Armenia and Azerbaijan, community level differences in health status are rooted in "compositional" differences between social capital of individuals in the communities rather than at the community "contextual" level. In Georgia, by contrast, the beneficial effect of social capital can be simultaneously observed at the individual "compositional", and community "contextual" levels. These findings suggest that neither "compositional" nor "contextual" models of the social capital effect of health status can apply to all transitional societies universally.     

Individual and neighbourhood determinants of social participation and social capital: a multilevel analysis of the city of Malmö, Sweden

The aim of this study was to analyse the impact of neighbourhood on individual social capital (measured as social participation). The study population consisted of 14,390 individuals aged 45-73 that participated in the Malm? diet and cancer study in 1992-1994, residing in 90 neighbourhoods of Malm?, Sweden (population 250,000). A multilevel logistic regression model, with individuals at the first level and neighbourhoods at the second level, was performed. The study analysed the effect (intra-area correlation and cross-level modification) of the neighbourhood on individual social capital after adjustment for compositional factors (e.g. age, sex, educational level, occupational status, disability pension, living alone, sick leave, unemployment) and, finally, one contextual migration factor. The prevalence of low social participation varied from 23.0% to 39.7% in the first and third neighbourhood quartiles, respectively. Neighbourhood factors accounted for 6.3% of the total variance in social participation, and this effect was reduced but not eliminated when adjusting for all studied variables (-73%), especially the occupational composition of the neighbourhoods (-58%). The contextual migration variable further reduced the variance in social participation at the neighbourhood level to some extent. Our study supports Putnam's notion that social capital, which is suggested to be an important factor for population health and possibly for health equity, is an aspect that is partly contextual in its nature.     

Ethnic differences in self-reported lack of access to a regular doctor: a population-based study

Objective: The aim of this study was to investigate ethnic differences in self-reported lack of access to a regular doctor in Malmö, Sweden. Design: The public health survey in Malmö 1994 was a cross sectional population study. Data were collected from 5600 people aged 20-80 years using a postal questionnaire. The participation rate was 71%. The population was categorised according to country of birth: born in Sweden, other Nordic countries, other Western countries, Yugoslavia, Eastern Europe, Arabic speaking countries and other countries. Multivariate logistic regression analysis was performed in order to investigate the importance of possible confounders on the differences by country of origin in lack of access to a regular doctor. Results: A 56.3% proportion of all men and 48.8% of all women lacked access to a regular doctor. The odds ratios of lacking access were significantly higher among men born in Nordic countries, Arabic countries and other countries compared to men born in Sweden but disappeared after adjustment for age. The same patterns were observed for women born in Eastern Europe, Arabic countries and other countries compared to women born in Sweden, and remained after adjustment for age. In the multivariate analysis including age, education, ability to pay bills every month and self-reported health, no significant differences in lack of access to a regular doctor remained among men, while the odds ratios were significantly lower among women born in other Western countries, but still significantly higher among women born in Arabic speaking countries and all other countries. Conclusion: Self-reported lack of access to a regular doctor was significantly higher among men born in Nordic countries, Arabic countries and other countries compared to men born in Sweden, but all these differences disappeared after adjument for age and in the multivariate analysis. Women born in Arabic speaking countries and other countries lacked access to a regular doctor to a significantly higher extent compared with women born in Sweden, and these differences remained in the multivariate analysis.     

Study of the factors associated with the inability to perform household tasks among aged persons on the Ile-de-France. Application to the sub-regional planning of home-help services

The aim of this paper is to present the preliminary results of a planning project in the area of health and social services for the elderly, which makes it possible to estimate the number of persons likely to seek help from such services at the administrative area levels with decisional powers. This involves identifying predictors of disability from raw data routinely available in the census and at various administrative area levels, the municipality being the preferred level. From the epidemiological data collected at the regional level, an indicator of disability has been constructed. Initially, those factors possibly associated with disabilities were identified by regrouping the variables in four dimensions (discriminant analysis): socio-economic, physical environment, human environment, local administrative area environment (district data from census, medical-social services offered in the area, ect.). Subsequently, a logistic regression made it feasible to calculate the coefficients attached to these predictors of disability. In our sample, sex, age and level of housing amenities in the dwelling place appear to be predictors of disability. The application of the coefficients obtained at the region level--by means of an epidemiological approach to distributions by sex, age and dwelling amenities characterizing a municipality or group of municipalities (territorial approach)--enabled us to estimate the number of persons 65 and over likely to seek help from home-assistance services at whatever administrative area level chosen. In certain of its quantitative aspects, this mixed approach (individual and area) helps in determining need, the first step in the planning process.     

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.     

Social capital at work as a predictor of employee health: multilevel evidence from work units in Finland

The majority of previous research on social capital and health is limited to social capital in residential neighborhoods and communities. Using data from the Finnish 10-Town study we examined social capital at work as a predictor of health in a cohort of 9524 initially healthy local government employees in 1522 work units, who did not change their work unit between 2000 and 2004 and responded to surveys measuring social capital at work and health at both time-points. We used a validated tool to measure social capital with perceptions at the individual level and with co-workers' responses at the work unit level. According to multilevel modeling, a contextual effect of work unit social capital on self-rated health was not accounted for by the individual's socio-demographic characteristics or lifestyle. The odds for health impairment were 1.27 times higher for employees who constantly worked in units with low social capital than for those with constantly high work unit social capital. Corresponding odds ratios for low and declining individual-level social capital varied between 1.56 and 1.78. Increasing levels of individual social capital were associated with sustained good health. In conclusion, this longitudinal multilevel study provides support for the hypothesis that exposure to low social capital at work may be detrimental to the health of employees.     

How context matters: Demonstrating microgeographical differences in social capital and its implications for mental wellbeing in pregnancy with a novel bubble diagram technique

There has been limited exploration of social capital at the contextual level in relation to maternal health, and in particular with the “obstetric transition” and associated mental health problems. In the North Central Province of Sri Lanka, with socio-culturally diverse communities, and a recent history of major conflict, the leading cause of maternal death is suicide. The objective of this study was to identify contextual patterns of social capital constructs that lead to poor maternal mental wellbeing, using a novel bubble visualisation technique, to demonstrate the use of data derived from qualitative approaches. We conducted a qualitative study of pregnant women based on diary entries (n = 41) and interviews (n = 38) in eight different communities of the Anuradhapura district of Sri Lanka. Bubble diagrams were constructed to visualize each context using the frequency and weight of responses given in diaries. Marital, family and neighbourhood cohesion were not homogenous in the district and the bubble diagrams displayed clear microgeographical patterns in which women living in specific communities had poorer mental wellbeing. Such techniques can be used to convey complex social capital implications in digestible way for policy makers and planners to enact locally specific strategies addressing health inequalities.     

Neighborhood social capital and crime victimization: Comparison of spatial regression analysis and hierarchical regression analysis

Crime is an important determinant of public health outcomes, including quality of life, mental well-being, and health behavior. A body of research has documented the association between community social capital and crime victimization. The association between social capital and crime victimization has been examined at multiple levels of spatial aggregation, ranging from entire countries, to states, metropolitan areas, counties, and neighborhoods. In multilevel analysis, the spatial boundaries at level 2 are most often drawn from administrative boundaries (e.g. Census tracts in the U.S.). One problem with adopting administrative definitions of neighborhoods is that it ignores spatial spillover. We conducted a study of social capital and crime victimization in one ward of Tokyo city, using a Spatial Durbin Model with an inverse-distance weighting matrix that assigned each respondent a unique level of "exposure" to social capital based on all other residents' perceptions. The study is based on a postal questionnaire sent to 20-69 years old residents of Arakawa Ward, Tokyo. The response rate was 43.7%. We examined the contextual influence of generalized trust, perceptions of reciprocity, two types of social network variables, as well as two principal components of social capital (constructed from the above four variables). Our outcome measure was self-reported crime victimization in the last five years. In the Spatial Durbin Model, we found that neighborhood generalized trust, reciprocity, supportive networks and two principal components of social capital were each inversely associated with crime victimization. By contrast, a multilevel regression performed with the same data (using administrative neighborhood boundaries) found generally null associations between neighborhood social capital and crime. Spatial regression methods may be more appropriate for investigating the contextual influence of social capital in homogeneous cultural settings such as Japan.     

Hispanic-Asian Immigrant Inequality in Perceived Medical Need and Access to Regular Physician Care

In the face of continuing large immigrant streams, Hispanic and Asian immigrants’ human and social capital inequalities will heighten U.S. race/ethnic health and health care disparities. Using data from the 2004 and 2008 panels of the Survey of Income and Program Participation, this study assessed Hispanic-Asian immigrant disparity in access to health care, measured by perceived medical need and regular access to a physician. Logistic regression results indicated that Hispanics had lower perceived met medical need and were less likely to see a doctor regularly. These disparities were significantly attenuated by education and health insurance. Assimilation-related characteristics were significantly associated with a regular doctor visit and were not fully mediated by socioeconomic variables. Findings indicate the importance of education above and beyond insurance coverage for access to health care and suggest the potential for public health efforts to improve preventive care among immigrants.     

Bringing the individual back to small-area variation studies: A multilevel analysis of all-cause mortality in Andalusia, Spain

We performed a multilevel analysis (including individuals, households, census tracts, municipalities and provinces) on a 10% sample (N=230,978) from the Longitudinal Database of the Andalusian Population (LDAP). We aimed to investigate place effects on 8-year individual mortality risk. Moreover, besides calculating association (yielding odds ratios, ORs) between area socio-economic circumstances and individual risk, we wanted to estimate variance and clustering using the variance partition coefficient (VPC). We explicitly proclaim the relevance of considering general contextual effects (i.e. the degree to which the context, as a whole, affects individual variance in mortality risk) under at least two circumstances. The first of these concerns the interpretation of specific contextual effects (i.e. the association between a particular area characteristic and individual risk) obtained from multilevel regression analyses. The second involves the interpretation of geographical variance obtained from classic ecological spatial analyses. The so-called "ecological fallacy" apart, the lack of individual-level information renders geographical variance unrelated to the total individual variation and, therefore, difficult to interpret. Finally, we stress the importance of considering the familial household in multilevel analyses. We observed an association between percentage of people with a low educational level in the census tract and individual mortality risk (OR, highest v. lowest quintile=1.14; 95% confidence interval, CI 1.08-1.20). However, only a minor proportion of the total individual variance in the probability of dying was at the municipality (M) and census tract (CT) levels (VPC(M)=0.2% and VPC(CT)=0.3%). Conversely, the household (H) level appeared much more relevant (VPC(H)=18.6%) than the administrative geographical areas. Without considering general contextual effects, both multilevel analyses of specific contextual effects and ecological studies of small-area variation may provide a misleading picture that overstates the role of administrative areas as contextual determinants of individual differences in mortality.