Association between childhood community safety interventions and hospital injury records: a multilevel study

STUDY OBJECTIVE: To study municipal variations in children's injury risk and to assess the impact of safety promotion measures in general municipal, preschool, school, and leisure activity settings, on injury outcome. DESIGN: A cohort study based on individual data on children's consumption of hospital care as a result of injury, the age and sex of each child, and socioeconomic data on each child's mother. Municipal characteristics-that is, population density and municipal safety measures-were also used. Connections between individual and community level determinants were analysed with multilevel logistic regression. SETTING: Twenty five municipalities in Stockholm County in Sweden were studied. PARTICIPANTS: Children between 1 and 15 years old in 25 municipalities in Stockholm County, identified in the Total Population Register in Sweden. The study base included 1 055 179 person years. MAIN RESULTS: Municipality injury rates varied between 3.84-7.69 per 1000 person years among 1-6 year olds and, between 0.86-6.18 among 7-15 year olds. Implementation of multiple safety measures in a municipality had a significant effect on the risk of injury for preschool children. In municipalities that implemented few safety measures, the risk of injury was 33% higher than in municipalities that implemented many. A similar effect, though insignificant, was observed in the school aged children. CONCLUSIONS: This study shows that how municipalities organise their safety activities affect injury rates. Sweden has a comparatively low injury rate and thus, in a European perspective, there is an obvious potential for municipal safety efforts.     

Individual social characteristics, municipal environment and the prevalence of weight problems in early childhood: a multilevel analysis

BACKGROUND: Few studies have examined the prevalence of weight problems before the age of 5 years although this period is critical in the development of obesity. An inverse association between socio-economic status and weight problems is well documented in adult women but not for young children. Similarly several studies of adults and adolescents or older children show that the prevalence of weight problems is associated with the level of deprivation of the neighbourhood environment and the degree of urbanization, independent of social individual factors, even though this has not been examined for young children. METHODS: We evaluated prevalence rates of weight problems in children aged 3.5-4.5 years in southeastern France and their association with both individual social factors and municipal environment characteristics. Random stratified cluster sampling allowed us to select 112 nursery schools. Physicians from the early childhood protective services conducted a mandatory medical examination and collected data with a new questionnaire (EVALMATER), developed to standardise these examinations. Overweight and obesity were defined by international references after calculation of each child's BMI (kg/m(2)). We constructed a social disadvantage index to assess characteristics of the municipalities where the nursery schools were located and used multilevel analysis to study the associations of municipal characteristics (the disadvantage index and a urban/rural classification of the municipalities) with weight problems independently of individual socio-economic variables. RESULTS: The study included 2495/2959 (84.3%) children, with a mean age of 3.9+/-0.3 years. The prevalence of overweight was 8.2% (CI95%=7.1-9.3) and that of obesity 2.1% (CI95%=1.5-2.7). Prevalence of obesity was significantly higher in girls, only children, those who had not attended day-care before nursery school, whose mother was not employed, or whose father was not a white-collar-worker. Independently of these variables, it was also significantly higher among children who lived in urban areas or deprived municipalities. None of these factors were found associated with overweight alone. CONCLUSION: Actions of prevention in France should target parents of young children.     

A tale of two continents: a multilevel comparison of the determinants of child nutritional status from selected African and Indian regions

This paper compares individual and household predictors of underweight among young children in sub-Saharan Africa and India, while also assessing the impact of clustering of weight for age z-scores at the household, community and regional levels. Multilevel statistical models are employed to compare the strength of the correlates of underweight (using weight-for-age z-scores) in six sub-Saharan African countries and four Indian states. The multilevel approach controls for correlation among children resulting from clustering within families, communities, or regions and in addition enables tests for differences in the regional, community and household effects for children from families of different socio-economic characteristics. Findings demonstrate the importance of individual and household level predictors such as age, the size of child at birth, prolonged breast-feeding, recent diarrhoea episodes, and maternal education as predictors of low weight-for-age z-scores across regions. Strong family effects are observed as well as significant community and regional random effects on variation in weight for age z-scores. In some regions, socio-economic characteristics of the household result in significant differences in the household or community level variance in weight for age z-scores, suggesting that the impact of the geographical context varies by socio-economic status of the household.     

Do income inequality and social capital associate with measles-containing vaccine coverage rate?

Objective

We investigated the association between income inequality and social capital with measles-containing vaccine (MCV) coverage rates in Japan.

Methods

MCV coverage data for all 1750 municipalities were collected from statistics publicized by the Ministry of Health, Labour and Welfare of Japan in 2010. Prefectural Gini coefficients in 2009 (an indicator of income inequality) and social capital indicators (including voting rates, volunteer rates at the prefectural level, and move-in ratios at the municipal level) were linked to MCV coverage using a multilevel analysis adjusting for covariates (population, age distribution, average income, average number of household members).

Results

Coverage of the first dose of MCV (MCV1), and second dose (MCV2), decreased by 3.98% (95% confidence interval [CI]: 0.26–7.71) and 4.28% (95% CI: 0.60–7.60) per each 0.1-unit increase in Gini coefficients within large municipalities (with a population 50,000 or more), respectively. Conversely, coverage of MCV2 increased by 0.26% (95% CI: 0.08–0.45) per 1% increase in voting rate within large municipalities. Volunteer rates were inversely associated with MCV2 coverage within large municipalities. Move-in ratios at the municipal level were inversely associated with MCV2 coverage within medium-sized municipalities (with a population between 10,000 and 50,000).

Conclusions

While higher income inequality at a prefectural level was associated with lower MCV coverage rates, higher social capital was associated with higher coverage in large municipalities. To enhance MCV coverage in Japan, we recommend that income inequality be addressed and social capital boosted at the prefectural level.     

Household and neighbourhood risks for injury to 5-14 year old children

Injuries in childhood are strongly related to poverty at the household level and to living in a deprived neighbourhood, but it is not clear whether these effects are independent. In this prospective population study, all injuries to 5-14 year old children living in the city of Norwich, UK, and presented at the hospital Accident and Emergency Department over a 13 month period were recorded (N=3526). Information on the population of resident children and household composition was assembled from the health authority population register. Neighbourhood information was extracted from the census and local surveys. Unadjusted risks were calculated for individual and neighbourhood factors, followed by multilevel modelling in which predictors were included at three levels: individual, enumeration district and social area (neighbourhood). The overall injury rate was 16.44 per 100 children per year. Injury rates between neighbourhoods varied two-fold and were highest in more deprived areas. In the final multilevel model injury risk was related to gender (boys vs. girls OR=1.35), age of child (OR=1.07 per year), number of adults in the household (OR=0.91 per adult), and age gap between child and eldest female (15-24 years vs. 25-34 years, OR=1.15). Injury rates were also related to social area deprivation, although variations in injury rates between neighbourhoods were not wholly explained by deprivation. The adjusted odds ratio between the most and least deprived social areas was 1.35. Excluding less serious injuries did not substantially change the results. The risks were very similar to those found in a previous study of pre-school children, with the same neighbourhoods identified as high and low risk as before. This evidence that neighbourhood factors independently influence injury risk over and above individual and household factors supports the use of area-based policies to reduce injuries in children.     

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.     

Individual factors explain neighbourhood variations in accidents to children under 5 years of age

Previous studies have identified possible neighbourhood-level influences on the risk of injuries to preschool children, but none have had sufficient data at both household and area level to explain these neighbourhood effects. We used data from the Avon Longitudinal Study of Parents and Children, which recruited over 14,062 children at birth in the former county of Avon, UK, and collected information about accidents, as well as extensive social, health and developmental data throughout the first 5 years of life. This information was combined with census and geographical data in order to identify neighbourhood influences on accident risks and then attempt to explain these using multilevel regression modelling. A small but statistically significant amount of between-neighbourhood variance in accident risk was found, with neighbourhood intraclass correlation coefficients of 0.82% for any accident, and 0.84% for accidents resulting in injury requiring medical attention. This was entirely accounted for by a variety of child, parental and household level variables. Independent risk factors for both outcomes were children who were developmentally more advanced or displayed greater conduct and behavioural problems, mothers who were of younger age, who were without work, who were smokers, whose partners were unemployed or drank alcohol excessively, and households in which there had recently been adverse life events, or which were under financial stress. The mother's perceptions of neighbourhood quality also explained some of the risks for any accident, but not for medically attended accidents, and this was a variable that operated at the level of individual households rather than at the level of neighbourhoods. The implications of this study are that differences in accident risk between neighbourhoods are explained by geographical clustering of similar types of children, families and households. Interventions should focus more on parental factors and household social circumstances than on the physical environment or community based risks. However, many of these factors are those most resistant to modification without broader societal change.     

Association between preventive care provided in public dental services and caries prevalence

OBJECTIVE: To assess the association between preventive care provided in public dental services and young people's oral health. METHODS: Oral health data on 4,033 young people aged 15 to 19 years living in 85 municipalities of the state of Rio Grande do Sul, Southern Brazil, were obtained from the national oral health survey "Saúde Bucal Brasil 2003" for the period 2002-2003. The following variables were studied: age, gender, income, education, time elapsed since last dental visit, reason for dental visit, and water fluoridation. Data on dental care services were obtained from the national database of public health services. Statistical analysis was performed using multilevel logistic regression. RESULTS: Youngsters from the 21 municipalities with the lowest preventive care (scaling + fluoride + sealants) rates per 100 inhabitants were 2.27 (95% CI: 1.45;3.56) more likely to have non-filled dental cavities than those from the 21 municipalities with the highest care rates. After adjustment for a number of individual and contextual factors this likelihood decreased to 1.76 (95% CI: 1.13;2.72). The variance attributable to variables at municipal level was 14.1% for the empty model and decreased to 10.5% for the fully adjusted model. CONCLUSIONS: Rio Grande do Sul public dental services may have contributed for the reduction in the number of non-filled cavities in young people. However, it was not possible to detect the impact of this service on total dental caries experience.     

Average household income, crime, and smoking behaviour in a local area: the Finnish 10-Town study

Social environments, like neighbourhoods, are increasingly recognised as determinants of health. While several studies have reported an association of low neighbourhood socio-economic status with morbidity, mortality and health risk behaviour, little is known of the health effects of neighbourhood crime rates. Using the ongoing 10-Town study in Finland, we examined the relations of average household income and crime rate measured at the local area level, with smoking status and intensity by linking census data of local area characteristics from 181 postal zip codes to survey responses to smoking behaviour in a cohort of 23,008 municipal employees. Gender-stratified multilevel analyses adjusted for age and individual occupational status revealed an association between low local area income rate and current smoking. High local area crime rate was also associated with current smoking. Both local area characteristics were strongly associated with smoking intensity. Among ever-smokers, being an ex-smoker was less likely among residents in areas with low average household income and a high crime rate. In the fully adjusted model, the association between local area income and smoking behaviour among women was substantially explained by the area-level crime rate. This study extends our knowledge of potential pathways through which social environmental factors may affect health.     

Determinants of immunization status of children under two years old in Sumatera,Indonesia: A multilevel analysis of the 2020 Indonesia National Socio-Economic Survey

BackgroundThe success of a basic immunization program among children has been known as the cheapest and most effective approach in improving child survival against preventable diseases. This study aims to examine the determinant factors at the individual and contextual level that affect the provision of complete basic immunization for children aged 12–23 months in Sumatra, Indonesia.MethodsUsing the 2020 Indonesia National Socio-Economic Survey (SUSENAS) data, a multilevel binary logistic regression model was developed at the individual level and the regency/municipality level as the first and second level of analysis respectively.ResultsThere are 30.8% of children aged 12–23 months who received complete basic immunization in Sumatra. Meanwhile, there are still 10.3% of children who did not receive basic immunization at all. The place of residence, mother's education, mother’s employment status, and place of delivery had a positive and significant effect on completeness of basic immunization for children, while the health facilities/100,000 population had a negative and significant effect on completeness of basic immunization for children which may correlate to the inequality of health facilities distribution in Sumatra.ConclusionThe difference in characteristics between regencies/municipalities in Sumatra, Indonesia can be explained by 18.90% of the variation in the coverage of basic immunization completeness for children aged 12–23 months in Sumatra. The Indonesian government and related institutions can further improve the distribution of health workers and adequate health facilities to cover remote areas.     

Evaluation of the impact of a nutritional program for undernourished children in Brazil

To assess the effectiveness on child growth and body composition of a supplementary feeding program (Milk Supplement Program), a prospective, controlled study was conducted in Northeast Brazil. When entering the Program, children from 10 municipalities with the highest coverage rates in the Program (intervention group) were compared to non-beneficiary children from 10 municipalities with the lowest coverage rates (control group). A total of 219 children aged 6-18 months were enrolled. At entry, both groups were comparable in terms of age, sex, and nutritional status. There were frequent gaps in delivery of the supplement, no extra milk was provided to siblings less than 5 years of age, intra-household redistribution of milk was high, and maternal compliance with recommendations was low. Adjusted analyses by multilevel modelling showed average changes in weight, length, weight-age and length-age Z-scores, and % body water (deuterium method), at 6 months, of 1.53 kg, 6.34 cm, 0.33, 0.05, and 1.11% respectively among supplemented children as compared to 1.54 kg, 6.5 cm, 0.26, 0.07, and 4.10% among controls, with no statistically significant difference between groups. Thus, the Program failed to compensate for nutritional deficiencies in undernourished children in Northeast Brazil.     

Variations in infant mortality rates among municipalities in the state of Ceará, Northeast Brazil: an ecological analysis.

BACKGROUND: Infant mortality rates vary substantially among municipalities in the State of Ceará, from 14 to 193 per 1000 live births. Identification of the determinants of these differences can be of particular importance to infant health policy and programmes in Brazil where local governments play a pivotal role in providing primary health care. METHODS: Ecological study across 140 municipalities in the State of Ceará, Brazil. RESULTS: To determine the interrelationships between potential predictors of infant mortality, we classified 11 variables into proximate determinants (adequate weight gain and exclusively breastfeeding), health services variables (prenatal care up-to-date, participation in growth monitoring, immunization up-to-date, and decentralization of health services), and socioeconomic factors (female literacy rate, household income, adequate water supply, adequate sanitation, and per capita gross municipality product), and included the variables in each group simultaneously in linear regression models. In these analyses, only one of the proximate determinants (exclusively breastfeeding (inversely), R2 = 9.3) and one of the health services variables (prenatal care up-to-date (inversely), R2 = 22.8) remained significantly associated with infant mortality. In contrast, female literacy rate (inversely), household income (directly) and per capita GMP (inversely) were independently associated with the infant mortality rate (for the model including the three variables R2 = 25.2). Finally, we considered simultaneously the variables from each group, and selected a model that explained 41% of the variation in infant mortality rates between municipalities. The paradoxical direct association between household income and infant mortality was present only in models including female illiteracy rate, and suggests that among these municipalities, increases in income unaccompanied by improvements in female education may not substantially reduce infant mortality. The lack of independent associations between inadequate sanitation and infant mortality rates may be due to the uniformly poor level of this indicator across municipalities and provides no evidence against its critical role in child survival. CONCLUSIONS: These results suggest that promotion of exclusive breastfeeding and increased prenatal care utilization, as well as investments in female education would have substantial positive effects in further reducing infant mortality rates in the State of Ceará.     

Association between chlorination of drinking water and adverse pregnancy outcome in Taiwan

Chlorination has been the major means of disinfecting drinking water in Taiwan. The use of chlorinated water has been hypothesized to lead to several adverse birth outcomes, including low birth weight and preterm delivery. We performed a study to examine the relationship between the use of chlorinated water and adverse birth outcomes in Taiwan. The study areas included 14 chlorinating municipalities (CHMs), which were defined as municipalities in which > 90% of the municipal population was served by chlorinated water, and 14 matched nonchlorinating municipalities (NCHMs), defined as municipalities in which < 5% of the municipal population is served by chlorinated water. The CHMs and NCHMs were similar to one another in terms of level of urbanization and sociodemographic characteristics. The study population comprised 18,025 women residing in the 28 municipalities who had a first parity singleton birth between 1 January 1994 and 31 December 1996 and for which complete information on maternal age, education, gestational age, birth weight, and sex of the baby were available. The results of our study suggest that there was no association between consumption of chlorinated drinking water and the risk of low birth weight.     

The individual and contextual pathways between oral health and income inequality in Brazilian adolescents and adults

We evaluate the association between income inequality (Gini index) and oral health and in particular the role of alternative models in explaining this association. We also studied whether or not income at the individual level modifies the Gini effect. We used data from an oral health survey in Brazil in 2002–2003. Our analysis included 23,568 15–19 and 22,839 35–44 year-olds nested in 330 municipalities. Different models were fitted using multilevel analysis. The outcomes analysed were the number of untreated dental caries (count), having at least one missing tooth (dichotomous) and being edentulous (dichotomous). To assess interaction as a departure from additivity we used the Synergy Index. For this, we dichotomized the Gini coefficient (high vs low inequality) by the median value across municipalities and the individual income in the point beyond which it showed roughly no association with oral health. Adjusted rate ratio of mean untreated dental caries, respectively for the 15–19 and 35–44 age groups, was 1.12 and 1.16 for each 10 points increase in Gini scale. Adjusted odds ratio of a 15–19 year-old having at least one missing tooth or a 35–44 year-old being edentulous was, respectively, 1.19 and 1.01. High income inequality had no statistically significant synergistic effect with being poor or living in a poor municipality. Higher levels of income inequality at the municipal level were associated with worse oral health and there was an unexplained residual effect after controlling for potential confoundings and mediators. Municipal level income inequality had a similar, detrimental effect, among individuals with lower or higher income.     

Spatial Accessibility to Pediatric Services

The objective of this study was to assess spatial accessibility (SA) to pediatric healthcare services at hospitals in Chiba Prefecture, Japan in 2006. We considered the distribution of general pediatricians and neonatologists relative to the geographical distribution of children using the two-step floating catchment area method, which accounts for the pediatrician-to-children ratios within catchment areas with defined travel distance (TD) thresholds. All measurements were carried out within a geographic information system. We found varied growth rate trends of children within the 61 municipalities of Chiba Prefecture between 1995 and 2006. The eastern and southern areas of the prefecture were less populated and had a small number of children in contrast to the central and northwestern areas, which had higher density of child population, less negative growth rates and even positive growth rate trends in some municipalities. For neonatology services, we used the number of live births (LB) and low birth weight (LBW) infants as populations. Lower LBW rates were found within the northern area while higher LBW rates were found within the southern area (minimum, 3.1%; maximum, 18.4%). The average LBW rate was 9.0% in Chiba Prefecture, whereas it was 9.5% for all Japan in 2005. SA analysis showed that 98.8% of children distributed within a 10 km TD threshold from a hospital with general pediatric services, and that 82.3% of LB and LBW distributed within a 30 km TD threshold from a hospital with neonatology services. The distribution of pediatricians relative to the population they serve was not homogeneous at local level. Through the methodology applied, we visualized areas short of pediatric services. The assessment of SA at local level provided informative results to achieve social equity in hospital access. The practical implications of this study are the need for reliable data for research purposes and policy development for children.     

Relationship between health services, socioeconomic variables and inadequate weight gain among Brazilian children

This ecological analysis assessed the relative contribution of behavioural, health services and socioeconomic variables to inadequate weight gain in infants (0-11 months) and children (12-23 months) in 140 municipalities in the State of Ceara, north-east Brazil. To assess the total effect of selected variables, we fitted three unique sets of multivariate linear regression models to the prevalence of inadequate weight gain in infants and in children. The final predictive models included variables from the three sets. Findings showed that participation in growth monitoring and urbanization were inversely and significantly associated with the prevalence of inadequate weight gain in infants, accounting for 38.3% of the variation. Female illiteracy rate, participation in growth monitoring and degree of urbanization were all positively associated with prevalence of inadequate weight gain in children. Together, these factors explained 25.6% of the variation. Our results suggest that efforts to reduce the average municipality-specific female illiteracy rate, in combination with participation in growth monitoring, may be effective in reducing municipality-level prevalence of inadequate weight gain in infants and children in Ceara.     

Community-level socioeconomic status and parental smoking in Japan

Community-level social environment has been considered to be associated with smoking behavior. However, no study has examined the association between community-level environmental factors and parental smoking behavior in families with young children. The aim of the present study was to examine the association between community-level socioeconomic status (SES) and parental smoking behavior. We used data from a cross-sectional study conducted from 2005 to 2006. We randomly selected 44 Japanese municipalities, 39 of which municipalities agreed to participate in this survey. The study subjects were participants in health check-ups for three-year-old children. Smoking status and individual demographic characteristics were obtained using self-administered questionnaires. Community-level variables were obtained from national census data for 2005. The prevalence of employment in tertiary industries and of unemployment was used to measure community-level SES. Multilevel Poisson regression models were used to calculate prevalence ratios (PRs) for smoking. Of 4143 subjects, a total of 3301 parents in 39 municipalities participated in our survey. Among the 2975 participants (71.8%) included in our analysis, 59.0% were smokers. There was no association between the job of the head of the household considered as an indicator of individual-level SES and smoking. By contrast, when we examined the relationship between prevalence of employment in tertiary industries as community-level SES and smoking, parents living in low middle SES municipalities had a significantly higher prevalence ratio for smoking, compared to parents living in the highest SES municipalities. This result suggested that those with lower community-level SES tended to have a higher prevalence of parental smoking regardless of individual-level SES.     

The association between contextual socioeconomic factors and prevalent asthma in a cohort of Southern California school children

Spatial variation in childhood asthma and a recent increase in prevalence indicate that environmental factors play a significant role in the etiology of this important disease. Socioeconomic position (SEP) has been associated inversely and positively with childhood asthma. These contradictory results indicate a need for systematic research about SEP and asthma. Pathways have been suggested for effects of SEP on asthma at both the individual and community level. We examined the relationship of prevalent asthma to community-level indicators of SEP among 5762 children in 12 Southern California communities, using a multilevel random effects model. Estimates of community-level SEP were derived by summarizing census block group-level data using a novel method of weighting by the proportion of the block groups included in a community-specific bounding rectangle that contained 95% of local study subjects. Community characteristics included measures of male unemployment, household income, low education (i.e., no high school diploma) and poverty. There was a consistent inverse association between male unemployment and asthma across the inter-quartile range of community unemployment rates, indicating that asthma rates increase as community SEP increases. The results were robust to individual-level confounding, methods for summarizing census block group data to the community level, scale of analysis (i.e., community-level vs. neighborhood-level) and the modeling algorithm. The positive association between SEP and prevalent childhood asthma might be explained by differential access to medical care that remains unmeasured, by the hygiene hypothesis (e.g., lower SES may associate with higher protective exposures to endotoxin in early life), or by SEP acting as a proxy for unmeasured neighborhood characteristics.     

Geographic variation in the prevalence of common mental disorders in Britain: a multilevel investigation

It is still not known whether the places that people live affect their mental health. The principal aim of this 1991 study was to quantify simultaneously variance in the prevalence of the most common mental disorders, anxiety and depression, in Britain at the individual, household, and electoral ward levels. Data from a cross-sectional, nationally representative survey of 8,979 adults aged 16-74 years living in private households nested within 642 electoral wards in England, Wales, and Scotland were analyzed by using multilevel logistic and linear regression. Common mental disorders were assessed by using the General Health Questionnaire. Less than 1% of the total variance in General Health Questionnaire scores occurred at the ward level. This variance was further reduced and was no longer statistically significant after adjustment for characteristics of persons. By contrast, the proportion of total variance at the household level (14.4%, 95% confidence interval: 11.4, 17.5 in the null model) (p < 0.001) was statistically significant and remained so after adjustment for individual- and household-level exposures. While these findings suggest that future interventions should target persons and households rather than places, further research is first required to establish whether other (particularly smaller) areas lead to similar results.     

Income inequality and psychological distress at neighbourhood and municipality level: An analysis in the Netherlands

This study examines the associations between income inequality at neighbourhood and municipality level and psychological distress in a country with a relatively low income inequality, the Netherlands. Multilevel linear regression analyses were used to investigate associations between income inequality and mean income at the neighbourhood (n = 7803) and municipality (n = 406) level and psychological distress (scale range 10–50), in a country-wide sample of 343,327 individuals, adjusted for gender, age, ethnicity, marital status, education and household income. No significant association was found between neighbourhood income inequality and psychological distress after adjustment for individual and neighbourhood level confounding. However, a higher neighbourhood income inequality in neighbourhoods with the middle to highest mean neighbourhood incomes was associated with more psychological distress. Individuals living in municipalities with the highest income inequality reported 2.5% higher psychological distress compared to those living in municipalities with the lowest income inequality. Income inequality seems to matter more for mental health at the municipality than neighbourhood level.