Health-related behaviours mediate the relation between ethnicity and (mental) health in the Netherlands.

OBJECTIVE: Ethnic minorities in the Netherlands experience worse (mental) health than Dutch natives. So far, socioeconomic factors, discrimination, and the migration process have been identified as underlying factors, neglecting the potential role of health-related behaviours. This study investigates the mediating effect of lack of physical activity, smoking and alcohol consumption on ethnic inequalities in (mental) health in the Netherlands. DESIGN: Data from a municipal health survey (2012) in the four largest cities in the Netherlands, including 15,633 Dutch natives, 1,297 Surinamese, 850 Turks and 779 Moroccans were analysed. Mediation analyses were performed on the associations between ethnicity and psychological distress (range 10-50) and self-rated health (range 1-5). RESULTS: Being from an ethnic minority was associated with higher distress and poorer self-rated health, especially for Turks (higher distress 4.69, 95%CI 4.22-5.16; poorer health 0.35, 95%CI 0.30-0.40). Moroccans and Turks were the least physically active, Turks smoked the most, and Dutch natives drank the most. Lack of physical activity partially mediated the association between Turks (6% respectively 11%) and Moroccans (13% respectively 9%) for psychological distress and self-rated health. Smoking played a mediating role (3%) in Turks. CONCLUSION: Lower physical activity and smoking more cigarettes partly explained ethnic health inequalities in the Netherlands. The current findings suggest that intervening and facilitating certain ethnic groups in engaging in health behaviours could contribute to improving their health and reduce ethnic health inequalities.

Physical activity and the environment: conceptual review and framework for intervention research.

BACKGROUND: Changing the physical environment is one way to promote physical activity and improve health, but evidence on intervention effectiveness is mixed. The theoretical perspectives and conceptual issues discussed or used in evaluative studies and related literature may contribute to these inconsistencies. We aimed to advance the intervention research agenda by systematically searching for and synthesising the literature pertaining to these wider conceptual issues. METHODS: We searched for editorials, commentaries, reviews, or primary qualitative or quantitative studies in multiple disciplines by electronic searches of key databases (MEDLINE and MEDLINE In-Process, Web of Science, Cochrane Reviews, ProQuest for dissertations, Health Evidence, EPPI-Centre, TRID and NICE) and snowballing. We extracted theoretical and conceptual material and used thematic analysis in an in-depth, configurative narrative approach to synthesis. RESULTS: Our initial searches identified 2760 potential sources from fields including public health, sociology, behavioural science and transport, of which 104 were included. By first separating out and then drawing together this material, we produced a synthesis that identified five high-level conceptual themes: one concerning outcomes (physical activity as a behaviour and a socially embedded practice), one concerning exposures (environmental interventions as structural changes) and three concerning how interventions bring about their effects (the importance of social and physical context; (un) observable mechanisms linking interventions and changes in physical activity; and interventions as events in complex systems). These themes are inter-related but have rarely been considered together in the disparate literatures. Drawing on these insights, we present a more generalisable way of thinking about how environmental interventions work which could be used in future evaluation studies. CONCLUSIONS: Environmental and policy interventions are socially embedded and operate within a system. Evaluators should acknowledge this, and the philosophical perspective taken in their evaluation. Across disciplinary fields, future studies should seek to understand how interventions work through considering these systems, the context in which interventions take place, and the (un) observable mechanisms that may operate. This will help ensure that findings can be more easily interpreted and widely applied by policymakers. We hope that highlighting these conceptual issues will help others to interpret and improve upon a somewhat contested evidence base.

Socio-demographic factors as correlates of active commuting to school in Rotterdam, the Netherlands.

OBJECTIVE: Report frequencies of adolescents' active commuting to school in an inner city environment in the Netherlands, and to explore potential socio-demographic correlates of active commuting to school. METHODS: Cross-sectional data were obtained from the ENDORSE study (2005-2006) including 1361 adolescents (response=82%), aged 12-15 from 16 schools in Rotterdam. Socio-demographic variables were assessed by questionnaire, height and weight were measured and distance to school was calculated based on route planner information. Multilevel logistic regressions were performed to analyze the data. RESULTS: The proportions of participants categorized as walkers, cyclists, non-active commuters were 12%, 35% and 34% respectively. With cyclists as the reference category, adolescents of non-Western ethnic background were more likely to be walkers (OR=4.1; 95% CI=2.1-8.2) and non-active commuters (OR=5.1; 95% CI=3.3-7.9), compared to native Dutch adolescents. A further distance from home to school was inversely associated with being a walker (OR=0.22; 95% CI=0.17-0.29) and being a cyclist (OR=0.83; 95% CI=0.79-0.86) and positively associated with being a non-active commuter (OR=1.2; 95% CI=1.16-1.23). CONCLUSION: Almost 50% of the adolescents reported to actively commute to school on most school days, and mode of commuting was associated with ethnicity and distance. Further research is needed to examine main barriers to active commuting among adolescents from non-Western ethnic background.

Socioeconomic Inequalities in Psychological Distress among Urban Adults: The Moderating Role of Neighborhood Social Cohesion.

BACKGROUND: Various studies have reported socioeconomic inequalities in mental health among urban residents. This study aimed at investigating whether neighborhood social cohesion influences the associations between socio-economic factors and psychological distress. METHODS: Cross-sectional questionnaire study on a random sample of 18,173 residents aged 16 years and older from 211 neighborhoods in the four largest cities in the Netherlands. Psychological distress was the dependent variable (scale range 10-50). Neighborhood social cohesion was measured by five statements and aggregated to the neighborhood level using ecometrics methodology. Multilevel linear regression analyses were used to investigate cross-level interactions, adjusted for neighborhood deprivation, between individual characteristics and social cohesion with psychological distress. RESULTS: The mean level of psychological distress among urban residents was 17.2. Recipients of disability, social assistance or unemployment benefits reported higher psychological distress (ß = 5.6, 95%CI 5.2 to 5.9) than those in paid employment. Persons with some or great financial difficulties reported higher psychological distress (ß = 3.4, 95%CI 3.2 to 3.6) than those with little or no financial problems. Socio-demographic factors were also associated with psychological distress, albeit with much lower influence. Living in a neighborhood with high social cohesion instead of low social cohesion was associated with a lower psychological distress of 22% among recipients of disability, social assistance or unemployment benefits and of 13% among citizens with financial difficulties. CONCLUSIONS: Residing in socially cohesive neighborhoods may reduce the influence of lack of paid employment and financial difficulties on psychological distress among urban adults. Urban policies aimed at improving neighborhood social cohesion may contribute to decreasing socio-economic inequalities in mental health.

Physical activity in non-frail and frail older adults.

INTRODUCTION: Physical activity (PA) is important for healthy ageing. Better insight into objectively measured PA levels in older adults is needed, since most previous studies employed self-report measures for PA assessment, which are associated with overestimation of PA. AIM: This study aimed to provide insight in objectively measured indoor and outdoor PA of older adults, and in PA differences by frailty levels. METHODS: Data were collected among non-frail (N = 74) and frail (N = 10) subjects, aged 65 to 89 years. PA, measured for seven days with accelerometers and GPS-devices, was categorized into three levels of intensity (sedentary, light, and moderate-to-vigorous PA). RESULTS: Older adults spent most time in sedentary and light PA. Subjects spent 84.7%, 15.1% and 0.2% per day in sedentary, light and moderate-to-vigorous PA respectively. On average, older adults spent 9.8 (SD 23.7) minutes per week in moderate-to-vigorous activity, and 747.0 (SD 389.6) minutes per week in light activity. None of the subjects met the WHO recommendations of 150 weekly minutes of moderate-to-vigorous PA. Age-, sex- and health status-adjusted results revealed no differences in PA between non-frail and frail older adults. Subjects spent significantly more sedentary time at home, than not at home. Non-frail subjects spent significantly more time not at home during moderate-to-vigorous activities, than at home. CONCLUSIONS: Objective assessment of PA in older adults revealed that most PA was of light intensity, and time spent in moderate-to-vigorous PA was very low. None of the older adults met the World Health Organization recommendations for PA. These levels of MVPA are much lower than generally reported based on self-reported PA. Future studies should employ objective methods, and age specific thresholds for healthy PA levels in older adults are needed. These results emphasize the need for effective strategies for healthy PA levels for the growing proportion of older adults.

Neighborhood ethnic diversity and behavioral and emotional problems in 3 year olds: results from the Generation R Study.

BACKGROUND: Studies suggest that neighborhood ethnic diversity may be important when it comes to understanding ethnic inequalities in mental health. The primary aim of this study was to investigate whether neighborhood ethnic diversity moderated the association between the ethnic minority status and child behavioral and emotional problems. METHODS: We included 3076 preschoolers participating in the Generation R Study, a birth cohort study in Rotterdam, the Netherlands. At child age 3-years, parents completed the Child Behavior Checklist (CBCL/1,5-5). Individual-level data, assessed with questionnaires, was combined with neighborhood-level data. Multi-level logistic regression models predicted the Odds Ratios for the CBCL total problems score as a function of maternal ethnic background and neighborhood ethnic diversity, computed with the Racial Diversity Index and categorized into tertiles. Interaction on the additive scale was assessed using Relative Access Risk due to Interaction. RESULTS: Being from an ethnic minority was associated with child behavioral and emotional problems in unadjusted (OR 2.76, 95% CI 1.88-4.04) and adjusted models (OR 2.64, 95% CI 1.79-3.92). Residing in a high diversity neighborhood was associated with child behavioral and emotional problems in unadjusted (OR 2.03, 95% CI 1.13-3.64) but not in adjusted models (OR 0.89, 95% CI 0.51-1.57). When stratifying by the three levels of neighborhood ethnic diversity, ethnic inequalities in behavioral and emotional problems were greatest in low diversity neighborhoods (OR 5.24, 95%CI 2.47-11.14), smaller in high diversity neighborhoods (OR 3.15, 95% CI 1.66-5.99) and smallest in medium diversity neighborhoods (OR 1.59, 95% CI 0.90-2.82). Tests for interaction (when comparing medium to low diversity neighborhoods) trended towards negative on both the additive and multiplicative scale for the maternal-report (RERI: -3.22, 95% CI -0.70-0.59; Ratio of ORs: 0.30, 95% CI 0.12-0.76). CONCLUSION: This study suggests that ethnic inequalities in child behavioral and emotional problems may be greatest in ethnically homogeneous neighborhoods.