Mariël Droomers

A systematic review of associations between environmental factors, energy and fat intakes among adults: is there evidence for environments that encourage obesogenic dietary intakes?

OBJECTIVE To review the literature examining associations between environmental factors, energy and fat intakes among adults, and to identify issues for future research. METHODS Literature searches of studies published between 1980 and 2004 were conducted in major databases (i.e. PubMed, Human Nutrition, Web of Science, PsychInfo, Sociofile). Additional articles were located by citation tracking. RESULTS Twenty-one articles met the inclusion criteria. No study provided a clear conceptualisation of how environmental factors may influence these dietary intakes. Availability, social, cultural and material aspects of the environment were relatively understudied compared with other factors such as seasonal/day of the week variation and work-related factors. Few studies examined the specific environmental factors implicated in the obesity epidemic, and there was little study replication. All studies were observational and cross-sectional. CONCLUSIONS It is too premature to conclude whether or not environmental factors play a role in obesogenic and unhealthy dietary intakes. More studies need to examine associations with those environmental factors thought to contribute to obesogenic environments. There needs to be more development in theories that conceptualise the relationship between environmental factors and dietary intakes.

The relationship between health, education, and health literacy: results from the Dutch Adult Literacy and Life Skills Survey.

Health literacy has been put forward as a potential mechanism explaining the well-documented relationship between education and health. However, little empirical research has been undertaken to explore this hypothesis. The present study aims to study whether health literacy could be a pathway by which level of education affects health status. Health literacy was measured by the Health Activities and Literacy Scale, using data from a subsample of 5,136 adults between the ages of 25 and 65 years, gathered within the context of the 2007 Dutch Adult Literacy and Life Skills Survey. Linear regression analyses were used in separate models to estimate the extent to which health literacy mediates educational disparities in self-reported general health, physical health status, and mental health status as measured by the Short Form-12. Health literacy was found to partially mediate the association between low education and low self-reported health status. As such, improving health literacy may be a useful strategy for reducing disparities in health related to education, as health literacy appears to play a role in explaining the underlying mechanism driving the relationship between low level of education and poor health.

Occupational level of the father and alcohol consumption during adolescence; patterns and predictors

Study objective: This paper describes and attempts to explain the association between occupational level of the father and high alcohol consumption among a cohort of New Zealand adolescents from age 11 to 21. Design: Data were obtained from the longitudinal Dunedin multidisciplinary health and development study. At each measurement wave, those who then belonged to the quartile that reported the highest usual amount of alcohol consumed on a typical drinking occasion were categorised as high alcohol consumers. Potential predictors of high alcohol consumption included environmental factors, individual factors, and educational achievement measured at age 9, 11, or 13. Longitudinal logistic GEE analyses described and explained the relation between father’s occupation and adolescent alcohol consumption. Setting: Dunedin, New Zealand. Participants: About 1000 children were followed up from birth in 1972 until adulthood. Main results: A significant association between fathers’ occupation and adolescent alcohol consumption emerged at age 15. Overall adolescents from the lowest occupational group had almost twice the odds of being a large consumer than the highest occupational group. The association between father’s occupation and high alcohol consumption during adolescence was explained by the higher prevalence of familial alcohol problems and friends approving of alcohol consumption, lower intelligence scores, and lower parental attachment among adolescents from lower occupational groups. Conclusions: Socioeconomic background affects adolescent alcohol consumption substantially. This probably contributes to cumulation of disadvantage. Prevention programmes should focus on adolescents from lower socioeconomic groups and make healthier choices the easier choices by means of environmental change.

Health effects of employment: a systematic review of prospective studies

Objectives The purpose of this review was to systematically summarise the literature on the health effects of employment. Methods A search for prospective studies investigating the effect of employment on health was executed in several electronic databases, and references of selected publications were checked. Subsequently, the methodological quality of each study was assessed by predefined criteria. To draw conclusions about the health effect of employment, a best evidence synthesis was used, and if possible, data were pooled. Results 33 prospective studies were included, of which 23 were of high quality. Strong evidence was found for a protective effect of employment on depression and general mental health. Pooled effect sizes showed favourable effects on depression (OR=0.52; 95% CI 0.33 to 0.83) and psychological distress (OR=0.79; 95% CI 0.72 to 0.86). Insufficient evidence was found for general health, physical health and mortality due to lack of studies or inconsistent findings. Conclusions This systematic review indicates that employment is beneficial for health, particularly for depression and general mental health. There is a need for more research on the effects of employment on specific physical health effects and mortality to fill the knowledge gaps.

Health literacy of Dutch adults: a cross sectional survey.

BackgroundRelatively little knowledge is available to date about health literacy among the general population in Europe. It is important to gain insights into health literacy competences among the general population, as this might contribute to more effective health promotion and help clarify socio-economic disparities in health. This paper is part of the European Health Literacy Survey (HLS-EU). It aims to add to the body of theoretical knowledge about health literacy by measuring perceived difficulties with health information in various domains of health, looking at a number of competences. The definition and measure of health literacy is still topic of debate and hardly any instruments are available that are applicable for the general population. The objectives were to obtain an initial measure of health literacy in a sample of the general population in the Netherlands and to relate this measure to education, income, perceived social status, age, and sex.MethodsThe HLS-EU questionnaire was administered face-to-face in a sample of 925 Dutch adults, during July 2011. Perceived difficulties with the health literacy competences for accessing, understanding, appraising and applying information were measured within the domains of healthcare, disease prevention and health promotion. Multiple linear regression analyses were applied to explore the associations between health literacy competences and education, income, perceived social status, age, and sex.ResultsPerceived difficulties with health information and their association with demographic and socio-economic variables vary according to the competence and health domain addressed. Having a low level of education or a low perceived social status or being male were consistently found to be significantly related to relatively low health literacy scores, mainly for accessing and understanding health information.ConclusionsPerceived difficulties with health information vary between competences and domains of health. Health literacy competences are associated with indicators of socio-economic position and with the domain in which health information is provided.

The association of neighbourhood psychosocial stressors and self-rated health in Amsterdam, The Netherlands

Objective: To investigate associations between neighbourhood-level psychosocial stressors (i.e. experience of crime, nuisance from neighbours, drug misuse, youngsters frequently hanging around, rubbish on the streets, feeling unsafe and dissatisfaction with the quality of green space) and self-rated health in Amsterdam, the Netherlands. Participants: A random sample of 2914 subjects aged ⩾ 18 years from 75 neighbourhoods in the city of Amsterdam, the Netherlands. Design: Individual data from the Social State of Amsterdam Survey 2004 were linked to data on neighbourhood-level attributes from the Amsterdam Living and Security Survey 2003. Multilevel logistic regression was used to estimate odds ratios and neighbourhood-level variance. Results: Fair to poor self-rated health was significantly associated with neighbourhood-level psychosocial stressors: nuisance from neighbours, drug misuse, youngsters frequently hanging around, rubbish on the streets, feeling unsafe and dissatisfaction with green space. In addition, when all the neighbourhood-level psychosocial stressors were combined, individuals from neighbourhoods with a high score of psychosocial stressors were more likely than those from neighbourhoods with a low score to report fair to poor health. These associations remained after adjustments for individual-level factors (i.e. age, sex, educational level, income and ethnicity). The neighbourhood-level variance showed significant differences in self-rated health between neighbourhoods independent of individual-level demographic and socioeconomic factors. Conclusion: Our findings show that neighbourhood-level psychosocial stressors are associated with self-rated health. Strategies that target these factors might prove a promising way to improve public health.

The diversity in associations between community social capital and health per health outcome, population group and location studied

BACKGROUND Literature on the effect of community social capital on health is inconsistent and could be related to differences in social capital measures, health outcomes, population groups and locations studied. Therefore this study examines the diversity in associations between community social capital and health by investigating different diseases, populations groups and locations. METHODS Mortality records and individual data on sex, age, marital status, ethnic origin and place of residence were available for 6 years (1995-2000). Neighbourhood data, i.e. community social capital, socio-economic level and urbanicity, were linked through postcode information. Community social capital was indicated by measures of community interaction, belongingness, satisfaction and involvement. Variations in all-cause and cause-specific mortality across low and high social capital neighbourhoods were estimated through Poisson regression. In addition, analyses were stratified according to population group and to urbanization level. RESULTS In the total population, community social capital was not related to all-cause mortality (RR = 1.00; CI: 0.99-1.01). However, residents of high social capital neighbourhoods had lower mortality risks for cancer [especially lung cancer (RR = 0.92; CI: 0.89-0.96)] and for suicide (RR = 0.90; CI: 0.83-0.98). Slightly lower mortality risks were also found for men (RR = 0.98; CI: 0.97-0.99), married individuals (RR = 0.96; CI: 0.94-0.97) and for residents living in socially strong neighbourhoods located in large cities (RR = 0.95; CI: 0.91-0.99). CONCLUSIONS The association between community social capital and health differs per health outcome, study population and location studied. This underlines the need to take such diversity into account when aiming to conceptualize the relation between community social capital and health.

Ethnic differences in the effect of environmental stressors on blood pressure and hypertension in the Netherlands

BackgroundEvidence strongly suggests that the neighbourhood in which people live influences their health. Despite this, investigations of ethnic differences in cardiovascular risk factors have focused mainly on individual-level characteristics. The main purpose of this study was to investigate associations between neighbourhood-level environmental stressors (crime, housing density, nuisance from alcohol and drug misuse, quality of green space and social participation), and blood pressure (BP) and hypertension among different ethnic groups.MethodsIndividual data from the Amsterdam Health Survey 2004 were linked to data on neighbourhood stressors creating a multilevel design for data analysis. The study sample consisted of 517 Dutch, 404 Turkish and 365 Moroccans living in 15 neighbourhoods in Amsterdam, the Netherlands.ResultsAmongst Moroccans, high density housing and nuisance from drug misuse were associated with a higher systolic BP, while high quality of green space and social participation were associated with a lower systolic BP. High level of nuisance from drug misuse was associated with a higher diastolic BP. High quality of green space was associated with lower odds of hypertension. Amongst Turkish, high level of crime and nuisance from motor traffic were associated with a higher diastolic BP. Similar associations were observed among the Dutch group but none of the differences were statistically significant.ConclusionThe study findings show that neighbourhood-level stressors are associated with BP in ethnic minority groups but were less evident in the Dutch group. These findings might imply that the higher BP levels found in some ethnic minority groups might be partly due to their greater susceptibility to the adverse neighbourhood environment in which many ethnic minority people live. Primary prevention measures targeting these neighbourhood stressors may have an impact in reducing high BP related morbidity and mortality among ethnic minority groups.

The development of socio-economic health differences in childhood: results of the Dutch longitudinal PIAMA birth cohort

BackgroundPeople with higher socio-economic status (SES) are generally in better health. Less is known about when these socio-economic health differences set in during childhood and how they develop over time. The goal of this study was to prospectively study the development of socio-economic health differences in the Netherlands, and to investigate possible explanations for socio-economic variation in childhood health.MethodsData from the Dutch Prevention and Incidence of Asthma and Mite Allergy (PIAMA) birth cohort study were used for the analyses. The PIAMA study followed 3,963 Dutch children during their first eight years of life. Common childhood health problems (i.e. eczema, asthma symptoms, general health, frequent respiratory infections, overweight, and obesity) were assessed annually using questionnaires. Maternal educational level was used to indicate SES. Possible explanatory lifestyle determinants (breastfeeding, smoking during pregnancy, smoking during the first three months, and day-care centre attendance) and biological determinants (maternal age at birth, birthweight, and older siblings) were analysed using generalized estimating equations.ResultsThis study shows that socio-economic differences in a broad range of health problems are already present early in life, and persist during childhood. Children from families with low socio-economic backgrounds experience more asthma symptoms (odds ratio (OR) 1.27; 95% Confidence Interval (CI) 1.08-1.49), poorer general health (OR 1.36; 95% CI 1.16-1.60), more frequent respiratory infections (OR 1.57; 95% CI 1.35-1.83), more overweight (OR 1.42; 95% CI 1.16-1.73), and more obesity (OR 2.82; 95% CI 1.80-4.41). The most important contributors to the observed childhood socio-economic health disparities are socio-economic differences in maternal age at birth, breastfeeding, and day-care centre attendance.ConclusionsSocio-economic health disparities already occur very early in life. Socio-economic disadvantage takes its toll on child health before birth, and continues to do so during childhood. Therefore, action to reduce health disparities needs to start very early in life, and should also address socio-economic differences in maternal age at birth, breastfeeding habits, and day-care centre attendance.

The contribution of diet and lifestyle to socioeconomic inequalities in cardiovascular morbidity and mortality.

BACKGROUND The role of differences in diet on the relationship between socioeconomic factors and cardiovascular diseases remains unclear. We studied the contribution of diet and other lifestyle factors to the explanation of socioeconomic inequalities in cardiovascular diseases. METHODS We prospectively examined the incidence of coronary heart disease (CHD) and stroke events amongst 33,106 adults of the EPIC-NL cohort. Education and employment status indicated socioeconomic status. We used Cox proportional models to estimate hazard ratios ((HR (95% confidence intervals)) for the association of socioeconomic factors with CHD and stroke and the contribution of diet and lifestyle. RESULTS During 12 years of follow-up, 1617 cases of CHD and 531 cases of stroke occurred. The risks of CHD and stroke were higher in lowest (HR=1.98 (1.67;2.35); HR=1.55 (1.15;2.10)) and lower (HR=1.50 (1.29;1.75); HR=1.42 (1.08;1.86)) educated groups than in the highest. Unemployed and retired subjects more often suffered from CHD (HR=1.37 (1.19;1.58); HR=1.20 (1.05;1.37), respectively), but not from stroke, than the employed. Diet and lifestyle, mainly smoking and alcohol, explained more than 70% of the educational differences in CHD and stroke and 65% of employment status variation in CHD. Diet explained more than other lifestyle factors of educational and employment status differences in CHD and stroke (36% to 67% vs. 9% to 27%). CONCLUSION The socioeconomic distribution of diet, smoking and alcohol consumption largely explained the inequalities in CHD and stroke in the Netherlands. These findings need to be considered when developing policies to reduce socioeconomic inequalities in cardiovascular diseases.