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    <title>Droomers, M.</title>
    <link>http://repub.eur.nl/res/aut/12081/</link>
    <description>List of Publications</description>
    <language>en</language>
    <image>
      <url>http://repub.eur.nl/static-eur/img/logo.png</url>
      <title>RePub, Erasmus University Rotterdam</title>
      <link>http://repub.eur.nl</link>
    </image>
    <item>
      <title>The effect of neighbourhood income and deprivation on pregnancy outcomes in Amsterdam, The Netherlands (Article)</title>
      <link>http://repub.eur.nl/res/pub/24898/</link>
      <pubDate>2009-09-01T00:00:00Z</pubDate>
      <description>Background: Studies suggest that the neighbourhoods in which people live influence their health. The main objective of this study was to investigate the associations of neighbourhood-level income and unemployment/social security benefit on pregnancy outcomes: preterm delivery, small for gestational age (SGA), pregnancy-induced hypertension (PIH) and miscarriage/perinatal death in Amsterdam. Methods: A random sample of 7883 from 82 neighbourhoods in Amsterdam. Individual-level data from the Amsterdam Born Children and their Development (ABCD) study were linked to data on neighbourhood-level factors. Multilevel logistic regression was used to estimate odds ratios and neighbourhood-level variance. Results: After adjustment for individual-level factors, women living in low-income neighbourhoods (third, second and first quartiles) were more likely than women living in high-income neighbourhoods (fourth quartile) to have SGA births: OR 1.32 (95% CI 1.04 to 1.68), 1.42 (1.11 to 1.82) and 1.62 (1.25 to 2.08) respectively. Women living in the quartile of neighbourhoods with the highest unemployment/social security benefit were more likely than those living in the quartile with the lowest unemployment/social security benefit to have SGA births 1.36 (1.08 to 1.72). The neighbourhood-level variance was significant only for SGA births. No significant associations were found between neighbourhood-level factors and other pregnancy outcomes. Conclusion: The findings suggest that neighbourhood income and deprivation are related to SGA births. More research is needed to explore possible mechanisms underlying poor neighbourhood environment and pregnancy outcomes, in particular through stress mechanisms. Such information might be necessary to help improve maternal and fetal health.</description>
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      <title>The diversity in associations between community social capital and health per health outcome, population group and location studied (Article)</title>
      <link>http://repub.eur.nl/res/pub/29593/</link>
      <pubDate>2008-12-15T00:00:00Z</pubDate>
      <description>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. </description>
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      <title>Higher mortality in urban neighbourhoods in The Netherlands: who is at risk? (Article)</title>
      <link>http://repub.eur.nl/res/pub/13687/</link>
      <pubDate>2008-10-31T00:00:00Z</pubDate>
      <description>BACKGROUND: Urban residents have higher mortality risks than rural residents. These urban-rural differences might be more pronounced within certain demographic subpopulations. AIM: To determine urban-rural differences in all-cause and cause-specific mortality within specific demographic subpopulations of the Dutch population. METHOD: Mortality records with information on gender, age, marital status, region of origin and place of residence were available for 1995 through 2000. Neighbourhood data on address density and socioeconomic level were linked through postcode information. Variations in all-cause and cause-specific mortality between urban and rural neighbourhoods were estimated through Poisson regression. Additionally, analyses were stratified according to demographic subpopulation. RESULT: After adjustments for population composition, urban neighbourhoods have higher all-cause mortality risks than rural neighbourhoods (RR = 1.05; CI 1.04 to 1.05), but this pattern reverses after adjustment for neighbourhood socioeconomic level (RR = 0.98; CI 0.97 to 0.99). The beneficial effect of living in an urban environment applies particularly to individuals aged 10-40 years and 80 years and above, people who never married and residents from non-Western ethnic origins. The beneficial effect of urban residence for non-married people is related to their lower cancer and heart disease mortality. The beneficial effect of urban residence for people of non-Western ethnic origin is related to their lower cancer and suicide mortality. CONCLUSION: In The Netherlands, living in an urban environment is not consistently related to higher mortality risks. Young adults, elderly, single and non-Western residents, especially, benefit from living in an urban environment. The urban environment seems to offer these subgroups better opportunities for a</description>
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      <title>Environmental attributes related to walking and bicycling at the individual and contextual level (Article)</title>
      <link>http://repub.eur.nl/res/pub/29416/</link>
      <pubDate>2008-08-01T00:00:00Z</pubDate>
      <description>Objective: The aim of the present paper was to give insight into the practical consequences of using either single-level or multilevel regression analyses on data from research on environmental determinants of physical activity. Methods: For this purpose, results from single-level and multilevel regression analyses on comparable attributes of the environment were compared using a combination of individual and aggregated data, merged at the neighbourhood level. Results: Using only individual level data, applying multilevel instead of single-level analyses did not substantially influence the results. However, ignoring the multilevel structure of our data by applying single-level in stead of multilevel analyses resulted in statistically significant associations for all the environmental attributes under study. Moreover, using information on environmental attributes at both the individual and the contextual level to adjust associations at one level for the other level showed that associated environmental attributes tend to be associated either at the individual or at the contextual level. Conclusions: These results stress the importance for reviews and meta-analyses of recording type of measurement and type of analytical strategy used and incorporating them in the review process. Using advanced multilevel designs will still only partly solve the methodological issues involved in studying environmental attributes associated with physical activity, but it will help in disentangling this complex relationship. Therefore, it is recommended that, whenever there is a presumably relevant grouping (context; eg neighbourhoods) in a study, a multilevel approach should at least be considered.</description>
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      <title>Potential environmental determinants of physical activity in adults: A systematic review (Article)</title>
      <link>http://repub.eur.nl/res/pub/36882/</link>
      <pubDate>2007-09-01T00:00:00Z</pubDate>
      <description>The objective of this systematic review of observational studies was to gain insight into potential determinants of various types and intensities of physical activity among adult men and women. Studies were retrieved from Medline, PsycInfo, Embase and Social scisearch. The ANGELO framework was used to classify environmental factors. In total, 47 publications were identified. Social support and having a companion for physical activity were found to be convincingly associated with different types of physical activity [(neighbourhood) walking, bicycling, vigorous physical activity/sports, active commuting, leisure-time physical activity in general, sedentary lifestyle, moderately intense physical activity and a combination of moderately intense and vigorous activity]. Availability of physical activity equipment was convincingly associated with vigorous physical activity/sports and connectivity of trails with active commuting. Other possible, but less consistent correlates of physical activity were availability, accessibility and convenience of recreational facilities. No evidence was found for differences between men and women. In conclusion, supportive evidence was found for only very few presumed environmental determinants. However, most studies used cross-sectional designs and non-validated measures of environments and/or behaviour. Therefore, no strong conclusions can be drawn and more research of better quality is clearly needed.</description>
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      <title>Exceptions to the rule: Healthy deprived areas and unhealthy wealthy areas (Article)</title>
      <link>http://repub.eur.nl/res/pub/35965/</link>
      <pubDate>2007-03-01T00:00:00Z</pubDate>
      <description>In general, inhabitants of low socio-economic areas are unhealthier than inhabitants of high socio-economic areas, but some areas are an exception to this rule. These exceptions imply that other factors besides the socio-economic level of an area contribute to the health of the inhabitants of an area, e.g. environmental factors. In our study we concentrate on areas within the Netherlands that are healthier or unhealthier than could be expected based on their socio-economic level. This study first identifies these areas and secondly determines which area characteristics distinguish these areas from those areas where the level of health is in agreement with their socio-economic level. We used nation-wide data on neighbourhood differences in population composition (gender, age, marital status and ethnicity), urbanisation and two health indicators: mortality and hospitalisation rates. In the Netherlands, many areas are healthier or unhealthier than could be expected based on their income level alone. Areas with higher mortality rates than expected are mainly urban areas with high percentages of elderly people and persons living alone. Similar but opposite associations are observed for areas with lower mortality rates than expected, which are further characterised by a low percentage of non-western immigrants. Areas with lower hospitalisation rates than expected are mainly rural areas with few non-western immigrants. From these results, we conclude that urbanisation and residential segregation based on age, ethnicity and marital status might be important contributors to geographical health inequalities. </description>
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      <title>Moderators of Environmental Intervention Effects on Diet and Activity in Youth (Article)</title>
      <link>http://repub.eur.nl/res/pub/36222/</link>
      <pubDate>2007-02-01T00:00:00Z</pubDate>
      <description>Background: The complexity of the relationship between environmental factors on the one hand and dietary behavior and physical activity on the other necessitates the search for moderators of environmental influences. The current evidence base is reviewed regarding potential moderating factors in the effectiveness of environmental interventions aimed at diet and/or physical activity of children and adolescents. Methods: The following databases were used: (1) Medline, (2) PubMed, (3) PsychInfo, (4) Web of Science, and (5) ERIC. Additionally, all potentially relevant references in recent reviews were checked. Results: Of the 41 studies included in the review, only seven studies (17%) were identified that reported tests of potential moderators of intervention effects. Gender proved to be the most frequently studied potential moderator. Additionally, race, age, and site have been studied regarding their potential role in modifying the effect of environmental interventions. Discussion: The small number of studies identified in this review prohibited us from attempting to formulate a conclusion on differential environment-behavior relationships in distinct subgroups. Rather than being an exception, it is argued that tests of effect modifiers should become common practice in behavioral nutrition and physical activity research to increase our understanding of mechanisms of behavior change and to optimize interventions. </description>
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      <title>Occupational level of the father and alcohol consumption during adolescence; patterns and predictors (Article)</title>
      <link>http://repub.eur.nl/res/pub/8385/</link>
      <pubDate>2003-01-01T00:00:00Z</pubDate>
      <description>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.</description>
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      <title>Socioeconomic differences in health related behaviour (Doctoral Thesis)</title>
      <link>http://repub.eur.nl/res/pub/31302/</link>
      <pubDate>2002-10-09T00:00:00Z</pubDate>
      <description>Health related behaviours are an important determinant of health and part of the causal
explanation for socioeconomic differences in morbidity and mortality. The fact is that a
lower socioeconomic status is generally associated with higher rates of health damaging
behaviour, such as smoking or poor diet and lower rates of health promoting activities,
like physical activity. Socioeconomic differences in unhealthy lifestyles already appear
during adolescence and also tend to grow during adulthood, because people from lower
socioeconomic groups more often make unhealthy behavioural choices</description>
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      <title>Educational level and decreases in leisure time physical activity: predictors from the longitudinal GLOBE study (Article)</title>
      <link>http://repub.eur.nl/res/pub/9681/</link>
      <pubDate>2001-01-01T00:00:00Z</pubDate>
      <description>STUDY OBJECTIVE: This study describes educational differences in decreases
          in leisure time physical activity among an adult, physically active
          population and additionally attempts to identify predictors of these
          differences from information on health status and individual and
          environmental factors. DESIGN: Prospective population based study.
          Baseline measurement were carried out in 1991 and follow up in 1997.
          SETTING: South eastern part of the Netherlands. PARTICIPANTS: The study
          included 3793 subjects who were physically active in 1991 and who
          participated in the follow up. METHODS: Potential predictors of decreasing
          physical activity were measured in 1991. Logistic regression analyses were
          carried out for two age groups (&lt; 45 years; &gt; or = 45 years) separately.
          MAIN RESULTS: Lower educated respondents experienced statistically
          significant higher odds to decrease physical activity during follow up,
          compared with respondents with higher vocational schooling or a university
          degree. Perceived control was the main predictor of educational
          differences in decreasing physical activity in both age groups. In the
          older group, material problems and a poor perceived health experienced by
          lower educated people additionally predicted educational differences in
          decreases in physical activity during leisure time. CONCLUSIONS: These
          findings have important implications for health promotion practice and
          policy to prevent socioeconomic differences in physical inactivity and
          health. There is a need for evidence-based interventions that improve
          perceived control and reduce material problems in lower educated groups.</description>
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