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Johan P Mackenbach

Publications and source records attributed to Johan P Mackenbach.

At least 37 records · Page 2Linked to original sources
PubMed2006

Using epidemiological models to estimate the health effects of diet behaviour change: the example of tailored fruit and vegetable promotion.

OBJECTIVE: To explore the use of epidemiological modelling for the estimation of health effects of behaviour change interventions, using the example of computer-tailored nutrition education aimed at fruit and vegetable consumption in The Netherlands. DESIGN: The effects of the intervention on changes in consumption were obtained from an earlier evaluation study. The effect on health outcomes was estimated using an epidemiological multi-state life table model. Input data for the model consisted of relative risk estimates for cardiovascular disease and cancers, data on disease occurrence and mortality, and survey data on the consumption of fruits and vegetables. RESULTS: If the computer-tailored nutrition education reached the entire adult population and the effects were sustained, it could result in a mortality decrease of 0.4 to 0.7% and save 72 to 115 life-years per 100,000 persons aged 25 years or older. Healthy life expectancy is estimated to increase by 32.7 days for men and 25.3 days for women. The true effect is likely to lie between this theoretical maximum and zero effect, depending mostly on durability of behaviour change and reach of the intervention. CONCLUSION: Epidemiological models can be used to estimate the health impact of health promotion interventions.

Adult↗
PubMed2006

Internalising and externalising behaviours in young adults: Dutch natives and Turkish migrants in the Netherlands.

OBJECTIVE: To compare the prevalence of internalising and externalising behaviour of Dutch and Turkish migrant young adults in the Netherlands. We will also assess associations with socio-economic position. METHOD: Dutch natives (1,236) and Turkish migrants (438), age 18-28, completed the Young Adult Self-Report. Scores above the 90th percentile of the distribution of the Dutch sample were defined as deviant. RESULTS: Turkish migrants more often reported deviant scores than natives for internalising problems, especially for the Anxious/Depressed syndrome. For externalising problems, Turkish migrants less often had deviant scores for Intrusive Behaviour, whereas Turkish women more often had deviant scores for Aggressive and Delinquent Behaviour. Similar results were found for comparison between mean scores. After adjustment for socio-economic position, the disparities in men remained, whereas disparities in women largely disappeared. CONCLUSION: Compared with Dutch young adults, Turkish migrant young adults reported more problems. Ethnic disparities were strongly associated with socio-economic disparities among women, but not among men.

Adolescent↗
PubMed2006

Ethnic differences in total and cause-specific infant mortality in The Netherlands.

We examined ethnic differences in infant mortality and the contribution of several explanatory variables. Data of Statistics Netherlands from 1995 to 2000 were studied (1,178,949 live borns). Proportional hazard analysis was used to show ethnic differences in total and cause-specific infant mortality. Obstetric, demographic and -geographical variables, and socio-economic status were considered as possible determinants. The four major ethnic minority groups showed an elevated risk of infant mortality, ranging from 1.28 in Turkish infants to 1.50 in Antillean/Aruban infants. In the early neonatal period, risks were elevated for Surinamese (hazard ratio [HR] 1.48, 95% confidence intervals [CI] 1.23, 1.78) and Antilleans/Arubans (HR 1.43, 95% CI 1.06, 1.92). In the post-neonatal period, risks were only elevated for Turkish (HR 2.20, 95% CI 1.80, 2.69) and Moroccan infants (HR 2.06, 95% CI 1.67, 2.55). Surinamese and Antillean/Aruban infants had an elevated risk of dying from perinatal causes (HR 1.62, 95% CI 1.33, 1.98 and 1.69, 95% CI 1.24, 2.29 respectively), Turkish and Moroccan infants had an elevated risk of dying from congenital anomalies (HR 1.42, 95% CI 1.16, 1.73 and 1.46, 95% CI 1.20, 1.79 respectively). Inequalities as a result of socio-economic position and demographic factors, such as marital status and maternal age, partially explain the ethnic differences in infant mortality. We conclude that ethnic minority groups in The Netherlands have a higher infant mortality than the native population, which in part seems preventable by reducing inequalities in socio-economic status. Marital status and age of the mother are important other risk factors of infant mortality.

Adolescent↗
PubMed2006

Rising under-5 mortality in Africa: who bears the brunt?

OBJECTIVES: To identify the socioeconomic and geographical groups in which the recent under-5 mortality increase observed in several African countries was most pronounced, and to explore the contribution of a number of proximate determinants of under-5 mortality. METHODS: Time trends in under-5 mortality were assessed with Cox Proportional Hazards regression analysis, using Demographic and Health Surveys data for Burkina Faso, Cameroon, Côte d'lvoire, Kenya and Zimbabwe for the late 1980s - 1990s. We tested for differences in time trends between socioeconomic and rural/urban subgroups, and described the inequalities in time trends in living conditions, malnutrition and health care use. RESULTS: Under-5 mortality increased substantially (ranging from 25% to 71% in 10 years) within the five countries. In Kenya, the increase was the largest among children born to less educated mothers (test for difference between educational groups: P = 0.074) and in rural areas (P = 0.090). In Cameroon, the increase was the largest among the higher educated (P = 0.013), and in Zimbabwe among the higher educated (P = 0.098) and in urban areas (P = 0.093). For Burkina Faso and Côte d'Ivoire, we did not observe statistically significant differences between educational and rural/urban subgroups. The decline in skilled delivery attendance in Zimbabwe and Kenya was similar among the less and higher educated. The decline in immunization coverage during the mid-1990s in Zimbabwe was the largest in the group with the highest mortality increase, but in Kenya it was as large among the less and higher educated. Whereas in Kenya the increase in malnutrition was the largest in the group with the highest mortality increase, this was not the case in Zimbabwe. CONCLUSIONS: The recent increase in under-5 mortality in some African countries was highly concentrated in specific population subgroups. Exactly which groups were most affected was highly variable. It cannot be assumed that lower socioeconomic groups are always most vulnerable. Strategies to halt the under-5 mortality increase should be based on disaggregate information for individual countries.

Africa South of the Sahara↗
PubMed2006

Mortality inequalities in times of economic growth: time trends in socioeconomic and regional inequalities in under 5 mortality in Indonesia, 1982-1997.

STUDY OBJECTIVE: To examine time trends in socioeconomic and regional inequalities in under 5 mortality in Indonesia during almost two decades of economic growth. DESIGN: Under 5 mortality was calculated for the total population and for subgroups by maternal education, household wealth, rural/urban residence, and island group, using the 1987, 1991, 1994, and 1997 Indonesian Demographic and Health Surveys. Inequalities were calculated using Cox proportional hazards analysis. SETTING: Indonesia, 1982-1997. Main PARTICIPANTS: 18,205, 33,907, 39,433, and 37,533 children respectively, aged under 5 years, born to women included in the above mentioned surveys. MAIN RESULTS: Under 5 mortality declined substantially during the 1980s and 1990s. Educational inequalities in under 5 mortality decreased, although not statistically significantly, from a hazard ratio of 2.00 (95%CI 1.60, 2.50) to 1.52 (95%CI 1.27, 1.82). Inequalities between urban and not electrified rural areas increased, from 1.84 (95%CI 1.48, 2.28) to 2.18 (95%CI 1.70, 2.80). Inequalities between the Outer Islands and the central islands of Java/Bali increased from 1.16 (95%CI 0.92, 1.46) to 1.43 (95%CI 1.17, 1.74). Irregular time trends were seen for inequalities by household wealth. Trends in health care use were fairly similar for the low and high educated. CONCLUSIONS: These results for education show that socioeconomic inequalities in under 5 mortality do not inevitably rise in times of rapid economic growth. Widening or narrowing of health inequalities in times of economic growth might depend on how equally this growth is distributed.

Adolescent↗
PubMed2006

The origins of human disease: a short story on "where diseases come from".

Most of public health is based on the working hypothesis that disease is caused by exposure to noxious factors in the external environment. While this approach has produced great successes in primary prevention, a general theory of the origins of human disease cannot be found in the textbooks of public health or epidemiology. This paper suggests that, in all its manifestations, disease is a reaction of the human organism to, and/or a failure to cope with, one or more unbalancing changes in its internal environment. These are caused by one or more unfavourable exchanges with the external environment and/or failures in the structural and functional design of the organism. In the final analysis, human disease is attributable to the dependence of organisms on a fundamentally hostile external environment and to unfortunate evolutionary legacies. While this sketch of a theory suggests that there will ultimately be some hard limits to primary prevention, it also helps in identifying possible new approaches to prevention, including interfering with disease mechanisms, and remedying human organisms' design failures.

Biological Evolution↗
PubMed2006

Neighbourhood and individual socioeconomic inequalities in smoking: the role of physical neighbourhood stressors.

OBJECTIVE: To explore the association between physical neighbourhood stressors and smoking, and the contribution of these stressors to neighbourhood and individual socioeconomic inequalities in smoking. METHODS: Data were analysed of participants of the baseline measurement of the Dutch GLOBE study (1991), aged 20 years and older, who lived in 79 neighbourhoods of the city of Eindhoven (n = 9062). The neighbourhood socioeconomic environment was assessed from aggregated self reported information of participants' education and occupation level, and employment status. Neighbourhood stressors included were the physical quality (decay), required police attention, noise pollution from traffic, and population density in neighbourhoods. Current smokers were distinguished from previous and never smokers. RESULTS: Compared with those living in the most advantaged neighbourhoods, residents living in the socioeconomically most disadvantaged neighbourhoods were more likely to smoke (adjusted for age, sex, education, occupation, and employment status) (OR = 1.24, 95% CI 1.05 to 1.46). An increase in a summary neighbourhood stressor score was associated with smoking, independently of the neighbourhood socioeconomic environment (OR = 1.57, 95% CI 1.11 to 2.21, in the neighbourhoods with the highest stress score). Adjustment for the score substantially reduced the odds ratio for living in the socioeconomic most disadvantaged neighbourhoods (OR = 1.03, 95% CI 0.84 to 1.28, for those in the most disadvantaged neighbourhoods). Neighbourhood stressors contributed 10% to the increased probability of smoking in the lowest educated persons. CONCLUSIONS: Physical neighbourhood stressors are related to smoking and contribute substantially to neighbourhood inequalities in smoking over and above individual level characteristics.

Adolescent↗
PubMed2006

Smokers living in deprived areas are less likely to quit: a longitudinal follow-up.

OBJECTIVE: To follow up smokers to examine whether the likelihood of quitting smoking varied by area deprivation, and whether smoking history, health status, personality characteristics, social support and stressful situations contributed to differences in area deprivation in quit rates. DESIGN: Longitudinal data with a 6-year follow-up period were analysed using multilevel logistic regression. Area-level deprivation was characterised by a composite measure that was the sum of the proportion of unemployed residents, the percentage of residents in blue-collar occupations and the proportion with only elementary-level education. Previously established predictors of smoking cessation, including education, age at smoking initiation, self-assessed health, chronic illness, locus of control, neuroticism, negative life events, longlasting relationship difficulties, emotional social support and negative neighbourhood conditions were examined separately and in a combined model to assess whether they contributed to neighbourhood deprivation differences in quitting. PARTICIPANTS: 404 participants (residing in 83 areas) identified as smokers at baseline and who did not change their residential address over the follow-up period. MAIN OUTCOME: Being a non-smoker at follow-up. RESULTS: Odds ratios of quitting decreased with greater area-level deprivation, but differences reached significance only between the most and least deprived quartiles. Smoking history, health status, personality characteristics, social support and stressful situations did not contribute to the lower quitting rates seen among smokers in deprived areas. CONCLUSIONS: Living in a deprived area seems to reduce the likelihood of quitting smoking; hence individual-level tobacco control efforts should be complemented with area-based interventions. However, we need to identify and understand the underlying factors associated with living in a deprived area that contributes to lower quitting rates.

Educational Status↗
PubMed2005

Impact evaluation of a Dutch community intervention to improve health-related behaviour in deprived neighbourhoods.

This study investigates the impact of a 2-year community intervention on health-related behaviour among adults aged 18-65 years living in deprived neighbourhoods in Eindhoven, The Netherlands. The intervention is evaluated in a community intervention trial with a quasi-experimental design in a longitudinal cohort survey (n=1926 and attrition rate: 31%) using postal questionnaires. In the 2-year implementation phase, more than 40 intervention activities were planned and delivered by intersectoral neighbourhood coalitions. Outcome measures were fruit consumption, vegetable consumption, physical activity, smoking, alcohol consumption and intermediate outcomes of behaviour (i.e. attitudes, self-efficacy, awareness, knowledge and stages of change). The intervention demonstrated no evidence for an impact on vegetable consumption, physical activity, smoking and alcohol consumption and weak evidence for a small impact on (intermediate) outcomes of fruit consumption.

Adolescent↗
PubMed2005

The contribution of specific diseases to educational disparities in disability-free life expectancy.

OBJECTIVES: We examined the contribution that specific diseases, as causes of both death and disability, make to educational disparities in disability-free life expectancy (DFLE). METHODS: We used disability data from the Belgian Health Interview Survey (1997) and mortality data from the National Mortality Follow-Up Study (1991-1996) to assess education-related disparities in DFLE and to partition these differences into additive contributions of specific diseases. RESULTS: The DFLE advantage of higher-educated compared with lower-educated persons was 8.0 years for men and 5.9 years for women. Arthritis (men, 1.3 years; women, 2.2 years), back complaints (men, 2.1 years), heart disease/stroke (men, 1.5 years; women, 1.6 years), asthma/chronic obstructive pulmonary disease (COPD) (men, 1.2 years; women, 1.5 years), and "other diseases" (men, 2.4 years) contributed the most to this difference. CONCLUSIONS: Disabling diseases, such as arthritis, back complaints, and asthma/COPD, contribute substantially to differences in DFLE by education. Public health policy aiming to reduce existing disparities in the DFLE and to improve population health should not only focus on fatal diseases but also on these nonfatal diseases.

Adult↗
PubMed2005

Determinants of under-5 mortality among the poor and the rich: a cross-national analysis of 43 developing countries.

BACKGROUND: Under-5 mortality is unacceptably high in many countries, the burden of which is mainly borne by the poor. Whereas country characteristics are known to influence under-5 mortality, it is unknown whether these have a different impact on the poor and the rich. We aimed to describe how the association between under-5 mortality and socioeconomic, political, and health care factors varies in strength between richer and poorer children. METHODS: Cross-national analysis of 43 developing countries using wealth-group specific under-5 mortality rates as outcome. Relative effects were estimated using OLS regression; differences in associations between wealth groups were tested. RESULTS: Higher national incomes were associated with lower under-5 mortality rates. This association was significantly weaker for the poor compared with the rich (P = 0.014). Ethnic fragmentation was significantly more strongly associated with higher under-5 mortality among the poor compared with the rich (P = 0.027). The association between public spending on health and under-5 mortality was stronger for the poor (P = 0.0001). Skilled delivery attendance and immunization coverage among the poor were significantly more strongly related to public spending on health than such health care use among the rich (P = 0.0001 and P = 0.045, respectively). No differentials in the relative effect of female literacy, democracy, and state strength were observed. CONCLUSION: Our results suggest that economic growth is associated with widening poor-rich disparities in under-5 mortality. Increased public spending on health might partly remedy this effect.

Child Mortality↗
PubMed2005

The European Common Agricultural Policy on fruits and vegetables: exploring potential health gain from reform.

BACKGROUND: Consumption of fruits and vegetables is associated with a reduced risk of cardiovascular disease and cancer. The European Union Common Agricultural Policy keeps prices high by limiting the availability of fruits and vegetables. This policy is at odds with public health interests. We assess the potential health gain for the Dutch population of discontinuing EU withdrawal support for fruits and vegetables. METHODS: The maximum effect of the reform was estimated by assuming that a quantity equivalent to the amount of produce withdrawn in recent years would be brought onto the market. For the calculation of the effect of consumption change on health we constructed a multi-state life table model in which consumption of fruits and vegetables is linked to ischaemic heart disease, stroke, and cancer of the oesophagus, stomach, colorectum, lung and breast. Uncertainty is quantified using Monte Carlo simulation. RESULTS: The reform would maximally increase the average consumption of fruits and vegetables by 1.80% (95% uncertainty interval 1.12-2.73), with an ensuing increase in life expectancy of 3.8 (2.2-5.9) days for men and 2.6 (1.5-4.2) days for women. The reform is also likely to decrease socio-economic inequalities in health. CONCLUSION: Ending EU withdrawal support for fruits and vegetables could result in a modest health gain for the Dutch population, though uncertainty in the estimates is high. A more comprehensive examination of the health effects of the EU agricultural policy could help to ensure health is duly considered in decision-making.

Agriculture↗
PubMed2005

Evaluating the effect of policies and interventions to address inequalities in health: lessons from a Dutch programme.

OBJECTIVES: Many initiatives have been taken in European countries that are designed to reduce inequalities in health. However, the effects of only a very few of these initiatives have been assessed. The main aim of a Dutch research and development programme was to systematically investigate and evaluate interventions aimed at reducing inequalities in health. In this paper, we report on this investigation, and draw lessons from the methodology used to evaluate such interventions. APPROACH: The programme included 12 evaluation studies, focusing on the wider determinants of inequalities in health (n = 2), behavioural determinants (n = 4), working conditions (n = 3) and health care (n = 3). RESULTS: An experimental design was applied in two evaluation studies. The studies provided evidence of a positive effect. A quasi-experimental design appeared to be the only attainable option in seven studies. Five of these provided sufficient evidence for a positive effect, but two interventions appeared not to be successful. In three studies, no experimental or quasi-experimental design could be applied. CONCLUSIONS: The programme showed that it is possible to apply experimental or quasi-experimental studies to complex public health interventions. The Programme Committee steering the programme considered that the evidence generated by the experimental and quasi-experimental studies justified the implementation of the interventions on a wider scale, accompanied by further evaluation studies. Further development of the methodology of public health interventions is necessary. These include non-experimental designs such as international comparisons and time trend studies, especially in order to be able to evaluate broader policy measures.

Evidence-Based Medicine↗
PubMed2005

A simultaneous analysis of neighbourhood and childhood socio-economic environment with self-assessed health and health-related behaviours.

Childhood socio-economic environment and neighbourhood socio-economic environment later in life are closely related. However, few studies have considered their effects simultaneously. Using cross-sectional data of approximately 8000 respondents in 86 neighbourhoods in the city of Eindhoven, The Netherlands, we study associations of both determinants with self-assessed health, smoking, alcohol consumption and overweight. Growing up in a low socio-economic environment increased the probability to live a more deprived neighbourhood in adulthood. Controlling for individual socio-economic characteristics, both childhood and neighbourhood socio-economic environment were related to smoking and overweight, but not with excessive alcohol consumption. Associations between childhood socio-economic environment and smoking and overweight are still substantial after controlling for neighbourhood socio-economic environment. Similarly, neighbourhood inequalities in smoking and overweight remain substantial after controlling for childhood socio-economic environment.

Adult↗
PubMed2005

The role of 'confounding by indication' in assessing the effect of quality of care on disease outcomes in general practice: results of a case-control study.

BACKGROUND: In quality of care research, limited information is found on the relationship between quality of care and disease outcomes. This case-control study was conducted with the aim to assess the effect of guideline adherence for stroke prevention on the occurrence of stroke in general practice. We report on the problems related to a variant of confounding by indication, that may be common in quality of care studies. METHODS: Stroke patients (cases) and controls were recruited from the general practitioner's (GP) patient register, and an expert panel assessed the quality of care of cases and controls using guideline-based review criteria. RESULTS: A total of 86 patients was assessed. Compared to patients without shortcomings in preventive care, patients who received sub-optimal care appeared to have a lower risk of experiencing a stroke (OR 0.60; 95% CI 0.24 to 1.53). This result was partly explained by the presence of risk factors (6.1 per cases, 4.4 per control), as reflected by the finding that the OR came much closer to 1.00 after adjustment for the number of risk factors (OR 0.82; 95% CI 0.29 to 2.30). Patients with more risk factors for stroke had a lower risk of sub-optimal care (OR for the number of risk factors present 0.76; 95% CI 0.61 to 0.94). This finding represents a variant of 'confounding by indication', which could not be fully adjusted for due to incomplete information on risk factors for stroke. CONCLUSIONS: At present, inaccurate recording of patient and risk factor information by GPs seriously limits the potential use of a case-control method to assess the effect of guideline adherence on disease outcome in general practice. We conclude that studies on the effect of quality of care on disease outcomes, like other observational studies of intended treatment effect, should be designed and performed such that confounding by indication is minimized.

Adult↗
PubMed2005

The role of psychosocial factors in explaining socio-economic differences in mobility decline in a chronically ill population: results from the GLOBE study.

In chronically ill patients, mobility develops more unfavorably in persons with low socio-economic status (SES) than in their better-off counterparts. Using longitudinal data from the Dutch GLOBE study (a study of health and living conditions in Eindhoven and its surroundings), the present study examines whether psychosocial factors can explain socio-economic differences in mobility decline, independent of disease severity, co-morbidity, and health-related behavior in a chronically ill population. Data were from 1384 men and woman, aged 15-74 years, suffering from at least one of the four chronic diseases: asthma/COPD, heart disease, diabetes mellitus, and low back pain. Three indicators of SES were used: education, occupational class, and income. Change in physical mobility between 1991 and 1997 was measured with the Nottingham Health Profile (NHP). Psychosocial factors were measured extensively and included life events, long-term difficulties, coping styles, social support, and personality characteristics. Low occupational level and low income predicted an increased risk of mobility decline in comparison to people with a higher occupational level and income, even after controlling for sociodemographics, disease severity, co-morbidity, and health-related behavior. Additional adjustment for psychosocial factors hardly reduced the SES-related odds ratios of mobility decline. We conclude that psychosocial factors (and also health-related behaviors, disease severity and co-morbidity) cannot explain socio-economic differences in mobility decline in a chronically ill population. Our findings will not give us new tools for prevention and intervention strategies in order to reduce physical disability and particularly the SES differences therein.

Adolescent↗