Individual mental health patterns and the role of lifestyle among ageing adults over 20 years - the Doetinchem Cohort Study.

OBJECTIVE: We explored the prevalence of individual mental health patterns and the role of lifestyle factors over 20 years. STUDY DESIGN: We used data from the Doetinchem Cohort Study (1995-2019), a population-based study amongst adults (26-90 years) examined every five years in the Netherlands. Participants were classified in five pre-defined mental health patterns (persistent good, persistent poor, worsening, improving, varying) over 20 years (five rounds) using the MHI-5 questionnaire. BMI, sleep, smoking, alcohol consumption, and physical activity were dichotomised as healthy/unhealthy based on guidelines. The role of lifestyle at baseline (t1), 20 years later (t5), and longitudinally over 20 years (using pre-defined patterns) was explored using logistic regression. RESULTS: Most participants had good mental health at t1 (85 %) and t5 (88 %). Over 20 years, 67 % followed a persistent good mental health pattern, 30 % a changing pattern, and 3 % a persistent poor pattern. Persistent poor and changing patterns were associated with unhealthy sleep and smoking at t1, t5, and with the 20-year unhealthy patterns. Persistent poor mental health was associated with stable unhealthy and changing sleep (OR=5.58(2.48-12.54) and OR=2.07(1.14-3.74), respectively), and with stable unhealthy and changing smoking (OR=3.35(1.58-7.11) and OR=2.53(1.40-4.57), respectively). Changing mental health was associated with changing (OR=1.54(1.26-1.88) and OR=1.64(1.30-2.07), respectively) and stable unhealthy (OR=1.80(1.23-2.64) and OR=2.24(1.60-3.14), respectively) sleep and smoking, respectively. CONCLUSIONS: Persistent good and changing mental health patterns were more common than poor mental health in adults and were associated with smoking and sleep. Clarifying the underlying mechanisms and directionality between mental health and lifestyle could improve interventions.

Conditions for addressing environmental determinants of health behavior in intersectoral policy networks: A fuzzy set Qualitative Comparative Analysis.

Improving health requires changes in the social, physical, economic and political determinants of health behavior. For the realization of policies that address these environmental determinants, intersectoral policy networks are considered necessary for the pooling of resources to implement different policy instruments. However, such network diversity may increase network complexity and therefore hamper network performance. Network complexity may be reduced by network management and the provision of financial resources. This study examined whether network diversity - amidst the other conditions - is indeed needed to address environmental determinants of health behavior. We included 25 intersectoral policy networks in Dutch municipalities aimed at reducing overweight, smoking, and alcohol/drugs abuse. For our fuzzy set Qualitative Comparative Analysis we used data from three web-based surveys among (a) project leaders regarding network diversity and size (n = 38); (b) project leaders and project partners regarding management (n = 278); and (c) implementation professionals regarding types of environmental determinants addressed (n = 137). Data on budgets were retrieved from project application forms. Contrary to their intentions, most policy networks typically addressed personal determinants. If the environment was addressed too, it was mostly the social environment. To address environmental determinants of health behavior, network diversity (>50% of the actors are non-public health) was necessary in networks that were either small (<16 actors) or had small budgets (<€183,172), when both were intensively managed. Irrespective of network diversity, environmental determinants also were addressed by small networks with large budgets, and by large networks with small budgets, when both provided network management. We conclude that network diversity is important - although not necessary - for resource pooling to address environmental determinants of health behavior, but only effective in the presence of network management. Our findings may support intersectoral policy networks in improving health behaviors by addressing a variety of environmental determinants.

Heterogeneity in sex differences in the metabolic syndrome in Dutch white, Surinamese African and South Asian populations.

AIM: To determine whether sex differences in the prevalence of the metabolic syndrome and its components differ among different ethnic groups. METHODS: A random sample of non-institutionalized adults aged 35-60 years in Amsterdam, the Netherlands (white Dutch men n = 242, women n = 244; African-Surinamese men n = 193, women n = 399, Hindustani-Surinamese men n = 149, women n = 186). The metabolic syndrome was defined according to the International Diabetes Federation criteria. RESULTS: In all ethnic groups, the prevalence of central obesity and reduced HDL cholesterol were higher in women than in men, but the prevalence of elevated blood pressure, fasting glucose and triglycerides were lower in women than in men. However, the magnitude of the differences varied. The sex differences in the prevalence of central obesity and reduced HDL cholesterol were particularly larger in ethnic minority groups, especially in African-Surinamese than in white Dutch. After adjustment for education, smoking, alcohol intake and physical activity, the prevalence of the metabolic syndrome was lower in white Dutch women than in white Dutch men (adjusted prevalence ratio 0.70, 95% CI 0.52-0.94). By contrast, the prevalence of the metabolic syndrome was higher in African-Surinamese women than in African-Surinamese men (adjusted prevalence ratio 1.56, 95% CI 1.12-2.18). Among Hindustani-Surinamese, men and women had a similar prevalence of the metabolic syndrome (adjusted prevalence ratio 1.00, 95% CI 0.76-1.31). CONCLUSIONS: Our findings suggest different patterns in sex differences in the metabolic syndrome among the ethnic groups. The relatively high prevalence of central obesity in African-Surinamese women may underlie their higher prevalence of the metabolic syndrome. Strategies to improve metabolic profiles among African-Surinamese and white Dutch people need to take sex differences into account.

The association of physical inactivity with Type 2 diabetes among different ethnic groups.

AIMS: To study differences in the association between physical inactivity and Type 2 diabetes among subjects from different ethnic groups. METHODS: We analysed data on 508 Caucasian, 596 African-Surinamese and 339 Hindustani-Surinamese participants, aged 35-60 years, in the population-based, cross-sectional Surinamese in the Netherlands Study on Health and Ethnicity (SUNSET) study. Physical inactivity was defined as the lowest quartile of reported activity, measured with the validated Short Questionnaire to Assess Health-Enhancing Physical Activity. Type 2 diabetes was defined as fasting plasma glucose levels ≥7.0 mmol/l or self-reported diagnosis. RESULTS: Physical inactivity was associated with Type 2 diabetes (OR 1.63, 95% CI 1.12-2.38) in the total group after adjustment for sex, age, BMI, ethnicity, resting heart rate, hypertension, smoking, history of cardiovascular disease, having a first-degree relative with Type 2 diabetes and educational level. However, this association was only significant in Caucasians (OR 3.17, 95% CI 1.37-7.30). Moreover, it appeared stronger in Caucasians than in Hindustani-Surinamese (OR 1.43, 95% CI 0.78-2.63) and African-Surinamese (OR 1.13, 95% CI 0.58-2.19), although the P-value for interaction was not significant. CONCLUSIONS: Physical inactivity was associated with Type 2 diabetes in the total group after adjustment for multiple risk factors, but this association was only significant in Caucasians. Also, it appeared stronger in Caucasians than in Hindustani and African-Surinamese, but formal testing for interaction provided no further evidence. These findings confirm the importance of exercise, but suggest that potential health gain may differ between ethnic groups. However, it should be noted that, in general, promotion of physical activity in populations with an increased a priori risk of Type 2 diabetes, remains of the utmost importance.

Mortality and causes of death among asylum seekers in the Netherlands, 2002-2005.

BACKGROUND: The world's growing population of asylum seekers faces different health risks from the populations of their host countries because of risk factors before and after migration. There is a current lack of insight into their health status. METHODS: A unique notification system was designed to monitor mortality in Dutch asylum seeker centres (2002-2005). RESULTS: Standardised for age and sex, overall mortality among asylum seekers shows no difference from the Dutch population. However, it differs between subpopulations by sex, age and region of origin and by cause of death. Mortality among asylum seekers is higher than among the Dutch reference population at younger ages and lower at ages above 40. The most common causes of death among asylum seekers are cancer, cardiovascular diseases and external causes. Increased mortality was found from infectious diseases (males, standardised mortality ratio (SMR)=5.44 (95% CI 3.22 to 8.59); females, SMR=7.53 (95% CI 4.22 to 12.43)), external causes (males, SMR=1.95 (95% CI 0.52 to 2.46); females SMR=1.60 (95% CI 0.87 to 2.68)) and congenital anomalies in females (SMR 2.42; 95% CI 1.16 to 4.45). Considerable differences were found between regions of origin. Maternal mortality was increased (rate ratio 10.08; 95% CI 8.02 to 12.83) as a result of deaths among African women. CONCLUSION: Certain subgroups of asylum seekers (classified by age, sex and region of origin) are at increased risk of certain causes of death compared with the host population. Policies and services for asylum seekers should address both causes for which asylum seekers are at increased risk and causes with large absolute mortality, taking into account differences between subgroups.

Uptake of faecal occult blood test colorectal cancer screening by different ethnic groups in the Netherlands.

We investigated the participation rates in CRC screening with a FOBT among various ethnic groups in the Netherlands. Individuals (n = 10 054) were invited by mail and grouped by country of birth. Overall participation rate was 49%. Participation among ethnic minority groups was significantly lower than among ethnic Dutch [adjusted OR for participation: Middle- or Central-East 0.25 (0.18-0.34), African 0.48 (0.34-0.67), Surinamese and Antillean 0.51 (0.43-0.61), South- or South-East Asian 0.56 (0.46-0.69) and 'other Western' 0.78 (0.63-0.96)]. Further studies are needed to explore whether ethnic minority groups are not reached or that low uptake is determined by other causes.

[The Dutch National Colesterol Test: participants mainly healthy]. / De Nationale Cholesteroltest: vooral gezonde deelnemers.

OBJECTIVE: To determine, in people who participated in the Netherlands Heart Foundation's National Cholesterol Test in supermarkets, risk factors for cardiovascular disease and expectations concerning the test result using a questionnaire, and to compare their cholesterol levels with reference values. DESIGN: Descriptive study and questionnaire survey. METHOD: Participants who underwent the National Cholesterol Test in 9 supermarkets during the summer of 2007 were invited to complete a short questionnaire about risk factors for cardiovascular disease and expectations concerning the test result. Statements about the intention to change behaviour were offered, and the measured total cholesterol level was recorded. RESULTS: The average age of the 684 respondents was 57 years (SD: 16); 72% were female. Participants had on average a lower risk of cardiovascular disease than the general population; they suffered less frequently from diabetes, hypertension and being overweight, and smoked less. The measured cholesterol level was 5.0-6.5 mmol/l in 37% and > 6.5 mmoll in 11%. Elevated cholesterol levels were less common in this group than in the general population. The intention to change behaviour was substantial. CONCLUSION: The results of this study showed that the National Cholesterol Test reached relatively many healthy, somewhat worried people. The intention to change behaviour was substantial.

A new tool, a better tool? Prevalence and performance of the International Diabetes Federation and the National Cholesterol Education Program criteria for metabolic syndrome in different ethnic groups.

We used a population based study in the Netherlands of 330 Hindustani Surinamese, 586 African Surinamese, and 486 ethnic Dutch (Dutch) to describe the prevalence of the metabolic syndrome (MS) and the association with differences in cardiovascular disease in and between ethnic groups. Fasting blood samples, blood pressure, and anthropometric measurements were obtained. MS was defined according to the criteria of the International Diabetes Federation (IDF) and the criteria of the National Cholesterol Education Program (NCEP). Cardiovascular disease was assessed by the Rose questionnaire and included questions on previous diagnoses of angina pectoris/myocardial infarction, cerebrovascular accident, intermittent claudication. The prevalence of MS (IDF and NCEP) was highest in Hindustani Surinamese men, followed by Dutch and African Surinamese men: 51.0%, 19.4%, and 31.2% (IDF), respectively. Among women, both the Hindustani and African Surinamese participants had a higher prevalence of MS (IDF and NCEP) than the Dutch. The association between the components, MS and cardiovascular disease differed between ethnic groups, in particular among men; OR for MS (NCEP) = 1.0 (0.4-2.7) among Hindustani Surinamese, OR = 4.9 (1.3-18.3) among African Surinamese, and OR = 2.8 (1.1-7.1) among Dutch. However, the differences in MS could not account for the ethnic differences in cardiovascular disease, regardless of the criteria used. The results suggest that, before the criteria can be used to guide practice, they may need to be changed and refined to take into account the differences between ethnic groups as well as the variations by gender.

Acculturation and education level in relation to quality of the diet: a study of Surinamese South Asian and Afro-Caribbean residents of the Netherlands.

BACKGROUND: To consider the changes in overall diet quality following migration we examined the associations of acculturation variables and education level with diet in Surinamese South Asian and Surinamese Afro-Caribbean origin on the one hand, and ethnic Dutch residents of the Netherlands on the other. Surinam is a former Dutch colony in South America. METHODS: We randomly selected men and women aged 35-60 years: ethnic Dutch, n = 552; South Asian, n = 306; Afro-Caribbean, n = 660. Intakes of fruit, vegetables, red meat, fish, vegetable oils, breakfast and salt were measured using a short questionnaire that formed the basis for a 'diet quality indicator' score. Highest education was measured and acculturation of the Surinamese groups was assessed by age at migration, number of resident years and a scale measure of social contacts with ethnic Dutch. RESULTS: Compared with ethnic Dutch, both Surinamese groups scored higher on overall diet quality (P < or = 0.001) but some aspects of diet (breakfast and salt use) were less prudent. Education was positively associated with diet quality in ethnic Dutch (P < or = 0.01), but not consistently so in Surinamese. Associations with social contact with ethnic Dutch varied for different quality aspects of the diet. Residence duration (mean = 22 years) and age at migration (mean = 21 years) were not associated with diet. CONCLUSIONS: A greater degree of acculturation does not necessarily lead to a less healthful diet in migrants. In addition, the association of education level with diet may differ for migrant groups. The diet of migrants differ from host populations, suggesting that migrant groups should be considered in the development of nutrition health promotion activities.

Factors associated with hypertension awareness, treatment and control among ethnic groups in Amsterdam, the Netherlands: the SUNSET study.

We sought to determine factors associated with hypertension awareness, pharmacological treatment and control among ethnic groups in Amsterdam, The Netherlands. We analysed data on hypertensive subjects (Dutch n=130, Hindustani n=115 and African Surinamese n=225). After adjustments for important covariates, hypertension awareness was more common in Dutch people with abdominal obesity and family history of hypertension (FHH). Abdominal obesity was also associated with higher level of awareness in African Surinamese. Female sex, FHH and recent physician (general practitioner (GP)) visit were associated with higher level of awareness in both African and Hindustani Surinamese. Among the Dutch, hypertension treatment was more common in those with abdominal obesity, FHH and GP visit. Among Hindustanis, female sex, abdominal obesity and GP visit were positively associated with treatment of hypertension. Old age, female sex, FHH and GP visit were positively associated, whereas smoking was negatively associated with lower treatment in African Surinamese. High education and more physical activity were associated with better blood pressure (BP) control, whereas obesity was associated with poor BP control among the Dutch. Among African Surinamese, female sex and FHH were associated with better BP control, whereas abdominal obesity was associated with poor BP control. Only old age was associated with poor BP control in Hindustanis. In conclusion, our findings indicate that more attention is needed in promoting awareness and treatment among those with lower hypertension risk (i.e., normal body weight people and those without FHH), those without recent GP visits in all ethnic groups and African and Hindustani Surinamese men and smokers. More effort is also needed in hypertension control among Dutch people with low education, obesity and inadequate physical activity, African Surinamese men and those without FHH and old Hindustani people.

[Cardiovascular risk factors for Surinamese in the Netherlands: a literature review]. / Cardiovasculaire risicofactoren bij Surinamers in Nederland: een literatuuroverzicht.

OBJECTIVE: To obtain an overview of the prevalence of cardiovascular risk factors in Surinamese (Hindustani and Creoles) individuals in the Netherlands and the implications of this for secondary prevention. DESIGN: Literature study. METHOD: A Medline literature search was carried out for the period 1985-2001 with the keywords 'cardiovascular risk factor' or 'cardiovascular risk factors', and 'Surinamese'. In addition to this, so-called grey literature was searched and the reference lists of articles found were also checked. A total of 7 studies were selected. RESULTS: Smoking is less frequent among Surinamese individuals in the Netherlands compared to the indigenous population, especially in women. The prevalence of both hypertension and diabetes is higher among the Surinamese. Data on dyslipidaemia are almost absent; it is only known that hypercholesterolaemia is less prevalent among the Surinamese. Ethnicity is not included in the risk cards used in the secondary treatment of cardiovascular diseases. CONCLUSION: The lack of research with respect to the cardiovascular risk profile of Surinamese (Hindustani and Creoles) in the Netherlands indicates an unfavourable profile compared to the indigenous Dutch population. This difference justifies further research into the differentiation of prevention and treatment according to ethnic origin.

Explaining educational differences in mortality: the role of behavioral and material factors.

OBJECTIVES: This study examined the role of behavioral and material factors in explaining educational differences in all-cause mortality, taking into account the overlap between both types of factors. METHODS: Prospective data were used on 15,451 participants in a Dutch longitudinal study. Relative hazards of all-cause mortality by educational level were calculated before and after adjustment for behavioral factors (alcohol intake, smoking, body mass index, physical activity, dietary habits) and material factors (financial problems, neighborhood conditions, housing conditions, crowding, employment status, a proxy of income). RESULTS: Mortality was higher in lower educational groups. Four behavioral factors (alcohol, smoking, body mass index, physical activity) and 3 material factors (financial problems, employment status, income proxy) explained part of the educational differences in mortality. With the overlap between both types of factors accounted for, material factors were more important than behavioral factors in explaining mortality differences by educational level. CONCLUSIONS: The association between educational level and mortality can be largely explained by material factors. Thus, improving the material situation of people might substantially reduce educational differences in mortality.

Inequalities in health--future threats to equity.

In discussions about equity there is a tendency to focus on the inequalities in health status that appear to be the result of the material and immaterial consequences of a lower income, professional or social status in society. If we look at publications such as the Black Report in the UK or Ongelijke gezondheid in The Netherlands, we have to accept that despite our universal access to healthcare and the existence in many Western countries of social security measures that preclude 'real' poverty, considerable differences in health continue to exist between socioeconomic groups. This is corroborated for many other European countries in the research carried out by a concerted action led by Mackenbach. These inequalities in health have been referred to in many countries as inequities, meaning that society finds them unjust and expects them to be 'avoidable' or amenable to policy interventions. However, the research on the causal networks underlying the occurrence and the avoidability of inequalities in health remains sparse and intervention studies seem to focus on policy measures that can be evaluated, but which will most likely have a limited impact on the inequalities measured at the population level. Thus the research community leaves policymakers with very little evidence on which to build policy initiatives that are nevertheless requested by many governments. The third element, which needs to be addressed in this context, is the ominous inequality in access to healthcare. Since the debate on equity in health has rightly been initiated in the context of a broader, more intersectoral approach to health policy, very little attention has been paid, so far, to the issue of universal access to quality healthcare services. This is because in the second half of this century most Western (European) countries have created a healthcare system with universal access, financed either through taxation or through social insurance schemes. It is these financing systems that will be threatened in the years to come by the considerable demographic shift occasioned by the ageing of the post-war baby boom and the incentives for risk selection that have been introduced in many systems as part of the 'market' mechanisms. The benefits of these incentives have clearly been a greater efficiency at the patient or service level, but there is still the question of whether it will be a more efficient system also at a population level if equity considerations continue to require a system of universal access to all the healthcare technology that will become available in the coming years. The other side of the coin of risk solidarity is the delimitation of the collective responsibility, thus of a basic benefit package. It is important to realize that equity has been a fundamental underlying value that has led to the creation of the healthcare systems as we know them but which may have become so accepted that it is no longer carefully considered when looking at issues of rationing or health reforms.

Does childhood socioeconomic status influence adult health through behavioural factors?

BACKGROUND: The purpose of this study is to assess to what extent the effect of childhood socioeconomic status on adult health could be explained by a higher prevalence of unhealthy behaviour among those with lower childhood socioeconomic status. METHODS: Data were obtained from the baseline of a prospective cohort study in the Netherlands (13 854 respondents, aged between 25 and 74). Childhood socioeconomic group was indicated by occupation of the father, and adult health was indicated by perceived general health, health complaints and mortality. Adult socioeconomic status was measured by current occupation. Behavioural factors were smoking, alcohol consumption, Body Mass Index and physical activity. Relations were analysed using logistic regression models. RESULTS: A clear association between childhood socioeconomic circumstances and adult health was shown, as well as an association between childhood socioeconomic circumstances and health-related behaviour, even after adjustment for current socioeconomic status. Physical activity shows the strongest relation with childhood socioeconomic circumstances. Behavioural factors explain the relation between childhood socioeconomic status and adult health for approximately 10%. CONCLUSIONS: Childhood socioeconomic circumstances have an independent effect on adult health and health-related behaviour: the risk of health problems and health damaging behaviour is higher in lower childhood socioeconomic groups. The independent effect of childhood circumstances on adult health operates for a small part through unhealthy behaviour.

Cultural, material, and psychosocial correlates of the socioeconomic gradient in smoking behavior among adults.

BACKGROUND: The aim was to identify the correlates of educational differences in smoking among adults. METHODS: We used data from the baseline of a Dutch longitudinal study, relating to a population of 2,462 respondents, ages 25-74. Logistic regression was used to assess the educational gradient in smoking. Current smokers were compared with former and never smokers, respectively. RESULTS: The risk of being a current smoker compared with being a former/never smoker was higher among lower educational groups. For example, the odds of being a current smoker compared with never smoker among persons in the lowest level was more than five times as high as that for persons in the highest level. A substantial part (20-40%) of the increased risk of being a smoker among lower groups appeared to be associated with adverse material conditions. The financial situation especially accounted for that effect. One of the cultural factors, i.e., locus of control, was found to account for approximately 30% of the educational gradient in the case in which smokers were compared with former smokers. Psychosocial factors, i.e., neuroticism and coping styles, accounted for less of the gradient in smoking than cultural and material factors. CONCLUSIONS: On the basis of the results, we hypothesize that both cultural and material factors contribute to the higher smoking rates among lower socioeconomic groups. Psychosocial factors seem to be less important. If our results are confirmed in more powerful studies, this would indicate, first, that possibilities for a reduction of smoking differences may be found in tailoring smoking cessation programs to the more externally oriented locus of control and the coping styles that are common among lower educational groups, and second, that a reduction of smoking differences may follow from an improvement of the material living conditions of lower socioeconomic groups.

Health behaviours explain part of the differences in self reported health associated with partner/marital status in The Netherlands.

STUDY OBJECTIVE: To describe the differences in health behaviours in disparate marital status groups and to estimate the extent to which these can explain differences in health associated with marital status. DESIGN: Baseline data of a prospective cohort study were used. Directly age standardised percentages of each marital group that engaged in each of the following behaviours--smoking, alcohol consumption, coffee consumption, breakfast, leisure exercise, and body mass index--were computed. Multiple logistic regression models were fitted to estimate the health differences associated with marital status with and without control for differences in health behaviours. SETTING: The population of the city of Eindhoven and surrounding municipalities (mixed urban-rural area) in The Netherlands in March 1991. PARTICIPANTS: There were 16,311 men and women, aged 25-74 years, and of Dutch nationality. MAIN RESULTS: There were differences in relation to marital status for each health behaviour. Married people were more likely to practise positive health behaviours (such as exercise and eating breakfast) and less likely to engage in negative ones (such as smoking or drinking heavily) than the other groups. Control for all six health behaviours could explain an average of 20-36% of the differences in perceived and general health and subjective health complaints. CONCLUSIONS: Differences in health behaviours explained a considerable amount, but not all, of the health differences related to marital status. Longitudinal data are necessary to confirm these findings; to determine whether the differences in health behaviours related to marital status are caused by selection effects or social causation effects; and to learn how social control, social support, and stress inter-relate to reinforce negative or to maintain positive health behaviours.

The determinants of excellent health: different from the determinants of ill-health?

BACKGROUND: In the famous definition of the World Health Organization, health is 'a state of complete physical, mental and social well-being, not merely the absence of disease or infirmity'. Until now, the distribution and determinants of the positive end of the health spectrum have not been studied extensively. In an exploratory analysis, we have compared the determinants of excellent health and of ill-health using data from a postal survey among 18,973 people in a region in the southeastern Netherlands. METHODS: Excellent health was defined as the presence of a very good self-assessment of health in the absence of any self-reported chronic condition or health complaint, and was present in 8.2% of the survey population. Ill-health was defined as the presence of two or more self-reported chronic conditions, four or more health complaints and a less-than-good self-assessment of health, and was present in 10.5% of the survey population. The remainder of the survey population was used as a reference group. Two sets of explanatory variables were available: a set of seven socio-demographic variables and a set of nine specific risk factors. Logistic regression analysis was used to assess the strengths and patterns of the associations between the determinants and the two outcome variables, excellent health and ill-health, controlling for age and gender. RESULTS: Both the socio-demographic variables and the specific risk factors had largely similar (but mirrored) patterns of association with excellent health and with ill-health. Important socio-demographic determinants of excellent health (and of ill-health) were education, employment status and urbanization (as well as age and gender). Important specific risk factors were leisure exercise, housing problems, smoking, negative life events, obesity and alcohol intake. The percentage of deviance accounted for by each of these sets of determinants was two to three times as large in the case of ill-health as in the case of excellent health. CONCLUSION: The processes by which excellent health is generated probably have much in common with those which generate ill-health. At the same time it is obvious that our understanding of the determinants of ill-health is better than that of the determinants of excellent health, and further study of the latter is recommended.

Validation of cancer prevalence data from a postal survey by comparison with cancer registry records.

Data on self-reported cancer from a health interview survey carried out in 1991 in the southeastern Netherlands by means of a postal questionnaire (n = 17,940) were validated against records from a population-based cancer registry. The sensitivity of the questionnaire was 0.552 (95% confidence interval (CI) 0.507-0.597), and the specificity was 0.995 (95% CI 0.994-0.996). The survey underestimated cancer prevalence in the population by 25%. Of the 212 false negative cases, 46% were registered with non-melanoma skin cancer. After the exclusion of nonmelanoma skin cancer from cancer registry records, cancer prevalence was overestimated by the survey by a negligible 2%. The misclassification of cancer by the postal survey was differential according to age, sex, education, and degree of urbanization. The survey overestimated cancer prevalence ratios for men versus women, old respondents versus young respondents, and urban residents versus rural residents. The prevalence ratios for respondents with a low educational level versus those with a high level were underestimated using survey data. These patterns remained essentially the same after exclusion of nonmelanoma skin cancer from the cancer registry records. This study shows that both overall cancer prevalence and differences in cancer prevalence between subgroups of the population may be biased when health interview survey data are used. If explicit attention is paid to nonmelanoma skin cancer in survey questions, this might improve the validity of overall cancer prevalence estimates, but not that of comparisons between subgroups of the population.

A prospective cohort study investigating the explanation of socio-economic inequalities in health in The Netherlands.

In this paper, the objectives, design, data-collection procedures and enrollment rates of the Longitudinal Study on Socio-Economic Health Differences (LS-SEHD) are described. This study started in 1991, and is the first large-scale longitudinal study of the explanation of socio-economic inequalities in health in the Netherlands. The LS-SEHD aims at making a quantitative assessment of the contribution of different mechanisms and factors to the explanation of socio-economic inequalities in health. It is based on a research model incorporating both 'selection' and 'causation' mechanisms, and a wide range of specific factors possibly involved in these mechanisms: health-related life-style factors, structural/environmental factors, psychosocial stress-related factors, childhood environment, cultural factors, psychological factors, and health in childhood. The design of the LS-SEHD is that of a prospective cohort study. An aselect sample, stratified by age, degree of urbanization and socio-economic status, for approx. 27,000 persons was drawn from the population registers in a region in the Southeastern part of The Netherlands. The persons in this sample received a postal questionnaire. An aselect subsample of approx. 3500 persons from the respondents to the postal questionnaire was, in addition, approached for an oral interview. The follow-up of these samples will use routinely collected data (mortality by cause of death, hospital admissions by diagnosis, cancer incidence), as well as repeated postal questionnaires and oral interviews. The response rate to the base-line postal questionnaire was 70.1% (n = 18,973), and that to the base-line oral interview was 79.4% (n = 2802). If the LS-SEHD is compared to a number of frequently cited longitudinal studies of socio-economic inequalities in health from the United Kingdom, it appears that the differences with the OPCS Longitudinal Study and the birth cohort studies (such as the National Survey of Health and Development) are huge. The LS-SEHD is more akin to the Whitehall(I)-study and the West of Scotland 20-07 study. For example it has the sample size of the former but the open population and emphasis on social factors of the latter. A comparison of the results of various longitudinal studies of socio-economic inequalities in health is recommended.