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The objective of this study was to determine the relative importance of cultural and economic factors in mortality decline in the Netherlands in the periods 1875/1879-1895/1899 and 1895/1899-1920/1924. Mortality data by region, age, sex and cause of death as well as population data were derived from Statistics Netherlands for the years 1875/1879, 1885/1889, 1895/1899, 1910/1914, 1920/1924. Regional mortality declines were estimated on the basis of Poisson regression models. In a multivariate analysis the estimated declines were associated with economic (wealth tax) and cultural variables (% Roman Catholics and secularisation) corrected for confounders (soiltype, urbanisation). In the period from 1875/1879-1895/1899, %Roman Catholics was significantly associated with all-cause mortality decline and with mortality decline from diseases other than infectious diseases. Mortality declined less rapidly in areas with a high percentage of Roman Catholics. Secularisation was significantly associated with infectious-disease mortality decline. In areas with a high percentage population without a religious affiliation, mortality declined more rapidly. In the period from 1895/1899 to 1920/1924, wealth tax was significantly associated with all-cause and infectious-disease mortality decline. Mortality declined more rapidly in wealthy areas. Intermediary factors in the relationship between cultural factors and mortality decline were fertility decline, but more importantly, the number of medical doctors per 100,000 inhabitants. No intermediary factors were found for the association between the economic variable and mortality decline. Cultural and economic factors both played an important role in mortality decline in The Netherlands, albeit in different periods of time. The analysis of intermediary factors suggests that the acceptance of new ideas on hygiene and disease processes was an important factor in the association between culture and mortality decline in the late 19th century.

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OBJECTIVE: To study the relative importance of various determinants of total and cause-specific infant and early childhood mortality rates and their decline in The Netherlands in the period 1875-1879 to 1895-1899. DATA AND METHODS: Mortality and population data were derived from Statistics Netherlands for 16 towns and 11 rural areas. Mortality levels and their decline were estimated with a Poisson regression model. The associations of the estimated levels and declines, and determinants of infant and early childhood mortality were analysed using multivariate linear regression analysis. The causes of death studied were major contributors to infant mortality (convulsions, acute digestive disease, acute respiratory disease) and early childhood mortality (encephalitis/meningitis, acute respiratory disease, measles). RESULTS: Infant mortality rates were high in the south-western part of The Netherlands in 1875-1879. Due to a rapid decline in the western regions, this pattern changed to a north-south gradient in 1895-1899. Early childhood mortality showed an urban-rural gradient in 1875-1879 with mortality high in towns. This gradient had largely disappeared by 1895-1899, due to a rapid decline in mortality in towns. Roman Catholicism was significantly associated with infant mortality (particularly from diarrhoeal disease) in 1875-1879 and 1895-1899. The association with Roman Catholicism was stronger in 1895-1899 because mortality declines were less rapid in Roman Catholic areas in 1875-1879 to 1895-1899. Urbanization was significantly associated with early childhood mortality (particularly from respiratory disease) in 1875-1879 and 1895-1899. This association weakened over time, due to the rapid decline in mortality in towns. CONCLUSIONS: Different determinants of mortality (decline) were important in infant and early childhood mortality and they acted on different causes of death. Therefore, infant and childhood mortality should be studied separately. International comparison of the results showed that findings with respect to determinants of mortality (decline) for one country do not necessarily apply to other countries. The results for The Netherlands with respect to infant mortality differed from England and Wales.

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The aim of this paper is to give a detailed and fairly objective description of rapid mortality decline in The Netherlands between 1850 and 1992 with respect to the start, end, and phases of the decline. Turning points were estimated for the standardized mortality trend, and for age and sex-specific trends between 1850-1992. The technique used was derived from spline functions. The turning points divided the trends into phases with different paces of decline. Standardized mortality started to decline rapidly in The Netherlands around 1880. Four phases in the period of decline could be distinguished: 1880-1917 (1.2% annually), 1917-1955 (1.6%), 1955-1970 (0.4%), 1970-1992 (1.1%). For nearly all age groups, the most rapid decline occurred in a period comparable to 1917-1955. Causes of death which might have shaped the standardized mortality trend are, among others, respiratory tuberculosis (1917), heart disease (except ischemic) (1955), and ischemic heart disease (1970). Causes of death that shaped the mortality trend are related to trends of determinants of mortality decline. The technique used in this paper can also be applied to other trends e.g. fertility decline.

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We examined whether differences in health were associated with different probabilities of marital transitions in a longitudinal study, using Cox proportional hazard analysis. Data on approximately 10,000 Dutch persons of the GLOBE study, aged 15-74 years, were used for this purpose. The study started in 1991 and study subjects have been followed for 4.5 years. Of the four marital transitions studied (marriage among never married and divorced persons, and divorce and bereavement among married persons), only divorce among married persons was associated with health status: married persons who reported four or more subjective health complaints or two or more chronic conditions were, respectively, 1.5 and two times more likely to become divorced during follow-up than persons without these health problems. Since hardly any other studies have examined the role of health selection in marital transition with longitudinal data, more research is required before firm conclusions can be drawn. It can be concluded, however, that the frequently made assumption that health selection contributes only little to the explanation of health differences between marital status groups, seems, at least for the divorced, not justified.

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BACKGROUND: The objective of this study is to produce a detailed yet robust description of the epidemiologic transition in The Netherlands. METHODS: National mortality data on sex, age, cause of death and calendar year (1875-1992) were extracted from official publications. For the entire period, 27 causes of death could be distinguished, while 65 causes (nested within the 27) could be studied from 1901 onwards. Cluster analysis was used to determine groups of causes of death with similar trend curves over a period of time with respect to age- and sex-standardized mortality rates. RESULTS: With respect to the 27 causes, three important clusters were found: (1) infectious diseases which declined rapidly in the late 19th century (e.g. typhoid fever), (2) infectious diseases which showed a less precipitous decline (e.g. respiratory tuberculosis), and (3) non-infectious diseases which showed an increasing trend during most of the period 1875-1992 (e.g. cancer). The 65 causes provided more detail. Seven important clusters were found: four consisted mainly of infectious diseases, including a new cluster that declined rapidly after the Second World War (WW2) (e.g. acute bronchitis/influenza) and a new cluster showing an increasing trend in the 1920s and 1930s before declining in the years thereafter (e.g. appendicitis). Three clusters mainly contained non-infectious diseases, including a new one that declined from 1900 onwards (e.g. cancer of the stomach) and a new one that increased until WW2 but declined thereafter (e.g. chronic rheumatic heart disease). CONCLUSIONS: The results suggest that the conventional interpretation of the epidemiologic transition, which assumes a uniform decline of infectious diseases and a uniform increase of non-infectious diseases, needs to be modified.

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The relationship between fecundability and month of birth was investigated in a cohort of 1526 women who married between 1802 and 1929, using only women whose first marriage occurred before the age of 35 years. On the basis of their time to pregnancy (TTP, calculated as time between wedding and first birth minus gestational length), women were categorized into two groups: fecunds (TTP up to 12 months or prenuptial conceptions, n = 1348) and subfecunds (TTP >18 months, n = 118). By use of logistic regression, cosinor functions with a period of 1 year or 6 months and variable shift and amplitude were fitted through the monthly odds of subfecunds versus fecunds. The best fitting curve was unimodal, with a zenith in September (P = 0.13 for H0: no differences). Exclusion of childless women (n = 36, minimum follow-up 5 years) from the subfecunds led to a similar curve (P < 0.01), while childless women, as compared with fecunds, showed a birth distribution that was best represented with a bimodal curve with zeniths in January and July (P = 0.06). This study provides evidence for the existence of differences in fecundability by month of birth. The cause of this relationship is unclear, but may lie in a melatonin-dependent circannual variability of the quality of the oocyte.

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"This article describes a method for reclassifying causes of death in the Netherlands for the period 1875-1992....A method developed by Vallin and Mesle (1988), which involves ¿dual correspondence tables' and ¿fundamental associations', was used to create nosologically continuous categories. These categories were tested for statistical continuity during the transition years of one ICD-revision [International Classification of Diseases] to the next, using ordinary least squares regression analysis. The reclassification procedure resulted in a nested classification consisting of three levels of refinement of causes of death: 27 causes, 1875-1992; 65 causes, 1901-1992; and 92 causes, 1931-1992. On the basis of this classification, 43% of all deaths in 1875-79 and 98% of all deaths in 1992 could be allocated to either communicable diseases, non-communicable diseases or external causes." (SUMMARY IN FRE)

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During the last months of the Second World War the Western Netherlands was affected by an acute famine, known as the Hunger Winter. Food intake from all sources was reduced to extremely low levels. The effect on mortality at all ages was very large and immediate. By making use of unpublished data from the Dutch Central Bureau of Statistics, estimates could be made of the changes in mortality by cause of death and age for both sexes. Mortality due to hunger was most common in the very young and the very old whereas the effects in males were more pronounced than in females. Hunger was a contributing factor to the increased mortality due to infectious diseases and diseases of the digestive system. In several follow-up studies on selected populations, long-term consequences of the famine could be studied. They related to reproductive outcomes of women who gave birth during the Hunger Winter, to birth weight, malformations, and perinatal mortalitiy of the newborn who were exposed to the famine during gestation, and to the long-term effects of the famine on the medical and psychological situation of infants born during the famine. Several studies on reproductive outcomes in the subsequent generation are also discussed.

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It has frequently been shown that the never married, divorced and widowed have higher rates of self-reported morbidity than married people. The purpose of this study was to assess to what extent morbidity differences by marital status can be explained by differences in living arrangement (i.e. living with a partner or not). If living arrangement plays a major role, one expects to find that: 1. people who live with a partner have lower morbidity rates than those who live alone; 2. morbidity differences by marital status decrease substantially after controlling for living arrangement. Data from the GLOBE study, a large prospective cohort in the Netherlands, on 18,973 people from Eindhoven and its surroundings, aged 15-74, were used to test the hypotheses. The measures for morbidity were perceived general health, subjective health complaints, chronic conditions and work disability. Multiple logistic regression models were used to calculate odds ratios for morbidity by living arrangement (question 1) and for morbidity by marital status, firstly without control and subsequently with control for living arrangement (question 2). In all models we controlled for other sociodemographic variables (age, sex, educational level, degree of urbanization, religion and country of birth). Our analyses showed that people who live with a partner have lower morbidity rates than those who live alone. They further showed that the excess risks of the never married, widowed and divorced decreased by 40-70% for all health measures (except subjective health complaints) after controlling for living arrangement.(ABSTRACT TRUNCATED AT 250 WORDS)

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This article aims to give a brief overview of the actual demographic and socio-economic situation of the elderly in the Netherlands. In view of the fact that the ageing process is still in a comparatively early phase, but will gain momentum during the course of the next century, attention is also paid to future developments. In addition, issues which are related to research on the elderly and on an ageing society, are discussed within the framework of Dutch research activities in the field of demography.

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