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The European Journal of Public Health Advance Access originally published online on September 1, 2005
The European Journal of Public Health 2006 16(3):305-314; doi:10.1093/eurpub/cki164
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© The Author 2005. Published by Oxford University Press on behalf of the European Public Health Association. All rights reserved.

Socioeconomic Disparities in Health

Determinants of health in early adulthood: what is the role of parental education, childhood adversities and own education?

Laura Kestilä1, Seppo Koskinen1, Tuija Martelin1, Ossi Rahkonen2, Tiina Pensola3, Hillevi Aro4 and Arpo Aromaa1

1 National Public Health Institute (KTL), Department of Health and Functional Capacity, Helsinki, Finland
2 University of Helsinki, Department of Public Health, Helsinki, Finland
3 Rehabilitation Foundation, Helsinki, Finland
4 National Public Health Institute (KTL), Department of Mental Health and Alcohol Research, Helsinki, Finland

Correspondence: Laura Kestilä, MSocSci, National Public Health Institute (KTL), Department of Health and Functional Capacity, Mannerheimintie 166, FI-00300 Helsinki, Finland, tel: +358 9 4744 8795, fax: +358 9 4744 8924, e-mail: laura.kestila{at}ktl.fi

Received January 28, 2005, accepted June 22, 2005


    Abstract
 Top
 Abstract
 Data and methods
 Results
 Discussion
 References
 
Background: Of the many studies assessing the impact of childhood living conditions on health and health inequalities in adulthood, only few have combined information on current determinants of health with detailed individual level data on different aspects of childhood living conditions and adversities. This study aims (i) to assess the role of parental education, self-reported childhood adversities and family structure as determinants of different dimensions of health in early adulthood, and (ii) to identify the role of the respondent's own education as a modifier of the association between childhood living conditions and health. Methods: The study is based on a representative sample (n = 3669; participation rate 83%) of young adults aged 18–39 years in 2000 in Finland. The main outcome measures were poor self-rated health (SRH), psychological distress (by GHQ12) and somatic morbidity. Results: Parental education, problems in childhood and the respondent's own education were independently related to SRH and psychological distress. The impact of childhood living conditions on health varied by gender and according to the measure of health. Childhood conditions were strongly associated with poor SRH and psychological distress, whereas the connection with somatic morbidity was weaker. The associations remained relatively unchanged after controlling for the respondent's own education. Conclusions: Childhood living conditions and adversities are strongly associated with poor SRH and psychological distress in early adulthood. Early recognition of childhood adversities followed by relevant support measures may play an important role in preventing health problems in adulthood.

Keywords: childhood living conditions, GHQ12, life course, self-rated health, socioeconomic factors

The general pattern of better health among those in a better socioeconomic position is well known.15 The origins of poor adult health can be seen in the circumstances preceding the current social position and living conditions: in a damaging insult during a critical period of development at a very early stage of life (biological programming69), or in the accumulation of detrimental exposures throughout the life course (social pathways1012). The life course approach to disease epidemiology1013 suggests that long-term exposure to physical risks or adverse social and economic circumstances1416 or concurrent adverse circumstances due to unfavourable living conditions in earlier life may lead to poor health, disease and even premature death in adulthood.

It has been argued that current socioeconomic status and living conditions are stronger determinants of adult health than circumstances in earlier life.1719 However, the impacts of childhood living conditions and adversities and parental socioeconomic status on adult health and health differences have been observed in several studies for several measures of health, such as self-rated health (SRH) and chronic diseases,18,2025 psychological health measures2629 and mortality.17,3034 Persons who lived in poor economic and social childhood conditions tend to have poorer health in adulthood.

Only few studies have combined information on the effects of childhood living conditions and problems and current socioeconomic conditions as determinants of adult health. In addition, the majority of studies have concentrated on specific health problems without trying to separate possible different associations of psychological, somatic and perceived health with social determinants. There is a particular need for information on the determinants of health in early adulthood, a period of various important transitions relevant to later life and health.

In this study we examine the relationship between various indicators of economic and social conditions and problems in childhood and three indicators of health in early adulthood: poor SRH, psychological distress and somatic morbidity. Our aims are (i) to assess the role of parental education, self-reported childhood adversities and family structure as determinants of different dimensions of health, and (ii) to identify the role of the respondent's own education as a modifier of the association between childhood living conditions and health.


    Data and methods
 Top
 Abstract
 Data and methods
 Results
 Discussion
 References
 
Participants
This study is based on a sample of 3669 young adults in Finland aged 18–39 years at the mid-year 2000. The two-stage cluster sample was representative of the entire country. The data were collected in 2000–2001 as part of the Health 2000 survey (n = 9922).35 Health 2000 obtained a broad array of data on health status, health determinants and use of health care mainly by extensive home interviews and by a health examination in age group 30 years and over. In age group 18–29 years all information was obtained by standardized structured computer-aided interviews (CAPI) and self-administered questionnaires. The participation rate was high: 83% of the sample (79% in age group 18–29 years and 87% in age group 30–39years) participated in the phases of the survey on which this study is based. The General Health Questionnaire (GHQ12) and questions concerning childhood adversities were asked in the questionnaire, which 89% of the participants answered.

Outcome measures
For this study we selected three outcome measures representing different dimensions of health in order to obtain a multifaceted description of the associations between childhood living conditions and health.

SRH was based on the question ‘in general, would you say your health is ...’, with five response alternatives ranging from good to poor. Participants reporting the three poorest levels (`average', ‘quite poor’, ‘poor’) of health were classified as having ‘poor SRH’. SRH is an important instrument in studying a population's health3639 and differences between subgroups of a population.4042 SRH has also been claimed to be a very strong predictor of functional capacity,43,44 future health problems45,46 and mortality.40,4749

Psychological distress was measured using the 12-item GHQ12.5052 The respondents were asked a series of 12 questions concerning psychological symptoms, such as a lack of concentration, sleeping difficulties, perceived stress and lack of self-confidence. The questionnaire was scored according to the normal method of the GHQ53 by designating each symptom as absent or present (0 or 1) in the four-item response scale (e.g. not at all, no more than usual, rather more than usual, much more than usual). Thus the range of the total score was 0–12, and it was accepted only if there were 10 or more valid items in the scale. The GHQ12 sum was dichotomised at the point 2/3, where a score of 3 or more was used to define those with psychological distress.

Somatic morbidity was based on several questions inquiring whether a doctor had ever diagnosed the respondent as having a specified chronic somatic disease, and a complementary open-ended question coded on the basis of the ICD classification. This approach has been successfully used in many earlier Finnish national health surveys and by comparison with simultaneous clinical examinations we have shown54 that the agreement between open-ended self-reports and doctors' diagnoses depend on the condition and range from excellent (cardiovascular diseases) to moderate (musculoskeletal diseases). The respondents were considered to have a somatic disease if they reported at least one disease included in our list of 33 somatic disorders, ranging from serious congenital conditions to milder chronic somatic disorders. For some diseases additional criteria were set. For example, asthma, arrhythmias, hypertension, back disorders, allergic and skin diseases as well as urinary infections were only considered to be present if the respondents reported being in a physician's care or using regular medication because of their disease. Among those 902 persons considered to have at least one chronic somatic disease, the most common conditions were skin diseases (22%), serious allergies (15%), asthma (14%), back disorders (12%), other musculoskeletal disorders (12%), serious headache (10%), hypertension (6%) and diabetes (5%).

Parental education and childhood living conditions
Parental education was based on the participant's response concerning his/her mother's and father's basic and vocational education, categorised as ‘primary level education only’, ‘primary level and some vocational education’, ‘middle school’, ‘secondary school graduate’, ‘didn’t live with mother/father' and ‘can’t say'.

Family structure was based on the question ‘when starting school (i.e. when you were about 7 years old), did you live ...’, with four possible response alternatives ‘at home with both your parents’, ‘with only one parent’, ‘with relatives such as grandparents’ and ‘in an orphanage or other institution’. Participants reporting the last two alternatives were combined as having ‘other living arrangement’. The number of siblings was based on an open-ended question ‘how many siblings do you have/have you had (including stepsisters and stepbrothers, both dead and living counted)?’ The categories ‘none’, ‘one’ and ‘two or more’ were constructed.

Childhood adversities were based on the question ‘when you think about your growth years, i.e. before you were aged 16, did you ... ?’, describing the factors among those known to be most common and most likely to affect a growing child. Eleven problems were enquired in the data: long-term financial difficulties in the family, parents' regular unemployment, parents' divorce, father's/mother's alcohol problems, father's/mother's mental health problems, parents' serious disease or disability, own serious or chronic illness, serious conflicts within the family and bullying at school. The reliability of retrospective reports of adverse childhood experiences have been assessed and found to have a good test–retest reliability.55 For each variable, those reporting a problem (`yes') were categorized as ‘reporting the problem’ and those with ‘no’ or ‘can’t say' were categorized as ‘not reporting the problem’.

Respondent's own education
The measure of respondent's own education was based on the highest completed degree. Because many persons below the age of 30 years were still studying (21%), the measure for students aged 18–29 years was based on the highest of one of the achieved and the expected level of education (assuming that the person completes the ongoing studies). Four categories were constructed according to this information: ‘only primary school’, ‘lower or upper secondary or lowest tertiary’, ‘lower-degree level tertiary’ and ‘higher degree level tertiary or higher’.

Distribution of father's education, mother's education, family structure, number of siblings, childhood adversities and respondent's own education by gender and age group are presented in table 1.


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Table 1 Distribution of father's education, mother's education, family structure, number of siblings, childhood adversities and respondent's own education by gender and age group (%)

 
Statistical analysis
In the first stage of the analysis, we describe the prevalence of different childhood living conditions, as well as the distribution of poor SRH, psychological distress and somatic morbidity by gender and age. The significance of the differences between genders and between age groups were tested for childhood adversities. In order to explore how different childhood adversities correlate with each other, pairwise Pearson correlations were calculated. In addition, age-adjusted associations between different health measures are presented.

In the second stage of the analysis, the associations between each health measure and childhood living conditions were analysed with logistic regression using STATA software. The data were weighted to take into account the sampling design and non-response.35 Results are presented in terms of odds ratios, together with 95% confidence intervals. Results are presented separately for men and women because of the interactions between gender and some of the explanatory factors. Finally, the effect of the respondent's own education was adjusted using the same procedure.


    Results
 Top
 Abstract
 Data and methods
 Results
 Discussion
 References
 
Age and gender differences in reporting childhood adversities
Commonly reported childhood adversities included father's alcohol problem, long-term financial problems in the family, parents' divorce, serious conflicts within the family, parents' serious illness or disability and bullying at school (13–29%) (table 1). Less frequently (2–8%) reported problems were parents' mental health problems, mother's alcohol problem and the respondent's own serious or chronic illness. Women reported childhood adversities more often than did men. In responses concerning long-term financial problems, parents' alcohol problems and serious conflicts within the family, the gender difference was significant within both age groups. The prevalence of childhood adversities also varied with age. Parents' regular unemployment and parents' divorce were more common in the younger age group, as was bullying at school and mother's alcohol problem among women. Parents' serious disease or disability was more commonly reported in the older age group.

In general, the pairwise correlations between different childhood adversities were below 0.4. The strongest correlations were found between serious conflicts within the family and father's alcohol problem (r = 0.42), between parents' divorce and serious conflicts within the family (r = 0.33), and between long-term financial problems and regular unemployment (r = 0.31). No negative correlations between childhood adversities were found.

Variation of health by childhood living conditions
Each health problem was significantly more common in the older age group (table 2). Poor SRH was more common among men (P < 0.05), whereas psychological distress and somatic morbidity was more common among women (P < 0.001). Having a health problem was associated with an increased probability of also having another health problem. However, the correlation coefficients between the three measures of ill-health were quite low: r = 0.09 between psychological distress and somatic morbidity, r = 0.16 between poor SRH and somatic morbidity, and r = 0.25 between poor SRH and psychological distress.


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Table 2 Prevalence of poor SRH, psychological distress and somatic morbidity by gender and age group (%): age-adjusted associations (%) between the different measures of health

 
Tables 3–5 present the results of models concerning the contribution of childhood living conditions to SRH, psychological distress, and somatic morbidity, respectively.


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Table 3 Odds ratios (95% confidence intervals) for average or worse self-reported health for men and women by father's education, mother's education, family structure, number of siblings, childhood adversities and respondent's own education

 
Poor SRH
Father's education was not associated with poor SRH either in the age-adjusted model or in the fully adjusted model (table 3, Models 0 and I). However, mother's education was an important determinant of SRH, especially for women: mother's high educational level was associated with a low risk of poor SRH even when all childhood conditions were included in the model.

Men who had lived with only one parent during childhood were more likely to report poor SRH than those who had lived with two parents. The association remained but lost its significance after adjusting for all childhood conditions. Among women the association was not significant. Number of siblings was not associated with SRH.

After controlling for age, most of the childhood adversities were strongly associated with poor SRH, especially for women (Model 0). Adding all the childhood conditions to the model at the same time reduced the associations (Model I), but the respondent's own chronic illness remained strongly associated with poor SRH among both men and women. In addition, for women, serious conflicts within the family and bullying at school were also related to poor SRH in the model, including all childhood adversities. Among men, long-term financial problems, father's mental health problems and parents' serious illness or disability were connected with poor SRH, also in Model I.

Significant differences in poor SRH were found according to the respondent's own education: low educational level was associated with poor SRH, and this association was not attenuated by including childhood conditions in the model (Model II). Correspondingly, associations between childhood living conditions and SRH remained relatively unchanged after controlling for the respondent's own education.

Psychological distress
Contrary to the findings concerning SRH, mother's education was not associated with psychological distress, and having lived with a highly educated father appeared to increase the risk of psychological distress (table 4). Men who had lived with just one parent in childhood had a higher risk of being psychologically distressed than those who lived with two parents. Men with one sibling reported higher levels of psychological distress even when all other factors were controlled for (Model I), but the number of siblings did not determine psychological distress among women.


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Table 4 Odds ratios (95% confidence intervals) for psychological distress (GHQ ≥3) for men and women by father's education, mother's education, family structure, number of siblings, childhood adversities and respondent's own education

 
After controlling for age (Model 0), almost all childhood adversities were found to be significantly associated with psychological distress, among both men and women. Although associations attenuated when all childhood conditions were included in the model, many associations remained statistically significant (Model I). For men, many childhood adversities, but especially long-term financial problems, mother's alcohol problem and bullying at school, were associated with psychological distress. Among women, especially parents' mental health problems were associated with psychological distress. For both genders, the respondent's own chronic or long-term illness was an important determinant of psychological distress as well.

As observed for poor SRH, adding the respondent's own education to the model with all childhood adversities only had a minor effect on the associations between childhood circumstances and psychological distress (Model II). Psychological distress did not vary significantly according to the respondent's own education.

Somatic morbidity
In comparison with the other two health measures, somatic morbidity was less closely associated with childhood living conditions (table 5). Parental education, family structure and number of siblings were not significantly associated with somatic morbidity except for mother's educational level, which was negatively associated with the risk of somatic morbidity among women.


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Table 5 Odds ratios (95% confidence intervals) for one or more somatic health problems for men and women by father's education, mother's education, family structure, number of siblings, childhood adversities and respondent's own education

 
After controlling for age, only a few childhood adversities were significantly associated with somatic morbidity, and adding all childhood conditions to the model at the same time did not change the results considerably (Model I). Naturally, a person's own chronic or long-term illness was strongly associated with somatic morbidity for both genders. For men, bullying at school was also associated with somatic morbidity.

The associations remained relatively unchanged after controlling for the respondent's own education (Model II). The apparent increase in somatic morbidity with a declining educational level of the respondent was not statistically significant.


    Discussion
 Top
 Abstract
 Data and methods
 Results
 Discussion
 References
 
According to this study, SRH, psychological distress and somatic morbidity had only weak correlations, and they seemed to measure different dimensions of health. Our main results show that parental education, self-reported childhood adversities and the respondent's own education are independently related to SRH and psychological distress. However, associations with somatic morbidity are weaker. In line with previous investigations, we found, on the one hand, that better childhood conditions were associated with better adult health,20,22,24,26 and on the other that a higher current socieconomic status was associated with better health.5,1719

This study was based on a nationally representative sample with a high participation rate (83%). Also, the breadth of indicators of childhood living conditions and current health is a strength of this study. However, we could only put a crude time on the age at which the subjects had been exposed to the various problems during childhood. The possible effects of these difficulties on later health and level of education obtained may depend on the age at which they are experienced. Furthermore, retrospective information on childhood conditions may give rise to bias in the results. It is possible that current health or its determinants to some extent affect the retrospective perceptions of childhood conditions and problems. The information on living conditions and on health status can be considered independent since they were collected as part of a large survey without special emphasis on only the data considered here.

A clearly larger proportion of women than men reported childhood adversities. The difference was particularly marked in the case of items open to interpretations (e.g. conflicts within the family). We suggest that girls may be more sensitive to these problems in childhood and also be more prone to report them.

Many studies have found that women report higher rates of morbidity, disability and health care use than do men,5658 although there are also studies showing no clear gender differences.59,60 In this study, women reported psychological distress and somatic disorders more often than did men. However, men rated their health as poorer than women. On the basis of our data it is not possible to assess the extent to which these gender differences in self-reported health reflect gender patterns in reporting and to what extent they arise from gender differences in different dimensions of health.

After controlling for age, almost all of the childhood adversities were found to be significantly associated with poor SRH and psychological distress, but much weaker connections were found with somatic morbidity. Both poor SRH and psychological distress are associated with many psychosocial determinants related to circumstances in childhood and in the current living environment.18,20,26 A large number of studies have also shown that many common somatic disorders depend on social factors in middle-aged and elderly persons.1,2,10 The lack of such an association among young adults in our study is most likely due to the very different physical disease spectrum in young adulthood as compared with older ages. In particular, lifestyle-determined common chronic conditions such as cardiovascular diseases, chronic bronchitis and chronic obstructive pulmonary disease are practically non-existent in young adults and it is just those that have been shown to be associated with socioeconomic status in later life. Furthermore, some increasing disease groups such as allergies and asthma common in the young have been suggested to be more common in higher socioeconomic groups.61

We found substantial gender differences in the social determinants of health. For both genders, especially conflicts within the family and long-term financial problems during the upbringing were particularly strongly associated with poor SRH and psychological distress. For women, mother's education seemed to be an important determinant of SRH and parents' mental health problems were strongly associated with psychological distress. Among men, having lived with only one parent was strongly associated with poor SRH and psychological distress. Corresponding results have been reported previously, at least for mortality.34

There are three principal conclusions from our study. First, the impact of childhood living conditions on health varies according to the measure of health used: childhood conditions were strongly associated with poor SRH and psychological distress, whereas somatic diseases and disorders typical of young adults are not or are only weakly associated with these factors. Secondly, the influence of past living circumstances on health and reporting of symptoms and problems varies between genders. Thirdly, early recognition of childhood adversities followed by relevant support measures may play an important role in preventing health problems in adulthood. In this study, lifestyles were not addressed, but future research on adult health from the life course perspective should incorporate lifestyles as possible mediators of the effects of social factors in determining health.


Key points

  • The influence of parental and own education, self-reported childhood adversities and childhood family structure on health in early adulthood is examined.
  • Childhood conditions were strongly associated with self-rated health and psychological distress, whereas the connection with somatic morbidity was weaker.
  • The associations remained relatively unchanged after controlling for the individual's own education.
  • Early recognition of childhood adversities followed by relevant support measures may prevent health problems in adulthood.

 


    Acknowledgments
 
We are indebted to the Yrjö Jahnsson Foundation (#4880) for funding the study. O.R. is supported by the Academy of Finland (#45664). The authors report no competing interests.


    References
 Top
 Abstract
 Data and methods
 Results
 Discussion
 References
 
1 Lahelma E, Rahkonen O. Health inequalities in modern societies and beyond. Introduction. Soc Sci Med 1997;44:721–2.[CrossRef][Web of Science][Medline]

2 Mackenbach JP, Bos V, Andersen O et al. Widening socioeconomic inequalities in mortality in six Western European countries. Int J Epidemiol 2003;32:830–7.[Abstract/Free Full Text]

3 Davey Smith G, Hart C, Hole D et al. Education and occupational social class: which is the more important indicator of mortality risk? J Epidemiol Community Health 1998;52:153–60.[Abstract]

4 Fox J. Health inequalities in European countries. Gower: Aldershot, 1989.

5 Rahkonen O, Arber S, Lahelma E. Health inequalities in early adulthood: a comparison of young men and women in Britain and Finland. Soc Sci Med 1995;41:163–71.[CrossRef][Web of Science][Medline]

6 Power C, Hertzman C. Social and biological pathways linking early life and adult disease. Br Med Bull 1997;53:210–21.[Abstract/Free Full Text]

7 Barker DJ, Eriksson JG, Forsen T, Osmond C. Fetal origins of adult disease: strength of effects and biological basis. Int J Epidemiol 2002;31:1235–9.[Abstract/Free Full Text]

8 Barker DJ, Forsen T, Uutela A et al. Size at birth and resilience to effects of poor living conditions in adult life: longitudinal study. BMJ 2001;323:1273–6.[Abstract/Free Full Text]

9 Lucas A. Programming by early nutrition in man. Chichester: John Wiley and Sons, 1991.

10 Power C, Matthews S. Origins of health inequalities in a national population sample. Lancet 1997;350:1584–9.[CrossRef][Web of Science][Medline]

11 Ben-Shlomo Y, Kuh D. A life course approach to chronic disease epidemiology: conceptual models, empirical challenges and interdisciplinary perspectives. Int J Epidemiol 2002;31:285–93.[Free Full Text]

12 Pensola T, Martikainen P. Life-course experiences and mortality by adult social class among young men. Soc Sci Med 2004;58:2159–70.

13 Kuh D, Ben-Shlomo Y (eds). A life course approach to chronic disease epidemiology. New York: Oxford University Press, 1997.

14 Hertzman C, Power C, Matthews S, Manor O. Using an interactive framework of society and lifecourse to explain self-rated health in early adulthood. Soc Sci Med 2001;53:1575–85.[CrossRef][Web of Science][Medline]

15 Wadsworth ME. Health inequalities in the life course perspective. Soc Sci Med 1997;44:859–69.[CrossRef][Web of Science][Medline]

16 Wadsworth ME. Changing social factors and their long-term implications for health. Br Med Bull 1997;53:198–209.[Abstract/Free Full Text]

17 Lynch JW, Kaplan GA, Cohen RD et al. Childhood and adult socioeconomic status as predictors of mortality in Finland. Lancet 1994;343:524–7.[CrossRef][Web of Science][Medline]

18 Rahkonen O, Lahelma E, Huuhka M. Past or present? Childhood living conditions and current socioeconomic status as determinants of adult health. Soc Sci Med 1997;44:327–36.[CrossRef][Web of Science][Medline]

19 Marmot M, Shipley M, Brunner E, Hemingway H. Relative contribution of early life and adult socioeconomic factors to adult morbidity in the Whitehall II study. J Epidemiol Community Health 2001;55:301–7.[Abstract/Free Full Text]

20 Dube SR, Felitti VJ, Dong M et al. The impact of adverse childhood experiences on health problems: evidence from four birth cohorts dating back to 1900. Prev Med 2003;37:268–77.[CrossRef][Web of Science][Medline]

21 Dong M, Giles WH, Felitti VJ et al. Insights into causal pathways for ischemic heart disease: adverse childhood experiences study. Circulation 2004;110:1761–6.[Abstract/Free Full Text]

22 Bosma H, van de Mheen HD, Mackenbach JP. Social class in childhood and general health in adulthood: questionnaire study of contribution of psychological attributes. BMJ 1999;318:18–22.[Abstract/Free Full Text]

23 Kaplan GA, Salonen JT. Socioeconomic conditions in childhood and ischaemic heart disease during middle age. BMJ 1990;301:1121–3.[Abstract/Free Full Text]

24 Lundberg O. Childhood conditions, sense of coherence, social class and adult ill health: exploring their theoretical and empirical relations. Soc Sci Med 1997;44:821–31.[CrossRef][Web of Science][Medline]

25 Lundberg O. The impact of childhood living conditions on illness and mortality in adulthood. Soc Sci Med 1993;36:1047–52.[CrossRef][Web of Science][Medline]

26 Huurre T, Aro H, Rahkonen O. Well-being and health behaviour by parental socioeconomic status: a follow-up study of adolescents aged 16 until age 32 years. Soc Psychiatry Psychiatr Epidemiol 2003;38:249–55.[CrossRef][Web of Science][Medline]

27 Volanen S-M, Lahelma E, Silventoinen K, Suominen S. Factors contributing to sense of coherence among men and women. Eur J Public Health 2004;14:322–30.[Abstract/Free Full Text]

28 Chapman DP, Whitfield CL, Felitti VJ et al. Adverse childhood experiences and the risk of depressive disorders in adulthood. J Affect Disord 2004;82:217–25.[CrossRef][Web of Science][Medline]

29 Anda RF, Whitfield CL, Felitti VJ et al. Adverse childhood experiences, alcoholic parents, and later risk of alcoholism and depression. Psychiatr Serv 2002;53:1001–9.[Abstract/Free Full Text]

30 Davey Smith G, McCarron P, Okasha M, McEwen J. Social circumstances in childhood and cardiovascular disease mortality: prospective observational study of Glasgow University students. J Epidemiol Community Health 2001;55:340–1.[Free Full Text]

31 Davey Smith G, Hart C, Blane D, Hole D. Adverse socioeconomic conditions in childhood and cause specific adult mortality: prospective observational study. BMJ 1998;316:1631–5.[Abstract/Free Full Text]

32 Claussen B, Davey Smith G, Thelle D. Impact of childhood and adulthood socioeconomic position on cause specific mortality: the Oslo Mortality Study. J Epidemiol Community Health 2003;57:40–5.[Abstract/Free Full Text]

33 Valkonen T, Martelin T, Rimpelä M et al. Socioeconomic mortality differences in Finland 1981–90. Helsinki: Statistics Finland, 1993.

34 Pensola T. From past to present: Effect of lifecourse on mortality and social class differences in mortality in middle adulthood. Helsinki: The Population Research Institute, 2003.

35 Aromaa A, Koskinen S (eds). Health and functional capacity in Finland. Baseline results of the Health 2000 health examination survey. Publications of the National Public Health Institute B12/2004. www.ktl.fi/health2000. Accessed 25 August 2005.

36 Krause NM, Jay GM. What do global self-rated health items measure? Med Care 1994;32:930–42.[Web of Science][Medline]

37 Eriksson I, Unden AL, Elofsson S. Self-rated health. Comparisons between three different measures. Results from a population study. Int J Epidemiol 2001;30:326–33.[Abstract/Free Full Text]

38 Manderbacka K, Lahelma E, Rahkonen O. Structural changes and social inequalities in health in Finland, 1986–1994. Scand J Public Health 2001;Suppl 55:41–54.[CrossRef]

39 Martikainen P, Aromaa A, Heliovaara M et al. Reliability of perceived health by sex and age. Soc Sci Med 1999;48:1117–22.[CrossRef][Web of Science][Medline]

40 Mossey JM, Shapiro E. Self-rated health: a predictor of mortality among the elderly. Am J Public Health 1982;72:800–8.[Abstract/Free Full Text]

41 Idler EL. Age differences in self-assessments of health: age changes, cohort differences, or survivorship? J Gerontol 1993;48:S289–300.

42 Joung IM, Stronks K, van de Mheen H, Mackenbach JP. Health behaviours explain part of the differences in self reported health associated with partner/marital status in The Netherlands. J Epidemiol Community Health 1995;49:482–8.[Abstract/Free Full Text]

43 Idler EL, Kasl SV. Self-ratings of health: do they also predict change in functional ability? J Gerontol B Psychol Sci Soc Sci 1995;50:S344–53.[Abstract]

44 Ferraro KF, Farmer MM, Wybraniec JA. Health trajectories: long-term dynamics among black and white adults. J Health Soc Behav 1997;38:38–54.[CrossRef][Web of Science][Medline]

45 Moller L, Kristensen TS, Hollnagel H. Self rated health as a predictor of coronary heart disease in Copenhagen, Denmark. J Epidemiol Community Health 1996;50:423–8.[Abstract/Free Full Text]

46 Kaplan GA, Goldberg DE, Everson SA et al. Perceived health status and morbidity and mortality: evidence from the Kuopio ischaemic heart disease risk factor study. Int J Epidemiol 1996;25:259–65.[Abstract/Free Full Text]

47 Idler EL, Benyamini Y. Self-rated health and mortality: a review of twenty-seven community studies. J Health Soc Behav 1997;38:21–37.[CrossRef][Web of Science][Medline]

48 Kaplan GA, Camacho T. Perceived health and mortality: a nine-year follow-up of the human population laboratory cohort. Am J Epidemiol 1983;117:292–304.[Abstract/Free Full Text]

49 Martikainen P, Aromaa A, Lahelma E et al. Perceived health and cause-specific mortality among Finnish men and women aged 30 and over. Yearbook of Population Research in Finland 2002;38:25–36.

50 Goldberg DP. The detection of psychiatric illness by questionnaire. Maudsley monograph No. 22. Oxford: Oxford University Press, 1972.

51 Pevalin DJ. Multiple applications of the GHQ-12 in a general population sample: an investigation of long-term retest effects. Soc Psychiatry Psychiatr Epidemiol 2000;35:508–12.[CrossRef][Medline]

52 Martin AJ. Assessing the multidimensionality of the 12-item General Health Questionnaire. Psychol Rep 1999;84:927–35.[Medline]

53 Goldberg D, Williams P. A user's guide to the general health questionnaire. Windsor: Nfer-Nelson, 1988.

54 Heliovaara M, Aromaa A, Klaukka T et al. Reliability and validity of interview data on chronic diseases. The Mini-Finland Health Survey. J Clin Epidemiol 1993;46:181–91.[CrossRef][Web of Science][Medline]

55 Dube SR, Williamson DF, Thompson T et al. Assessing the reliability of retrospective reports of adverse childhood experiences among adult HMO members attending a primary care clinic. Child Abuse Negl 2004;28:729–37.[CrossRef][Web of Science][Medline]

56 Lahelma E, Manderbacka K, Rahkonen O, Sihvonen A-P. Ill-health and its social patterning in Finland, Norway, Sweden. Helsinki. STAKES Research Reports 27, 1993.

57 Lahelma E, Manderbacka, Kristiina et al. Ill-health and its social patterning in Finland, Norway and Sweden. Helsinki: STAKES, 1993.

58 Adler NE, Boyce T, Chesney MA et al. Socioeconomic status and health. The challenge of the gradient. Am Psychol 1994;49:15–24.[CrossRef][Medline]

59 Macintyre S, Ford G, Hunt K. Do women ‘over-report’ morbidity? Men's and women's responses to structured prompting on a standard question on long standing illness. Soc Sci Med 1999;48:89–98.[CrossRef][Web of Science][Medline]

60 Cohen G, Forbes J, Garraway M. Interpreting self reported limiting long term illness. BMJ 1995;311:722–4.[Abstract/Free Full Text]

61 Basagana X, Sunyer J, Kogevinas M et al. Socioeconomic status and asthma prevalence in young adults: the European Community Respiratory Health Survey. Am J Epidemiol 2004;160:178–88.[Abstract/Free Full Text]


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