The association of early life socioeconomic conditions with prediabetes and type 2 diabetes: results from the Maastricht study.

BACKGROUND: Using cross-sectional data from The Maastricht Study, we examined the association of socioeconomic conditions in early life with prediabetes and T2DM in adulthood. We also examined potential mediating pathways via both adulthood socioeconomic conditions and adult BMI and health behaviours. METHODS: Of the 3263 participants (aged 40-75 years), 493 had prediabetes and 906 were diagnosed with T2DM. By using logistic regression analyses, the associations and possible mediating pathways were examined. RESULTS: Participants with low early life socioeconomic conditions had a 1.56 times higher odds of prediabetes (95% confidence interval (CI) = 1.21-2.02) and a 1.61 times higher odds of T2DM (95% CI = 1.31-1.99). The relation between low early life socioeconomic conditions and prediabetes was independent of current socioeconomic conditions (OR = 1.38, 95% CI = 1.05-1.80), whereas the relation with T2DM was not independent of current socioeconomic conditions (OR = 1.10, 95% CI = 0.87-1.37). BMI party mediated the association between early life socioeconomic conditions and prediabetes. CONCLUSIONS: Socioeconomic inequalities starting in early life were associated with diabetes-related outcomes in adulthood and suggest the usefulness of early life interventions aimed at tackling these inequalities.

Perceived classism and its relation with socioeconomic status, health, health behaviours and perceived inferiority: the Dutch Longitudinal Internet Studies for the Social Sciences (LISS) panel.

OBJECTIVES: Classism might be the downside of the prevailing ideologies of individual responsibility for success. However, since studies into perceived classism have mainly been qualitative, little is known about its association with socioeconomic status, health, health behaviours and perceived inferiority, especially in more egalitarian countries. This study, therefore, examined the associations of perceived classism with socioeconomic status, health, health behaviours and perceived inferiority. METHODS: We used cross-sectional data (2012/2013) from the Dutch Longitudinal Internet Studies for the Social Sciences (LISS) (n = 1540; age 16-90; 46.9 % men). RESULTS: We found that classism was perceived by 18.2 % of the participants, with the lowest income and occupation group most likely to perceive classism (22.0 and 27.5 %, respectively). Perceived classism was significantly associated with poor health (e.g. self-rated health OR = 2.44, 95 % CI = 1.76-3.38) and feelings of inferiority (e.g. shame OR = 4.64, 95 % CI = 3.08-6.98). No significant associations were found with health behaviours. CONCLUSIONS: To further examine the role of perceived classism for socioeconomic differences in health and its association with country-level socioeconomic inequalities, prevailing ideologies, and objective opportunities for social mobility, we recommend more longitudinal and international studies with comparable measures of perceived classism.

A blunted diurnal cortisol response in the lower educated does not explain educational differences in coronary heart disease: findings from the AGES-Reykjavik study.

Lower educational attainment generally is a strong predictor of coronary heart disease (CHD). The underlying mechanisms of this effect are, however, less clear. One hypothesis is that stress related to limitations imposed by lower socioeconomic status elicits changes in hypothalamic-pituitary-adrenal axis functioning, which, in turn, increases risk of CHD. In a large cohort study, we examined whether educational attainment was related to risk of fatal and non-fatal CHD and the extent to which salivary cortisol mediated this relation independent of potential confounders, including lifestyles. Data came from 3723 participants aged 66 through 96 from the Age, Gene/Environment Susceptibility (AGES) - Reykjavik Study. Between 2002 and 2006, data were collected using questionnaires and examinations including morning and evening salivary samples. Hospital admission records and cause of death registries (ICD-9 and ICD-10 codes) were available until December 2009. Linear regression and Cox proportional hazards analyses were performed. Even after adjustment for potential confounders, including lifestyle, persons with lower educational attainment showed a blunted cortisol response and also greater risk of incident CHD. However, our data did not support the role of cortisol as a mediator in the association between education and CHD in an older sample (192).

Socio-economic inequalities in all-cause mortality in Europe: an exploration of the role of heightened social mobility.

The larger than expected socio-economic inequalities in health in more egalitarian countries might be explained by a heightened social mobility in these countries. Therefore, the aim of this explorative study was to examine the associations between country-level social mobility, income inequality and socio-economic differences in all-cause mortality, using country-level secondary data from 12 European countries. Both income equality and social mobility were found to be associated with larger socio-economic differences in mortality, particularly in women. These findings suggest that social mobility and income equality, beside their shiny side of improving population health, might have a shady side of increasing socio-economic health inequalities.

Unhealthy lifestyles do not mediate the relationship between socioeconomic status and incident depressive symptoms: the Health ABC study.

BACKGROUND: The relationship between low socioeconomic status (SES) and depressive symptoms is well described, also in older persons. Although studies have found associations between low SES and unhealthy lifestyle factors, and between unhealthy lifestyle factors and depressive symptoms, not much is known about unhealthy lifestyles as a potential explanation of socioeconomic differences in depressive symptoms in older persons. METHODS: To study the independent pathways between SES (education, income, perceived income, and financial assets), lifestyle factors (smoking, alcohol use, body mass index, and physical activity), and incident depressive symptoms (Center for Epidemiologic Studies-Depression [CES-D 10] and reported use of antidepressant medication), we used 9 years of follow-up data (1997-2007) from 2,694 American black and white participants aged 70-79 years from the Health, Aging, and Body Composition (Health ABC) study. At baseline, 12.1% of the study population showed prevalent depressive symptoms, use of antidepressant medication, or treatment of depression in the 5 years prior to baseline. These persons were excluded from the analyses. RESULTS: Over a period of 9 years time, 860 participants (31.9%) developed depressive symptoms. Adjusted hazard ratios for incident depressive symptoms were higher in participants from lower SES groups compared with the highest SES group. The strongest relationships were found for black men. Although unhealthy lifestyle factors were consistently associated with low SES, they were weakly related to incident depressive symptoms. Lifestyle factors did not significantly reduce hazard ratios for depressive symptoms by SES. CONCLUSION: In generally healthy persons aged 70-79 years, lifestyle factors do not explain the relationship between SES and depressive symptoms.

Socioeconomic factors from midlife predict mobility limitation and depressed mood three decades later; findings from the AGES-Reykjavik Study.

BACKGROUND: Taking into account our rapidly ageing population, older people are of particular interest in studying health inequalities. Most studies of older persons only include measures of current socioeconomic status (SES) and do not take into account data from earlier stages of life. In addition, only classic SES measures are used, while alternative measures, such as car ownership and house ownership, might equally well predict health. The present study aims to examine the effect of midlife socioeconomic factors on mobility limitation and depressed mood three decades later. METHODS: Data were from 4,809 men and women aged 33-65 years who participated in the Reykjavik Study (1967-1992) and who were re-examined in old age in the Age, Gene/Environment Susceptibility (AGES) -Reykjavik Study (2002-2006). RESULTS: Education and occupation predicted mobility limitation and depressed mood. Independently, home and car ownership and the availability of housing features predicted mobility limitation. Shortages of food in childhood and lack of a car in midlife predicted depressed mood. CONCLUSION: Socioeconomic factors from midlife and from childhood affect mobility limitation and depressed mood in old age. Prevention of health problems in old age should begin as early as midlife.

Good friends, high income or resilience? What matters most for elderly patients?

BACKGROUND: Chronically ill patients need to adapt to their impaired life condition. Social (e.g. social support), material (e.g. income) and personal (e.g. mastery) resources are needed to cope with this challenge. It is, however, less clear whether these factors also contribute to 'relatively successful functioning' and whether these effects are disease specific or generic across chronic diseases. METHODS: Baseline data from 361 Dutch men and women aged≥60 years who were mildly depressed and diagnosed with type 2 diabetes or chronic obstructive pulmonary disease (COPD) were used. These persons participated in the 'Depression in Elderly with Long-Term Afflictions' (DELTA) study. Logistic regression analyses were used to study the independent association of social support, income and mastery (independent variables) with physical, mental and social functioning (dependent variables). RESULTS: A high level of mastery is significantly associated with physical, mental and social functioning in the total study population, as well as in subgroups of patients with COPD or diabetes. This relationship remained significant after controlling for confounding factors such as gender, age, educational level and the other remaining resources. In diabetes patients, high levels of social support and income also contributed significantly to successful social functioning. CONCLUSION: Our findings suggest that rather than having good friends and a high income, having a high level of mastery (resilience) might best help chronically ill patients in coping with and adapting to their often co-morbid condition. Further longitudinal research is necessary to unravel the long-term effects of mastery, income and social support on 'relatively successful functioning' in chronically ill patients.

Material vs. psychosocial explanations of old-age educational differences in physical and mental functioning.

BACKGROUND: Taking into account our rapidly ageing population, older people are of particular interest in studying health inequalities. The aim of the present study is to examine the relation between socio-economic status and health-related functioning in older people and to find out how material factors (e.g. the lack of basic goods) and psychosocial factors (e.g. low self-efficacy) compare regarding the explanation of these socio-economic differences. METHODS: Data came from 5061 Dutch men and women aged ≥ 55 years who participated in the longitudinal Study on Medical Information and Lifestyles Eindhoven (SMILE) study. Baseline data were collected between November 2002 and May 2004 and respondents were followed until May 2009 (follow-up range: 0-5 years). Multilevel analyses were used to study the association between educational level and longitudinal changes in physical and mental functioning (i.e. two subscales of the SF-36) and to study the relative contribution of material and psychosocial factors to this relation. RESULTS: Low educational level was associated with poor initial physical and mental functioning. However, no further widening of these gradients was found during follow-up. Material factors reduced the initial educational differences by an average of 29%, whereas psychosocial factors, mastery and self-efficacy in particular, reduced these differences by an average of 60%. CONCLUSION: More than material factors, psychosocial factors, mastery and self-efficacy in particular, explained a large part of the educational differences in physical and mental functioning in older people. Further research is recommended to explore the amenability to change of characteristics that hamper people from taking control over their lives.

Lack of basic and luxury goods and health-related dysfunction in older persons; findings from the longitudinal SMILE study.

BACKGROUND: More so than the traditional socioeconomic indicators, such as education and income, wealth reflects the accumulation of resources and makes socioeconomic ranking manifest and explicitly visible to the outside world. While the lack of basic goods, such as a refrigerator, may affect health directly, via biological pathways, the lack of luxury goods, such as an LCD television, may affect health indirectly through psychosocial mechanisms. We set out to examine, firstly, the relevance of both basic and luxury goods in explaining health-related dysfunction in older persons, and, secondly, the extent to which these associations are independent of traditional socioeconomic indicators. METHODS: Cross-sectional and longitudinal data from 2067 men and women aged 55 years and older who participated in the Study on Medical Information and Lifestyles Eindhoven (SMILE) were gathered. Logistic regression analyses were used to study the relation between a lack of basic and luxury goods and health-related function, assessed with two sub-domains of the SF-36. RESULTS: The lack of basic goods was closely related to incident physical (OR = 2.32) and mental (OR = 2.12) dysfunction, even when the traditional measures of socioeconomic status, i.e. education or income, were taken into account. Cross-sectional analyses, in which basic and luxury goods were compared, showed that the lack of basic goods was strongly associated with mental dysfunction. Lack of luxury goods was, however, not related to dysfunction. CONCLUSION: Even in a relatively wealthy country like the Netherlands, the lack of certain basic goods is not uncommon. More importantly, lack of basic goods, as an indicator of wealth, was strongly related to health-related dysfunction also when traditional measures of socioeconomic status were taken into account. In contrast, no effects of luxury goods on physical or mental dysfunction were found. Future longitudinal research is necessary to clarify the precise mechanisms underlying these effects.

Material deprivation and health-related dysfunction in older Dutch people: findings from the SMILE study.

BACKGROUND: Even in generally wealthy Western countries material deprivation and poverty are not uncommon. There is, however, little data on the prevalence of material deprivation and its associations with health-related dysfunction in older people. METHODS: Cross-sectional data from the SMILE study were used to examine the prevalence of material deprivation and the associations between material deprivation and health-related dysfunction in persons aged 55 years and older (n > 4000). Material deprivation was measured with a comprehensive questionnaire assessing seven subdomains referring to current and anticipated financial problems and poverty in childhood. Health-related dysfunction was measured using the SF36-based physical and mental components. In addition, self-reported heart disease was examined as an indicator of health-related dysfunction as well. RESULTS: Almost 29% of subjects experienced at least one financial problem. Those reporting material deprivation had more than twice the risk of physical (OR = 2.22; 95% CI: 1.72-2.86) and mental (OR = 2.34; 95% CI: 1.84-2.97) dysfunction compared with non-deprived persons. A slightly weaker association was found when self-reported heart disease was used as an outcome variable (OR = 1.74; 95% CI: 1.40-2.15). Although odds ratios were generally higher for diseased older persons, no significant interaction effect between chronic disease and material deprivation subscales was found. CONCLUSIONS: Material deprivation in the Netherlands is not uncommon and is strongly related to both mental and physical dysfunction, and therefore needs further attention in public health policy. Longitudinal research is necessary to clarify the causal nature of our results and to develop appropriate interventions.