Does personality explain social inequalities in mortality? The French GAZEL cohort study

Elite class self-interest, socioeconomic inequality and U.S. population health

Class-based perspectives on the persistent social gradients in health within modern welfare states largely focus on the adverse consequences of unfettered neoliberalism and entrenched meritocratic socioeconomic selection. Namely, neoliberal-driven economic inequality has fuelled resentment and stress among lower-status groups, while these groups have become more homogeneous with regard to health behaviours and outcomes. We synthesise several sociological and historical literatures to argue that, in addition to these class-based explanations, socioeconomic inequality may contribute to persistent social gradients in health due to elite class self-interest-in particular elites' preferences for overdiagnosis, overprescription and costly high-technology medical treatments over disease prevention, and for increased tolerance for regulatory capture. We demonstrate that this self-interest provides parsimonious explanations for several contemporary trends in U.S. health inequality including (A) supply-side factors in drug-related deaths, (B) longitudinal trends in the social gradients of obesity and chronic disease mortality and (C) the immigrant health advantage. We conclude that sociological theories of elite class self-interest usefully complement theories of the psychosocial effects of neoliberalism and of meritocratic social selection while answering recent calls for research on the role advantaged groups play in generating inequalities in health, and for research that moves beyond technological determinism in health sociology.

The role of working conditions in educational differences in all-cause and ischemic heart disease mortality among Swedish men

OBJECTIVES

This study aims to investigate the extent to which low job control and heavy physical workload in middle age explain educational differences in all-cause and ischemic heart disease (IHD) mortality while accounting for important confounding factors.

METHODS

The study is based on a register-linked cohort of men who were conscripted into the Swedish military at around the age of 18 in 1969/1970 and were alive and registered in Sweden in 2005 (N=46 565). Cox proportional hazards regression models were built to estimate educational differences in all-cause and IHD mortality and the extent to which this was explained by physical workload and job control around age 55 by calculating the reduction in hazard ratio (HR) after adjustments. Indicators of health, health behavior, and other factors measured during conscription were accounted for.

RESULTS

We found a clear educational gradient for all-cause and IHD mortality (HR 2.07 and 2.47, respectively, for the lowest compared to the highest education level). A substantial part was explained by the differential distribution of the confounding factors. However, work-related factors, especially high physical workload, also played important explanatory roles.

CONCLUSION

Even after accounting for earlier life factors, low job control and especially high physical workload seem to be important mechanistic factors in explaining educational inequalities in all-cause and IHD mortality. It is therefore important to find ways to reduce physical workload and increase job control in order to decrease inequalities in mortality.

Do Individuals with Internet Gaming Disorder Share Personality Traits with Substance-Dependent Individuals?

(1) Background: Internet gaming disorder (IGD) shares many similarities with substance use disorder (SUD), contributing to its recognition as an addictive disorder. Nevertheless, no study has compared IGD to other addictive disorders in terms of personality traits established as highly co-occurring with SUDs. (2) Methods: We recruited a sample of gamers (massively multiplayer online role-playing games) (MMORPGs) via online in-game forums. We compared 83 individuals with IGD (MMORPG-IGD group) to 47 former heroin addicts under methadone maintenance treatment (MMT; MMT group) with regard to alexithymia, impulsivity, sensation seeking and aggressiveness assessed through self-administered scales, being TAS-20, BIS-10, Z-SSS and BDHI, respectively. (3) Results: Our results draw a relatively similar personality profile between groups but indicate that the subject traits are generally more pronounced in the MMT cohort. The overall lesser intensity of these traits in the MMORPG-IGD group might reflect the greater variability in the severity of the IGD. (4) Conclusions: IGD shares personality traits with MMT, and intensity may be influenced by the severity of the addiction or by certain direct environmental factors, and might also influence the propensity towards one behavior rather than another.

The influence of demographics and personality on COVID-19 coping in young adults

The global COVID-19 pandemic has had an unprecedented effect on human behavior and well-being. Demographic factors and personality traits have been shown to independently influence whether individuals adopt adaptive or maladaptive coping responses. However, to date, researchers have not considered how demographics and personality could interact to influence COVID-19 coping responses. In a sample of 516 North American young adults, we found direct links from two demographic factors (i.e., income and having children) and from multiple personality traits (as captured by the HEXACO model) to adaptive and maladaptive COVID-19 coping responses. We also found that personality indirectly linked a broader range of demographic factors (income, age, gender, having children) with COVID-19 coping responses. We encourage future research on COVID-19 coping responses to consider not just the individual contributions of demographics and personality, but their interdependent influence on whether individuals adopt more or less adaptive COVID-19 pandemic coping responses.

The roles of non-cognitive and cognitive skills in the life course development of adult health inequalities

Previous research has suggested that greater cognitive skill is protective against the development of socioeconomic health inequalities across the life course, but the relative role of non-cognitive skills has been less investigated in this context. Using the prospective UK 1958 National Child Development Study (N = 18,558), higher factor scores for adolescent non-cognitive skills (NCS; i.e. a combination of work habits and pro-social behaviours) and mean cognitive skill (CS) at age 16 were examined with a path analysis model in relation to socioeconomic status (SES) across the life course (at ages 16, 33 and 50) and poor self-reported health at age 50. Adjusting for adolescent NCS explained over a third of the association between education and health, but the path between social class at age 50 and health was unaffected. Adjustment for CS explained larger proportions of the paths to adult health inequalities; and paths between CS and SES across the life course were stronger than the same paths with NCS. However, NCS was still independently associated with paths to later health inequalities in fully adjusted models, and both types of skill had equivalent inverse direct effects with poor health (OR: 0.82 [95% CI 0.73,0.93] vs 0.83 [0.72,0.96], respectively). Since NCS retained independent associations with SES and health across the life course, they could be a target for policies aimed at ameliorating the production of health inequalities for a wide range of children, regardless of their cognitive skill.

Socioeconomic status, family negative emotional climate, and anti-inflammatory gene expression among youth with asthma

The glucocorticoid receptor gene NR3C1 is an important down-regulator of inflammation and is typically under-expressed in individuals with low socioeconomic status (SES). Negative emotionality has been suggested as a potential mediator of SES disparities in health outcomes. In this study, we expand this literature by naturalistically assessing negative emotionality in a key emotional environment: the family. In a sample of 104 youth with asthma (10-17 years) and their primary caregiver, we assessed SES via caregiver report, emotional expression by youth and parents in the home over four days using the electronically activated recorder (EAR), and NR3C1 expression via blood collected from youth. Although there was not a direct effect of SES on NR3C1 expression, bootstrapping mediation analyses showed a significant indirect path such that lower SES was associated with a more negative family emotional climate, which in turn predicted reduced NR3C1 expression. No mediation effects were found for family positive emotional climate. This research demonstrates the importance of examining the effects of SES on emotion expression in the family context and suggests a critical biopsychosocial pathway underlying SES-based health disparities that may extend beyond youth.

Childhood conscientiousness predicts the social gradient of smoking in adulthood: a life course analysis

BACKGROUND AND AIMS

The social gradient in smoking is well known, with higher rates among those in less advantaged socioeconomic position. Some recent research has reported that personality characteristics partly explain this gradient. However, the majority of existing work is limited by cross-sectional designs unsuitable to determine whether differences in conscientiousness are a predictor or a product of social inequalities. Adopting a life course perspective, we investigated in the current paper the influence of conscientiousness in early and mid-life on the social gradient in smoking and the role of potential confounding factors in a large longitudinal cohort study.

METHODS

Using data from the 1958 National Child Development Study, we examined the extent to which two measures of conscientiousness, one assessed with a personality questionnaire at age 50 and one derived from three related items at 16 years in childhood, explained the social gradient of smoking at age 50 by comparing nested logistic regression models that included social class at birth, cognitive ability, attention and conduct problems at age 7, and educational qualification.

RESULTS

Childhood conscientiousness was a significant predictor of smoking at 50 years (OR=0.86, CI (95%) 0.84 to 0.88), explaining 5.0% of the social gradient independent of all other variables. Childhood conscientiousness was a stronger predictor than adult conscientiousness, statistically accounting for the observed direct association of adult conscientiousness with smoking.

CONCLUSIONS

Conscientiousness may be a predictor rather than a product of social differences in smoking. Inclusion of personality measures and adoption of a life course perspective add significantly to our understanding of health inequalities.

Personality Moderates the Improvement of Depressive Symptoms After Retirement: Evidence from the GAZEL Cohort

OBJECTIVE

Previous studies have suggested a positive effect of retirement on depressive symptoms. The present study took advantage of the large-scale, prospective Gaz et Electricité (GAZEL) cohort to examine whether personality could influence this effect.

METHODS

Depressive symptoms were assessed in 1993, 1996, 1999, 2002, 2005, and 2008 with the Center for Epidemiologic Studies Depression Scale (CES-D). Among the participants for which changes in depressive symptoms after retirement could be computed, 9,755 had completed the Buss and Durkee Hostility Inventory and the Bortner Type A Rating Scale in 1993. Covariates included age, gender, occupational grade, history of sickness absences for depression, and alcohol consumption. The effect of hostility and type A personality on changes in depressive symptoms after retirement were assessed with general linear models.

RESULTS

Adjusting for all covariates, higher scores of total (p <0.001; η(2) = 0.017), cognitive (p <0.001; η(2) = 0.021), and behavioral hostility (p <0.001; η(2) = 0.004) as well as type A personality (p <0.001; η(2) = 0.002) were each associated with a smaller improvement of depressive symptoms after retirement. Regarding hostility subscales, only the association with cognitive hostility remained significant (p <0.001; η(2) = 0.018) when both were simultaneously entered in the model. Among participants meeting the CES-D threshold of clinical depression before retirement, those in the lowest quartile of cognitive hostility were two times more likely than those in the highest to fall short of this threshold after retirement (odds ratio: 1.99; 95% confidence interval: 1.54-2.58).

CONCLUSION

Individuals with high levels of cognitive hostility display less improvement of depressive symptoms after retirement.

Psychosocial functioning and intelligence both partly explain socioeconomic inequalities in premature death. A population-based male cohort study

Objective

The possible contributions of psychosocial functioning and intelligence differences to socioeconomic status (SES)-related inequalities in premature death were investigated. None of the previous studies focusing on inequalities in mortality has included measures of both psychosocial functioning and intelligence.

Methods

The study was based on a cohort of 49 321 men born 1949–1951 from the general community in Sweden. Data on psychosocial functioning and intelligence from military conscription at ∼18 years of age were linked with register data on education, occupational class, and income at 35–39 years of age. Psychosocial functioning was rated by psychologists as a summary measure of differences in level of activity, power of initiative, independence, and emotional stability. Intelligence was measured through a multidimensional test. Causes of death between 40 and 57 years of age were followed in registers.

Results

The estimated inequalities in all-cause mortality by education and occupational class were attenuated with 32% (95% confidence interval: 20–45%) and 41% (29–52%) after adjustments for individual psychological differences; both psychosocial functioning and intelligence contributed to account for the inequalities. The inequalities in cardiovascular and injury mortality were attenuated by as much as 51% (24–76%) and 52% (35–68%) after the same adjustments, and the inequalities in alcohol-related mortality were attenuated by up to 33% (8–59%). Less of the inequalities were accounted for when those were measured by level of income, with which intelligence had a weaker correlation. The small SES-related inequalities in cancer mortality were not attenuated by adjustment for intelligence.

Conclusions

Differences in psychosocial functioning and intelligence might both contribute to the explanation of observed SES-related inequalities in premature death, but the magnitude of their contributions likely varies with measure of socioeconomic status and cause of death. Both psychosocial functioning and intelligence should be considered in future studies.

Do psychosocial profiles predict self-rated health, morbidity and mortality in late middle-aged and older people?

Considering many psychosocial health risk factors are interrelated, determining psychosocial health risk might benefit from a more person-centered perspective. This paper explores to what extent a psychosocial profile that combines potentially synergistic effects of different psychosocial characteristics, including psychological attributes and functioning, coping styles and social support, predicts self-rated health, morbidity and mortality. Prospective, longitudinal data from 1,912 Dutch participants aged 55-91 years were used to determine distinct psychosocial profiles by means of two-step cluster analysis. The predictive power of these profiles over a 5-year follow-up was calculated with Cox regression models for all-cause mortality and general practitioner-diagnosed somatic morbidity, and logistic regression models for self-rated health. Three distinct psychosocial risk profiles emerged: an adverse, an average and a beneficial profile. These profiles strongly predicted self-rated health but not morbidity or mortality. The health effects of the cluster (profile) model suggest synergism between the psychosocial characteristics. Future research should replicate our findings to further validate the approach.

Socioeconomic status and health: mediating and moderating factors

Health disparities (differences in health by socioeconomic groups) are a pressing issue in our society. This article provides an overview of a multilevel approach that seeks to understand the mechanisms underlying health disparities by considering factors at the individual, family, and neighborhood levels. In addition, we describe an approach to connecting these factors to various levels of biological processes (systemic inflammation, cellular processes, and genomic pathways) that drive disease pathophysiology. In the second half of the article, we address the question of why some low-socioeconomic-status (low-SES) individuals manage to maintain good physical health. We identify naturally occurring psychosocial factors that help buffer these individuals from adverse physiological responses and pathogenic processes leading to chronic disease. What is protective for low-SES individuals is not the same as what is protective for high-SES individuals, and this needs to be taken into account in interventions aimed at reducing health disparities.

Type A behavior pattern and coronary heart disease: Philip Morris's "crown jewel"

The type A behavior pattern (TABP) was described in the 1950s by cardiologists Meyer Friedman and Ray Rosenman, who argued that TABP was an important risk factor for coronary heart disease. This theory was supported by positive findings from the Western Collaborative Group Study and the Framingham Study. We analyzed tobacco industry documents to show that the tobacco industry was a major funder of TABP research, with selected results used to counter concerns regarding tobacco and health. Our findings also help explain inconsistencies in the findings of epidemiological studies of TABP, in particular the phenomenon of initially promising results followed by negative findings. Our analysis suggests that these "decline effects" are partly explained by tobacco industry involvement in TABP research.

Low conscientiousness and risk of all-cause, cardiovascular and cancer mortality over 17 years: Whitehall II cohort study

OBJECTIVE

To examine the personality trait conscientiousness as a risk factor for mortality and to identify candidate explanatory mechanisms.

METHODS

Participants in the Whitehall II cohort study (N=6800, aged 34 to 55 at recruitment in 1985) completed two self-reported items measuring conscientiousness in 1991-1993 ('I am overly conscientious' and 'I am overly perfectionistic', Cronbach's α=.72), the baseline for this study. Age, socio-economic status (SES), social support, health behaviours, physiological variables and minor psychiatric morbidity were also recorded at baseline. The vital status of participants was then monitored for a mean of 17 years. All-cause and cause-specific mortality was ascertained through linkage to a national mortality register until January 2010.

RESULTS

Each 1 standard deviation decrease in conscientiousness was associated with a 10% increase in all-cause (hazard ratio [HR]=1.10, 95% CI 1.003, 1.20) mortality. Patterns were similar for cardiovascular (HR=1.17, 95% CI 0.98, 1.39) and cancer mortality (HR=1.10, 95% CI 0.96, 1.25), not reaching statistical significance. The association with all-cause mortality was attenuated by 5% after adjustment for SES, 13% for health behaviours, 14% for cardiovascular risk factors, 5% for minor psychiatric morbidity, 29% for all variables. Repeating analyses with each item separately and excluding participants who died within five years of personality assessment did not change the results materially.

CONCLUSION

Low conscientiousness in midlife is a risk factor for all-cause mortality. This association is only partly explained by health behaviours, SES, cardiovascular disease risk factors and minor psychiatric morbidity in midlife.

Health inequalities in the Netherlands: a cross-sectional study of the role of Type D (distressed) personality

Background

In the Netherlands, as in many European countries, inequalities in health exist between people with a high and a low socioeconomic status (SES). From the perspective of the 'indirect selection hypothesis', this study was designed to expand our understanding of the role of Type D personality as an explanation of health inequalities.

Methods

Data came from two cross-sectional Dutch surveys among the general population (aged between 19 and 64 years, response 53.7%, n = 12,090). We analyzed the relative risks of low SES, assessed using education and income, and Type D personality, assessed using the Type D Scale-14 (DS14), for different outcomes regarding lifestyle-related risk factors and health, using multivariate Generalized Linear Models.

Results

Results showed that Type D personality was significantly associated with low SES (OR = 1.7 for both low education and low income). Moreover, the relative risks of Type D personality and low SES were significantly elevated for most adverse health outcomes, unconditionally as well as conditionally.

Conclusion

The cross-sectional design hinders the making of definite etiological inferences. Nevertheless, our findings suggest that Type D personality does not explain the socioeconomic health inequalities, but is a risk factor in addition to low SES. Prevention of adverse health outcomes in low SES populations may have more effect when it takes into account that persons with a low SES in combination with a Type D personality are at highest risk.

Neuroticism and extraversion personality traits, health behaviours, and subjective well-being: the Fukuoka Study (Japan)

PURPOSE

We evaluated personality dimensions captured by an abbreviated 8-item questionnaire and examined associations of the personality traits with health behaviours and subjective well-being (SWB) measures.

METHODS

The subjects were 11,554 participants in the Kyushu University Fukuoka Cohort Study who completed a self-administered questionnaire inquiring health behaviours, morbidity, personality, and SWB. Personality was assessed by using a questionnaire appeared to capture neuroticism and extraversion traits, and SWB-related variables were assessed with 3 single-item questions.

RESULTS

Neuroticism was negatively and extraversion was positively associated with BMI. Extraversion, but not neuroticism, was positively associated with smoking and alcohol drinking. After multivariate adjustment, neuroticism was strongly associated with each of 3 SWB measures. The multivariate-adjusted odds ratios for the highest versus lowest quintile of neuroticism were 6.09 (95% confidence interval [CI], 5.05-7.33) for perceived stress; 0.21 (95% CI, 0.18-0.25) for good health condition; and 0.26 (95% CI, 0.22-0.31) for life satisfaction. Extraversion showed no clear association with the SWB measures.

CONCLUSIONS

The neuroticism and extraversion scales were associated with health behaviours and BMI differently. The neuroticism scale, but not the extraversion scale, was strongly associated with higher perception of stress, poorer perceived health, and lower satisfaction with life in a Japanese population.

Personality and longevity: knowns, unknowns, and implications for public health and personalized medicine

We review evidence for links between personality traits and longevity. We provide an overview of personality for health scientists, using the primary organizing framework used in the study of personality and longevity. We then review data on various aspects of personality linked to longevity. In general, there is good evidence that higher level of conscientiousness and lower levels of hostility and Type D or "distressed" personality are associated with greater longevity. Limited evidence suggests that extraversion, openness, perceived control, and low levels of emotional suppression may be associated with longer lifespan. Findings regarding neuroticism are mixed, supporting the notion that many component(s) of neuroticism detract from life expectancy, but some components at some levels may be healthy or protective. Overall, evidence suggests various personality traits are significant predictors of longevity and points to several promising directions for further study. We conclude by discussing the implications of these links for epidemiologic research and personalized medicine and lay out a translational research agenda for integrating the psychology of individual differences into public health and medicine.

Personality processes: mechanisms by which personality traits "get outside the skin"

It is time to better understand why personality traits predict consequential outcomes, which calls for a closer look at personality processes. Personality processes are mechanisms that unfold over time to produce the effects of personality traits. They include reactive and instrumental processes that moderate or mediate the association between traits and outcomes. These mechanisms are illustrated here by a selection of studies of traits representing the three broad domains of personality and temperament: negative emotionality, positive emotionality, and constraint. Personality processes are studied over the short term, as in event-sampling studies, and over the long term, as in lifespan research. Implications of findings from the study of processes are considered for resolving issues in models of personality structure, improving and extending methods of personality assessment, and identifying targets for personality interventions.

Psychosocial factors in the development of heart disease in women: current research and future directions

OBJECTIVE

To review the recent (1995-2009) literature on psychosocial risk and protective factors for coronary heart disease (CHD) among women, including negative emotions, stress, social relationships, and positive psychological factors.

METHODS

Articles for the review were identified using PubMed and bibliographies of relevant articles. Eligible studies included at least 100 women and either focused on a) exclusively female participants or b) both men and women, conducting either gender-stratified analyses or examining interactions with gender. Sixty-seven published reports were identified that examined prospective associations with incident or recurrent CHD.

RESULTS

In general, evidence suggests that depression, anxiety disorders, anger suppression, and stress associated with relationships or family responsibilities are associated with elevated CHD risk among women, that supportive social relationships and positive psychological factors may be associated with reduced risk, and that general anxiety, hostility, and work-related stress are less consistently associated with CHD among women relative to men.

CONCLUSIONS

A growing literature supports the significance of psychosocial factors for the development of CHD among women. Consideration of both traditional psychosocial factors (e.g., depression) and factors that may be especially important for women (e.g., stress associated with responsibilities at home or multiple roles) may improve identification of women at elevated risk as well as the development of effective psychological interventions for women with or at risk for CHD.

Intergenerational educational mobility is associated with cardiovascular disease risk behaviours in a cohort of young Australian adults: The Childhood Determinants of Adult Health (CDAH) Study

BACKGROUND

Although educational disparity has been linked to single risk behaviours, it has not previously been studied as a predictor of overall lifestyle. We examined if current education, parental education or educational mobility between generations was associated with healthy lifestyles in young Australian adults.

METHODS

In 2004-06, participant and parental education (high [bachelor degree or higher], intermediate [vocational training], low [secondary school only]) were assessed. Educational mobility was defined as: stable high (participant and parent in high group), stable intermediate (participant and parent in intermediate group), stable low (participant and parent in low group), downwardly (lower group than parent) and upwardly (higher group than parent) mobile. We derived a lifestyle score from 10 healthy behaviours (BMI, non-smoking, alcohol consumption, leisure time physical activity and six components of diet). Scores >4 indicated a high healthy lifestyle score. We estimated the likelihood of having a high healthy lifestyle score by education (participant and parent) and educational mobility.

RESULTS

Complete data were available for 1973 participants (53% female, age range 26 to 36 years). Those with lower education were less likely to have healthy lifestyles. Parental education was not associated with having a high healthy lifestyle score after adjustment for participant's education. Those who moved upward or downward were as likely to have a high healthy lifestyle score as those in the group they attained.

CONCLUSIONS

We found clear disparities in health behaviour by participant education and intergenerational educational mobility. People attaining a higher level of education than their parents appeared protected from developing an unhealthy lifestyle suggesting that population-wide improvements in education may be important for health.

Personality, socioeconomic status, and all-cause mortality in the United States

The authors assessed the extent to which socioeconomic status (SES) and the personality factors termed the "big 5" (neuroticism, extraversion, openness to experience, agreeableness, conscientiousness) represented confounded or independent risks for all-cause mortality over a 10-year follow-up in the Midlife Development in the United States (MIDUS) cohort between 1995 and 2004. Adjusted for demographics, the 25th versus 75th percentile of SES was associated with an odds ratio of 1.43 (95% confidence interval (CI): 1.11, 1.83). Demographic-adjusted odds ratios for the 75th versus 25th percentile of neuroticism were 1.38 (95% CI: 1.10, 1.73) and 0.63 (95% CI: 0.47, 0.84) for conscientiousness, the latter evaluated at high levels of agreeableness. Modest associations were observed between SES and the big 5. Adjusting each for the other revealed that personality explained roughly 20% of the SES gradient in mortality, while SES explained 8% of personality risk. Portions of SES and personality risk were explained by health behaviors, although some residual risk remained unexplained. Personality appears to explain some between-SES strata differences in mortality risk, as well as some individual risk heterogeneity within SES strata. Findings suggest that both sociostructural inequalities and individual disposition hold public health implications. Future research and prevention aimed at ameliorating SES health disparities may benefit from considering the risk clustering of social disadvantage and dispositional factors.

Mortality predictors in a 60-year follow-up of adolescent males: exploring delinquency, socioeconomic status, IQ, high-school drop-out status, and personality

OBJECTIVE

To examine whether socioeconomic status (SES), high school (HS) completion, IQ, and personality traits that predict delinquency in adolescence also could explain men's delinquency-related (Dq-r) mortality risk across the life span.

METHODS

Through a 60-year Social Security Death Index (SSDI) follow-up of 1812 men from Hathaway's adolescent normative Minnesota Multiphasic Personality Inventory (MMPI) sample, we examined mortality risk at various ages and at various levels of prior delinquency severity. We examined SES (using family rent level), HS completion, IQ, and MMPI indicators simultaneously as mortality predictors and tested for SES (rent level) interactions with IQ and personality.

RESULTS

We ascertained 418 decedents. Dq-r mortality peaked between ages 45 years to 64 years and continued through age 75 years, with high delinquency severity showing earlier and higher mortality risk. IQ and rent level failed to explain Dq-r mortality. HS completion robustly conferred mortality protection through ages 55 years and 75 years, explained IQ and rent level-related risk, but did not fully explain Dq-r risk. Dq-r MMPI scales, Psychopathic Deviate, and Social Introversion, respectively, predicted risk for and protection from mortality by age 75 years, explaining mortality risk otherwise attributable to delinquency. Wiggins' scales also explained Dq-r mortality risk, as Authority Conflict conferred risk for and Social Maladjustment and Hypomania conferred protection from mortality by age 75 years.

CONCLUSIONS

HS completion robustly predicts mortality by ages 55 years and 75 years. Dq-r personality traits predict mortality by age 75 years, accounting, in part, for Dq-r mortality.

Personality and health as predictors of income decrease in old age: findings from the longitudinal SMILE study

BACKGROUND

There is much evidence for the influence of low socio-economic status on poor health. It is, however, also important to study the ways in which people attain and retain their socio-economic status and the factors that predict changes in socio-economic status, such as a decrease in income. Such mobility also occurs in older populations, in which financial and health-related changes are very common, especially after retirement.

METHODS

Three years of follow-up data from 1443 Dutch 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 independent effects of physical and mental dysfunction and severity of chronic diseases and adverse personality factors on decrease in income.

RESULTS

Social anxiety (OR = 1.62, 95% CI: 1.09-2.40), physical dysfunction (OR = 1.71, 95% CI: 1.07-2.74) and severe diseases (OR = 1.37, 95% CI: 1.05-1.78) were significant predictors of decrease in income. These contributions were independent of each other, and remained robust after controlling for other confounding factors, such as gender, age and educational level and change in employment status. Mental dysfunction and other personality characteristics, such as hostility and mastery, did not contribute to decrease in income.

CONCLUSION

Social anxiety and poor physical health are relevant factors associated with decrease in income in old age. The findings suggest that these factors are important in retaining one's socio-economic status. Future longitudinal research is necessary to further disentangle the mechanisms and pathways related to socio-economic health inequalities along the life-course.

Hostility and trajectories of body mass index over 19 years: the Whitehall II Study

The authors examined the associations of hostility measured in adulthood with subsequent body mass index (BMI; weight (kg)/height (m)(2)) assessed at 4 time points over a 19-year period (1985-2004) in a United Kingdom cohort study. A total of 6,484 participants (4,494 men and 1,990 women) aged 35-55 years at baseline (1985-1988) completed the Cook-Medley Hostility Scale. BMI was assessed upon medical examination in phases 1 (1985-1988), 3 (1991-1993), 5 (1997-1999), and 7 (2002-2004). Mixed-models analyses of repeated measures showed clear evidence of increasing BMI over follow-up in both sexes. In women, higher levels of hostility were associated with higher BMI at baseline, and this effect remained constant throughout the follow-up period. In men, hostility levels were also strongly associated with BMI at baseline, but results for the interaction between time and hostility also suggested that this association increased over time, with persons in the highest quartile of hostility gaining an excess of 0.016 units (P = 0.023) annually over the follow-up period as compared with persons in the lowest quartile. The authors conclude that the difference in BMI as a function of hostility levels in men is not stable over time.