Daniel K. Mroczek

Short screening scales to monitor population prevalences and trends in non-specific psychological distress

BACKGROUND A 10-question screening scale of psychological distress and a six-question short-form scale embedded within the 10-question scale were developed for the redesigned US National Health Interview Survey (NHIS). METHODS Initial pilot questions were administered in a US national mail survey (N = 1401). A reduced set of questions was subsequently administered in a US national telephone survey (N = 1574). The 10-question and six-question scales, which we refer to as the K10 and K6, were constructed from the reduced set of questions based on Item Response Theory models. The scales were subsequently validated in a two-stage clinical reappraisal survey (N = 1000 telephone screening interviews in the first stage followed by N = 153 face-to-face clinical interviews in the second stage that oversampled first-stage respondents who screened positive for emotional problems) in a local convenience sample. The second-stage sample was administered the screening scales along with the Structured Clinical Interview for DSM-IV (SCID). The K6 was subsequently included in the 1997 (N = 36116) and 1998 (N = 32440) US National Health Interview Survey, while the K10 was included in the 1997 (N = 10641) Australian National Survey of Mental Health and Well-Being. RESULTS Both the K10 and K6 have good precision in the 90th-99th percentile range of the population distribution (standard errors of standardized scores in the range 0.20-0.25) as well as consistent psychometric properties across major sociodemographic subsamples. The scales strongly discriminate between community cases and non-cases of DSM-IV/SCID disorders, with areas under the Receiver Operating Characteristic (ROC) curve of 0.87-0.88 for disorders having Global Assessment of Functioning (GAF) scores of 0-70 and 0.95-0.96 for disorders having GAF scores of 0-50. CONCLUSIONS The brevity, strong psychometric properties, and ability to discriminate DSM-IV cases from non-cases make the K10 and K6 attractive for use in general-purpose health surveys. The scales are already being used in annual government health surveys in the US and Canada as well as in the WHO World Mental Health Surveys. Routine inclusion of either the K10 or K6 in clinical studies would create an important, and heretofore missing, crosswalk between community and clinical epidemiology.

The effect of age on positive and negative affect: a developmental perspective on happiness.

The effect of age on happiness, as defined by positive and negative affect, was examined in a survey of 2,727 persons of a broad age range (25-74) conducted by the MacArthur Foundation Research Network on Successful Midlife Development. The age-affect association was examined, controlling for a host of sociodemographic, personality, and contextual influences. Among women, age was related to positive affect nonlinearly but was unrelated to negative affect. Among men, age interacted with 2 key variables in predicting affect: extraversion and marital status. These findings lend support to recent life span theories of emotion and indicate that personality, contextual, and sociodemographic variables, as well as their interactions, are all needed to fully understand the age-affect relationship.

Personality Trait Change in Adulthood

Recent longitudinal and cross-sectional aging research has shown that personality traits continue to change in adulthood. In this article, we review the evidence for mean-level change in personality traits, as well as for individual differences in change across the life span. In terms of mean-level change, people show increased self-confidence, warmth, self-control, and emotional stability with age. These changes predominate in young adulthood (age 20–40). Moreover, mean-level change in personality traits occurs in middle and old age, showing that personality traits can change at any age. In terms of individual differences in personality change, people demonstrate unique patterns of development at all stages of the life course, and these patterns appear to be the result of specific life experiences that pertain to a persons stage of life.

Change in Life Satisfaction During Adulthood: Findings From the Veterans Affairs Normative Aging Study.

Change in life satisfaction was modeled over a 22-year period in 1,927 men. A curvilinear relationship emerged. Growth-curve models indicated that life satisfaction peaked at age 65 and then declined, but showed significant individual differences in rate of change. Extraversion predicted variability in change, with higher levels associated with a high and flat life satisfaction trajectory. Time-varying physical health and marital status were associated with higher life satisfaction. Proximity to death was associated with a decline in life satisfaction. On measurement occasions that were within 1 year before death, trajectories showed steeper decline, and this effect was not attributable to declines in self-rated physical health. The findings are at odds with prior (cross-sectional) research showing that subjective well-being improves with aging.

Personality Change Influences Mortality in Older Men

Previous studies have indicated that high neuroticism is associated with early mortality. However, recent work suggests that peoples level of neuroticism changes over long periods of time. We hypothesized that such changes in trait neuroticism affect mortality risk. Growth-curve parameters (levels and slopes) that quantified the trajectories of neuroticism change over 12 years were used to predict 18-year risk of mortality among 1,663 aging men. Proportional hazards models were used to estimate mortality risk from level and slope parameters, controlling for objective and subjective health, depression, and age. Although a parallel analysis of extraversion showed no significant effects, level and slope of neuroticism interacted in their effect on mortality. Men who had both a high average level of neuroticism and an increasing level of neuroticism over time had much lower survival than men without that combination. These findings suggest that it is not just the level of personality traits, but their direction of change, that is related to mortality.

Construct validation of optimism and pessimism in older men: Findings from the normative aging study.

Validation of Scheier and Carvers (1985) Life Orientation Test (LOT) has identified associations between bipolar optimism and several external constructs. However, optimism and pessimism may be not bipolar, but rather separate constructs. Furthermore, these constructs may be indistinguishable from personality traits, such as neuroticism and extraversion. This study examined the associations of separate optimism and pessimism measures with self-reports of hassles, psychological symptoms, and illness severity, controlling for personality. Ss were 1,192 men from the Normative Aging Study. Findings suggest that optimism and pessimism are separate and that their relations to external criteria remain, although attenuated, when neuroticism and extraversion are controlled.

Age and Emotion in Adulthood

Evidence suggests that positive affect rises from youth through young and then older adulthood, but may decline after ones mid-70s. Negative affect appears to decrease steadily from early adulthood to older adulthood, but this decline may taper off in the oldest years. The relationship between age and affect in adulthood is further complicated by the effects of moderators, such as extraversion and marital status. Despite these complexities, recent empirical studies and current theory have furthered the understanding of age and affect in adulthood, although important questions remain.

Personality Trait Level and Change as Predictors of Health Outcomes: Findings From a National Study of Americans (MIDUS)

OBJECTIVES Personality traits predict numerous health outcomes, but previous studies have rarely used personality change to predict health. METHODS The current investigation utilized a large national sample of 3,990 participants from the Midlife in the U.S. study (MIDUS) to examine if both personality trait level and personality change longitudinally predict 3 different health outcomes (i.e., self-rated physical health, self-reported blood pressure, and number of days limited at work or home due to physical health reasons) over a 10-year span. RESULTS Each of the Big Five traits, except openness, predicted self-rated health. Change in agreeableness, conscientiousness, and extraversion also predicted self-rated health. Trait levels of conscientiousness and neuroticism level predicted self-reported blood pressure. All trait levels except agreeableness predicted number of work days limited. Only change in conscientiousness predicted the number of work days limited. DISCUSSION Findings demonstrate that a full understanding of the link between personality and health requires consideration of trait change as well as trait level.

Differential Stability and Individual Growth Trajectories of Big Five and Affective Traits During Young Adulthood

Big Five and affective traits were measured at three assessments when participants were on average 18, 21, and 24 years old. Rank-order stability analyses revealed that stability correlations tended to be higher across the second compared to the first retest interval; however, affective traits consistently were less stable than the Big Five. Median stability coefficients for the Big Five increased from .62 (Time 1 vs. Time 2) to .70 (Time 2 to Time 3); parallel increases also were observed for measures of negative affectivity (median rs=.49 and .55, respectively) and positive affectivity (median rs=.48 and .57, respectively). Growth curve analyses revealed significant change on each of the Big Five and affective traits, although many of the scales also showed significant variability in individual trajectories. Thus, rank-order stability is increasing for a range of personality traits, although there also is significant variability in change trajectories during young adulthood.

Big 5 personality traits and interleukin-6: Evidence for “healthy Neuroticism” in a US population sample

The current study investigated if the Big 5 personality traits predicted interleukin-6 (IL-6) levels in a national sample over the course of 5years. In addition, interactions among the Big 5 were tested to provide a more accurate understanding of how personality traits may influence an inflammatory biomarker. Data included 1054 participants in the Midlife Development in the U.S. (MIDUS) biomarkers subproject. The Big 5 personality traits were assessed in 2005-2006 as part of the main MIDUS survey. Medication use, comorbid conditions, smoking behavior, alcohol use, body mass index, and serum levels of IL-6 were assessed in 2005-2009 as part of the biomarkers subproject. Linear regression analyses examined personality associations with IL-6. A significant Conscientiousness*Neuroticism interaction revealed that those high in both Conscientiousness and Neuroticism had lower circulating IL-6 levels than people with all other configurations of Conscientiousness and Neuroticism. Adjustment for health behaviors diminished the magnitude of this association but did not eliminate it, suggesting that lower comorbid conditions and obesity may partly explain the lower inflammation of those high in both Conscientiousness and Neuroticism. Our findings suggest, consistent with prior speculation, that average to higher levels of Neuroticism can in some cases be associated with health benefits - in this case when it is accompanied by high Conscientiousness. Using personality to identify those at risk may lead to greater personalization in the prevention and remediation of chronic inflammation.