Janet K. Spittlehouse

Measures of temperament and character are differentially impacted on by depression severity.

BACKGROUND Cloningers Temperament and Character Inventory (TCI) is a widely used measure of personality. Two scales of the TCI, harm avoidance (HA) and self directedness (SD), have been shown to be influenced by depressed mood. We examined how the seven TCI scales and their subscales are correlated with depression severity before and after treatment. We also examined whether changes in personality measures could be attributed to changes in depression severity. METHODS Two clinical samples of depressed out-patients were recruited for trials to examine predictors of treatment response to antidepressants (N=195) and psychotherapies (N=177). Assessment included the Montgomery-Asberg depression rating scales (MADRS), Hopkins Symptom Checklist (SCL-90) and TCI at baseline and after treatment. RESULTS After treatment, in both samples, depression severity correlated significantly with HA and negatively with SD. Multiple regression analysis revealed that changes in SD and HA over treatment were related to improvement in depression. In the psychotherapy trial baseline MADRS scores correlated with low SD and high HA. LIMITATIONS The trial results are applicable to mild-moderately depressed out-patients. CONCLUSIONS Depression severity influences the total scales and most of the subscale measures of HA and SD. Some personality traits, as measured by the TCI, were not impacted upon by mood. Clinically mood should be taken into account when assessing personality measures of negative affect using the TCI.

Ongoing adverse mental health impact of the earthquake sequence in Christchurch, New Zealand

Objective: In September 2010 Christchurch, New Zealand, was struck by a 7.1 magnitude earthquake, followed by a prolonged sequence of significant aftershocks including a fatal aftershock in February 2011. Christchurch City has experienced widespread damage, ongoing disruption and building demolitions resulting in many difficulties for the residents of the Christchurch area. We explore what impact the earthquakes have had on the mental and physical health of a random sample of 50-year-olds who live in the Christchurch area. Methods: The 295 participants were selected from the electoral rolls for participation in the CHALICE study, a longitudinal study of ageing. Self-reported health status was assessed using the standardised Short Form 36 version 2 health survey (SF-36v2), a 36-item questionnaire, and results from the eight subscales compared to a national health survey. Mood disorders were assessed and the results were compared to other local and national studies. Results: Since the onset of the earthquakes and throughout the study period, participating middle-aged Christchurch residents have mean SF-36v2 scores significantly lower than population norms in the mental health, vitality, social functioning and role-emotional subscales (Cohen’s d ranged from −0.270 to −0.357, all p < 0.001), while there was no evidence of reduced physical health. Rates of current major depressive disorder were 7.5% in the earthquake survivors compared to 5.1% and 3.7% in other historical, local and national surveys. Similarly, bipolar disorder prevalence was 2.8% in the earthquake survivors compared to 2.2% and 1.4% in other studies. Conclusion: Eighteen months after the first earthquake the significant adverse impact on mental health clearly continues. The ongoing provision of additional mental health services and consideration of these adverse mental health effects in relation to other social policies remains necessary and fundamental.

Temperament and character as determinants of well-being.

OBJECTIVES We aimed to evaluate the effects of Temperament and Character Inventory (TCI) personality measures on well-being scores in a sample of 49-51 year old New Zealanders. Previous research has linked high self-directedness (SD) and low harm avoidance (HA) with well-being. We hypothesised that SD and HA would have predictive power for Warwick-Edinburgh Mental Well-being Scale (WEMWBS) well-being. We anticipated that character profiles with high SD and cooperativeness (CO) would be associated with higher well-being scores while high self transcendence (ST) scores would have less of an influence on well-being in a secular population such as New Zealand. Additionally we aimed to describe and assess the performance of a well-being measure, the WEMWBS and we intended to clarify the factors that underlie the questionnaire. METHODS A cohort of 404 randomly selected participants in a study of ageing had WEMWBS means calculated and with principal component analysis used to investigate the factors that underlie the WEMWBS. Multiple hierarchical regression was used to predict WEMWBS scores from socio-demographic and TCI personality variables. ANOVA were used to explore the non-linear effects of personality profiles on well-being. RESULTS Principal components analysis revealed one significant factor which explained 54.34% of the variance. After initial univariate analysis current depression, marital status and standard of living were entered at the first step of the multivariate regression. They explained 20% of the variance. In step two the seven TCI personality variables were added to the model, explaining a total of 49% (R(2) change=0.29). Low HA, high SD and the absence of current depression were the main predictors of WEMWBS scores. Character profiles featuring high SD produced significantly higher scores on the WEMWBS. Total WEMWBS scores were normally distributed, and the mean was 52.83 (95% CI 51.96-53.70). CONCLUSIONS The key determinants of well-being were absence of current depression and personality variables, especially low HA and high SD. The WEMWBS has face validity and the New Zealand results were very similar to the UK results.

Vitamin C Status Correlates with Markers of Metabolic and Cognitive Health in 50-Year-Olds: Findings of the CHALICE Cohort Study

A cohort of 50-year-olds from Canterbury, New Zealand (N = 404), representative of midlife adults, undertook comprehensive health and dietary assessments. Fasting plasma vitamin C concentrations (N = 369) and dietary vitamin C intake (N = 250) were determined. The mean plasma vitamin C concentration was 44.2 µmol/L (95% CI 42.4, 46.0); 62% of the cohort had inadequate plasma vitamin C concentrations (i.e., <50 µmol/L), 13% of the cohort had hypovitaminosis C (i.e., <23 µmol/L), and 2.4% had plasma vitamin C concentrations indicating deficiency (i.e., <11 µmol/L). Men had a lower mean plasma vitamin C concentration than women, and a higher percentage of vitamin C inadequacy and deficiency. A higher prevalence of hypovitaminosis C and deficiency was observed in those of lower socio-economic status and in current smokers. Adults with higher vitamin C levels exhibited lower weight, BMI and waist circumference, and better measures of metabolic health, including HbA1c, insulin and triglycerides, all risk factors for type 2 diabetes. Lower levels of mild cognitive impairment were observed in those with the highest plasma vitamin C concentrations. Plasma vitamin C showed a stronger correlation with markers of metabolic health and cognitive impairment than dietary vitamin C.

Mean telomere length is not associated with current health status in a 50-year-old population sample.

Telomeres are nucleoprotein complexes that cap the ends of linear chromosomes. Telomeric DNA decreases with age and shows considerable heterogeneity in the wider population. There is interest in the application of telomere length measures as a biomarker of general health or “biological age,” and the possibility of using mean telomere length to gauge individual disease risk, and to promote lifestyle changes to improve health. This study examined the effectiveness of telomere length as a biomarker for an individuals current overall health status by assessing several measures of general health including SF‐36v2 score, current smoking status and a comprehensive obesity phenotype.

Personality, mental health and demographic correlates of hoarding behaviours in a midlife sample

We describe the Temperament and Character Inventory personality traits, demographic features, physical and mental health variables associated with hoarding behaviour in a random community sample of midlife participants in New Zealand. A sample of 404 midlife participants was recruited to a study of ageing. To assess hoarding behaviours participants completed the Savings Inventory-Revised (SI-R), personality was assessed by the Temperament and Character Inventory and self-reported health was measured by the Short Form-36v2 (SF-36v2). Other measures were used to assess socio-demographic variables and current mental disorders. Participants were split into four groups by SI-R total score (scores: 0–4, 5–30, 31–41 and >41). Those who scored >41 on the SI-R were classified as having pathological hoarding. Trend tests were calculated across the four hoarding groups for socio-demographic, personality, mental and physical health variables. SI-R scores ranged from 0 to 58. The prevalence of pathological hoarding was 2.5% and a further 4% reported sub-clinical symptoms of hoarding. Higher hoarding behaviour scores were related to higher Temperament and Character Inventory scores for Harm Avoidance and lower scores for Self-directedness. Persistence and Cooperativeness scores were lower too but to a lesser extent. Trend analysis revealed that those with higher hoarding behaviour scores were more likely to be single, female, unemployed, receive income support, have a lower socio-economic status, lower household income and have poorer self-reported mental health scores. Current depression rates were considerably higher in the pathological hoarding group. Increasing SI-R hoarding behaviour scores were associated with higher scores of negative affect (Harm Avoidance) and lower scores of autonomy (Self-directedness). Those with pathological hoarding or sub-clinical symptoms of hoarding also reported widespread mental and socio-economic problems. In this study it is clear to see the physical, mental and socio-economic problems experienced by those achieving the highest hoarding scores. The prevalence of pathological hoarding was 2.5%, similar to the prevalence reported by other studies. The personality traits associated with hoarding behaviours are discussed.