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Anxiety and depression are both important correlates of cognitive function. However, longitudinal studies investigating how they covary with cognition within the same individual are scarce. We aimed to simultaneously estimate associations of between-person differences and within-person variability in anxiety and depression with cognitive performance in a sample of non-demented older people.

Participants in the Lothian Birth Cohort 1921 study, a population-based narrow-age sample (mean age at wave 1 = 79 years, n = 535), were examined on five occasions across 13 years. Anxiety and depression were measured with the Hospital Anxiety and Depression Scale (HADS) and cognitive performance was assessed with tests of reasoning, logical memory, and letter fluency. Data were analyzed using two-level linear mixed-effects models with within-person centering.

Divergent patterns were observed for anxiety and depression. For anxiety, between-person differences were more influential; people who scored higher on HADS anxiety relative to other same-aged individuals demonstrated poorer cognitive performance on average. For depression, on the other hand, time-varying within-person differences were more important; scoring higher than usual on HADS depression was associated with poorer cognitive performance relative to the average level for that participant. Adjusting for gender, childhood mental ability, emotional stability, and disease burden attenuated these associations.

The results from this study highlight the importance of addressing both between- and within-person effects of negative mood and suggest that anxiety and depression affect cognitive function in different ways. The current findings have implications for assessment and treatment of older age cognitive deficits.

Little is known about violence against children in refugee camps and settlements, and the evidence-base concerning mental health outcomes of youth in refugee settings in low and middle-income countries is similarly small. Evidence is needed to understand patterns of violence against children in refugee camps, and associations with adverse mental health outcomes.

Surveys were conducted with adolescent refugees (aged 13–17) in two refugee contexts – Kiziba Camp, Rwanda (n = 129) (refugees from Democratic Republic of Congo) and Adjumani and Kiryandongo refugee settlements, Uganda (n = 471) (refugees from South Sudan). Latent Class Analysis was utilized to identify classes of violence exposure (including exposure to witnessing household violence, verbal abuse, physical violence and sexual violence). Logistic regressions explored the association between latent class of violence exposure and symptoms of depression and anxiety.

In Rwanda, a two-class solution was identified, with Class 1 (n = 33) representing high levels of exposure to violence and Class 2 (n = 96) representing low levels of exposure. In Uganda, a three-class solution was identified: Class 1 (high violence; n = 53), Class 2 (low violence, n = 100) and Class 3 (no violence, n = 317). Logistic regression analyses indicated that latent violence class was associated with increased odds of high anxiety symptoms in Rwanda (AOR 3.56, 95% CI 1.16–0.95), and high v. no violence class was associated with depression (AOR 3.97, 95% CI 1.07–7.61) and anxiety symptoms (AOR 2.04, 95% CI 1.05–3.96) in Uganda.

The present results support the existing evidence-base concerning the association between violence and adverse mental health outcomes, while identifying differences in patterns and associations between refugee youth in two different contexts.

Major depression is associated with significant disability, morbidity, and mortality. The current study estimated trends in the prevalence of major depression in the US population from 2005 to 2015 overall and by demographic subgroups.

Data were drawn from the National Survey on Drug Use and Health (NSDUH), an annual cross-sectional study of US persons ages 12 and over (total analytic sample N = 607 520). Past-year depression prevalence was examined annually among respondents from 2005 to 2015. Time trends in depression prevalence stratified by survey year were tested using logistic regression. Data were re-analyzed stratified by age, gender, race/ethnicity, income, and education.

Depression prevalence increased significantly in the USA from 2005 to 2015, before and after controlling for demographics. Increases in depression were significant for the youngest and oldest age groups, men, and women, Non-Hispanic White persons, the lowest income group, and the highest education and income groups. A significant year × demographic interaction was found for age. The rate of increase in depression was significantly more rapid among youth relative to all older age groups.

The prevalence of depression increased significantly in the USA from 2005 to 2015. The rate of increase in depression among youth was significantly more rapid relative to older groups. Further research into understanding the macro level, micro level, and individual factors that are contributing to the increase in depression, including factors specific to demographic subgroups, would help to direct public health prevention and intervention efforts.

We do not know how primary care treatment of depression varies by age across both psychotropic medication and psychological therapies.

Cohort study including 19 710 people aged 55+ with GP recorded depression diagnoses and 26 276 people with recorded depression symptoms during the period 2009–2013, from 373 General Practices in The Health Improvement Network (THIN) database in England. Main outcomes were initiation of treatment with anti-depressants, anxiolytics, hypnotics, anti-psychotic drugs, referrals to psychological therapies within 6 months of onset.

Treatment rates with antidepressants are high for those recorded with new depression diagnoses (87.1%) or symptoms of depression (58.7%). Treatment in those with depression diagnoses varies little by age. In those with depressive symptoms there was a J-shaped pattern with reduced antidepressant treatment in those in their 60s and 70s followed by increased treatment in the oldest age groups (85+ years), compared with those aged 55–59 years. Other psychotropic drug prescribing (hypnotics/anxiolytics, antipsychotics) all increase with increasing age. Recorded referrals for psychological therapies were low, and decreased steadily with increasing age, such that women aged 75–79 years with depression diagnoses had around six times lower odds of referral (OR 0.17, 95% CI 0.1–0.29) than those aged 55–59 years, and men aged 80–84 years had around seven times lower (OR 0.14, 95% CI 0.05–0.36).

The oldest age groups with new depression diagnoses and symptoms have fewer recorded referrals to psychological therapies, and higher psychotropic drug treatment rates in primary care. This suggests potential inequalities in access to psychological therapies.

Differences between verbal and non-verbal cognitive development from childhood to adulthood may differentiate between those with and without psychotic symptoms and affective symptoms in later life. However, there has been no study exploring this in a population-based cohort.

The sample was drawn from the MRC National Survey of Health and Development, and consisted of 2384 study members with self-reported psychotic experiences and affective symptoms at the age of 53 years, and with complete cognitive data at the ages of 8 and 15 years. The association between verbal and non-verbal cognition at age 8 years and relative developmental lag from age 8 to 15 years, and both adult outcomes were tested with the covariates adjusted, and mutually adjusted for verbal and non-verbal cognition.

Those with psychotic experiences [thought interference (n = 433), strange experience (n = 296), hallucination (n = 88)] had lower cognition at both the ages of 8 and 15 years in both verbal and non-verbal domains. After mutual adjustment, lower verbal cognition at age 8 years and greater verbal developmental lag were associated with higher likelihood of psychotic experiences within individuals, whereas there was no association between non-verbal cognition and any psychotic experience. In contrast, those with case-level affective symptoms (n = 453) had lower non-verbal cognition at age 15 years, and greater developmental lag in the non-verbal domain. After adjustment, lower non-verbal cognition at age 8 years and greater non-verbal developmental lag were associated with higher risk of case-level affective symptoms within individuals.

These results suggest that cognitive profiles in childhood and adolescence differentiate psychiatric disease spectra.

To assess the association between food insecurity and depression symptom severity stratified by sex, and test for evidence of effect modification by social network characteristics.

A population-based cross-sectional study. The nine-item Household Food Insecurity Access Scale captured food insecurity. Five name generator questions elicited network ties. A sixteen-item version of the Hopkins Symptom Checklist for Depression captured depression symptom severity. Linear regression was used to estimate the association between food insecurity and depression symptom severity while adjusting for potential confounders and to test for potential network moderators.

In-home survey interviews in south-western Uganda.

All adult residents across eight rural villages; 96 % response rate (n 1669).

Severe food insecurity was associated with greater depression symptom severity (b=0·4, 95 % CI 0·3, 0·5, P<0·001 for women; b=0·3, 95 % CI 0·2, 0·4, P<0·001 for men). There was no evidence of effect modification by social network factors for women. However, for men who are highly embedded within in their village social network, and (separately) for men who have few poor contacts in their personal network, the relationship between severe food insecurity and depression symptoms was stronger than for men on the periphery of their village social network, and for men with many poor personal network contacts, respectively.

In this population-based study from rural Uganda, food insecurity was associated with mental health for both men and women. Future research is needed on networks and food insecurity-related shame in relation to depression symptoms among food-insecure men.

Cognitive models postulate that negative-self-schemas (NSS) cause and maintain positive symptoms and that negative affect mediates this link. However, only few studies have tested the temporal mediation claim systematically using an appropriate design.

A longitudinal cohort design in an online community sample (N = 962) from Germany, Indonesia, and the USA was used. NSS, negative affect and positive symptoms were measured at four time-points (T0–T3) over a 1-year period. Cross-lagged panel and longitudinal mediation analyses with structural equation modeling were used to test the temporal mediation.

Independent cross-lagged panel models showed a significant unidirectional longitudinal path from NSS to positive symptoms (T2–T3, β = 0.18, p < 0.01) and bidirectional longitudinal associations from NSS to negative affect (T0–T1, γ = 0.14, p < 0.01) and vice versa (T0–T1, γ = 0.19, p < 0.01). There was also a significant indirect pathway from NSS at baseline via negative affect at T1 and T2 to positive symptoms at T3 (unstandardized indirect effect coefficient = 0.020, p < 0.05, BCa CI 0.004–0.035), indicating mediation.

Our findings support the postulated affective pathway from NSS to positive symptoms via negative affect. Specifically, our data indicate that NSS and negative affect influence each other and build up over the course of several months before leading on to positive symptoms. We conclude that interrupting this process by targeting NSS and negative affect early in the process could be a promising strategy to prevent the exacerbation of positive symptoms.

Physical frailty and depression are common comorbid conditions that have important impact on older adults. Few studies however have examined their co-occurrence in centenarians. This paper explores the relationship between the two conditions and the most characteristic depressive symptoms associated with the frailty syndrome.

Data come from two Portuguese Centenarian Studies. Frailty was measured using Fried's phenotype, which includes at least three clinical signs: exhaustion, weight loss, weakness, slowness, and low physical activity level; the Geriatric Depression Scale was used to assess depression. Descriptive comparison and binary logistic regression models were used for data analysis.

The final sample comprised 91 centenarians (mean age = 101.0, SD = 1.3; 85.7% female). From these, 5.5% were classified as robust, 42.9% as pre-frail, and 51.6% as frail. The prevalence of depression in the whole sample was 35.2% (51.1% in frail centenarians; 21.1% in pre-frail centenarians; 0% in robust centenarians). Frail centenarians presented higher risk of depression (OR = 3.92; 95% CI 1.48–10.4) when compared to pre-frail centenarians. Findings from the multivariable model (gender, living arrangements, education, cognition, subjective health, current illness, and functionality) revealed that only subjective health remained significant.

It seems that depression is a comorbid clinical independent condition that is frequent in frail and pre-frail centenarians.

The postpartum period is well-known risk period for the first onset of autoimmune thyroid disorders (AITDs) as well as first onset of psychiatric disorders. These two disorders are some of the most prevalent medical conditions postpartum, often misdiagnosed and disabling if left untreated. Our study was designed to explore the possible bidirectional association between AITDs and psychiatric disorders during the postpartum period.

A population-based cohort study through linkage of Danish national registers, which comprised 312 779 women who gave birth to their first child during 1997–2010. We conducted Poisson regression analysis to estimate the incidence rate ratio (IRR) of psychiatric disorders among women with first-onset AITDs, the IRR of AITDs among women with first-onset psychiatric disorders as well as the overlap between these disorders using a comorbidity index.

Women with first-onset AITDs postpartum were more likely to have first-onset psychiatric disorders than women who did not have postpartum AITDs (IRR = 1.88, 95% confidence interval (CI): 1.25–2.81). Women with first-onset postpartum psychiatric disorders had a higher risk of AITDs than women with no psychiatric disorders (IRR = 2.16, 95% CI: 1.45–3.20). The comorbidity index 2 years after delivery was 2.26 (95% CI: 1.61–2.90), indicating a comorbidity between first-onset AITDs and psychiatric disorders.

First-onset AITDs and psychiatric disorders co-occur in the postpartum period, which has relevance to further studies on the etiologies of these disorders and why childbirth in particular triggers the onset.

The Behavioral Health Laboratory (BHL), a telephone-based mental health assessment, is a cost-effective approach that can improve mental illness identification and management. The individual BHL instruments, which were originally designed to be administered in-person, have not yet been validated with an in-person BHL assessment. This study therefore aims to characterize the concordance between the BHL data gathered by telephone and in-person interviews.

A cross-sectional study was conducted with English-speaking aging services network (ASN) clients aged 60 years and older in Monroe County, NY who were randomized to a BHL interview either in-person (n = 55) or by telephone (n = 53).

There was strong evidence of equivalence between telephone and in-person interviews for depressive disorders, generalized anxiety, panic disorder, drug misuse, psychosis, PTSD, mental illness symptom severity, and five of the six questions assessing suicidality. There was marginal equivalence in PHQ-9 total scores and one of the six questions assessing suicidal ideation, and no evidence of equivalence between interview modalities for assessing cognitive impairment.

With a few exceptions, the BHL gathered nearly equivalent information via telephone as compared to in-person interviews. This suggests that the BHL may be a cost-effective approach appropriate for dissemination in a wide variety of settings including the ASN. Dissemination of the BHL has the potential to strengthen the linkages between primary care, mental healthcare, and social service providers and improve identification and management of those with late-life mental illness.

Individual differences in neuroticism, extraversion, and conscientiousness are associated with, and may predict onset of, internalizing disorders. These general traits can be parsed into facets, but there is a surprising paucity of research on facet risk for internalizing disorders. We examined general traits and facets of neuroticism, extraversion, and conscientiousness in predicting first onsets of depressive and anxiety disorders.

A community sample of 550 adolescent females completed general and facet-level personality measures and diagnostic interviews. Interviews were re-administered 18 months later.

First onsets of depressive disorders were predicted by neuroticism, extraversion, and conscientiousness. Facets predicting first onset of depression included depressivity (neuroticism facet) and lower positive emotionality and sociability (extraversion facets). First onsets of generalized anxiety disorder (GAD) were predicted by neuroticism, and particularly the facet of anxiousness. First onsets of social phobia were predicted at the facet level by anxiousness. First onsets of specific phobia were predicted by neuroticism, low conscientiousness, and all neuroticism facets. In multivariate analyses, first onsets of depression were uniquely predicted by depressivity, and onsets of GAD and social phobia were uniquely predicted by anxiousness over and above the general trait of neuroticism.

General traits predict first onsets of depressive and anxiety disorders. In addition, more specific associations are evident at the facet level. Facets can refine our understanding of the links between personality and psychopathology risk, and provide finer-grained targets for personality-informed interventions.

There is evidence to suggest that individual components of dietary intake are associated with depressive symptoms. Studying the whole diet, through dietary patterns, has become popular as a way of overcoming intercorrelations between individual dietary components; however, there are conflicting results regarding associations between dietary patterns and depressive symptoms. We examined the associations between dietary patterns extracted using principal component analysis and depressive symptoms, taking account of potential temporal relationships.

Depressive symptoms in parents were assessed using the Edinburgh Postnatal Depression Scale (EPDS) when the study child was 3 and 5 years of age. Scores >12 were considered indicative of the presence of clinical depressive symptoms. Diet was assessed via FFQ when the study child was 4 years of age.

Longitudinal population-based birth cohort.

Mothers and fathers taking part in the Avon Longitudinal Study of Parents and Children when their study child was 3–5 years old.

Unadjusted results suggested that increased scores on the ‘processed’ and ‘vegetarian’ patterns in women and the ‘semi-vegetarian’ pattern in men were associated with having EPDS scores ≥13. However, after adjustment for confounders all results were attenuated. This was the case for all those with available data and when considering a sub-sample who were ‘disease free’ at baseline.

We found no association between dietary patterns and depressive symptoms after taking account of potential confounding factors and the potential temporal relationship between them. This suggests that previous studies reporting positive associations may have suffered from reverse causality and/or residual confounding.

Although quality of life (QoL) is receiving increasing attention in bipolar disorder (BD) research and practice, little is known about its naturalistic trajectory. The dual aims of this study were to prospectively investigate: (a) the trajectory of QoL under guideline-driven treatment and (b) the dynamic relationship between mood symptoms and QoL.

In total, 362 patients with BD receiving guideline-driven treatment were prospectively followed at 3-month intervals for up to 5 years. Mental (Mental Component Score – MCS) and physical (Physical Component Score – PCS) QoL were measured using the self-report SF-36. Clinician-rated symptom data were recorded for mania and depression. Multilevel modelling was used to analyse MCS and PCS over time, QoL trajectories predicted by time-lagged symptoms, and symptom trajectories predicted by time-lagged QoL.

MCS exhibited a positive trajectory, while PCS worsened over time. Investigation of temporal relationships between QoL and symptoms suggested bidirectional effects: earlier depressive symptoms were negatively associated with mental QoL, and earlier manic symptoms were negatively associated with physical QoL. Importantly, earlier MCS and PCS were both negatively associated with downstream symptoms of mania and depression.

The present investigation illustrates real-world outcomes for QoL under guideline-driven BD treatment: improvements in mental QoL and decrements in physical QoL were observed. The data permitted investigation of dynamic interactions between QoL and symptoms, generating novel evidence for bidirectional effects and encouraging further research into this important interplay. Investigation of relevant time-varying covariates (e.g. medications) was beyond scope. Future research should investigate possible determinants of QoL and the interplay between symptoms and wellbeing/satisfaction-centric measures of QoL.