Sociodemographic risk factors for the persistence of harmful alcohol use: a pooled analysis of prospective cohort studies.

PURPOSE: Previous research suggests several sociodemographic risk factors for the persistence of harmful alcohol use. However, the evidence is limited due to short follow-up times, retrospective reporting and samples comprising only people with alcohol dependence. We pooled data from six prospective cohort studies to systematically evaluate whether the sociodemographic risk factors differ between the incidence and persistence of harmful alcohol use. METHODS: Data were from six prospective cohort studies from the US, UK and Japan (n = 28,394). We conducted a two-stage meta-analysis to examine the associations of six sociodemographic risk factors (sex, age, presence of a partner, educational attainment, smoking and psychological distress) with the incidence and persistence of harmful alcohol use. Tests of heterogeneity were used to evaluate whether the associations differ between the incident and persistent use. RESULTS: Male sex, younger age, higher education, smoking, and psychological distress were associated with a greater risk of both the incidence and the persistence of harmful alcohol use in mutually adjusted models (ORs = 0.97-1.67). There were no differences in the associations of these risk factors with incident and persistent use, except that the association of psychological distress was greater with incident use compared to persistent use (p for heterogeneity < 0.05). CONCLUSIONS: These findings suggest that the incidence and persistence of harmful alcohol use share a similar set of sociodemographic risk factors in the general population.

Impact of physical and sexual abuse on risk of hospitalisations for physical and mental illnesses: insights from two large prospective cohort studies.

Background: Physical abuse can lead to severe health consequences that extend beyond immediate harm. We explored the associations of physical abuse experienced during childhood and adulthood with a wide range of adult health conditions requiring hospital treatment. Methods: We utilised data from a sub-cohort of 157,366 UK Biobank participants (46.4% of the baseline population; age range 45-81; 89,101 women) and repeated analyses in an independent population of 85,929 adults from the Finnish Public Sector (FPS) study (age range 17-78; 68,544 women). Participants in both cohorts reported instances of physical and sexual abuse at study baseline. Follow-up included 77 common health conditions ascertained from linkage data to national hospital and mortality registries. Findings: Mean follow-up duration was 4.6 years (SD 0.14) in UK Biobank and 10.6 years (4.3) in FPS. Physical and sexual abuse was associated with 22 mental and physical health conditions. After multivariable adjustments, participants who experienced abuse during both early and later stages of life had a 2.12- (95% confidence interval 1.39-3.23) to 3.37-fold (1.52-7.45) increased risk of mental and behavioural disorders, a 1.46 (1.20-1.79) to 1.83 (1.05-3.20) times increased risk of metabolic, haematologic, and respiratory diseases, and a 1.24 (1.07-1.45) times higher risk of inflammatory diseases compared with non-exposed participants. The absolute risk difference between these groups was greatest for metabolic and haematologic conditions (rate 381 and risk difference 160 per 100,000 person-years). Frailty, comorbidities, and competing risk of death did not modify these associations, but the possibility of bias or residual confounding cannot be excluded. Interpretation: Repeated exposure to physical and sexual abuse amplifies the risk of hospitalisations from mental disorders and physical diseases spanning diverse organ systems. Addressing this issue may necessitate multifaceted strategies, including shifts in societal norms, legal measures, and increased healthcare provision for affected individuals and their families. Funding: Wellcome Trust, UK Medical Research Council, U.S. National Institute on Aging, Academy of Finland.

Physical activity and specific symptoms of depression: A pooled analysis of six cohort studies.

BACKGROUND: The association between physical activity (PA) and depression is well-established, but the details that explain this association remain elusive. We examined whether PA is differentially associated with specific symptoms of depression (e.g., cognitive vs somatic symptoms), and whether these associations follow a dose-response pattern with respect to intensity or frequency of PA. METHODS: Cross-sectional analyses were based on 6 samples of the continuous U.S. National Health and Nutrition Examination Surveys (NHANES) carried out between 2007 and 2018 (n = 28,520). Depressive symptoms were assessed with Patient Health Questionnaire 9 (PHQ-9). Information about PA (vigorous, moderate, and daily commuting by foot or bike) and covariates was self-reported. RESULTS: After adjusting for education, health behaviors, body-mass index, physical functioning, and all the other depressive symptoms, lower PA was specifically associated with four depressive symptoms: loss of interest/pleasure, feeling down/hopeless, fatigue, and changes in appetite (odds ratios from 0.94 to 0.59). A monotonic dose-response pattern on PA amount was observed only for interest/pleasure and fatigue, and these associations were independent of PA intensity. LIMITATIONS: Cross-sectional data did not allow us to assess temporal ordering. Both depressive symptoms and PA were self-reported, which may induce bias. CONCLUSION: Low PA may be linked to depressive symptoms particularly through the symptoms of anhedonia and fatigue. Given that their association with PA amount follows a dose-response pattern and is independent of PA intensity, we hypothesize that behavioral activation and exposure to rewarding experiences might help to explain why PA alleviates depression.

Loneliness and cognitive function in older adults: Longitudinal analysis in 15 countries.

This study aims to evaluate the directionality of the association between loneliness and cognitive performance in older adults, accounting for confounding factors. Data were from 55,662 adults aged ≥ 50 years who participated in Waves 5-8 of the Survey of Health, Ageing and Retirement in Europe (SHARE). Loneliness was assessed with the Three-Item Loneliness Scale (TILS) and with a one-item direct question. Cognitive performance was assessed with four measures: verbal fluency, numeracy, immediate recall, and delayed recall. Age, sex, geographical area, educational attainment, partnership status, depressive symptoms, and previous chronic diseases at baseline were used as covariates. We analyzed the associations with three-wave random intercept cross-lagged panel models (RI-CLPM) and conducted age-stratified analysis among those younger versus older than 65 years. Full information maximum likelihood estimators were used to handle missing values in Waves 6-8 in the main analyses. We also conducted additional sensitivity analyses stratified by retirement status (retired vs. not) at baseline. At the within-person level, loneliness and cognitive performance were not associated with each other among those aged 50-64 years in the main time-lagged analysis. Among those aged ≥ 65 years, loneliness was associated with lower cognitive performance in the next wave in all four cognitive domains. In addition, lower verbal fluency predicted greater loneliness in the next waves among this age group. Similar patterns were found independently of retirement status at baseline. These results suggest that loneliness is a psychosocial risk factor for cognitive decline among older adults (≥ 65 years). (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Associations between early family environment and ideal number of children.

Childhood family is vital for the formation of fertility preferences and attitudes towards family life. Yet previous studies mainly focused on structural aspects of the family, whereas the role of perceptions of one's family in relation to fertility preferences remained largely understudied. This study examined how different aspects of the early family environment (i.e. relationships with parents, happiness in childhood, parental conflicts, family resources, as well as family structure) are related to the ideal number of children reported in adulthood. Using representative cross-sectional survey data from the Finnish Family Barometer 2015, the sample comprised men and women aged 20-45 with and without children. Poisson regression models indicated that a higher number of siblings was associated with a higher ideal number of children, whereas living in a single-parent household and overall negative perceptions of parents were related to a lower ideal number of children independent of various socio-demographic characteristics. Further analyses showed that these family characteristics were associated with the ideal number of children mainly among childless people but not among parents. The findings suggest that the early family environment is related to the formation of the ideal number of children, especially for childless people.

Health trajectories of individuals who quit active religious attendance: analysis of four prospective cohort studies in the United States.

PURPOSE: To examine whether trajectories of health (depressive symptoms, psychological wellbeing, self-rated health, and body mass index) and health behaviors (smoking, heavy alcohol consumption, physical inactivity, and cannabis use) changed for individuals who first reported at least monthly religious attendance and then in subsequent study waves reported no active religious attendance. METHODS: Data were from four cohort studies from the United States collected between 1996 and 2018: National Longitudinal Survey of 1997 (NLSY1997); National Longitudinal Survey of Young Adults (NLSY-YA); Transition to Adulthood Supplement of the Panel Study of Income Dynamics (PSID-TA); and Health and Retirement Study (HRS) with a total n = 6592 individuals and 37,743 person-observations. RESULTS: None of the 10-year trajectories of health or health behaviors changed for the worse after the change from active to inactive religious attendance. Instead, the adverse trends were observed already during the time of active religious attendance. CONCLUSION: These results suggest that religious disengagement is a correlate-not a cause-of a life course characterized by poorer health and health behaviors. The religious decline caused by people leaving their religion is unlikely to influence population health.

Association Between Depression and Physical Conditions Requiring Hospitalization.

Importance: Depression is associated with an increased risk of physical illness, but the most common causes of hospitalization among people with depression are unclear. Objective: To examine the association of depression with an array of physical conditions requiring hospital treatment. Design, Setting, and Participants: In this outcomewide prospective multicohort study, primary analysis was based on data from the UK Biobank, a population-based study in the United Kingdom. Analyses were repeated in an independent data set of 2 cohorts in Finland, a population-based study and an occupational cohort. Data analysis was conducted between April and September 2022. Exposures: Self-reported depression, recurrent severe major depression, recurrent moderate major depression, and a single major depressive episode. Main Outcomes and Measures: A total of 77 common health conditions ascertained from linkage data to national hospital and mortality registries. Results: The analytical sample of UK Biobank participants consisted of 130 652 individuals (71 565 women [54.8%]; 59 087 men [45.2%]; mean [SD] age at baseline, 63.3 [7.8] years). The pooled data from the Finnish replication cohorts included 109 781 participants (82 921 women [78.6%]; 26 860 men [21.4%]; mean [SD] age, 42 [10.8] years). In the main analysis, severe/moderately severe depression was associated with the incidence of 29 nonoverlapping conditions requiring hospital treatment during a 5-year follow-up. Twenty-five of these associations remained after adjustment for confounders and multiple testing (adjusted hazard ratio [HR] range, 1.52-23.03) and were confirmed in the analysis of the Finnish cohorts. These included sleep disorders (HR, 5.97; 95% CI, 3.27-10.89), diabetes (HR, 5.15; 95% CI, 2.52-10.50), ischemic heart disease (HR, 1.76; 95% CI, 1.36-2.29), chronic obstructive bronchitis (HR, 4.11; 95% CI, 2.56-6.60), bacterial infections (HR, 2.52; 95% CI, 1.99-3.19), back pain (HR, 3.99; 95% CI, 2.96-5.38), and osteoarthritis (HR, 1.80; 95% CI, 1.46-2.20). The highest cumulative incidence was observed for endocrine and related internal organ diseases (245 per 1000 persons with depression; risk difference relative to unaffected individuals: 9.8%), musculoskeletal diseases (91 per 1000 persons; risk difference, 3.7%), and diseases of the circulatory system and blood (86 per 1000 persons; risk difference, 3.9%). The cumulative incidence was lower for hospital-treated mental, behavioral, and neurological disorders (20 in 1000 persons; risk difference, 1.7%). Depression was also associated with disease progression in people with prevalent heart disease or diabetes, and for 12 conditions, there was evidence of a bidirectional relationship. Conclusions and Relevance: In this study, the most common causes of hospitalization in people with depression were endocrine, musculoskeletal, and vascular diseases, not psychiatric disorders. These findings suggest that depression should be considered as a target for the prevention of physical and mental disease.

Obesity as a causal risk factor for depression: Systematic review and meta-analysis of Mendelian Randomization studies and implications for population mental health.

BACKGROUND/OBJECTIVES: Obesity has been associated with elevated risk of depression. If this association is causal, the increasing obesity prevalence might lead to worsening population mental health, but the strength of the causal effect has not been systematically evaluated. SUBJECTS/METHODS: The current study provides a systematic review and meta-analysis of studies examining associations between body mass index and depression using Mendelian randomization with multiple genetic variants as instruments for body mass index. We used this estimate to calculate the expected changes in prevalence of population psychological distress from the 1990s-2010s, which were compared with the empirically observed trends in psychological distress in the Health Survey for England (HSE) and U.S. National Health Interview Surveys (NHIS). RESULTS: Meta-analysis of 8 Mendelian randomization studies indicated an OR = 1.33 higher depression risk associated with obesity (95% confidence interval 1.19, 1.48). Between 15% and 20% of the participants of HSE and NHIS reported at least moderate psychological distress. The increase of obesity prevalence from the 1990s-2010s in HSE and NHIS would have led to a 0.6 percentage-point increase in population psychological distress. CONCLUSIONS: Mendelian randomization studies suggest that obesity is a causal risk factor for elevated risk of depression. The increasing obesity rates may have modestly increased the prevalence of depressive symptoms in the general population. Mendelian randomization relies on methodological assumptions that may not always hold, so other quasi-experimental methods are needed to confirm the current conclusions.

Predicting work disability among people with chronic conditions: a prospective cohort study.

Few risk prediction scores are available to identify people at increased risk of work disability, particularly for those with an existing morbidity. We examined the predictive performance of disability risk scores for employees with chronic disease. We used prospective data from 88,521 employed participants (mean age 43.1) in the Finnish Public Sector Study including people with chronic disorders: musculoskeletal disorder, depression, migraine, respiratory disease, hypertension, cancer, coronary heart disease, diabetes, comorbid depression and cardiometabolic disease. A total of 105 predictors were assessed at baseline. During a mean follow-up of 8.6 years, 6836 (7.7%) participants were granted a disability pension. C-statistics for the 8-item Finnish Institute of Occupational Health (FIOH) risk score, comprising age, self-rated health, number of sickness absences, socioeconomic position, number of chronic illnesses, sleep problems, BMI, and smoking at baseline, exceeded 0.72 for all disease groups and was 0.80 (95% CI 0.80-0.81) for participants with musculoskeletal disorders, 0.83 (0.82-0.84) for those with migraine, and 0.82 (0.81-0.83) for individuals with respiratory disease. Predictive performance was not significantly improved in models with re-estimated coefficients or a new set of predictors. These findings suggest that the 8-item FIOH work disability risk score may serve as a scalable screening tool in identifying individuals with increased risk for work disability.

Associations between specific depressive symptoms and psychosocial functioning in psychotherapy.

BACKGROUND: Psychotherapy for depression aims to reduce symptoms and to improve psychosocial functioning. We examined whether some symptoms are more important than others in the association between depression and functioning over the course of psychotherapy treatment. METHODS: We studied associations between specific symptoms of depression (PHQ-9) and change in social and occupational functioning (SOFAS), both with structural equation models (considering liabilities of depression and each specific symptom) and with logistic regression models (considering the risk for individual patients). The study sample consisted of adult patients (n = 771) from the Finnish Psychotherapy Quality Registry (FPQR) who completed psychotherapy treatment between September 2018 and September 2021. RESULTS: Based on our results of logistic regression analyses and SEM models, the baseline measures of depression symptoms were not associated with changes in functioning. Changes in depressed mood or hopelessness, problems with sleep, feeling tired, and feeling little interest or pleasure were associated with improved functioning during psychotherapy. The strongest evidence for symptom-specific effects was found for the symptom of depressed mood or hopelessness. LIMITATIONS: Due to our naturalistic study design containing only two measurement points, we were unable to study the causal relationship between symptoms and functioning. CONCLUSIONS: Changes in certain symptoms during psychotherapy may affect functioning independently of underlying depression. Knowledge about the dynamics between symptoms and functioning could be used in treatment planning or implementation. Depressed mood or hopelessness appears to have a role in the dynamic relationship between depression and functioning.

Predictive validity of psychosis risk models when applied to adolescent psychiatric patients.

BACKGROUND: Several multivariate algorithms have been developed for predicting psychosis, as attempts to obtain better prognosis prediction than with current clinical high-risk (CHR) criteria. The models have typically been based on samples from specialized clinics. We evaluated the generalizability of 19 prediction models to clinical practice in an unselected adolescent psychiatric sample. METHODS: In total, 153 adolescent psychiatric patients in the Helsinki Prodromal Study underwent an extensive baseline assessment including the SIPS interview and a neurocognitive battery, with 50 participants (33%) fulfilling CHR criteria. The adolescents were followed up for 7 years using comprehensive national registers. Assessed outcomes were (1) any psychotic disorder diagnosis (n = 18, 12%) and (2) first psychiatric hospitalization (n = 25, 16%) as an index of overall deterioration of functioning. RESULTS: Most models improved the overall prediction accuracy over standard CHR criteria (area under the curve estimates ranging between 0.51 and 0.82), although the accuracy was worse than that in the samples used to develop the models, also when applied only to the CHR subsample. The best models for transition to psychosis included the severity of positive symptoms, especially delusions, and negative symptoms. Exploratory models revealed baseline negative symptoms, low functioning, delusions, and sleep problems in combination to be the best predictor of psychiatric hospitalization in the upcoming years. CONCLUSIONS: Including the severity levels of both positive and negative symptomatology proved beneficial in predicting psychosis. Despite these advances, the applicability of extended psychosis-risk models to general psychiatric practice appears limited.

A measure for assessment of beneficial and harmful fortitude: development and initial validation of the Sisu Scale.

Sisu is a Finnish cultural concept that denotes determination and resoluteness in the face of adversity. We propose that sisu will supplement the English-language based research on mental fortitude traits. Sisu has not been the focus of systematic research until very recently. We created a new questionnaire measuring sisu (the Sisu Scale), sought to validate the sisu construct and its sub-factor structure as postulated in a recent qualitative study. We investigated associations of sisu with other measures of mental fortitude and well-being. More generally we aimed to enrichen the cross-cultural understanding of human experience of overcoming adversity across life's challenges. We describe and validate a questionnaire that effectively measures both beneficial and harmful sisu, each comprising three sub-factors. Beneficial sisu was associated with other measures of fortitude, but less with personality dimensions. We also confirmed the existence of an independent harmful sisu factor. Beneficial sisu was associated with higher well-being and lower depressive symptoms, and harmful sisu with lower well-being and higher levels of general stress, work stress and depressive symptoms. Together the two factors were superior compared to pre-existing measures when predicting well-being-related variables. Results suggest that the new Sisu Scale we developed may provide a valuable addition to research on mental fortitude, resilience and their consequences for well-being.

Overweight, obesity, and individual symptoms of depression: A multicohort study with replication in UK Biobank.

OBJECTIVES: Obesity is associated with increased risk of depression, but the extent to which this association is symptom-specific is unknown. We examined the associations of overweight and obesity with individual depressive symptoms. METHODS: We pooled data from 15 population-based cohorts comprising 57,532 individuals aged 18 to 100 years at study entry. Primary analyses were replicated in an independent cohort, the UK Biobank study (n = 122,341, age range 38 to 72). Height and weight were assessed at baseline and body mass index (BMI) was computed. Using validated self-report measures, 24 depressive symptoms were ascertained once in 16 cross-sectional, and twice in 7 prospective cohort studies (mean follow-up 3.2 years). RESULTS: In the pooled analysis of the primary cohorts, 22,045 (38.3 %) participants were overweight (BMI between 25 and 29.9 kg/m2), 12,025 (20.9 %) class I obese (BMI between 30 and 34.9 kg/m2), 7,467 (13.0 %) class II-III obese (BMI ≥ 35 kg/m2); and 7,046 (12.3 %) were classified as depressed. After multivariable adjustment, obesity class I was cross-sectionally associated with 1.11-fold (95 % confidence interval 1.01-1.22), and obesity class II-III with 1.31-fold (1.16-1.49) higher odds of overall depression. In symptom-specific analyses, robust associations were apparent for 4 of the 24 depressive symptoms ('could not get going/lack of energy', 'little interest in doing things', 'feeling bad about yourself, and 'feeling depressed'), with confounder-adjusted odds ratios of having 3 or 4 of these symptoms being 1.32 (1.10-1.57) for individuals with obesity class I, and 1.70 (1.34-2.14) for those with obesity class II-III. Elevated C-reactive protein and 21 obesity-related diseases explained 23 %-31 % of these associations. Symptom-specific associations were confirmed in longitudinal analyses where obesity preceded symptom onset, were stronger in women compared with men, and were replicated in UK Biobank. CONCLUSIONS: Obesity is associated with a distinct set of depressive symptoms. These associations are partially explained by systemic inflammation and obesity-related morbidity. Awareness of this obesity-related symptom profile and its underlying biological correlates may inform better targeted treatments for comorbid obesity and depression.

Association of alcohol use with years lived without major chronic diseases: A multicohort study from the IPD-Work consortium and UK Biobank.

Background: Heavy alcohol consumption increases the risk of several chronic diseases. In this multicohort study, we estimated the number of life-years without major chronic diseases according to different characteristics of alcohol use. Methods: In primary analysis, we pooled individual-level data from up to 129,942 adults across 12 cohort studies with baseline data collection on alcohol consumption, drinking patterns, and history between 1986 and 2005 (the IPD-Work Consortium). Self-reported alcohol consumption was categorised according to UK guidelines - non-drinking (never or former drinkers); moderate consumption (1-14 units); heavy consumption (>14 units per week). We further subdivided moderate and heavy drinkers by binge drinking pattern (alcohol-induced loss of consciousness). In addition, we assessed problem drinking using linked data on hospitalisations due to alcohol abuse or poisoning. Follow-up for chronic diseases for all participants included incident type 2 diabetes, coronary heart disease, stroke, cancer, and respiratory disease (asthma and chronic obstructive pulmonary disease) as ascertained via linkage to national morbidity and mortality registries, repeated medical examinations, and/or self-report. We estimated years lived without any of these diseases between 40 and 75 years of age according to sex and characteristics of alcohol use. We repeated the main analyses using data from 427,621 participants in the UK Biobank cohort study. Findings: During 1·73 million person-years at risk, 22,676 participants in IPD-Work cohorts developed at least one chronic condition. From age 40 to 75 years, never-drinkers [men: 29·3 (95%CI 27·9-30·8) years, women 29·8 (29·2-30·4) years)] and moderate drinkers with no binge drinking habit [men 28·7 (28·4-29·0) years, women 29·6 (29·4-29·7) years] had the longest disease-free life span. A much shorter disease-free life span was apparent in participants who experienced alcohol poisoning [men 23·4 (20·9-26·0) years, women 24·0 (21·4-26·5) years] and those with self-reported heavy overall consumption and binge drinking [men: 26·0 (25·3-26·8), women 27·5 (26·4-28·5) years]. The pattern of results for alcohol poisoning and self-reported alcohol consumption was similar in UK Biobank. In IPD-Work and UK Biobank, differences in disease-free years between self-reported moderate drinkers and heavy drinkers were 1·5 years or less. Interpretation: Individuals with alcohol poisonings or heavy self-reported overall consumption combined with a binge drinking habit have a marked 3- to 6-year loss in healthy longevity. Differences in disease-free life between categories of self-reported weekly alcohol consumption were smaller. Funding: Medical Research Council, National Institute on Aging, NordForsk, Academy of Finland, Finnish Work Environment Fund.

Changing associations between socioeconomic status and self-reported discrimination from the 1990s to the 2010s in the United States.

We examined whether prevalence of social class discrimination-and its association with psychological distress-has changed between 1990s and 2010s in the United States. Data were from the original Midlife in the United States (MIDUS) study with data collections in 1995-1996 (n = 2931) and 2004-2005 (n = 1708), and the new MIDUS Refresher sample from 2011 to 2014 (n = 2543). Socioeconomic status (SES) became more strongly associated with self-rated discrimination over time, with individuals with the lowest SES experiencing more discrimination (B = 0.75, p < .001) and those with the highest SES less discrimination (B = 0.36, p < .001) over time: at baseline, the difference in self-rated discrimination between the highest and lowest SES groups was 15.3% versus 10.8% (4.7% point difference). This difference increased to 20.0% versus 7.4% in the last study wave (12.6% point difference). Association between self-reported discrimination and psychological distress strengthened over time, but the associations between socioeconomic indicators and distress did not change. The results suggest that people with low SES had higher risk of encountering unfair and disrespectful treatment in the 2010s compared to the 1990s.

Association between alexithymia and substance use: A systematic review and meta-analysis.

Alexithymia has been associated with substance use, but the magnitude of the association has not been evaluated and sub-group differences, if any, are unknown. The aim of this meta-analysis is to systematically review the association between alexithymia and substance use (alcohol or illicit drugs). We identified studies through a systematic review of PubMed and Web of Science and obtained a total of 52 publications using the Toronto Alexithymia Scale-20 scale. Random effects meta-analysis was used to evaluate the overall and sub-group associations. Of the studies, 50 were cross-sectional and two longitudinal. Alexithymia was associated with any substance use (Cohen's d = 0.62, 95% confidence interval [CI] 0.49-0.76), with little difference between estimates for use of alcohol or illicit drugs. A stronger association was observed for the alexithymia dimension "Difficulty in Identifying Feelings" (d = 0.64, 95% CI = 0.47-0.81) and "Difficulty in Describing Feelings" (d = 0.44, 95% CI = 0.32-0.55) than for "Externally Oriented Thinking" (d = 0.19, 95% CI = 0.09-0.28). The association was stronger in studies with clinical patient populations (d = 0.83, 95% CI = 0.62-1.05) than in those investigating general or student populations, and in studies with a majority of male rather than female participants. These findings suggest a strong overall association between alexithymia and substance use and a very strong association among clinical patient populations. The association may be stronger with the emotion-related dimensions than with the cognition-related dimension of alexithymia. As nearly all the studies were cross-sectional, more longitudinal studies are needed.

Body-mass index and risk of obesity-related complex multimorbidity: an observational multicohort study.

BACKGROUND: The accumulation of disparate diseases in complex multimorbidity makes prevention difficult if each disease is targeted separately. We aimed to examine obesity as a shared risk factor for common diseases, determine associations between obesity-related diseases, and examine the role of obesity in the development of complex multimorbidity (four or more comorbid diseases). METHODS: We did an observational study and used pooled prospective data from two Finnish cohort studies (the Health and Social Support Study and the Finnish Public Sector Study) comprising 114 657 adults aged 16-78 years at study entry (1998-2013). A cohort of 499 357 adults (aged 38-73 years at study entry; 2006-10) from the UK Biobank provided replication in an independent population. BMI and clinical characteristics were assessed at baseline. BMIs were categorised as obesity (≥30·0 kg/m2), overweight (25·0-29·9 kg/m2), healthy weight (18·5-24·9 kg/m2), and underweight (<18·5 kg/m2). Via linkage to national health records, participants were followed-up for death and diseases diagnosed according to the International Classification of Diseases 10th Revision (ICD-10). Hazard ratios (HRs) with 95% CIs and population attributable fractions (PAFs) for associations between BMI and multimorbidity were calculated. FINDINGS: Mean follow-up duration was 12·1 years (SD 3·8) in the Finnish cohorts and 11·8 years (1·7) in the UK Biobank cohort. Obesity was associated with 21 non-overlapping cardiometabolic, digestive, respiratory, neurological, musculoskeletal, and infectious diseases after Bonferroni multiple testing adjustment and ignoring HRs of less than 1·50. Compared with healthy weight, the confounder-adjusted HR for obesity was 2·83 (95% CI 2·74-2·93; PAF 19·9% [95% CI 19·3-20·5]) for developing at least one obesity-related disease, 5·17 (4·84-5·53; 34·4% [33·2-35·5]) for two diseases, and 12·39 (9·26-16·58; 55·2% [50·9-57·5]) for complex multimorbidity. The proportion of participants of healthy weight with complex multimorbidity by age 75 years was observed by age 55 years in participants with obesity, and degree of obesity was associated with complex multimorbidity in a dose-response relationship. Compared with obesity, the association between overweight and complex multimorbidity was more modest (HR 2·67, 95% CI 1·94-3·68; PAF 13·3% [95% CI 9·6-16·3]). The same pattern of results was observed in the UK Biobank cohort. INTERPRETATION: Obesity is associated with diverse, increasing disease burdens, and might represent an important target for multimorbidity prevention that avoids the complexities of multitarget preventive regimens. FUNDING: Wellcome Trust, Medical Research Council, National Institute on Aging.

Poor respiratory health outcomes associated with high illness worry and alexithymia: Eleven-year prospective cohort study among the working-age population.

OBJECTIVE: Poor respiratory health outcomes have been associated with poorer physical health and higher psychological distress. The aim of this study was to investigate whether illness worry, alexithymia or low sense of coherence predict i) the onset of new respiratory disease, ii) respiratory symptoms or iii) lung function among the working-age population, independently of comorbidity mood-, anxiety, or alcohol abuse disorders. METHODS: The study was conducted among a nationally representative sample of the Finnish population (BRIF8901) aged 30-54 years (N = 2310) in 2000-2001 and was followed up in 2011. Individuals with a diagnosed respiratory disease or a severe psychiatric disorder at baseline were excluded. Lung function was measured by a spirometry test and psychiatric disorders were diagnosed using a structured clinical interview. Structured questionnaires were used to measure self-reported respiratory symptoms and diseases, illness worry, alexithymia, and sense of coherence. RESULTS: High illness worry predicted an 11-year incidence of asthma (OR 1.47, 95% CI 1.09-1.99, p = 0.01). Alexithymia predicted shortness of breath (OR 1.32, 95% CI 1.13-1.53, p < 0.01) and 11-year incidence of COPD (OR 2.84, 95% CI 1.37-5.88, p < 0.01), even after several adjustments for physical and mental health. Psychological dispositions did not associate with lung function in 2011. CONCLUSIONS: In the general population, psychological factors that modify health behaviour predicted adverse respiratory health outcomes independently of lung function after 11 years of follow-up. This indicates that considering them part of personalized treatment planning is important for promoting health-related behaviour among the working-age population.

Clinical symptoms of anxiety disorders as predictors of political attitudes: A prospective cohort study.

Conservative political ideologies have been suggested to correlate with elevated sensitivity to threat. However, it is unclear whether the associations between threat sensitivity and political attitudes can be observed with clinical measures of mental health. We examined how anxiety disorders predicted attitudes on several political issues. Participants were 7253 individuals from the 1958 British Birth Cohort study. Symptoms of generalised anxiety disorder, phobia and panic were assessed in a clinical interview at age 44, and opinions about political issues were self-reported by the participants 6 years later. Anxiety symptoms were associated with higher concerns about economic inequality, preservation of the environment, distrust in politics and lower work ethic. No associations were observed with racist or authoritarian attitudes, or support for traditional family values. We also assessed how political attitudes at ages 33 and 42 predicted anxiety disorder symptoms at age 44, revealing a possible bidirectional association between concern for economic inequality and anxiety disorder symptoms. These findings do not support an association between conservative political attitudes and elevated threat sensitivity. Rather, elevated anxiety may increase concerns about social inequality and the environment.

Religiosity, Psychological Distress, and Well-Being: Evaluating Familial Confounding With Multicohort Sibling Data.

Several studies have associated religiosity with better mental health, but these studies have only partially addressed the problem of confounding. The present study pooled data from multiple cohort studies with siblings to examine whether associations between religiosity and mental health are confounded by familial factors (i.e., shared family background and siblings' shared genetics). Data were collected between 1982 and 2017. Mental health was assessed with self-reported psychological distress (including depressive symptoms) and psychological well-being. Religious attendance was associated with lower psychological distress (standard-deviation difference between weekly vs. never attendance, B = -0.14, confidence interval (CI): -0.19, -0.09; n = 24,598 pairs), and this was attenuated by almost half in the sibling analysis (B = -0.08, CI: = -0.13, -0.04). Religious attendance was also related to higher well-being (B = 0.29, CI: = 0.14, 0.45; n = 3,728 pairs), and this estimate remained unchanged in sibling analysis. Results were similar for religiousness. The findings suggest that previous longitudinal studies may have overestimated the association between religiosity and psychological distress, as the sibling estimate was only one-third of the previously reported meta-analytical association (standardized correlation -0.03 vs. -0.08).