Psychosocial factors, health behaviors and risk of cancer incidence: Testing interaction and effect modification in an individual participant data meta-analysis.

Depression, anxiety and other psychosocial factors are hypothesized to be involved in cancer development. We examined whether psychosocial factors interact with or modify the effects of health behaviors, such as smoking and alcohol use, in relation to cancer incidence. Two-stage individual participant data meta-analyses were performed based on 22 cohorts of the PSYchosocial factors and CAncer (PSY-CA) study. We examined nine psychosocial factors (depression diagnosis, depression symptoms, anxiety diagnosis, anxiety symptoms, perceived social support, loss events, general distress, neuroticism, relationship status), seven health behaviors/behavior-related factors (smoking, alcohol use, physical activity, body mass index, sedentary behavior, sleep quality, sleep duration) and seven cancer outcomes (overall cancer, smoking-related, alcohol-related, breast, lung, prostate, colorectal). Effects of the psychosocial factor, health behavior and their product term on cancer incidence were estimated using Cox regression. We pooled cohort-specific estimates using multivariate random-effects meta-analyses. Additive and multiplicative interaction/effect modification was examined. This study involved 437,827 participants, 36,961 incident cancer diagnoses, and 4,749,481 person years of follow-up. Out of 744 combinations of psychosocial factors, health behaviors, and cancer outcomes, we found no evidence of interaction. Effect modification was found for some combinations, but there were no clear patterns for any particular factors or outcomes involved. In this first large study to systematically examine potential interaction and effect modification, we found no evidence for psychosocial factors to interact with or modify health behaviors in relation to cancer incidence. The behavioral risk profile for cancer incidence is similar in people with and without psychosocial stress.

Estimating Additive Interaction in Two-Stage Individual Participant Data Meta-Analysis.

Individual participant data (IPD) meta-analysis provides important opportunities to study interaction and effect modification for which individual studies often lack power. While previous meta-analyses have commonly focused on multiplicative interaction, additive interaction holds greater relevance for public health and may in certain contexts better reflect biological interaction. Methodological literature on interaction in IPD meta-analysis does not cover additive interaction for models including binary or time-to-event outcomes. We aimed to describe how the Relative Excess Risk due to Interaction (RERI) and other measures of additive interaction or effect modification can be validly estimated within two-stage IPD meta-analysis. First, we explain why direct pooling of study-level RERI estimates may lead to invalid results. Next, we propose a three-step procedure to estimate additive interaction: 1) estimate effects of both exposures and their product term on the outcome within each individual study; 2) pool study-specific estimates using multivariate meta-analysis; 3) estimate an overall RERI and 95% confidence interval based on the pooled effect estimates. We illustrate this procedure by investigating interaction between depression and smoking and risk of smoking-related cancers using data from the PSYchosocial factors and Cancer (PSY-CA) consortium. We discuss implications of this procedure, including the application in meta-analysis based on published data.

The mediating role of health behaviors in the association between depression, anxiety and cancer incidence: an individual participant data meta-analysis.

BACKGROUND: Although behavioral mechanisms in the association among depression, anxiety, and cancer are plausible, few studies have empirically studied mediation by health behaviors. We aimed to examine the mediating role of several health behaviors in the associations among depression, anxiety, and the incidence of various cancer types (overall, breast, prostate, lung, colorectal, smoking-related, and alcohol-related cancers). METHODS: Two-stage individual participant data meta-analyses were performed based on 18 cohorts within the Psychosocial Factors and Cancer Incidence consortium that had a measure of depression or anxiety (N = 319 613, cancer incidence = 25 803). Health behaviors included smoking, physical inactivity, alcohol use, body mass index (BMI), sedentary behavior, and sleep duration and quality. In stage one, path-specific regression estimates were obtained in each cohort. In stage two, cohort-specific estimates were pooled using random-effects multivariate meta-analysis, and natural indirect effects (i.e. mediating effects) were calculated as hazard ratios (HRs). RESULTS: Smoking (HRs range 1.04-1.10) and physical inactivity (HRs range 1.01-1.02) significantly mediated the associations among depression, anxiety, and lung cancer. Smoking was also a mediator for smoking-related cancers (HRs range 1.03-1.06). There was mediation by health behaviors, especially smoking, physical inactivity, alcohol use, and a higher BMI, in the associations among depression, anxiety, and overall cancer or other types of cancer, but effects were small (HRs generally below 1.01). CONCLUSIONS: Smoking constitutes a mediating pathway linking depression and anxiety to lung cancer and smoking-related cancers. Our findings underline the importance of smoking cessation interventions for persons with depression or anxiety.

The role of job strain in the relationship between depression and long-term sickness absence: a register-based cohort study.

PURPOSE: Though individuals with depression and those with poor working conditions are more likely to be on long-term sickness absence (LTSA), less is known about how working conditions may modify the associations between depression status and LTSA. This study aims to examine the association between depression and LTSA among Swedish workers with different levels of job strain and its individual components (job demands and job control). METHODS: All Swedish workers 30 - 60 years old (N = 3,065,258) were studied in 2005. At baseline (2005-2010), workers were categorized as: without depression, being prescribed antidepressants, and being in inpatient/outpatient care. Job strain was measured using a Swedish Job Exposure Matrix, and data on LTSA were obtained from 2011 to 2021. The association between depression and LTSA was assessed using Cox proportional-hazards regression stratified by categories of job strain. RESULTS: Compared to workers without depression, workers with depression had higher risk of LTSA across all job strain levels. Depression was associated with the highest hazards of LTSA in active jobs, but a similar population attributable fraction (PAF) was found across categories of job strain, indicating similarities between the different categories. CONCLUSION: There was evidence of a moderating effect of job strain in the relationship between depression and LTSA, but also evidence that this was due to differences in baseline depression prevalence in the different job strain categories. Future research is needed to determine alternative factors which could be relevant for reducing LTSA among those who have already developed depression.

Association between psychosocial working conditions and well-being before retirement: a community-based study.

Psychosocial working conditions have been linked to mental health outcomes, but their association with well-being is poorly studied. We aimed to investigate the association between psychosocial working conditions and well-being before retirement, and to explore the role of gender and leisure activities in the association. From the Swedish National Study on Aging and Care in Kungsholmen, 598 community dwellers aged 60-65 years were included in the cross-sectional study. Lifelong occupational history was obtained through an interview. Job demands and job control in the longest-held occupation were graded with job exposure matrices. Psychosocial working conditions were classified into high strain (high demands, low control), low strain (low demands, high control), passive job (low demands, low control), and active job (high demands, high control). Well-being was assessed with the 10-item version of positive and negative affect schedule, and scored using confirmatory factor analysis. Engagement in leisure activities was categorized as low, moderate, and high. Data were analyzed using linear regression. Both high job control and high job demands were dose-dependently associated with higher well-being. Overall, compared to active jobs, passive jobs were associated with lower well-being (ß -0.19, 95% CI -0.35 to -0.02, P = 0.028). Passive (ß -0.28, 95% CI -0.51 to -0.04, P = 0.020) and high strain (ß -0.31, 95% CI -0.52 to -0.10, P = 0.004) jobs were associated with lower well-being in men, but not in women. The association between passive jobs and well-being was attenuated by high leisure activities, while the association between high strain and well-being was magnified by low leisure activities. In conclusion, negative psychosocial working conditions are associated with poor well-being, especially in men. Leisure activities may modulate the association. Our study highlights that promoting favorable working conditions can be a target to improve well-being among employees and active participation in leisure activities is encouraged to cope with work-related stress for better well-being.

Depression, anxiety, and the risk of cancer: An individual participant data meta-analysis.

BACKGROUND: Depression and anxiety have long been hypothesized to be related to an increased cancer risk. Despite the great amount of research that has been conducted, findings are inconclusive. To provide a stronger basis for addressing the associations between depression, anxiety, and the incidence of various cancer types (overall, breast, lung, prostate, colorectal, alcohol-related, and smoking-related cancers), individual participant data (IPD) meta-analyses were performed within the Psychosocial Factors and Cancer Incidence (PSY-CA) consortium. METHODS: The PSY-CA consortium includes data from 18 cohorts with measures of depression or anxiety (up to N = 319,613; cancer incidences, 25,803; person-years of follow-up, 3,254,714). Both symptoms and a diagnosis of depression and anxiety were examined as predictors of future cancer risk. Two-stage IPD meta-analyses were run, first by using Cox regression models in each cohort (stage 1), and then by aggregating the results in random-effects meta-analyses (stage 2). RESULTS: No associations were found between depression or anxiety and overall, breast, prostate, colorectal, and alcohol-related cancers. Depression and anxiety (symptoms and diagnoses) were associated with the incidence of lung cancer and smoking-related cancers (hazard ratios [HRs], 1.06-1.60). However, these associations were substantially attenuated when additionally adjusting for known risk factors including smoking, alcohol use, and body mass index (HRs, 1.04-1.23). CONCLUSIONS: Depression and anxiety are not related to increased risk for most cancer outcomes, except for lung and smoking-related cancers. This study shows that key covariates are likely to explain the relationship between depression, anxiety, and lung and smoking-related cancers. PREREGISTRATION NUMBER: https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=157677.

Coping with COVID: risk and resilience factors for mental health in a German representative panel study.

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic might affect mental health. Data from population-representative panel surveys with multiple waves including pre-COVID data investigating risk and protective factors are still rare. METHODS: In a stratified random sample of the German household population (n = 6684), we conducted survey-weighted multiple linear regressions to determine the association of various psychological risk and protective factors assessed between 2015 and 2020 with changes in psychological distress [(PD; measured via Patient Health Questionnaire for Depression and Anxiety (PHQ-4)] from pre-pandemic (average of 2016 and 2019) to peri-pandemic (both 2020 and 2021) time points. Control analyses on PD change between two pre-pandemic time points (2016 and 2019) were conducted. Regularized regressions were computed to inform on which factors were statistically most influential in the multicollinear setting. RESULTS: PHQ-4 scores in 2020 (M = 2.45) and 2021 (M = 2.21) were elevated compared to 2019 (M = 1.79). Several risk factors (catastrophizing, neuroticism, and asking for instrumental support) and protective factors (perceived stress recovery, positive reappraisal, and optimism) were identified for the peri-pandemic outcomes. Control analyses revealed that in pre-pandemic times, neuroticism and optimism were predominantly related to PD changes. Regularized regression mostly confirmed the results and highlighted perceived stress recovery as most consistent influential protective factor across peri-pandemic outcomes. CONCLUSIONS: We identified several psychological risk and protective factors related to PD outcomes during the COVID-19 pandemic. A comparison of pre-pandemic data stresses the relevance of longitudinal assessments to potentially reconcile contradictory findings. Implications and suggestions for targeted prevention and intervention programs during highly stressful times such as pandemics are discussed.

The impact of COVID-19 related adversity on the course of mental health during the pandemic and the role of protective factors: a longitudinal study among older adults in The Netherlands.

PURPOSE: Many studies report about risk factors associated with adverse changes in mental health during the COVID-19 pandemic while few studies report about protective and buffering factors, especially in older adults. We present an observational study to assess protective and buffering factors against COVID-19 related adverse mental health changes in older adults. METHODS: 899 older adults (55 +) in the Netherlands were followed from 2018/19 to two pandemic time points (June-October 2020 and March-August 2021). Questionnaires included exposure to pandemic-related adversities ("COVID-19 exposure"), depressive and anxiety symptoms, loneliness, and pre-pandemic functioning. Linear regression analyses estimated main effects of COVID-19 exposure and protective factors on mental health changes; interaction effects were tested to identify buffering factors. RESULTS: Compared to pre-pandemic, anxiety symptoms, depression symptoms and loneliness increased. A higher score on the COVID-19 adversity index was associated with stronger negative mental health changes. Main effects: internet use and high mastery decreased depressive symptoms; a larger network decreased anxiety symptoms; female gender, larger network size and praying decreased loneliness. COVID-19 vaccination buffered against COVID-19 exposure-induced anxiety and loneliness, a partner buffered against COVID-19 exposure induced loneliness. CONCLUSION: Exposure to COVID-19 adversity had a cumulative negative impact on mental health. Improving coping, finding meaning, stimulating existing religious and spiritual resources, network interventions and stimulating internet use may enable older adults to maintain mental health during events with large societal impact, yet these factors appear protective regardless of exposure to specific adversities. COVID-19 vaccination had a positive effect on mental health.

Association of life-course traumatic brain injury with dementia risk: A nationwide twin study.

INTRODUCTION: The impact of life-course traumatic brain injury (TBI) on dementia is unclear. METHODS: Within the Swedish Twin Registry (STR), 35,312 dementia-free twins were followed for up to 18 years. TBI history was identified via medical records. Data were analyzed using generalized estimating equation (GEE) and conditional logistic regression. RESULTS: In multi-adjusted GEE models, the odds ratio (OR, 95% confidence interval [CI]) of dementia was 1.27 (1.03-1.57) for TBI at any age, 1.55 (1.04-2.31) for TBI at 50 to 59 years, and 1.67 (1.12-2.49) for TBI at 60 to 69 years. Cardiometabolic diseases (CMDs) increased dementia risk associated with TBI at age 50 to 69 years. The ORs in GEE and conditional logistic regression did not differ significantly (P = .37). DISCUSSION: TBI, especially between ages 50 and 69 years, is associated with an increased risk of dementia, and this is exacerbated among people with CMDs. Genetic and early-life environmental factors may not account for the TBI-dementia association.

Can health behaviours prolong survival and compress the period of survival with the disability? A population-based cohort study.

BACKGROUND: It remains unclear whether and to what extent health behaviours may prolong survival and compress the period of survival with disability. OBJECTIVE: To identify modifiable health behaviours that are associated with later disability onset and longer disability-free survival. DESIGN: This population-based cohort study used data from the Swedish National Study on Ageing and Care in Kungsholmen (SNAC-K) ranging between 2001 and 2016. SETTING AND SUBJECTS: A total of 3,041 disability-free adults aged ≥60 years were followed up to 15 years. METHODS: Data on health behaviours were collected at baseline. Information on limitations in activities of daily living was obtained at baseline and during the follow-up. Laplace regression was used to model the median age at death and disability occurrence as a function of health behaviours. RESULTS: Never smoking, moderate alcohol drinking, rich social network and high leisure activity were individually related to longer survival by 1-3 years. Participants with high leisure activity lived 1.6 years (95% CI: 0.9-2.3) more without a disability. After combining lifestyle factors, social network, and leisure activities into a 4-level 'health behaviour profile', people with the healthiest behaviour profile lived 2.8 years (95% CI: 1.3-4.2) longer, had disability 3.5 years (95% CI: 1.7-5.3) later and lived 0.7 years (95% CI, 0.4-1.1) more without a disability compared to those with the least healthy behaviours profile. CONCLUSIONS: These findings suggest that health behaviours could prolong the lifespan, and leisure activities may further compress years lived with disability among older adults.

Association of life satisfaction with disability-free survival: role of chronic diseases and healthy lifestyle.

BACKGROUND: this article investigates the association between life satisfaction and disability-free survival, and explores the roles of chronic diseases and healthy lifestyle in this association. METHOD: a cohort of 2,116 functionally independent adults aged ≥60 was followed up to 12 years. At baseline, life satisfaction was assessed with the Life Satisfaction Index A (LSI-A). Disability-free survival was defined as the survival till the first occurrence of either death, dementia or physical disability. Information on lifestyle factors was collected via questionnaire. Chronic diseases were ascertained through clinical examinations at baseline and each follow-up. Data were analysed using Cox proportional hazard regression models and Laplace regression. RESULTS: over follow-up, 1,121 participants died, developed dementia, or became disabled. High LSI-A versus Low LSI-A had a lower risk of death, dementia and physical disability (hazard ratio [HR] 0.79, 95% confidence intervals [CI] 0.67-0.94), and had a longer disability-free period by 1.73 (95% CI 0.18-3.32) years. In mediation analysis, accumulation of chronic diseases mediated 17.8% of the association between LSI-A and disability-free survival. In joint effect analysis, participants with high LSI-A and a favourable lifestyle profile had a HR of 0.53 (95% CI 0.41-0.69) for the composite endpoint, and lived 3.2 (95% CI 1.35-5.11) disability-free years longer than those with low life satisfaction and an unfavourable lifestyle profile. DISCUSSION: high life satisfaction is independently associated with longer disability-free survival. This association is partially mediated by a lower burden of chronic diseases and is reinforced by healthy lifestyle.

Association of life-course depression with the risk of dementia in late life: A nationwide twin study.

INTRODUCTION: Whether depression is a prodromal phase or risk factor for dementia is under debate. We aimed to unveil the nature of depression-dementia association by looking into the time window of depression occurrence. METHODS: Dementia-free twins (n = 41,727) from the Swedish Twin Registry were followed-up for 18 years. Data were analyzed using generalized estimating equation (GEE) for all individuals and conditional logistic regression for co-twin matched pairs. RESULTS: In the GEE model, multi-adjusted odds ratios (ORs; 95% confidence intervals [CIs]) of dementia were 1.46 (1.09-1.95) for mid-life, 2.16 (1.82-2.56) for late-life, 2.24 (1.49-3.36) for mid- to late-life, and 2.65 (1.17-5.98) for lifelong depression. The ORs in conditional logistic regression and in GEE did not differ significantly (P = 0.60). Education ≥8 years attenuated dementia risk associated with mid-life depression. DISCUSSION: Not only late-life depression, but also mid-life depression is associated with dementia. Genetic and early-life environmental factors could not account for this association. Education ≥8 years might buffer the impact of mid-life depression on dementia.

Association of cardiovascular risk burden with risk of dementia and brain pathologies: A population-based cohort study.

INTRODUCTION: The impact of cardiovascular risk burden on brain pathologies remains unclear. We aimed to examine the association of the Framingham General Cardiovascular Risk Score (FGCRS) with dementia risk, and brain pathologies. METHODS: Within the Rush Memory and Aging Project, 1588 dementia-free participants were assessed on FGCRS at baseline and followed up to 21 years. During the follow-up, 621 participants died and underwent autopsies. RESULTS: The multi-adjusted hazard ratios (HRs) (95% confidence intervals [CIs]) of FGCRS were 1.03 (1.00-1.07) for dementia and 1.04 (1.01-1.07) for Alzheimer's disease (AD) dementia. Further, a higher FGCRS was associated with higher gross chronic cerebral infarctions (odds ratio [OR] 1.08, 95% CI 1.02-1.14), cerebral atherosclerosis (OR 1.10, 95% CI 1.03-1.17), and global AD pathology (OR 1.06, 95% CI 1.01-1.12). CONCLUSIONS: A higher FGCRS is associated with an increased risk of dementia and AD dementia. Both vascular and AD pathologies in the brain may underlie this association.

Psychosocial working conditions, trajectories of disability, and the mediating role of cognitive decline and chronic diseases: A population-based cohort study.

BACKGROUND: Unfavorable psychosocial working conditions have been associated with cognitive decline and chronic diseases, both of which may subsequently accelerate functional dependence. This study aimed to investigate the association between job demand-control-support combinations and trajectories of disability in later life and to further explore the role of cognitive decline and the co-occurrence of chronic diseases in mediating this association. METHODS AND FINDINGS: In this cohort study, 2,937 community dwellers aged 60+ years (mean age 73 ± 10.6; 62.9% female) residing in the Kungsholmen District of Stockholm, Sweden, participated in the baseline survey (2001-2004) and were followed up to 12 years. Lifelong occupational history was obtained through a standardized interview; job demands, job control, and social support at work in the longest-held occupation were graded with a psychosocial job-exposure matrix. Job control, demands, and social support were dichotomized using the median values from the matrix, respectively, to further generate demand-control-support combinations. Disability was measured by summing the number of impaired basic and instrumental activities of daily living. Global cognitive function was assessed by Mini-Mental State Examination. Chronic conditions were ascertained by clinical examinations, medical history, and patient clinical records; the total number of chronic diseases was summed. Data were analyzed using linear mixed-effects models and mediation analysis. Age, sex, education, alcohol consumption, smoking, leisure activity engagement, early-life socioeconomic status, occupational characteristic and physical demands, and baseline cognitive function and number of chronic diseases were adjusted for in the analyses. Compared with active jobs (high control/high demands; n = 1,807), high strain (low control/high demands; n = 328), low strain (high control/low demands; n = 495), and passive jobs (low control/low demands; n = 307) were all associated with a faster rate of disability progression (ß = 0.07, 95% CI 0.02-0.13, p = 0.01; ß = 0.10, 95% CI 0.06-0.15, p < 0.001; ß = 0.11, 95% CI 0.05-0.18, p < 0.001). The association between high strain and disability progression was only shown in people with low social support at work (ß = 0.13, 95% CI 0.07-0.19, p < 0.001), but not in those with high social support (ß = 0.004, 95% CI -0.09 to 0.10, p = 0.93). Moreover, we estimated that the association between demand-control status and disability trajectories was mediated 38.5% by cognitive decline and 18.4% by accumulation of chronic diseases during the follow-up period. The limitations of this study include unmeasured confounding, self-reported work experience, and the reliance on a psychosocial job-exposure matrix that does not consider variabilities in individuals' perception on working conditions or job characteristics within occupations. CONCLUSIONS: Our findings suggest that negative psychosocial working conditions during working life may accelerate disability progression in later life. Notably, social support at work may buffer the detrimental effect of high strain on disability progression. Cognitive decline and chronic-disease accumulation, and especially the former, partially mediate the association of psychosocial working conditions with trajectories of disability. Further studies are required to explore more mechanisms that underlie the association between psychosocial working conditions and disability trajectories.

Association Between Speed of Multimorbidity Accumulation in Old Age and Life Experiences: A Cohort Study.

Rapidly accumulating multiple chronic conditions (multimorbidity) during aging are associated with many adverse outcomes. We explored the association between 4 experiences throughout life-childhood socioeconomic circumstances, early-adulthood education, midlife occupational stress, and late-life social network-and the speed of chronic disease accumulation. We followed 2,589 individuals aged ≥60 years from the Swedish National Study on Aging and Care in Kungsholmen for 9 years (2001-2013). Information on life experiences was collected from detailed life-history interviews. Speed of disease accumulation was operationalized as the change in the count of chronic conditions obtained from clinical examinations, medical histories, laboratory data, drug use, and register linkages over 9 years. Linear mixed models were used to analyze the data. Speed of disease accumulation was lower in individuals with more than elementary education (for secondary, ß × time = -0.065, 95% CI: -0.126, -0.004; for university, ß × time = -0.118, 95% CI: -0.185, -0.050); for active occupations compared with high-strain jobs (ß × time = -0.078, 95% CI: -0.138, -0.017); and for richer social networks (for moderate tertile, ß × time = -0.102, 95% CI: -0.149, -0.055; for highest tertile, ß × time = -0.135, 95% CI: -0.182, -0.088). The association between childhood circumstances and speed of disease accumulation was attenuated by later-life experiences. Diverse experiences throughout life might decelerate chronic disease accumulation during aging.

Ca2+ affects the hyphal differentiation to sclerotia formation of Athelia rolfsii.

RNA-Sequencing (RNA-Seq) and transcriptomic analyses have become powerful tools to study the developmental stages of fungal structures scuh as sclerotia. While RNA-Seq experiments have been set up for many important sclerotia- and microsclerotia-forming fungi, it has not been implemented to study Athelia rolfsii, which is one of the earliest fungi used in literature to uncover the roles of reactive oxygen species (ROS) in stimulating sclerotia formation. This study applied RNA-Seq to profile gene expression in four developmental stages of A. rolfsii sclerotia. Surprisingly, gene ontology and expression patterns suggested that most ROS-scavenging genes were not up-regulated in the stages from hyphal differentiation to the initial sclerotia stage. Using antioxidant and oxidant-amended culture assay, the results suggested none of the ascorbic acid, dithiothreitol (DTT), H2O2, or superoxide dismutase inhibitors [diethyldithiocarbamate (DETC), NaN3, and sodium dodecyl sulfate] affected the sclerotia number. Instead, only glutathione reduced the sclerotia number. Because glutathione has also been suggested to facilitate Ca2+ influx, therefore, glutathione culture assays with the combination of CaCl2, Ca2+-chelator egtazic acid, DETC, and H2O2 were tested on A. rolfsii, as well as two other fungi (Sclerotinia sclerotiorum and Macrophomina phaseolina) for comparison. Although the addition of CaCl2 caused sclerotia or microsclerotia reduction for all three fungi, the CaCl2-ROS interaction was only observed for S. sclerotiorum and M. phaseolina, but not A. rolfsi. Collectively, this study not only pointed out a conserved function of Ca2+ in suppressing fungal sclerotia and microsclerotia formation but also highlighted sclerotia formation of A. rolfsii being only sensitive to Ca2+ and independent of ROS stimuli.IMPORTANCEManagement for plant diseases caused by soil-borne fungal pathogens is challenging because many soil-borne fungal pathogens form sclerotia for long-term survival. Advanced understanding of the molecular and cellular mechanisms of sclerotia formation may provide novel insights to prevent these fungal residues in fields. This study discovered that Ca2+ acts as a negative signal cue to suppress sclerotia and microsclerotia formation in three economically important fungal pathogens. Moreover, the southern blight fungus Athelia rolfsii appears to be only regulated by Ca2+ but not reactive oxygen species. Accordingly, A. rolfsii can be a useful system for studying the detailed mechanism of Ca2+, and the applicability of Ca2+ in reducing sclerotia could be further assessed for disease management.

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.

Diagnoses of common mental disorders among social workers in Sweden: A register-based cohort study.

BACKGROUND: Little is known about common mental disorders (CMD) diagnoses among social workers, i.e., depression, anxiety, or stress-related disorders. This study aims to examine the risk of CMD among social workers in comparison to other workers and to further investigate differences between men and women and specific occupational titles. METHODS: This register-based cohort study consists of 3,034,304 persons, of which 26,610 were social workers (0.9 % of all workers), aged 30-64 years, living in Sweden in 2015. The risk of diagnosed CMDs was followed up until 2020. Cox regression models were used to calculate hazard ratios (HR) and 95 % confidence intervals (CI), adjusting for sex, birth country, education, and birth year. RESULTS: The participants were followed up by a total of 16,833,742.9 person-years, with an average follow-up of 5.5 years. Social workers, compared to other workers, were at a higher risk of CMD (HR 1.3, 95 % CI 1.2-1.4) after adjustment. The HR was equal, 1.3, for depression (95 % CI 1.2-1.5) and anxiety or stress-related disorder (95 % CI 1.2-1.4). The association between social work and CMD was stronger among men (HR 1.7, 95 % CI 1.6-1.9) compared to women (HR 1.2, 95 % CI 1.1-1.3). Further, men working as assistance analysts had the highest risk among the occupational categories (HR 2.2, 95 % CI 1.2-3.9). LIMITATIONS: CMD diagnoses only included cases treated in secondary care. CONCLUSIONS: Social workers, especially male social workers, had a higher risk of CMD. This deserves attention for future research and interventions aimed at improving the mental health of social workers.