Estimating risk of loneliness in adulthood using survey-based prediction models: A cohort study.

It is widely accepted that loneliness is associated with health problems, but less is known about the predictors of loneliness. In this study, we constructed a model to predict individual risk of loneliness during adulthood. Data were from the prospective population-based FinHealth cohort study with 3444 participants (mean age 55.5 years, 53.4% women) who responded to a 81-item self-administered questionnaire and reported not to be lonely at baseline in 2017. The outcome was self-reported loneliness at follow-up in 2020. Predictive models were constructed using bootstrap enhanced LASSO regression (bolasso). The C-index from the final model including 11 predictors from the best bolasso -models varied between 0.65 (95% CI 0.61 to 0.70) and 0.71 (95% CI 0.67 to 0.75) the pooled C -index being 0.68 (95% CI 0.61 to 0.75). Although survey-based individualised prediction models for loneliness achieved a reasonable C-index, their predictive value was limited. High detection rates were associated with high false positive rates, while lower false positive rates were associated with low detection rates. These findings suggest that incident loneliness during adulthood. may be difficult to predict with standard survey data.

Healthcare use of young finnish adults with mental disorders - profiles and profile membership determinants.

BACKGROUND: Comprehensive, timely, and integrated primary care services have been proposed as a response to the increased demand for mental health and substance use services especially among young people. However, little is known about the care utilization patterns of young people with mental and substance use disorders. Our aim was to characterize profiles of care use in young Finnish adults with mental or substance use disorders, and the potential factors associated with the service use profiles. METHODS: Primary and specialized care visits of young adults (16-29 years) diagnosed with a psychiatric or a substance use disorder (n = 7714) were retrieved from the national health care register from years 2020 and 2021. K-Means clustering was used to detect different profiles based on the utilization of care services. Multinomial logistic regression was used to analyze the factors associated with different profiles of care use. RESULTS: Five different profiles were identified: low care use (75%), and use of principally primary health care (11%), student health services (9%), psychiatric services (5%), or substance use services (1%). Female gender was associated with membership in the primary health care focused profiles (OR 2.58 and OR 1.99), and patients in the primary health care and student health services profiles were associated with a better continuity of care (OR 1.04 and OR 1.05). Substance use disorders were associated with psychiatric service use (OR: 2.51) and substance use services (OR: 58.91). Living in smaller municipalities was associated with lower service use when comparing to the largest city. CONCLUSIONS: Young adults diagnosed with a psychiatric or a substance use disorder had remarkably different and heterogeneous care patterns. Most of the participants had low care utilization, indicating potential gaps in service use and care needs. Measures should be taken to ensure equal access to and availability of mental health services. The profiles that utilized the most services highlights the importance of integrated services and patient-oriented improvement of treatment.

Psychosocial factors and patient and healthcare delays in large (class T3-T4) oral, oropharyngeal, and laryngeal carcinomas.

BACKGROUND: Psychosocial factors and socioeconomic status have been associated with incidence, survival, and quality of life among patients with head and neck cancer. We investigated the association between different psychosocial factors, socioeconomic status, and patient delays in T3-T4 oral, oropharyngeal, and laryngeal cancer. PATIENTS AND METHODS: We conducted a nationwide prospective questionnaire-based study (n = 203) over a 3-year period. RESULTS: We found no association between psychosocial factors (depression, social isolation, loneliness, and cynical hostility) and patient delay. Depression was three times more common among head and neck cancer patients compared with the general Finnish population. Head and neck cancer patients had lower educational levels and employment status, and were more often current smokers and heavy drinkers. CONCLUSIONS: Although we found no association between patient delay and psychosocial factors, patients diagnosed with a large head and neck cancer appeared to have a lower socioeconomic status and higher risk for developing depression, which should be considered in clinical practice.

Transmission of Mental Disorders in Adolescent Peer Networks.

Importance: Previous research indicates that mental disorders may be transmitted from one individual to another within social networks. However, there is a lack of population-based epidemiologic evidence that pertains to the full range of mental disorders. Objective: To examine whether having classmates with a mental disorder diagnosis in the ninth grade of comprehensive school is associated with later risk of being diagnosed with a mental disorder. Design, Setting, and Participants: In a population-based registry study, data on all Finnish citizens born between January 1, 1985, and December 31, 1997, whose demographic, health, and school information were linked from nationwide registers were included. Cohort members were followed up from August 1 in the year they completed ninth grade (approximately aged 16 years) until a diagnosis of mental disorder, emigration, death, or December 31, 2019, whichever occurred first. Data analysis was performed from May 15, 2023, to February 8, 2024. Exposure: The exposure was 1 or more individuals diagnosed with a mental disorder in the same school class in the ninth grade. Main Outcomes and Measures: Being diagnosed with a mental disorder during follow-up. Results: Among the 713 809 cohort members (median age at the start of follow-up, 16.1 [IQR, 15.9-16.4] years; 50.4% were males), 47 433 had a mental disorder diagnosis by the ninth grade. Of the remaining 666 376 cohort members, 167 227 persons (25.1%) received a mental disorder diagnosis during follow-up (7.3 million person-years). A dose-response association was found, with no significant increase in later risk of 1 diagnosed classmate (HR, 1.01; 95% CI, 1.00-1.02), but a 5% increase with more than 1 diagnosed classmate (HR, 1.05; 95% CI, 1.04-1.06). The risk was not proportional over time but was highest during the first year of follow-up, showing a 9% increase for 1 diagnosed classmate (HR, 1.09; 95% CI, 1.04-1.14), and an 18% increase for more than 1 diagnosed classmate (HR, 1.18; 95% CI, 1.13-1.24). Of the examined mental disorders, the risk was greatest for mood, anxiety, and eating disorders. Increased risk was observed after adjusting for an array of parental, school-level, and area-level confounders. Conclusions and Relevance: The findings of this study suggest that mental disorders might be transmitted within adolescent peer networks. More research is required to elucidate the mechanisms underlying the possible transmission of mental disorders.

Intergenerational continuity of loneliness and potential mechanisms: Young Finns Multigenerational Study.

Evidence on the intergenerational continuity of loneliness and on potential mechanisms that connect loneliness across successive generations is limited. We examined the association between loneliness of (G0) parents (859 mothers and 570 fathers, mean age 74 years) and their children (G1) (433 sons and 558 daughters, mean age 47 years) producing 991 parent-offspring pairs and tested whether these associations were mediated through subjective socioeconomic position, temperament characteristics, cognitive performance, and depressive symptoms. Mean loneliness across parents had an independent effect on their adult children's experienced loneliness (OR = 1.72, 95% CI 1.23-2.42). We also found a robust effect of mothers' (OR = 1.64, 95% CI 1.17-2.29), but not of fathers' loneliness (OR = 1.47, 95% CI 0.96-2.25) on offspring's experienced loneliness in adulthood. The associations were partly mediated by offspring depressive (41-54%) and anxiety (29-31%) symptoms. The current findings emphasize the high interdependence of loneliness within families mediated partly by offspring's mental health problems.

Effect of weight on depression using multiple genetic instruments.

A striking global health development over the past few decades has been the increasing prevalence of overweight and obesity. At the same time, depression has become increasingly common in almost all high-income countries. We investigated whether body weight, measured by body mass index (BMI), has a causal effect on depression symptoms in Finland. Using data drawn from the Cardiovascular Risk in Young Finns Study (N = 1,523, mean age 41.9, SD 5), we used linear regression to establish the relationship between BMI and depression symptoms measured by 21-item Beck's Depression Inventory. To identify causal relationships, we used the Mendelian randomization (MR) method with weighted sums of genetic markers (single nucleotide polymorphisms, SNPs) as instruments for BMI. We employ instruments (polygenic risk scores, PGSs) with varying number of SNPs that are associated with BMI to evaluate the sensitivity of our results to instrument strength. Based on linear regressions, higher BMI was associated with a higher prevalence of depression symptoms among females (b = 0.238, p = 0.000) and males (b = 0.117, p = 0.019). However, the MR results imply that the positive link applies only to females (b = 0.302, p = 0.007) but not to males (b = -0.070, p = 0.520). Poor instrument strength may explain why many previous studies that have utilized genetic instruments have been unable to identify a statistically significant link between BMI and depression-related traits. Although the number of genetic markers in the instrument had only a minor effect on the point estimates, the standard errors were much smaller when more powerful instruments were employed.

Predicting long-term sickness absence with employee questionnaires and administrative records: a prospective cohort study of hospital employees.

OBJECTIVE: This study aimed to compare the utility of risk estimation derived from questionnaires and administrative records in predicting long-term sickness absence among shift workers. METHODS: This prospective cohort study comprised 3197 shift-working hospital employees (mean age 44.5 years, 88.0% women) who responded to a brief 8-item questionnaire on work disability risk factors and were linked to 28 variables on their working hour and workplace characteristics obtained from administrative registries at study baseline. The primary outcome was the first sickness absence lasting ≥90 days during a 4-year follow-up. RESULTS: The C-index of 0.73 [95% confidence interval (CI) 0.70-0.77] for a questionnaire-only based prediction model, 0.71 (95% CI 0.67-0.75) for an administrative records-only model, and 0.79 (95% CI 0.76-0.82) for a model combining variables from both data sources indicated good discriminatory ability. For a 5%-estimated risk as a threshold for positive test results, the detection rates were 76%, 74%, and 75% and the false positive rates were 40%, 45% and 34% for the three models. For a 20%-risk threshold, the corresponding detection rates were 14%, 8%, and 27% and the false positive rates were 2%, 2%, and 4%. To detect one true positive case with these models, the number of false positive cases accompanied varied between 7 and 10 using the 5%-estimated risk, and between 2 and 3 using the 20%-estimated risk cut-off. The pattern of results was similar using 30-day sickness absence as the outcome. CONCLUSIONS: The best predictive performance was reached with a model including both questionnaire responses and administrative records. Prediction was almost as accurate with models using only variables from one of these data sources. Further research is needed to examine the generalizability of these findings.

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).

Exploring the structure and psychometric properties of the Warwick-Edinburgh Mental Well-Being Scale (WEMWBS) in a representative adult population sample.

This article reports the psychometric properties of both full and the abbreviated (Short) Warwick-Edinburgh Mental Well-being Scales (WEMWBS; SWEMWBS) in the Finnish general population. A large cross-sectional dataset (N = 5,335) was collected as part of the nationally representative FinHealth Study in 2017. Exploratory and confirmatory factor analyses of the data evaluated one-, two-, three-, and bi-factorial solutions with a split-half approach. McDonald's omega was used to assess internal consistency and convergent validity was evaluated using four established mental health and well-being scales (BDI-6, GHQ-12, MHI-5, EUROHIS-QOL8). Contrary to previous findings, our results supported a three-factor model of the full scale with separate, yet highly correlated, mental, social, and eudemonic well-being factors. For the SWEMWBS, the bi-factor model showed the best fit, with a strong general mental well-being factor and a weaker specific eudemonic well-being factor. In this sampling context, the social aspect of mental well-being may be considered a separable construct from other mental well-being dimensions and the shorter 7-item version might thus be a preferable option when assessing overall mental well-being.

Psychosocial work characteristics and sleep quality among early career registered nurses: a cross-sectional latent profile analysis.

BACKGROUND: Individual psychosocial work characteristics have been associated with health and well-being of registered nurses. However, it is yet to be determined whether different types of psychosocial work characteristics form patterned profiles and how these profiles are associated with the health and well-being. The purpose of this study was to identify latent psychosocial work characteristic profiles, including procedural, interactional and distributive justice, job demand and job control, and examine whether the profiles are associated with sleep quality among early career registered nurses. METHODS: We conducted a cross-sectional study comprising 632 early career registered nurses. Data were collected between November and December 2018 using an electronic survey with internationally validated measures including the Organizational Justice Scale, the Nurse Stress Index Scale, the Job Content Questionnaire, and the Sleep Problems Questionnaire. Latent profile analysis was used to identify groups with similar psychosocial work characteristic profiles. Multinomial and linear regression analyses were used to examine the association between latent work characteristics profiles and sleep quality. RESULTS: Analysis yielded four profiles. The profiles were named based on the descriptions of classes as high strain/low justice, medium strain/high justice, medium strain/medium justice, and low strain/high justice. The low strain/high justice profile group (p = < 0.001) and the medium strain/high justice profile group (p = 0.002) had statistically significantly better sleep quality compared to the high strain/low justice profile group. CONCLUSIONS: High procedural and interactional justice may alleviate strain in early career registered nurses and protect them against sleep problems. Promoting organizational justice in early career stages seems an efficient way to enhance registered nurses' well-being and sleep quality.

Prediction of violence or threat of violence among employees in social work, healthcare and education: the Finnish Public Sector cohort study.

OBJECTIVES: To develop a risk prediction algorithm for identifying work units with increased risk of violence in the workplace. DESIGN: Prospective cohort study. SETTING: Public sector employees in Finland. PARTICIPANTS: 18 540 nurses, social and youth workers, and teachers from 4276 work units who completed a survey on work characteristics, including prevalence and frequency of workplace violence/threat of violence at baseline in 2018-2019 and at follow-up in 2020-2021. Those who reported daily or weekly exposure to violence or threat of violence daily at baseline were excluded. EXPOSURES: Mean scores of responses to 87 survey items at baseline were calculated for each work unit, and those scores were then assigned to each employee within that work unit. The scores measured sociodemographic characteristics and work characteristics of the work unit. PRIMARY OUTCOME MEASURE: Increase in workplace violence between baseline and follow-up (0=no increase, 1=increase). RESULTS: A total of 7% (323/4487) of the registered nurses, 15% (457/3109) of the practical nurses, 5% of the social and youth workers (162/3442) and 5% of the teachers (360/7502) reported more frequent violence/threat of violence at follow-up than at baseline. The area under the curve values estimating the prediction accuracy of the prediction models were 0.72 for social and youth workers, 0.67 for nurses, and 0.63 for teachers. The risk prediction model for registered nurses included five work unit characteristics associated with more frequent violence at follow-up. The model for practical nurses included six characteristics, the model for social and youth workers seven characteristics and the model for teachers included four characteristics statistically significantly associated with higher likelihood of increased violence. CONCLUSIONS: The generated risk prediction models identified employees working in work units with high likelihood of future workplace violence with reasonable accuracy. These survey-based algorithms can be used to target interventions to prevent workplace violence.

Self-rated work ability as a risk factor for disability retirement.

BACKGROUND: Simple and efficient survey measures to predict staying in or leaving work are needed. We examined the association of single-item self-rated work ability (SRWA) with disability retirement in two large population-based samples and compared the association of SRWA to two other scales, work ability score (WAS) and self-rated health (SRH), used earlier in studies. METHODS: The study population comprised 6034 participants aged 35-58 from the population-based Health 2000 and FinHealth 2017 cohort studies, pooled together. SRWA, WAS and SRH were all classified in three categories: poor, limited and good. A 36-month follow-up for disability retirement via linkage to electronic records was included in the analysis. RESULTS: Of the participants, 195 retired during the follow-up. All three measures strongly predicted disability retirement. Hazard ratio (HR) for poor SRWA (vs. good) was 8.48 [95% confidence interval (CI) 5.41-13.28], WAS 7.99 (95% CI 5.62-11.37) and SRH 5.96 (95% CI 4.17-8.51). HR for limited SRWA (vs. good) was 4.35 (95% CI 3.21-5.91), WAS 3.54 (95% CI 2.49-5.04) and SRH 2.27 (95% CI 1.59-3.23). Taking into account gender, age, education and mental health narrowed the gap between poor and limited vs. good work ability as predictors of disability retirement, but the differences remained clear. CONCLUSIONS: Limited or poor self-rated work ability or health are strong predictors of disability retirement. The SRWA measure is a useful survey-measure of work ability in community-based surveys.

School achievement in adolescence and the risk of mental disorders in early adulthood: a Finnish nationwide register study.

School grades in adolescence have been linked to later psychiatric outcomes, but large-scale nationwide studies across the spectrum of mental disorders are scarce. In the present study, we examined the risk of a wide array of mental disorders in adulthood, as well as the risk of comorbidity, associated with school achievement in adolescence. We used population-based cohort data comprising all individuals born in Finland over the period 1980-2000 (N = 1,070,880) who were followed from age 15 or 16 until a diagnosis of mental disorder, emigration, death, or December 2017, whichever came first. Final grade average from comprehensive school was the exposure, and the first diagnosed mental disorder in a secondary healthcare setting was the outcome. The risks were assessed with Cox proportional hazards models, stratified Cox proportional hazard models within strata of full-siblings, and multinomial regression models. The cumulative incidence of mental disorders was estimated using competing risks regression. Better school achievement was associated with a smaller risk of all subsequent mental disorders and comorbidity, except for eating disorders, where better school achievement was associated with a higher risk. The largest associations were observed between school achievement and substance use disorders. Overall, individuals with school achievement more than two standard deviations below average had an absolute risk of 39.6% of a later mental disorder diagnosis. By contrast, for individuals with school achievement more than two standard deviations above average, the absolute risk of a later mental disorder diagnosis was 15.7%. The results show that the largest mental health burden accumulates among those with the poorest school achievement in adolescence.

Nursing informatics competence profiles and perceptions of health information system usefulness among registered nurses: A latent profile analysis.

AIMS: To identify different nursing informatics competence (NIC) profiles in nurses, examine the factors associated with profile memberships and examine the associations of the derived profiles with the nurses' perception of the usefulness of a health information system (HIS). DESIGN: A cross-sectional study. METHODS: A sample of 3610 registered nurses responded to a nationwide survey in March 2020. A latent profile analysis was performed to identify NIC profiles based on three competence areas: nursing documentation, working in digital environment, and ethics and data protection. A multinomial logistic regression was carried out to examine the associations of demographic and background variables with the profile membership. Linear regression analyses were carried out to examine the association between the profile membership and perceived HIS usefulness. RESULTS: Three NIC profiles were identified and labelled as low, moderate and high competence groups. A younger age, recent graduation year, sufficient orientation and high-rated proficiency as an HIS user were associated with nurses belonging to a high or moderate competence group relative to a low competence group. Competence group membership was associated with perceived HIS usefulness. The high competence group consistently expressed the highest usefulness of the HIS and the low competence group the lowest. CONCLUSION: Tailored training and support should be provided for nurses with different levels of informatics competence, thereby facilitating their ability to respond to increasingly digitalized work. This could contribute to higher usefulness of the HIS in terms of supporting the nurses' work tasks and promoting the quality of care. IMPACT: This was the first study exploring latent profiles of informatics competence in nurses. Insights from this study are useful for nursing management to identify different competence profiles of their employees, provide support and training to meet their needs, and promote the successful use of an HIS.

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.

Socioeconomic position at the age of 30 and the later risk of a mental disorder: a nationwide population-based register study.

BACKGROUND: A study was undertaken to examine the association between multiple indicators of socioeconomic position (SEP) at the age of 30 and the subsequent risk of the most common mental disorders. METHODS: All persons born in Finland between 1966 and 1986 who were alive and living in Finland at the end of the year when they turned 30 were included. Educational attainment, employment status and personal total income were used as the alternative measures of SEP. Cox proportional hazards models were used to examine the association of SEP at the age of 30 with later risk of mental disorders. Additional analyses were conducted using a sibling design to account for otherwise unobserved shared family characteristics. Competing risks models were used to estimate absolute risks. RESULTS: The study population included 1 268 768 persons, 26% of whom were later diagnosed with a mental disorder. Lower SEP at age 30 was consistently associated with a higher risk of being later diagnosed with a mental disorder, even after accounting for shared family characteristics and prior history of a mental disorder. Diagnosis-specific analyses showed that the associations were considerably stronger when substance misuse or schizophrenia spectrum disorders were used as an outcome. Absolute risk analyses showed that, by the age of 52 years, 58% of persons who had low educational attainment at the age of 30 were later diagnosed with a mental disorder. CONCLUSIONS: Poor SEP at the age of 30 is associated with an increased risk of being later diagnosed with a mental disorder.

Association of social isolation and loneliness with risk of incident hospital-treated infections: an analysis of data from the UK Biobank and Finnish Health and Social Support studies.

BACKGROUND: Although loneliness and social isolation have been linked to an increased risk of non-communicable diseases such as cardiovascular disease and dementia, their association with the risk of severe infection is uncertain. We aimed to examine the associations between loneliness and social isolation and the risk of hospital-treated infections using data from two independent cohort studies. METHODS: We assessed the association between loneliness and social isolation and incident hospital-treated infections using data for participants from the UK Biobank study aged 38-73 years at baseline and participants from the nationwide population-based Finnish Health and Social Support (HeSSup) study aged 20-54 years at baseline. For inclusion in the study, participants had to be linked to national health registries, have no history of hospital-treated infections at or before baseline, and have complete data on loneliness or social isolation. Participants with missing data on hospital-treated infections, loneliness, and social isolation were excluded from both cohorts. The outcome was defined as a hospital admission with a primary diagnosis of infection, ascertained via linkage to electronic health records. FINDINGS: After exclusion of 8·6 million participants for not responding or not providing appropriate consent, the UK Biobank cohort consisted of 456 905 participants (249 586 women and 207 319 men). 26 860 (6·2%) of 436 001 participants with available data were reported as being lonely and 40 428 (9·0%) of 448 114 participants with available data were socially isolated. During a median 8·9 years (IQR 8·0-9·6) of follow-up, 51 361 participants were admitted to hospital due to an infectious disease. After adjustment for age, sex, demographic and lifestyle factors, and morbidities, loneliness was associated with an increased risk of a hospital-treated infection (hazard ratio [HR] 1·12 [95% CI 1·07-1·16]), whereas social isolation was not (HR 1·01 [95% CI 0·97-1·04]). Of 64 797 individuals in the HeSSup cohort, 18 468 (11 367 women and 7101 men) were eligible for inclusion. 4466 (24·4%) of 18 296 were lonely and 1776 (9·7%) of 18 376 socially isolated. During a median follow-up of 10·0 years (IQR 10·0-10·1), 814 (4·4%) participants were admitted to hospital for an infectious disease. The HRs for the HeSSup study replicated those in the UK Biobank (multivariable-adjusted HR for loneliness 1·32 [95% CI 1·06-1·64]; 1·08 [0·87-1·35] for social isolation). INTERPRETATION: Loneliness might increase susceptibility to severe infections, although the magnitude of this effect appears modest and residual confounding cannot be excluded. Interventional studies are required before policy recommendations can advance. FUNDING: Academy of Finland, the UK Medical Research Council, and Wellcome Trust UK.

Association between depression and the likelihood of having children: a nationwide register study in Finland.

BACKGROUND: Depression may be associated with a lower likelihood of having children, but the findings are inconsistent. Previous population-based studies on this topic are limited. OBJECTIVE: We examined associations between depression and the likelihood of having children, the number of children, and the parental age at first birth. We also evaluated whether these associations differ for people with low, middle, and high educational levels. STUDY DESIGN: We conducted a nationwide register cohort study including all individuals born in Finland from 1960 to 1980 (n=1,408,951). Depression diagnoses were identified from the Care Register for Health Care (containing records of inpatient hospital episodes for the period 1969 to 2017 and of specialist outpatient visits for the period 1996 to 2017). The main outcomes-having biological children, the number of biological children, and the parental age at first birth-were identified from the Population Register of Statistics Finland and were defined either in the last year of the follow-up in 2017 or the last year alive or living in Finland. The association between depression and the likelihood of having children was examined using a logistic regression analysis; the association between depression and the number of children was evaluated using Poisson regression analyses, and the association between depression and the age at first birth was evaluated using a linear regression analysis. All analyses were conducted separately for men and women. RESULTS: For both men and women, secondary care-treated depression was associated with a lower likelihood of having children (odds ratio, 0.66; 95% confidence interval, 0.64-0.67 for men; odds ratio, 0.84; 95% confidence interval, 0.82-0.85 for women) and with having fewer children (incidence rate ratio, 0.86; 95% confidence interval, 0.86-0.87 for men; incidence rate ratio, 0.96; 95% confidence interval, 0.96-0.96 for women). Depression was associated with a slightly lower parental age at first birth (33.1 vs 34.0; P<.001 for men; 31.3 vs 32.1; P<.001 for women). Dose-response associations between the severity of depression and a decreased likelihood of having children, as well as having fewer children, were observed. Earlier onset of depression was related to a lower likelihood of having children and to having fewer children. Among men and women in middle- and high-level educational groups, depression was associated with a lower likelihood of having children and with having fewer children. Among men with a low level of education, no associations were observed. Among women with a low level of education, depression was associated with a higher likelihood of having children and with having more children. CONCLUSION: Both men and women with secondary care-treated depression have a lower likelihood of having children and have fewer children. Our findings suggest that depression may be one of the factors that contribute to the likelihood of having children, which should be addressed by policy makers.

Prediction of bullying at work: A data-driven analysis of the Finnish public sector cohort study.

AIM: To determine the extent to which change in (i.e., start and end of) workplace bullying can be predicted by employee responses to standard workplace surveys. METHODS: Responses to an 87-item survey from 48,537 Finnish public sector employees at T1 (2017-2018) and T2 (2019-2020) were analyzed with least-absolute-shrinkage-and-selection-operator (LASSO) regression. The predictors were modelled both at the individual- and the work unit level. Outcomes included both the start and the end of bullying. Predictive performance was evaluated with C-indices and density plots. RESULTS: The model with best predictive ability predicted the start of bullying with individual-level predictors, had a C-index of 0.68 and included 25 variables, of which 6 remained in a more parsimonious model: discrimination at work unit, unreasonably high workload, threat that some work tasks will be terminated, working in a work unit where everyone did not feel they are understood and accepted, having a supervisor who was not highly trusted, and a shorter time in current position. Other models performed even worse, either from the point of view of predictive performance, or practical useability. DISCUSSION: While many bivariate associations between socioeconomic characteristics, work characteristics, leadership, team climate, and job satisfaction were observed, reliable individualized detection of individuals at risk of becoming bullied at workplace was not successful. The predictive performance of the developed risk scores was suboptimal, and we do not recommend their use as an individual-level risk prediction tool. However, they might be useful tool to inform decision-making when planning the contents of interventions to prevent bullying at an organizational level.

The mediating effect of psychosocial factors in the relationship between self-organizing teams and employee wellbeing: A cross-sectional observational study.

BACKGROUND: Several benefits of working in a self-organizing team, such as higher job satisfaction and better engagement to work have been demonstrated in previous studies. OBJECTIVE: To examine whether those employees working in a self-organizing team have higher job satisfaction and lower turnover intentions compared to those in non-self-organized teams. Further, to test whether psychosocial factors defined by the Job Demand-Control model would function as mediators. DESIGN: A cross-sectional survey study. SETTING(S): Home care and assisted living facilities (with 24-h assistance). PARTICIPANTS: Licensed practical nurses (N = 377), registered nurses, therapists and managers (N = 183), and other employees (N = 31) in services for older people. METHODS: A survey for employees working in services for older people and who were either in the self-organized teams or in the non-self-organized teams. Data was analyzed using linear regression and mediation analyses. RESULTS: Those employees who worked in a self-organizing team were more satisfied with their job and had lower turnover intentions compared to those in a non-self-organizing team (mean [SD] 3.9 [1.0] vs. 3.7 [1.0], p = 0.006 and 2.2 [1.2] vs. 2.5 [1.3], p = 0.006, respectively). Moreover, job demands and job strain partially mediated the effect of self-organizing teamwork on job satisfaction (Average causal mediation effect [95%CI] 0.09 [0.02-0.15] and 0.10 [0.03-0.18], respectively), as well as on turnover intentions (Average causal mediation effect [95%CI] -0.08 [-0.15 to -0.01] and -0.20 [-0.18 to -0.03], respectively). CONCLUSIONS: In the context of older people care services, working in self-organizing teams may enhance employee wellbeing by lowering job demands and job strain, but not by improving job control. Based on the findings of this study, self-organization seems beneficial, however, it requires real autonomy for the teams and team building. TWEETABLE ABSTRACT: Self-organizing teamwork increases job satisfaction and decreases turnover intentions via lower job demands and strain in older people care.