Job loss and psychological distress during the COVID-19 pandemic: a national prospective cohort study.

BACKGROUND: The COVID-19 pandemic caused substantial increases in unemployment; however, the association between these job losses and psychological distress is not well documented. Our study reports on this association from a cohort study, with a particular focus on educational differences in both the likelihood of job loss and its potential implications for mental health. METHODS: Utilizing data from a large prospective cohort study of parents in Norway (n = 58,982), we examined changes in psychological distress within four groups of respondents: those who during the first wave of COVID-19 had (i) no change in their employment situation, (ii) worked from home, (iii) been furloughed, or (iv) lost their job. RESULTS: Psychological distress increased in all groups. In z-scores relative to pre-pandemic levels, the increases were (i) 0.47 [95%-CI: 0.45-0.49] among respondents with no change in their employment situation, (ii) 0.51 [95%-CI: 0.49-0.53] among respondents who worked from home, (iii) 0.95 [95%-CI:0.91-0.99] among those furloughed, and (iv) 1.38 [95%-CI: 1.16-1.59] among those who permanently lost their job, corresponding to increases of 89%, 95%, 170%, and 185%, respectively. While respondents without university education had a 2 to 3 times higher risk of job loss, the negative impact of job loss on psychological distress was similar across educational levels. CONCLUSIONS: Participants exposed to job loss during the pandemic experienced a stronger increase in symptoms of depression or anxiety compared to those who remained employed. Although higher education lowered the risk of losing work, it did not substantially diminish the impact on mental health from losing work.

Mental health benefits of cohabitation and marriage: A longitudinal analysis of Norwegian register data.

The aim is to examine how mental health is affected by cohabitation and marriage. Individual fixed-effects models are estimated from Norwegian register data containing information about consultations with a general practitioner because of mental health conditions in 2006-19. Mental health, as indicated by annual number of consultations, improves over several years before cohabitation. For those marrying their cohabiting partner, there is a weak further reduction in consultations until the wedding, but no decline afterwards. In other words, formalization of the union does not seem to confer additional mental health benefits. However, marriage may be considered a marker of favourable earlier development in mental health. In contrast, there is further improvement after direct marriage, as well as stronger improvement over the years just preceding direct marriage. Patterns are quite similar for women and men. Overall, the results suggest that the mental health benefits of cohabitation and marriage are similar.Supplementary material for this article is available at: https://dx.doi.org/10.1080/00324728.2022.2063933. Note: numbers in brackets refer to supplementary notes that can be found at the end of the supplementary material.

Patterns and correlates of old-age social exclusion in the Balkan states.

Social exclusion (SE), or the separation of individuals and groups from mainstream society, is associated with poor health and wellbeing, yet a substantial number of older people are socially excluded. There is increasing agreement that SE is multidimensional, comprising among others social relations, material resources, and/or civic participation. However, measuring SE is still challenging as exclusion may occur in more than one dimension, whereas its sum does not reflect the content of SE. To account for these challenges, this study provides a typology of SE and describes how SE types differ from each other in terms of severity and risk factors. We concentrate on Balkan states, which are among the European countries with the highest prevalence of SE. Data come from the European Quality of Life Survey (N = 3030, age 50 +). Latent Class Analysis revealed four SE types: low SE risk (50%), material exclusion (23%), material and social exclusion (4%), and multidimensional exclusion (23%). A higher number of dimensions from which a person is excluded are associated with more severe outcomes. Multinomial regression further revealed that lower levels of education, lower subjective health, and lower social trust increase the risks of any SE type. Younger age, unemployment, and not having a partner are associated with specific SE types. This study is in line with the limited evidence that different types of SE exist. Policies designed to reduce SE should take account of the different SE types and specific associated risk factors in order to enhance the impact of interventions to reduce social exclusion.

Longitudinal evidence on the development of socioeconomic inequalities in mental health due to the COVID-19 pandemic in Norway.

The economic and health consequences of the COVID-19 pandemic are unequally distributed. A growing literature finds evidence that those with low socioeconomic status have carried a greater burden in terms of both unemployment and infection risk. Against this background, it is natural to also expect increasing socioeconomic inequalities in mental health. We report from a population-based longitudinal study, assessing the mental health of more than 100,000 Norwegian adults during a period of more than 20 years, and into the COVID-19 pandemic. We find substantial, and equally high, increases in depressive symptoms across socioeconomic status. In addition, we show that the increase was particularly strong among women and those with lower levels of depressive symptoms prior to COVID-19.

The educational burden of disease: a cohort study.

BACKGROUND: Students with health disorders might be at risk of disengaging from education, which can reinforce socioeconomic inequalities in health. We aimed to evaluate the associations between 176 diseases and injuries and later school performance in Norwegian adolescents and to estimate the importance of each disorder using a novel measure for the educational burden of disease (EBoD). METHODS: We used diagnostic information from government-funded health services for all Norwegian inhabitants who were born between Jan 1, 1995, and Dec 31, 2002, were registered as living in Norway at age 11-16 years, and were participating in compulsory education. School performance was assessed as grade point average at the end of compulsory education at age 16 years. We used a linear regression of school performance on disease in a fixed-effects sibling comparison model (113 411 families). The association (regression coefficients) between disease and school performance was multiplied by disease prevalence to estimate the proportional EBoD among 467 412 individuals participating in compulsory education. FINDINGS: Overall, although most diseases were not meaningfully associated with grade point average (regression coefficients close to 0), some were strongly associated (eg, intellectual disability regression coefficients -1·2 for boys and -1·3 for girls). The total educational disease burden was slightly higher for girls (53·5%) than for boys (46·5%). Mental health disorders were associated with the largest educational burden among adolescents in Norway (total burden 44·6%; boys 24·6% vs girls 20·0%), of which hyperkinetic disorder contributed to 22·1% of the total burden (boys 14·6% vs girls 7·5%). Among somatic diseases, those with unknown causes and possibly mental causes were associated with the largest educational burden. INTERPRETATION: The EBoD concept could provide a simple metric to guide researchers and policy makers. Because mental health disorders form a large component of the educational burden, investment in mental health might be particularly important for improving educational outcomes in adolescents. FUNDING: The Research Council of Norway.

Spousal Loss and Change in Cognitive Functioning: An Examination of Temporal Patterns and Gender Differences.

OBJECTIVES: The study investigates whether the disadvantaged position of men in the adverse consequences of widowhood for health and mortality also exists for changes in cognitive health. METHODS: We used data of up to 1,269 men and women aged 65 years and older who participated in the Longitudinal Aging Study Amsterdam in 3-yearly assessments between 1992 and 2012 (5,123 person-observations). All were married and without cognitive impairment (Mini-Mental State Examination ≥ 24) at baseline and up to 419 lost their spouse. In fixed effects regression models, the effect of spousal loss on change in four domains of cognitive functioning was estimated independently of age-related cognitive change. RESULTS: For women, a robust temporary decrease was found in the second year after spousal loss in the reasoning domain, but not in global cognitive functioning, processing speed, or memory. No robust effects were found for men. DISCUSSION: Considering that only one cognitive domain was affected and effects were temporary, cognitive functioning seems rather robust to the experience of spousal loss. Despite men having often been reported to be in a disadvantaged position in other health domains, our analyses indicate no such pattern for cognitive functioning.

Cognitive functioning among Dutch older adults: Do neighborhood socioeconomic status and urbanity matter?

Positive associations of neighborhood socioeconomic characteristics and older adults' cognitive functioning have been demonstrated in previous studies, but overall results have been mixed and evidence from European countries and particularly the Netherlands is scarce. We investigated the effects of socioeconomic status (SES) and urbanity of neighborhoods on four domains of cognitive functioning in a sample of 985 Dutch older adults aged 65-88 years from the Longitudinal Aging Study Amsterdam. Besides cross-sectional level differences in general cognitive functioning, processing speed, problem solving and memory, we examined cognitive decline over a period of six years. Growth models in a multilevel framework were used to simultaneously assess levels and decline of cognitive functioning. In models not adjusting for individual SES, we found some evidence of higher levels of cognitive functioning in neighborhoods with a higher SES. In the same models, urbanity generally showed positive or inversely U-shaped associations with levels of cognitive functioning. Overall, effects of neighborhood urbanity remained significant when adjusting for individual SES. In contrast, level differences by neighborhood SES were largely explained by the respondents' individual SES. This suggests that neighborhood SES does not influence levels of cognitive functioning beyond the fact that individuals with a similar SES tend to self-select into neighborhoods with a corresponding SES. No evidence of systematically faster decline in neighborhoods with lower SES or lower degrees of urbanity was found. The findings suggest that neighborhood SES has no independent effect on older adults cognitive functioning in the Netherlands. Furthermore, the study reveals that neighborhood urbanity should be considered a determinant of cognitive functioning. This finding is in line with theoretical approaches that assume beneficial effects of exposure to complex environments on cognitive functioning. We encourage further investigations into the effect of urbanity in other contexts before drawing firm conclusions.