Inequalities In Psychological Distress Research Articles

Socioeconomic deprivation, health and healthcare utilisation among millennials

This study estimates and decomposes components of different measures of inequality in health and healthcare use among millennial adolescents, a sizeable cohort of individuals at a critical stage of life. Administrative data from the UK Hospital Episode Statistics are linked to Next Steps, a survey collecting information about millennials born between 1989 and 1990, providing a uniquely comprehensive source of health and socioeconomic variables. Socioeconomic inequalities in psychological distress, long-term illness and the use of emergency and outpatient hospital care are measured using a corrected concentration index. Shapley-Shorrocks decomposition techniques are employed to measure the relative contributions of childhood socioeconomic circumstances to adolescents’ health and healthcare inequality of opportunity. Results show that income-related deprivation contributes to significant inequalities in mental and physical health among adolescents aged between 15 and 17 years old. There are also pro-rich inequalities in the use of specific outpatient hospital services (e.g., orthodontic and mental healthcare), while pro-poor disparities are found in the use of emergency care services. Regional and parental circumstances are leading factors in influencing inequality of opportunity in the use of hospital care among adolescents. These findings shed light on the main drivers of health inequalities during an important stage of human development and have potentially important implications on human capital formation across the life-cycle.

Trends in social inequality and how mental wellbeing vary and covary among Norwegian adolescents and their families: the Young-HUNT Study.

The study had two aims: first, to investigate trends in socioeconomic inequalities in psychological distress and loneliness among Norwegian adolescents, and second, to study variation and covariation of psychological distress and loneliness within adolescents and between siblings within families. Multivariate mixed models were used to investigate trends in socioeconomic inequality in psychological distress and loneliness using three separate cohorts of Norwegian adolescents from the Young-HUNT study conducted in 1995-1997 (Young-HUNT1, n = 8980), 2006-2008 (Young-HUNT3, n = 8199) and 2017-2019 (Young-HUNT4, n = 8066). Register data on parental education level was used as a marker of socioeconomic position (SEP), and a unique family number was used to identify adolescents belonging to the same family. A three-level multivariate mixed model was created, consisting of the outcomes at level 1, adolescents at level 2 and families at level 3. No statistically significant difference in scores on loneliness and psychological distress was observed between low and high parental education level in Young-HUNT1, whereas in Young-HUNT4, low parental education level was associated with a higher score on both psychological distress (β = 0.09; 95% confidence interval (CI), 0.03-0.14) and loneliness (β = 0.12; 95% CI 0.07-0.17). Analyses of covariation between psychological distress and loneliness showed that they were correlated within adolescents and strongly correlated within families across all timepoints. Increasing socioeconomic inequalities in psychological distress and loneliness among Norwegian adolescents is worrisome. Further, the family seems to be an important arena for potential prevention of psychological distress and loneliness among adolescents, regardless of parental education level.

Social inequality and change in psychological distress during the Covid-19 pandemic in Norway

Abstract Background Emerging research findings suggest that the Covid-19 pandemic may have affected various social groups differently. Using follow-up health data from Norway, the aim of this study was to investigate whether change in psychological distress in adolescents during the Covid-19 pandemic differed across socioeconomic position (SEP). Methods Data consisted of 1254 Norwegian adolescents who participated in Young-HUNT4 (2017-19) and Young-HUNT COVID (spring 2021). Psychological distress (PD) was assessed by the Symptom Checklist-10, using a cut-off point of ≥ 1.85 to identify adolescents with high PD. Based on the adolescents PD score prior to and during the Covid-19 pandemic, four groups were identified: persistent low PD, improved PD, worsened PD, and persistent high PD. Adolescents reported their parents’ education level which was used as an indicator for SEP. SEP was dichotomized separating low and high SEP, where having at least one parent with a higher education was defined as high SEP. Multinomial logistic regression models were used to investigate if the likelihood of the outcome groups varied across SEP, adjusted for age and sex. Results Compared to the persistent low PD group, no statistically significant difference was found between low and high SEP in the improved PD and worsened PD group (RR 1.33 95% CI 0.77 - 2.31, RR 1.22 95% CI 0.82 - 1.81, respectively). However, adolescents of low SEP had a higher likelihood to be in the persistent high PD group compared with the high SEP group (RR 1.93 95% CI 1.30 - 2.87). Conclusions These preliminary findings suggest that the pandemic may not have led to greater social inequality in mental health among Norwegian adolescents. However, the results showed that social inequality that existed prior to the pandemic has persisted, as adolescents of lower SEP had a higher likelihood of reporting high PD that persisted from prior to and throughout the Covid-19 pandemic. Key messages • Social inequality in psychological distress among Norwegian adolescents has persisted prior to and during the Covid-19 pandemic. • The Covid-19 pandemic does not seem to have increased existing social inequalities in psychological distress among Norwegian adolescents.

Inequalities in psychological distress before and during the COVID-19 pandemic among UK adults

Abstract Background Evidence about how population mental health has evolved from before and over the COVID-19 pandemic remains mixed, with impacts on mental health inequalities being unclear. We investigated changes in mental health and sociodemographic inequalities from before and across the first year of the pandemic. Methods Data from 11 UK longitudinal population-based studies with pre-pandemic measures of psychological distress were analysed, estimates pooled, and stratified by age, sex, ethnicity, country and lone household status. Trends in the prevalence of poor mental health were assessed before the pandemic (TP0) and across the pandemic at three time periods (initial lockdown (TP1), easing of restrictions (TP2), and a subsequent lockdown (TP3)). Results In total, 49,993 adult participants were analysed across the 11 cohort studies. There was an overall worsening in mental health from pre-pandemic scores across all three pandemic timepoints, (TP1 Standardised Mean Difference: 0.15 (95% CI: 0.06 - 0.25); TP2 SMD: 0.18 (0.09 - 0.27); TP3 SMD: 0.21 (0.10 - 0.32)) with no evidence of improvement during the period of eased lockdown restrictions in summer 2020. Changes from pre-pandemic psychological distress were higher in females during the pandemic (TP3 SMD: 0.23 (0.11 - 0.35)), amongst those with degree-level education (TP3 SMD: 0.26 (0.14 - 0.38)), and adults aged 25-44 years. We did not find evidence of changes in distress differing by ethnicity, lone household status or UK nation. Conclusions The substantial deterioration in mental health seen in the UK during the first lockdown did not reverse when lockdown lifted and a sustained worsening was observed across the pandemic. Mental health declines have been unequal across the population and these results have implications for policy, including the need for specific investment for support for those most affected to mitigate the effects of the pandemic and measures to reduce inequalities within these specific groups. Key messages • A sustained deterioration in mental health was observed from before the start of the COVID-19 pandemic, and did not recover when social restrictions were eased. • Deterioration in mental health varied by sociodemographic factors, namely age, sex, and education, and highlights a need for improved mental health care provision to minimise widening inequalities.

Time trend analysis of social inequalities in psychological distress among young adults before and during the pandemic: evidence from the UK Household Longitudinal Study COVID-19 waves

BackgroundDespite concerns about mental health problems among those aged 16–24 in England, which social groups have been most at risk, both over the past decade and during the COVID-19 pandemic,...

Impact of COVID-19 Pandemic Lockdown on Mental Well-Being of Norwegian Adolescents During the First Wave-Socioeconomic Position and Gender Differences.

Background: The lockdowns associated with the COVID-19 pandemic has been called a crisis in mental health, and adolescents may have been among the most affected. Comparing the first period of societal lockdown in spring 2020 to periods going back to 2014 using a rich cross-sectional dataset based on repeated surveys, we explore the potential changes in self-reported mental well-being across sociodemographic groups among Norway's adolescents.Methods: Norway closed schools and implemented strict restrictions in March 2020; an electronic questionnaire survey was distributed to lower secondary school students in Trøndelag county (N = 2,443) in May 2020. Results were compared with similar surveys conducted annually in the same county dating back to 2014. Logistic regression models were applied to investigate potential changes in depressive symptoms, loneliness, and quality of life and life satisfaction, and to detect possible differences in the impact of lockdown between the genders and socioeconomic groups.Results: The prevalence of boys and girls reporting high quality of life (43–34%; 23–16%) and life satisfaction (91–80%; 82–69%) decreased significantly compared to the pre-pandemic. For girls only, lockdown was associated with higher odds for reporting high depressive symptoms. As expected, the least privileged socioeconomic groups showed the greatest psychological distress. However, our trend analyses provided no evidence that the socioeconomic inequalities in psychological distress (according to prevalence of high depressive symptoms or loneliness) changed substantial in any direction during the first wave of the pandemic [between the pre-pandemic and inter-pandemic periods].Conclusion: Adolescents are vulnerable, and interventions should provide them with mental health support during crises such as societal lockdown. In particular, the social and health policy, public health, and further research should target these least privileged groups.

Socioeconomic inequalities in psychological distress and suicidal behaviours among Indigenous peoples living off-reserve in Canada.

Indigenous peoples in Canada have high rates of psychological distress and suicide. We sought to assess the socioeconomic inequalities in psychological distress and suicidal behaviours, and the factors that explain them within Indigenous peoples living off-reserve. Using the nationally representative 2012 Aboriginal Peoples Survey collected from Indigenous adults living off-reserve in Canada, we measured income-related inequalities in psychological distress (measured on the 10-item Kessler Psychological Distress Scale) and suicidal behaviours (suicidal ideation and suicide attempt) and identified factors contributing to these inequalities using the concentration index (C) approach. Among 14 410 individuals representing 600 750 Indigenous adults (aged ≥ 18 yr) living off-reserve in Canada, the mean score of psychological distress was 16.1; 19.4% reported lifetime suicidal ideation and 2.2% reported a lifetime suicide attempt. Women had higher psychological distress scores (mean score 16.7 v. 15.2, p < 0.001), and prevalence of suicidal ideation (21.9% v. 16.1%, p < 0.001) and suicide attempts (2.3% v. 2.0%, p = 0.002) than men. Poorer individuals disproportionately experienced higher psychological distress (C = -0.054, 95% confidence interval [CI] -0.057 to -0.050), suicidal ideation (C n = -0.218, 95% CI -0.242 to -0.194) and suicide attempts (C n = -0.327, 95% CI -0.391 to -0.263). Food insecurity and income, respectively, accounted for 40.2% and 13.7% of the psychological distress, 26.7% and 18.2% of the suicidal ideation and 13.4% and 7.8% of the suicide attempts concentrated among low-income Indigenous peoples. Substantial income-related inequalities in psychological distress and suicidal behaviours exist among Indigenous peoples living off-reserve in Canada. Policies designed to address major contributing factors such as food insecurity and income may help reduce these inequalities.

Methods for analytic intercategorical intersectionality in quantitative research: Discrimination as a mediator of health inequalities

RationaleIntersectionality as a theoretical framework has gained prominence in qualitative research on social inequity. Intercategorical quantitative applications have focused primarily on describing health or social inequalities across intersectional groups, coded using cross-classified categories or interaction terms. This descriptive intersectionality omits consideration of the mediating processes (e.g., discrimination) through which intersectional positions impact outcome inequalities, which offer opportunities for intervention. ObjectiveWe argue for the importance of a quantitative analytic intersectionality. We identify methodological challenges and potential solutions in structuring studies to allow for both intersectional heterogeneity in outcomes and in the ways that processes such as discrimination may cause these outcomes for those at different intersections. MethodTo incorporate both mediation and exposure-mediator interaction, we use VanderWeele's three-way decomposition methodology, adapt the interpretation for application to analytic intersectionality studies, and present a step-by-step analytic approach. Using online panel data collected from Canada and the United States in 2016 (N = 2542), we illustrate this approach with a statistical analysis of whether and to what extent observed inequalities in psychological distress across intersections of ethnoracial group and sexual or gender minority (SGM) status may be explained by past-year experiences of day-to-day discrimination, assessed using the Intersectional Discrimination Index (InDI). Results and conclusionsWe describe actual and adjusted intersectional inequalities in psychological distress and decompose them to identify three component effects for each of 11 intersectional comparison groups (e.g., Indigenous SGM), versus the reference intersectional group that experienced the lowest levels of discrimination (white non-SGM). These reflect the expected inequality in outcome: 1) due to membership in the more discriminated-against group, if its members had experienced the same lower levels of discrimination as the reference intersection; 2) due to unequal levels of discrimination; and 3), due to unequal effects of discrimination. We present considerations for use and interpretation of these methods.

Ethnic Inequalities in Psychological Distress: A Population Data Linkage Study on the Pacific Island of Gu\xe5h\xe5n/Guam

Psychological distress and mental illness has been found to be elevated in migrant groups living in sovereign countries, as well as for indigenous people living under colonial or administrative rule. The north Pacific island of Guam is unusual in its ethnic composition as it has no majority ethnic group, has a large indigenous population and remains a territory of the U.S. This study aimed to identify ethnic differences in self-reported psychological distress between the main ethnic groups on Guam. The study uses a cross sectional design with data linkage methodology, drawing on the Guam Census and the Behavioral Risk Factor Surveillance System health survey for Guam. The results showed that the native Chamorro population had worse self-reported psychological distress (defined as a ‘mental health condition or emotional problem’) than White/Caucasians (OR 2.09, 95% CI 1.52–2.87), particularly for severe distress (OR 3.61, 95% CI 1.33–2.77). This relationship persisted even after adjusting for a wide range of socio-demographic and economic factors (OR 2.58, 95% CI 1.15–5.76). Other Pacific Islanders also had higher psychological distress compared to White/Caucasians, but this association was largely explained by the adjusted factors. The findings are discussed in terms of social and economic disadvantage for Pacific Island peoples on Guam, as well as the impact of colonial administration, disaffection, and lack of autonomy for the Chamorro of Guam. Recommendations are made to improve psychiatric treatment for these groups by considering wider socio-political factors in assessment and treatment, as well as broader implications for the national dialogue on self-determination.

Ethnic inequalities in psychological distress among urban residents in the Netherlands: A moderating role of neighborhood ethnic diversity?

The main purpose of this study was to investigate whether neighborhood ethnic diversity moderated the association between ethnicity and psychological distress in the four largest cities of Netherlands. Multilevel linear regression analysis was used to assess whether the association between ethnicity and psychological distress differed by levels of neighborhood ethnic diversity. Results showed that the Turkish and Moroccan residents reported significantly higher psychological distress than native Dutch and Surinamese residents. In high ethnic diverse neighborhoods Turkish residents reported significantly less psychological distress than in low ethnic diverse neighborhoods. Ethnic diversity amplifies the risk of depression for some but not all ethnic minorities.

Psychosocial work factors and social inequalities in psychological distress: a population-based study

BackgroundMental health problems (MHP) are the leading cause of disability worldwide. The inverse association between socioeconomic position (SEP) and MHP has been well documented. There is prospective evidence that factors from the work environment, including adverse psychosocial work factors, could contribute to the development of MHP including psychological distress. However, the contribution of psychosocial work factors to social inequalities in MHP remains unclear. This study evaluates the contribution of psychosocial work factors from two highly supported models, the Demand-Control-Support (DCS) and the Effort-Reward Imbalance (ERI) models to SEP inequalities of psychological distress in men and women from a population-based sample of Quebec workers.MethodsData were collected during a survey on working conditions, health and safety at work. SEP was evaluated using education, occupation and household income. Psychosocial work factors and psychological distress were assessed using validated instruments. Mean differences (MD) in the score of psychological distress were estimated separately for men and women.ResultsLow education level and low household income were associated with psychological distress among men (MD, 0.56 (95% CI 0.06; 1.05) and 1.26 (95% CI 0.79; 1.73) respectively). In men, the contribution of psychosocial work factors from the DCS and the ERI models to the association between household income and psychological distress ranged from 9% to 24%. No clear inequalities were observed among women.ConclusionsThese results suggest that psychosocial work factors from the DCS and the ERI models contribute to explain a part of social inequalities in psychological distress among men. Psychosocial factors at work are frequent and modifiable. The present study supports the relevance of targeting these factors for the primary prevention of MHP and for health policies aiming to reduce social inequalities in mental health.

Socioeconomic Inequalities in Psychological Distress among Urban Adults: The Moderating Role of Neighborhood Social Cohesion.

BackgroundVarious studies have reported socioeconomic inequalities in mental health among urban residents. This study aimed at investigating whether neighborhood social cohesion influences the associations between socio-economic factors and psychological distress.MethodsCross-sectional questionnaire study on a random sample of 18,173 residents aged 16 years and older from 211 neighborhoods in the four largest cities in the Netherlands. Psychological distress was the dependent variable (scale range 10–50). Neighborhood social cohesion was measured by five statements and aggregated to the neighborhood level using ecometrics methodology. Multilevel linear regression analyses were used to investigate cross-level interactions, adjusted for neighborhood deprivation, between individual characteristics and social cohesion with psychological distress.ResultsThe mean level of psychological distress among urban residents was 17.2. Recipients of disability, social assistance or unemployment benefits reported higher psychological distress (β = 5.6, 95%CI 5.2 to 5.9) than those in paid employment. Persons with some or great financial difficulties reported higher psychological distress (β = 3.4, 95%CI 3.2 to 3.6) than those with little or no financial problems. Socio-demographic factors were also associated with psychological distress, albeit with much lower influence. Living in a neighborhood with high social cohesion instead of low social cohesion was associated with a lower psychological distress of 22% among recipients of disability, social assistance or unemployment benefits and of 13% among citizens with financial difficulties.ConclusionsResiding in socially cohesive neighborhoods may reduce the influence of lack of paid employment and financial difficulties on psychological distress among urban adults. Urban policies aimed at improving neighborhood social cohesion may contribute to decreasing socio-economic inequalities in mental health.

Structural neighbourhood conditions, social cohesion and psychological distress in the Netherlands.

Neighbourhood inequalities in psychological distress are well reported, but underlying mechanisms remain poorly understood. The main purposes of this study were to investigate associations between structural neighbourhood conditions and psychological distress, and to explore the potential mediating role of neighbourhood social cohesion. Cross-sectional questionnaire study on a random sample of 18,173 residents aged ≥ 16 years (response 49%) from the four largest cities in the Netherlands. Psychological distress was measured with the Kessler Psychological Distress Scale (K10). Structural environmental factors under study were neighbourhood socio-economic status (SES), neighbourhood green, urbanity and home maintenance. Neighbourhood social cohesion was measured by five statements and aggregated to the neighbourhood level by using ecometrics methodology. Multilevel linear regression analysis was used to investigate associations of neighbourhoods characteristics with psychological distress, adjusted for individual level characteristics. High neighbourhood SES and neighbourhood social cohesion were associated with decreased psychological distress. Adjusted for individual level characteristics and neighbourhood SES, only neighbourhood social cohesion remained significantly associated with psychological distress. Neighbourhood social cohesion accounted for 38% of the differences in the association between neighbourhood SES and psychological distress. High neighbourhood social cohesion is significantly associated with decreased psychological distress among residents of the four largest cities in the Netherlands. Reducing neighbourhood inequalities in psychological distress may require increasing social interactions among neighbourhood residents.

Transitions to adulthood and psychological distress in young adults born 12 years apart: constraints on and resources for development

Later transitions to adult roles and responsibilities have been linked with better psychological well-being yet psychological distress has risen despite young people making the transition to adulthood at older ages over recent years. We examine the role of structural constraints and adolescent resources in the relationship between the timing of transitions and psychological distress in early adult life in the 1958 National Child Development Study and the 1970 British Cohort Study. Graphical chain models were used to examine the influences on timing of four key transitions and their relationship with psychological distress (Malaise Inventory). The role of structural factors at birth (gender, social class) and adolescent resources (psychosocial problems, exam grades) were modelled. An earlier transition to adult roles was associated with an increased risk for psychological distress but so was failing to make some key transitions. Structural constraints had negative effects on successful development. Persistent social class and gender inequalities in psychological distress were evident in both cohorts. Social class constraints were mediated by educational resources whereas gender constraints were mediated by psychosocial resources. The influence of structural constraints on the timing of transitions to adult roles was more complex with evidence of positive and negative mediation and moderation effects. Delaying transition to adulthood promotes psychological health but failure of transition to independent living is associated with psychological distress. Life-course transitions are constrained by social origin and gender and possibly economic environment. Adolescent resources help young adults to make timely transitions to adult roles.

Caring-related inequalities in psychological distress in Britain during the 1990s.

This paper examines recent trends in inequalities in psychological distress associated with the provision of unpaid care by those who look after frail older people and younger disabled adults and children. Caring activities intensified during the 1990s, associated with increasing amounts of time devoted to the more demanding types of care and to those relationships that typically make heavy demands on the carer. Heavy involvement in caregiving is often associated with symptoms of anxiety and distress, and the intensification of care may increase rates of distress in carers relative to that in non-carers. A secondary analysis was carried out of data drawn from the first 10 waves of the British Household Panel Survey covering 1991-2000, based on around 9000 adults interviewed personally in successive waves. Symptoms of psychological distress, including anxiety and depression, were assessed using the 12-item General Health Questionnaire. Carers present higher rates of distress than noncarers and the health gap widens as the definition of caregiving focuses on those living with the person they care for, and those devoting 20 h or more per week to their caring activities. Differences in distress rates between carers and non-carers are greater for women than for men. There is no support for the hypothesis that inequalities in distress associated with caregiving have increased over time. There was no change during the 1990s in the extent of inequalities in psychological distress associated with caregiving in Britain. The need to maintain carers' emotional and mental health is as compelling as ever it was.

Age–period–cohort effects on inequalities in psychological distress, 1981–2000

In the closing decades of the twentieth century, changes in population sociodemographics took place that might be thought to have an adverse influence on the nation's psychological distress. Here, we examine the stability of social and gender inequalities in psychological distress throughout the 1980s and 1990s. The study uses data from the 1958 National Child Development Study and the 1970 British Cohort Study collected when the cohort members were aged between 23 and 42. Multilevel logistic regression models were used to examine the effects of social class, gender, age, period and cohort on psychological distress as measured by the Malaise Inventory. We identify clear social inequalities in psychological distress during 1981-2000 that reduced in magnitude over this period. Non-linear age effects were observed: psychological distress improves in early adulthood but declines again on approaching mid-life. The 1970 cohort had poorer psychological distress than the 1958 cohort. Although women had higher rates of psychological distress than men, gender differences reduced in magnitude. Declining rates of women's psychological distress over time have not been matched in men. A reduction in social inequalities over time was also observed. Improvements in the psychological health of those in manual occupations were not equalled among those in non-manual occupations. Both social and gender inequalities have narrowed in the last two decades of the twentieth century.

Psychological distress and work and home roles: a focus on socio-economic differences in distress.

Home and work factors have been linked to psychological status, but less is known about their contribution to social inequalities in psychological status. We examine whether social inequalities in psychological distress can be explained by work-home factors and whether the impact of these potential explanatory factors is similar for men and women. Data are from the 1958 British birth cohort study. We sought to explain social class differences in psychological distress at age 33. Explanatory factors were classified as work-home roles: i.e. employment, marital status, domestic responsibility, children and elderly care; and work-home characteristics: i.e. job-strain, insecurity, unsocial working hours, youngest child's age, number of children and level of involvement in childcare. A social gradient in psychological distress was found: odds ratios for classes IV and V v. I and II were 2.65 (men) and 3.02 (women). Work factors had consistently stronger associations with psychological distress and with social class among men than women. Work factors had a greater impact on class differences in psychological distress in men. Associations for home roles and characteristics were less consistent and their combined effect on class differences in distress was negligible for both sexes. Explanations for the social gradient differ for men and women. Work may be more important for men than women, but the impact of home factors was not strong during the early adulthood of this cohort.

Social class, income, education, area of residence and psychological distress: does social class have an independent effect on psychological distress in Antalya, Turkey?

The aim of this study is to determine the separate effects of social class, income, education and area of residence on psychological distress. The study also assesses whether the association between prevalence of high score on the 12-item General Health Questionnaire (GHQ 12) and social class is independent of other variables. Psychological distress was assessed by means of the GHQ 12. The study covered 1,092 adults aged 15 years or more living in two different quarters of Antalya. Social class status was defined by occupational position, with income, education and area of residence treated as confounders. Chi-square and logistic regression analyses were used to evaluate the data. Large inequalities in psychological distress by all variables were observed. Psychological distress was significantly associated with class status, after adjusting for income, education, area of residence and other potential confounders (age, sex and marital status). Class inequalities in psychological distress were observed between blue-collar workers/unqualified employees and bourgeoisie. These findings support the view that the recent widening of inequalities among social classes in Turkey pose a substantial threat to health.