What does Self Rated Mental Health Represent

Association of immigrant status with self-rated health in Spain: 2014-2020

OBJECTIVE

To examine inequalities in self-rated health between immigrant and native populations in 2014 and 2020, and whether these inequalities vary by sex/gender and social support.

METHODS

This cross-sectional study used information from adults aged ≥18 years who participated in the European Health Interview Survey in Spain in 2014 and 2020. Self-rated health was specified as good or bad/poor. Immigration status and length of stay were considered to specify the exposure. Poisson regression was used to estimate prevalence ratios (PR) and 95% confidence intervals (CI) in each survey. Interaction terms between immigration status and survey; and immigration status, survey, and sex/gender or social support were tested.

RESULTS

The adjusted analyses showed that when compared with Spanish native adults, immigrants with 6-15 years residing in Spain had a 1.34 (95%CI:1.18, 1.53) greater probability of rating their health as bad/poor in 2014. This probability was 1.48 (95%CI:1.28, 1.75) in 2020. No heterogeneity was observed for the associations of immigrant status/length of stay with self-rated health for sex/gender or social support in either survey (p-interactions for sex/gender: 0.41 and social support: 0.71).

CONCLUSION

Given the growth of the immigrant population in Spain and the importance of immigration as a social determinant of health, these findings call attention to a deeper examination of inequalities, with the aim of identifying potential factors leading to bad/poor rating of health over time.

Unveiling the dynamics of social engagement and subjective health in older adults: A gendered perspective

OBJECTIVES

As populations age globally, understanding the dynamics that influence the well-being of older individuals become increasingly crucial. The research employs a comprehensive approach to unravel the multifaceted interplay between social engagements and subjective health perceptions of older Indians, with a special focus on gender differences.

SUBJECTS AND METHODS

This study used data from the Longitudinal Aging Study in India (LASI) wave 1, 2017-18 with a total sample of 30,533 older adults aged 60 years and above. Bivariate analysis, chi-square tests and unadjusted and adjusted average marginal effects from logistic regression models were used to assess the relationship between social engagements and subjective health among older adults, stratified by gender.

RESULTS

The prevalence of poor health status decreased with higher frequency of social networks among both men (pp. (percentage point) = 6.1; CI (Confidence Interval): 10.6, 1.6) and women (pp. = 9.2; CI: 14.9, 3.4). The adjusted average marginal effects demonstrate that with an increase in the overall score of social engagement, the likelihood of poor health is almost reduced by half. For men, the prevalence of poor health was 9.8 pp. (95 % CI: 13.7, 5.8), while for women, it was 9.3 pp. (95 % CI: 15.2, 3.1).

CONCLUSION

Gendered perspectives unveil unique patterns, highlighting how societal expectations and roles assigned to each gender may influence the subjective health perceptions of older individuals. This study adds to the expanding knowledge base to enhance the well-being and fulfillment of aging populations, considering the complex interplay of social dynamics and gendered perspectives.

Patient-reported outcome measures in early psychosis: Evaluating the psychometric properties of the single-item self-reported health and self-reported mental health measures in Chennai, India and Montreal, Canada

AIM

Patient-reported outcome measures (PROMs) provide valuable information and promote shared decision-making but are infrequently used in psychosis. Self-rated Health (SRH) and Self-rated Mental Health (SRMH) are single-item PROMs in which respondents rate their health and mental health from 'poor' to 'excellent'. We examined the psychometric properties of the SRH and SRMH in early psychosis services in Chennai, India and Montreal, Canada.

METHODS

Assessments were completed in Tamil/English in Chennai and French/English in Montreal. Test-retest reliability included data from 59 patients in Chennai and Montreal. Criterion validity was examined against clinician-rated measures of depression, anxiety, positive and negative symptoms, and a quality-of-life PROM for 261 patients in Chennai and Montreal.

RESULTS

SRH and SRMH had good to excellent test-retest reliability (ICC >0.63) at both sites and in English and Tamil (but not French). Results for criterion validity were mixed. In Montreal, low SRH was associated with not being in positive symptom remission, and poorer functioning and quality of life. SRH was associated only with functioning in Chennai. No associations were found for SRMH in Montreal. In Chennai, low SRMH was associated with not being in positive symptom remission and poorer functioning.

CONCLUSIONS

Patient-reported outcome measures may perform differently across contexts as a potential function of variations in sociodemographics, illness characteristics/course, understandings of health/mental health, and so forth. More work is needed to understand if discrepancies between PROMs and CROMs indicate poor validity of PROMs or 'valid' differences between patient and clinician perceptions. Our work suggests that single-item PROMs can be feasibly integrated into clinical settings.

Healthcare and health situation of adults with type 2 diabetes in Germany: The study GEDA 2021/2022-Diabetes

Background

The nationwide study German Health Update (GEDA) 2021/2022-Diabetes was conducted to assess the current healthcare and health situation of adults with diabetes in Germany.

Methods

GEDA 2021/2022-Diabetes comprises a sample of adults with diagnosed diabetes from the general population. The analysis focuses on adults aged 45 years and over with type 2 diabetes (N = 1,448) and provides selected indicators on diabetes care as well as mental, social and general health.

Results

87.5 % of participants aged 45 years and over with type 2 diabetes are treated with blood glucose-lowering medication. 36.5 % receive insulin alone or in combination with other antidiabetics; 0.7 % use an insulin pump. Almost 96 % had an HbA1c measurement in the last year and about two thirds each report annual foot and eye examinations, participation in a diabetes self-management education programme and self-monitoring of their feet and of blood glucose (12.0 % with continuous glucose monitoring). On average, the quality of diabetes care is perceived as moderate. 23.8 % rate their mental health as excellent/very good. More than a tenth each have anxiety or depressive symptoms and feelings of loneliness. Half rate their general health as very good/good.

Conclusions

There is a potential for improvement in the quality of diabetes care and the mental and physical health of adults with type 2 diabetes.

Patient-reported outcome measures in early psychosis: A cross-cultural, longitudinal examination of the self-reported health and self-reported mental health measures in Chennai, India and Montreal, Canada

OBJECTIVE

Despite their acknowledged value, patient-reported outcome measures (PROMs) are infrequently used in psychosis, particularly in low-and middle-income countries. We compared ratings on two single-item PROMs, Self-Rated Health (SRH) and Self-Rated Mental Health (SRMH), of persons receiving similar early psychosis services in Chennai, India and Montreal, Canada. We hypothesized greater improvements in SRH and SRMH in the Chennai (compared to the Montreal) sample.

METHODS

Participants (Chennai N = 159/168 who participated in the larger study; Montreal N = 74/165 who participated in the larger study) completed the SRH and SRMH during at least two out of three timepoints (entry, months 12 and 24). Repeated measures proportional odds logistic regressions examined the effects of time (baseline to month 24), site, and relevant baseline (e.g., gender) and time-varying covariates (i.e., symptoms) on SRH and SRMH scores.

RESULTS

SRH (but not SRMH) scores significantly differed between the sites at baseline, with Chennai patients reporting poorer health (OR: 0.33; CI: 0.18, 0.63). While Chennai patients reported similar significant improvements in their SRH (OR: 7.03; CI: 3.13; 15.78) and SRMH (OR: 2.29, CI: 1.03, 5.11) over time, Montreal patients only reported significant improvements in their SRMH. Women in Chennai (but not Montreal) reported lower mental health than men. Higher anxiety and longer durations of untreated psychosis were associated with poorer SRH and SRMH, while negative symptoms were associated with SRH.

CONCLUSIONS

As hypothesized, Chennai patients reported greater improvements in health and mental health. The marked differences between health and mental health in Montreal, in contrast to the overlap between the two in Chennai, aligns with previous findings of clearer distinctions between mind and body in Western societies. Cross-context (e.g., anxiety) and context-specific (e.g., gender) factors influence patients' health perceptions. Our results highlight the value of integrating simple PROMs in early psychosis.

Loneliness in the Norwegian adolescent population: prevalence trends and relations to mental and self-rated health

BACKGROUND

Loneliness has become a significant public health problem and should be addressed with more research over a broader period. This study investigates the variations in the prevalence of loneliness among a nationally representative study population of Norwegian adolescents over the last three decades and whether age, gender, self-rated health, and mental distress are associated with these changes.

METHODS

Adolescents aged 13-19 years completed the structured and validated questionnaires from the three waves of the Young-HUNT Study: 1995-1997, 2006-2008, and 2017-2019. Loneliness was measured with one item asking, 'Are you lonely?'. Hopkins Symptom Checklist-5 was used to measure mental distress (cut-off ≥ 2). Self-rated health was assessed by a single question 'How is your health at the moment?' Measures were provided by self-report. Descriptive analyses were stratified by age, gender, self-rated health, and mental distress. Linear-by-Linear association test across survey years was performed to test time trends of loneliness. Logistic regression was used to analyze the cross-sectional associations of self-rated health and mental distress with loneliness, adjusting for sociodemographic factors in all three waves of Young-HUNT.

RESULTS

Loneliness prevalence doubled from 5.9% in 1995/97 to 10.2% in 2017/19 in the total population sample. The highest loneliness prevalence and an increase from 8.9% in 1995/97 to 16.7% in 2017/19 was observed in girls of 16-19 years. Among mentally distressed adolescents, loneliness increased from 22.3% in 1995/97 to 32.8% in 2006/08 and lowered to 27% in 2017/19. Increasing loneliness prevalence was seen in those with poor self-rated health, i.e., 14.6% in 1995-97 and 26.6% in 2017-19. Mental distress and poor self-rated health were associated with higher odds of loneliness in each wave (p < 0.001).

CONCLUSION

The results highlight the increasing burden of loneliness in the Norwegian adolescent population, especially girls. Those with mental distress and poor self-rated health have a higher risk of experiencing loneliness. Thus, health-promoting upbringing environments for children and adolescents that support mutual affinity, social support, integration, and belongingness in adolescents' daily arenas are essential.

Social Drivers of Mental Health: A U.S. Study Using Machine Learning

INTRODUCTION

Social drivers of mental health can be compared on an aggregated level. This study employed a machine learning approach to identify and rank social drivers of mental health across census tracts in the U.S.

METHODS

Data for 38,379 census tracts in the U.S. were collected from multiple sources in 2021. Two measures of mental health problems-self-reported depression and self-assessed poor mental health-among adults and three domains of social drivers (behavioral, environmental, and social) were analyzed on the basis of the unit of census tracts using the Extreme Gradient Boosting machine learning approach in 2022. The leading social drivers were found in each domain in the main sample and in the subsamples divided on the basis of poverty and racial segregation.

RESULTS

The three domains combined explained more than 90% of the variance of both mental illness indicators. Self-reported depression and self-assessed poor mental health differed in major social drivers. The two outcome indicators had one overlapping correlate from the behavioral domain: smoking. Other than smoking, climate zone and racial composition were the leading correlates from the environmental and social domains, respectively. Census tract characteristics moderated the impacts of social drivers on mental health problems; the major social drivers differed by census tract poverty and racial segregation.

CONCLUSIONS

Population mental health is highly contextualized. Better interventions can be developed on the basis of census tract-level analyses of social drivers that characterize the upstream causes of mental health problems.

Time trends in mental health indicators in Germany's adult population before and during the COVID-19 pandemic

Background

Times of crisis such as the COVID-19 pandemic are expected to compromise mental health. Despite a large number of studies, evidence on the development of mental health in general populations during the pandemic is inconclusive. One reason may be that representative data spanning the whole pandemic and allowing for comparisons to pre-pandemic data are scarce.

Methods

We analyzed representative data from telephone surveys of Germany's adults. Three mental health indicators were observed in ~1,000 and later up to 3,000 randomly sampled participants monthly until June 2022: symptoms of depression (observed since April 2019, PHQ-2), symptoms of anxiety (GAD-2), and self-rated mental health (latter two observed since March 2021). We produced time series graphs including estimated three-month moving means and proportions of positive screens (PHQ/GAD-2 score ≥ 3) and reports of very good/excellent mental health, as well as smoothing curves. We also compared time periods between years. Analyses were stratified by sex, age, and level of education.

Results

While mean depressive symptom scores declined from the first wave of the pandemic to summer 2020, they increased from October 2020 and remained consistently elevated throughout 2021 with another increase between 2021 and 2022. Correspondingly, the proportion of positive screens first decreased from 11.1% in spring/summer 2019 to 9.3% in the same period in 2020 and then rose to 13.1% in 2021 and to 16.9% in 2022. While depressive symptoms increased in all subgroups at different times, developments among women (earlier increase), the youngest (notable increase in 2021) and eldest adults, as well as the high level of education group (both latter groups: early, continuous increases) stand out. However, the social gradient in symptom levels between education groups remained unchanged. Symptoms of anxiety also increased while self-rated mental health decreased between 2021 and 2022.

Conclusion

Elevated symptom levels and reduced self-rated mental health at the end of our observation period in June 2022 call for further continuous mental health surveillance. Mental healthcare needs of the population should be monitored closely. Findings should serve to inform policymakers and clinicians of ongoing dynamics to guide health promotion, prevention, and care.

A single-item measure of self-rated mental health and psychological distress. In what situations can a single-item measure be useful?

OBJECTIVE

To examine the association between self-rated mental health (SRMH) and psychological distress (PD) at multiple periods and subsequently assess the potential of SRMH as a screening tool.

METHOD

Staff working at a designated COVID-19 hospital in Sydney, Australia during March to May 2020 completed the SRMH and Kessler Psychological Distress Scale (K10) within a larger survey examining the pandemic's impact on health and well-being. SRMH was assessed before the pandemic (baseline), during its first peak in 2020 (time 2) and several months later (time 3). K10 was assessed for time 2 and time 3. All assessments took place at time 3.

RESULTS

At time 2, 80% of respondents with high PD and 25% with low PD reported poor SRMH (χ² = 21.3, p < .0001). At time 3, 90% with low PD reported good SRMH. Risk of high PD was greater for respondents with persistently poor SRMH (time 2: OR = 18.2, 95% CI = 7.7-42.8; time 3: OR = 14.4, 95% CI = 6.9-29.9) and, to a lesser extent, for those whose SRMH declined (time 2: OR = 11.6, 95% CI = 6.6-20.4; time 3: OR = 13.8, 95% CI = 2.9-66.9), compared to those with persistently good SRMH.

CONCLUSIONS

During a crisis SRMH can identify the majority of those most likely to benefit from additional assessment and support. Persistently poor SRMH indicates highest risk, detectable from routine screening.

Rural-Urban disparities in self-reported physical/mental multimorbidity: A cross-sectional study of self-reported mental health and physical health among working age adults in the U.S

Purpose

Self-rated physical health (SRPH) and self-rated mental health (SRMH) are both linked to excess morbidity and premature mortality and can vary across rural and urban contexts. This can be particularly problematic for rural residents who have less access to important health care infrastructure. In this paper, we assess the prevalence of and rural-urban disparities at the intersection of SRPH and SRMH, specifically self-rated physical/mental multimorbidity (SRPMM) overall and across rural-urban contexts.

Methods

Using a cross-sectional demographically representative national dataset of over 4000 working age adults in the U.S., we expose rural-urban differences in the prevalence of SRPMM and explore individual-level factors that may explain this disparity.

Results

Approximately 15 percent of working age adults reported SRPMM, but rural adults were at higher risk than their urban counterparts. However, this disadvantage disappeared for remote rural working-age adults and was attenuated for metro-adjacent rural working-age adults when we controlled for the fact that rural adults had lower household incomes.

Conclusion

Findings reveal a higher risk of SRPMM among rural adults, in part because of lower incomes among this group. This work acts as the foundation for facilitating research on and addressing rural-urban disparities in SRPMM.

Self-rated mental health in the transition to adulthood predicts depressive symptoms in midlife

Self-rated mental health (SRMH), a single item asking individuals to evaluate their mental or emotional health, is included in some surveys as an indicator of risk for mental disorders and to monitor population health, yet little longitudinal research examines how well it predicts future outcomes. Following a life course perspective, the current longitudinal study of 502 Canadian high school seniors tracked into midlife examined to what extent SRMH at ages 20, 25, and 32 years predicted depressive symptoms at ages 43 and 50. Hierarchical linear regressions showed that lower SRMH at age 25 and at 32 years was a significant predictor of higher levels of depressive symptoms at ages 43 and 50, even when controlling for sex, participant education, marital/cohabitation status, self-rated physical health, and baseline depressive symptoms. The results provide evidence that SRMH assessed during the transition to adulthood may be useful as a broad and powerful measure of risk for mental health problems decades into the future.

Rural urban differences in self-rated health among older adults: examining the role of marital status and living arrangements

BACKGROUND

The rural-urban gap in socioeconomic and morbidity status among older adults is prevalent in India. These disparities may impact the levels and factors of self-rated health (SRH). The objective of the study is to compare the levels and determinants of SRH between rural and urban areas by considering the moderating effects of marital status and living arrangements.

SUBJECTS AND METHODS

The present study used data from the Longitudinal Ageing Study in India (LASI) wave 1 (2017-18). A total sample of 30,633 older adults aged 60 years and above were selected for the study. Descriptive statistics, bivariate chi-square test, the interaction effect of living arrangements and marital status, and logistic estimation were applied to accomplish the study objectives.

RESULTS

The prevalence of poor SRH was found 7% higher in rural areas compared to urban counterparts. A substantial rural-urban disparity in the patterns of poor SRH was also observed. The interaction effect of marital status and living arrangement on self-rated health suggested that older adults who were currently unmarried and living alone were 38% more likely to report poor SRH than those who were currently married and co-residing in rural India. In addition to marital status and living situation, other factors that significantly influenced SRH include age, socio-cultural background (educational attainment and religion), economic background (employment status), health status (ADLs, IADLs, multi-morbidities), and geographic background (region).

CONCLUSION

The present study's findings demonstrated that, notwithstanding local variations, marital status and living circumstances significantly influenced SRH in India. In the present study, unmarried older people living alone were more susceptible to poor SRH in rural areas. The present study supports the importance of reinforcing the concepts of care and support for older individuals. There is a need for special policy attention to older individuals, particularly those unmarried and living alone. Although older individuals had difficulty performing ADLs and IADLs and had multi-morbidities, they reported poorer health. Therefore, offering them social support and top-notch medical assistance is crucial.

Working from home, work-time control and mental health: Results from the Brazilian longitudinal study of adult health (ELSA-Brasil)

This cross-sectional study investigated the association between work-time control (WTC), independently and in combination with hours worked (HW), and four mental health outcomes among 2,318 participants of the Longitudinal Study of Adult Health (ELSA-Brasil) who worked from home during the COVID-19 pandemic. WTC was assessed by the WTC Scale, and mental health outcomes included depression, anxiety, stress (measured by the Depression, Anxiety and Stress Scale, DASS-21), and self-rated mental health. Logistic regression models were used to determine odds ratios (ORs) and 95% confidence intervals (CIs). Among women, long HW were associated with stress (OR = 1.56; 95% CI = 1.11–2.20) and poor self-rated mental health (OR = 1.64; 95% CI = 1.13–2.38), whereas they were protective against anxiety among men (OR = 0.59; 95% CI = 0.37–0.93). In both sexes, weak WTC was associated with all mental health outcomes. Among women, the long HW/weak WTC combination was associated with all mental health outcomes, and short HW/weak WTC was associated with anxiety and stress. Among men, long HW/strong WTC was protective against depression and stress, while short HW/strong WTC and short HW/weak WTC was associated with all mental health outcomes. In both sexes, weak WTC, independently and in combination with HW, was associated with all mental health outcomes. WTC can improve working conditions, protect against mental distress, and fosterwork-life balance for those who work from home.

The Impact of Working from Home on Mental Health: A Cross-Sectional Study of Canadian Worker's Mental Health during the Third Wave of the COVID-19 Pandemic

The COVID-19 pandemic has seen a considerable expansion in the way work settings are structured, with a continuum emerging between working fully in-person and from home. The pandemic has also exacerbated many risk factors for poor mental health in the workplace, especially in public-facing jobs. Therefore, we sought to test the potential relationship between work setting and self-rated mental health. To do so, we modeled the association of work setting (only working from home, only in-person, hybrid) on self-rated mental health (Excellent/Very Good/Good vs. Fair/Poor) in an online survey of Canadian workers during the third wave of COVID-19. The mediating effects of vaccination, masking, and distancing were explored due to the potential effect of COVID-19-related stress on mental health among those working in-person. Among 1576 workers, most reported hybrid work (77.2%). Most also reported good self-rated mental health (80.7%). Exclusive work from home (aOR: 2.79, 95%CI: 1.90, 4.07) and exclusive in-person work (aOR: 2.79, 95%CI: 1.83, 4.26) were associated with poorer self-rated mental health than hybrid work. Vaccine status mediated only a small proportion of this relationship (7%), while masking and physical distancing were not mediators. We conclude that hybrid work arrangements were associated with positive self-rated mental health. Compliance with vaccination, masking, and distancing recommendations did not meaningfully mediate this relationship.

Toward Measurement for a Whole Child Health Policy: Validity and National and State Prevalence of the Integrated Child Risk Index

OBJECTIVE

To develop, validate and estimate national and across state prevalence on a multidimensional index that assesses the complex medical, social, and relational health risks experienced by United States children.

METHODS

Data from the National Survey of Children's Health were used to construct the Integrated Child Risk Index (ICRI) which includes medical health risk (MHR), social health risk (SHR) and relational health risk (RHR) domains. Confirmatory factor analysis and logistic regression analyses were employed to assess construct and predictive validity. Validity outcomes were child flourishing, school engagement/readiness, emergency room utilization and forgone care.

RESULTS

Confirmatory factor analysis confirmed the ICRI 3-domain structure and greater correlation between MHR and RHR than MHR and SHR. Logistic regressions confirmed strong predictive validity of the ICRI for all study outcomes and ICRI scoring approaches. Nearly two-thirds of children (64.3%) with MHR also experienced SHR and/or RHR. Nearly one-third of United States children experienced risks on 2 or more ICRI domains and 15% of publicly insured children had risks on all domains (16.2%; 9.0%-25.7% across states). Significant variations were observed across states and by age, race/ethnicity, health insurance and household income.

CONCLUSIONS

The ICRI is a valid national and state level index associated with children's flourishing and educational preparedness and emergency and forgone care. National child health policies and Medicaid risk stratification and payment models should consider children's RHR in addition to SHR and MHR. Results call for integrated systems of care with the capacity to address medical, social and relational health risks and promote well-being. Substate and clinical applications require research.

The Relationship between Alcohol Drinking Indicators and Self-Rated Mental Health (SRMH): Standardized European Alcohol Survey (SEAS)

Given that the self-perception of mental health is an important predictor of health outcomes and wellbeing, it is important to identify the indicators of mental health associated with alcohol consumption in order to reduce alcohol-related harms. This study used data from the cross-sectional RARHA SEAS survey (2015) in the Croatian general population, aged 18-64 years (n = 1500). Several aspects of drinking behaviors and alcohol-related harms were measured, as well as personal and sociodemographic factors. Logistic regression found a significant association between alcohol's harm to others (AHTO) and poor self-rated mental health (SRMH) (OR = 0.752; 95% CI 0.601-0.941) in the total sample, as well as in the group of participants who rarely drank alcohol (OR = 0.504; 95% CI 0.322-0.787) in the last 12 months. More frequent consumers reported poor SRMH if they had at least one harmful effect from drinking (OR 0.538; 95% CI 0.295-0.980). Younger age, higher education, professional activity, and living with someone else in a household contributed to better SRMH. AHTO has been identified as a strong predictor of poor SRMH in the general population. Targeted public health and preventive measures are needed with specific approaches for different types of alcohol consumers.

Examining the quality of work-life of paramedics in northern Ontario, Canada: A cross-sectional study

BACKGROUND: Paramedics are exposed to multiple stressors in the workplace. They are more likely to develop occupational-related stress conditions compared to other occupations. This study focused on understanding the factors affecting QoWL of paramedics in northern Ontario, Canada; a particular focus was on understanding the personal and organizational factors, such as practicing community paramedicine (CP), which may be associated with Quality of Work Life (QoWL). METHODS: Paramedic QoWL was assessed using an online survey that was distributed to approximately 879 paramedics across northern Ontario. The survey included the 23-Item Work- Related Quality of Work Life Scale. Data analysis involved linear regressions with nine predictor variables deemed to be related to QoWL for paramedics with QoWL and its six subscales as dependent variables. Multiple linear regressions were used to assess the personal and organizational factors, such as practicing of CP, which predicted QoWL. RESULTS: One hundred and ninety-seven paramedics completed the questionnaire. Overall, the mean QoWL score of all paramedic participants was 73.99, and this average compared to relevant published norms for other occupations. Factors that were most associated with higher QoWL were, experience practicing CP (p < 0.05), number of sick days/year (p < 0.01), and higher self- rated mental health (p < 0.001). CONCLUSIONS: Higher paramedic QoWL appears to be associated with many factors such as number of sick days per year, self-rated mental health, and participation in CP. EMS organizations should consider establishing necessary workplace health promotion strategies that are targeted at improving QoWL for paramedics.

Perceived religious discrimination and mental health

OBJECTIVES

Most knowledge on the health consequences of discrimination comes from studies on racial/ethnic minorities, and research on religious discrimination is rare. To address this gap in knowledge, we examine the relationship between religious discrimination and self-rated mental health (SRMH), focusing on the role of religious affiliation as well as religious participation and the importance of religion/spirituality.

METHODS

The empirical analysis uses cross-sectional data from Statistics Canada's 2013 General Social Survey (GSS-27) and the target population includes Canadians aged 15 and older (N = 27,104) from all 10 provinces. The outcome variable is SRMH. Using OLS regressions, we compare the consequences of religious discrimination across five major religious groups (Christian, Buddhist, Hindu, Jewish, and Muslim), controlling for racial status and other confounding variables, and examining moderating factors.

RESULTS

Religious discrimination is harmful for the SRMH of all religious groups. Despite experiencing higher levels of religious discrimination, religious minorities have no worse SRMH than the Christian majority, with the exception of Buddhists, who fare worse. The magnitude of the relationship between religious discrimination and SRMH differs across religious groups.

CONCLUSION

Religious discrimination is a threat to mental health, irrespective of religious affiliation. There is a need to disaggregate non-Christian groups into distinct groups in studies of religious discrimination.

Age and sex differences in associations between self-reported health, physical function, mental function and mortality

OBJECTIVES

To explore how age and sex affect the impacts of self-rated health, self-reported physical activities, physical function, and depressive symptoms on long-term mortality among community-dwelling middle-aged and older adults using a nationally representative population-based cohort study.

METHODS

Data from 1550 study participants from the Social Environment and Biomarkers of Aging Study (SEBAS) were retrieved for analysis, and all participants were divided into four groups based on their age and gender. Middle aged participants were aged 53 to 64 years, and elderly subjects were ≥ 65 years old. Multivariate logistic regression models were applied to investigate the associations between age, sex, and self-reported disabilities of physical activities, physical function (activities of daily living (ADL) and instrumental activities of daily living (IADL) and depression.

RESULTS

Although the self-reported health status was similar across different age- and sex-stratified subgroups, older women were at the highest risk in self-reported difficulty with physical activities (aOR 2.58 [1.55-4.28]) and difficulty with IADL (aOR 3.32 [2.20-5.03]) compared to men. After adjusting for living arrangement, residence locale, education levels, occupation, socioeconomic status, self-reported health, multimorbidity, impairments in daily activities, and depressive symptoms, older men were found to display the highest risk of mortality (aHR 2.06 [95% CI 1.45-2.93]).

CONCLUSIONS

Although self-reported health was similar across different age and sex stratified subgroups, women (particularly older women) are significantly more likely to have worse physical and functional health than men. After adjusting for all confounding factors, men are at substantially greater risk for mortality despite reporting better health and functional performance.

Area- and Individual-Level Correlates of Self-Rated Health: Implications for Geographic Health Disparities

BACKGROUND

Self-rated health (SRH) is a common measure of overall health. However, little is known about multilevel correlates of physical and mental SRH.

METHODS

Patients attending primary care clinics completed a survey before their appointment, which we linked to community data from American Community Survey and other sources (n = 455). We conducted multilevel logistic regression to assess correlates of excellent/very good versus good/fair/poor physical and mental SRH.

RESULTS

43.9% of participants had excellent/very good physical SRH, and 55.2% had excellent/very good mental SRH. Physical SRH was associated with age (odds ratio[OR] = 0.82 per 10 years; 95% confidence interval[CI] = 0.72-0.93) and community correlates, including retail establishment density (OR = 0.94, 95% CI = 0.90-0.99) and percent of students eligible for free/reduced lunch (OR = 1.60, 95% CI = 1.08-2.38) (all P < .05). Mental SRH was not associated with any characteristics.

CONCLUSIONS

Practitioners in public health, social work, and medicine could use zip codes to intervene in patients and communities to improve physical SRH.

COVID-19, Inter-household Contact and Mental Well-Being Among Older Adults in the US and the UK

Interacting with family members and friends from other households is a key part of everyday life and is crucial to people's mental well-being. The COVID-19 pandemic severely curtailed face-to-face contact between households, particularly for older adults (aged 60 and above), due to their high risk of developing severe illness if infected by COVID-19. In-person contact, where possible, was largely replaced by virtual interaction during the pandemic. This article examines how inter-household contact in face-to-face and virtual forms, as well as combinations of the two forms of contact, related to older adults' mental well-being during the pandemic. Data from two national longitudinal surveys, collected from the same respondents before (2018-2019) and during (June 2020) the pandemic, were comparatively analysed: the Health and Retirement Study in the US and Understanding Society in the UK. The findings showed a notable increase in loneliness in the US and a decline in general mental well-being in the UK following the outbreak of COVID-19. In both countries, more frequent inter-household face-to-face contact during the pandemic was associated with better general mental well-being, but inter-household virtual contact, via means such as telephone and digital media, was not associated with general mental well-being in either the US or the UK. In the US, older adults who engaged more frequently in virtual contact were more likely to feel lonely during the pandemic, particularly if their face-to-face contact was limited. In both countries, the increase in loneliness following the outbreak of the pandemic was greater for older adults who reported more virtual contact. The findings suggest that household-centred crisis management during the COVID-19 pandemic had unintended mental health implications in both the US and the UK, despite contextual differences between the two countries. Although face-to-face contact between households helped to sustain older adults' mental well-being, virtual contact was not a qualitatively equivalent alternative. The findings also provide an important evidence base for informing policy developments and for supporting the mental health of older people during the COVID-19 pandemic and in the longer term.

Associations of adverse and positive childhood experiences with adult physical and mental health and risk behaviours in Slovenia

Background: Many studies demonstrated the relationship between adverse childhood experiences (ACEs) and diminished health functioning in adulthood. A growing literature has shown that positive childhood experiences (PCEs) co-occurring with ACEs reduce the risks for negative outcomes. Objective: The aim was to investigate how ACEs and PCEs are simultaneously associated with health outcomes in adulthood, including self-rated health, physical and mental health outcomes, and health-risk behaviours. Methods: A panel sample of 4,847 Slovenian adults was used and the data were weighted to closely resemble the Slovenian population. A series of logistic regression analyses were performed to examine how ACEs and PCEs predict the risk of various health outcomes. Results: Significant associations, as measured by adjusted odds ratios, were found between higher ACEs exposure and each of the 16 health outcomes evaluated. Adjusting for above median PCEs attenuated the association between ACEs and 6 health outcomes (poor self-rated physical and mental health, depression, anxiety, suicide attempt, physical inactivity; OR for ≥ 4 vs. 0 ACEs, 1.48-9.34). Mirroring these findings, above median PCEs were associated with lowered odds of these 6 health outcomes after adjusting for ACEs (OR for above vs. below median PCEs, 0.46-0.67), but not with odds of physical health outcomes and most of the health-risk behaviours. Stratified analyses by ACEs exposure level showed that the association between PCEs and self-rated health remained stable across ACEs exposure levels, while the association between PCEs and mental health outcomes and physical inactivity varied across ACEs exposure levels. Conclusions: Our results suggest that above median PCEs attenuate the association between ACEs and poor self-rated health, mental health problems, and physical inactivity in later life, and are negatively associated with these health problems even in the concurrent presence of ACEs. Interventions to promote PCEs can help to reduce unfavourable long-term health outcomes following childhood adversity.

Association between neighbourhood characteristics and antidepressant use at older ages: a register-based study of urban areas in three European countries

BACKGROUND

Research evidence on the association between neighbourhood characteristics and individual mental health at older ages is inconsistent, possibly due to heterogeneity in the measurement of mental-health outcomes, neighbourhood characteristics and confounders. Register-based data enabled us to avoid these problems in this longitudinal study on the associations between socioeconomic and physical neighbourhood characteristics and individual antidepressant use in three national contexts.

METHODS

We used register-based longitudinal data on the population aged 50+ from Turin (Italy), Stockholm (Sweden), and the nine largest cities in Finland linked to satellite-based land-cover data. This included individual-level information on sociodemographic factors and antidepressant use, and on neighbourhood socioeconomic characteristics, levels of urbanicity, green space and land-use mix (LUM). We assessed individual-level antidepressant use over 6 years in 2001-2017 using mixed-effects logistic regression.

RESULTS

A higher neighbourhood proportion of low-educated individuals predicted lower odds for antidepressant use in Turin and Stockholm when individual-level sociodemographic factors were controlled for. Urbanicity predicted increased antidepressant use in Stockholm (OR=1.02; 95% CI 1.01 to 1.03) together with more LUM (OR=1.03; 1.01-1.05) and population density (OR=1.08; 1.05-1.10). The two latter characteristics also predicted increased antidepressant use in the Finnish cities (OR=1.05; 1.02-1.08 and OR=1.14; 1.02-1.28, respectively). After accounting for all studied neighbourhood and individual characteristics of the residents, the neighbourhoods still varied by odds of antidepressant use.

CONCLUSIONS

Overall, the associations of neighbourhood socioeconomic and physical characteristics with older people's antidepressant use were small and inconsistent. However, we found modest evidence that dense physical urban environments predicted higher antidepressant use among older people in Stockholm and the Finnish cities.

Unmet Need for Medical Care: The Role of Mental Health Status

Mental health status is an important factor to consider when exploring correlates of unmet need for medical care and prescription drugs. This paper explores whether self-rated mental health status is associated with unmet need and delays in obtaining medical care and prescription drugs. Descriptive statistics and multivariable logistic regression with 27,305 non-institutionalized adults aged 18 and older from the 2012 Medical Expenditure Panel Survey explore factors associated with self-reported unmet need for medical care and prescriptions, as well as access delays. Patients with lower physical and mental health status had the highest odds of experiencing unmet need for medical care and prescriptions, as well as access delays. These findings highlight the importance of increasing access to a usual source of care among individuals with lower self-rated mental health status as a strategy for addressing unmet need.

Self-rated stress, distress, mental health, and health as modifiers of the association between long-term exposure to ambient pollutants and mortality

BACKGROUND

Individual and neighbourhood-scale socioeconomic characteristics modify associations between exposure to air pollution and mortality. The role of stress, which may integrate effects of social and environmental exposures on health, is unknown. We examined whether an individual's perspective on their own well-being, as assessed using self-rated measures of stress and health, modifies the pollutant-mortality relationship.

METHODS

The Canadian Community Health Survey (CCHS)-mortality cohort includes respondents from surveys administered between 2001 and 2012 linked to vital statistics and postal codes from 1981 until 2016. Annual fine particulate matter (PM_2.5), nitrogen dioxide (NO₂), and ozone (O₃) exposure estimates were attached to a sample of cohort members aged 30-89 years (n = 398,300 respondents/3,848,400 person-years). We examined whether self-rated stress, distress, mental health, and general health modified associations between long-term exposure to each pollutant (three-year moving average with one-year lag) and non-accidental mortality using Cox survival models, adjusted for individual- (i.e. socioeconomic and behavioural) and neighbourhood-scale covariates.

RESULTS

In fully-adjusted models, the relationship between exposure to pollutants and mortality was stronger among those with poor self-rated mental health, including a significant difference for NO₂ (hazard ratio (HR) = 1.15, 95% CI 1.06-1.25 per IQR) compared to those with very good/excellent mental health (HR = 1.05, 95% CI 1.01-1.08; Cochran's Q = 4.01; p < 0.05). Poor self-rated health was similarly associated with higher pollutant-associated HRs, but only in unadjusted models. Stress and distress did not modify pollutant-mortality associations.

CONCLUSIONS

Poor self-rated mental and general health were associated with increased mortality attributed to exposure to ambient pollutants.

Self-rated Physical, Mental, Oral, and Cognitive Health in Older Korean Immigrants: The Role of Health Indicators and Sociocultural Factors

Objectives:

Guided by the models of health assessment and social determinants of health, we examined predictors of self-rated physical, mental, oral, and cognitive health of older Korean immigrants.

Methods:

Data came from the Study of Older Korean Americans (SOKA; N = 2,061, Mean age = 73.2). Multivariate regression models of self-ratings of health were tested with health indicators (both domain-specific and other health indicators including chronic disease, functional disability, problems with teeth or gums, and cognitive function) and sociocultural factors (acculturation, social network, and ethnic community social cohesion).

Results:

For self-rated physical, mental, and oral health, indicators specific to the targeted domain played a primary role, with those of other health domains playing a secondary role. Acculturation and social network were significant predictors of all four measures.

Discussion:

Findings highlight the importance of holistic health assessment that considers a wide range of health domains as well as sociocultural contexts.

Moderation of the Association Between Individual Food Security and Poor Mental Health by the Local Food Environment Among Adult Residents of Flint, Michigan

Purpose: Food insecurity is a psychosocial stressor with deleterious effects on mental health. This study examined whether the local food environment moderates the association of individual food insecurity with poor mental health. Methods: Cross-sectional survey data were collected from adult residents of Flint, Michigan (n=291), in 2015. Multivariate logistic models assessed whether quality of the local food environment moderated the relationship of food insecurity with poor mental health. A binary indicator of poor mental health was created. Participants were asked to rate their overall "mental or emotional health" using a 5-point Likert scale. Individuals were classified as having either good mental health (i.e., ratings of good, very good, or excellent) or poor mental health (i.e., ratings of fair or poor). Results: In fully adjusted models, food insecurity was associated with 3.2 (95% confidence interval [CI]: 1.6-6.2) times higher odds of poor mental health. However, increased proximate access to vegetables and fruits moderated this association. For example, those in the bottom 25th percentile of access to vegetables had 7.4 (95% CI: 2.7-20.5) times higher odds of poor mental health. In contrast, for those in the top 25th percentile of vegetable access, food insecurity was only marginally associated with poor mental health (odds ratio=2.2; 95% CI: 1.0-4.7). Conclusion: Greater proximate access to vegetables and fruits moderated food insecurity's association with poor mental health. Longitudinal evaluation of programs and policies that improve availability of nutrient-rich foods in food insecure communities is needed to determine whether they yield a mental health benefit.

Dose response association of objective physical activity with mental health in a representative national sample of adults: A cross-sectional study

Although higher physical activity (PA) levels are associated with better mental health, previous findings about the shape of the dose–response relationship between PA and mental health are inconsistent. Furthermore, this association may differ according to sedentary levels. We investigated the cross-sectional dose-response associations between objectively measured PA and mental health in a representative national sample of adults. We also examined whether sedentary time modified the PA—mental health associations. Based on 2007–2013 Canadian Health Measures Survey data, PA and sedentary time were measured using accelerometry among 8150 participants, aged 20 to 79 years. Generalized additive models with a smooth function were fitted to examine associations between minutes per day of moderate and vigorous PA (MVPA), light PA (LPA), daily steps (combined or not with sedentary time) and self-rated mental health. A significant curvilinear relationship between average daily minutes of MVPA and mental health was observed, with increasing benefits up to 50 minutes/day. For LPA, a more complex shape (monotonic and curvilinear) was found. For daily steps, inverted U-shaped curve suggested increasing benefits until a plateau between 5 000 and 16 000 steps. The MVPA-LPA combination was significantly associated with mental health but with a complex pattern (p < 0.0005^E-06). The tested PA-sedentary time combinations showed that increasing sedentary time decreased the positive PA-mental health associations. Non-linear dose-response patterns between the PA modalities and self-reported mental health were observed. Optimal doses of daily minutes of MVPA, LPA, MVPA combined with LPA and daily steps are independently associated with better mental health in adults. The results also suggest that PA-mental health associations could be hampered by daily sedentary time.

Ethnic Groups Differ in How Poor Self-Rated Mental Health Reflects Psychiatric Disorders

AIM

This study aimed to explore cross-ethnic variation in the pattern of the associations between psychiatric disorders and self-rated mental health (SRMH) in the USA.

METHODS

This cross-sectional study used data from the Collaborative Psychiatric Epidemiology Surveys (CPES), 2001-2003, a national household probability sample. The study enrolled 18,237 individuals who were either Non-Hispanic White (n = 7587), African American (n = 4746), Mexican (n = 1442), Cuban (n = 577), Puerto Rican (n = 495), Other Hispanic (n = 1106), Vietnamese (n = 520), Filipino (n = 508), Chinese (n = 600) or Other Asian (n = 656). SRMH was the outcome. Independent variables were psychiatric disorders including major depressive disorder [MDD], general anxiety disorder [GAD], social phobia, alcohol abuse, binge eating disorders, panic disorder, and post-traumatic stress disorder [PTSD], measured by the Composite International Diagnostic Interview (CIDI). Demographic (age and gender) and socioeconomic (education and income) factors were covariates.

RESULTS

The only psychiatric disorder which was universally associated with SRMH across all ethnic groups was MDD. More psychiatric disorders were associated with poor SRMH in Non-Hispanic Whites than any other ethnic groups. Among African Americans, demographic and socioeconomic factors could fully explain the associations between psychiatric disorders and SRMH. Among Mexican and Other Hispanics, demographic and socioeconomic factors could only explain the association between some but not all psychiatric disorders and SRMH. In all other ethnic groups, demographic and socioeconomic factors did not explain the link between psychiatric disorders and SRMH.

CONCLUSION

Although SRMH is a useful tool for estimation of mental health needs of populations, poor SRMH may not have universal meanings across ethnically diverse populations. Ethnic groups differ in how their poor SRMH reflects psychiatric conditions and the role of demographic and socioeconomic factors in explaining such links. These ethnic differences may be a source of measurement bias in cross-ethnic health comparisons.

Establishing Minimal Important Differences for the VR-12 and SANE Scores in Patients Following Treatment of Rotator Cuff Tears

Background:

Minimal important differences (MIDs) for the Veterans RAND 12-Item Health Survey (VR-12) and the Single Assessment Numeric Evaluation (SANE) have not been reported in patients following treatment for rotator cuff tears (RCTs).

Purpose:

To determine the MIDs for the VR-12 and SANE among patients with RCT after treatment.

Study Design:

Cohort study (diagnosis); Level of evidence, 2.

Method:

A total of 222 patients diagnosed with RCT completed the VR-12 and SANE at baseline and then received surgical or nonsurgical treatment. After 64 weeks, 160 patients completed the VR-12, the SANE, and a global change questionnaire. We applied a distribution-based approach to estimate the MIDs for the SANE and for the physical component score (PCS) and mental component score (MCS) of the VR-12. We then used the global rating score as an anchor for 20 patients who perceived a minimal improvement, and we applied an anchor-based approach. One-half standard deviation of the baseline score was used in the distribution-based approach. Linear regression analyses and backward model selection were conducted to evaluate the associations between patients’ characteristics and the anchor-based MIDs.

Results:

The MIDs derived from distribution-based method estimates for the VR-12 PCS, MCS, and SANE scores were 4.94, 5.99, and 11.80, respectively. The MIDs estimated using the anchor-based method for the PCS, MCS, and SANE scores were 2.57 (90% CI, –1.62 to 6.76), 1.87 (90% CI, –2.07 to 5.80), and 27.25 (90% CI, 16.17 to 38.33), respectively. The final regression model for significant predictors of the MID on the PCS included baseline PCS (P < .001), body mass index (P = .014), symptom duration (P = .011), diabetes (P = .009), and surgery (P = .089). The final model for the MID on the MCS included baseline MCS (P < .001), patient sex (P = .027), and diabetes (P = .083). The final model for the MID on SANE included baseline SANE score (P = .059) and diabetes (P = .050).

Conclusion:

This is the first study to assess the MIDs for the VR-12 and SANE scores in patients with rotator cuff disease. The estimates of MID will facilitate the interpretation and application of these outcome measures in clinical practice and research.

The impact of job insecurity on long-term self-rated health - results from the prospective population-based MONICA/KORA study

Background

Job insecurity has been associated with impaired self-rated health (SRH) in cross-sectional studies, but prospective findings with short, medium and long-term follow-up yielded mixed findings. Therefore, the aim of the present study was to assess the long-term association between perceived job insecurity and SRH, after controlling for baseline levels of health status and life-style choices. Furthermore, three different follow-up periods (14, 19 and 24 years) were considered.

Methods

Data were derived from the prospective population-based MONICA/KORA cohort study (southern Germany). N = 4356 participants (2622 men and 1734 women), aged between 25 and 64 years at baseline, were included in the sample, mean follow-up was after 19.1 years. Job insecurity, SRH and risk factors were assessed at baseline during three independent surveys (1984–1995). SRH was additionally assessed in 2009. The association of job insecurity and impaired SRH at follow-up was estimated using logistic regression analyses.

Results

Overall, perceiving job insecurity at baseline was significantly associated with a 20% higher risk of developing impaired SRH at follow-up in the pooled analysis (OR = 1.20, 95% CI = 1.01–1.43, p = .034), even after controlling for baseline SRH, socio-demographic characteristics, lifestyle, clinical and work-related factors. The association was strongest and significant after 14 years (OR = 1.58, 95% CI 1.17–2.13, p = .003) and weaker and not significant to 19 (OR = 1.20, 95% CI 0.89–1.62, p = .24) and 24 years (OR = 0.98, 95% CI 0.73–1.32, p = .89) of follow-up in the fully adjusted models.

Conclusions

We found that perceived job insecurity during working life was independently and significantly associated with impaired SRH both cross-sectionally as well as after 14 years, but not after 19 and 24 years.

Electronic supplementary material

The online version of this article (10.1186/s12889-018-5621-4) contains supplementary material, which is available to authorized users.

The differentiated effects of health on political participation

Background

Several studies have shown that an individual's state of health can significantly affect their decision to vote, but analysis is often only done on a single level of government; the national level. However, prior research has shown that the determining factors for voting can differ according to the level of government being considered. Our analysis is the first attempt to take a comprehensive look at the magnitude of health and political participation in a same country on different levels.

Methods

Based on Canadian General Social Survey-Social Identity (2013; N = 27 695), we examined both the direct and indirect effect of self-rated health and self-rated mental health on (1) national voter turnout; (2) local voter turnout and (3) other forms of political participation.

Results

The results show that health has a different effect on turnout depending the level of government. While health certainly affects participation on both levels of government, general health significantly affects national electoral participation levels while mental health more significantly affects electoral participation on the municipal level. Additionally, people who consider their mental health to be poorer, are more likely to sign an online petition.

Conclusions

These elements highlight the necessity of questioning the cost of voting according to the level of government, and that further research into the potential offered by Internet and remote voting, is worthwhile-despite the opinions of critics who eschew these means of voting.

Self-rated Health and Mortality due to Kidney Diseases: Racial Differences in the United States

BACKGROUND

Although the role of self-rated health (SRH) on all-cause mortality is known, we still do not know whether SRH predicts death due to specific causes (e.g., kidney disease). The current study aimed to compare Blacks and Whites on the association between SRH and mortality due to kidney diseases. A nationally representative sample of adults in the United States was used to provide generalizable results to the United States population.

MATERIALS AND METHODS

The Americans' Changing Lives study is a nationally representative cohort, conducted from 1986-2011. The study followed 3361 Blacks (n = 1156) and Whites (n = 2205) for up to 25 years. The outcome was time to death due to kidney diseases, derived from death certificates and the National Death Index. Cox proportional hazards models were used to test whether race and baseline SRH interact on mortality due to kidney diseases.

RESULTS

In the pooled sample, poor SRH (odds ratio [OR] = 2.29, 95% confidence interval [CI] = 1.24-4.24) was associated with an increased risk of death due to kidney diseases over the follow-up period. Baseline SRH also showed a significant interaction with race on the outcome (OR = 0.49, 95% CI = 0.25-0.96), suggesting a stronger effect of SRH on deaths due to kidney diseases for Whites compared to Blacks. In race-specific models, poor SRH at baseline increased risk of death due to kidney diseases among Whites (OR = 2.23, 95% CI = 1.14-4.34) but not Blacks (OR = 1.14, 95% CI = 0.54-2.41).

CONCLUSIONS

Blacks and Whites differ regarding the predictive role of baseline SRH on death due to kidney diseases over time. Factors such as SRH better predict risk of mortality for Whites than for Blacks.

Psychiatric Disorders Differently Correlate with Physical Self-Rated Health across Ethnic Groups

In this study, we compared 10 ethnic groups for associations between psychiatric disorders and physical self-rated health (SRH) in the United States. Data came from the Collaborative Psychiatric Epidemiology Surveys (CPES), 2001-2003. The study included 7587 non-Latino White, 4746 African American, 1442 Mexican, 1106 other Hispanic, 656 other Asian, 600 Chinese, 577 Cuban, 520 Vietnamese, 508 Filipino, and 495 Puerto Rican individuals. The Composite International Diagnostic Interview (CIDI) was used to measure psychiatric disorders, including major depressive disorder (MDD), general anxiety disorder (GAD), social phobia, panic disorder, post-traumatic stress disorder (PTSD), alcohol abuse, and binge eating disorders. A single-item measure was used to estimate physical SRH. Demographic (age and gender) and socioeconomic (education and income) factors were also measured. Unadjusted and adjusted correlations between psychiatric disorders and physical SRH were calculated. Major ethnic variations were found in the correlation between psychiatric disorders and physical SRH; as well as the role of demographic and socioeconomic status (SES) factors in explaining these associations. non-Hispanic Whites, Cubans, and African Americans showed more correlations between psychiatric disorders and physical SRH than other ethnic groups. In non-Hispanic Whites, the associations between psychiatric disorders and physical SRH were explained by demographic factors. In African Americans, the link between psychiatric disorders and poor physical SRH were explained by SES indicators. In conclusion, although single-item physical SRH measures are traditionally assumed to reflect the physical health needs of populations, they may also indicate psychiatric disorders in some ethnic groups, such as non-Hispanic Whites, Cubans, and African Americans. Demographic and socioeconomic factors also have differential roles in explaining the link between psychiatric disorders and physical SRH. Physical SRH does not exclusively reflect physical health, and it may be more biased by mental health across some ethnic groups.

Older adults rate their mental health better than their general health

Background.

Self-rated health (SRH) shows strong associations with measures of health and well-being. Increasingly, studies have used self-rated mental health (SRMH) as a predictor of various outcomes, independently or together with SRH. Research has not firmly established if and how these two constructs differ. We sought to characterize the relationship between SRH and SRMH, and to determine how this relationship differed across subgroups defined by sociodemographic and health-related characteristics.

Design and methods.

We analyzed data from the 2012 CAHPS Medicare Advantage Survey. SRH and SRMH ratings were crosstabulated to determine the distribution of responses across response categories. The expected joint probability distribution was computed and compared to the observed distribution. A constructed variable indicated whether SRMH was better, the same, or worse than SRH. We analyzed the distribution of this variable across various subgroups defined by sociodemographic and health-related factors.

Results.

A total of 114,905 Medicare Advantage beneficiaries responded to both the SRH and SRMH questions. Both in general and within all subgroups, SRMH was usually rated as better than SRH, and rarely as worse.

Conclusions.

Within a large group of Medicare recipients, the overwhelming trend was for recipients to rate their mental health as at least as good as their overall health, regardless of any sociodemographic and health-related factors. This finding of a shifted distribution encourages caution in the analytic use of selfrated mental health, particularly the use of both SRH and SRMH for adjustment. Additional research is needed to help clarify the complex relationship between these variables.

Demographic and Socioeconomic Determinants of Physical and Mental Self-rated Health Across 10 Ethnic Groups in the United States

Background and aims

The aim of this study was to explore ethnic differences in demographic and socioeconomic determinants of poor physical and mental self-rated health (SRH) in the United States.

Methods

We used data from the Collaborative Psychiatric Epidemiology Surveys (CPES) 2001-2003, which included a national household probability sample of 18237 individuals including 520 Vietnamese, 508 Filipino, 600 Chinese, 656 other Asian, 577 Cuban, 495 Puerto Rican, 1442 Mexican, 1106 other Hispanic, 4746 African American, and 7587 non-Latino Whites. Demographic factors (age and gender), socioeconomic factors (education and income), body mass index (BMI), and physical and mental SRH were measured. Pearson correlation was used to explore correlates of physical and mental SRH across ethnic groups.

Results

While age was positively associated with poor physical SRH, ethnic groups differed in the effect of age on mental SRH. Age was positively associated with mental SRH among Vietnamese, Filipino, Chinese, Cuban, Puerto Rican, and African American individuals, but this was not so for other Asians, Mexicans, other Hispanics, and non-Hispanic Whites. Chinese and Cubans were the only groups where female gender was associated with poor physical and mental SRH. With other Asians being an exception, education and income were protective against poor physical and mental SRH in all ethnic groups. Ethnic groups also differed in how their mental and physical SRH reflect BMI.

Conclusion

Demographic and socioeconomic determinants of physical and mental SRH vary across ethnic groups. Poor physical and mental SRH are differently shaped by social determinants across ethnic groups. These ethnic differences may cause bias in health measurement in ethnically diverse populations.

Mental Health Service Utilization among Black Youth; Psychosocial Determinants in a National Sample

Racial disparity in mental health service utilization (MHSU) persists, and youths are not an exception to the underutilization of services. Very limited research has been conducted on the determinants of MHSU among Black youth. Using a national sample of American Black youth, the current study investigated the association between demographic factors, socioeconomic status, psychiatric disorders, and self-rated health (SRH) on MHSU. We also tested the heterogeneity of the effects of SRH and psychiatric disorders based on ethnicity, gender, and their intersection. We used data from the National Survey of American Life-Adolescents supplement (NSAL-A), 2003–2004. The study enrolled 1170 Black youth between 13 and 17 years old including 810 African Americans and 360 Caribbean Blacks. Age, gender, ethnicity, socioeconomic status, SRH, 12-month psychiatric disorders (Composite International Diagnostic Interview modified version), and MHSU (last year) were measured. Logistic regressions were used for data analysis. Ethnicity (odds ratio (OR) = 0.33, 95% confidence interval (CI) = 0.17–0.65), subjective socioeconomic status (OR = 1.43, 95% CI = 1.09–1.88), SRH (OR = 2.45, 95% CI = 1.00–6.37), and psychiatric disorders (OR = 2.17, 95% CI = 1.05–4.48) were associated with MHSU. Age, gender, and objective socioeconomic status were not associated with MHSU. Gender and ethnicity did not interact with SRH and psychiatric disorders on MHSU. Actual and perceived need both universally influence Black youths’ likelihood of MHSU, regardless of their ethnicity and gender. Ethnicity and perceived socioeconomic status also play unique roles in MHSU. Future research is needed to understand pathways to MHSU for Black youth who both have and perceive mental health needs. There is also a need to find ways to promote MHSU for those with a need for mental health services.

Gender differences in the predictive role of self-rated health on short-term risk of mortality among older adults

OBJECTIVES

Despite the well-established association between self-rated health and mortality, research findings have been inconsistent regarding how men and women differ on this link. Using a national sample in the United States, this study compared American male and female older adults for the predictive role of baseline self-rated health on the short-term risk of mortality.

METHODS

This longitudinal study followed 1500 older adults (573 men (38.2%) and 927 women (61.8%)) aged 66 years or older for 3 years from 2001 to 2004. The main predictor of interest was self-rated health, which was measured using a single item in 2001. The outcome was the risk of all-cause mortality during the 3-year follow-up period. Demographic factors (race and age), socio-economic factors (education and marital status), and health behaviors (smoking and drinking) were covariates. Gender was the focal moderator. We ran logistic regression models in the pooled sample and also stratified by gender, with self-rated health treated as either nominal variables, poor compared to other levels (i.e. fair, good, or excellent) or excellent compared to other levels (i.e. good, fair, or poor), or an ordinal variable.

RESULTS

In the pooled sample, baseline self-rated health predicted mortality risk, regardless of how the variable was treated. We found a significant interaction between gender and poor self-rated health, indicating a stronger effect of poor self-rated health on mortality risk for men compared to women. Gender did not interact with excellent self-rated health on mortality.

CONCLUSION

Perceived poor self-rated health better reflects risk of mortality over a short period of time for older men compared to older women. Clinicians may need to take poor self-rated health of older men very seriously. Future research should test whether the differential predictive validity of self-rated health based on gender is due to a different meaning of poor self-rated health for older men and women and whether poor self-rated health reflects different health statuses based on gender.

Canada's residential school system: measuring the intergenerational impact of familial attendance on health and mental health outcomes

BACKGROUND

We estimate the intergenerational relationship between the residential school (RS) attendance of an older generation family member and the physical and mental health of a younger generation.

METHODS

Data from the 2012 Aboriginal Peoples Survey (APS) is used to examine the relationship between previous generational family RS attendance and the current physical and mental health of off-reserve First Nations, Métis and Inuit Canadians. Five outcomes are considered (self-perceived health, mental health, distress, suicidal ideation and suicide attempt). Direct (univariate) and indirect (multivariate) effects of family RS attendance are examined for each dependent variable. We draw from the general and indigenous-specific social determinants of health literature to inform the construction of our models.

RESULTS

Familial RS attendance is shown to affect directly all five health and mental health outcomes, and is associated with lower self-perceived health and mental health, and a higher risk for distress and suicidal behaviours. Background, mediating and structural-level variables influence the strength of association. Odds of being in lower self-perceived health remain statistically significantly higher with the presence of familial attendance of RS when controlling for all covariates. The odds of having had a suicide attempt within the past 12 months remain twice as high for those with familial attendance of RS.

CONCLUSIONS

Health disparities exist between indigenous and non-indigenous Canadians, an important source of which is a family history of RS attendance. This has implications for clinical practice and Canadian public health, as well as countries with similar historical legacies.

Residential segregation, dividing walls and mental health: a population-based record linkage study

Background

Neighbourhood segregation has been described as a fundamental determinant of physical health, but literature on its effect on mental health is less clear. While most previous research has relied on conceptualised measures of segregation, Northern Ireland is unique as it contains physical manifestations of segregation in the form of segregation barriers (or ‘peacelines’) which can be used to accurately identify residential segregation.

Methods

We used population-wide health record data on over 1.3 million individuals, to analyse the effect of residential segregation, measured by both the formal Dissimilarity Index and by proximity to a segregation barrier, on the likelihood of poor mental health.

Results

Using multilevel logistic regression models, we found residential segregation measured by the Dissimilarity Index poses no additional risk to the likelihood of poor mental health after adjustment for area-level deprivation. However, residence in an area segregated by a ‘peaceline’ increases the likelihood of antidepressant medication by 19% (OR=1.19, 95% CI 1.14 to 1.23) and anxiolytic medication by 39% (OR=1.39, 95% CI 1.32 to 1.48), even after adjustment for gender, age, conurbation, deprivation and crime.

Conclusions

Living in an area segregated by a ‘peaceline’ is detrimental to mental health suggesting segregated areas characterised by a heightened sense of ‘other’ pose a greater risk to mental health. The difference in results based on segregation measure highlights the importance of choice of measure when studying segregation.

Psychological Resources and Self-rated Health Status on Fifty-year-old Women

Objectives

The aim of the study is to expand knowledge about predictors of the self-rated health and mental health in fifty-year-old women. The study exploring links between self-rated mental/health and optimism, self-esteem, acceptance of the changes in physical look and some sociodemographic factors.

Methods

Participants in this study were 209 women aged 50 to 59. A single-items measures of self-rated health and mental health were used. Self-esteem was measured through the Rosenberg Self-Esteem Scale; optimism through the OPEB questionnaire; acceptance of the changes in physical look was rated by respondents on a seven-point scale. Participants were also asked about weight loss attempts, the amount of leisure time, and going on vacation during the last year.

Results

Predictors of the self-rated mental health in women in the age range of 50 to 59 were: acceptance of the changes in physical look, self-esteem and optimism. Predictors of the self-rated health were: optimism and acceptance of the changes in physical look.

Conclusion

Optimism and acceptance of the changes in physical look seem to be important factors that may impact subjective health both physical and mental of women in their 50s. The role of the leisure time and vacation in instilling the subjective health requires further investigation.

Black-white difference in long-term predictive power of self-rated health on all-cause mortality in United States

PURPOSE

Despite the well-established association between self-rated health (SRH) and mortality, limited information exists on Black-White differences in this link. Using a nationally representative sample of adults in the United States, the present study had four aims: (1) to assess whether the association between baseline SRH and all-cause mortality over a long follow-up differs for blacks and whites, (2) to test whether any race difference in the SRH-mortality link depends on how the SRH variable is treated (e.g., nominal, dichotomous, continuous), (3) to test if the SRH-mortality link or any differences in the association by race are explained by differences in objective health measures (chronic medical conditions [CMC]), and (4) to assess whether these associations vary by gender.

METHODS

Data came from the Americans' Changing Lives Study, a nationally representative longitudinal cohort of U.S. adults 25 years and older with up to 25 years of follow-up. The study followed 3361 blacks or whites for all-cause mortality between 1986 and 2011. The predictor of interest was a single-item measure of SRH in 1986, treated as a nominal, dichotomous (fair/poor vs. excellent/very good/good), and continuous variable. Confounders included baseline age, education, income, depressive symptoms, and CMC. Race (black vs. white) was the focal effect modifier. We ran Cox proportional hazard models for the pooled sample and also stratified by race and gender, before and after adjusting for CMC.

RESULTS

Regardless of how SRH was treated and for both men and women, we found significant interactions between race and SRH, indicating a stronger predictive role of SRH for all-cause mortality among whites compared to blacks. Before adjustment for chronic medical conditions, lower SRH was associated with higher risk of mortality among blacks and whites, but after adjustment, the SRH-mortality association was no longer significant among blacks.

CONCLUSIONS

Baseline SRH continues to predict long-term mortality among white but not black Americans after adjustment for chronic medical conditions at baseline, and these patterns are similar for men and women. Future research should test whether the differential predictive validity of SRH across race groups arises because SRH reflects different aspects of health of black and white Americans.

Ethnic Differences in Separate and Additive Effects of Anxiety and Depression on Self-rated Mental Health Among Blacks

AIM

The aim of this study was to explore ethnic differences in the separate and additive effects of anxiety and depression on self-rated mental health (SRMH) of Blacks in the USA.

METHODS

With a cross-sectional design, we used data from a national household probability sample of African Americans (n = 3570) and Caribbean Blacks (n = 1621) who participated in the National Survey of American Life, 2001-2003. Demographic factors, socio-economic factors, 12-month general anxiety disorder (GAD) and major depressive disorder (MDD), and current SRMH were measured. In each ethnic group, three logistic regressions were used to assess the effects of GAD, MDD, and their combinations on SRMH.

RESULTS

Among African Americans, GAD and MDD had separate effects on SRMH. Among Caribbean Blacks, only MDD but not GAD had separate effect on SRMH. Among African Americans, when the combined effects of GAD and MDD were tested, GAD but not MDD was associated with SRMH.

CONCLUSION

The separate and additive effects of GAD and MDD on SRMH among Blacks depend on ethnicity. Although single-item SRMH measures are easy methods for the screening of mental health need, community-based programs that aim to meet the need for mental health services among Blacks in the USA should consider within-race ethnic differences in the applicability of such instruments.