How well do older adults recognise mental illness? A literature review

Factors Predicting Mental Health Literacy in Older Adults: A Community-Based Cross-Sectional Study

PURPOSE

To determine mental health literacy (MHL) levels of older adults and the predictive factors of MHL.

METHOD

This cross-sectional study was conducted between October and December 2022, with 410 older adults aged ≥65 years. A Personal Information Form and the Mental Health Literacy Scale were used for data collection. Independent samples t test, analysis of variance, and multiple linear regression were used to analyze the data.

RESULTS

Significant predictors of MHL in older adults were being aged 65 to 69 years, being female, being a university graduate, having an income more than expenses, receiving information from a health professional, interest in mental health, having friends or family members with mental illness, and good perception of health.

CONCLUSION

Older adults were found to have low levels of MHL. Mental health professionals should focus on community-based education and interventions to increase the MHL levels of older adults. [Journal of Psychosocial Nursing and Mental Health Services, xx(xx), xx-xx.].

Old Age Psychiatry

OBJECTIVE

Older Chinese people in New Zealand underutilise mental health services. Lack of recognition of mental health issues and awareness of available treatment is a potential barrier to accessing care. This study investigated depression literacy in older Chinese people.

METHOD

A convenience sample of 67 older Chinese people were presented a depression vignette and completed a depression literacy questionnaire.

RESULTS

There was a good rate (71.6%) of depression recognition, but no participant chose taking medication as the best method of help. There was a notable level of stigma among participants.

CONCLUSION

Older Chinese people would benefit from information regarding mental health conditions and their interventions. Strategies to deliver this information and de-stigmatise mental illness in the Chinese community which incorporate cultural values may be beneficial.

Meeting the Needs of Older Adults with Mental Ill-Health in Non-Psychiatric Care Settings: Self-Rated Confidence in Helping and its Co-Variates within a Multiprofessional Study Sample

In this paper we sought to explore health and social care professionals' self-rated confidence in helping older adults with mental ill-health in non-psychiatric care settings. A cross-sectional survey study was performed exploring the participants' (n = 480) confidence in helping. Confidence in helping was analyzed together with background characteristics and selected explanatory variables, such as the workplace and work experience of the participants, their personal experiences of and attitudes to mental ill-health, as well as their knowledge in mental ill-health among older adults, by means of descriptive statistics and logistic regression analysis. We found that approximately half (55%) of the participants were confident in helping older adults with mental ill-health. The odds ratios for being confident in helping were significantly associated to the workplace of the professionals, professionals' attitude to and experience of mental ill-health, and knowledge of mental health among older adults. To increase confidence in helping older adults with mental ill-health, we recommend confidence-building interventions, for example, educational programs, through which knowledge of mental health among older adults is increased and negative attitudes are challenged, especially within the context of specialist somatic healthcare.

Risk Prediction Models for Depression in Community-Dwelling Older Adults

OBJECTIVE

To develop streamlined Risk Prediction Models (Manto RPMs) for late-life depression.

DESIGN

Prospective study.

SETTING

The Survey of Health, Ageing and Retirement in Europe (SHARE) study.

PARTICIPANTS

Participants were community residing adults aged 55 years or older.

MEASUREMENTS

The outcome was presence of depression at a 2-year follow up evaluation. Risk factors were identified after a literature review of longitudinal studies. Separate RPMs were developed in the 29,116 participants who were not depressed at baseline and in the combined sample of 39,439 of non-depressed and depressed subjects. Models derived from the combined sample were used to develop a web-based risk calculator.

RESULTS

The authors identified 129 predictors of late-life depression after reviewing 227 studies. In non-depressed participants at baseline, the RPMs based on regression and Least Absolute Shrinkage and Selection Operator (LASSO) penalty (34 and 58 predictors, respectively) and the RPM based on Artificial Neural Networks (124 predictors) had a similar performance (AUC: 0.730-0.743). In the combined depressed and non-depressed participants at baseline, the RPM based on neural networks (35 predictors; AUC: 0.807; 95% CI: 0.80-0.82) and the model based on linear regression and LASSO penalty (32 predictors; AUC: 0.81; 95% CI: 0.79-0.82) had satisfactory accuracy.

CONCLUSIONS

The Manto RPMs can identify community-dwelling older individuals at risk for developing depression over 2 years. A web-based calculator based on the streamlined Manto model is freely available at https://manto.unife.it/ for use by individuals, clinicians, and policy makers and may be used to target prevention interventions at the individual and the population levels.

Exploring Barriers and Facilitators to Physical Activity during the COVID-19 Pandemic: A Qualitative Study

Quantitative data show that physical activity (PA) reduced during the COVID-19 pandemic, with differential impacts across demographic groups. Qualitative research is limited; thus, this study aimed to understand barriers and facilitators to PA during the pandemic, focusing on groups more likely to have been affected by restrictions, and to map these onto the capability, opportunity, motivation model of behaviour (COM-B). One-to-one interviews were conducted with younger (aged 18–24) and older adults (aged 70+), those with long-term physical or mental health conditions, and parents of young children. Themes were identified using reflexive thematic analysis and were mapped onto COM-B domains. A total of 116 participants contributed (aged 18–93, 61% female, 71% White British). Key themes were the importance of the outdoor environment, impact of COVID-19 restrictions, fear of contracting COVID-19, and level of engagement with home exercise. Caring responsibilities and conflicting priorities were a barrier. PA as a method of socialising, establishing new routines, and the importance of PA for protecting mental health were motivators. Most themes mapped onto the physical opportunity (environmental factors) and reflective motivation (evaluations/plans) COM-B domains. Future interventions should target these domains during pandemics (e.g., adapting PA guidance depending on location and giving education on the health benefits of PA).

Government-subsidised mental health services are underused in Australian residential aged care facilities

ObjectiveTo describe patterns of use of the available Government-subsidised mental health services among people living in Australian residential aged care facilities.MethodsA retrospective population-based trend analysis was conducted, including all non-Indigenous people living in an Australian facility between 2012 and 2017. Adjusted incidence proportions and trends were estimated for four groups of mental health services.ResultsThe use of Medicare-subsidised mental health services was very low overall. The proportion of residents who accessed primary care mental health services increased from 1.3% in 2012/2013 to 2.4% in 2016/2017, while psychiatry service use increased from 1.9 to 2.3%. Claims for clinical psychology increased from 0.18 to 0.26%, and claims for a registered psychologist, occupational therapist or social worker rose from 0.45 to 1.2%. People with dementia were less likely than people without dementia to access all services aside from psychiatry services.ConclusionsLess than 3% of residents accessed funding subsidies for mental health services and people with dementia experienced pronounced barriers to service access. Mental health care is a pillar of the publicly-funded health system in Australia, and low use of these services among aged care residents indicates a need for organisational and policy changes to improve access.

Perceived Need, Mental Health Literacy, Neuroticism and Self- Stigma Predict Mental Health Service Use Among Older Adults

OBJECTIVES

Older adults are the least likely age group to seek mental health services. However, few studies have explored a comprehensive range of sociodemographic, psychological, and social barriers and facilitators to seeking treatment in later life.

METHODS

A cross-sectional, national sample of Canadian older adults (55+, N = 2,745) completed an online survey including reliable and valid measures of predisposing, enabling, and need characteristics, based on Andersen's behavioral model of health, as well as self-reported use of mental health services. Univariate and hierarchical logistic regressions predicted past 5-year mental health service use.

RESULTS

Mental health service use was most strongly and consistently associated with greater perceived need (OR = 11.48) and mental health literacy (OR = 2.16). Less self-stigma of seeking help (OR = .65) and greater neuroticism (OR = 1.57) also predicted help-seeking in our final model, although their effects were not as strong or consistent across gender, marital status, and age subgroups.

CONCLUSIONS

The need category was crucial to seeking help, but predisposing psychological factors were also significant barriers to treatment.

CLINICAL IMPLICATIONS

Interventions that target older adults high in neuroticism by improving perceptions of need for treatment, mental health literacy, and self-stigma of seeking help may be particularly effective ways of improving access to mental health services.

Two Decades of Change in Living Arrangements and Health of Middle-Aged and Older Adults in the U.S., 1997-2018

Although living arrangements of American adults have changed significantly over the past decades, we know little about changes in the association between living arrangements and health. This study uses pooled data from 1997 to 2018 National Health Interview Survey to examine trends in living arrangements and health among middle-aged (ages 40-64) and older adults (ages 65-84). The results show that increasing share of middle-aged and older adults are living with persons other than their spouses or cohabiting partners, and this living arrangement is increasingly associated with poor health. Co-residence with persons other than spouses or cohabiting partners is particularly related to serious psychological distress among older adult women. Living alone in midlife is increasingly associated with poor health, but there has been little change in health of older adults living alone. The findings call for targeted policies and programs to address the needs of middle-aged and older adults in diverse living arrangements.

The role social diversity plays in enhancing mental health literacy among the elderly

Purpose

Mental health literacy (MHL) is the ability to understand health information originating from different sources. Little is known about ethnic differences in sources for health information, and the effect these differences has on elderly MHL. In this paper, we focus on the social networks (i.e. social connections) of elderly people from different ethnic groups, and investigate the effect these networks have on MHL. Specifically, we focus on the ethnic diversity of one's peers (ethnic diversity) as a network characteristic that can interplay with his\her MHL.

Design/methodology/approach

The data used in this study were gathered using a survey among elderly (over the age of 60) Native Israeli Jews (N = 147) and Immigrant Jews from the Former Soviet Union (FSU, N = 131). The survey was used to assess our participants MHL, online and offline sources of mental health information and mental health service utilization. Interviews were also conducted with each participant. The interview purpose was to map the participants' social network (using a sociogram), while indicating the attributes of the participant's peers (age, gender, ethnicity, etc.) and the nature of the interaction (online vs. offline, strength of the tie, etc.). A set of hierarchal regression analyses were then used to examine which social network attributes are correlated with MHL levels.

Findings

Our findings shows that ethnic diversity within the social networks of Immigrants from the FSU contributed to their MHL more so than for native-born Jews. Specifically, face to face maintained connections with individuals from diverse ethnic groups lead to increased knowledge about how to search for mental health information. Online maintained connections with individuals from diverse ethnic groups, lead to increase attitudes that promote recognition of mental health related issues and appropriate help-seeking.

Originality/value

Understanding the interplay between the ethnic diversity among one's peers and his/her MHL offers an important additional prism of examining MHL; moving beyond the individual's characteristics and examining his/her social connections as well. The relevancy of these findings for reducing MHL inequalities between native-born and elderly migrants, as well as for ethnic minorities is discussed.

The Prevalence and Characteristics of Psychotropic-Related Hospitalizations in Older People: A Systematic Review and Meta-Analysis

OBJECTIVES

To assess the prevalence and characteristics of psychotropic medication-related hospitalizations in older people.

DESIGN

Systematic review with meta-analysis.

SETTING AND PARTICIPANTS

Older adults (≥65 years of age) with psychotropic-related hospitalizations.

METHODS

A search of published literature was performed in Medline, Embase, CINAHL, and Scopus from 2010 to March 2020. Three authors independently screened titles, abstracts, and full texts of relevant studies for relevance. Two authors independently extracted full text data, including characteristics, measures of causality, prevalence data, and performed quality assessment. A meta-analysis was conducted to estimate pooled prevalence and 95% confidence intervals (CIs) of psychotropic-related hospitalizations using random effects models. Heterogeneity was explored using subgroup analyses.

RESULTS

Of 815 potentially relevant studies, 11 were included in the final analysis. Five studies were cross-sectional studies, 5 were cohort studies, and 1 was a case control study. The majority of studies were rated as good quality. Psychotropic medications contributed to 2.1% (95% CI 1.2%-3.3%) of total hospitalizations and 11.3% (95% CI 8.2%-14.8%) of adverse drug event-related hospitalizations. The main psychotropic medications attributable to hospitalizations were antidepressants, hypnotics, sedatives, and antipsychotics.

CONCLUSIONS AND IMPLICATIONS

Psychotropic medications are a significant contributor to hospitalizations in older adults. The risk of hospitalization was greatest for those taking antidepressants, antipsychotics, hypnotics, and sedatives. Future studies should aim to address specific medication subgroups and implement uniform adverse drug event-related classification systems to improve comparability across studies.