Dimensionality and risk factors of the personal stigma of depression in adults aged 50 years and older at risk of depression

Objectives: Knowledge about the mechanism of the personal stigma of depression may inform strategies to reduce stigma and promote help-seeking. We examined the dimensionality and risk factors of the personal stigma of depression in older adults at risk of depression.Methods: Seven-hundred and one Hong Kong adults aged 50 years and older at risk of depression completed the personal stigma subscale of the depression Stigma Scale (DSS-personal) at two-time points. We used exploratory factor analysis (EFA) to explore the factor structure of DSS personal and confirmatory factor analysis to examine the model fit of the EFA-informed factor structure and structures proposed in previous studies. Regression analyses examined the relationships between risk factors and personal stigma dimensions.Results: Factor analyses identified a 3-factor structure of DSS-personal resembling the social-cognitive model consistent over time and included stereotype, prejudice, and discrimination (CFI = 0.95, TLI = 0.92, RMSEA = 0.05). Regression analyses indicated all stigma dimensions were associated with older age, less education, and no personal history of depression (B = -0.44 to 0.06); discrimination was also associated with more depressive symptoms (B = 0.10 to 0.12).Conclusion: Findings illustrated the potential theoretical underpinning of DSS-personal. Stigma reduction interventions could target and tailor to older adults with risk factors to enhance effectiveness and promote help-seeking.

Depression risk among community-dwelling older people is associated with perceived COVID-19 infection risk: effects of news report latency and focusing on number of infected cases

Awareness of COVID-19 infection risk and oscillation patterns ('waves') may affect older people's mental health. Empirical data from populations experiencing multiple waves of community outbreaks can inform guidance for maintaining mental health. This study aims to investigate the effects of COVID-19 infection risk and oscillations on depression among community-dwelling older people in Hong Kong.

A rolling cross-sectional telephone survey method was used. Screening for depression risk was conducted among 8,163 older people (age ≥ 60) using the Patient Health Questionnaire-2 (PHQ-2) from February to August 2020. The relationships between PHQ-2, COVID-19 infection risk proxies - change in newly infected cases and effective reproductive number (R_t), and oscillations - stage of a 'wave' reported in the media, were analysed using correlation and regression.

8.4% of survey respondents screened positive for depression risk. Being female (β = .08), having a pre-existing mental health issue (β = .21), change in newly infected cases (β = .05), and screening during the latency period before the media called out new waves (β = .03), contributed to higher depression risk (R² = .06, all p <.01).

While depression risk does not appear alarming in this sample, our results highlight that older people are sensitive to reporting of infection, particularly among those with existing mental health needs. Future public health communication should balance awareness of infection risks with mental health protection.

Depressive Symptoms and Coping Strategies in Community-Dwelling Older People Amidst the COVID-19 Pandemic: A Mixed-Method Study

This study aimed to examine depressive symptoms of community-dwelling older people amidst COVID-19 and explore how naturally occurring coping strategies were associated with depression. A mixed-method cross-sectional telephone survey was conducted with 375 older people aged 60 years and above between March and May 2020 in Hong Kong. Trained social workers interviewed participants and assessed depressive symptoms with the Patient Health Questionnaire-9 (PHQ-9). Attribute coding and thematic analysis were adopted for qualitative data analyses. Generalized linear models (GLM) were used to examine the effects of demographics, self-reported risk factors and coping strategies on PHQ-9 scores. Participants' average PHQ-9 score was 1.9 (SD = 2.9), suggesting a low risk for depression in general. Over half of the participants reported adaptive coping strategies, including learning new things, staying physically, mentally, and socially active, and having a positive mind-set. GLM results indicated that living with family members (other than spouse) and/or others, maladaptive coping, and self-reported risk factors were significantly associated with higher PHQ-9 scores, while adaptive coping was significantly associated with lower PHQ-9 scores. Our study contributed to the growing literature on older people's resilience and adaptive coping during the pandemic, and the results may have implications for mental health promotion and community care.

Use of Community-Based Participatory Research in Mental Health Studies With Older Adults: A Systematic Review

Community-based participatory research (CBPR), a bottom-up approach that community stakeholders and academics are involved equitably, is an effective approach for enhancing relevance and value in public health research and has gained popularity in recent decades. However, little is known about how CBPR can be used in mental health studies with older adults. This systematic review examined the current state of knowledge about how CBPR approach has been adopted in mental health research among older adults in different societies. According to the PRISMA guidelines, we searched five major databases and screened the literature using these criteria: 1) journal articles reporting use of CBPR in mental health research among older adults, 2) articles published in English language, 3) studies conducted in any settings with any mental health research. Initial search found 3,227 articles and preliminary screening identified 23 eligible articles. We found that around 90% of studies were conducted in the West. Most studies adopted CBPR to develop community-based mental health interventions or to revise current interventions or models while addressing the cultural needs of their studied population. Few studies adopted CBPR to evaluate existing mental health workshops or programmes. The extent of involvement of older adults in the CBPR approach varied across studies, from questionnaire design to programme evaluation. Our review uncovered ways of CBPR implementation across different societies and elements of successful implementation in CBPR practices in mental health research among older adults.

COVID-19 Outbreaks and Control Measures Are Associated With Depression Risk Among Older Adults

Local COVID-19 outbreaks and infection control measures may affect mental health in older persons. This study aims to investigate the effects of COVID-19 outbreaks and control measures on depression risk in community-dwelling older adults in Hong Kong. With rolling cross-sectional design, telephone screenings for depressive risk were conducted among 8163 older people using Patient Health Questionnaire-2 (PHQ-2) from February to September 2020. COVID-19 outbreaks across thirty weeks were measured using real-time effective reproductive number (Rt), infected new cases, and change of infected new cases by week. Infection control measures were assessed using four policy indices, including government response, government stringency, containment and health, and economic support. Linear regressions were used to test the associations of depression risk with COVID-19 outbreaks and control measures. We found that being female and higher Rt were associated with higher depression risk in the overall sample. In older adults without pre-existing mental health issues, higher depression risk were related to older age (t=-1.974, 95%CI[-0.006, 0.000], p<0.05), a higher level of government stringency (t=2.954, 95%CI[0.007, 0.033], p<0.01), and less stringent containment and health-related policy (t=-2.599, 95%CI[-0.041, -0.006], p<0.01). In older adults with pre-existing mental health issues, greater changes in newly infected cases were related to higher depression risk (t=2.813, 95%CI[0.002, 0.010], p<0.01). In conclusion, the effects of COVID-19 infection risk and control measures on depression risk differ among older Chinese by pre-existing mental health issues. Future public health communication could build on resilience to balance awareness of infection risks and mental health risks in older persons.

Mental Health Effects of COVID-19 in Older Adults Are Moderated by Existing Mental Health Needs and Emotional Support

Mitigating mental health consequences is one of the priorities for the society to advance, and the aim of this study is to investigate the mental health effects of COVID-19 in older adults and to explore risk and protective factors. Social workers recruited 722 older adults living in the community (mean age 73.6±8.4) from January 2020 to February 2021 in Hong Kong, and interviewed them for basic demographics (age, gender, education, and living status), mental health service use in recent three months (proxy for existing needs), number of people to talk to when feeling down (proxy for emotional support network), and assessed their depression using Patient Health Questionnaire-9 (PHQ-9). Impacts of COVID-19 were indicated by local daily effective reproductive number (Rt) and Nth wave since the start of the pandemic. Generalized linear models (GLM) were applied. Basic demographics were not associated with depression, existing mental health needs (β=2.99, p<.001), Rt (β=1.08, p<.05) and Nth wave (β=0.49, p<.05) were positively associated with depression, while emotional support network was negatively associated with depression (β=-2.47, p<.001). There was also a significant interaction between Rt and Nth wave on depression (β=0.69, p<.05), suggesting ongoing COVID-19 took a toll on older adults’ mental health. Three-way interactions between COVID-19 Rt, Nth wave and existing mental health needs (β=0.25, p<.05) and emotional support network (β=-0.12, p=.07) on depression further indicated that older adults with existing mental health needs warrant more attention, and wider emotional support network may buffer the impact of the pandemic on mental health.

Consuming Information Related to COVID-19 on Social Media Among Older Adults and Its Association With Anxiety, Social Trust in Information, and COVID-Safe Behaviors: Cross-sectional Telephone Survey

Background

COVID-19-related information on social media is overabundant and sometimes questionable, resulting in an “infodemic” during the pandemic. While previous studies suggest social media usage increases the risk of developing anxiety symptoms, how induced anxiety affects attitudes and behaviors is less discussed, let alone during a global pandemic. Little is known about the relationship between older adults using social media during a pandemic and their anxiety, their attitudes toward social trust in information, and behaviors to avoid contracting COVID-19.

Objective

The goal of this study was to investigate the associations between using social media for COVID-19-related information and anxiety symptoms as well as the mediation effect of anxiety symptoms on social trust in information and COVID-safe behaviors among older adults.

Methods

A cross-sectional telephone survey was conducted in Hong Kong between May and August 2020. A rapid warm-call protocol was developed to train social workers and volunteers from participant nongovernmental organizations to conduct the telephone surveys. Questions related to COVID-safe behaviors, social trust in information, social media use, anxiety and depressive symptoms, and sociodemographic information were asked. The number of confirmed COVID-19 cases at the community level was used to account for the risk of contracting COVID-19. Ordinary least squares regressions examined the associations between social media use and anxiety symptoms, and how they were associated with social trust in information and COVID-safe behaviors. Structural equation modeling further mapped out these relationships to identify the mediation effects of anxiety symptoms.

Results

This study collected information regarding 3421 adults aged 60 years and older. Use of social media for COVID-19-related information was associated with more anxiety symptoms and lower social trust in information but had no significant relationship with COVID-safe behaviors. Anxiety symptoms predicted lower social trust in information and higher COVID-safe behaviors. Lower social trust in information was predicted by using social media for COVID-19 information, mediated by anxiety symptoms, while no mediation effect was found for COVID-safe behaviors.

Conclusions

Older adults who rely on social media for COVID-19-related information exhibited more anxiety symptoms, while showing mixed effects on attitudes and behaviors. Social trust in information may be challenged by unverified and contradictory information online. The negligible impact on COVID-safe behaviors suggested that social media may have caused more confusion than consolidating a consistent effort against the pandemic. Media literacy education is recommended to promote critical evaluation of COVID-19-related information and responsible sharing among older adults.