Mental health outcomes, literacy and service provision in low- and middle-income settings: a systematic review of the Democratic Republic of the Congo.

In the Democratic Republic of the Congo (DRC), the prevalence of mental health issues could be greater than in other low-income and middle-income countries because of major risk factors related to armed conflicts and poverty. Given that mental health is an essential component of health, it is surprising that no systematic evaluation of mental health in the DRC has yet been undertaken. This study aims to undertake the first systematic review of mental health literacy and service provision in the DRC, to bridge this gap and inform those who need to develop an evidence base. This could support policymakers in tackling the issues related to limited mental health systems and service provision in DRC. Following Cochrane and PRISMA guidelines, a systematic (Web of Science, Medline, Public Health, PsycINFO, and Google Scholar) search was conducted (January 2000 and August 2023). Combinations of key blocks of terms were used in the search such as DRC, war zone, mental health, post-traumatic stress disorder (PTSD), anxiety, depression, sexual violence, war trauma, resilience, mental health systems and service provision. We followed additional sources from reference lists of included studies. Screening was completed in two stages: title and abstract search, and full-text screening for relevance and quality. Overall, 50 studies were included in the review; the majority of studies (n = 31) were conducted in the Eastern region of the DRC, a region devastated by war and sexual violence. Different instruments were used to measure participants' mental health such as the Hopkins Symptoms Checklist (HSCL-25), The Harvard Trauma Questionnaire, Patient Health Questionnaire (PHQ-9); General Anxiety Disorder (GAD-7), and Positive and Negative Symptoms Scale (PANSS). Our study found that wartime sexual violence and extreme poverty are highly traumatic, and cause multiple, long-term mental health difficulties. We found that depression, anxiety, and PTSD were the most common problems in the DRC. Psychosocial interventions such as group therapy, family support, and socio-economic support were effective in reducing anxiety, depression, and PTSD symptoms. This systematic review calls attention to the need to support sexual violence survivors and many other Congolese people affected by traumatic events. This review also highlights the need for validating culturally appropriate measures, and the need for well-designed controlled intervention studies in low-income settings such as the DRC. Better public mental health systems and service provision could help to improve community cohesion, human resilience, and mental wellbeing. There is also an urgent need to address wider social issues such as poverty, stigma, and gender inequality in the DRC.

Participation in leisure activities and quality of life of people with psychosis in England: a multi-site cross-sectional study.

BACKGROUND: Leisure activities can improve quality of life in the general population. For people with psychosis, negative symptoms (e.g. being unmotivated, difficulty in sticking with activities) are often a barrier to engaging in social leisure activities. However, we do not know if participation in leisure activities is associated with quality of life in this group and, whether psychosocial interventions should aim to increase leisure activities. AIM: This study investigates participation in social leisure activities of people with psychosis and whether their participation is associated with better quality of life. METHODS: A cross-sectional survey was conducted in 6 NHS mental health trusts. Adults aged 18-65 (N = 533) with a diagnosis of a psychosis-related condition (ICD-10 F20-29) were recruited from outpatient secondary mental health services. Several measures were used including an adapted version of the Time Use Survey (TUS), the Social contacts assessment (SCA) and Manchester Short Assessment of Quality of Life (MANSA). A Structural Equation Model (SEM) was used to explore the relationships between participation in leisure activities and quality of life, and whether social contacts mediated the link. RESULTS: Participants attended an average of 2.42 (SD = 1.47) leisure activities in the last 7 days. Their quality of life increased with the number of leisure activities they attended. Participation in leisure activities was positively associated with quality of life in people with psychosis (B = 0.104, SE = 0.051, p = 0.042, 95% CI [0.003 to 0.204]). Leisure activities predicted social contacts, but the link between social contacts and the quality of life was not significant. After controlling for sociodemographic factors, being female and unemployed were negatively linked with quality of life (B = - 0.101, SE = 0.048, p = 0.036, 95% CI [- 0.196 to - 0.006; B = - 0.207, SE = 0.050, p = 0.001, 95% CI [- 0.305 to - 0.108, respectively]. CONCLUSION: People with psychosis who attend more leisure activities have a higher quality of life. Quality of life was lower amongst female and unemployed participants who attended leisure activities. Intervention which helps improve participation in leisure activities may be beneficial for people with psychosis. Trial registration number ISRCTN15815862.

Are COVID-19's restrictive measures associated with people's quality of life and the prevalence of anxiety and depression in Kinshasa in the Democratic Republic of Congo?

Background: The spread of COVID-19 and the economic repercussions of several restrictive measures have worsened the lives of the Congolese and caused panic, fear, and anxiety. No study has yet examined the effect COVID-19's restrictive measures had on the quality of life in the Congo. Aims: The purpose of this study is to determine if the restrictive measures of COVID-19 are associated with the quality of life and the prevalence of anxiety and depression in Kinshasa. Methods: A cross-sectional survey was conducted in seventeen Kinshasa municipalities. N=100 adults over the age of 18 were recruited (41 females, 58 males and 1 prefer not). Social Contacts Assessment (SCA), Time Use Survey (TUS), Manchester Short Assessment of quality of life (MANSA), Health status EQ-5D-3L, UCLA Loneliness Scale; Patient Health Questionnaire (PHQ-9); General Anxiety Disorder (GAD-7) and COVID-19 related questions were utilized. We conducted descriptive statistics and multiple regression analyses. Results: suggest that depression and anxiety are more prevalent (PHQ-9 and GAD-7 scores were 9.1 (SD=6.8) and 8.5 (SD=6.1) respectively). Negative associations were found between the quality of life and living alone (B=-0.35, p=0.05) and mental health decline due to COVID- 19 (B=-0.30, p=0.04). Those who described themselves as less lonely reported a higher quality of life (B=0.34, p=0.03). Conclusions: Living alone is associated with a lower quality of life. This study fills a gap in the literature on public health in the DRC and low- and middle-income countries.

Are Happiness and Life Satisfaction Different Across Religious Groups? Exploring Determinants of Happiness and Life Satisfaction.

This study explores whether different religions experience different levels of happiness and life satisfaction and in case this is affected by country economic and cultural environment. Using World Value Survey (from 1981 to 2014), this study found that individual religiosity and country level of development play a significant role in shaping people's subjective well-being (SWB). Protestants, Buddhists and Roman Catholic were happier and most satisfied with their lives compared to other religious groups. Orthodox has the lowest SWB. Health status, household's financial satisfaction and freedom of choice are means by which religious groups and governments across the globe can improve the SWB of their citizens.

Income inequality and subjective well-being: a systematic review and meta-analysis.

BACKGROUND: Reducing income inequality is one possible approach to boost subjective well-being (SWB). Nevertheless, previous studies have reported positive, null and negative associations between income inequality and SWB. OBJECTIVES: This study reports the first systematic review and meta-analysis of the relationship between income inequality and SWB, and seeks to understand the heterogeneity in the literature. METHODS: This systematic review was conducted according to guidance (PRISMA and Cochrane Handbook) and searches (between January 1980 and October 2017) were carried out using Web of Science, Medline, Embase and PsycINFO databases. RESULTS: Thirty-nine studies were included in the review, but poor data reporting meant that only 24 studies were included in the meta-analysis. The narrative analysis of 39 studies found negative, positive and null associations between income inequality and SWB. The meta-analysis confirmed these findings. The overall association between income inequality and SWB was almost zero and not statistically significant (pooled r = - 0.01, 95% CI - 0.08 to 0.06; Q = 563.10, I 2 = 95.74%, p < 0.001), suggesting no association between income inequality and SWB. Subgroup analyses showed that the association between income inequality and SWB was moderated by the country economic development (i.e. developed countries: r = - 0.06, 95% CI -0.10 to -0.02 versus developing countries: r = 0.16, 95% CI 0.09-0.23). The association between income inequality and SWB was not influenced by: (a) the measure used to assess SWB, (b) geographic region, or (c) the way in which income inequality was operationalised. CONCLUSIONS: The association between income inequality and SWB is weak, complex and moderated by the country economic development.

How strongly related are health status and subjective well-being? Systematic review and meta-analysis.

Background: Health status is widely considered to be closely associated with subjective well-being (SWB), yet this assumption has not been tested rigorously. The aims of this first systematic review and meta-analysis are to examine the association between health status and SWB and to test whether any association is affected by key operational and methodological factors. Methods: A systematic search (January 1980-April 2017) using Web of Science, Medline, Embase, PsycInfo and Global health was conducted according to Cochrane and PRISMA guidelines. Meta-analyses using a random-effects model were performed. Results: Twenty nine studies were included and the pooled effect size of the association between health status and SWB was medium, statistically significant and positive (pooled r = 0.347, 95% CI = 0.309-0.385; Q = 691.51, I2 = 94.99%, P < 0.001). However, the association was significantly stronger: (i) when SWB was operationalised as life satisfaction (r = 0.365) as opposed to happiness (r = 0.307); (ii) among studies conducted in developing countries (r = 0.423) than it was in developed countries (r = 0.336) and (iii) when multiple items were used to assess health status and SWB (r = 0.353) as opposed to single items (r = 0.326). Conclusion: Improving people's health status may be one means by which governments can improve the SWB of their citizens. Life satisfaction might be preferred to happiness as a measure of SWB because it better captures the influence of health status.

Determinants of subjective well-being in representative samples of nations.

Background: Maximising the happiness and life satisfaction [i.e. subjective well-being (SWB)] of citizens is a fundamental goal of international governmental organizations' policies. In order to decide what policies should be pursued in order to improve SWB there is a need to identify what the key drivers of SWB are. However, to date most studies have been conducted in unrepresentative samples of largely 'developed' nations. Methods: Data from the latest World Value Survey (2010-14) and gathered 85 070 respondents from 59 countries (Age 1-99 years, Mean = 42, SD = 16.54; 52.29% females) were pooled for the analysis. A cross-sectional multilevel random effects model was performed where respondents were nested by country. Results: The average levels of SWB varied across countries and geographical regions. Among the lowest 10 SWB countries are nations from: Eastern Europe and Former Soviet Union and Middle East and North Africa. Factors driving SWB include state of health, financial satisfaction, freedom of choice, GDP per capita, income scale, importance of friends, leisure, being females, weekly religious attendance, unemployment and income inequality. Nevertheless, according to Cohen's rules of thumb, most of these factors have 'small' effect sizes. Thus, the main factors that possibly will improve the SWB of people across the globe are: state of health, household's financial satisfaction and freedom of choice. Conclusions: To maximize the well-being of the population, policy makers may focus on health status, household's financial satisfaction and emancipative values. The levels of prosperity and political stability appear to positively improve the SWB of people.