The impact of measurement differences on cross-country depression prevalence estimates: A latent transition analysis

Psychosocial Well-Being Differences Between the Young Old, Old-Old, and Oldest Old: A Global Comparison

OBJECTIVES

We investigate global differences in psychosocial well-being between older adult age groups.

METHODS

Using multinomial logistic regression, we analyzed 2018 data (n = 93,663) from 9 countries/regions in the Health and Retirement Study international family of studies to compare age group differences in depression, loneliness, and happiness.

RESULTS

Compared to the young old, the old-old reported more depression in Southern Europe, while the oldest old had higher risk in India and Southern Europe but lower risk in the United States. The old-old reported less loneliness in the United States but more in Southern Europe, while the oldest old had greater risk in Southern Europe. The old-old reported less happiness in Korea, while the oldest old had lower reports in Korea but higher reports in the United States.

DISCUSSION

The psychosocial well-being of the oldest old is exceptionally good in the United States but exceptionally poor in Southern Europe.

Sex Differences in Depression and Anxiety Symptoms: Measurement Invariance, Prevalence, and Symptom Heterogeneity Among University Students in South Africa

Adequate measurement is an essential component of the assessment of mental health disorders and symptoms such as depression and anxiety. The present study investigated sex-specific differences in the Patient Health Questionnaire-9 (PHQ-9) and Generalized Anxiety Disorder-7 (GAD-7). This comprehensive cross-sectional design study pursued four objectives: measurement invariance of PHQ-9 and GAD-7 between male and female; depression and anxiety prevalence differences; cross-sex differences in the relationship between depression and anxiety; and a comparison of symptom heterogeneity. A sample of 1966 (male = 592; female = 1374; mean age = 21 years) students from South Africa completed the PHQ-9 and the GAD-7. Data analyses for measurement invariance, latent class analysis, inter-variable correlations and group comparisons were conducted in Mplus. The two-dimensional PHQ-9 achieved scalar invariance, while the GAD-7 yielded metric invariance. The somatic and non-somatic latent dimensions of depression were compared and showed no significant difference between male and female groups. The positive relationship between depression and anxiety was also not significantly different between the two groups. While the PHQ-9 symptoms formed three classes in the male group, and four classes in the female group, the GAD-7 had the same number of classes (three) and a similar pattern between the two groups. These findings hold implications for the measurement, assessment and understanding of symptom manifestation and distribution, as well as the treatment of depression and anxiety in South Africa.

MicroRNA-139-5p acts as a suppressor gene for depression by targeting nuclear receptor subfamily 3, group C, member 1

MicroRNA-139-5p (miR-139-5p) is one of the most differentially expressed miRNAs in the brain between healthy people and depressed patients. However, its function in depression is unclear. Therefore, we investigated the function of miR-139-5p in depression. Here, miR-139-5p expression was found to be upregulated in the model group. MiR-139-5p inhibition could increase sucrose preference and decrease mice immobility time after chronic corticosterone (CORT) injection. Furthermore, compared with the antago-NC group, 3 weeks of antagomiR-139-5p treatment significantly decreased miR-139-5p level in model group hippocampus, increased sucrose preference index, reduced neuron damages, and enhanced the levels of nuclear receptor subfamily 3 group C member 1 (NR3C1), brain-derived neurotrophic factor (BDNF), phosphorylated/total tyrosine kinase receptor B (p-TrkB/TrkB), phosphorylated/total cAMP-response element-binding protein (p-CREB/CREB) and phosphorylated/total extracellular regulated protein kinases (p-ERK/ERK). Moreover, as a potential target for miR-139-5p, NR3C1 level was reduced by miR-139-5p mimic. Altogether, by activating the BDNF-TrkB signaling pathway, miR-139-5p inhibition plays an antidepressant-like role and might serve as an effective depression target (Fig. graphical abstract).

National characteristics associated with prevalence of depression and anxiety symptoms: a cross-sectional ecological study

BACKGROUND

Cross-national comparisons of the prevalence of mental disorders have relied on lay-administered interviews scored using complex diagnostic algorithms. However, this approach has led to some paradoxical findings, with more vulnerable countries showing lower prevalence, and its appropriateness for cross-national comparisons has been questioned. This study used an alternative method involving simple questions from social surveys to assess the prevalence of specific depression and anxiety symptoms, and investigated their association with national indicators of human development, quality of government, mental health resources, and mental health governance.

METHODS

The study used data on the prevalence of three symptoms indicating depression or anxiety: sadness, worry, and unhappiness. These data were taken from the Gallup World Poll (142 countries) and the World Values Survey (77 countries). National characteristics examined covered indicators of human development (income, life span, education, gender equality), quality of government (human freedom, perceptions of corruption), mental health resources (per capita numbers of psychiatrists, mental health nurses, psychologists, and social workers), and mental health governance (whether there is a national mental health plan and a mental health law).

RESULTS

All the human development and quality of government indicators, and some of the mental health resource indicators, were strongly associated with a lower prevalence of symptoms.

CONCLUSION

Populations of nations with higher human development, quality of government, and mental health resources have better mental health when measured by the prevalence of specific symptoms.

The epidemiology of psychiatric disorders in Africa: a scoping review

This scoping review of population-based epidemiological studies was done to provide background information on the prevalences and distribution of psychiatric disorders in Africa for calls to broaden diversity in psychiatric genetic studies. We searched PubMed, EMBASE, and Web of Science to retrieve relevant literature in English, French, and Portuguese from Jan 1, 1984, to Aug 18, 2020. In 36 studies from 12 African countries, the lifetime prevalence ranged from 3·3% to 9·8% for mood disorders, from 5·7% to 15·8% for anxiety disorders, from 3·7% to 13·3% for substance use disorders, and from 1·0% to 4·4% for psychotic disorders. Although the prevalence of mood and anxiety disorders appears to be lower than that observed in research outside the continent, we identified similar distributions by gender, although not by age or urbanicity. This review reveals gaps in epidemiological research on psychiatric disorders and opportunities to leverage existing epidemiological and genetic research within Africa to advance our understanding of psychiatric disorders. Studies that are methodologically comparable but diverse in geographical context are needed to advance psychiatric epidemiology and provide a foundation for understanding environmental risk in genetic studies of diverse populations globally.

Cross-national differences in the prevalence of mental illness symptoms: Evidence against the vulnerability paradox

OBJECTIVES

The vulnerability paradox refers to the observation that greater vulnerability is associated with higher prevalence of mental disorder at the individual level, but lower prevalence at the country level. The paradox is supported by studies estimating prevalence using the Composite International Diagnostic Interview and by suicide mortality data. However, cross-national studies using single-item measures of subjective well-being find no evidence of a paradox, with vulnerability being associated with lower well-being at both the individual and country levels. These findings suggest the potential usefulness of simple indicators for studying cross-national differences. In this study, we investigated the vulnerability paradox using cross-national data on the prevalence of three symptoms that indicate depression or anxiety: unhappiness, sadness and worry.

METHODS

The data on prevalence of unhappiness were taken from 77 countries in the World Values Survey 2017-2020 and data on prevalence of sadness and worry from 142 countries in the Gallup World Poll in 2018. Country vulnerability was measured by the Vulnerability Index and gross domestic product per capita. The data were analyzed using random-effects meta-analysis, with vulnerability measures as moderator variables.

RESULTS

For all three symptoms, prevalence was associated with higher Vulnerability Index and lower gross domestic product per capita. When both moderators were entered in meta-regressions, there were significant associations for the Vulnerability Index, but not for gross domestic product per capita.

CONCLUSION

These findings are inconsistent with the vulnerability paradox. They underscore that reducing mental disorders should be a priority in poorer nations and that further economic and social development may be an important contributor to achieving this.

Depression screening using mobile phone usage metadata: a machine learning approach

OBJECTIVE

Depression is currently the second most significant contributor to non-fatal disease burdens globally. While it is treatable, depression remains undiagnosed in many cases. As mobile phones have now become an integral part of daily life, this study examines the possibility of screening for depressive symptoms continuously based on patients' mobile usage patterns.

MATERIALS AND METHODS

412 research participants reported a range of their mobile usage statistics. Beck Depression Inventory-2nd ed (BDI-II) was used to measure the severity of depression among participants. A wide array of machine learning classification algorithms was trained to detect participants with depression symptoms (ie, BDI-II score ≥ 14). The relative importance of individual variables was additionally quantified.

RESULTS

Participants with depression were found to have fewer saved contacts on their devices, spend more time on their mobile devices to make and receive fewer and shorter calls, and send more text messages than participants without depression. The best model was a random forest classifier, which had an out-of-sample balanced accuracy of 0.768. The balanced accuracy increased to 0.811 when participants' age and gender were included.

DISCUSSIONS/CONCLUSION

The significant predictive power of mobile usage attributes implies that, by collecting mobile usage statistics, mental health mobile applications can continuously screen for depressive symptoms for initial diagnosis or for monitoring the progress of ongoing treatments. Moreover, the input variables used in this study were aggregated mobile usage metadata attributes, which has low privacy sensitivity making it more likely for patients to grant required application permissions.

National and regional prevalence of posttraumatic stress disorder in sub-Saharan Africa: A systematic review and meta-analysis

BACKGROUND

People living in sub-Saharan Africa (SSA) are disproportionately exposed to trauma and may be at increased risk for posttraumatic stress disorder (PTSD). However, a dearth of population-level representative data from SSA is a barrier to assessing PTSD. This manuscript sought to calculate pooled PTSD prevalence estimates from nationally and regionally representative surveys in SSA.

METHODS AND FINDINGS

The search was conducted in PubMed, Embase, PsycINFO, and PTSDpubs and was last run between October 18, 2019, and November 11, 2019. We included studies that were published in peer-reviewed journals; used probabilistic sampling methods and systematic PTSD assessments; and included ≥ 450 participants who were current residents of an SSA country, at least 50% of whom were aged between 15 and 65 years. The primary outcomes were point prevalence estimates of PTSD across all studies, and then within subgroups. The protocol was registered with the International Prospective Register of Systematic Reviews (PROSPERO) (registration number CRD42016029441). Out of 2,825 unique articles reviewed, 25 studies including a total of 58,887 eligible participants (54% female) in 10 out of the 48 countries in SSA were identified. Most studies enrolled any adult aged 18 years or older. However, some studies only enrolled specific age brackets or persons as young as 15 years old. Six studies were national surveys, and 19 were regional. There were 4 key findings in the meta-analysis: (1) the overall pooled prevalence of probable PTSD was 22% (95% CI 13%-32%), while the current prevalence-defined as 1 week to 1 month-was 25% (95% CI 16%-36%); (2) prevalence estimates were highly variable, ranging from 0% (95% CI 0%-0%) to 74% (95% CI 72%-76%); (3) conflict-unexposed regions had a pooled prevalence of probable PTSD of 8% (95% CI 3%-15%), while conflict-exposed regions had a pooled prevalence of probable PTSD of 30% (95% CI 21%-40%; p < 0.001); and (4) there was no significant difference in the pooled prevalence of PTSD for men and women. The primary limitations of our methodology are our exclusion of the following study types: those published in languages other than English, French, and Portuguese; smaller studies; those that focused on key populations; those that reported only on continuous measures of PTSD symptoms; and unpublished or non-peer-reviewed studies.

CONCLUSIONS

In this study, PTSD symptoms consistent with a probable diagnosis were found to be common in SSA, especially in regions exposed to armed conflict. However, these studies only represent data from 10 of the 48 SSA countries, and only 6 studies provided national-level data. Given the enormous heterogeneity expected across the continent, and also within countries and regions, this review cannot speak to rates of PTSD in any regions not included in this review. Thus, substantial gaps in our knowledge of PTSD prevalence in SSA remain. More research on population-level prevalence is needed to determine the burden of trauma symptoms and PTSD in SSA and to identify acceptable and feasible approaches to address this burden given limited mental healthcare resources.

Stability of clinically relevant depression symptoms in old-age across 11 cohorts: a multi-state study

AIMS

To study the temporal dynamics of depression symptom episodes in old-age and the related influence of risk factors.

METHODS

Data from 41 362 old adults (54.61% women; mean age = 75.30, SD = 6.20) from the Ageing Trajectories of Health - Longitudinal Opportunities and Synergies (ATHLOS) project were used. Depressive symptoms were followed over an 18-year period. A multi-state model, comprising three statuses (no depression, new clinically relevant episode of symptoms and episode persistence), was fitted. Multinomial regression was used to study the role of risk factors in status transition.

RESULTS

Almost 85% of participants showed no depression, but prevalence became lower over time (B = -0.25, P < 0.001). New episode point prevalence was over 5.30% with a significant probability of moving to persistence status (transition probability = 0.27). Episode persistence became evident in 9.86% of episode status transitions, with increasing rate over time (B = 0.54, P < 0.01). Loneliness was proven to be the strongest predictor of episode emergence (OR = 17.76) and persistence (OR = 5.93).

CONCLUSIONS

The course of depression tends to become chronic and unremitting in old-age. This study may help to plan interventions to tackle symptom escalation and risk factor influence.