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Background: Perinatal anxiety is associated with adverse outcomes for women and their infants. Women in low- and middle-income countries (LMIC) may be at higher risk of perinatal anxiety. We aimed to systematically review and synthesise the evidence on prevalence of perinatal anxiety in LMIC.Method: We searched MEDLINE, Embase, PscyhINFO, Global Health and Web of Science to identify studies assessing prevalence of perinatal anxiety in LMIC. Studies published since January 2016 were included. Screening and data extraction was conducted independently by two reviewers. Pooled prevalence estimates were calculated using random-effect meta-analyses and sources of heterogeneity explored through subgroup analyses and meta-regression.Results: We screened 9494 titles and abstracts, reviewed 700 full-texts and included 54 studies in the systematic review and meta-analysis. The pooled prevalence of self-reported anxiety symptoms was 29.2% (95%CI 24.5-34.2; I2 98.7%; 36 studies; n = 28,755) antenatally and 24.4% (95%CI 16.2-33.7; I2 98.5%; 15 studies; n = 6370) postnatally. The prevalence of clinically-diagnosed anxiety disorder was 8.1% (95%CI 4.4-12.8; I2 88.1% 5 studies; n = 1659) antenatally and 16.0% (95% CI 13.5-18.9; n = 113) postnatally.Limitations: Our search was limited to studies published since January 2016 in order to update a previous review on this topic.Conclusion: Perinatal anxiety represents a significant burden in LMIC, with one in four women experiencing symptoms during pregnancy or postpartum. Research remains lacking in a significant proportion of LMIC, particularly in the lowest income countries. Further research should guide application of screening tools in clinical settings to identify women with anxiety disorders in order to provide appropriate treatment. [ABSTRACT FROM AUTHOR]

Background: There is limited research examining the association between perceived stress and depression using large population-based datasets, particularly from low- and middle-income countries (LMICs). Thus, the aim of the study was to assess the association between perceived stress and depression in 45 LMICs.Methods: We analyzed cross-sectional, predominantly nationally representative data from the World Health Survey. A perceived stress score [range 2 (lowest stress) -10 (highest stress)] was computed based on two questions from the Perceived Stress Scale. DSM-IV depression was based on past 12-month symptoms. Multivariable logistic regression analysis (adjusting for sex and age) and meta-analysis were used to examine the associations.Results: Data on 232,243 adults aged ≥18 years were analyzed. The overall mean (SD) perceived stress score was 4.8 (2.2), while the prevalence of depression was 6.2% (95%CI=5.9%-6.5%). Overall, there was a linear increase in the prevalence of depression with increasing perceived stress scores [i.e., score 2 (1.9%) to score 10 (22.0%)]. Country-wise analysis showed that higher perceived stress levels were significantly associated with increased odds for depression in all countries with the exception of Georgia and Vietnam. The results of the meta-analysis showed that a one-unit increase in the perceived stress score was associated with a 1.40 (95%CI=1.35-1.44) times higher odds for depression.Limitations: The cross-sectional nature of the study limits interpretations about causation.Conclusion: Perceived stress is positively associated with depression across the globe. Future longitudinal and intervention studies from LMICs are warranted to elucidate the potential impact of addressing stress on depression in this setting. [ABSTRACT FROM AUTHOR]

Background: Little is known about the relationship between physical injury and depression in youths from low- and middle-income countries (LMICs). Therefore, the aim of this study was to analyze the association between serious physical injury and depressive symptoms among adolescents in 21 LMICs.Methods: Data from the Global School-based Student Health Survey (2003-2008) were analyzed. Serious physical injury and depressive symptoms in the past 12 months were assessed with self-report measures. The association between serious physical injury and depressive symptoms was examined using multivariable logistic regression analysis and meta-analysis.Results: The final sample consisted of 44,333 adolescents aged 12-15 years. After adjustment for sex, age, food insecurity, alcohol consumption, and country, an increasing number of serious physical injuries in the past 12 months was associated with increments in the odds for depressive symptoms in a dose-dependent fashion. Those who had ≥6 serious injuries (vs. no injuries) were 2.79 (95%CI=2.23-3.48) times more likely to have depressive symptoms. The pooled odds ratio (OR) (95%CI) for the association between at least one serious physical injury and depressive symptoms obtained by meta-analysis based on country-wise estimates was 1.83 (1.67-2.01) with a moderate level of between-country heterogeneity (I2=56.0%).Limitations: This was a cross-sectional study and causality of the association cannot be deduced.Conclusions: Serious physical injury may be a risk factor for depressive symptoms among adolescents in LMICs. Efforts to prevent physical injury and the provision of adequate health care for those who are injured may improve mental wellbeing among adolescents in this setting. [ABSTRACT FROM AUTHOR]

Background: Prior research has examined the association between low-income status and maternal depression; however, important questions remain in terms of trends in the prevalence of major depressive episodes (MDE) and treatment seeking among mothers in the United States. The objective of the present study is to examine trends in MDE among low-income mothers and explore perceived barriers to mental health treatment seeking.Methods: Using data from the National Survey on Drug Use and Health (NSDUH; 2005-2015), we examined the prevalence of past-year MDE among mothers living in poverty (0-99% federal poverty line [FPL]; n = 23,264) and near-poverty (100-200% FPL; n = 21,655). Consistent with the Center for Disease Control and Prevention (CDC) guidelines, we conducted survey-adjusted logistic regression analyses to examine the significance of survey year in relation to MDE while controlling for key social demographic correlates.Results: The overall decreasing MDE trend was found only among mothers in near-poverty, not mothers in poverty. Only for mothers in poverty, financial (AOR = 0.70, 95% CI = 0.52-0.95) and information barriers (AOR = 0.53, 95% CI = 0.39-0.73) were associated with mental health service use.Limitations: Self-reports of depressive symptoms and service receipt may have led to over or underreporting due to recall or social desirability bias. Additionally, NSDUH data are cross-sectional and thereby limit our ability to make causal inferences.Conclusions: Greater attention should be paid to the prevention/treatment of depression among mothers in poverty. Efforts may include expanding financial assistance for mental health service use and educational campaigns to increase awareness of services available. [ABSTRACT FROM AUTHOR]

Objective: Sedentary behaviour (SB) is harmful for health and well-being and may be associated with depression. However, little is known about the correlates of SB in people with depression. Thus, we investigated SB correlates among community-dwelling adults with depression in six low- and middle-income countries.Methods: Cross-sectional data from the World Health Organization's Study on Global Ageing and Adult Health were analyzed. The analysis was restricted to those with DSM-IV Depression or receiving depression treatment in the last 12 months. Self-reported time spent sedentary per day was the outcome. High SB was defined as ≥8 hours of SB per day. The correlates (sociodemographic and health-related) of SB were estimated by multivariable linear and logistic regression analyses.Results: In 2375 individuals with depression (mean age=48.0 years; 60.7% female), the prevalence of high SB was 11.1% (95%CI=8.2%-14.9%), while the mean (±SD) time spent sedentary was 215 (±192) minutes per day. Socio-demographic factors significantly associated with high SB were older age and being unmarried, being male and being unemployed. In other domains, no alcohol consumption, current smoking, mild cognitive impairment, bodily pain, arthritis, stroke, disability, and lower levels of social cohesion, COPD, visual impairment, and poor self-rated health was associated with greater time spent sedentary.Conclusion: Our data suggest that future interventions seeking to reduce SB among individuals with depression may target at risk groups based on identified sociodemographic correlates while the promotion of social cohesion may have the potential to increase the efficacy of future public health initiatives. From a clinical perspective, bodily pain and somatic co-morbidities need to be taken into account. [ABSTRACT FROM AUTHOR]

Background: Antenatal depression (AD) is a major public health issue but evidence regarding its prevalence and associated factors in low and middle-income countries (LMICs) is limited. The aim of the study was to estimate the prevalence and identify risk factors for AD among Brazilian pregnant women.Methods: All women living in the urban area of the city of Pelotas, Southern Brazil, with confirmed pregnancy and estimated delivery date in the year 2015, were invited to take part. Eligible pregnant women were recruited from health services. Symptoms of antenatal depression were assessed using the Edinburgh Postnatal Depression Scale (EPDS) by face-to-face interviews. A cutoff-point of 13 or more was used to define probable AD.Results: EPDS scores were available for 4130 women. The prevalence of AD was 16% (95%CI 14·9-17·1). After adjustment for potential confounders, the factors most strongly associated with higher EPDS scores were a previous history of depression (PR 2·81; 95%CI 2·44-3·25), high parity (PR 1·72; 95%CI 1·38-2·15 - ≥2 children vs. 1 child) and maternal education (PR 5·47; 95%CI 4·22-7·09 - 0-4 vs. ≥12 years of formal education).Limitations: EPDS was administered through face-to-face interviews rather than questionnaires and some women may have felt uncomfortable reporting their symptoms leading to underreporting and consequently underestimation of the prevalence found.Conclusion: AD prevalence is substantially higher in Brazil than in high-income countries (HICs) but similar to other LMICs. Our study identified relevant risk factors that may be potential targets to plan interventions, particularly a history of depression. [ABSTRACT FROM AUTHOR]

Background: In low income countries in Sub-Saharan Africa there are few validated tools to screen for common disabling mental disorders such as depression and general anxiety disorder (GAD).Objectives: We validated three screening tools: the Shona Symptom Questionnaire for common mental disorders (SSQ-14), the Patient Health Questionnaire for depression (PHQ-9), and the Generalized Anxiety Disorder questionnaire (GAD-7). The study participants were attendees at a primary health care clinic in Harare, Zimbabwe.Methods: Consecutive adults aged 18 and above attending the clinic were enrolled over a two-week period in September 2013. Trained research assistants administered the screening tools to eligible participants after obtaining written consent. Participants were then interviewed by one of four psychiatrists using the Structured Clinical Interview of the DSM-IV (SCID). Performance characteristics were calculated for each tool, against the SCID as the gold standard.Results: A total of 264 participants were enrolled, of whom 52 (20%) met the SCID criteria for depression alone, 97 (37%) for mixed depression and anxiety and 9 (3%) for anxiety alone. Of the 237 where HIV status was known, 165 (70%) were HIV positive. With the optimal cutoff of ≥9, the sensitivity and specificity for the SSQ-14 against a diagnosis of either depression and/or general anxiety were 84% (95%CI:78-89%) and 73% (95%CI:63-81%) respectively. Internal reliability was high (Cronbach α=0.74). The optimal cutoff for PHQ-9 was ≥11, which provided a sensitivity of 85% (95%CI:78-90%) and specificity of 69% (95%CI:59-77%) against a SCID diagnosis of depression (Cronbach α=0.86). The GAD-7 (optimal cutoff ≥10) had sensitivity and specificity of 89% (95%CI:81-94%) and 73% (95%CI:65-80%) respectively against a SCID diagnosis of GAD (Cronbach α=0.87).Conclusion: Screening tools for depression and GAD had good performance characteristics in a primary health care population in Zimbabwe with a high prevalence of HIV. These can be used for research and also in clinical care to screen patients who may benefit from treatment. [ABSTRACT FROM AUTHOR]

Background: Traumatic events and posttraumatic stress disorder (PTSD) are associated with increased risk for cardiopulmonary disease (CPD) in veterans, men, and primarily White populations. Less is known about trauma, PTSD, and CPD burden among low-income, racial minority residents who are at elevated risk for trauma and PTSD. It was hypothesized that traumatic events and PTSD would be significantly associated with CPD burden among low-income, racial minority residents.Methods: We evaluated cross-sectional relationships between traumatic events, PTSD, depression, and CPD burden in 251 low-income, urban, primarily Black adults diagnosed with heart failure. Data were analyzed using bivariate analyses, logistic and linear regression.Results: Forty-three percent endorsed at least one traumatic event. Twenty-one percent endorsed two or more traumatic events. In logistic regression analyses, traumatic events were associated with increased prevalence of coronary artery disease (adjusted odds=1.33, p<.05), hypertension (adjusted odds=1.28, p<.05), chronic obstructive pulmonary disease (adjusted odds=1.52, p<.01), and cardiac arrest (adjusted odds=1.27, p<.05). PTSD was also related to increased risk for chronic obstructive pulmonary disease (adjusted odds=1.22, p<.05) and was associated with earlier onset of heart failure (β=-.13, p<.05).Limitations: The study utilizes cross-sectional, self-report data.Conclusions: Findings support the link between traumatic events, PTSD, and CPD burden in low-income, primarily Black patients with heart failure. Depression appears to be less closely linked to CPD burden, despite receiving significant attention in the literature. The accumulation of traumatic events may exacerbate CPD burden among urban, low-income, racial minority residents with heart failure; findings highlight the importance of PTSD screening. [ABSTRACT FROM AUTHOR]

Purpose Difficult living conditions in urban areas could result in an increased risk of developing depression, particularly among women. One of the strong predictors of depression is poverty, which could lead to inequality in risk of depression. However, previous studies found conflicting results between poverty and depression. This study examines whether depression was unequally distributed among young and middle-adult women in Indonesia׳s major cities and investigate the factors contributed to the inequality. Methods Data from 1117 young and middle-adult women in Indonesia׳s major cities (Jakarta, Surabaya, Medan, and Bandung) were analysed. Concentration Index (CI) was calculated to measure the degree of the inequality. The CI was decomposed to investigate the factor contributing most to the inequality. Results The prevalence of depression was 15% and more concentrated among lower economic group (CI=−0.0545). Compared to the middle-adult group, the prevalence of depression among women in the young-adult group was significantly higher (18% vs 11%, p <0.05) and more equally distributed (CI=−0.0343 vs CI=−0.1001). Household consumption expenditure was the factor that contributed most to inequality in both group. Other factors contributing to inequality were smoking in young-adult group and marital status in middle-adult group. Contribution of education to inequality varied for different age groups. Conclusion Depression is more concentrated among the lower economic groups, with household expenditure being the major factor contributing to the inequality. This finding emphasises the importance of primary care level mental health services, particularly in poorer urban communities. Limitation This study is based on a cross-sectional data, and only assesses social determinants of depression. These determinants are important to address in addition to biological determinants and other factors. [ABSTRACT FROM AUTHOR]