Trends in the prevalence and treatment of depressive symptoms in Peru: a population-based study

Association between abdominal obesity and depressive symptoms in Peruvian women aged 18-49 years: a sub-analysis of the Demographic and Family Health Survey 2018-2019

OBJECTIVE

Abdominal obesity (AO) is characterised by excess adipose tissue. It is a metabolic risk that affects the physical and mental health, particularly in women since they are more prone to mental health problems like depression. This study investigated the association between AO and depressive symptoms in Peruvian women of reproductive age (18-49 years).

DESIGN

This is a cross-sectional observational study.

SETTING

Peruvian women population of reproductive age.

PARTICIPANTS

We used data from the Peruvian Demographic and Family Health Survey (DHS) for 2018 and 2019 to assess 17 067 women for the presence of depressive symptoms (using the Patient Health Questionnaire (PHQ-9): cut-off score ≥ 10) and AO (measured by abdominal circumference; cut-off score ≥88 cm).

RESULTS

We observed a 64·55 % prevalence of AO and 7·61 % of depressive symptoms in the study sample. Furthermore, 8·23 % of women with AO had depressive symptoms (P < 0·05). Initially, women with AO appeared to have a 26 % higher risk of depressive symptoms compared with women without AO (P = 0·028); however, after adjustment for covariates, no statistically significant association was observed.

CONCLUSIONS

Therefore, although both conditions are common in women of this age group, no significant association was found between AO and depressive symptoms.

Multimorbidity and acute infectious diseases in urban and semi-urban settings in Peru: A mixed-methods study

Background

The co-occurrence of chronic diseases and acute infectious events exacerbates disability and diminishes quality of life, yet research in Low- and Middle-Income countries is scarce. We aimed to investigate the relationship between infectious events and multimorbidity in resource-constrained settings.

Methods

We conducted a sequential mixed-method study in Lima and Tumbes, Peru, with participants having multimorbidity from the CRONICAS Cohort Study. They completed a questionnaire on the occurrence, treatment, and health-seeking behaviour related to acute infectious events. Qualitative interviews explored the perceptions and links between multimorbidity and acute infectious events for a subgroup of participants.

Findings

Among individuals with multimorbidity, low awareness of chronic conditions and poor medication adherence. The cumulative incidence for respiratory and gastrointestinal infections, the most reported acute conditions, was 2.0 [95%CI: 1.8-2.2] and 1.6 [1.2-1.9] events per person per year, respectively. Individuals with cancer (6.4 [1.6-11.2] events per person per year) or gastrointestinal reflux (7.2 [4.4-10.1] events per person per year) reported higher cumulative incidence of infectious events than others, such as those with cardiovascular and metabolic conditions (5.2 [4.6-5.8] events per person per year). Those with three or more chronic conditions had a slightly higher cumulative incidence compared with individuals with two conditions (5.7 [4.4-7.0] vs 5.0 [4.4-5.6] events per person per year). Around 40% of individuals with multimorbidity sought healthcare assistance, while others chose drugstores or didn't seek help. Our qualitative analysis showed diverse perceptions among participants regarding the connections between chronic and acute conditions. Those who recognized a connection emphasized the challenges in managing these interactions.

Interpretation

Our study advances understanding of multimorbidity challenges in resource-limited settings, highlighting the impact of acute infections on patients' existing multimorbidity burden.

Provision of community mental health care before and during the COVID-19 pandemic: A time series analysis in Peru

BACKGROUND

A consequence of the COVID-19 pandemic was that the provision of mental health services was reduced in several countries around the world, while the demand for mental health services increased.

AIMS

Our study aims to determine any variation in the number of users served, health appointments, and care activities conducted at 58 Peruvian community mental health centers (CMHCs) between March 2019 and October 2021.

METHODS

Our study used an observational design and analyzed information from the care provided in CMHCs. We evaluate the number of users served, health appointments, and care activities performed per month. The main statistical analysis used segmented regression with Newey-West standard errors, taking into account each month of the evaluation.

RESULTS

We had 988,456 unique users during the period evaluated. Regarding diagnoses, 7.4% (n = 72,818) had a severe mental problem, 39.4% (n = 389,330) a common mental problem, and 53.2% (n = 526,308) others health problems. The study found a reduction in the number of users served and health care appointments at the 58 CMHCs in March 2020, the month in which the closure measures were declared to reduce COVID-19 infections in Peru. This reduction was followed by an upward trend in the three variables during the pandemic in the 58 CMHCs studied. In, November 2020, 9 months after the pandemic started, the deficit in the average number of users served per month was recovered.

CONCLUSIONS

Our study suggests that CMHCs in the Peruvian system were able to regain care capacity approximately 1 year after the pandemic. In addition, we discuss the efforts made to respond to mental health needs in the context of a global health crisis.

Sensitivity and specificity of the Patient Health Questionnaire (PHQ-9, PHQ-8, PHQ-2) and General Anxiety Disorder scale (GAD-7, GAD-2) for depression and anxiety diagnosis: a cross-sectional study in a Peruvian hospital population

OBJECTIVES

The Patient Health Questionnaire (PHQ) and Generalised Anxiety Disorder Scale (GAD) are widely used screening tools, but their sensitivity and specificity in low-income and middle-income countries are lower than in high-income countries. We conducted a study to determine the sensitivity and specificity of different versions of these scales in a Peruvian hospital population.

DESIGN

Our study has a cross-sectional design.

SETTING

Our participants are hospitalised patients in a Peruvian hospital. The gold standard was a clinical psychiatric interview following ICD-10 criteria for depression (F32.0, F32.1, F32.2 and F32.3) and anxiety (F41.0 and F41.1).

PARTICIPANTS

The sample included 1347 participants. A total of 334 participants (24.8%) were diagnosed with depression, and 28 participants (2.1%) were diagnosed with anxiety.

RESULTS

The PHQ-9's≥7 cut-off point showed the highest simultaneous sensitivity and specificity when contrasted against a psychiatric diagnosis of depression. For a similar contrast against the gold standard, the other optimal cut-off points were: ≥7 for the PHQ-8 and ≥2 for the PHQ-2. In particular, the cut-off point ≥8 had good performance for GAD-7 with sensitivity and specificity, and cut-off point ≥10 had lower levels of sensitivity, but higher levels of specificity, compared with the cut-off point of ≥8. Also, we present the sensitivity and specificity values of each cut-off point in PHQ-9, PHQ-8, PHQ-2, GAD-7 and GAD-2. We confirmed the adequacy of a one-dimensional model for the PHQ-9, PHQ-8 and GAD-7, while all PHQ and GAD scales showed good reliability.

CONCLUSIONS

The PHQ and GAD have adequate measurement properties in their different versions. We present specific cut-offs for each version.

Estimated impact of the COVID-19 pandemic on the prevalence and treatment of depressive symptoms in Peru: an interrupted time series analysis in 2014-2021

PURPOSE

The COVID-19 pandemic increased the burden of mental disorders worldwide. Peru has been one of the countries most affected by COVID-19, however, studies evaluating the medium and long-term consequences of the pandemic on Peruvians' mental health are recent and represent a new field of study in proliferation. We aimed to estimate the impact of the COVID-19 pandemic on the prevalence and treatment of depressive symptoms using nationally representative surveys in Peru.

METHODS

Our study is an analysis of secondary data. We carried out a time series cross-sectional analysis based on the National Demographic and Health Survey of Peru, collected using a complex sampling design. The Patient Health Questionnaire-9 was used to measure mild (5-9 points), moderate (10-14 points), and severe (15 points or more) depressive symptoms. The participants were men and women aged 15 years and older, living in urban and rural areas of all regions of Peru. The main statistical analysis used segmented regression with Newey-West standard errors, taking into account that each year of the evaluation was divided into four measures (quarter measure).

RESULTS

We included 259,516 participants. An average quarterly increase of 0.17% (95% CI 0.03-0.32%) in the prevalence of moderate depressive symptoms was identified after the onset of the COVID-19 pandemic (approximately an increase of 1583 new cases of moderate depressive symptoms by each quarter). The percentage of cases treated for mild depressive symptoms increased quarterly by an average of 0.46% (95% CI 0.20-0.71%) after the onset of the COVID-19 pandemic (approximately an increase of 1242 new cases treated for mild depressive symptoms by each quarter).

CONCLUSION

In Peru, increases in the prevalence of moderate depressive symptoms and the proportion of cases treated with mild depressive symptoms were found after the COVID-19 pandemic. Therefore, this study is a precedent for future research assessing the prevalence of depressive symptoms and the proportion of cases receiving treatment during the pandemic and post-pandemic years.

Profiles of depressive symptoms in Peru: An 8-year analysis in population-based surveys

Background Profiles of depressive symptoms have been described due to heterogeneity in symptomatology and presentation. In our study, we estimate depressive symptom profiles and relate these symptom profiles to risk factors in the Peruvian population. Methods We carried out an observational study based on the Peruvian Demographic and Health Survey (2014-2022). Men and women aged 15 years and older living in urban and rural areas in all regions of Peru were included. The Patient Health Questionnaire-9 was used to define depressive symptom profiles. We estimated latent class models to define the profiles and performed a Poisson regression analysis to determine the associated factors. Results A total of 259,655 participants were included. The three-class model was found to be the most appropriate, and the classes were defined according to the severity of depressive symptoms (moderate-severe symptoms, mild symptoms, and without depressive symptoms). Also, it was found that the three classes identified have not changed during the years of evaluations, presenting very similar prevalence over the years. In addition, women are more likely than men to belong to a class with more severe depressive symptoms; and the older the age, the higher the probability of belonging to a class with greater severity of depressive symptoms. Conclusions Our study found that at the population level in Peru, depressive symptoms are grouped into three classes according to the intensity of the symptomatology present (no symptoms, mild symptoms and moderate-severe symptoms).

Racial and gender-based disparities and trends in common psychiatric conditions in liver cirrhosis hospitalizations: A ten-year United States study

BACKGROUND

Chronic liver disease is associated with various neuropsychiatric conditions. There are currently no large studies assessing and comparing the prevalence of psychiatric illnesses based on patient profiles and the etiology of cirrhosis.

AIM

To examine the trends of hospitalizations among psychiatric conditions in cirrhosis.

METHODS

We used the National Inpatient Sample database 2009-2019 for the primary diagnosis of liver cirrhosis. The outcomes included the prevalence, trends, and associations of psychiatric diagnoses in these hospitalizations. Chi-square for categorical variables and the Wilcoxon rank test for continuous variables were utilized.

RESULTS

The prevalence of generalized anxiety disorder (GAD) in liver cirrhosis hospitalizations increased from 0.17% in 2009 to 0.92% in 2019 (P < 0.001). The prevalence of depression increased from 7% in 2009 to 12% in 2019 (P < 0.001). Attention deficit hyperactivity disorder (ADHD) prevalence increased from 0.06% to 0.24%. The prevalence of schizophrenia increased from 0.59% to 0.87% (P < 0.001). Schizoaffective disorder prevalence increased from 0.10% to 0.35% (P < 0.001). Post-traumatic stress disorder (PTSD) prevalence displayed increasing trends from 0.36% in 2009 to 0.93% in 2019 (P < 0.001). The prevalence of suicidal ideation increased from 0.23% to 0.56% in 2019. Cirrhosis related to alcoholic liver disease [adjusted odds ratios (aOR) 1.18, 95%CI 1.08-1.29, P < 0.001] and non-alcoholic fatty liver disease (NAFLD) (aOR 1.14, 95%CI 1.01-1.28, P = 0.025) was associated with depression more than other causes. Alcohol- and NAFLD-associated cirrhosis had a stronger link to psychiatric disorders. Females had a higher association with GAD (aOR 2.56, 95%CI 2.14-3.06, P < 0.001), depression (aOR 1.78, 95%CI 1.71-1.84, P < 0.001), bipolar disorder (aOR 1.64, 95%CI 1.52-1.77, P < 0.001] and chronic fatigue (aOR 2.31, 95%CI 1.31-4.07, P < 0.001) when compared to males. Blacks, Hispanics, and Asian/Native Americans had a significantly lower association with GAD, depression, bipolar disorder, PTSD, and ADHD when compared to the white race.

CONCLUSION

The prevalence of psychiatric comorbidities in liver cirrhosis hospitalizations has increased over the last decade. Females had a higher association with psychiatric disorders compared to males. Blacks, Hispanics, and Asian/Native Americans had lower associations with psychiatric comorbidities compared to the white race.

Disparities and trends in suicidal ideations for inflammatory bowel disease hospitalizations: a decade-long national database analysis

Aim: Patients with inflammatory bowel disease (IBD) are more likely to develop anxiety or depression. The study aimed to describe the trends and disparities of suicidal ideation (SI) in hospitalized IBD patients. Methods: A retrospective study was conducted using the National Inpatient Sample (NIS) database, to analyze SI among the IBD hospitalizations from 2009 to 2019. Bivariate analysis was conducted using a chi-square test for categorical variables and an independent t-test for continuous variables. For prevalence, the trend over time was evaluated using the score test. Results: There were 1,724 IBD hospitalizations with SI for the study period. There was a male (53.8%) and white race (74.2%) predominance. The mean age was 41.47 ± 0.25 years. The hospital stay decreased for IBD hospitalizations with SI from 7.97 days in 2009 to 7.57 days in 2019 (P < 0.001). The mean hospital charge increased from $44,664 in 2009 to $66,639 in 2019 (P < 0.001). The prevalence of SIs increased from 0.17% in 2009 to 0.29% in 2019 (P < 0.001). The mean age of these hospitalizations increased from 38 years in 2009 to 42.3 years in 2019 (P = 0.02). The prevalence of generalized anxiety disorder (GAD) increased from < 1% in 2009 to 12.19% in 2019 (P < 0.001). The prevalence of depression increased from 18.04% in 2009 to 51.21% in 2019 (P < 0.001). Inpatient mortality increased from 0% in 2009 to 2.43% in 2019 (P = 0.024). Among IBD hospitalizations, the male gender had a higher association with SIs than females (odds ratio 1.32 [95% confidence intervals (CI) 1.06–1.66], P = 0.014). Conclusions: There is a rise of SI among the IBD population. Specialized protocols should be in place in clinical settings and communities to identify and assess high-risk patients.

Associated factors to depression diagnosed during incarceration in Peruvian male prisoners: a sub-analysis of the national census of prison population

PURPOSE

Depression has become a major health concern, particularly in developing countries. This disorder is highly prevalent among certain vulnerable populations, such as prisoners. In Peru, prisons are overcrowded, and the health of prisoners is neglected. Thus, this study aims to estimate the prevalence of depression diagnosed during incarceration in male inmates from all Peruvian prisons and assess its associated factors.

DESIGN/METHODOLOGY/APPROACH

A cross-sectional study was conducted based on the secondary data analysis of the National Census of Prison Population 2016 in Peru. This study included records of prisoners who reported whether they were diagnosed with depression by a health-care professional after admission into the prisons. Descriptive, bivariate and multivariable analyses were performed.

FINDINGS

Of the 63,312 prisoners included in this study, 1,007 reported an in-prison diagnosis of depression by a health-care professional, which represents a prevalence of 1.59%. Substance use disorder (adjusted prevalence ratio [aPR] 3.10; 95% confidence interval [CI]: 1.91-5.03), hypertension (aPR 7.20; 95% CI: 6.28-8.24) and previous discrimination (aPR 1.97; 95% CI: 1.62-2.40) were strongly associated with depression, even when adjusting for multiple confounders. Other directly associated variables were, for example, violence during childhood, infrequent visits in prison and diabetes.

ORIGINALITY/VALUE

The right of prisoners to adequate health care is being neglected in Peru. Mental health is a cornerstone of health quality. Acknowledging which factors are associated with depression in prison is important to implement strategies to improve the mental health of prisoners.

Relationship between job satisfaction, burnout syndrome and depressive symptoms in physicians: a cross-sectional study based on the employment demand-control model using structural equation modelling

OBJECTIVE

To evaluate the relationship between job satisfaction, burnout syndrome (BS) and depressive symptoms (DS) based on the job demand-control framework model on a nationally representative sample of physicians working in the Peruvian Health System.

SETTING

We carried out a secondary data analysis of the National Survey of Satisfaction of Users in Health 2016 in Peru.

PRIMARY AND SECONDARY OUTCOME MEASURES

Our study assessed the development of the predictive model and had two parts: (1) to evaluate the association among the variables based on the job demand-control framework, and (2) to assess the proposed model acceptability using the structural equation modelling approach to estimate goodness-of-fit indices (GOFIs).

PARTICIPANTS

We excluded physicians older than 65 years, who did not report income levels or who had missing data related to the workplace. Thus, we analysed 2100 participants.

RESULTS

The prevalence of DS was 3.3%. Physicians' work-related illnesses had more probability to result in DS (prevalence ratio=2.23). DS was moderately related to BS dimensions (r>0.50); nevertheless, the relationships between DS and the three job satisfaction scales were weak (r<0.30). The first predictive model based on the variables, DS, BS and job satisfaction, had low GOFIs (comparative fit index (CFI)=0.883; root mean square error of approximation (RMSEA)=0.125). In a second evaluation, we used models with correlated errors obtaining optimal GOFIs (CFI=0.974; RMSEA=0.060).

CONCLUSIONS

Our study identified a stable model to explain the relationship between job satisfaction, BS and DS among physicians. The results are consistent with the job demand-control framework. They could be applied to decision-making in occupational contexts in Latin American low/middle-income countries.

Association Between Intimate Partner Violence and Depressive Symptoms among Women Aged 15 to 45 Years in Peru: A Three-Year Analysis of the Demographic and Health Survey

We conducted a secondary data analysis based on the 2014, 2015, and 2016 Demographic and Health Surveys to determine the association between intimate partner violence (IPV) and depressive symptoms in Peruvian women aged 15-45 years. Depressive symptoms were assessed through the PHQ-9, while IPV was assessed through the CTS-2. A total of 24,099 subjects were included. The prevalence of depressive symptoms and IPV was 6.98% and 64.72%, respectively. Victims of IPV were 2.47 times more likely to have depressive symptoms compared to those who were never assaulted. In conclusion, there is a strong association between IPV and depressive symptoms.

Contextual and individual factors associated with depressive symptoms in Latin American residents from eleven cities: Multilevel analysis

Depression is one of the most prevalent mental illnesses in the world. Its associated factors have been scarcely studied in the Latin American population. Our aim was to determine the contextual and individual factors associated with depressive symptoms (DS) in residents of 11 Latin American cities according to the 2019 CAF Survey (ECAF, acronym in Spanish). A multilevel analysis was performed to identify individual and contextual factors associated with DS. DS were measured by the short version of the Center for Epidemiological Studies Depression Scale (CES-D-10). Of the 10,206 participants, 42.0% had DS in the week prior to the survey. Regarding the individual factors studied, women (OR = 1.81, 95% CI: 1.65-1.99), smokers (OR = 1.30, 95% CI: 1.16-1.45), obese, junk food eaters more than twice a week, single people, and a greater number of people in the household were associated with greater probabilities of having DS. On the other hand, a secondary (OR = 0.77; 95% CI: 0.67-0.88) or superior educational level (OR = 0.58; 95% CI: 0.50-0.68) were associated as protective factors. Regarding contextual factors, higher contamination levels (OR = 1.07, 95% CI: 1.01-1.13) were associated with DS. Our study reports associations between individual and environmental factors and DS in residents of Latin America. These findings will allow the adoption of the necessary measures for decision-making and research to face this growing problem in developing countries.

Policies on mental health in the workplace during the COVID-19 pandemic: A scoping review

Background

The COVID-19 pandemic has had a profound impact on both mental health and working conditions. Workplaces are conducive spaces for implementing strategies and interventions to promote mental health. In addition to this, they are preventing, identifying, and managing mental disorders effectively. Although international agencies have identified some guidelines for the management of mental health in the workplace in the context of the COVID-19 pandemic, a more precise characterization of both the components of the policies, their implementation, and evidence of the outcome is required to provide useful information for decision-makers.

Objectives

This study aims to synthesize scientific information regarding national and local policies focusing on preventing or improving, directly or indirectly, mental health problems in the workplace during COVID-19 pandemic.

Methods

Our study is a scoping review. The Scopus, Web of Science, and Embase databases and PubMed search engine were used. Original and reviewed articles published from January 1, 2020 to October 14, 2021 were included in the research. Articles with abstract or full text in English, Spanish, German and Portuguese were also included. Our strategy is based on identifying policies (intervention) which focuses on directly or indirectly preventing or ameliorating mental health problems in the workplace during COVID-19 pandemic (participants).

Results

A total of 6,522 records were identified, and only four studies were included in the scoping review, which were of low quality. That is, we found limited evidence evaluating mental health policies using primary or secondary data (empirical evaluation). Among the policies that have been identified are the increase of mental health resources, the promotion of mental health and self-care support programs, and the reduction of barriers to access to mental health treatment.

Conclusion

Our research finds that there is limited evidence available to evaluate national and local policies aimed at directly or indirectly preventing or ameliorating mental health problems at work during COVID-19 pandemic. This forces decision-makers to use different criteria to guide the allocation of resources and budgets. Therefore, there is a need for health intelligence teams in health systems to be able to assess the impact of policies as an important input for decision-makers.

Association between maternal depression and emotion and behavior regulation in Peruvian children: a population-based study

Depression is more frequent in women, affecting the early stages of child development. This study aimed to determine the association between maternal depression and self-regulation of emotions and behaviors in Peruvian children under five years. A cross-sectional analytical study of data collected by the 2019 Demographic and Family Health Survey (ENDES) was conducted. The outcome variable was emotion and behavior regulation in children aged 24 to 59 months, and exposure was the presence of depression in women aged 15 to 49 years during the 14 days prior to the survey using the Patient Health Questionnaire (PHQ-9). A generalized linear model of the binomial family was used for reporting crude prevalence ratios and adjusted. The overall prevalence of children who did not self-regulate their emotions and behaviors was 68.8%, while 3.8% of the mothers had moderate depressive symptoms and 2.2% severe symptoms. Regarding the association of interest, moderate and severe depressive symptoms of mothers decreased the probability of children regulating emotions and behaviors in the first model, whereas in the second model, an association was only found with severe depressive symptoms. In conclusion, children of mothers with moderate and severe depressive symptoms had a lower probability of self-regulating their emotions and behaviors. Therefore, it is necessary to develop maternal education, nutritional and social support programs and mental health strategies from the first level of care aimed at reducing social, economic and child factors to reduce the risk of depression in mothers and low early childhood development, which could reduce the risk of developing mental health disorders in adolescence and adulthood.

Prevalence, progress, and subgroup disparities in pharmacological antidepressant treatment of those who screen positive for depressive symptoms: A repetitive cross-sectional study in 19 European countries

Background

The European Mental Health Action Plan (EMHAP) 2013–2020 promoted community-based mental health services. One potential success indicator is the provision of antidepressant medication to those needing it.

Methods

Public data from two surveys (Health Survey for England, UK; Survey of Health, Ageing and Retirement in Europe) covered 19 European countries across EMHAP phases one (2011–2015) and two (2015–2018). People screening positive for depressive symptoms by self-report were included. The primary outcome was antidepressant use: using country-specific weighted regression models, we estimated temporal trends and subgroup disparities in antidepressant receipt, with secondary analysis by country-level measures including healthcare expenditure.

Findings

Across 37,250 participants, after controlling for age, sex, wealth, and physical disability, antidepressant use (amongst those screening positive) increased significantly in 14/19 countries, with the smallest increase being in Slovenia (adjusted OR[AOR] for trend=1.68[1.20–2.36]) and the highest increase being in Germany (AOR for trend=10.07[7.54–13.46]) and Austria (AOR for trend=10.07[7.32–13.74]). The overall proportion using antidepressants was positively associated with national health expenditure (coefficient=5.43[1.62–9.25]), but not with gross national income per capita or the number of psychiatrists, general practitioners, or psychiatric hospital beds. In 15/19 countries, antidepressants were used less by ≥65-year-olds than 50–64-year-olds, with the smallest differential reported in Luxembourg (AOR=0.70[0.49, 0.98]) and the highest in Germany (AOR=0.28[0.21, 0.37]); this disparity widened in 12/15 countries. Men used antidepressants less than women in 8/19 countries, across phases. In 13/19 countries, people with physical disability were more likely to receive antidepressants, with the smallest gap in Italy (AOR=1.42[1.12–1.80]) and the largest in Israel (AOR=2.34[1.46–3.74]); this disparity narrowed in 5/13 countries. Disparity by wealth was found in 8/19 countries, but its temporal trend varied.

Interpretation

Usage of antidepressants by those with depressive symptoms has increased, with wide variation between countries and subgroups. Disparities across age, sex, and disability should prompt further research.

Funding

Medical Research Council (grants MC_PC_17213 and MR/W014386/1), UK National Institute for Health Research (NIHR) Applied Research Collaboration (ARC) East of England, NIHR Cambridge Biomedical Research Centre (BRC-1215-20014).

Trend in the prevalence of depressive symptoms in Brazil: results from the Brazilian National Health Survey 2013 and 2019

This study aims to evaluate national variation in depression prevalence and in different sociodemographic groups, health behaviors, and macroregions of Brazil from 2013 to 2019. Data were obtained from two nationwide Brazilian surveys - Brazilian National Health Survey 2013 and 2019. Participants aged 18 years or older were included, totaling 60,202 individuals in 2013 and 88,531 in 2019. Depression was evaluated with the Patient Health Questionnaire-9 (PHQ-9). All estimations accounted for the population weights and the complex sampling. The findings showed that during the six years between the two surveys, the prevalence of depression in Brazil increased by 36.7%, going from 7.9% in 2013 to 10.8% in 2019, and this increase is higher among unemployed young adults, aged 18 to 24 years, with the increase in the prevalence of depression almost tripled (3.7 in 2013 and 10.3 in 2019), an increase of 178.4%. Those dwelling in urban areas had a higher increase in the prevalence of depression in the six-year period (39.8%) when compared to residents in rural areas (20.2%). There was an increase in the prevalence of depression from 2013 to 2019 for the worst categories of the three health behaviors included in the study for both men and women: heavy drinking, smoking, and not exercising the recommended level of physical activity. Our results show a significant increase in the prevalence of depression over the six years between the two surveys, mainly among the younger and unemployed men. The country's economic recession during this period may explain these findings.

Relationship between Depressive Symptoms and Weather Conditions

Background: Weather is a well-known factor worldwide in psychiatric problems such as depression, with the elderly and females being particularly susceptible. The aim of this study was to detect associations between the risk of depressive symptoms (DS) and weather variables. Methods: 6937 participants were assessed in the baseline survey of the Health Alcohol Psychosocial Factors in Eastern Europe (HAPIEE) study during 2006−2008. To assess the risk of DS, a multivariate logistic model was created with predictors such as socio-demographic factors, health behaviors, and weather variables. Results: DS were found in 23.4% of the respondents, in 15.6% of males and in 29.9% in females. A higher risk of DS (by 25%) was associated with November−December, a rising wind speed, and relative humidity (RH) < 94% and snowfall during the cold period occurring 2 days before the survey. A higher air temperature (>14.2 °C) predominant during May−September had a protective impact. A higher risk of DS in males was associated with lower atmospheric pressure (<1009 hPa) 2 days before. Females were more sensitive to the monthly variation, snowfall, and RH. Conclusions: The findings of our study suggest that some levels of weather variables have a statistically significant effect on DS.

Association between altitude and depression in Peru: An 8-year pooled analysis of population-based surveys

BACKGROUND

In high altitude regions, people experience biological, inflammatory and brain structure changes that increase the risk of depressive symptoms. The aim of this study was to determine the association between altitude and depressive symptoms in the Peruvian population, adjusting by demographic, socioeconomic and exposure to health risk factors.

METHODS

We performed a cross-sectional analytical study of data collected annually by the Demographic and Family Health Survey during the period 2013-2020. The presence of depressive symptoms during the last 14 days prior to the survey were measured using scores obtained from the Patient Health Questionnaire-9 (PHQ-9). A generalized linear model (GLM) of gamma family and log link function was used to report the crude and adjusted β coefficients. A quantile regression model was performed as a sensitivity analysis.

RESULTS

Data from a total of 215,409 participants were included. After adjusting for demographic, socioeconomic and health risk exposures, the GLM showed that an increase in every 100 m of altitude of residence was positively and significantly associated with the depressive symptoms score (β=0•01 [95% confidence interval: 0•01-0•01]).

LIMITATIONS

The length of residence in high altitude areas of the population included cannot be established, requiring future research to determine if the results of the present study are similar in native people or permanent residents of high altitude regions.

CONCLUSIONS

Altitude was positively associated with depressive symptom scores. Our results will allow the development of mental health interventions based on factors that increase the likelihood of depressive symptoms in high-altitudes.

Network Analysis of Depressive Symptomatology in Underweight and Obese Adults

BACKGROUND

Depressive symptoms can affect people's quality of life and social environment. In addition, in severe situations, they can lead to suicidal behaviors.

OBJECTIVE

This study aimed to analyze the differences in depressive symptoms in underweight and obese Peruvian adults.

METHODS

A cross-sectional study was carried out based on secondary data obtained from the Instituto Nacional de Estadística e Informática (INEI), Lima, Peru. A sample of 10 053 participants was considered, of which 55.96% were women. Two Gaussian plot models were estimated and the levels of depressive symptomatology were compared between the 2 groups (adults with underweight and obese).

RESULTS

A total of 1510 (15.02%) were underweight adults and 8543 (84.98%) were obese adults. There were differences in the reporting of depressive symptoms in the underweight group; the most central items were "Depressed mood" (PH2), "Tiredness/low energy" (PH4), and "Psychomotor difficulties" (PH8).

CONCLUSION

This study provides new evidence on the dynamic relationship between depressive symptoms according to the body mass index categories (underweight and obese) assessed.

Depression, post-traumatic stress, anxiety, and fear of COVID-19 in the general population and health-care workers: prevalence, relationship, and explicative model in Peru

BACKGROUND

This study has two aims. First, determine the fit of the fear model to COVID-19, anxiety, and post-traumatic stress in the general population and health-care workers. Second, determine which model best explains the relationship between depression and the triad of fear, anxiety, and post-traumatic stress in both groups.

METHOD

A cross-sectional study was conducted using self-reported questionnaires for anxiety, fear of COVID-19, depression, and post-traumatic stress. Information was collected from adults living in Lima, the capital and the most populous city in Peru. The explanatory models were evaluated using a structural equation model.

RESULTS

A total of 830 participants were included, including general population (n = 640) and health-care workers (n = 190). A high overall prevalence of depressive symptoms (16%), anxiety (11.7%), and post-traumatic stress (14.9%) were identified. A higher prevalence of depressive, anxious, or stress symptoms was identified in the general population (28.6%) compared to health-care workers (17.9%). The triad model of fear of COVID-19, anxiety, and stress presented adequate goodness-of-fit indices for both groups. A model was identified that manages to explain depressive symptoms in more than 70% of the general population and health-care workers, based on the variables of the triad (CFI = 0.94; TLI = 0.94; RMSEA = 0.06; SRMR = 0.06). In the general population post-traumatic stress mediated the relationship between anxiety and depression (β = 0.12; 95%CI = 0.06 to 0.18) which was significant, but the indirect effect of post-traumatic stress was not significant in health care workers (β = 0.03; 95%CI = - 0.11 to 0.19).

LIMITATIONS

The prevalence estimates relied on self-reported information. Other variables of interest, such as intolerance to uncertainty or income level, could not be evaluated.

CONCLUSIONS

Our study proposes and tests one model that explains more than 70% of depressive symptoms. This explanatory model can be used in health contexts and populations to determine how emotional factors can affect depressive symptoms.

Association between depressive symptoms and disability in older adults of 12 high Andean communities from Peru

OBJECTIVE

Our objective was to evaluate the association between depressive symptoms and disability in older adults residing in 12 high Andean communities in Peru.

MATERIAL AND METHODS

We carried out a secondary data analysis of a cross-sectional study that included older adults (60 years or older) from 12 high Andean communities in Peru from 2013 to 2019. Depressive symptoms were defined as a score of two or more in the abbreviated Geriatric Depression Scale, while disability was defined as a score of less than 95 in the Barthel index. We also included sociodemographic characteristics, medical and personal history, and functional and performance-based tests. We used crude and adjusted Poisson regression models to evaluate the association of interest and estimated prevalence ratios (PR) with their respective 95% confidence intervals (95% CI).

RESULTS

We included 442 older adults with a mean age of 73 ± 6.9 in the analysis; 63.1% (n = 279) were women, and 79.9% (n = 353) had no education or incomplete primary school. 50.9% (n = 225) of the participants had depressive symptoms, and 49.8% (n = 220) had disability. The adjusted Poisson regression model showed that depressive symptoms increased the probability of disability (adjusted PR = 1.67; 95% CI: 1.34-2.08; p < 0.001) in older adults living at high altitude.

CONCLUSIONS

Depressive symptoms was associated with a greater probability of disability in older adults living at high altitude. Longitudinal studies are needed for better understanding of this association in high altitude populations along with timely interventions to reduce the impact of both geriatric syndromes.

Characterization of HIV-Associated Neurocognitive Impairment in Middle-Aged and Older Persons With HIV in Lima, Peru

Background: With widespread use of antiretroviral medications, people living with HIV (PWH) are living longer worldwide, increasing their risk of developing neurocognitive impairment (NCI). The proportion of Peruvians over age 60 is expected to increase to 25% of the population by 2050, including PWH. Therefore, the problem of aging and NCI, especially in the setting of HIV infection, is uniquely pressing. We sought to study the rates of and risk factors associated with NCI among middle-aged and older PWH in Lima, Peru. Materials and Methods: Sociodemographic, medical (infectious and non-infectious), and psychiatric comorbidity and laboratory data were collected. We administered a brief neuropsychological battery evaluating seven cognitive domains affected in HIV-associated NCI and a depression screening. Cognitive test raw scores were converted to T-scores that were demographically adjusted. Descriptive statistics were performed together with regression (unadjusted and adjusted) analyses to determine potential risk factors for NCI among PWH. Results: This was a cross-sectional study in which 144 PWH aged ≥40 years attending a large HIV clinic in Lima, Peru, were recruited from September 2019 to March 2020. Mean age was 51.6 ± 7.7 years, and mean years of education were 14.0 ± 3.1 with 15% females. Median [interquartile range (IQR)] current CD4 and nadir CD4 were 554 (371, 723) and 179 (83, 291), respectively, and 10% currently had AIDS. The prevalence of NCI was 28.5%, and many demonstrated difficulty with attention and working memory (70%). One-quarter of PWH had mild depression or worse on Patient Health Questionnaire 9 (PHQ-9 ≥ 5). In bivariate analyses, neither a depression history nor a higher PHQ-9 score correlated with NCI. No other non-communicable medical or psychiatric comorbidity nor HIV characteristic was predictive of NCI. Having a positive lifetime history of hepatitis B infection, pulmonary tuberculosis, or syphilis increased risk of NCI (PR 1.72; 95% CI 1.04-2.86) in unadjusted analyses, but not in adjusted analyses. Conclusions: NCI among older Peruvians with HIV was found to be highly prevalent with levels consistent with prior reports of HIV-associated NCI worldwide. Common latent HIV-associated co-infections, including latent syphilis, hepatitis B infection, or pulmonary tuberculosis, may increase the risk of NCI among middle-aged and older PWH in Peru.