Variability of the Prevalence of Depression in Function of Sociodemographic and Environmental Factors: Ecological Model

Atypical Brain Aging and Its Association With Working Memory Performance in Major Depressive Disorder

BACKGROUND

Patients with major depressive disorder (MDD) can present with altered brain structure and deficits in cognitive function similar to those seen in aging. However, the interaction between age-related brain changes and brain development in MDD remains understudied. In a cohort of adolescents and adults with and without MDD, we assessed brain aging differences and associations through a newly developed tool that quantifies normative neurodevelopmental trajectories.

METHODS

A total of 304 participants with MDD and 236 control participants without depression were recruited and scanned from 3 studies under the Canadian Biomarker Integration Network for Depression. Volumetric data were used to generate brain centile scores, which were examined for 1) differences between participants with MDD and control participants; 2) differences between individuals with versus without severe childhood maltreatment; and 3) correlations with depressive symptom severity, neurocognitive assessment domains, and escitalopram treatment response.

RESULTS

Brain centiles were significantly lower in the MDD group than in the control group. Brain centile was also significantly correlated with working memory in the control group but not the MDD group. No significant associations were observed between depression severity or antidepressant treatment response and brain centiles. Likewise, childhood maltreatment history did not significantly affect brain centiles.

CONCLUSIONS

Consistent with previous work on machine learning models that predict brain age, brain centile scores differed in people diagnosed with MDD, and MDD was associated with differential relationships between centile scores and working memory. The results support the notion of atypical development and aging in MDD, with implications for neurocognitive deficits associated with aging-related cognitive function.

The Intergenerational Transfer of Mental Disorders: A Population-Based Multigenerational Linkage Study: Le transfert intergénérationnel des troubles mentaux : une étude sur les liens multigénérationnels basée sur la population

OBJECTIVES

The aetiology of mental disorders involves genetic and environmental factors, both reflected in family health history. We examined the intergenerational transmission of multiple mental disorders from parents and grandparents using population-based, objectively measured family histories.

METHODS

This population-based retrospective cohort study used administrative healthcare databases in Manitoba, Canada and included adults living in Manitoba from 1977 to 2020 with linkages to at least one parent and one grandparent. Index date was when individuals turned 18 or 1 April 1977, whichever occurred later. Mental disorder diagnoses (mood and anxiety, substance use and psychotic disorders) were identified in individuals, parents and grandparents from hospitalization and outpatient records. Cox proportional hazards regression models included sociodemographic characteristics, individual's comorbidity and mental disorder history in a grandparent, mother and father.

RESULTS

Of 109,359 individuals with no mental disorder prior to index date, 47.1% were female, 36.3% had a mental disorder during follow-up, and 90.9% had a parent or grandparent with a history of a mental disorder prior to the index date. Both paternal and maternal history of a mental disorder increased the risk of the disorder in individuals. Psychotic disorders had the strongest association with parental history and were mostly influenced by paternal (hazards ratio [HR] 3.73, 95% confidence interval [CI] 2.99 to 4.64) compared to maternal history (HR 2.23, 95% CI, 1.89 to 2.64). Grandparent history was independently associated with the risk of all mental disorders but had the strongest influence on substance use disorders (HR 1.42, 95% CI, 1.34 to 1.50).

CONCLUSIONS

Parental history of mental disorders was associated with an increased risk of all mental disorders. Grandparent history of mental disorders was associated with a small risk increase of the disorders above and beyond parental history influence. This three-generation study further highlights the need for family-based interventional programs in families affected by mental disorders.

PLAIN LANGUAGE SUMMARY TITLE

The Intergenerational Transfer of Mental Illnesses.

Predictive variables of depressive symptoms and anxiety in older adults from primary care: a cross-sectional observational study

BACKGROUND

By 2050, the number of people aged 60 years and older will have doubled worldwide and the most common mental disorders in this age group are currently depressive symptoms and anxiety. This study aimed to analyze the Basic and Instrumental Activities of Daily Living (BADLs and IADLs, respectively) in older adults; socio-demographic, clinical, lifestyle, and environmental variables; and cognitive impairment related to the appearance of depressive symptoms and anxiety.

MATERIAL AND METHODS

A cross-sectional observational study was conducted with 327 participants aged ≥65 years in primary care. The variables were Yesavage's Geriatric Depression Scale, the Goldberg Anxiety Subscale, socio-demographic, clinical, lifestyle, environmental variables, BADLs, IADLs, and the Spanish version of the Mini-Mental State Examination.

RESULTS

An analysis of variance was carried out for the predictive multiple linear regression models. '≥ 1 chronic pathology' and 'low dependency' in BADL are negatively associated with anxiety, while 'physical activity' and 'low dependency' in BADL are associated with positive factors for depressive symptoms.

CONCLUSIONS

Predictor variables could improve the early detection of anxiety and depressive symptoms by general practitioners and serve as a basis for future studies and personalised-adapted cognitive stimulation programs.

Community indicators for mental health in Europe: a scoping review

Background

Community indicators may predict and influence individuals` mental health, and support or impede mental health management. However, there is no consensus on which indicators should be included in predictions, prognostic algorithms, or management strategies for community-based mental health promotion and prevention approaches. Therefore, this scoping review provides an overview of relevant community-level indicators for mental health in the general as well as risk populations in a European context.

Methods

We conducted a scoping review in the following electronic databases: PubMed, Embase, and PsycInfo. Eligible studies focused on context factors such as either the physical or social environment, reporting at least one mental health outcome and referring to a European population. Publications between 2012 and March 8, 2022 are considered.

Results

In total, the search yielded 12,200 identified records. After the removal of duplicates, 10,059 records were screened against the eligibility criteria. In total, 169 studies were included in the final analysis. Out of these included studies, 6% focused on pan-European datasets and 94% on a specific European country. Populations were either general or high-risk populations (56 vs. 44%, respectively) with depressive disorder as the main reported outcome (49%), followed by general mental health (33%) and anxiety (23%). Study designs were cross-sectional studies (59%), longitudinal (27%), and others (14%). The final set of indicators consisted of 53 indicators, which were grouped conceptually into 13 superordinate categories of community indicators. These were divided into the domains of the physical and social environment. The most commonly measured and reported categories of community indicators associated with mental health outcomes were social networks (n = 87), attitudinal factors toward vulnerable groups (n = 76), and the characteristics of the built environment (n = 56).

Conclusion

This review provides an evidence base of existing and novel community-level indicators that are associated with mental health. Community factors related to the physical and social environment should be routinely recorded and considered as influencing factors or potentially underestimated confounders. The relevance should be analyzed and included in clinical outcomes, data, monitoring and surveillance as they may reveal new trends and targets for public mental health interventions.

Prevalence of and factors associated with postnatal depression and anxiety among parents of preterm infants: A systematic review and meta-analysis

BACKGROUND

This study aimed to determine the prevalence of and factors associated with postpartum depression and anxiety among mothers and fathers of preterm infants and to examine the relationships between maternal and paternal symptoms.

METHODS

Six electronic databases were searched to identify eligible studies reporting parental depression and anxiety within 1 year postpartum. Data were extracted for a random-effects meta-analysis to estimate the prevalence with 95 % confidence intervals (CIs). Subgroup and meta-regression analyses were conducted to analyze associations between study characteristics and prevalence estimates.

RESULTS

In total, 79 studies were included. The meta-analysis of studies on mothers generated estimates of prevalence for depression (29.2 %, 95 % CI, 21.8 %-37.9 %) and anxiety (37.7 %, 95 % CI, 24.1 %-53.6 %). The meta-analysis of fathers indicated a pooled depression prevalence of 17.4 % (95 % CI, 12.5 %-23.8 %) and an anxiety estimate of 18.3 % (95 % CI, 8.1 %-36.3 %). Assessment time points and methods as well as the geographic continent in which the study was conducted were significant moderators of depression and anxiety. Significant inter-correlations were found between mothers' and fathers' depression and anxiety symptoms (p < 0.05).

LIMITATIONS

Limited data from specific geographic continents, including Africa and Asia.

CONCLUSIONS

Prevalence of depression and anxiety among preterm infants' parents was high, highlighting the need for early psychological screening and assessment. Further research is required to improve services that focus on parents' postpartum psychological needs in the family context.

Spatial patterns in sociodemographic factors explain to a large extent the prevalence of hypertension and diabetes in Aragon (Spain)

Introduction

The global burden of multi-morbidity has become a major public health challenge due to the multi stakeholder action required to its prevention and control. The Social Determinants of Health approach is the basis for the establishment of health as a cross-cutting element of public policies toward enhanced and more efficient decision making for prevention and management.

Objective

To identify spatially varying relationships between the multi-morbidity of hypertension and diabetes and the sociodemographic settings (2015-2019) in Aragon (a mediterranean region of Northeastern Spain) from an ecological perspective.

Materials and methods

First, we compiled data on the prevalence of hypertension, diabetes, and sociodemographic variables to build a spatial geodatabase. Then, a Principal Component Analysis (PCA) was performed to derive regression variables, i.e., aggregating prevalence rates into a multi-morbidity component (stratified by sex) and sociodemographic covariate into a reduced but meaningful number of factors. Finally, we applied Geographically Weighted Regression (GWR) and cartographic design techniques to investigate the spatial variability of the relationships between multi-morbidity and sociodemographic variables.

Results

The GWR models revealed spatial explicit relationships with large heterogeneity. The sociodemographic environment participates in the explanation of the spatial behavior of multi-morbidity, reaching maximum local explained variance (R2) of 0.76 in men and 0.91 in women. The spatial gradient in the strength of the observed relationships was sharper in models addressing men's prevalence, while women's models attained more consistent and higher explanatory performance.

Conclusion

Modeling the prevalence of chronic diseases using GWR enables to identify specific areas in which the sociodemographic environment is explicitly manifested as a driving factor of multi-morbidity. This is step forward in supporting decision making as it highlights multi-scale contexts of vulnerability, hence allowing specific action suitable to the setting to be taken.

Prevalence of major depressive disorder in 51,658 otherwise healthy adult Danes: Sex differences in symptomatology and prediction of future anti-depressive medication

Major Depressive Disorder (MDD) is a heterogeneous disease, which displays sex differences in symptomatology. This study aimed to assess point prevalence of MDD in undiagnosed, healthy adults as well as sex differences in symptomatology and clarify if specific symptoms increased the later need for anti-depressive medication. The study included 51,658 blood donors. Depressive symptoms were assessed according to ICD-10 using the Major Depression Inventory. Demographics, previous MDD, anti-depressive medication were collected from questionnaires and population registers. Descriptive, Logistic and Cox regression analyses were conducted. In total, 1.15% participants met the criteria for MDD. Women were significantly more likely to experience "increased appetite" and less likely to experience "a feeling of life not worth living", compared to men. MDD significantly associated with an increased hazard of later receiving a prescription for anti-depressive medication. The risk increased proportionally with increasing MDD severity. The two symptoms, "feeling that life is not worth living" and "trouble sleeping" were the strongest individual predictive symptoms of future anti-depressive medication in women and men, respectively. The results confirm findings in MDD patient groups. The diagnostic and prognostic value should be investigated further to address their potential as part of the clinical assessment.

Socio-Economic Development and Mental Health: Case Study of the Spanish Region of Aragon (2010-20)

Introduction

Considering health as a cross-cutting element of all public policies leads to rethinking its interactions with the environment in which people live. The collection of large volumes of data by public administrations offers the opportunity to monitor and analyze the possible associations between health and territory. The increase in the incidence and prevalence of mental health diseases, particularly depression, justifies the need to develop studies that seek to identify links with the socioeconomic and environmental setting.

Objective

The objective of this study is to explain the behavior of the depression in a mediterranean region of Northeastern Spain from an ecological and diachronic perspective.

Methods

We conducted a correlation and multivariate logistic regression analysis to identify explanatory factors of the prevalence of depression in 2010 and 2020 and in the variation rate. Potential explanatory factors are related to the socioeconomic status and to the territorial development level.

Results

The regression models retained both socioeconomic and territorial development variables as predictors of the prevalence in both years and in the variation rate. Rural areas seem to play a protective role against the prevalence.

Conclusion

It is under the territorial prism that epidemiological studies could offer useful guidelines for proactive decision-making. The integration of data on diseases and territory must be considered when developing policies for the creation of healthier environments and for directing health services with more specific resources to where they may be needed.

Sociodemographic and cultural determinants of mood disorders

PURPOSE OF REVIEW

The present review aims to examine, summarize and update information on the sociodemographic and cultural determinants of mood disorders.

RECENT FINDINGS

Known sociodemographic and cultural determinants continue to be good predictors of the risk of developing a mood disorder over the lifetime. Polygenic risk scores do not appear to offer any advantages over these determinants at present. There is also new and emerging understanding of the role of lifestyle and environmental factors in mediating vulnerability to mood disorder. The influence of ethnicity and migration, on the other hand, is far more complex than initially envisaged.

SUMMARY

Recent evidence on sociodemographic determinants of mood disorders confirms associations derived from existing literature. There is also new and emerging evidence on how quality of sleep, diet and the environment influence risk of mood disorders. Culture and ethnicity, depending on context, may contribute to both vulnerability and resilience. Socioeconomic deprivation may be the final common pathway through which several sociodemographic and cultural determinants of mood disorders act.

Depressive Symptoms and Burnout in Football Players: A Systematic Review

The purpose of this article was to systematically review and organise the available literature devoted to the topic of depressive symptoms and burnout in football players. A systematic search was conducted in Web of Science, Scopus, SPORTdiscus, PubMed, and Psychinfo for articles published up to June 2020. The searches yielded 1589 articles, and after the screening process, a total of 18 studies met the eligibility criteria and were included for review. Playing position and conflicts with coach/management seems to have a direct influence on the prevalence of depressive symptoms in current players as do the injuries and life events of former players. During the pre-competition phase, most of the athletes displayed reduced rates, indicating burnout. An exploration of the mental health of football players will help to create models of care and guide professionals so that they may help players achieve better performance while also having better wellbeing. Understanding how to prevent and cope with the emotional wellbeing of football players will be possible to guide players and coaches.

Epidemiology and costs of depressive disorder in Spain: the EPICO study

Depressive Disorders are the most common psychiatric diagnoses in the general population. To estimate the frequency, costs associated with Depressive Disorders in usual clinical practice, and in the whole Spanish population, a longitudinal, retrospective, observational study was carried out using data from the BIG-PAC database®. Study population: all patients aged ≥ 18 years with a diagnosis of a Depressive Disorder in 2015-2017. Prevalence was computed as the proportion of Depressive Disorder cases in the adult general population, and the incidence rate, as the number of new Depressive Disorder cases diagnosed per 1,000 person-years in the population using health services, during 2015-2017. We collected demographic variables, comorbidity, direct health costs, and indirect costs (temporary and permanent disability). Health costs related to Depressive Disorders were estimated according to the annual resource use rate (resource/patient/year). Indirect costs were calculated according to the human capital method. Using the study data and information from the Spanish National Institute of Statistics, we estimated the cost of Depressive Disorders corresponding to the Spanish adult population, including premature mortality. 69,217 Depressive Disorder patients aged ≥ 18 years who met the inclusion/exclusion criteria were studied (mean age: 56.8 years; female: 71.4%). Prevalence of Depressive Disorders in the general population was 4.73% (95% CI: 4.70-4.76%). Annual incidence rates (2015-2017) were 7.12, 7.35 and 8.02 per 1,000 person-years, respectively. Total costs observed in our Depressive Disorder patients were € 223.9 million (corresponding to a mean of € 3,235.3; mean/patient/year), of which, 18.4% were direct health care costs and 81.6%, non-health indirect costs (18% temporary occupational disability, 63.6% permanent disability). Considering also the cost of premature death, the mean cost per patient/year was € 3,402 and the estimated societal costs of Depressive Disorders in Spain were € 6,145 million. The prevalence and incidence of Depressive Disorders are consistent with other series reviewed. Resource use and total costs (especially non-health costs) were high.

Dual trajectories of loneliness and depression and their baseline correlates over a 14-year follow-up period in older adults: Results from a nationally representative sample in Taiwan

AIMS

To explore the codevelopment between loneliness and depression in older adults, and to identify its potential baseline individual, family and extrafamilial correlates.

BACKGROUND

The number of older adults around the world has steadily increased over the last decades. Later life is a particularly vulnerable life stage due to multiple unfavourable conditions, and mental health in this stage appears to become an inescapable issue. Previous research has found the cross-sectional association between loneliness and depression, but their codevelopment has been understudied. Therefore, exploring the codevelopment and its correlates has significant implications for prevention and healthcare professionals.

DESIGN

A longitudinal follow-up study.

METHODS

The study used nationally representative data over a 14-year follow-up period from the Taiwan Longitudinal Study on Ageing focused on Taiwanese aged 60 years and above (n = 4049). Group-based trajectory modelling, group-based dual-trajectory modelling and multinomial logistic regression were the primary analytical methods.

RESULTS

We identified three distinct dual trajectories of loneliness and depression: longitudinal low-frequency lonely depressed (29.3%), longitudinal moderate-frequency lonely depressed (59.4%) and longitudinal high-frequency lonely depressed (11.3%). After considering several demographic and background characteristics, difficulty in physical functioning, number of physical symptoms and diseases, sleep quality and number of child deaths were found to be significantly associated.

CONCLUSION

Across the three identified dual-trajectory groups, they all showed a stable loneliness frequency pattern over time; however, the moderate-frequency group and high-frequency group both had a trajectory of increasing depression. It seems that depression tends to change over time in a worsening direction, especially for those with a certain frequency of loneliness. Furthermore, differences in individual and family correlates were found across the groups.

IMPLICATIONS FOR PRACTICE

Interventions focusing on the specific factors may help hinder coexisting loneliness and depression, and have implications for developing health promotion strategies and chronic disease care plans.

Prevalence of Common mental disorders in older adults: Results from the National Mental Health Survey of India

OBJECTIVE

We estimate the prevalence of common mental disorders (CMD) among older adults and compare them with that of younger adults at the national level.

METHOD

We analysed data on older adults from the National Mental Health Survey of India undertaken across 6 regions and 12 states of India during 2015-16. Multi-stage cluster sampling technique was adopted which permitted state level and subsequently pooled national estimates. Mini International NeuroPsychiatric Interview (MINI) adult version 6.0 was used for measuring psychiatric morbidity.

RESULTS

Older adults had a higher lifetime (6.93%) and current (3.53%) prevalence of depressive disorders as compared to the younger adults (4.96% and 2.54%). There was no difference in the prevalence of anxiety disorders in different agegroups. The most prevalent anxiety disorder in older adults was specific phobias (1.72%) followed by agoraphobia (1.6%). All CMD in the older population were more common in females, those living in urban metros, the unemployed, who were not currently married and those with lower household income.

DISCUSSION

These findings support planning better mental health policies and programs for older adults in India.

Grip Strength and Depression Symptoms Among Middle-Age and Older Adults

OBJECTIVE

To analyze the relationship between grip strength and symptoms of depression, considering sex and age, in adults from 18 countries.

METHODS

Cross-sectional data for adults 50 years and older from the Survey of Health, Aging, and Retirement in Europe wave 6 (collected in 2015) were analyzed. Grip strength was measured twice on each hand using a handgrip dynamometer. The EURO-D 12-item scale was used to measure depression symptoms. Multivariable logistic regression analysis was conducted. Data analyses were conducted between November 5, 2019, and February 7, 2020.

RESULTS

Men and women who were in quartiles 2, 3, and 4 of grip strength were less likely to have depression symptoms than those in the first quartile of grip strength. Having more grip strength decreased the odds of depression symptoms by 30% (odds ratio 0.70; 95% CI, 0.65 to 0.77) and 47% (odds ratio, 0.53; 95% CI, 0.49 to 0.57) for adults aged 50 to 64 years and 65 years and older, respectively, when compared with those with the lowest grip strength. The negative relationship between strong grip strength and depression symptoms was observed among men and women younger and older than 65 years.

CONCLUSION

There was an association between grip strength and depression symptoms. For clinical practice and geriatric health professionals, assessing adults' grip strength can be used as a signal to screen for physical and mental health.

Cross-sectional and prospective relationship between physical activity and depression symptoms

This study aimed to analyse the cross-sectional and prospective relationship between moderate and vigorous physical activity (PA) and depression symptoms. This study analysed 32,392 European late middle-aged to older adults, from 14 European countries across a 4-year follow-up. Data was collected in the fourth (in 2011) and sixth (in 2015) wave, from the Survey of Health, Ageing and Retirement in Europe (SHARE). For the present analysis, participants were considered who responded to the EURO-D 12-item scale of depression symptoms and reported the intensity and frequency of PA. ANCOVAs were conducted to assess the cross-sectional and prospective associations. For both men and women, engaging in moderate or vigorous PA in 2011 was associated with a lower score of depression in 2011 and 2015. From the prospective analysis, moderate and vigorous PA in 2011 was inversely associated with the score of depression. This association remains significant in the fully adjusted for self-rated health, sociodemographic characteristics, and the presence of chronic diseases. Moderate and vigorous PA at least once a week is negatively related to the score of depression, both in men and women. PA is negatively associated with depression symptoms, and from prospective analysis PA predicts lower depression scores 4 years later.

Association Between Ambient Air Pollution and Daily Hospital Admissions for Depression in 75 Chinese Cities

OBJECTIVE

Although the association between ambient air pollution and risk of depression has been investigated in several epidemiological studies, the evidence is still lacking for hospital admissions for depression, which indicates a more severe form of depressive episode. The authors used national morbidity data to investigate the association between short-term exposure to ambient air pollution and daily hospital admissions for depression.

METHODS

Using data from the Chinese national medical insurance databases for urban populations, the authors conducted a two-stage time-series analysis to investigate the associations of short-term exposure to major ambient air pollutants-fine particles (PM_2.5), inhalable particles (PM₁₀), nitrogen dioxide (NO₂), sulfur dioxide (SO₂), ozone (O₃), and carbon monoxide (CO)-and daily hospital admission risk for depression in 75 Chinese cities during the period 2013-2017.

RESULTS

The authors identified 111,620 hospital admissions for depression in 75 cities. In the single-pollutant models, the effect estimates of all included air pollutants, with the exception of O₃, were significant at several lags within 7 days. For example, 10 μg/m³ increases in PM_2.5, PM₁₀, and NO₂ at lag01 were associated with increases of 0.52% (95% CI=0.03, 1.01), 0.41% (95% CI=0.05, 0.78), and 1.78% (95% CI=0.73, 2.83), respectively, in daily hospital admissions for depression. Subgroup, sensitivity, and two-pollutant model analyses highlighted the robustness of the effect estimates for NO₂.

CONCLUSIONS

The study results suggest that short-term exposure to ambient air pollution is associated with an increased risk of daily hospital admission for depression in the general urban population in China, which may have important implications for improving mental wellness among the public.

Leisure-time physical activity is negatively associated with depression symptoms independently of the socioeconomic status

Objective: There are few studies evaluating the relationship between depression symptoms (DS) and physical activity (PA) considering peoples' sociodemographic characteristics. This study aimed to analyse the relationship between DS and PA, stratified by sociodemographic characteristics of European adults. Methods: Participants were 29,285 adults (13,943 men, 47.6%; 15,342 women, 52.4%), aged 50.9 ± 17.4 (50.6 ± 17.3 men, 51.1 ± 17.5 women) from the European Social Survey round 7. DS was assessed with the Centre for Epidemiological Studies Depression Scale (CES-D8). Leisure-time PA (LTPA) was self-reported. The analysed sociodemographic characteristics were sex, age, living place, household members, marital status, income, and educational level. The relationship between DS and PA, stratified by sociodemographic variables, was examined by linear regression models. Results: Engaging in LTPA was negatively and linearly related to DS, independently of being men or women, being younger, middle or older adult, living in an urban or rural area, having children or not, being single or married, being wealthy or poor, employment status, and to having a lower or a higher education level. Age was the variable with both the least and the greatest effect of LTPA on DS. The least effect of LTPA on DS was observed in younger adults (β = -0.08, 95% CI: -0.11, -0.05) and the greatest effect in retired people (β = -0.33, 95% CI: -0.36, -0.29). Conclusion: Independently of sociodemographic characteristics, LTPA is associated with DS and can benefit everyone. Public health policies for promoting mental health should include PA promotion as an important strategy for the prevention or treatment of DS.