The association between chronic illness, multimorbidity and depressive symptoms in an Australian primary care cohort

Frequency and predictors of depression and anxiety in chronic illnesses: A multi disease study across non-communicable and communicable diseases

BACKGROUND

Depression and anxiety are among the most common mental health conditions globally that impact the lifestyle of affected individuals. Mental conditions and chronic diseases are linked to each other bidirectionally. Depression and anxiety with comorbid chronic conditions are often neglected or under-screened and possess challenges in treatment. This study aimed to know the frequency and determinants of depression and anxiety along with the severity level among common chronic communicable and non-communicable diseases.

METHODS

We enrolled 200 healthy controls and 800 cases with equal number (n = 400) of patients with communicable and non-communicable diseases. Depression and anxiety were screened through Hamilton's rating scale for depression and anxiety separately. We also measured the determinants of severe depression among patients with chronic diseases. Data was analyzed through SPSS version 23.

RESULTS

We found higher frequency of depression (31% vs 11%; p=<0.001) and anxiety (13.25% vs 6%; p = 0.021) among cases as compared to healthy controls respectively. We found higher levels of depression among participants with non-communicable diseases as compared to communicable diseases (37.25% vs 24.75%; p < 0.05) respectively. Moreover, there was a higher frequency of anxiety in participants with communicable diseases as compared to those with non-communicable diseases, but the difference was non-significant (14% vs 12.5% p = 0.081). Among non-communicable diseases the highest percentage was found among individuals with cancer (67%), followed by diabetes (38%), cardiovascular diseases (33%) and respiratory disorders (11%). Among participants with communicable diseases, the highest percentage of depression was found in patients with Tuberculosis (29%) followed by HIV/AIDS (28%), Long COVID-19 (25%) and Hepatitis B/C (17%).

CONCLUSION

There is a significantly higher percentage of depression and anxiety among participants with chronic diseases. It calls for a comprehensive approach to patient care that incorporates mental health as a fundamental aspect of the treatment and management of chronic diseases. Understanding the predictors of severe depression across different chronic conditions helps in stratifying patients who may benefit most from integrated psychiatric and psychological interventions.

Chronic health conditions and disability are prevalent among community users of a digital mental health service: a scoping survey

Objectives: Digital interventions can offer accessible and scalable treatment for chronic conditions, though often focus separately on physical or mental health. People accessing digital health services may live with multiple conditions or experience overlapping symptoms. This study aimed to describe the breadth and characteristics of chronic health conditions and self-reported disability among routine users of a digital mental health service, and to examine related motivations to engage with digital mental health interventions.

Methods: A cross-sectional survey of adults registered with a digital mental health service in the Australian community (THIS WAY UP) was conducted. Participant demography, chronic health conditions, self-reported disability and motivations for accessing digital treatment were collected and analyzed descriptively.

Results: 366 participants responded (77% female, mean age 50 ± 15 years). 71.6% of participants (242/338) reported ≥1 chronic health condition and one-third reported multimorbidity (112/338, 33.1%). Chronic pain, musculoskeletal and connective tissue disorders were most common. 26.9% of respondents (90/334) reported a disability, most commonly physical disabilities. 95% of those with chronic conditions reported negative mental health effects and 46% reported heightened interest in digital mental health treatments because of their condition. Primary motivations for digital service use were receiving a recommendation from a health professional and service accessibility.

Discussion: People who access digital mental health services in routine care report high rates of heterogenous chronic illness and related disability. There is interest in accessible digital treatments to support mental health at scale among people who live with varied chronic conditions and disabilities.

Prevalence of Depression and Associated Factors Among Older People in Gezira State, Sudan: A Cross Sectional Study

Background and Aims

Sudan's ageing population is growing rapidly, yet research on the psychological health and depression mainly among the elderly is limited. Ageing research is urgently needed to offer critical data for policy formation and program implementation. This study was aimed to address the prevalence and associated factors of depression among older people in Gezira state, Sudan.

Methods

A cross-sectional study was conducted to collect data from older adults at the household level in Gezira State between January and December 2021. The 15-item Geriatric Depression Scale-15 was utilized to facilitate face-to-face interviews with a sample of 1068 participants. Both descriptive and inferential statistical methods, including the Chi-square test and logistic regression analysis, were employed to analyze the data.

Results

A total of 1068 elderly individuals participated in the study, with a depression prevalence rate of 44%. Several factors were found to be significantly associated with depression, including illiteracy (OR = 1.411, 95% CI [1.030-1.933]), being unmarried (OR = 1.500, 95% CI [1.071-2.099]), having diabetes (OR = 1.489, 95% CI [1.102-1.940]), and heart disease (OR = 1.902, 95% CI [1.001-3.614]). Additional factors included disability (OR = 2.360, 95% CI [1.683-3.310]), poor self-rated health (OR = 1.900, 95% CI [1.426-2.533]), lack of regular contact with relatives (OR = 1.595, 95% CI [1.073-2.371]), and consuming fewer than three meals per day (OR = 2.882, 95% CI [0.942-8.818]).

Conclusion

The findings of this study contribute valuable new data to the field of geriatric health, particularly in the area of psychological well-being. Building upon previous research, the results of the current study can inform the development of strategies aimed at mitigating depression among the elderly population in Sudan.

Prevalence of psychiatric comorbidities in females with classic congenital adrenal hyperplasia

CONTEXT

Although the increased burden of mental health problems among patients with classic 46,XX congenital adrenal hyperplasia (CAH) is well-documented, it remains unclear if this comorbidity is attributable to the burden of living with a chronic medical condition or the potential psychosocial/sexual consequences of being born with a difference of sex development (DSD) and its associated clinical management.

OBJECTIVES

To compare the prevalence of psychiatric diagnoses among CAH patients and three reference groups: matched males and females from the general population, and females with type-1 diabetes mellitus (T1DM).

DESIGN

Retrospective cross-sectional study.

SETTING

Three large integrated health systems.

PARTICIPANTS

CAH patients (n=115), general population male and female referents (n=1150 per group), and 66,002 female T1DM referents.

RESULTS

The prevalence of depression, anxiety, personality disorders, and suicidal ideation was higher among CAH participants than in males and females from the general population, but similar to or lower than in T1DM referents. CAH patients were more likely to be diagnosed with neurodevelopmental disorders compared to both female reference groups, whereas the prevalence of elimination disorders (predominantly enuresis) and gender dysphoria was higher in the CAH cohort than in all reference groups.

CONCLUSION

Females with classic CAH experience a higher burden of psychiatric illness, including anxiety and depression, compared to demographically similar men and women in the general population. The similar psychiatric burden between females with CAH and T1DM suggests that morbidity may be influenced by the challenges associated with managing a chronic condition. Investigating long-term mental health trajectories in this population will require longitudinal studies.

Challenges and Opportunities in Managing Geriatric Depression: The Role of Personalized Medicine and Age-Appropriate Therapeutic Approaches

The global aging population has experienced rapid growth in recent decades, leading to an increased prevalence of psychiatric disorders, particularly depression, among older adults. Depression in the geriatric population is often compounded by chronic physical conditions and various psychosocial factors, significantly impacting their quality of life. The main question raised in this review is as follows: how can personalized medicine and age-appropriate therapeutic approaches improve the management of geriatric depression? This paper explores the epidemiology of geriatric depression, highlighting the influence of gender, race, and socioeconomic status on its prevalence. The classification and diagnosis of geriatric depressive disorders, based on ICD-11 and DSM-5 criteria, reveal the complexity of managing these conditions in older adults. Personalized medicine (PM) emerges as a promising approach, focusing on tailoring treatments to the individual's genetic, clinical, and environmental characteristics. However, the application of PM in this demographic faces challenges, particularly in the context of pharmaceutical forms. The need for age-appropriate drug delivery systems is critical, given the prevalence of polypharmacy and issues such as dysphagia among the older patients. This study emphasizes the importance of developing patient-centric formulations to enhance the effectiveness of personalized therapy in geriatric patients.

Association between chronic disease status and transitions in depressive symptoms among middle-aged and older Chinese population: Insights from a Markov model-based cohort study

BACKGROUND

The relationship between chronic disease status (CDS) and transitions in depressive symptoms (DS) remains unclear. This study explores the association between CDS and DS transitions.

METHODS

This cohort study analyzed data from 8175 participants aged 45+, sourced from China Family Panel Studies (2016, 2018, 2020). DS were assessed using a brief version of Center for Epidemiologic Studies Depression Scale (CES-D). CDS was categorized into healthy, single disease, and multimorbidity. Markov models were used to estimate state transition intensities, mean sojourn times and hazard ratios (HRs).

RESULTS

DS transitions occurred between adjacent and non-adjacent states, but transition intensity between adjacent states was higher than among non-adjacent states. Self-transition intensities of severe-DS, mild-DS, and non-DS progressively increased, with average durations of 1.365, 1.482, and 7.854 years, respectively. Both single disease and multimorbidity were significantly associated with an increased risk of transitioning from non-DS to mild-DS, with multimorbidity showing a stronger association. In contrast, HRs for single diseases transitioning from mild-DS to severe-DS were significantly lower than 1. Furthermore, their HRs were almost <1 in recovery transitions but not statistically significant.

LIMITATIONS

Specific chronic diseases and their combinations were not analyzed.

CONCLUSIONS

The progression of DS exhibits various pathways. CDS is associated with DS transitions, but the roles of single disease and multimorbidity may differ across different DS progression stages. Both conditions were significantly linked to the risk of new-onset DS, with multimorbidity posing a greater association. However, this relationship is not observed in other progression stages. These findings could provide insights for early prevention and intervention for DS.

A Structural Equation Modelling Approach to Examine the Mediating Effect of Stress on Diet in Culturally Diverse Women of Childbearing Age

Background: Stress has been shown to be associated with poor nutrition among young women. However, studies around the topic have major limitations in their methodologies and the role of confounding factors within this association remains unclear in the literature. Objective: To investigate the associations between stress and dietary quality/patterns in a culturally diverse population of childbearing-aged women. Methods: A secondary analysis of data from two studies conducted in UK and Lebanon was performed using Structural Equation Modelling (SEM) to explore the role of country context, socio-economic status, and physical variables. Participants were healthy women of childbearing age (n = 493). Variables measured were dietary intake, stress, physical activity, sociodemographic variables, and Body Mass Index. These were included in the SEM analysis to examine the mediating effect of stress. Results: The results showed that, among all variables, only country had a significant effect on dietary quality and patterns through the mediatory effect of stress. Participants from Lebanon were found to have higher stress levels compared to participants from the UK, and this contributed to a lower adherence to a Mediterranean diet. Conclusions: This study shows that for women of childbearing age, having a good diet quality/pattern is dependent on stress levels and country context.

Conducting mental health research with rural and regional older Australians: Reflections and recommendations

AIMS

This commentary aims to assist emerging leaders of mental health research with older rural Australians through (i) affirmation that others share the barriers, pitfalls and challenges being faced; (ii) reinforcing the rationale making this a pertinent area for research; and (iii) opening a dialogue for best practice to engage older rural Australians in mental health research.

CONTEXT

Supporting the mental health of older adults is a pertinent global challenge, none more so than in rural Australia where restricted access to services and supports are compounded by limited help-seeking behaviours and capacity to engage with support. Paradoxically, such limitations also extend to impact researchers' ability to engage rural older Australians in mental health research, particularly when combined with the stoicism and stigma that often envelopes mental health, and the contemporary challenges posed by the emergence of technology. Such challenges are however not often discussed, more-often sidelined in favour of reporting positive research outcomes, or seeing emerging researchers eschew such focus entirely.

APPROACH

Through this paper, the authors utilised critical self-appraisal and iterative reflection to identify four recommendations for undertaking contemporary mental health research with rural older Australians, namely to: plan realistically through a collaborative, authentic and respectful approach; identify community champions and build/maintain trust; diversify thought, approaches and methodology; and cast the research net far, wide and often.

CONCLUSION

By adopting recommendations, researchers can maximise accessibility to and possible participation in mental health research, providing foundations for older rural Australians' contributions to inform the development of policies and strategies to promote their health and well-being.

The BigMove Intervention for People With Physical and Mental Health Conditions: A First Evaluation of Self-Perceived Health, Quality of Life, Coping and Mental and Social Functioning

Background

The BigMove intervention aims to improve the functioning and quality of life of people with physical and mental health conditions via an integrated care approach. This pilot study evaluates the impact of the intervention on self-perceived health (SPH), quality of life (QoL), active coping behaviour, and mental and social functioning.

Methods

Data were analysed from N = 457 participants who had been referred to the intervention by their general practitioner (mean age 48.98 years; 76% female). Three patient-reported and one clinician-rated measures were used: SPH, QoL (MANSA), active coping behaviour (UPCC-ACT), mental and social functioning (HoNOS). Pre- and post-intervention measurements (from 2011 to 2018) were compared using paired-samples t-tests. Due to missing data, analyses were conducted with 205-257 participants per completed outcome. Associations with age and sex were assessed using repeated-measures ANOVA. Clinically relevant change was evaluated with the Edwards-Nunnally index and standard error of measurement (SEM) scores.

Results

Post-intervention, there were statistically significant improvements for all outcomes (p < 0.0001) with moderate to large effect sizes (d = 0.41 to 1.02). The observed changes in outcomes can be considered as clinically relevant improvements.

Conclusion

This pilot study provides preliminary evidence that the intervention has positive effects on SPH, QoL, active coping behaviour, and mental and social functioning.

Evidence-Based Therapist-Supported Digital Mental Health Intervention for Patients Experiencing Medical Multimorbidity: A Retrospective Cohort Intent-to-Treat Study

OBJECTIVE

Multimorbidity or the co-occurrence of multiple health conditions is increasing globally and is associated with significant psychological complications. It is unclear whether digital mental health (DMH) interventions for patients experiencing multimorbidity are effective, particularly given that this patient population faces more treatment resistance. The goal of the current study was to examine the impact of smartphone-delivered DMH interventions for patients presenting with elevated internalizing symptoms that have reported multiple lifetime medical conditions.

METHODS

This preregistered (see https://osf.io/vh2et/ ) retrospective cohort intent-to-treat study with 2819 patients enrolled in a therapist-supported DMH intervention examined the associations between medical multimorbidity (MMB) and mental health outcomes.

RESULTS

Results indicated that more MMB was significantly associated with greater presenting mental health symptom severity. MMB did not have a deleterious influence on depressive symptom trajectories across treatment, although having one medical condition was associated with a steeper decrease in anxiety symptoms compared to patients with no medical conditions. Finally, MMB was not associated with time to dropout, but was associated with higher dropout and was differentially associated with fewer beneficial treatment outcomes, although this is likely attributable to higher presenting symptom severity, rather than lesser symptom reductions during treatment.

CONCLUSIONS

Overall, the Meru Health Program was associated with large effect size decreases in depressive and anxiety symptoms regardless of the number of MMB. Future DMH treatments and research might investigate tailored barrier reduction and extended treatment lengths for patients experiencing MMB to allow for greater treatment dose to reduce symptoms below clinical outcome thresholds.

Construction of a machine learning-based risk prediction model for depression in middle-aged and elderly hypertensive people in China: a longitudinal study

Background

Hypertension is a common chronic disease that can trigger symptoms such as anxiety and depression. Therefore, it is essential to predict their risk of depression. The aim of this study is to find the best prediction model and provide effective intervention strategies for health professionals.

Methods

The study subjects were 2733 middle-aged and older adults who participated in the China Health and Retirement Longitudinal Study (CHARLS) between 2018 and 2020. R software was used for Lasso regression analysis to screen the best predictor variables, and logistic regression, random forest and XGBoost models were constructed. Finally, the prediction efficiency of the three models was compared.

Results

In this study, 18 variables were included, and LASSO regression screened out 10 variables that were important for the establishment of the model. Among the three models, Logistic Regression model showed the best performance in various evaluation indicators.

Conclusion

The prediction model based on machine learning can accurately assess the likelihood of depression in middle-aged and elderly patients with hypertension in the next three years. And by combining Logistic regression and nomograms, we were able to provide a clear interpretation of personalized risk predictions.

Changes in multimorbidity among hospitalized adults in the US

Objective

This investigation examines burden of comorbidity measured by the Charlson Comorbidity Index (CCI) and Elixhauser Comorbidity Index (ECI) among inpatients based on age, sex, and race.

Methods

Cross-sectional analysis of 2012-2018 US NIS datasets. Participants were inpatients 55y+. ICD-9/10 codes for admitting diagnoses were used to calculate disease burden using the CCI and ECI. Unweighted mean CCI and ECI scores were compared across demographic variables.

Results

An increase in mean CCI and ECI scores across age, sex, and races (p<.001) was identified. Compared to the youngest age group (55-59y), all age groups had higher mean CCI and ECI adjusting for time (p<.001). Increases were greatest in older age groups until age 80-84 for CCI and 85-89 for ECI. The female group had lower CCI adjusting for time (p<.001) compared to males. There was no difference between sex groups in mean ECI (p=.409). Compared with the White group, all other race groups had higher mean CCI adjusting for time (p<.001). Black inpatients had the highest CCI followed by Native American inpatients. Findings were similar for ECI, but with no difference between Hispanic and White groups (p=.434).

Conclusions

Growing multimorbidity burden among adult inpatients across age, sex, and race supports the continued need for programs for preventing and reducing multimorbidity, especially among communities that experience health inequity including older, Black, and Native American patients.

Prevalence of Mental Disorders Among Patients with Multimorbidity Visiting Primary Care Settings in Slums of Karachi, Pakistan

BACKGROUND

Anxiety and depression often exacerbate multimorbidity conditions, leading to increased disability rates among affected individuals.

OBJECTIVE

The study aimed to assess the mental health status of individuals with multimorbidity belonging to the marginalized population of Karachi, Pakistan. Specifically, the prevalence of anxiety and depression was investigated.

METHODS

A multicenter cross-sectional study was conducted between July 2022 and June 2023 in 10 primary healthcare clinics located in 4 peri-urban areas of Karachi. A total of 9331 participants were included in the study. The Patient Health Questionnaire 4 (PHQ-4), Generalized Anxiety Disorder 7 (GAD-7), and Patient Health Questionnaire 9 (PHQ-9) were used to assess symptoms of anxiety and depression. The data collected were analyzed using the statistical analysis system (SAS) version 9.4.

RESULTS

Among the study participants, 2894 (31%) were men and 5534 (59.3%) were women. The prevalence of moderate to severe anxiety was 31% among men and 59.3% among women. The age group between 41 and 60 years exhibited the highest rates of moderate to severe anxiety, 19.3% as evaluated by GAD-7 and 34.6% by PHQ-9. The Pathan ethnic group had the highest prevalence of anxiety (11%) and depression (28.3%) in the neighborhoods. Unemployed participants showed moderate to severe anxiety in 21.3% of the cases and moderate to severe depression in 25.5% of the cases.

CONCLUSION

The study revealed a significant cooccurrence of anxiety and depression among individuals with multimorbidity in the marginalized population of Karachi, Pakistan. Furthermore, the presence of anxiety symptoms in multimorbidity patients with depression indicates a more unfavorable health state. It is essential to explore the implementation of screening measures and therapeutic interventions for comorbid anxiety and depression in this population to improve clinical outcomes.

PROTOCOL: Non-pharmacological interventions for older people with a diagnosis of depression: An evidence and gap map

This is the protocol for an evidence and gap map. The objectives are as follows: To map available randomized control trials, economic evaluations, and systematic reviews that assess the effectiveness and cost-effectiveness of non-pharmacological interventions for older people with a diagnosis of depression and identify any existing gaps in the evidence that can inform future research.

Feasibility and outcomes of using DIALOG+ in primary care to improve quality of life and mental distress of patients with long-term physical conditions: an exploratory non-controlled study in Bosnia and Herzegovina, Colombia and Uganda

INTRODUCTION

The management of long-term physical conditions is a challenge worldwide, absorbing a majority resources despite the importance of acute care. The management of these conditions is done largely in primary care and so interventions to improve primary care could have an enormous impact. However, very little data exist on how to do this. Mental distress is frequently comorbid with long term physical conditions, and can impact on health behaviour and adherence, leading to poorer outcomes. DIALOG+ is a low-cost, patient-centred and solution-focused intervention, which is used in routine patient-clinician meetings and has been shown to improve outcomes in mental health care. The question arises as to whether it could also be used in primary care to improve the quality of life and mental health of patients with long-term physical conditions. This is particularly important for low- and middle-income countries with limited health care resources.

METHODS

An exploratory non-controlled multi-site trial was conducted in Bosnia and Herzegovina, Colombia, and Uganda. Feasibility was determined by recruitment, retention, and session completion. Patient outcomes (quality of life, anxiety and depression symptoms, objective social situation) were assessed at baseline and after three approximately monthly DIALOG+ sessions.

RESULTS

A total of 117 patients were enrolled in the study, 25 in Bosnia and Herzegovina, 32 in Colombia, and 60 in Uganda. In each country, more than 75% of anticipated participants were recruited, with retention rates over 90% and completion of the intervention exceeding 92%. Patients had significantly higher quality of life and fewer anxiety and depression symptoms at post-intervention follow-up, with moderate to large effect sizes. There were no significant improvements in objective social situation.

CONCLUSION

The findings from this exploratory trial suggest that DIALOG+ is feasible in primary care settings for patients with long-term physical conditions and may substantially improve patient outcomes. Future research may test implementation and effectiveness of DIALOG+ in randomized controlled trials in wider primary care settings in low- and middle-income countries.

TRIAL REGISTRATION

All studies were registered prospectively within the ISRCTN Registry. ISRCTN17003451, 02/12/2020 (Bosnia and Herzegovina), ISRCTN14018729, 01/12/2020 (Colombia) and ISRCTN50335796, 02/12/2020 (Uganda).

Depression and thoughts of self-harm and suicide among people living with dementia: results of a cross-sectional survey

BACKGROUND

Depression is common among people with dementia. Despite most people with dementia living in the community, there have been few investigations of self-reported depressive symptoms and suicidal ideation among community-dwelling people with dementia in Australia. This study aimed to explore the proportion of people with mild, moderate and severe levels of depressive symptoms, and suicidal ideation among a sample of people living with dementia in Australia. Correlates of reporting depressive symptoms were also explored.

METHODS

Adults diagnosed with dementia by a medical professional who were English speaking and community-dwelling were asked to complete a paper and pencil survey. Those who were unable to provide independent consent were excluded. Depression was assessed using the Geriatric Depression Scale -15, and suicidal ideation was assessed using two study-specific items. Multivariable analyses examined quality of life, unmet needs and sociodemographic factors associated with having a score of five or more on the Geriatric Depression Scale-15.

RESULTS

Ninety-four people participated in the study. Thirty-seven percent (n = 35) reported some level of depressive symptoms, with most of these (21%, n = 20) classified as having mild depressive symptoms. Five participants (5%) reported they had had thoughts of being better off dead or hurting themselves, while three (3%) reported having had a plan to end their life. For each additional unmet need, the odds of being depressed increased by 25%(P < 0.001). For each point increase in quality of life, the odds of being depressed decreased by 48% (P < 0.001).

CONCLUSIONS

The high proportion of people with dementia who report depressive symptoms suggests the need to routinely assess depressive symptoms among this group. There may also be benefits in assessing unmet needs and addressing these where possible as part of an approach to reducing depression among people living with dementia in the community.

Impact of Advanced Age on the Incidence of Major Adverse Cardiovascular Events in Patients with Type 2 Diabetes Mellitus and Stable Coronary Artery Disease in a Real-World Setting in Spain

Patients with type 2 diabetes mellitus (T2DM) and coronary artery disease (CAD) without myocardial infarction (MI) or stroke are at high risk for major cardiovascular events (MACEs). We aimed to provide real-world data on age-related clinical characteristics, treatment management, and incidence of major cardiovascular outcomes in T2DM-CAD patients in Spain from 2014 to 2018. We used EHRead® technology, which is based on natural language processing and machine learning, to extract unstructured clinical information from electronic health records (EHRs) from 12 hospitals. Of the 4072 included patients, 30.9% were younger than 65 years (66.3% male), 34.2% were aged 65-75 years (66.4% male), and 34.8% were older than 75 years (54.3% male). These older patients were more likely to have hypertension (OR 2.85), angina (OR 1.64), heart valve disease (OR 2.13), or peripheral vascular disease (OR 2.38) than those aged <65 years (p < 0.001 for all comparisons). In general, they were also more likely to receive pharmacological and interventional treatments. Moreover, these patients had a significantly higher risk of MACEs (HR 1.29; p = 0.003) and ischemic stroke (HR 2.39; p < 0.001). In summary, patients with T2DM-CAD in routine clinical practice tend to be older, have more comorbidities, are more heavily treated, and have a higher risk of developing MACE than is commonly assumed from clinical trial data.

Oxidative balance scores and depressive symptoms: Mediating effects of oxidative stress and inflammatory factors

BACKGROUND

Few studies have examined the combined effects of dietary and lifestyle factors on depressive symptoms. This study aimed to evaluate the association between oxidative balance score (OBS) and depressive symptoms and the underlying mechanisms.

METHODS

A total of 21,283 adults from the 2007 to 2018 National Health and Nutrition Examination Survey (NHANES) were included. Depressive symptoms were defined as a total score of ≥10 on the Patient's Health Questionnaire (PHQ-9). Twenty dietary and lifestyle factors were selected to calculate the OBS. Multivariable logistic regression analyses were used to evaluate the association between OBS and depression risk. Mediation analyses were conducted to explore the roles of oxidative stress and inflammatory markers.

RESULTS

In multivariate model, a significant negative association was found between OBS and depression risk. Compared with those in OBS tertile 1, participants in tertile 3 had lower odds of developing depressive symptoms (OR:0.50; 95 % CI:0.40-0.62; P < 0.001). Restricted cubic splines showed a linear relationship between OBS and depression risk (P for nonlinearity = 0.67). Moreover, higher OBS was found to be associated with lower depression scores (β = -0.07; 95 % CI:-0.08, -0.05; P < 0.001). GGT concentrations and WBC counts mediated the association between OBS and depression scores by 5.72 % and 5.42 %, respectively (both P < 0.001), with a joint mediated effect of 10.77 % (P < 0.001).

LIMITATIONS

This study was a cross-sectional design making it difficult to infer a causal association.

CONCLUSIONS

OBS is negatively associated with depression, which may be mediated in part by oxidative stress and inflammation.

The association between comorbidities and self-care of heart failure: a cross-sectional study

BACKGROUND

Because heart failure (HF) is a debilitating chronic cardiac condition and increases with age, most patients with HF experience a broad range of coexisting chronic morbidities. Comorbidities present challenges for patients with HF to successfully perform self-care, but it is unknown what types and number of comorbidities influence HF patients' self-care. The purpose of this study was to explore whether the number of cardiovascular and non-cardiovascular conditions are associated with HF self-care.

METHODS

Secondary data analysis was performed with 590 patients with HF. The number of cardiovascular and non-cardiovascular conditions was calculated using the list of conditions in the Charlson Comorbidity Index. Self-care was measured with the European HF self-care behavior scale. Multivariable linear regression was performed to explore the relationship between the types and number of comorbidities and self-care.

RESULTS

Univariate analysis revealed that a greater number of non-cardiovascular comorbidities was associated with poorer HF self-care(β=-0.103), but not of more cardiovascular comorbidities. In the multivariate analysis, this relationship disappeared after adjusting for covariates. Perceived control and depressive symptoms were associated with HF self-care.

CONCLUSION

The significant relationship between the number of non-cardiovascular comorbidities and HF self-care was not independent of perceived control and depressive symptoms. This result suggests a possible mediating effect of perceived control and depressive symptoms on the relationship between HF self-care and the number and type of comorbidities.

Health asymmetry as a predictor of depressive symptomatology over time among older European adults: A growth curve analysis

OBJECTIVE

Subjective (SH) and objective health (OH) measures are associated with depressive symptomatology in older adults. We explored whether the discrepancy between SH and OH (operationalised as 'health asymmetry' with four categories: 'health optimistic', 'health pessimistic' and 'good health realistic' and 'poor health realistic') may also relate to depressive symptomatology 1) cross-sectionally, and 2) longitudinally, among older European adults.

METHODS

Adults (n = 26,520), aged 50+, from 11 European countries, were assessed over six waves of data collection (2006-2020) in the SHARE study. A hierarchical multi-level growth curve model explored whether health asymmetry was associated with depressive symptomology at baseline, and with depressive symptom trajectories across time, accounting for country of origin.

RESULTS

At baseline, 11.8% of older adults were classified as health pessimistic, with 15.5% being health optimistic, 42.9% being poor health realistic and 29.8% being good health realistic. A positive linear trend in depressive symptomatology was noted across 14 years of SHARE data (β = 0.11, p < .001). Health pessimists displayed higher levels of depressive symptoms than both health realistic groups and health optimists. However, health pessimists experienced a less steep increase in depressive symptoms across time (β = -0.10, p < .001), relative to good health realists.

CONCLUSION

Health pessimists experience elevated levels of depressive symptoms, but show less growth in depressive symptomatology than expected. Further research is required to understand the underlying causes of the varying depressive symptom trajectories among these groups.

Rural-Urban disparities in self-reported physical/mental multimorbidity: A cross-sectional study of self-reported mental health and physical health among working age adults in the U.S

Purpose

Self-rated physical health (SRPH) and self-rated mental health (SRMH) are both linked to excess morbidity and premature mortality and can vary across rural and urban contexts. This can be particularly problematic for rural residents who have less access to important health care infrastructure. In this paper, we assess the prevalence of and rural-urban disparities at the intersection of SRPH and SRMH, specifically self-rated physical/mental multimorbidity (SRPMM) overall and across rural-urban contexts.

Methods

Using a cross-sectional demographically representative national dataset of over 4000 working age adults in the U.S., we expose rural-urban differences in the prevalence of SRPMM and explore individual-level factors that may explain this disparity.

Results

Approximately 15 percent of working age adults reported SRPMM, but rural adults were at higher risk than their urban counterparts. However, this disadvantage disappeared for remote rural working-age adults and was attenuated for metro-adjacent rural working-age adults when we controlled for the fact that rural adults had lower household incomes.

Conclusion

Findings reveal a higher risk of SRPMM among rural adults, in part because of lower incomes among this group. This work acts as the foundation for facilitating research on and addressing rural-urban disparities in SRPMM.

The Influence of Social Support on Depression among Elderly People in Serbia

Social factors such as social support, integration, and belonging to the community are positive resources against adverse events and living conditions. This study at examining the influence of social support on depression among elderly people in Serbia. The research was done according to the type of cross-sectional study, a mass survey of a random, representative stratified two-stage sample of the population of Serbia in 2013, which was conducted by the Ministry of Health of the Republic of Serbia. The target population consisted of 3540 respondents aged 65 and over. The Patient Health Questionnaire-8 (PHQ-8) was used to evaluate the presence of depressive symptoms and the social support score from the questionnaire Oslo-3 scale of social support. The relations between depression symptoms and social support were examined with univariate logistic regression analyses. In the univariate regression model, social support stood out as a strong predictor of depression. People with weak social support are three and a half times more likely (OR = 3.45) to have depression compared to those with strong social support. Men with small social support were more likely to have depression (OR = 5.08) than women (OR = 3.41). These results indicate the urgency of addressing depression as a public health priority to reduce the burden and disability and improve the overall health of the elderly population.

Predictors and outcomes in primary depression care (POKAL) - a research training group develops an innovative approach to collaborative care

BACKGROUND

The interdisciplinary research training group (POKAL) aims to improve care for patients with depression and multimorbidity in primary care. POKAL includes nine projects within the framework of the Chronic Care Model (CCM). In addition, POKAL will train young (mental) health professionals in research competences within primary care settings. POKAL will address specific challenges in diagnosis (reliability of diagnosis, ignoring suicidal risks), in treatment (insufficient patient involvement, highly fragmented care and inappropriate long-time anti-depressive medication) and in implementation of innovations (insufficient guideline adherence, use of irrelevant patient outcomes, ignoring relevant context factors) in primary depression care.

METHODS

In 2021 POKAL started with a first group of 16 trainees in general practice (GPs), pharmacy, psychology, public health, informatics, etc. The program is scheduled for at least 6 years, so a second group of trainees starting in 2024 will also have three years of research-time. Experienced principal investigators (PIs) supervise all trainees in their specific projects. All projects refer to the CCM and focus on the diagnostic, therapeutic, and implementation challenges.

RESULTS

The first cohort of the POKAL research training group will develop and test new depression-specific diagnostics (hermeneutical strategies, predicting models, screening for suicidal ideation), treatment (primary-care based psycho-education, modulating factors in depression monitoring, strategies of de-prescribing) and implementation in primary care (guideline implementation, use of patient-assessed data, identification of relevant context factors). Based on those results the second cohort of trainees and their PIs will run two major trials to proof innovations in primary care-based a) diagnostics and b) treatment for depression.

CONCLUSION

The research and training programme POKAL aims to provide appropriate approaches for depression diagnosis and treatment in primary care.

Health-related quality of life in endometriosis: The influence of endometriosis-related symptom presence and distress

This international cross-sectional study examined the relationships between endometriosis-related symptom experience and health-related quality of life (HRQoL) in 318 women with endometriosis. Measures of symptom burden and distress, pain, psychological wellbeing, and HRQoL were collected via an online survey. Age, symptom duration, burden, and distress were associated with lower psychological wellbeing and HRQoL, with small to medium effect sizes. Somatic concern, depression, pain, dysmenorrhea, clitoral pain, dyspareunia, and bloating were found to be significant correlates of HRQoL. The findings highlight the importance of considering a broader range of endometriosis-related symptoms than pain alone and the ongoing need to reduce diagnostic delay in endometriosis.

The Role of Dietary Glycemic Index and Glycemic Load in Mediating Genetic Susceptibility via MC4R s17782313 Genotypes to Affect Cardiometabolic Risk Factors among Apparently Healthy Obese Individuals

Background

The association of genetic and dietary factors with occurrence and progression of chronic diseases such as metabolic syndrome (MetS) has long been addressed but there is a lack of evidence for complex interrelationships, including direct and indirect effects of these variables. Hence, this study is aimed at evaluating the mediating role of glycemic indices in the association of melanocortin-4 receptor (MC4R) rs17782313 polymorphism, sociodemographic, and psychological factors with the risk of MetS in obese adults using structural equation modeling.

Methods

We performed a cross-sectional analysis of data from 287 apparently healthy adults. Dietary glycemic index (GI) and glycemic load (GL) were calculated from a validated 147-item food frequency questionnaire (FFQ). MC4R s17782313 genotypes were determined by polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method. Structural equation modeling was used to explore direct and indirect effects of genetic and nongenetic factors on MetS.

Results

MC4R gene variant was directly associated with the risk of MetS (B = 0.010; P = 0.023). On the other hand, this variant was found to be indirectly and positively associated with LDL-C (B = 6.589; P = 0.042) through mediatory effects of GI and GL. Moreover, GI and GL also mediated indirect positive effects of sex and age on LDL-C (B = 3.970; P ≤ 0.01; B = 0.878; P ≤ 0.01, respectively) and HDL (B = 2.203; P ≤ 0.01; B = 0.129; P ≤ 0.01, respectively). MC4R rs17782313 polymorphism had positive effects on GI (B = 1.577; P ≤ 0.01) and GL (B = 1.235; P ≤ 0.01).

Conclusion

Our data may state a hypothesis of the mediating effect of quantity and quality of carbohydrates consumed in relationship between genetic susceptibility to obesity and cardiometabolic risk factors. Further analyses should be carried out in high-quality cohort studies in order to confirm the findings.

The Economic Burden Associated with Depressive Symptoms among Middle-Aged and Elderly People with Chronic Diseases in China

Coexisting physical diseases and depressive symptoms exacerbate morbidity and disability, but their incremental economic burden remains unclear. We used cross-sectional data from the China Health and Retirement Longitudinal Study (CHARLS) survey in 2018 to estimate the economic burden associated with depressive symptoms among middle-aged and elderly people with chronic diseases. A multivariable regression model was used to assess the annual health care utilization, expenditures, and productivity loss of depressive symptoms among people with 12 common chronic diseases. We found that depressive symptoms were associated with higher incremental economic burdens, as the total health care costs increased by 3.1% to 85.0% and annual productivity loss increased by 1.6% to 90.1%. Those with cancer or malignant tumors had the largest economic burden associated with depressive symptoms, with CNY 17,273.7 additional annual health care costs and a loss of CNY 2196.2 due to additional annual productivity loss. The effect of depressive symptoms on the economic burden of patients with chronic conditions did not increase by the number of chronic conditions. Considering the high economic burden associated with depressive symptoms among patients with chronic conditions, it is important to consider the mental health of patients in chronic disease treatment and management.

Coping with Multiple Chronic Conditions in the Family Context: A Meta-Synthesis

This study was to collect, synthesize, and interpret the current qualitative evidence from studies that investigated family coping among people with multiple chronic conditions (MCCs). A meta-synthesis approach was used to report this study. A systematic search was performed in five electronic databases, including CINAHL, EMBASE, PsycINFO, Web of Science, and PubMed from January 2000 to December 2020. The PRISMA flow chart and Joanna Briggs Institute Qualitative Assessment and Review Instrument checklist are integrated into the meta-synthesis. A total of ten eligible studies including data from 381 participants were identified. Three meta-themes were identified in the synthesis: (1) family role maintenance in MCCs management, (2) coping as a family, and (3) be frustrated with family interactions. This meta-synthesis indicated the importance of maintaining social roles and family support within family interactions for coping with MCCs. It also demonstrated the frustrations in the family coping process experienced by people with MCCs. Health care professionals should understand the interactions between people with MCCs and their family members that may impact people's coping. Such an understanding may contribute to the development of supportive programs such as family-based interventions for people with MCCs.

Predictors of Psychosocial Adaptation and Mental Well-Being Among People With Chronic Illnesses and Disabilities in Hong Kong

Psychosocial adaptation to chronic illness and disability (CID) involves a complex interplay of the client’s background factors with resilience and coping. To date, there have been few studies on psychosocial adaptation to CID in the Chinese context. To examine the predictors of psychosocial adaptation, we surveyed people with CID from community-rehabilitation settings and self-help groups ( N = 224). The research questionnaire collected information on demographics, health-related factors, social support, resilience, coping strategies, psychosocial adaptation, and mental well-being. Resilience, coping strategies, health-related factors, and sex were found to be important predictors of psychosocial adaptation. Using structural equation modeling (SEM), we tested a conceptual model on how social support and health-related factors predict adjustment variables (resilience and coping strategies), which further affect psychosocial adaptation and mental well-being. All the variables are closely linked and the path coefficients are all significant. An overall fair model fit (comparative fit index [CFI] = 0.89; root mean square error of approximation [RMSEA] = 0.089) was obtained. The results provide support for the conceptual model we proposed based on health-related coping and the phase model of psychosocial adaptation. The key predictors of psychosocial adaptation and mental well-being in Chinese people with CID in Hong Kong are similar to those identified in non-Chinese studies.

Efficacy and safety of vortioxetine in treatment of patients with major depressive disorder and common co-morbid physical illness

BACKGROUND

The multimodal antidepressant vortioxetine is effective in reducing somatic symptoms in patients with major depressive disorder (MDD), but little is known about its effects in reducing depressive symptoms in patients with common comorbid physical illnesses.

METHODS

This was a pooled analysis of 13 randomized, placebo-controlled trials which evaluated the efficacy (using the Montgomery-Åsberg Depression Rating Scale [MADRS]) and safety of vortioxetine (5-20 mg/day) in adult patients with MDD. We evaluated stable somatic comorbid conditions that were verified by a diagnosis and had sufficient database representation.

RESULTS

Of the 5982 patients included in the database, 963 (16.1%) patients had a diagnosis of cardiovascular disease, 152 (2.5%) had diabetes mellitus and 26 (0.4%) had chronic obstructive pulmonary disorder (COPD). At Week 8, adjusted mean[95%CI] treatment differences (vortioxetine vs. placebo) on MADRS total scores were -2.7[-4.2, -1.3] (p = 0.0002) points for the cardiovascular disease, -4.0[-7.7, -0.4] (p = 0.03) for the diabetes, and -6.2[-21.3, 8.9] (p = 0.36) for the COPD groups. The rate and pattern of adverse events were similar across the sub-groups with comorbidities and was consistent with that expected for vortioxetine treatment.

LIMITATIONS

The primary studies were not designed to investigate the relationship between vortioxetine and comorbidities, nor were the post hoc analyses powered to detect group differences.

CONCLUSIONS

Patients with MDD and comorbid cardiovascular disease or diabetes respond to vortioxetine in a similar way to the broader MDD population. Vortioxetine was generally safe and well tolerated and without unexpected adverse events in these subpopulations, most of whom are taking multiple concomitant medications.

Evaluation of a Digital Self-management Platform for Patients With Chronic Illness in Primary Care: Qualitative Study of Stakeholders' Perspectives

BACKGROUND

Population aging and multimorbidity has led to increasing chronic care needs associated with new challenges in managing growing costs, rising health care professional workloads, and the adoption of rigorous guidelines. These issues could all benefit from greater digitalization and a more patient-centered approach to chronic care, a situation brought to the fore by the COVID-19 pandemic. Little is known about real-life use in primary care.

OBJECTIVE

This study aimed to explore the views, thoughts, usability, and experiences concerning a recently introduced digital self-care platform for chronic conditions in 3 Dutch primary care practices.

METHODS

We conducted an explorative study combining questionnaires and interviews among patients and general practitioners from 3 general practices that used the digital platform. Questionnaires were sent to patients in each practice to seek the views and experiences of both patient nonusers (n=20) and patient users (n=58) of the platform, together with standardized questionnaires about illness perception and quality of life. In addition, patients (n=15) and general practitioners (n=4) who used the platform took part in semistructured interviews. We transcribed interviews verbatim and performed qualitative content analysis using a deductive approach. The results of the questionnaires were analyzed with descriptive analysis.

RESULTS

Among patients who had not actively used the platform but had received an explanation, only 35% (7/20) would recommend its use due to concerns over communication and handling. However, this percentage increased to 76.3% (45/59) among the people who actively used the platform. Interviews with patients and general practitioners who used the platform uncovered several key benefits, including reduced time requirements, reduced workload, improved care quality, and improved accessibility due to the greater patient-centeredness and use of different communication tools. In addition, the self-management tool led to greater patient autonomy and empowerment. Although users considered the platform feasible, usable, and easy to use, some technical issues remained and some patients expressed concerns about the reduction in human contact and feedback.

CONCLUSIONS

The overall experience and usability of the platform was good. Support for the online self-management platform for chronic care increased when patients actively used the tool and could experience or identify important advantages. However, patients still noted several areas for improvement that need to be tackled in future iterations. To ensure benefit in the wider population, we must also evaluate this platform in cohorts with lower digital and health literacy.

Multimorbidity and Mental Health Trajectories Among Middle-Aged and Older U.S. Adults During the COVID-19 Pandemic: Longitudinal Findings From the COVID-19 Coping Study

Background and Objectives

This study aimed to examine the associations between multimorbidity at the COVID-19 pandemic onset and subsequent longitudinal trajectories of depressive symptoms, anxiety symptoms, and loneliness in middle-aged and older adults over a 12-month follow-up.

Research Design and Methods

Data were from monthly online questionnaires in the COVID-19 Coping Study of U.S. adults aged ≥55 from April/May 2020 through April/May 2021 (N = 4,024). Multimorbidity was defined as having ≥2 versus <2 chronic conditions at baseline. Mental health outcomes were assessed monthly as depressive symptoms (8-item Center for Epidemiologic Studies Depression scale), anxiety symptoms (5-item Beck Anxiety Inventory), and loneliness (3-item UCLA Loneliness Scale). We used multivariable-adjusted population- and attrition-weighted mixed-effects linear models to examine the longitudinal associations between multimorbidity and mental health symptoms.

Results

Multimorbidity at the pandemic onset was associated with elevated depressive (b = 0.37; 95% CI: 0.16-0.59) and anxiety (b = 0.39; 95% CI: 0.15-0.62) symptoms at baseline. Changes in symptoms for all three mental health outcomes were nonlinear over time, with worsening symptoms over the first 6 months of the pandemic (April/May to September/October 2020), followed by improvement in symptoms over the subsequent 6 months (September/October 2020 to April/May 2021). Middle-aged and older adults with multimorbidity experienced faster rates of change in anxiety symptoms and loneliness than those without multimorbidity, with persistently elevated mental health symptomatology throughout the follow-up.

Discussion and Implications

Results highlight the unique and persistent mental health risks experienced by middle-aged and older adults with multimorbidity during the COVID-19 pandemic. The observed improvements in symptoms underscore the mental resilience of these individuals, indicating their adaptation to the ongoing pandemic.

Impact of multimorbidity and complex multimorbidity on mortality among older Australians aged 45 years and over: a large population-based record linkage study

OBJECTIVES

Multimorbidity (MM, co-occurrence of two or more chronic conditions) and complex multimorbidity (CMM, three or more chronic conditions affecting three or more different body systems) are used in the assessment of complex healthcare needs and their impact on health outcomes. However, little is known about the impacts of MM and CMM on mortality in Australia.

DESIGN

Community-based prospective cohort study.

SETTING

New South Wales, Australia.

PARTICIPANTS

People aged 45 years and over who completed the baseline survey of the 45 and Up Study.

MEASURES

Baseline survey data from the 45 and Up Study were linked with deaths registry data. Deaths that occurred within 8 years from the baseline survey date were the study outcome. Eleven self-reported chronic conditions (cancer, heart disease, diabetes, stroke, Parkinson's disease, depression/anxiety, asthma, allergic rhinitis, hypertension, thrombosis and musculoskeletal conditions) from the baseline survey were included in the MM and CMM classifications. Cox proportional hazard models were used to estimate adjusted and unadjusted 8-year mortality hazard ratios (HRs).

RESULTS

Of 251 689 people (53% female and 54% aged ≥60 years) in the cohort, 111 084 (44.1%) were classified as having MM and 39 478 (15.7%) as having CMM. During the 8-year follow-up, there were 25 891 deaths. Cancer (34.7%) was the most prevalent chronic condition and the cardiovascular system (50.9%) was the body system most affected by a chronic condition. MM and CMM were associated with a 37% (adjusted HR 1.36, 95% CI 1.32 to 1.40) and a 22% (adjusted HR 1.22, 95% CI 1.18 to 1.25) increased risk of death, respectively. The relative impact of MM and CMM on mortality decreased as age increased.

CONCLUSION

MM and CMM were common in older Australian adults; and MM was a better predictor of all-cause mortality risk than CMM. Higher mortality risk in those aged 45-59 years indicates tailored, person-centred integrated care interventions and better access to holistic healthcare are needed for this age group.

The association of physical illness and low-grade inflammatory markers with depressive symptoms in a large NHANES community sample: Dissecting mediating and moderating effects

BACKGROUND

Both low-grade elevation in peripheral inflammatory markers (e.g., white blood count (WBC) and C-reactive protein (CRP)) and physical illness (both chronic and acute) have been associated with depressive symptomology. However, it is unclear if low-grade elevation in inflammatory markers mediates relationships between physical illness and depression or if physical illness positively moderates relationships between inflammatory markers and depression.

METHODS

In a well-powered, racially diverse cohort (n = 21,525) from NHANES datasets, we examined if inflammatory markers (CRP and WBC) and physical illnesses (acute and chronic) were independently associated with depression severity. We also examined if associations between physical illness and depression severity were mediated by inflammatory markers and if physical illness moderated associations between inflammatory markers and depression.

RESULTS

We found that both inflammatory markers and physical illness were associated with depression severity, even after considering a wide range of potential confounders (e.g., age, gender, body mass index). Inflammatory markers mediated a marginal portion (<5%; p < 0.001) of potential effects of physical illness on depression severity. In moderation analyses, associations between inflammatory markers and depression severity were significantly stronger in participants with chronic physical illness than those without. This moderating effect was not present for acute physical illness.

CONCLUSIONS

Inflammatory markers and physical illness appear independently linked to depression severity and, in individuals with chronic physical illness, inflammatory markers are more tightly connected to depressive symptomology. Such findings could help guide future individualized treatment research for depression based on both inflammatory marker level and physical illness burden.

Physical multimorbidity and psychological distress among Chinese older adults: Findings from Chinese Longitudinal Healthy Longevity Survey

BACKGROUND

Research has linked multimorbidity with psychological distress among people with multimorbidity but the available findings are inconsistent. This study was to investigate the prevalence of multimorbidity and incidence of psychological distress in a nationally representative sample of Chinese older adults and examine the association between multimorbidity and psychological distress in this population.

METHODS

This study was a cross-sectional, secondary analysis using data from the Chinese Longitudinal Healthy Longevity Survey (CLHLS). Participants' socio-demographic characteristics and clinical information were obtained. Psychological distress including anxiety and depression were assessed by the Generalized Anxiety Disorder-7 (GAD-7) and the Center for Epidemiologic Studies Depression Scale (10-item CES-D). Binary logistic regression was used to ascertain the association between multimorbidity and psychological distress with covariates adjustment.

RESULTS

Compared with those without physical chronic conditions, having five or more physical chronic conditions was associated with the likelihood of depression after covariates adjustment.

CONCLUSION

Psychological distress is a common health issue among Chinese older adults with multimorbidity. Having multimorbidity might not be associated with psychological distress represented by anxiety and depression. Management of multimorbidity among this population would benefit from more attention on the mental health domain.

Bidirectional association between depression and multimorbidity in middle-aged and elderly Chinese adults: a longitudinal cohort study

BACKGROUND

Few studies have investigated the bidirectional association between depression and multimorbidity from a longitudinal perspective. We aimed to explore the bidirectional relationship between depression and multimorbidity in a middle-aged and elderly Chinese population.

METHODS

Participants aged 45 years and older from the China Health and Retirement Longitudinal Study (CHARLS) were included. Depression was measured with a 10-item version of the Center for Epidemiological Studies Depression Scale (CESD-10). In stage I, we assessed the association of baseline depression with follow-up multimorbidity. In stage II, we examined whether multimorbidity increases the risk of depression. Logistic regression models were used to estimate the odds ratios (ORs) and confidence intervals (CIs). The ORs were then converted to risk ratios (RRs) using a proposed formula.

RESULTS

A total of 7056 subjects without multimorbidity and 7587 subjects without depression at baseline were included in stage I and stage II. In stage I, the adjusted RRs (95% CIs) of depressed participants developing one disease, two diseases, three diseases, and ≥4 diseases were 1.15 (0.96-1.35), 1.64 (1.36-1.99), 1.84 (1.44-2.35) and 2.42 (1.75-3.34), respectively. In stage II, compared with individuals without any disease, the adjusted RRs (95% CIs) of developing depression for individuals carrying one disease, two diseases, three diseases, and ≥4 diseases were 1.08 (0.96-1.22), 1.39 (1.22-1.57), 1.46 (1.23-1.70) and 1.62 (1.34-1.93), respectively.

CONCLUSIONS

Baseline depression increases the risk of future multimorbidity, and multimorbidity also contributes to an increased risk of incident depression in middle-aged and elderly Chinese adults.

Infertility treatment and postpartum mental illness: a population-based cohort study

BACKGROUND

Subfertility and infertility treatment can be stressful experiences, but it is unknown whether each predisposes to postpartum mental illness. We sought to evaluate associations between subfertility or infertility treatment and postpartum mental illness.

METHODS

We conducted a population-based cohort study of individuals without pre-existing mental illness who gave birth in Ontario, Canada, from 2006 to 2014, stratified by fertility exposure: subfertility without infertility treatment; noninvasive infertility treatment (intrauterine insemination); invasive infertility treatment (in vitro fertilization); and no reproductive assistance. The primary outcome was mental illness occurring 365 days or sooner after birth (defined as ≥ 2 outpatient visits, an emergency department visit or a hospital admission with a mood, anxiety, psychotic, or substance use disorder, self-harm event or other mental illness). We used multivariable Poisson regression with robust error variance to assess associations between fertility exposure and postpartum mental illness.

RESULTS

The study cohort comprised 786 064 births (mean age 30.42 yr, standard deviation 5.30 yr), including 78 283 with subfertility without treatment, 9178 with noninvasive infertility treatment, 9633 with invasive infertility treatment and 688 970 without reproductive assistance. Postpartum mental illness occurred in 60.8 per 1000 births among individuals without reproductive assistance. Relative to individuals without reproductive assistance, those with subfertility had a higher adjusted relative risk of postpartum mental illness (1.14, 95% confidence interval 1.10-1.17), which was similar in noninvasive and invasive infertility treatment groups.

INTERPRETATION

Subfertility or infertility treatment conferred a slightly higher risk of postpartum mental illness compared with no reproductive assistance. Further research should elucidate whether the stress of infertility, its treatment or physician selection contributes to this association.

Patterns of cardiometabolic multimorbidity and the risk of depressive symptoms in a longitudinal cohort of middle-aged and older Chinese

BACKGROUND

Cardiometabolic diseases (CMDs) are associated with depression. However, it is unclear whether coexisting CMDs may increase the risk of depression. We examined associations between cardiometabolic multimorbidity and depressive symptoms among middle-aged and older Chinese.

METHODS

Participants aged ≥45 years were enrolled from the China Health and Retirement Longitudinal Study 2011-2018 (N = 18,002). Cardiometabolic multimorbidity was defined as the coexistence of ≥2 CMDs, including stroke, heart disease, diabetes, hypertension, and dyslipidemia. Depressive symptoms were assessed by the Center for Epidemiological Studies Depression Scale. We used generalized estimating equation models to examine associations between cardiometabolic multimorbidity and depressive symptoms, including the dose effect of disease count and prevalent disease combinations, as well as individual and additive effects of specific CMDs.

RESULTS

The prevalence of cardiometabolic multimorbidity was 24.5%. A higher number of CMDs had an additive dose effect on depressive symptoms that persisted consistently in specific CMDs. Stroke only, heart disease only, and diabetes only were each associated with a higher risk of depressive symptoms compared with no CMDs. CMD combinations involving stroke, heart disease, or diabetes were each associated with an increased risk of depressive symptoms compared with the absence of stroke, heart disease, or diabetes.

LIMITATION

Self-reported chronic conditions.

CONCLUSION

Stroke, heart disease, and diabetes showed individual and additive effects on CMD combinations, whereas hypertension and dyslipidemia only showed associations with depressive symptoms in combinations with other CMDs. These results suggest person-centered healthcare of mental health prevention and treatment for middle-aged and older adults with individual or multiple CMDs.

Characterizing primary care for patients with major depressive disorder using electronic health records of a US-based healthcare provider

BACKGROUND

Major depressive disorder (MDD) is predominantly managed in primary care. However, primary care providers (PCPs) may not consistently follow evidence-based treatment algorithms, leading to variable patient management that can impact outcomes.

METHODS

We retrospectively analyzed adult patients with MDD seen at Geisinger, an integrated health system. Utilizing electronic health record (EHR) data, we classified patients as having MDD based on International Classification of Disease (ICD)-9/10 codes or a Patient Health Questionnaire (PHQ)-9 score ≥5. Outcomes assessed included time to first visit with a PCP or behavioral health specialist following diagnosis, antidepressant medication switching, persistence, healthcare resource utilization (HRU), and treatment costs.

RESULTS

Among the 38,321 patients with MDD managed in primary care in this study, significant delays between diagnosis with antidepressant prescribing and follow-up PCP visits were observed. There was also considerable variation in care following diagnosis. Overall, 34.9% of patients with an ICD-9/10 diagnosis of MDD and 41.3% with a PHQ-9 score ≥15 switched antidepressants. An ICD-9/10 diagnosis, but not moderately severe to severe depression, was associated with higher costs and HRU. More than 75% of patients with MDD discontinued antidepressant medication within 6 months.

LIMITATIONS

The study population was comparable with other real-world studies of MDD, but study limitations include its retrospective nature and reliance on the accuracy of EHRs.

CONCLUSIONS

Management of patients with MDD in a primary care setting is variable. Addressing these gaps will have important implications for ensuring optimal patient management, which may reduce HRU and treatment medication costs, and improve treatment persistence.

Association between multimorbidity, self-rated health and life satisfaction among independent, community-dwelling very old persons in Japan: longitudinal cohort analysis from the Kawasaki Ageing and Well-being Project

OBJECTIVE

This study aimed to identify associations between multimorbidity and subjective health outcomes among the very old persons, after adjusting for coexisting conditions such as frailty and depression.

STUDY SETTING AND PARTICIPANTS

This was an observational cross-sectional study involving 1012 independent, community-dwelling very old persons (507 men, 505 women; aged 85-89 years) in Kawasaki city, Japan.

OUTCOME MEASURES

The primary outcome was the cross-sectional associations between multimorbidity and poor self-rated health (SRH) and life satisfaction using binary logistic regression. The secondary outcome was the association of subjective health with each chronic condition.

RESULTS

The prevalence of multimorbidity (≥2 conditions) was 94.7%, and the average number of chronic conditions was 4.47±1.9. Multimorbidity was significantly associated with poor SRH in the adjusted model only when six or more chronic conditions were present (OR 4.80; 95% CI 1.34 to 17.11; p=0.016). Cerebrovascular disease, heart disease, respiratory disease, connective tissue disease and arthritis showed significant associations with poor SRH after multivariate adjustment. Sex-specific analysis replicated associations between multimorbidity with six or more conditions and SRH in both men and women, while the diseases with the greatest impact on SRH differed between men and women. Most conditions were not associated with low satisfaction with life scale, with the exception of arthritis (OR 1.92, 95% CI 1.32 to 2.78, p=0.001).

CONCLUSIONS

Multimorbidity is prevalent in the independent, community-dwelling very old persons and is associated with poor SRH when six or more conditions are present; conditions causing mobility limitations, such as cerebrovascular disease, connective tissue disease and arthritis, have a negative impact on SRH.

TRIAL REGISTRATION NUMBER

UMIN000026053.

Ethnic variation, socioeconomic status, and factors associated with cardio-metabolic multi-morbidity among uncontrolled hypertension in multiethnic Singapore

Identifying patients with hypertension at high risk of cardio-metabolic multi-morbidity (CMM) is key for intervention. We examined the independent association of CMM with ethnicity and socioeconomic status (SES) among patients with uncontrolled hypertension. Demographic, socioeconomic, lifestyle, and clinical factors were obtained from 921 patients aged ≥40 years with hypertension in the multiethnic Singapore. CMM was defined as having ≥2 chronic diseases (diabetes mellitus, heart disease, stroke, and chronic kidney disease), which were confirmed by medical records or laboratory measurements. The overall CMM prevalence was 20.9% (95% confidence interval [CI]: 18.4-23.6%). The CMM prevalence was higher in Malays (27.1%) and Indians (30.2%) than Chinese (18.8%), and it was higher among patients with lower SES (ranging from 21.3 to 23.9% using education, employment status, housing ownership and housing types as proxies) compared to those with higher SES (13.1-20.8%). In a multivariate model comprising demographic and socioeconomic factors (age, sex, ethnicity and SES), higher CMM odds were independently associated with ethnic minorities (Malays [OR 1.81; 95% CI: 1.10-2.98] or Indians [OR 2.21; 95% CI: 1.49-3.29] vs. Chinese) and lower SES (unemployment [OR 1.45; 95% CI: 1.02-2.05] and residing in smaller public housing [OR 1.95; 95% CI: 1.16-3.28]). Other correlates of CMM included age, men, central obesity, and poorer dietary quality (lower fruits and vegetables intakes). CMM affected one out of five patients with hypertension in Singapore. Intervention programs should target patients with hypertension, particularly those of ethnic minorities and from lower socioeconomic strata.

Predictors of self-compassion in endometriosis: the role of psychological health and endometriosis symptom burden

STUDY QUESTION

What is the relationship between self-compassion, endometriosis-related symptoms and psychological health in women with symptomatic endometriosis?

SUMMARY ANSWER

Decreased self-compassion is associated with increased psychological distress, extended diagnostic delay and varies according to individual endometriosis-symptom profile.

WHAT IS KNOWN ALREADY

Existing research indicates that endometriosis is associated with reduced psychological health and varied endometriosis-related symptom profiles. Examining the level of self-compassion reported by women with endometriosis is important as greater self-compassion has been found to improve psychological well-being in several chronic health populations.

STUDY DESIGN, SIZE, DURATION

This study utilized a cross-sectional survey design to explore the relationship between self-compassion, psychological health and endometriosis-related symptoms (n = 318).

PARTICIPANTS/MATERIALS, SETTING, METHODS

Women with a self-reported diagnosis of endometriosis were recruited via online advertising through social media platforms. Demographic and endometriosis-specific information (e.g. disease stage, diagnostic delay, symptom experience) was collected in addition to psychological health and self-compassion. Psychological health was measured by the PROMIS Emotional Distress and Anxiety short forms and the Patient Health Questionnaire (PHQ-15). Self-compassion was measured by the Self-Compassion Scale (26-item). Independent t-tests, bivariate correlations and linear regression analyses explored the relationship between specific endometriosis-related symptoms, psychological health and self-compassion.

MAIN RESULTS AND THE ROLE OF CHANCE

Hierarchical multiple regression indicated that psychological symptoms accounted for the greatest variance in levels of self-compassion in the current sample. Depression and anxiety were found to be significant negative predictors of self-compassion. Notable symptoms that were significant in the final model were the presence of dysmenorrhea, lower back pain, dyspareunia, pain after sexual intercourse, fatigue and nausea.

LIMITATIONS, REASONS FOR CAUTION

The cross-sectional nature of the findings prevents direct findings of causality. The information pertaining to endometriosis was self-report in nature and was not medically verified.

WIDER IMPLICATIONS OF THE FINDINGS

These preliminary findings indicate the importance of clinical interventions aimed at enhancing self-compassion and the importance of individual case conceptualization and treatment planning based on endometriosis-related symptomatic profiles.

STUDY FUNDING/COMPETING INTEREST(S)

The study was not associated with research funding. Author L.V.N. is a member of the Endometriosis Australia Clinical Advisory Committee.

TRIAL REGISTRATION NUMBER

N/A.

Impact of Multimorbidity on Symptoms of Depression, Anxiety, and Stress in Older Adults: Is There a Sex Difference?

Introduction: Multimorbidity has become a key issue in the health care sector globally, and it can also lead to psychological distress in older adults. This study aimed to assess the impact of multimorbidity on depression, anxiety, and stress symptoms and identify whether there is a sex difference in these associations.

Methods: A cross-sectional study using a multistage random sampling method was conducted among 3,266 older adults in China. Multiple linear regression models were used to estimate the independent associations between multimorbidity and depression, anxiety, and stress symptoms. Furthermore, interaction analysis was employed to investigate the interaction effect of multimorbidity and sex on depression, anxiety, and stress symptoms.

Results: A total of 3,250 participants aged 60 years and older were included in this study. Our findings suggest that multimorbidity is strongly positively associated with depression, anxiety, and stress symptoms. In addition, the positive relations between multimorbidity and depression, anxiety, and stress symptoms are stronger for older female than male adults.

Conclusion: Old adults with multimorbidity are more likely have depression, anxiety, and stress symptoms. This study offers new insight for the mental health from the perspective of multimorbidity among older people, implies that encouraging the accessibility of treatment for multimorbidity in older people with different sex may be effective in promoting mental health in China.

Physical-mental health comorbidity: A population-based cross-sectional study

BACKGROUND

Multimorbidity is associated with physical-mental health comorbidity (PMHC). However, the scope of overlap between physical and mental conditions, associated factors, as well as types of mental illness involved are not well described in Eastern Europe. This study aims to assess the PMHC burden in the Estonian population.

METHODS

In this population-based cross-sectional study we obtained health claims data for 55 chronic conditions from the Estonian Health Insurance Fund (EHIF) database, which captures data for all publicly insured individuals (n = 1 240 927 or 94.1% of the total population as of 31 December 2017). We assessed the period-prevalence (3 years) of chronic physical and mental health disorders, as well as associations between them, by age and sex.

RESULTS

Half of the individuals (49.1% (95% CI 49.0-49.3)) had one or more chronic conditions. Mental health disorders (MHD) were present in 8.1% (8.1-8.2) of individuals, being higher among older age groups, women, and individuals with a higher number of physical conditions. PMHC was present in 6.2% (6.1-6.2) of the study population, and 13.1% (13.0-13.2) of the subjects with any chronic physical disorder also presented with at least one MHD. Dominating MHDs among PMHC patients were anxiety and depression. The prevalence of MHD was positively correlated with the number of physical disorders. We observed variation in the type of MHD as the number of physical comorbidities increased. The prevalence of anxiety, depression, and mental and behavioral disorders due to the misuse of alcohol and other psychoactive substances increased as physical comorbidities increased, but the prevalence of schizophrenia and dementia decreased with each additional physical disease. After adjusting for age and sex, this negative association changed the sign to a positive association in the case of dementia and mental and behavioral disorders due to psychoactive substance misuse.

CONCLUSIONS

The burden of physical-mental comorbidity in the Estonian population is relatively high. Further research is required to identify clusters of overlapping physical and mental disorders as well as the interactions between these conditions. Public health interventions may include structural changes to health care delivery, such as an increased emphasis on integrated care models that reduce barriers to mental health care.

Mental distress of parents with chronic diseases during the COVID-19 pandemic in Australia: A prospective cohort study

OBJECTIVE

To-date there has been limited examination of the experience of the COVID-19 pandemic in parents who suffer from chronic physical conditions. We aimed to 1) examine whether presence of a chronic disease predicts differential latent distress profile memberships, and 2) assess factors that could predict different distress profiles in the sub-group of parents with a chronic disease.

METHODS

We used a sample of 1618 parents, from the longitudinal COVID-19 Pandemic Adjustment Study, who completed a measure of mental distress (Depression, Anxiety and Stress Scale) at 13 data collection points. Distress profiles were assessed with the latent profile analysis.

RESULTS

We identified four distinct mental distress profile memberships, with the most common membership characterised by very low (48.1%), followed by low (31.9%), moderate (15.7%), and high (4.3%) distress scores. A higher proportion of parents with chronic diseases belonged to profiles experiencing low (34.7% vs. 30.4%), moderate (18.7% vs. 14.1%), and high (5.5% vs. 3.7%) compared to very low (41.2% vs. 51.8%) distress levels than other parents. Residing in Victoria, younger age, lower levels of social support and appraisal of COVID as risk were associated with membership to higher compared to very low distress profiles.

CONCLUSION

Our findings highlight the importance of considering chronic disease co-morbidity as an additive risk factor in addressing mental health outcomes of parents during pandemic-like events, since parents with chronic conditions are more vulnerable to experiencing worse mental distress. Future interventions should focus on ways to strengthen social support and provide guidance for managing threat appraisal.

Interventions for improving outcomes in patients with multimorbidity in primary care and community setting: a systematic review

BACKGROUND

Multimorbidity, defined as the co-existence of two or more chronic conditions, presents significant challenges to patients, healthcare providers and health systems. Despite this, there is ongoing uncertainty about the most effective ways to manage patients with multimorbidity. This review updated and narrowed the focus of a previous Cochrane review and aimed to determine the effectiveness of interventions designed to improve outcomes in people with multimorbidity in primary care and community settings, compared to usual care.

METHODS

We searched eight databases and two trials registers up to 9 September 2019. Two review authors independently screened potentially eligible titles and selected studies, extracted data, evaluated study quality and judged the certainty of the evidence (GRADE). Interventions were grouped by their predominant focus into care-coordination/self-management support, self-management support and medicines management. Main outcomes were health-related quality of life (HRQoL) and mental health. Meta-analyses were conducted, where possible, but the synthesis was predominantly narrative.

RESULTS

We included 16 RCTs with 4753 participants, the majority being older adults with at least three conditions. There were eight care-coordination/self-management support studies, four self-management support studies and four medicines management studies. There was little or no evidence of an effect on primary outcomes of HRQoL (MD 0.03, 95% CI -0.01 to 0.07, I2 = 39%) and mental health or on secondary outcomes with a small number of studies reporting that care coordination may improve patient experience of care and self-management support may improve patient health behaviours. Overall, the certainty of the evidence was graded as low due to significant variation in study participants and interventions.

CONCLUSIONS

There are remaining uncertainties about the effectiveness of interventions for people with multimorbidity, despite the growing number of RCTs conducted in this area. Our findings suggest that future research should consider patient experience of care, optimising medicines management and targeted patient health behaviours such as exercise.

Feasibility, experiences and outcomes of using DIALOG+ in primary care to improve quality of life and mental distress of patients with chronic conditions: an exploratory non-controlled trial in Bosnia and Herzegovina, Colombia and Uganda

BACKGROUND

DIALOG+ is a resource-oriented and evidence-based intervention to improve quality of life and reduce mental distress. While it has been extensively studied in mental health care, there is little evidence for how to use it in primary care settings for patients with chronic physical conditions. Considering that DIALOG+ is used in existing routine patient-clinician meetings and is very low cost, it may have the potential to help large numbers of patients with chronic physical conditions, mental distress and poor quality of life who are treated in primary care. This is particularly relevant in low- and middle-income countries (LMICs) where resources for specialised services for such patients are scarce or non-existent.

METHODS

An exploratory non-controlled trial will be conducted to primarily assess the feasibility and acceptability and, secondarily, outcomes of delivering DIALOG+ to patients with chronic physical conditions and poor quality of life in primary care settings in Bosnia and Herzegovina, Colombia and Uganda. Thirty patients in each country will receive DIALOG+ up to three times in monthly meetings over a 3-month period. Feasibility will be assessed by determining the extent to which the intervention is implemented as planned. Experiences will be captured in interviews and focus groups with care providers and participants to understand acceptability. Quality of life, symptoms of anxiety and depression, objective social situation and health status will be assessed at baseline and again after the three-session intervention.

DISCUSSION

This study will inform our understanding of the extent to which DIALOG+ may be used in the routine care of patients with chronic physical conditions in different primary care settings. The findings of this exploratory trial can inform the design of future full randomised controlled trials of DIALOG+ in primary care settings in LMICs.

TRIAL REGISTRATION

All studies were registered prospectively (on 02/12/2020 for Uganda and Bosnia and Herzegovina, and 01/12/2020 for Colombia) within the ISRCTN Registry. ISRCTN17003451 (Bosnia and Herzegovina), ISRCTN14018729 (Colombia) and ISRCTN50335796 (Uganda). Protocol version and date: v2.0; 28/07/2020 (Bosnia and Herzegovina), v0.3 02/08/2020 (Colombia) and v1.0, 05/11/2020 (Uganda).

Functional limitations in people with multimorbidity and the association with mental health conditions: Baseline data from the Canadian Longitudinal Study on Aging (CLSA)

INTRODUCTION

Increasing multimorbidity is often associated with declining physical functioning, with some studies showing a disproportionate impact on functioning when mental health conditions are present. More research is needed because most multimorbidity studies exclude mental health conditions.

OBJECTIVES

This study aims to improve our understanding of the association between functional limitation and multimorbidity, including a comparison of those with multimorbidity that includes versus excludes mental health conditions.

METHODS

This is a population-based, cross-sectional analysis of data from The Canadian Longitudinal Study on Aging. Functional limitation was defined as the presence of any of 14 activities of daily living (ADLs) or instrumental activities of daily living (IADLs). Multimorbidity, measured by the number of chronic conditions, included mood and anxiety disorders. Logistic regression explored the association between multimorbidity (with and without mental health conditions) and functional limitation. Factor analysis identified common condition clusters to help understand clinical complexity in those with mood/anxiety disorders and the potential influences on functional limitation.

RESULTS

There were 51,338 participants, with a similar proportion of men and women (49% versus 51%) and 42% age 65 years or older. Fifteen percent (15%) had no chronic conditions and 17% had 5+. Ten percent (10%) reported at least one ADL or IADL limitation. Odds ratios (ORs) for functional limitation increased with multimorbidity and were generally higher for those with versus without mental health conditions (e.g., ORs from 1 to 5+ chronic conditions increased 1.9 to 15.8 for those with mood/anxiety disorders versus 1.8 to 10.2 for those without). Factor analysis showed that mood/anxiety conditions clustered with somatic conditions (e.g., migraines, bowel/gastrointestinal disorders).

CONCLUSION

This study found higher odds of functional limitation for those with multimorbidity that included versus excluded mental health conditions, at all levels of multimorbidity. It highlights the need for concurrent management of mental and physical comorbidities to prevent functional limitations and future decline. This approach is aligned with the NICE clinical assessment and management guidelines for people with multimorbidity.

Depression as a Risk Factor for Physical Illness and Multimorbidity in a Cohort with No Prior Comorbidity

OBJECTIVE

This study examines whether depression is associated with the development of physical illness and multimorbidity, after controlling for socioeconomic, behavioral, and other potential confounders.

METHODS

This is a retrospective cohort study in which adult respondents to three nationally representative population health surveys were linked to health administrative databases in Ontario, Canada, and followed for 10 years from survey index. Respondents with any of the study outcome conditions at baseline were excluded to create a final cohort of 29,838 participants. The main exposure of interest was depression, measured using the Composite International Diagnostic Interview-Short Form for Major Depression. We controlled for age, body mass index, marital status, immigrant status, annual household income, smoking, alcohol consumption, physical activity, health status, and having a regular doctor. The outcome measure was the development of physical illness over 10 years of follow-up, defined as 1 of 15 common chronic conditions using administrative data.

RESULTS

Among the 29,838 participants (15,259 [51%] female), 8% of females and 4% of males had depression at baseline. In this cohort with no comorbidities at baseline, even in the fully adjusted model, depression increased the risk of developing a first physical illness for females (hazard ratio [HR] 1.16; 95% CI, 1.07 to 1.26) and males (HR 1.20; 95% CI, 1.07 to 1.36) and increased the risk of developing a second physical illness for females (HR 1.16; 95% CI, 1.02 to 1.33) over 10 years of follow-up.

CONCLUSIONS

For individuals with no prior comorbidities, depression is associated with a greater risk of developing subsequent physical illness and multimorbidity over time. Thus, depression identifies a population of people who may benefit from early identification, additional screening, and intervention. Further study needs to be done to determine whether interventions to manage and support people with depression can prevent or delay the increased risk of multimorbidity.

Integration of mental health comorbidity in medical specialty programs in 20 countries

METHODS

A systematic analysis was performed of the medical specialization academic programs of 20 different countries to establish which medical specialties take into account mental health issues in the specialty curricular design and which mental health content these programs address. The criteria that were explored in the educational programs include: 1) name of the medical specialties that take into account mental health content in curriculum design, 2) name of the mental health issues addressed by these programs. After independent review and data extraction, paired investigators compared the findings and reached consensus on all discrepancies before the final presentation of the data. Descriptive statistics evaluated the frequency of the data presented.

RESULTS

Internal medicine, family medicine, neurology, pediatrics and geriatrics were the specialties that included mental health topics in their programs. In four countries: Bangladesh, Serbia, the Netherlands and France, 50%of all graduate specialty training programs include mental health content. In ten countries: Germany, Sweden, the United Kingdom, Mexico, Belgium, India, Russia, Canada, Israel and Spain, between 20% and 49% of all graduate specialty training programs include mental health content. In six countries - Brazil, Chile, Colombia, Croatia, Kenya, and the United States-less than 20% of all graduate specialty training programs include mental health content.

DISCUSSION

The proposal that we have made in this article should be taken into account by decision-makers, in order to complement the different postgraduate training programs with mental health issues that are frequently present with other physical symptoms. It is not our intention that the different specialists know how to treat psychiatric comorbidities, but rather pay attention to their existence and implications in the diagnosis, evolution and prognosis of many other diseases. The current fragmentation of medicine into ever finer specialties makes the management of comorbidity ever more difficult: a reorientation of post- graduate training might improve the situation.