The complex interplay between depression and multimorbidity in late life: risks and pathways

Grip strength buffers the harmful association between multimorbidity and depression among middle-aged and older adults

BACKGROUND

Grip strength (GS) is associated to both multimorbidity and depression, however its possible moderating effect is unknown. This study aimed to investigate GS moderating effect on the association between multimorbidity and depression.

METHODS

Data from SHARE wave 8 was used. Participant were 41457 middle-aged and older adults (17954 men) from 18 European countries. A regression analysis was conducted for the moderating effect of sex- and age-specific GS quartiles (W) on the association between number of chronic diseases (X1) or multimorbidity (X2) and depression symptoms (Y).

RESULTS

More chronic diseases were associated with greater depressive symptomatology (men: B = 0.39, 95 % CI: 0.35, 0.42; women: B = 0.42, 95 % CI: 0.39, 0.45). On the other hand, being in a higher GS quartile was associated with fewer depression symptoms, and this association was stronger the higher the quartile was. Having a higher GS represented a decrease in depression symptoms associated with multimorbidity for men (quartile 1: B = 0.85, 95 % CI = 0.74, 0.95 vs. quartile 4: B = 0.49, 95 % CI = 0.38, 0.61) and women (quartile 1: B = 1.08, 95 %CI = 0.97, 1.19 vs. quartile 4: B = 0.59, 95 %CI: 0.47, 0.70).

CONCLUSIONS

Strategies aiming to reduce the impact of multimorbidity on mental health should promote muscle-strengthening physical activity among middle-aged and older adults.

Interrelationships between physical multimorbidity, depressive symptoms and cognitive function among older adults in China, India and Indonesia: A four-way decomposition analysis

OBJECTIVE

This paper explores the role of depressive symptoms (mediator/moderator) in the association between physical multimorbidity (exposure) and cognitive function (outcome) among older adults in the three most populous middle-income countries.

METHODS

This study used cross-sectional data from China (2015 China Health and Retirement Longitudinal Study), India (2017/2018 Longitudinal Ageing Study in India), and Indonesia (2014/2015 Indonesian Family Life Survey), with a total sample of 73,199 respondents aged ≥ 45 years. Three domains of cognitive tests were harmonised across surveys, including time orientation, word recall, and numeracy. The four-way decomposition analysis assessed the mediation and interaction effects between exposure, mediator/moderator, and outcome, adjusted for covariates.

RESULTS

The mean age of the respondents (in years) was slightly younger in Indonesia (56.0, SD = 8.8) than in China (59.5, SD = 9.3) and India (60.0, SD = 10.5). The proportion of male respondents was 49.3 % in China, 47.3 % in India, and 47.5 % in Indonesia. Respondents in China had the highest mean cognitive function z scores (54.7, SD = 19.9), followed by India (51.1, SD = 20.0) and Indonesia (51.0, SD = 18.4). Physical multimorbidity was associated with lower cognitive function in China and India (p < 0.0001), with 48.4 % and 40.0 % of the association explained by the mediating effect of depressive symptoms ('overall proportion due to mediation'). The association was not found in Indonesia.

CONCLUSION

Cognitive functions were lower among individuals with physical multimorbidity, and depressive symptoms mainly explained the association. Addressing depressive symptoms among persons with physical multimorbidity is likely to have not only an impact on their mental health but could prevent cognitive decline.

Inter- and intrapopulation differences in the association between physical multimorbidity and depressive symptoms

BACKGROUND

The association between physical multimorbidity and depression differs by populations. However, no direct inter- or intrapopulation comparison of the association has been conducted. Thus, this study aims to estimate the association in China and the United States and reveal inter- and intrapopulation differences in the association.

METHODS

Middle-aged and older adults from the China Health and Retirement Longitudinal Study and the Health and Retirement Study were included. Physical multimorbidity was defined as the simultaneous presence of two or more chronic physical conditions and depressive symptoms was measured by the Center for Epidemiologic Studies Depression Scale. Generalized estimating equation model and stratification multilevel method were the main statistical models.

RESULTS

The presence of physical multimorbidity was associated with a higher risk of depression in both China (RR = 1.360 [95 % CI: 1.325-1.395]) and the US (RR = 1.613 [95 % CI: 1.529-1.701]). For individuals at a low risk of multimorbidity, multimorbidity was associated with 47.4 % (95 % CI: 1.377-1.579) and 71.1 % (95 % CI: 1.412-2.074) increases in the likelihood of depression in China and the US. The effect size was smaller for individuals at a moderate or high risk. However, the cross-national differences were greater for those with a high risk of multimorbidity.

LIMITATIONS

The self-report measures, attribution bias.

CONCLUSIONS

Compared to Chinese adults, the presence of physical multimorbidity led to an additional increase in depressive symptoms for American counterparts. The association was stronger for individuals at a low risk of multimorbidity, but cross-national differences were observed mostly among individuals at a high risk.

The prevalence of depression, determinants, and linkage with functional disability amongst postmenopausal women in India: Evidence from the Longitudinal Ageing Study in India

BACKGROUND

The study objective was estimating the prevalence and determinants of depression amongst postmenopausal women in India. Additionally, we used panel mediation analysis to model the extent to which multimorbidity was associated with depression after adjusting for the effects of functional disability in the participants.

METHODS

Data from 28,160 women aged 50 and above from the Longitudinal Aging Study in India (LASI) Wave 1 were analyzed. Depression was assessed using the Composite International Diagnostic Interview-Short Form (CIDI-SF), with multimorbidity and functional disability (ADL and IADL) considered as key predictor variables. Logistic regression and Karlson-Holm-Breen (KHB) mediation analysis were employed.

RESULTS

The weighted prevalence of depression among women aged ≥ 50 years was 21.76% (95% CI: 20.81, 22.73), significantly higher women aged < 50 years (17.60%, 95% CI: 16.33, 18.94). Factors independently associated with increased odds of depression included being unmarried, rural residence, and multimorbidity, while higher educational status was associated with lower odds of depression. The relationship between multimorbidity and depression was partially mediated by ADL and IADL disabilities. Notable regional (state) variations in the magnitude of depression were observed.

CONCLUSIONS

Nearly one in five postmenopausal women in India aged 50 years and older have clinical depression. Community screening for reaching the unreached with primary care mental health strengthening need enhanced policy focus.

Mapping 15-year depressive symptom transitions in late life: population-based cohort study

BACKGROUND

The longitudinal course of late-life depression remains under-studied.

AIMS

To describe transitions along the depression continuum in old age and to identify factors associated with specific transition patterns.

METHOD

We analysed 15-year longitudinal data on 2745 dementia-free persons aged 60+ from the population-based Swedish National Study on Aging and Care in Kungsholmen. Depression (minor and major) was diagnosed according to the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision; subsyndromal depression (SSD) was operationalised as the presence of ≥2 symptoms without depression. Multistate survival models were used to map depression transitions, including death, and to examine the association of psychosocial (social network, connection and support), lifestyle (smoking, alcohol consumption and physical activity) and clinical (somatic disease count) factors with transition patterns.

RESULTS

Over the follow-up, 19.1% had ≥1 transitions across depressive states, while 6.5% had ≥2. Each additional somatic disease was associated with a higher hazard of progression from no depression (No Dep) to SSD (hazard ratio 1.09; 1.07-1.10) and depression (Dep) (hazard ratio 1.06; 1.04-1.08), but also with a lower recovery (HRSSD-No Dep 0.95; 0.93-0.97 [where 'HR' refers to 'hazard ratio']; HRDep-No Dep 0.96; 0.93-0.99). Physical activity was associated with an increased hazard of recovery to no depression from SSD (hazard ratio 1.49; 1.28-1.73) and depression (hazard ratio 1.20; 1.00-1.44), while a richer social network was associated with both higher recovery from (HRSSD-No Dep 1.44; 1.26-1.66; HRDep-No Dep 1.51; 1.34-1.71) and lower progression hazards to a worse depressive state (HRNo Dep-SSD 0.81; 0.70-0.94; HRNo Dep-Dep 0.58; 0.46-0.73; HRSSD-Dep 0.66; 0.44-0.98).

CONCLUSIONS

Older people may present with heterogeneous depressive trajectories. Targeting the accumulation of somatic diseases and enhancing social interactions may be appropriate for both depression prevention and burden reduction, while promoting physical activity may primarily benefit recovery from depressive disorders.

Quantifying depressive symptoms on incidence of common chronic diseases and multimorbidity patterns in middle-aged and elderly Chinese adults

BACKGROUND

Depressive symptoms are highly prevalent and increase risks of various morbidities. However, the extent to which depressive symptoms could account for incidence of these chronic conditions, in particular multimorbidity patterns, remains to be examined and quantified.

METHODS

For this cohort analysis, we included 9024-14,093 participants aged 45 years and older from the China Health and Retirement Longitudinal Study (CHARLS). Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for the longitudinal associations between depressive symptoms and 13 common chronic diseases and 4 multimorbidity patterns. Population attributable fractions (PAFs) combining the information on both exposure prevalence and risk association were estimated to quantify the magnitude of the burden of these conditions attributable to depressive symptoms.

RESULTS

Depressive symptoms were associated with increased risks of liver disease, stroke, heart problem, asthma, diabetes, arthritis, kidney disease, chronic lung disease, digestive disease, dyslipidemia, and memory-related disease, and the adjusted HRs (95% CIs) and PAFs (95% CIs) ranged from 1.15 (1.05-1.26) to 1.64 (1.38-1.96) and 5% (0-10%) to 17% (6-28%), respectively. In addition, individuals with depressive symptoms had elevated risks of the cardiometabolic-cancer pattern, the cerebrovascular-memory pattern, the articular-visceral organ pattern, and the respiratory pattern, with respective HRs (95% CIs) of 1.26 (1.11-1.42), 1.34 (1.07-1.69), 1.45 (1.29-1.63), and 2.01 (1.36-2.96), and respective PAFs (95% CIs) of 5% (0-10%), 8% (-4-21%), 12% (7-17%), and 20% (5-35%).

CONCLUSION

Depressive symptoms contribute substantially to the burden across a broad range of chronic diseases as well as different multimorbidity patterns in middle-aged and older Chinese.

The body of evidence of late-life depression: the complex relationship between depressive symptoms, movement, dyspnea and cognition

BACKGROUND

Physical symptoms play an important role in late-life depression and may contribute to residual symptomatology after antidepressant treatment. In this exploratory study, we examined the role of specific bodily dimensions including movement, respiratory functions, fear of falling, cognition, and physical weakness in older people with depression.

METHODS

Clinically stable older patients with major depression within a Psychiatric Consultation-Liaison program for Primary Care underwent comprehensive assessment of depressive symptoms, instrumental movement analysis, dyspnea, weakness, activity limitations, cognitive function, and fear of falling. Network analysis was performed to explore the unique adjusted associations between clinical dimensions.

RESULTS

Sadness was associated with worse turning and walking ability and movement transitions from walking to sitting, as well as with worse general cognitive abilities. Sadness was also connected with dyspnea, while neurovegetative depressive burden was connected with activity limitations.

DISCUSSION

Limitations of motor and cognitive function, dyspnea, and weakness may contribute to the persistence of residual symptoms of late-life depression.

Profiles of met and unmet care needs in the oldest-old primary care patients with depression - results of the AgeMooDe study

BACKGROUND

Unmet care needs have been associated with an increased risk of depression in old age. Currently, the identification of profiles of met and unmet care needs associated with depressive symptoms is pending. Therefore, this exploratory study aimed to identify profiles of care needs and analyze associated factors in oldest-old patients with and without depression.

METHODS

The sample of 1092 GP patients aged 75+ years is based on the multicenter study "Late-life depression in primary care: needs, health care utilization and costs (AgeMooDe)". Depression (i.e. clinically meaningful depressive symptoms) was determined using the Geriatric Depression Scale (GDS) (cutoff score ≥ 4). Needs of patients were assessed using the Camberwell Assessment of Need for the Elderly (CANE). Associated sociodemographic and clinical factors were examined, and latent class analysis identified the need profiles.

RESULTS

The main result of the study indicates three need profiles: 'no needs', 'met physical needs', and 'unmet social needs'. Members of the 'met physical needs' (OR = 3.5, 95 %-CI: 2.5-4.9) and 'unmet social needs' (OR = 17.4, 95 %-CI: 7.7-39.7) profiles were significantly more likely to have depression compared to members of the 'no needs' profile.

LIMITATIONS

Based on the cross-sectional design, no conclusions can be drawn about the causality or direction of the relationships between the variables.

CONCLUSIONS

The study results provide important insights for the establishment of needs-based interventions for GPs. Particular attention should be paid to the presence of unmet social needs in the oldest-old GP patients with underlying depressive symptoms.

Diversity of purposes of use, time spent online, and depression among older Chinese Internet users

Objectives: Previous studies on the associations between Internet use and older people's depression have mostly focused on single types of online activities, especially online social engagement. The current study investigated the diversity of purposes of Internet use and its interaction with the time spent online in shaping older Chinese Internet users' depression.

Method: A sample of 974 Internet users aged 60 and above was adopted from the 2020 China Family Panel Studies wave. We adopted a latent class analysis (LCA) to explore the diverse purposes of internet usage.

Results: The participants were classified into three distinct types: socializers, basic users, and maximizers. Basic users and maximizers use the Internet for various purposes, despite different intensities; socializers use the Internet only to keep connected with families and friends. Compared with basic users and maximizers, a longer time spent online among socializers was significantly associated with a higher level of depression.

Conclusion: This study calls for a closer examination of online profiles among older Internet users; more attention should be paid to the potential harms of excessive Internet use for social reasons only among older adults. Practitioners should enhance older Internet users' digital literacy to maximize the wide-range benefits of Internet use and reduce potential health inequality.

Above and Beyond Number of Illnesses: A Two-Sample Replication of Current Approaches to Depressive Symptoms in Multimorbidity

OBJECTIVES

To expand current models of depressive symptoms in older adults with multimorbidity (MM) beyond the number of illnesses as a predictor of worsened mental health.

METHODS

Two-sample replication study of adults ≥62 years old with ≥ two chronic illnesses, who completed validated questionnaires assessing depressive symptoms, and disease- and treatment-related stressors. Data were analyzed using hierarchical linear regression.

RESULTS

The model of cumulative number of illnesses was worse at explaining variance in depressive symptoms (Sample 1 R2 = .035; Sample 2 R2 = .029), compared to models including disease- and treatment-related stressors (Sample 1 R2 = .37; Sample 2 R2 = .47). Disease-related stressors were the strongest factor associated with depressive symptoms, specifically, poor subjective cognitive function (Sample 1: b = -.202, p = .013; Sample 2: b = -.288, p < .001) and greater somatic symptoms (b = .455, p < .001; Sample 2: b = .355, p < .001).

CONCLUSIONS

Using the number of illnesses to understand depressive symptoms in MM is a limited approach. Models that move beyond descriptive relationships between MM and depressive symptoms are needed.

CLINICAL IMPLICATIONS

Providers should consider the role of somatic symptom management in patients with MM and depressive symptoms.

Gender-specific association of the accumulation of chronic conditions and disability in activities of daily living with depressive symptoms

BACKGROUND

In the era of rapid aging with a rising prevalence of multimorbidity, complex interactions between physical and psychological conditions have challenged the health care system. However, little is known about the association of the accumulation of chronic conditions and disability in activities of daily living with depressive symptoms, especially in developed countries.

METHODS

This population-based cohort study used data from the Health and Retirement Study. A total of 22,335 middle-aged and older adults participated in the 2014 (T1), 2016 (T2), and 2018 (T3) waves of the cohort were included. The accumulation of chronic conditions and disability were defined as the number of chronic diseases and the five activities of daily living. Depressive symptoms were measured by the Center for Epidemiologic Studies Depression Scale. A longitudinal mediation model with a cross-lagged panel model was run. As robust check, the models were applied with a longer follow-up period (from 2012 to 2018). Additionally, results were estimated in China.

RESULTS

Bidirectional associations have been found among the accumulation of chronic conditions, disability, and depressive symptoms, especially between disability and depression. Disability (T2) mediated 11.11 % and 16.87 % of the association between the accumulation of chronic conditions (T1) and depression (T3) for men and women in the United States. The results were consistent in robust analysis.

CONCLUSIONS

This study found that men and women routinely experienced disability and depressive symptoms because of the accumulation of chronic conditions. In terms of depressive symptoms, women were more sensitive to the accumulation of chronic conditions through disability.

Living with Multimorbidity through Time: A Meta-Synthesis of Qualitative Longitudinal Evidence

The growing prevalence of multimorbidity places a strain on primary healthcare globally. The current study's aim was to identify, appraise, and synthesize published qualitative longitudinal research on individuals' experiences concerning living with multimorbidity through time. The authors searched two electronic databases, MEDLINE and CINAHL, and performed an additional literature search in Google Scholar. A thematic synthesis approach was used to analyze the qualitative data across the studies. A total of 10 reports that met the inclusion and exclusion criteria were included in the synthesis. Five descriptive themes emerged from the analysis of the living experiences of individuals with multimorbidity: (1) perceiving multimorbidity, (2) managing chronic conditions, (3) emotional struggles in everyday life with multimorbidity, (4) interactions with the healthcare system and healthcare professionals, and (5) family support. This meta-synthesis provides insights into the diverse perceptions of multimorbidity and how individuals cope with their chronic conditions in their daily lives. The findings highlight the importance of establishing effective patient-centered care that acknowledges and supports the multifaceted needs of this population. It is also recommended to involve a psychological component in the care of individuals with multimorbidity, as part of a collaborative and interprofessional approach.

Somatic disease burden and depression risk in late life: a community-based study

AIMS

Co-occurring somatic diseases exhibit complex clinical profiles, which can differentially impact the development of late-life depression. Within a community-based cohort, we aimed to explore the association between somatic disease burden, both in terms of the number of diseases and their patterns, and the incidence of depression in older people.

METHODS

We analysed longitudinal data of depression- and dementia-free individuals aged 60+ years from the population-based Swedish National Study on Aging and Care in Kungsholmen. Depression diagnoses were clinically ascertained following the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition Text Revision over a 15-year follow-up. Somatic disease burden was assessed at baseline through a comprehensive list of chronic diseases obtained by combining information from clinical examinations, medication reviews and national registers and operationalized as (i) disease count and (ii) patterns of co-occurring diseases from latent class analysis. The association of somatic disease burden with depression incidence was investigated using Cox models, accounting for sociodemographic, lifestyle and clinical factors.

RESULTS

The analytical sample comprised 2904 people (mean age, 73.2 [standard deviation (SD), 10.5]; female, 63.1%). Over the follow-up (mean length, 9.6 years [SD, 4 years]), 225 depression cases were detected. Each additional disease was associated with the occurrence of any depression in a dose-response manner (hazard ratio [HR], 1.16; 95% confidence interval [CI]: 1.08, 1.24). As for disease patterns, individuals presenting with sensory/anaemia (HR, 1.91; 95% CI: 1.03, 3.53), thyroid/musculoskeletal (HR, 1.90; 95% CI: 1.06, 3.39) and cardiometabolic (HR, 2.77; 95% CI: 1.40, 5.46) patterns exhibited with higher depression hazards, compared to those without 2+ diseases (multimorbidity). In the subsample of multimorbid individuals (85%), only the cardiometabolic pattern remained associated with a higher depression hazard compared to the unspecific pattern (HR, 1.71; 95% CI: 1.02, 2.84).

CONCLUSIONS

Both number and patterns of co-occurring somatic diseases are associated with an increased risk of late-life depression. Mental health should be closely monitored among older adults with high somatic burden, especially if affected by cardiometabolic multimorbidity.

Patterns of multimorbidity in primary care electronic health records: A systematic review

Background

Multimorbidity, the coexistence of multiple chronic conditions in an individual, is a complex phenomenon that is highly prevalent in primary care settings, particularly in older individuals. This systematic review summarises the current evidence on multimorbidity patterns identified in primary care electronic health record (EHR) data.

Methods

Three databases were searched from inception to April 2022 to identify studies that derived original multimorbidity patterns from primary care EHR data. The quality of the included studies was assessed using a modified version of the Newcastle-Ottawa Quality Assessment Scale.

Results

Sixteen studies were included in this systematic review, none of which was of low quality. Most studies were conducted in Spain, and only one study was conducted outside of Europe. The prevalence of multimorbidity (i.e. two or more conditions) ranged from 14.0% to 93.9%. The most common stratification variable in disease clustering models was sex, followed by age and calendar year. Despite significant heterogeneity in clustering methods and disease classification tools, consistent patterns of multimorbidity emerged. Mental health and cardiovascular patterns were identified in all studies, often in combination with diseases of other organ systems (e.g. neurological, endocrine).

Discussion

These findings emphasise the frequent coexistence of physical and mental health conditions in primary care, and provide useful information for the development of targeted preventive and management strategies. Future research should explore mechanisms underlying multimorbidity patterns, prioritise methodological harmonisation to facilitate the comparability of findings, and promote the use of EHR data globally to enhance our understanding of multimorbidity in more diverse populations.

Multimorbidity representation in randomized controlled trials of selective serotonin reuptake inhibitors: A systematic analysis of published trials

BACKGROUND

Previous research has suggested a bidirectional relationship between multimorbidity and depression, with an increasing number of people living with both conditions. Therefore, we investigated how multimorbidity is represented in randomized controlled trials (RCT) of selective serotonin reuptake inhibitors (SSRI).

METHODS

We conducted a comprehensive keyword search in PubMed, Cochrane Central Library, PsycINFO, and EMBASE for RCTs published in 2011 or later. Multimorbidity representation was categorized into 'inclusion' or 'exclusion' within the study with studies including multimorbidity further categorized as conducting 'multivariable adjustment' or 'effect modification/stratification'. Logistic regression was used to examine the association of different study characteristics with multimorbidity representation among the studies.

RESULTS

In total, 183 trials were included for analysis. Nearly 60 %, i.e., 106 trials, excluded people with multimorbidity, and only four studies either conducted multivariable adjustment for baseline health conditions or examined potential effect modifications from multimorbidity. Studies based in Asia had significantly increased odds of multimorbidity exclusion compared to North America (odds ratio 3.18, 95 % confidence interval 1.09-1.39). A larger sample size was estimated to be associated with greater odds of conducting effect modification analysis for multimorbidity (odds ratio 1.006, 95 % confidence interval 1.001-1.011).

LIMITATIONS

Studies are limited to published, English-language studies where the short timespan may hinder the visibility of the multimorbidity trend.

CONCLUSIONS

Only a minority of RCTs on SSRIs considered multimorbidity within their study design. As both mental health awareness and multimorbidity are becoming increasingly ubiquitous within the global population, it is important for future studies to consider multimorbidity.

Ethnic differences in physical and mental multimorbidity in working age adults with a history of depression and/or anxiety

BACKGROUND

The current study used data from an ethnically diverse population from South London to examine ethnic differences in physical and mental multimorbidity among working age (18-64 years) adults in the context of depression and anxiety.

METHOD

The study included 44 506 patients who had previously attended Improving Access to Psychological Therapies services in the London Borough of Lambeth. Multinomial logistic regression examined cross-sectional associations between ethnicity with physical and mental multimorbidity. Patterns of multimorbidity were identified using hierarchical cluster analysis.

RESULTS

Within 44 056 working age adults with a history of depression or anxiety from South London there were notable ethnic differences in physical multimorbidity. Adults of Black Caribbean ethnicity were more likely to have physical multimorbidity [adjusted relative risk ratio (aRRR) = 1.25, 95% confidence interval (CI) 1.15-1.36] compared to adults of White ethnicity. Relative to adults of White ethnicity, adults of Asian ethnicity were more likely to have physical multimorbidity at higher thresholds only (e.g. 4 + conditions; aRRR = 1.53, 95% CI 1.17-2.00). Three physical (atopic, cardiometabolic, mixed) and three mental (alcohol/substance use, common/severe mental illnesses, personality disorder) multimorbidity clusters emerged. Ethnic minority groups with multimorbidity had a higher probability of belonging to the cardiometabolic cluster.

CONCLUSION

In an ethnically diverse population with a history of common mental health disorders, we found substantial between- and within-ethnicity variation in rates of physical, but not mental, multimorbidity. The findings emphasised the value of more granular definitions of ethnicity when examining the burden of physical and mental multimorbidity.

The efficacy and safety of buprenorphine for the treatment of depression: A systematic review and meta-analysis

BACKGROUND

Depressive disorders are common. Many patients with major depression do not achieve remission with available treatments. Buprenorphine has been raised as a potential treatment for depression as well as suicidal behavior but may pose certain risks.

METHODS

A meta-analysis comparing the efficacy, tolerability, and safety of buprenorphine (or combinations such as buprenorphine/samidorphan) versus control in improving symptoms in patients with depression. Medline, Cochrane Database, PsycINFO, Excerpta Medica Database and The Cumulative Index to Nursing and Allied Health Literature were searched from inception through January 2, 2022. Depressive symptoms were pooled using Hedge's g with 95% Confidence Intervals (CI). Tolerability, safety, suicide outcomes were summarized qualitatively.

RESULTS

11 studies (N = 1699) met inclusion criteria. Buprenorphine had a small effect on depressive symptoms (Hedges' g 0.17, 95%CI: 0.05-0.29). Results were driven by six trials of buprenorphine/samidorphan (N = 1,343, Hedges's g 0.17, 95%CI: 0.04-0.29). One study reported significant improvement in suicidal thoughts (Least Squares Mean Change: -7.1, 95%CI: -12.0 - 2.3). Most studies found buprenorphine was well-tolerated with no evidence of abuse behavior or dependency.

CONCLUSIONS

Buprenorphine may have a small benefit for depressive symptoms. Future research should clarify the dose response relationship between buprenorphine and depression.

The Mediating Role of Depression in Association Between Total Sleep Time and Instrumental Activities of Daily Living in China

Objectives: This study aims to investigate the mediating role of depression and the moderating effect of gender in the relationship between total sleep time (TST) and instrumental activities of daily living (IADL) in middle-aged and elderly people (aged 45 or above).

Methods: The data used in this study is from the China Health and Retirement Longitudinal Study (CHARLS), including a total of 10,460 respondents. Associations between TST, IADL, depression, and gender were analyzed using logistic regression and Karlson, Holm, and Breen (KHB) methods.

Results: Short (OR = 1.42, 95% CI = 1.28–1.58 of ≤6 h) and long TST (OR = 1.16, 95% CI = 1.02–1.32 of 8–9 h; OR = 1.35, 95% CI = 1.19–1.54 of &gt;9 h) were both associated with IADL. The mediation effect analyses observed that depression explained 64.80% of the total effect of short TST (≤6 h) and IADL, but was insignificant in long TST (8–9 h and &gt;9 h). Meanwhile, gender has moderating effects on the mediation effect model.

Conclusion: The study suggests that health interventions that focused on the dimensions of TST and depression are crucial for preventing functional disability while accounting for gender differences.

Prevalence of depression among elderly women in India-An intersectional analysis of the Longitudinal Ageing Study in India (LASI), 2017-2018

Epidemiological transition in India shows a shift in disease burden from youth to the elderly. As Life Expectancy increases, a greater burden is placed on the state, society, and families in India. Mental health disorders are insidious, debilitating Non-Communicable Diseases (NCDs) that afflict people, their families, and generations down the line. Globally, depression is the leading cause of mental health-related disability. It is estimated that mental illness contributes to 4.7% of Disability Adjusted Life Years (DALYs) in India. It is predicted that by 2026, the elderly's sex ratio will increase to 1,060 feminizing ageing. Research has shown that elderly women in developed countries like the United States are more prone to depression. Chronic morbidities are more common in women than in men, and they may suffer from poor vision, depression, impaired physical performance, and elder abuse. Mostly widowed, economically dependent, lacking proper food and clothing, fearing the future, and lacking proper care, they have difficulty coping with these health problems. There are surprisingly few studies on elderly female depression. Therefore, we want to hypothesize the prevalence of depression among women in different regions and demographic groups in India, and what factors may contribute to these differences. Using intersectional analysis with the data from Wave 1 (2017-2018) of the (Longitudinal Ageing Study in India) LASI (N = 16,737) we were able to explore the intersecting patterns between different variables and how people are positioned simultaneously and position themselves in different multiple categories based on the type of place of residence, age and level of education. Through the study we further aim to determine the prevalence of depression among elderly female in the age group of 60 in different states using the Chloropleth map. The findings of the study highlight the significance of the place of residence in the development of depression among elderly women, with the rural area being associated with a higher prevalence of depression compared to urban area. When compared to people with higher literacy, those with low literacy were significantly associated with depression. State-wise, there is a huge difference between the prevalence of elderly women depression in rural and urban areas. The study highlights the vulnerability of elderly women to depression. It is possible for the government to develop programs that address the needs of elderly women, both in urban and rural areas, to reduce depression. Multi-factor approaches to mental health, which consider age, literacy, and location, are essential. Programs targeting specific populations can be developed to address depression's root causes..

Late-life depression and multimorbidity trajectories: the role of symptom complexity and severity

INTRODUCTION

as late-life depression is associated with poor somatic health, we aimed to investigate the role of depression severity and symptom phenotypes in the progression of somatic multimorbidity.

METHODS

we analysed data from 3,042 dementia-free individuals (60+) participating in the population-based Swedish National Study on Aging and Care in Kungsholmen. Using the baseline clinical assessment of 21 depressive symptoms from the Comprehensive Psychopathological Rating Scale, we: (i) diagnosed major, minor (in accordance with DSM-IV-TR) and subsyndromal depression; (ii) extracted symptom phenotypes by applying exploratory network graph analysis. Somatic multimorbidity was measured as the number of co-occurring chronic diseases over a 15-year follow-up. Linear mixed models were used to explore somatic multimorbidity trajectories in relation to baseline depression diagnoses and symptom phenotypes, while accounting for sociodemographic and behavioural factors.

RESULTS

in multi-adjusted models, relative to individuals without depression, those with major (β per year: 0.33, 95% confidence interval [CI]: 0.06-0.61) and subsyndromal depression (β per year: 0.21, 95%CI: 0.12-0.30) experienced an accelerated rate of somatic multimorbidity accumulation, whereas those with minor depression did not. We identified affective, anxiety, cognitive, and psychomotor symptom phenotypes from the network analysis. When modelled separately, an increase in symptom score for each phenotype was associated with faster multimorbidity accumulation, although only the cognitive phenotype retained its association in a mutually adjusted model (β per year: 0.07, 95%CI: 0.03-0.10).

CONCLUSIONS

late-life major and subsyndromal depression are associated with accelerated somatic multimorbidity. Depressive symptoms characterised by a cognitive phenotype are linked to somatic health change in old age.

Exploring human biology with N-of-1 clinical trials

Studies on humans that exploit contemporary data-intensive, high-throughput 'omic' assay technologies, such as genomics, transcriptomics, proteomics and metabolomics, have unequivocally revealed that humans differ greatly at the molecular level. These differences, which are compounded by each individual's distinct behavioral and environmental exposures, impact individual responses to health interventions such as diet and drugs. Questions about the best way to tailor health interventions to individuals based on their nuanced genomic, physiologic, behavioral, etc. profiles have motivated the current emphasis on 'precision' medicine. This review's purpose is to describe how the design and execution of N-of-1 (or personalized) multivariate clinical trials can advance the field. Such trials focus on individual responses to health interventions from a whole-person perspective, leverage emerging health monitoring technologies, and can be used to address the most relevant questions in the precision medicine era. This includes how to validate biomarkers that may indicate appropriate activity of an intervention as well as how to identify likely beneficial interventions for an individual. We also argue that multivariate N-of-1 and aggregated N-of-1 trials are ideal vehicles for advancing biomedical and translational science in the precision medicine era since the insights gained from them can not only shed light on how to treat or prevent diseases generally, but also provide insight into how to provide real-time care to the very individuals who are seeking attention for their health concerns in the first place.

Bidirectional Association Between Probable Depression and Multimorbidity Among Middle-Aged and Older Adults in Thailand

Introduction

The purpose of this study was to assess the bidirectional association between multimorbidity (MM) and probable depression in a longitudinal study in Thailand.

Methods

We analyzed longitudinal data of participants 45 years and older from two consecutive waves (in 2015 and 2017) of Health, Aging, and Retirement in Thailand (HART). Probable depression was assessed using the Center for Epidemiological Studies Depression scale. Logistic regression analysis was conducted to assess the association between baseline probable depression and incident physical MM, and baseline physical MM and incident probable depression.

Results

In all, 2712 participants without MM at baseline and 2684 without probable depression at baseline were included. At follow-up 15.6% of probable depression cases and 11.4% of nonprobable depression cases developed physical MM, and at follow-up 13.3% of physical MM cases and 8.9% of nonphysical MM cases developed probable depression. In the final logistic regression analysis, adjusted for age, sex, marital status, income, education, body mass index, physical activity, smoking tobacco, alcohol use, and social engagement, probable depression at baseline was positively associated with incident physical MM (aOR: 1.50, 95% CI: 1.09 to 2.06), and physical MM at baseline was positively associated with incident probable depression (aOR: 1.47, 95% CI: 1.07 to 2.02).

Discussion

Baseline physical MM increases the risk of incident probable depression and baseline probable depression increases the risk of incident physical MM among middle-aged and older adults in Thailand.

Patterns of multimorbidity among a community-based cohort in rural India

Background

Multimorbidity estimates are expected to increase in India primarily due to the population aging. However, there is a lack of research estimating the burden of multimorbidity in the Indian context using a validated tool. We estimated the prevalence and determinants of multimorbidity amongst the adult population of the rural Uddanam region, Andhra Pradesh.

Methods

This community-based cross-sectional study was conducted as a part of an ongoing research program. Multistage cluster sampling technique was used to select 2419 adult participants from 40 clusters. Multimorbidity was assessed using Multimorbidity Assessment Questionnaire for Primary Care (MAQ-PC) tool, collecting information on 13 chronic diseases. Patient Health Questionnaire (PHQ-12) was used to screen for depression. Multiple logistic regression was conducted to identify the strongest determinants of multimorbidity.

Results

Of the 2419 participants, 2289 completed the MAQ-PC tool. Mean age (standard deviation) of participants was 48.1 (13.1) years. The overall prevalence of multimorbidity was 58.5% (95% CI 56.5-60.6); with 30.7%, 15.6%, and 12.2% reporting two, three, and four chronic conditions, respectively. Acid peptic disease-musculoskeletal disease (44%) and acid peptic disease-musculoskeletal disease-hypertension (14.9%) were the most common dyad and triad. Among metabolic diseases, diabetes-hypertension (28.3%) and diabetes-hypertension-chronic kidney disease (7.6%) were the most common dyad and triad, respectively. Advancing age, female gender, and being obese were the strongest determinates of the presence of multimorbidity. Depression was highly prevalent among the study population, and participants with higher PHQ-12 score had 3.7 (2.5-5.4) greater odds of having multimorbidity.

Conclusions

Our findings suggest that six of 10 adults in rural India are affected with multimorbidity. We report a higher prevalence of multimorbidity as compared with other studies conducted in India. We also identified vulnerable groups which would guide policy makers in developing holistic care packages for individuals with multimorbidity.

Association Between Multiple Chronic Conditions and Depressive Symptoms Among Older Adults in China: Evidence From the China Health and Retirement Longitudinal Study (CHARLS)

Objectives: The purpose of this study was to explore the association between multiple chronic conditions (MCCs) and depressive symptoms among older adults in China. Methods: We used the fourth round of data from the China Health and Retirement Longitudinal Study, and included 9789 older adults aged 60 years old and above. Results: Compared with the older adults without chronic disease, older adults with MCCs and those with one chronic disease had a high risk of depression (MCCs: OR_-adjusted: 1.55, 95% CI: 1.37 to 1.75; one chronic disease: OR_-adjusted: 1.20, 95% CI: 1.05-1.37). In urban areas, the prevalence among older adults with MCCs was 2.01 times higher than that among older adults without chronic disease (OR_-adjusted: 2.01, 95% CI: 1.56-2.60), while it was 1.44 times higher in rural areas (OR_-adjusted:1.44, 95% CI: 1.25-1.65). Self-reported health, duration of sleep, social activities, and type of medical insurance were the influencing factors of depressive symptoms in older adults. Conclusion: This study contributed to enriching the research on the relationship between MCCs and depressive symptoms in older adults in China.

A pilot, randomized, feasibility study to improve health self-management behaviors in older adults with multiple chronic conditions and functional limitations: Protocol for the Behavioral Activation and Occupational Therapy Trial (BA+OT)

Background

Approximately 45% of older adults in the U.S. have 2 or more chronic health conditions (e.g., arthritis, hypertension, diabetes) in addition to functional limitations that prevent performance of health self-management activities. Self-management continues to be the gold standard for managing MCC, but functional limitations create difficulty with these activities (e.g., physical activity, symptom monitoring). Restricted self-management accelerates the downward spiral of disability and accumulating chronic conditions which, in turn, increases rates of institutionalization and death by 5-fold. Currently, there are no tested interventions designed to improve independence in health self-management activities in older adults with MCC and functional limitations. Research suggests that older adults are more likely to change behavior with interventions that assist with planning health-promoting daily activities, especially when contending with complex medical regimens and functional limitations. Our team asserts that combining occupational therapy (OT) and behavioral activation (BA) shows promise to improve health self-management in populations with chronic conditions and/or functional limitations. This innovative combination uses the goal setting, scheduling/monitoring activities, and problem-solving components of the BA approach as well as the environmental modification, activity adaptation, and focus on daily routines from OT practice.

Objectives

We will test the effect of this combined approach in a Stage I, randomized controlled pilot feasibility study compared to enhanced usual care. We will recruit 40 older adults with MCC and functional limitation and randomize 20 to the PI- delivered BA-OT protocol. This research will inform modification and larger-scale testing of this novel intervention.

Indigenous population and major depressive disorder in later life: a study based on the data from Longitudinal Ageing Study in India

BACKGROUND

Existing evidence suggests that the indigenous older population who live with their families and friends might experience lesser depressive symptoms due to better emotional support and well-being. The present study aimed to investigate the differentials in the prevalence of the major depressive disorder among tribal and non-tribal older populations in India and to explore the contribution of socio-demographic, health-related, and household factors in such disparities.

METHODS

A cross-sectional study was conducted using data from the Longitudinal Aging Study in India (2017-18). The analytical sample included 30,637 older adults, among whom 5,025 and 25,612 belonged to the Scheduled Tribe (ST) and non-Scheduled Tribe (non-ST) social groups, respectively. Major depressive disorder assessed by the Composite International Diagnostic Interview short-form (CIDI-SF) scale was the outcome variable. Descriptive statistics, bivariate and multivariable regression and, decomposition analyses were conducted.

RESULTS

About 4.8% and 8.9% of older adults from the ST and non-ST social groups had major depression. For both tribal and non-tribal groups, older adults who were unmarried, dissatisfied with living arrangements, and those who faced lifetime discrimination were at increased risk of major depression. Findings from differences due to characteristics (E) revealed that if the regional differences were minimized, it would decrease the ST-non-ST gap in major depression by about 19.6%. Similarly, equal self-rated health status and chronic conditions among ST and non-ST groups would decrease the gap in major depression by almost 9.6% and 7.9%, respectively. Additionally, an equal status of Instrumental Activities of Daily Living (IADL) and Activities of Daily Living (ADL) among older adults would decrease the gap in major depression by about 3.8% and 3% respectively. Also, findings from differences due to coefficients (C) revealed that if older adults from the ST group had the same status of ADL as of older adults from the non-ST group, it would decrease the gap in major depression by about 11.8%.

CONCLUSION

The findings revealed a greater prevalence of major depression in older adults belonging to the non-ST group than the ST group. For both tribal and non-tribal groups, older adults who were unmarried, dissatisfied with living arrangements, and those who faced lifetime discrimination were at increased risk of major depression and these factors along with health-related variables contributed to significant ST-non-ST gap in depression, advantageous to tribal population; suggesting further research on the coping mechanisms of mental illnesses among indigenous population in India.

Multimorbidity, depression with anxiety symptoms, and decrements in health in 47 low- and middle-income countries

BACKGROUND

Comorbid depression and anxiety is associated with worse health outcomes compared to depression or anxiety occurring in isolation, but there is little data on its association with multimorbidity. Thus, we investigated this association across 47 low- and middle-income countries, and further explored whether having anxiety symptoms in addition to depression is associated with significant declines in health outcomes among those with multimorbidity.

METHODS

Cross-sectional, predominantly nationally representative, community-based data were analyzed from the World Health Survey. DSM-IV depression was assessed with the Composite International Diagnostic Interview. Anxiety symptoms referred to severe/extreme problems with worry or anxiety. Ten chronic conditions and health status across five domains (cognition, interpersonal activities, sleep/energy, self-care, pain/discomfort) were assessed. Multivariable regression analyses conducted.

RESULTS

Data included 237,952 adults aged ≥18 years [mean age (SD) 38.4 (16.0); 50.8 % females]. Compared to no chronic conditions, 2 (OR = 6.86; 95%CI = 5.59-8.42), 3 (OR = 12.33; 95%CI = 9.72-15.63), and ≥4 (OR = 26.55; 95%CI = 20.21-35.17) chronic conditions were associated with significantly higher odds for comorbid depression/anxiety symptoms (vs. no depression or anxiety symptoms) in the multinomial logistic regression model. Among those with depression and multimorbidity, anxiety symptoms were associated with significantly worse health status across all domains.

LIMITATIONS

Cross-sectional design, depression and anxiety symptoms were not based on a clinical assessment.

CONCLUSIONS

Comorbid depression/anxiety is common in people with multimorbidity, and anxiety symptoms in people with depression and multimorbidity signify worse health status. Future studies should assess the utility of screening for and treating comorbid depression/anxiety in patients with multimorbidity in terms of clinical outcomes.

Depression is Associated with the Increase Risk of Multimorbidity Among the General Population in Indonesia

Purpose

Depression is common among patients with chronic disease. However, little is known about the association between depression and the risk of developing multimorbidity. This study aims to identify the association between depression and the incidence of multimorbidity among the general population in Indonesia.

Patients and Methods

The national cross-sectional population-based survey used publicly available data from the Indonesian Family Life Survey (IFLS-5) for 2014 among respondents aged ≥15 years. Depression was assessed using the Center for Epidemiologic Studies-Depression (CES-D) scale. The number of chronic diseases and amount of sociodemographic information were obtained from self-reported data. A logistic regression analysis was used to assess the association between depression and multimorbidity, adjusting for confounders. Odds ratios (ORs) with 95% confidence intervals (CIs) were reported.

Results

The study recruited 2222 respondents; the majority of them were male (68.0%) and aged 55–64 years (34.7%). Of the total number of respondents, 69.6% have depression and 36.5% have multimorbidity. The prevalence of depression in respondents increases with age. Depressive symptoms were more likely to report multimorbidity (OR 2.05, 95% CI: 1.66–2.52).

Conclusion

Depression is associated with the increased risk of multimorbidity among the general population in Indonesia. Therefore, screening for and treatment of depression for those at risk of developing multimorbidity are urgently needed.

Incidence and predictors of multimorbidity among older adults in Korea: a 10-year cohort study

BACKGROUND

Due to the rapid growth of the older adult population, multimorbidity has become a global concern for an aging society. Multimorbidity has been associated with poor health outcomes, including low quality of life and a high risk of mortality, resulting in an overload of healthcare systems. However, multimorbidity incidence and its related factors are poorly understood among older adults. This study aimed to determine whether sociodemographic characteristics, lifestyle, and psychosocial factors predict multimorbidity incidence among older adults in Korea.

METHODS

This longitudinal study used the Korean Longitudinal Study of Aging (KLoSA) dataset from 2008 to 2018. The KLoSA is a panel survey of nationally representative samples aimed at providing data for developing socioeconomic policies for the increasing aging population in Korea. The study sample included 1967 older adults aged 65 years and over who had none or one of the chronic diseases at the baseline in 2008. Multimorbidity incidence was defined as the co-existence of two or more chronic diseases among 12 doctor-diagnosed diseases based on self-reports. Cox's proportional hazards models were used to identify significant predictors of multimorbidity incidence over a 10-year follow-up period.

RESULTS

Among 1967 respondents (female 54.5%, mean age 72.94), 625 (31.8%) incidents of multimorbidity were reported, contributing to 47.5 incidents per 1000 people after 10 years of follow-up. Low levels of social interaction, obesity, past smoking habits, and current or past drinking habits were identified as significant predictors of multimorbidity incidence among older adults in Korea.

CONCLUSIONS

This study identified older adults at high risk for multimorbidity incidence. These groups require more attention from health care providers in the course of chronic disease monitoring and management. Specific interventions and health policies to promote social interaction and a healthy lifestyle are essential to delay multimorbidity incidence. This longitudinal approach will contribute to developing preventive strategies to reduce the incidence of multimorbidity among older adults.

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.

Depressive and anxiety symptoms in patients with COPD: A network analysis

BACKGROUND

Individuals with Chronic Obstructive Pulmonary Disease (COPD) often develop anxiety and depression, which worsen illness management and prognosis. Physical and psychological symptoms, contextual and illness-related factors display complex reciprocal interactions, which give rise to heterogeneous presentations. Examining the patterns of association between specific physical and psychological symptoms in patients with COPD may help to focus on the precision of the patient-centred care.

RESEARCH QUESTION

We used network analyses to examine the links between symptoms of COPD, depression and anxiety.

METHODS

Data from 1587 individuals with COPD from the COPDGene study were included. We estimated a Bayesian Gaussian Graphical Model to highlight the unique associations between symptoms of COPD (assessed with the COPD Assessment Test), depression and anxiety (assessed with the Hospital Anxiety and Depression Scale (HADS), while examining the role of sociodemographic characteristics, lung function tests, and health status.

RESULTS

Unique Variable Analysis reduced 14 HADS items to Tension/worry (chronic anxiety), Fear/panic (acute anxiety), Restlessness, Anhedonia, Sadness and Slowing. In network analyses, chest-tightness was related to acute anxiety, while cough and weakness were connected with core depressive symptoms (sadness and lack of pleasure). Chronic anxiety was linked with acute anxiety and depressive symptoms. Findings were confirmed accounting for the role of confounders, including lung function, sex, ethnicity and lifestyle factors. A simulation based on our model yielded distinct predictions about anxiety and depression in two participants with similar COPD severity, but different symptom profiles.

CONCLUSION

Network analyses highlighted specific associations between symptoms of COPD, depression and anxiety. Accounting for symptom-level interactions may help to promote personalized treatment approaches.

Association of Depression and Anxiety With the Accumulation of Chronic Conditions

IMPORTANCE

Longitudinal associations between comorbid depression and anxiety with the accumulation of chronic illnesses are unclear, and questions remain about the contributions associated with each condition in the increasing prevalence of multimorbidity.

OBJECTIVE

To compare the risk and rate of accumulating chronic conditions in people with depression, anxiety, and comorbid depression and anxiety vs individuals with neither depression nor anxiety.

DESIGN, SETTING, AND PARTICIPANTS

This cohort study used the Rochester Epidemiology Project medical records-linkage system to identify residents of Olmsted County, Minnesota, from January 1, 2005, to December 31, 2014, with follow-up ending December 31, 2017. The sample was divided into cohorts anchored at birthday ages of 20, 40, and 60 years. Individuals were classified at anchoring birthday age as having depression alone, anxiety alone, comorbid depression and anxiety, or neither depression nor anxiety (reference group), using electronically extracted diagnosis codes from the International Classification of Diseases, Ninth Revision (ICD-9) in the 5 years before each anchoring birthday. Data were analyzed from August 2020 through November 2021.

EXPOSURES

Depression alone, anxiety alone, comorbid depression and anxiety, or neither depression nor anxiety (reference group).

MAIN OUTCOMES AND MEASURES

The main outcome was sex-specific risk, calculated as hazard ratios (HRs) and rates of accumulation, calculated as mean annual incidence rates per 100 person-years, of 15 common chronic conditions within each birthday age cohort through the end of study.

RESULTS

Among the 40 360 individuals included across all 3 age cohorts, 21 516 (53.3%) were women. After balancing cohorts on race, Hispanic ethnicity, education level, body mass index, smoking status, and calendar year at index birthday, the risk of accumulating chronic conditions was significantly increased among women with depression alone (cohort aged 20 years: HR, 1.20 [95% CI, 1.02-1.42]; cohort aged 40 years: HR, 1.20 [95% CI, 1.10-1.31]; cohort aged 60 years: HR, 1.09 [95% CI, 1.02-1.16]) and women with comorbid depression and anxiety (cohort aged 20 years: HR, 1.60 [95% CI, 1.28-1.99]; cohort aged 40 years: HR, 1.41 [95% CI, 1.21-1.65]; cohort aged 60 years: HR, 1.29 [95% CI, 1.15-1.44]) compared with referent women in the same birthday cohorts and in men with comorbid depression and anxiety compared with referent men in the cohort aged 20 years (HR, 1.77 [95% CI, 1.08-2.91]). For women, the rates of accumulation of conditions were significantly higher across birthday cohorts in the comorbid depression and anxiety group compared with the depression alone group (eg, cohort aged 20 years: difference, 1.2 [95% CI, 0.2-2.1] per 100 person-years) and reference group (eg, cohort aged 20 years: difference, 1.7 [95% CI, 0.9-2.6] per 100 person-years). For men, compared with the reference group, the rates of accumulation of conditions were significantly higher in men with comorbid depression and anxiety in the cohort aged 20 years (difference, 1.4 [95% CI, 0.1-2.6] per 100 person-years) and in men with depression in the cohort aged 40 years (difference, 2.0 [95% CI, 0.8-3.2] per 100 person-years).

CONCLUSIONS AND RELEVANCE

In this cohort study, the risk of accumulating chronic conditions was increased with depression and comorbid depression and anxiety in women across the age span and in younger men with comorbid depression and anxiety. Compared with women without depression or anxiety, there was a more rapid rate of accumulation of chronic conditions in women with depression and anxiety individually and an even higher rate when depression and anxiety cooccurred.

Depression and unplanned secondary healthcare use in patients with multimorbidity: A systematic review

Background

Growing numbers of people with multimorbidity have a co-occurring mental health condition such as depression. Co-occurring depression is associated with poor patient outcomes and increased healthcare costs including unplanned use of secondary healthcare which may be avoidable.

Aim

To summarise the current evidence on the association between depression and unplanned secondary healthcare use among patients with multimorbidity.

Methods

We conducted a systematic review by searching MEDLINE, EMBASE, PsychINFO, Web of Science, CINAHL, and Cochrane Library from January 2000 to March 2021. We included studies on adults with depression and at least one other physical long-term condition that examined risk of emergency hospital admissions as a primary outcome, alongside emergency department visits or emergency readmissions. Studies were assessed for risk of bias using The National Institute of Health National Heart, Lung, and Blood Institute quality assessment tool. Relevant data were extracted from studies and a narrative synthesis of findings produced.

Results

Twenty observational studies were included in the review. Depression was significantly associated with different outcomes of unplanned secondary healthcare use, across various comorbidities. Among the studies examining these outcomes, depression predicted emergency department visits in 7 out of 9 studies; emergency hospital admissions in 19 out of 20 studies; and emergency readmissions in 4 out of 4 studies. This effect increased with greater severity of depression. Other predictors of unplanned secondary care reported include increased age, being female, and presence of greater numbers of comorbidities.

Conclusion

Depression predicted increased risk of unplanned secondary healthcare use in individuals with multimorbidity. The literature indicates a research gap in identifying and understanding the impact of complex multimorbidity combinations, and other patient characteristics on unplanned care in patients with depression. Findings indicate the need to improve planned care for patients with moderate-to-severe depression. We suggest regular reviews of care plans, depression severity monitoring and assessment of hospital admission risk in primary care settings.

Predictors of change in depressive symptoms in older and multimorbid patients: a longitudinal analysis of the multicare cohort

BACKGROUND

Depression in older adults is becoming an increasing concern. As depressive symptoms change over time, it is important to understand the determinants of change in depressive symptoms. The aim of our study is to use a longitudinal study design to explore the predictors of change, remission and incident depression in older patients with multimorbidity.

METHODS

Data from the MultiCare cohort study were used. The cohort studied 3,189 multimorbid general practice patients aged 65-85. Data were collected during personal interviews. Depressive symptoms were assessed using the Geriatric Depression Scale (GDS-15). Predictors of change in depressive symptoms were determined using multivariate linear regression, while multivariate logistic regression was used to analyze predictors of remission and incident depression. Models included depressive symptoms at baseline and follow-up, socio-demographics and data on health status and social support.

RESULTS

Overall, 2,746 participants with complete follow-up data were analyzed. Mean age was 74.2 years, 59.2% were female, and 11.3% were classified as depressed at baseline. Burden of multimorbidity and social support were statistically significant predictors in all regression analyses. Further predictors of change in depressive symptoms were: income, pain, nursing grade, self-rated health and self-efficacy.

LIMITATIONS

The sample size for prediction of remission limited statistical certainty. Assessment of depressive symptoms using GDS-15 differs from routine clinical diagnoses of depression.

CONCLUSIONS

Predictors of change in depressive symptoms in older multimorbid patients are similar to those predicting remission and incident depression, and do not seem to differ significantly from other older patient populations with depressive symptoms.

Adverse childhood experiences in depression and the mediating role of multimorbidity in mid-late life: A nationwide longitudinal study

BACKGROUNDS

Adverse childhood experiences are co-occurring factors of multimorbidity and depression in mid-late life, but the combined effect of ACEs and multimorbidity on depression over life has not been fully studied.

METHODS

We used data from the China Health and Retirement Longitudinal Study which includes 4,440 middle-aged and older adults. Different types of ACEs experienced up to the age of 17 were assessed based on self-reports. We used parallel process Latent Growth Curve modelling to evaluate the longitudinal mediation role of ACEs, multimorbidity and depression.

RESULTS

People who had more ACEs were found to have a higher level of multimorbidity (intercept: 0.057, 95% CI: 0.031 to 0.079) and depression (intercept: 0.047, 95% CI: 0.013 to 0.076) at the baseline and a faster increase in multimorbidity (slope: 0.107, 95%CI: 0.078 to 0.136) and depression (slope: 0.074, 95%CI: 0.035 to 0.153). The mediation analysis indicated that there was a positive indirect association of ACEs via the multimorbidity intercept with the intercept of depression (0.028, 95%CI: 0.012 to 0.043), and a small negative association with the slope of depression (-0.002, 95%CI: -0.003 to -0.001). We also found a positive indirect association of ACEs via the multimorbidity slope with the intercept (0.035, 95%CI: 0.021 to 0.049) and slope (0.008, 95%CI: 0.004 to 0.011) of depression.

CONCLUSIONS

ACEs were related to higher depression partly via elevated multimorbidity. Public health services and behavioural interventions to prevent and reduce the occurrence of ACEs might help to lower the risk of multimorbidity and depression in later life.

The Quality of Health Apps and Their Potential to Promote Behavior Change in Patients With a Chronic Condition or Multimorbidity: Systematic Search in App Store and Google Play

Background

Mobile apps offer an opportunity to improve the lifestyle of patients with chronic conditions or multimorbidity. However, for apps to be recommended in clinical practice, their quality and potential for promoting behavior change must be considered.

Objective

We aimed to investigate the quality of health apps for patients with a chronic condition or multimorbidity (defined as 2 or more chronic conditions) and their potential for promoting behavior change.

Methods

We followed the Cochrane Handbook guidelines to conduct and report this study. A systematic search of apps available in English or Danish on App Store (Apple Inc) and Google Play (Google LLC) for patients with 1 or more of the following common and disabling conditions was conducted: osteoarthritis, heart conditions (heart failure and ischemic heart disease), hypertension, type 2 diabetes mellitus, depression, and chronic obstructive pulmonary disease. For the search strategy, keywords related to these conditions were combined. One author screened the titles and content of the identified apps. Subsequently, 3 authors independently downloaded the apps onto a smartphone and assessed the quality of the apps and their potential for promoting behavior change by using the Mobile App Rating Scale (MARS; number of items: 23; score: range 0-5 [higher is better]) and the App Behavior Change Scale (ABACUS; number of items: 21; score: range 0-21 [higher is better]), respectively. We included the five highest-rated apps and the five most downloaded apps but only assessed free content for their quality and potential for promoting behavior change.

Results

We screened 453 apps and ultimately included 60. Of the 60 apps, 35 (58%) were available in both App Store and Google Play. The overall average quality score of the apps was 3.48 (SD 0.28) on the MARS, and their overall average score for their potential to promote behavior change was 8.07 (SD 2.30) on the ABACUS. Apps for depression and apps for patients with multimorbidity tended to have higher overall MARS and ABACUS scores, respectively. The most common app features for supporting behavior change were the self-monitoring of physiological parameters (eg, blood pressure monitoring; apps: 38/60, 63%), weight and diet (apps: 25/60, 42%), or physical activity (apps: 22/60, 37%) and stress management (apps: 22/60, 37%). Only 8 out of the 60 apps (13%) were completely free.

Conclusions

Apps for patients with a chronic condition or multimorbidity appear to be of acceptable quality but have low to moderate potential for promoting behavior change. Our results provide a useful overview for patients and clinicians who would like to use apps for managing chronic conditions and indicate the need to improve health apps in terms of their quality and potential for promoting behavior change.

Longitudinal impact of metabolic syndrome and depressive symptoms on subsequent functional disability among middle-aged and older adults in China

BACKGROUND

Few studies examining the impact of metabolic syndrome and depressive symptoms on subsequent functional disability are available.

OBJECTIVES

To determine the impact of baseline metabolic syndrome and depressive symptoms on subsequent functional disability.

METHODS

This study used data from the 2011 baseline and 2013, 2015 and 2018 follow-up waves of the China Health and Retirement Longitudinal Study (CHARLS). Functional status was assessed by activities of daily living (ADLs) and instrumental ADLs (IADLs). Analyses were restricted to middle-aged and older adults (≥50 years) free of functional disability at baseline. Metabolic syndrome, depressive symptoms, and covariates were measured at baseline. New-onset ADL and IADL disability were obtained in follow-up measurements. Competitive risks based on survival analysis were conducted to examine the impact of baseline metabolic syndrome and depressive symptoms on subsequent functional disability after covariates were controlled.

RESULTS

Baseline depressive symptoms significantly predicted functional disability over a 7-year follow-up after adjusting for covariates (Hazard ratio [HR] = 1.54, 95% confidence intervals [CI] = 1.40-1.70 for ADL disability; HR=1.36, 95% CI=1.25-1.48 for IADL disability). Metabolic syndrome significantly predicted ADL disability (HR=1.25, 95% CI=1.14-1.38) but not IADL disability (HR=1.02, 95% CI=0.94-1.10). No significant additive interaction between metabolic syndrome and depressive symptoms on functional disability was found.

CONCLUSION

The current study found that baseline depressive symptoms were significantly associated with both ADL and IADL disabilities, while metabolic syndrome significantly predicted ADL disability. In addition, some indications showed that the effect in those with both conditions was greater than the sum of the effects separately.

Bidirectional association between physical multimorbidity and subclinical depression in Chinese older adults: Findings from a prospective cohort study

BACKGROUND

Both physical multimorbidity and subclinical depression pose a significant threat to aging population worldwide. The association between these conditions appeared to be in a bidirectional way, however the joint causal relationship yet to be fully understood in elderly Chinese population.

METHODS

A total of 4605 Chinese elders from the China Health and Retirement Longitudinal Study (CHARLS, 2011-2015) were included for the present study. Physical multimorbidity was defined as having two or more self-reported chronic physical conditions. Subclinical depression was defined by ≥ 12 scores assessed using the 10-item Centre for Epidemiological Studies Depression Scale. The bidirectional association between physical multimorbidity and subclinical depression was examined using multivariable logistic regression models, adjusting for covariates.

RESULTS

During study period, 23.99% of participant reported incident episode of subclinical depression and 21.36% reported physical multimorbidity. In fully adjusted model, those with physical multimorbidity were two times more likely to have subclinical depression (OR = 2.05, 95% CI: 1.71-2.46). Besides that, subclinical depression was associated with physical multimorbidity (OR = 1.84, 95% CI: 1.50-2.46), but in slightly less magnitude. Furthermore, the bidirectional association remains statistically significant across different subgroups.

LIMITATIONS

Chronic conditions were all self-reported and we couldn't adjust for all confounders, which may be subject to measurement error.

CONCLUSIONS

Physical multimorbidity and subclinical depression was associated in a bidirectional way in elderly Chinese population, which highlights the necessary of covering a broad spectrum of aspects of clinical management among adults with physical multimorbidity or subclinical depression.

Multimorbidity, depressive symptoms and disability in activities of daily living amongst middle-aged and older Chinese: Evidence from the China Health and Retirement Longitudinal Study

BACKGROUND

Given that multimorbidity is strongly associated with disability in activities of daily living (ADL) and the mechanism still remains unclear, this study sought to investigate the mediating effect of depressive symptoms on such association.

METHODS

A longitudinal dataset was drawn from the China Health and Retirement Longitudinal Study (CHARLS, 2011-2015), including 3951 adults aged 45 years and above. By sex, logistic regression and mediation analysis (the Karlson, Holm, and Breen Method) were employed.

RESULTS

The presence of multimorbidity was associated with increased odds of having depressive symptoms and developing ADL disability, and depressive symptoms was significantly associated with ADL disability among middle-aged and older women. Mediation analysis illustrated that depressive symptoms accounted for 6.36% of the effect of multimorbidity on ADL disability in women.

LIMITATIONS

Results might not generalize to all middle-aged and older Chinese due to missing data on depressive symptoms and ADL.

CONCLUSIONS

Multimorbidity increased the likelihood of ADL disability onset partially through depressive symptoms in middle-aged and older women, suggesting that emphasizing mental wellness of females with multimorbidity are necessary to prevent impairments in physical function.

Depressive symptoms during early adulthood and the development of physical multimorbidity in the UK: an observational cohort study

BACKGROUND

An understanding of whether early-life depression is associated with physical multimorbidity could be instrumental for the development of preventive measures and the integrated management of depression. We therefore aimed to map out the cumulative incidence of physical multimorbidity over adulthood, and to determine the association between the presence of depressive symptoms during early adulthood and the development of physical multimorbidity in middle age.

METHODS

In this observational cohort study, we used pooled data from the 1958 National Child Development Study (NCDS) and the 1970 British Cohort Study (BCS). Cohort waves were pooled in each decade of adult life available (when cohort members were aged 26 years in the BCS and 23 years in the NCDS [baseline]; 34 years in the BCS and 33 years in the NCDS [age 34 BCS/33 NCDS]; 42 years in the BCS and NCDS [age 42 BCS/NCDS]; and 46 years in the BCS and 50 years in the NCDS [age 46 BCS/50 NCDS]). We included participants who had completed the nine-item Malaise Inventory at baseline, and did not have a history of physical multimorbidity, any physical multimorbidity at baseline, or the presence of depressive symptoms before the development of physical multimorbidity. The presence of depressive symptoms was determined using the nine-item Malaise Inventory (cutoff score ≥4). Physical multimorbidity was defined as having at least two measures of any of the following ten self-reported groups of long-term conditions: asthma or bronchitis; backache; bladder or kidney conditions; cancer; cardiovascular conditions; convulsions or epilepsy; diabetes; hearing conditions; migraine; and stomach, bowel, or gall conditions. Cumulative incidence (with 95% CI) of physical multimorbidity was calculated for each decade considered after baseline, with physical multimorbidity being assessed as both a dichotomous and categorical variable. The association between depressive symptoms and the development of physical multimorbidity was assessed using adjusted relative risk ratios (with 95% CIs).

FINDINGS

Analyses included 15 845 participants, of whom 4001 (25·25%; 95% CI 24·57-25·93) had depressive symptoms at baseline and 11 844 (74·75%; 74·07-75·42) did not. The cumulative incidence of physical multimorbidity (dichotomous) ranged over the study period from 2263 (18·44%; 95% CI 17·75-18·14) of 12 273 participants at age 34 BCS/33 NCDS, to 4496 (42·90%; 41·95-43·85) of 10 481 participants at age 46 BCS/50 NCDS, and was consistently higher in participants with depressive symptoms at baseline. The adjusted relative risk of physical multimorbidity was higher in participants with depressive symptoms than in those without and remained stable over the study period (adjusted relative rate ratio 1·67, 95% CI 1·50-1·87, at age 34 BCS/33 NCDS; 1·63, 1·48-1·79, at age 42 BCS/NCDS; and 1·58, 1·43-1·73, at age 46 BCS/50 NCDS).

INTERPRETATION

The presence of depressive symptoms during early adulthood is associated with an increased risk of the development of physical multimorbidity in middle age. Although further research about the drivers of this relationship is needed, these results could help to enhance the integrated management of individuals with depressive symptoms and the development of preventive strategies to reduce the effect and burden of physical multimorbidity.

FUNDING

UK Medical Research Council and Guy's Charity.

Bridging late-life depression and chronic somatic diseases: a network analysis

The clinical presentation of late-life depression is highly heterogeneous and likely influenced by the co-presence of somatic diseases. Using a network approach, this study aims to explore how depressive symptoms are interconnected with each other, as well as with different measures of somatic disease burden in older adults. We examined cross-sectional data on 2860 individuals aged 60+ from the Swedish National Study on Aging and Care in Kungsholmen, Stockholm. The severity of sixteen depressive symptoms was clinically assessed with the Comprehensive Psychopathological Rating Scale. We combined data from individual clinical assessment and health-registers to construct eight system-specific disease clusters (cardiovascular, neurological, gastrointestinal, metabolic, musculoskeletal, respiratory, sensory, and unclassified), along with a measure of overall somatic burden. The interconnection among depressive symptoms, and with disease clusters was explored through networks based on Spearman partial correlations. Bridge centrality index and network loadings were employed to identify depressive symptoms directly connecting disease clusters and depression. Sadness, pessimism, anxiety, and suicidal thoughts were the most interconnected symptoms of the depression network, while somatic symptoms of depression were less interconnected. In the network integrating depressive symptoms with disease clusters, suicidal thoughts, reduced appetite, and cognitive difficulties constituted the most consistent bridge connections. The same bridge symptoms emerged when considering an overall measure of somatic disease burden. Suicidal thoughts, reduced appetite, and cognitive difficulties may play a key role in the interconnection between late-life depression and somatic diseases. If confirmed in longitudinal studies, these bridging symptoms could constitute potential targets in the prevention of late-life depression.

Associations between physical multimorbidity patterns and common mental health disorders in middle-aged adults: A prospective analysis using data from the UK Biobank

Background

We aimed to identify specific patterns of physical multimorbidity, defined as the presence of two or more physical long-term conditions, and to examine the extent to which these specific patterns could predict future incident and persistent common mental health disorders (CMDs) in middle-aged adults enrolled in the UK Biobank.

Methods

We assessed prospective associations between physical multimorbidity status at the baseline assessment (2006–2010) and depression and anxiety ‘caseness’ according to the Patient Health Questionnaire (PHQ)-9 and the Generalised Anxiety Disorder Assessment (GAD)-7 at the follow-up assessment (2016) in 154,367 middle-aged adults enrolled in the UK Biobank (median age: 57 years, interquartile range = 50–62 years, 56.5% female, mean duration of follow-up: 7.6 years, standard deviation = 0.87). Patterns of physical multimorbidity were identified using exploratory factor analysis. Logistic regression was used to assess prospective associations between physical multimorbidity patterns at baseline and both incident and persistent depression and anxiety at follow-up.

Findings

Compared to those with no physical multimorbidity, having two (adjusted odds ratio (aOR) =1.41, 95%CI 1.32 to 1.53), three (aOR = 1.94, 95%CI 1.76 to 2.14), four (aOR = 2.38, 95%CI 2.07 to 2.74), and five or more (aOR = 2.89, 95%CI 2.42 to 3.45) physical conditions was prospectively associated with incident depression at follow-up in a dose response manner. Similar trends emerged for incident anxiety, persistent depression, and persistent anxiety, but associations were strongest for incident CMDs. Regarding specific patterns of physical MM, the respiratory pattern (aOR = 3.23, 95%CI 2.44 to 4.27) and the pain/gastrointestinal pattern (aOR = 2.19, 95%CI 1.92 to 2.50) emerged as the strongest predictors of incident depression. Similar results emerged for incident anxiety.

Interpretation

These findings highlight patterns of physical multimorbidity with the poorest prognosis for both emerging and persisting depression and anxiety. These findings might have significant implications for the implementation of integrated mental and physical healthcare and facilitate the development of targeted preventative interventions and treatment for those with physical multimorbidity.

Funding

AR is supported by Guy's Charity grant number EIC180702; JAT is funded by Medical Research Council (MRC) number MR/SO28188/1; AD is funded by Guy's Charity grant number EIC180702 and MRC grant number MR/SO28188/1. JD is part supported by the ESRC Centre for Society and Mental Health at King's College London (ES/S012567/1), grants from the ESRC (ES/S002715/1), by the Health Foundation working together with the Academy of Medical Sciences, for a Clinician Scientist Fellowship, and by the National Institute for Health Research (NIHR) Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London and the National Institute for Health Research (NIHR) Applied Research Collaboration South London (NIHR ARC South London) at King's College Hospital NHS Foundation Trust. The views expressed are those of the author[s] and not necessarily those of the ESRC, NIHR, the Department of Health and Social Care or King's College London.

Predictors of Psychological Distress in Women with Endometriosis: The Role of Multimorbidity, Body Image, and Self-Criticism

While large numbers of women report high levels of psychological distress associated with endometriosis, others report levels of distress that are comparable to those of healthy women. Thus, the aim of the current study was to develop an explanatory model for the effect of endometriosis on women’s psychological distress. Furthermore, it sought to further investigate the role of body image, self-criticism, and pain intensity on the psychological distress associated with endometriosis and establish the effect of chronic illness load on the development of this distress. This study comprised a total of 247 women aged 20–49 (M = 31.3, SD = 6.4)—73 suffering from endometriosis only, 62 suffering from endometriosis and an additional chronical illness (ACI), and 112 healthy peers (HP)—who completed the Patient Health Questionnaire, the Generalized Anxiety Disorder-Item Scale, the Body Appreciation Scale-2, and the Self-Criticism Sub-Scale. When comparing each endometriosis group to their HP’s, we found that the differences between HP and endometriosis ACI in depression and anxiety were mediated by body image (Betas = 0.17 and 0.09, respectively, p’s < 0.05) and self-criticism (Betas = 0.23 and 0.26, respectively, p’s < 0.05). When comparing endometriosis participants to endometriosis ACI participants, differences in depression were mediated by body image, self-criticism, and pain intensity (Betas = 0.12, 0.13, 0.13 respectively, p’s < 0.05), and the differences in anxiety were mediated by self-criticism and pain intensity (Betas = 0.19, 0.08, respectively, p’s < 0.05). Physicians and other health professionals are advised to detect women with endometriosis ACI who are distressed, and to offer them appropriate intervention.