Physical Multimorbidity Research Articles

Using Machine Learning to identify the social determinants of the mid-life decline in mental health

Abstract Background The mid-life decline in mental well-being, depicted as a U-shaped pattern, is debated across disciplines. This study seeks to identify the social determinants of this decline and the overall contribution of social determinants to changes in mid-life mental health. Methods We use data from the 1970 British Cohort Study, from the ages 26, 34, and 42 (N = 6992, 51.5% female). Mental distress was measured using the 9-score Malaise Inventory. Mental distress increased from age 34 (M = 1.67) to 42 (M = 1.86; p < 0.001), with 17.8% declining by at least 1 SD on the inventory. We contrasted this group of decliners with those exhibiting stable mental health. We included socioeconomic and family factors, as well as physical health and health behaviours as potential determinants of mental health decline (at ages 26, 34, or at birth). We combine Random Forest and logistic regressions. Results The Random Forest’s Variable Importance (VI; root Mean Squared Error (MSE)), revealed social class at birth (VI = 0.023), physical multimorbidity at age 26 (VI = 0.22), and income quintile at age 34 (VI = 0.022) as most important predictors. Regressions confirmed that low birth social class (OR = 1.51 [1.25-1.83]), high-income at age 34 (OR = 0.68 [0.53-0.88]), and physical multimorbidity at age 26 (OR = 1.25 [1.06-1.48]) predict mental health decline. For those with high income and social class, the predicted probability of mid-life mental health decline is 0.109 (CI = [0.08-0.139]), rising to 0.277 (CI = [0.227-0.324]) for high risk individuals. Social class does not predict changes in mental health between ages 26 - 34. Interpretation We show that various social determinants of health contribute to the observed decline in mental health during mid-life. Social class at birth, income, and physical health are the most relevant predictors; they reduce the risk of decline from up to 27% to 11%. The contribution of social class appears specific to mid-life, and it could help explain the U-shaped pattern. Key messages • Social Factors Matter: Social class, income, and health predict mid-life mental decline. • Mid-life Class Impact: Social class uniquely affects mental health decline in mid-life.

Associations between socioeconomic status and dynamic development of physical,psychological and cognitive degenerative multimorbidity among middle aged and older adults in China

Objective: To analyze the dynamic development of physical, psychological, and cognitive degenerative multimorbidity among middle-aged and older Chinese adults (≥45 years old) while estimating the longitudinal association between socioeconomic status (SES) and the progression of multimorbidity. Methods: Based on data from the China Health and Retirement Longitudinal Study (2011-2020), the Sankey diagram was used to show the dynamic development of physical, psychological, and cognitive degenerative multimorbidity from 2011 to 2020. SES was constructed based on the level of education and total household wealth. Logistic regression was used to estimate OR and 95%CI to evaluate the association between SES and the progression of multimorbidity. Results: Of the 5 393 participants included, 4 484 (83.14%) of them developed new diseases, and the prevalence of physical, psychological, and cognitive degenerative multimorbidity increased from 38.04% to 74.23%. Compared to those with no reported disorders at baseline, participants with psychological disorder (for newly developed physical-cognitive multimorbidity: OR=4.59,95%CI: 2.89-7.29), cognitive disorder (for newly developed physical-psychological multimorbidity: OR=2.24,95%CI: 1.40-3.60), or their multimorbidity at baseline were more likely to progress to physical, psychological, and cognitive degenerative multimorbidity. After adjusting covariates, individuals with low SES were more likely to develop physical diseases (OR=1.45, 95%CI: 1.11-1.89), cognitive disorder (OR=1.84, 95%CI: 1.16-2.91), physical-psychological multimorbidity (OR=1.87, 95%CI: 1.37-2.56), physical-cognitive multimorbidity (OR=3.58, 95%CI: 2.54-5.06), psychological-cognitive multimorbidity (OR=5.66, 95%CI: 3.04-10.55), and physical-psychological-cognitive multimorbidity (OR=3.21, 95%CI: 2.06-5.01) in comparison to those with high SES. There is a dose-response relationship between SES and the multimorbidity progression (all trend P<0.001). Conclusions: The prevalence of physical, psychological, and cognitive degenerative multimorbidity increased significantly among middle-aged and older Chinese adults. Lower SES was associated with multiple patterns of physical, psychological, and cognitive disorders progression.

Mediterranean Diet and Lifestyle in Persons with Mild to Moderate Alzheimer's Disease.

Due to the continuous aging of the population and consequent increase in dementia, focus on its prevention is of growing importance for public health. Since effective pharmacological treatments are not yet available, other determinants of cognitive decline have become fundamental. Several studies have indicated that the Mediterranean diet (MedDiet) is associated with reduced incident cognitive decline and dementia, but few studies have been conducted in persons already diagnosed with Alzheimer's disease (AD). We age-matched 73 patients with mild-moderate AD with 73 controls (mean age for the whole group = 76.5 ± 6.5; 67.5% women). The cases had a significantly lower adherence to the MedDiet and lower physical activity vs. controls, where only one participant (1.4%) had a high adherence to the MedDiet among cases compared to 5.5% among controls, while 52.5% of the cases had a moderate adherence to the MedDiet vs. 82.2% in controls. In multivariate analysis, only the presence of AD was significantly associated with a lower adherence to the MedDiet vs. controls. Other factors examined (gender, age, physical activity level, multimorbidity, and polypharmacy) were not significantly associated with adherence to the MedDiet. Thus, AD patients had a low adherence to the MedDiet and very low physical activity. Public health strategies aimed at promoting the Mediterranean diet and physical activity for older people should be a priority.

Effects of physical and psychological multimorbidity on the risk of dementia: multinational prospective cohorts and a meta-analysis

BackgroundPrevious studies only considered the impact of a single physical or psychological disorder on dementia. Our study investigated the association of physical and psychological multimorbidity with dementia among older adults using two multinational prospective cohorts to supplement the limited joint evidence.MethodsWe utilized the Health and Retirement Study (HRS 2012 to 2018) in the United States (US) and the Survey of Health, Ageing and Retirement in Europe (SHARE 2012 to 2018). Physical disorder was defined as any one of seven self-reported physician-diagnosed conditions. Psychological disorder was assessed using the 8-item Center for Epidemiologic Research Depression (CES-D) scale or the EURO-D. Dementia was determined through a combination of self-reported physician diagnosis of dementia or Alzheimer’s disease, or the 27-point HRS cognitive scale. Competing risk models were utilized to estimate the hazard ratios (HRs) and 95% confidence intervals (95% CI). DerSimonian-Laird random-effects meta-analyses were conducted to obtain pooled estimates.ResultsThe prevalence of physical and psychological multimorbidity was 17.29% (1027/5939) in continental Europe and 15.52% (1326/8543) in the US. The incidence of dementia was 6.21 per 1000 person-years in continental Europe and 8.27 per 1000 person-years in the US, respectively. It was highest among participants with physical and psychological multimorbidity in continental Europe (10.46 per 1000 person-years) and the US (14.82 per 1000 person-years), compared with the other three groups. In the univariate model, participants who reported physical and psychological multimorbidity had a higher risk of dementia compared with those who reported no physical and psychological disorders in continental Europe (HR = 2.59; 95% CI: 1.55, 4.33) and the US (HR = 4.11; 95% CI: 2.44, 6.94). After adjusting all covariates, the risk of dementia among participants who reported physical and psychological multimorbidity increased by 86% in continental Europe (aHR = 1.86; 95% CI: 1.08, 3.21) and by 176% in the US (aHR = 2.76; 95% CI: 1.61, 4.72), respectively. After pooling the outcomes, the risk of dementia among participants who reported physical and psychological multimorbidity increased by 115% (aHR = 2.15; 95% CI: 1.27, 3.03).ConclusionsPhysical and psychological multimorbidity was prevalent among older adults in the US and continental Europe. Given the consistent associations with dementia, it is imperative to increase awareness of the links and recognize the limitations of single-disorder care. Specific attention should be given to providing care coordination.

Healthcare providers’ perception of caring for older patients with depression and physical multimorbidity: insights from a focus group study

BackgroundThe caretaking process for older adults with depression and physical multimorbidity is complex. Older patients with both psychiatric and physical illnesses require an integrated and comprehensive approach to effectively manage their care. This approach should address common risk factors, acknowledge the bidirectional relationship between somatic and mental health conditions, and integrate treatment strategies for both aspects. Furthermore, active engagement of healthcare providers in shaping new care processes is imperative for achieving sustainable change.ObjectiveTo explore and understand the needs and expectations of healthcare providers (HCPs) concerning the care for older patients with depression and physical multimorbidity.MethodsSeventeen HCPs who work with the target group in primary and residential care participated in three focus group interviews. A constructivist Grounded Theory approach was applied. The results were analyzed using the QUAGOL guide.ResultsParticipants highlighted the importance of patient-centeredness, interprofessional collaboration, and shared decision-making in current healthcare practices. There is also a need to further emphasize the advantages and risks of technology in delivering care. Additionally, HCPs working with this target population should possess expertise in both psychiatric and somatic care to provide comprehensive care. Care should be organized proactively, anticipating needs rather than reacting to them. Healthcare providers, including a dedicated care manager, might consider collaborating, integrating their expertise instead of operating in isolation. Lastly, effective communication among HCPs, patients, and their families is crucial to ensure high-quality care delivery.ConclusionThe findings stress the importance of a comprehensive approach to caring for older adults dealing with depression and physical comorbidity. These insights will fuel the development of an integrated care model that caters to the needs of this population.

Physical multimorbidity in psychiatric patients with personality disorders: Insights within the ICD-11 framework

ObjectiveRecent research has revealed poor physical health among individuals with personality disorders (PDs). We aimed to compare chronic physical illnesses (CPI) and chronic physical multimorbidity (CPM) prevalence between the general population (GEP) and PD patients, and to explore the relationship between CPM and various aspects of PD, predominantly within the ICD-11 framework. MethodsThis cross-sectional study included 126 PD patients and 126 matched controls from the GEP. Patients were evaluated for the ICD-11 PD severity and maladaptive personality domains, subjective emptiness, and reflective functioning. CPI was assessed using a standardized self-report questionnaire. ResultsPD patients had a higher mean number of CPIs (2.05 vs. 1.02) and a more frequent CPM occurrence (49.2% vs. 26.2%) compared to the matched controls (p < .001). The ICD-11 PD severity (OR = 1.143, p = .007) and maladaptive domain Negative affectivity (OR = 4.845, p = .002), and poor reflective functioning (OR = 1.694, p = .007) were significant predictors of CPM, independent of sociodemographic, clinical and lifestyle factors. Negative affectivity showed the most robust effect on CPM, while smoking did not significantly mediate these relationships. ConclusionOur study found increased CPM burden in PD patients and a link between CPM and various PD aspects under the ICD-11 framework, highlighting the need for more integrated healthcare.

The relationship between clinical presentation and the nature of care in adults with intellectual disability and epilepsy - national comparative cohort study.

A quarter of People with Intellectual Disabilities (PwID) have epilepsy compared with 1% of the general population. Epilepsy in PwID is a bellwether for premature mortality, multimorbidity and polypharmacy. This group depends on their care provider to give relevant information for management, especially epilepsy. There is no research on care status relationship and clinical characteristics of PwID and epilepsy. Explore and compare the clinical characteristics of PwID with epilepsy across different care settings. A retrospective multicentre cohort study across England and Wales collected information on seizure characteristics, intellectual disability severity, neurodevelopmental/biological/psychiatric comorbidities, medication including psychotropics/anti-seizure medication, and care status. Clinical characteristics were compared across different care settings, and those aged over and younger than 40 years. Of 618 adult PwID across six centres (male:female = 61%:39%), 338 (55%) received professional care whereas 258 (42%) lived with family. Significant differences between the care groups existed in intellectual disability severity (P = 0.01), autism presence (P < 0.001), challenging behaviour (P < 0.001) and comorbid physical conditions (P = 0.008). The two groups did not vary in intellectual disability severity/genetic conditions/seizure type and frequency/psychiatric disorders. The professional care cohort experienced increased polypharmacy (P < 0.001) and antipsychotic/psychotropic use (P < 0.001/P = 0.008).The over-40s cohort had lower autism spectrum disorder (ASD) and attention-deficit hyperactivity disorder (ADHD) comorbidity (P < 0.001/P = 0.007), increased psychiatric comorbidity and challenging behaviour (P < 0.05), physical multimorbidity (P < 0.001), polypharmacy (P < 0.001) and antipsychotic use (P < 0.001) but reduced numbers of seizures (P = 0.007). PwID and epilepsy over 40 years in professional care have more complex clinical characteristics, increased polypharmacy and antipsychotic prescribing but fewer seizures.

Personality assessment in nursing home residents with mental and physical multimorbidity: two informant perspectives.

In older patients with mental and physical multimorbidity (MPM), personality assessment is highly complex. Our aim was to examine personality traits in this population using the Hetero-Anamnestic Personality questionnaire (HAP),and to compare the premorbid perspective of patients' relatives (HAP) with the present-time perspective of nursing staff (HAP-t). Cross-sectional. Dutch gerontopsychiatric nursing home (GP-NH) units. Totally, 142 GP-NH residents with MPM (excluding dementia). NH norm data of the HAP were used to identify clinically relevant premorbid traits. Linear mixed models estimated the differences between HAP and HAP-t trait scores (0-10). Agreement was quantified by intraclass correlation coefficients (ICCs). All HAP-HAP-t analyses were corrected for response tendency (RT) scores (-10-10). 78.4% of the patients had at least one premorbid maladaptive trait, and 62.2% had two or more. Most prevalent were: "disorderly" (30.3%), "unpredictable/impulsive" (29.1%) and "vulnerable" (27.3%) behavior. The RT of relatives appeared significantly more positive than that of nursing staff (+1.8, 95% CI 0.6-2.9, p = 0.002). After RT correction, the traits "vulnerable", "perfectionist" and "unpredictable/impulsive" behavior scored higher on the HAP than HAP-t (respectively +1.2, 95% CI 0.6-1.7, p < 0.001; +2.1, 95% CI 1.3-2.8, p < 0.001; +0.6, 95% CI 0.1-1.1, p = 0.013), while "rigid" behavior scored lower (-0.7, 95% CI -1.3 to -0.03, p = 0.042). Adjusted ICCs ranged from 0.15 to 0.58. Our study shows high percentages of premorbid maladaptive personality traits, which calls for attention on personality assessment in MPM NH residents. Results also indicate that the HAP and HAP-t questionnaires should not be used interchangeably for this patient group in clinical practice.

Prevalence of multimorbidity in people with and without severe mental illness: a systematic review and meta-analysis

People with severe mental illness, such as schizophrenia-spectrum disorder and bipolar disorder, face poorer health outcomes from multiple chronic illnesses. Physical multimorbidity, the coexistence of two or more chronic physical conditions, and psychiatric multimorbidity, the coexistence of three or more psychiatric disorders, are both emerging concepts useful in conceptualising disease burden. However, the prevalence of physical and psychiatric multimorbidity in this cohort is unknown. This study aimed to estimate the absolute prevalence of both physical and psychiatric multimorbidity in people with severe mental illness, and also compare the odds of physical multimorbidity prevalence against people without severe mental illness. We searched CINAHL, EMBASE, PubMed, and PsycINFO from inception until Feb 15, 2024, for observational studies that measured multimorbidity prevalence. To be included, studies had to have an observational study design, be conducted in an adult population (mean age ≥18 years) diagnosed with either schizophrenia-spectrum disorder or bipolar disorder, and include a measurement of occurrence of either physical multimorbidity (≥2 physical health conditions) or psychiatric multimorbidity (≥3 psychiatric conditions total, including the severe mental illness). From control studies, a random-effects meta-analysis compared odds of physical multimorbidity between people with and without severe mental illness. Absolute prevalence of physical and psychiatric multimorbidity in people with severe mental illness was also calculated. Sensitivity and meta-regression analyses tested an array of demographic, diagnostic, and methodological variables. From 11 144 citations we included 82 observational studies featuring 1 623 773 individuals with severe mental illness (specifically schizophrenia-spectrum disorder or bipolar disorder), of which 21 studies featured 13 235 882 control individuals without severe mental illness (descriptive data for the entire pooled cohorts were not available for numbers of males and females, age, and ethnicity). This study did not feature involvement of people with lived experience. The odds ratio (OR) of physical multimorbidity between people with and without severe mental illness was 2·40 (95% CI 1·57-3·65, k=11, p=0·0009). This ratio was higher in younger severe mental illness populations (mean age ≤40 years, OR 3·99, 95% CI 1·43-11·10) compared with older populations (mean age >40 years, OR 1·55, 95% CI 0·96-2·51; subgroup differences p=0·0013). For absolute prevalence, 25% of those with severe mental illness have physical multimorbidity (95% CI 0·19-0·32, k=29) and 14% have psychiatric multimorbidity (95% CI 0·08-0·23, k=21). This is the first meta-analysis to estimate physical alongside psychiatric multimorbidity prevalence, showing that these are common in people with schizophrenia-spectrum disorder and bipolar disorder. The greater burden of physical multimorbidity in people with severe mental illness compared with those without is higher for younger cohorts, reflecting a need for earlier intervention. Our findings speak to the utility of multimorbidity for characterising the disease burden associated with severe mental illness, and the importance of facilitating integrated physical and mental health care. None.

Enhancing Physical Health in Patients with Severe Mental Disorder: Addressing Physical Multimorbidity

IntroductionOver the last two decades, a growing volume of research has discovered a correlation between severe mental disorders (SMD) and early mortality. This is attributed to the elevated incidence of chronic physical illnesses s and multimorbidity, resulting in a reduction of life expectancy by 10-20 years. Individuals with SMD exhibit lower rates of prevention, diagnosis, and treatment for medical comorbidities when contrasted with the general population (GP).ObjectivesThe objective is to assess the prevalence of CPM and its impact on psychiatric treatment outcomes in individuals with SMD, and to propose preventive interventions to enhance physical health.MethodsThis nested cross-sectional study enrolled 343 SSD patients and 620 GEP.ResultsIndividuals diagnosed with SMD encounter CPM earlier in life compared to the GP. Notably, individuals under 35 years old within the schizophrenia spectrum disorder have almost three times higher odds for experiencing CPM compared to their GP counterparts, a difference that is both clinically and theoretically significant. This disparity is especially pronounced among younger women, with the gap widening the younger the patient is in comparison to peers in the general population. CPM has been identified as a factor affecting the outcomes of psychiatric treatment.ConclusionsThe treatment approach for SMD should be tailored to accommodate the diverse physical multimorbidity patterns of patients. It’s imperative for future research to delve into how CPM impacts the outcomes of SMD treatments. There’s a pressing need for detailed treatment guidelines addressing CPM in patients with SMD.Disclosure of InterestNone Declared

Physical illness and multimorbidities in patients diagnosed with personality disorder

IntroductionPeople with personality disorder (PD) often experience suffering, suboptimal psychiatric treatment outcomes, and early mortality due to chronic physical illness (CPI) and multimorbidity (≥2 CPI) (CPM). Increasing research underscores the elevated prevalence of CPI and CPM in those with PD.ObjectivesTo compare the prevalence of CPI/CPM between the general population and those with PD and to explore the relationship between CPI/CPM and various aspects of PD.MethodsThis cross-sectional study enrolled 126 PD patients (70.6% female, mean age 41.22 years) based on the ICD-10 criteria, and 126 socio-demographically matched individuals from the general population. The participants completed the following instruments: the ICD-11 Personality Disorder Severity Scale (PDS-ICD-11), the Personality Assessment Questionnaire for ICD-11 (PAQ-11), Subjective Emptiness Scale (SES), the Reflective Functioning Questionnaire-Revised-7 (RFQ-R-7), and self-reported chronic physical illnesses questionnaire.ResultsThe mean number of CPI in patients with PD and matched controls was 2.69 (SD=2.371) and 1.02 (SD=1.702), respectively, and this difference was statistically significant. Patients with PD also suffered more often from CPM than none or one CPI, compared to matched controls. In the multivariate logistic regression analyses among the patients with PD, higher personality disorder severity, increased trait Negative Affectivity and poorer reflective functioning/mentalizing were predictive of having CPM. These relationships were independent of age, gender, education status, income level, length of psychiatric treatment, and smoking status. Subjective emptiness was not significantly predictive of having CPM.ConclusionsThis study highlights a higher prevalence of CPI and CPM in individuals with PD compared to the general population. Factors such as higher PD severity, increased Negative Affectivity, and poorer reflective functioning were identified as predictors of CPM. These findings underscore the necessity for integrated healthcare approaches to address the multifaceted needs of PD patients, emphasizing the importance of considering both mental and physical health in treatment strategies.Disclosure of InterestNone Declared

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

BackgroundThe 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. MethodsMiddle-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. ResultsThe 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. LimitationsThe self-report measures, attribution bias. ConclusionsCompared 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.

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

ObjectiveThis 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. MethodsThis 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. ResultsThe 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. ConclusionCognitive 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.

Functional disability and its associated factors among community- dweller older adults living in Gondar Town, Ethiopia: a community-based cross-sectional study

BackgroundFunctional disability is an emerging public health concern that has an impact on the health and quality of life of older adults. If functional disability recognized early, it will be possible to support them to live independently. Although functional disability is extensively researched in developed countries; studies are scarce in Sub-Saharan Africa, particularly Ethiopia. Therefore, this study aims to assess the prevalence and associated factors of functional disability in activities of daily living among older adults in Gondar town, Ethiopia.MethodsA community-based cross-sectional study was conducted from April to June 2022. Multistage sampling techniques were used to recruit 607 older adults aged 60 years and older. A pre-tested interview-administered questionnaire was used to assess functional disability in basic activities of daily living and instrumental activities of daily living using the Katz Index and Lawton scale, respectively. Bivariate and multivariable logistic regression models were employed. The findings of the study were presented by descriptive statistics and an adjusted odds ratio with 95% CI was used to determine statistical significance.ResultsThe prevalence of functional disability in basic activities of daily living and instrumental activities of daily living among older adults was 34.5% and 54.4, respectively. Age 80 and older [AOR = 2.41, CI (1.41–4.10)], low-income status [AOR = 2.58, CI (1.50–4.46)], multimorbidity [AOR = 2.97, CI (1.92–4.60)], depression [AOR = 2.97, CI (1.63–5.40)], and low level of physical activity [AOR = 3.31, CI (2.11–5.17)] were associated with basic activities of daily living. Age 80 and older (AOR = 3.11, CI = 1.94-5.00), multimorbidity [AOR = 3.06, CI (2.10–4.46)], and depression [AOR = 3.52, CI (2.10–4.46)] were associated with instrumental activities of daily living.Conclusion and recommendationsOur study finding revealed that functional disability affects a large number of older adult residents. The age group of 80 years and older, low-income status, a low level of physical activity, multimorbidity, and depression were associated with basic and instrumental activities of daily living. Therefore, health interventions designed to increase older adults’ level of physical activity, management of multimorbidity, and depression, more care for elders 80 years and older, and supporting older adults financially for health insurance coverage could be an important strategy to reduce functional disability among older adults.

Multistate survival modelling of multimorbidity and transitions across health needs states and death in an ageing population

BackgroundUnmet health needs have the potential to capture health inequality. Nevertheless, the course of healthcare needs fulfilment, and the role of multimorbidity in this process remains unclear. This study assessed...

The moderating effect of mental health and health insurance ownership on the relationships between physical multimorbidity and healthcare utilisation and catastrophic health expenditure in India

BackgroundThe current demographic transition has resulted in the growth of the older population in India, a population group which has a higher chance of being affected by multimorbidity and its subsequent healthcare and economic consequences. However, little attention has been paid to the dual effect of mental health conditions and physical multimorbidity in India. The present study, therefore, aimed to analyse the moderating effects of mental health and health insurance ownership in the association between physical multimorbidity and healthcare utilisation and catastrophic health expenditure (CHE).MethodsWe analysed the Longitudinal Aging Study in India, wave 1 (2017–2018). We determined physical multimorbidity by assessing the number of physical conditions. We built multivariable logistic regression models to determine the moderating effect of mental health and health insurance ownership in the association between the number of physical conditions and healthcare utilisation and CHE. Wald tests were used to evaluate if the estimated effects differ across groups defined by the moderating variables.ResultsOverall, around one-quarter of adults aged 45 and above had physical multimorbidity, one-third had a mental health condition and 20.5% owned health insurance. Irrespective of having a mental condition and health insurance, physical multimorbidity was associated with increased utilisation of healthcare and CHE. Having an additional mental condition strengthened the adverse effect of physical multimorbidity on increased inpatient service use and experience of CHE. Having health insurance, on the other hand, attenuated the effect of experiencing CHE, indicating a protective effect.ConclusionsThe coexistence of mental health conditions in people with physical multimorbidity increases the demands of healthcare service utilisation and can lead to CHE. The findings point to the need for multidisciplinary interventions for individuals with physical multimorbidity, ensuring their mental health needs are also addressed. Our results urge enhancing health insurance schemes for individuals with mental and physical multimorbidity.

Association of chronic conditions and physical multimorbidity with new-onset incontinence in a nationwide prospective cohort study of older adults ≥ 50years in China.

The relationship between multimorbidity (i.e. ≥ 2 chronic conditions) and incontinence (i.e. urinary and/or faecal incontinence) is underexplored. This study investigated the association between multimorbidity and incident incontinence in Chinese adults aged ≥50years. Data from the 2011 and 2015 waves of the China Health and Retirement Longitudinal Study were used. The association between 12 chronic conditions, multimorbidity and new-onset incontinence was analysed using weighted logistic regression models. Mediation analysis was conducted to explore the potential mediators (self-reported health, subjective memory, depressive symptoms, disability, cognitive function, handgrip strength, mobility limitations, medications and frailty status) between multimorbidity and incontinence. Among 9,986 individuals aged ≥50years who were continent at baseline, 5.3% (n = 521) were newly incontinent 4years later (incident cases). The risk of incident incontinence increased with physical multimorbidity (OR 2.04, 95% CI 1.62-2.57). Compared to no chronic condition, having 1, 2, 3 and ≥ 4 chronic conditions were associated with incident incontinence with OR (95% CI): 1.41 (1.01-1.97), 1.74 (1.24-2.44), 2.82 (1.93-4.12) and 3.99 (2.29-6.95), respectively. The association between multimorbidity and incontinence was mediated by self-reported health (41.2%), medications (26.6%), mobility limitations (20.9%), depressive symptoms (12.8%), disability (11.6%), subjective memory (8.7%) and frailty status (8.3%). This longitudinal study found that physical multimorbidity and specific chronic conditions may increase the risk of new-onset incontinence among Chinese adults aged ≥50years. Self-reported health, medications and mobility limitations seemed to be important intermediate conditions between multimorbidity and incident incontinence.

Childhood and adolescence physical activity and multimorbidity later in life: A systematic review

Background No systematic summary exists on childhood physical activity and later-life multimorbidity risks. We primarily investigated the association of physical activity in childhood and adolescence and the development of multimorbidity in adulthood. Secondarily, we examined whether physical activity level differ in children and adolescents with and without multimorbidity and whether there is a cross-sectional association between physical activity and multimorbidity. Methods Following Cochrane Handbook guidelines and adhering to PRISMA recommendations, we included cross-sectional, case-control and longitudinal studies that investigated the association between physical activity in children and adolescents and development of multimorbidity. Results were summarized narratively and we assessed the certainty of the evidence using the GRADE approach. The protocol was registered in PROSPERO, CRD42023407063. Results Of 9064 studies identified, 11 were included in 13 papers. Longitudinals studies suggested that being physically active in childhood and adolescence was associated with a lower risk of multimorbidity in adulthood. Three out of five studies reported lower physical activity level in children and adolescents with multimorbidity compared to those without, and two did not find a between-group difference. Cross-sectional evidence on the association between multimorbidity and lower physical activity was uncertain. Overall, the evidence certainty for all outcomes was considered low due to the indirectness and inconsistency in findings. Conclusions Childhood and adolescence physical activity appeared to be linked with a reduced risk of later-life multimorbidity but the certainty of the evidence is low. These results support the promotion of physical activity during childhood and adolescence.

The public health significance of prior homelessness: findings on multimorbidity and mental health from a nationally representative survey.

The associations of prior homelessness with current health are unknown. Using nationally representative data collected in private households in England, this study aimed to examine Common Mental Disorders (CMDs), physical health, alcohol/substance dependence, and multimorbidities in people who formerly experienced homelessness compared to people who never experienced homelessness. This cross-sectional study utilised data from the 2007 and 2014 Adult Psychiatric Morbidity Surveys. Former homelessness and current physical health problems were self-reported. Current CMDs, alcohol dependence and substance dependence were ascertained using structured validated scales. Survey-weighted logistic regression was used to compare multimorbidities (conditions in combination) for participants who formerly experienced homelessness with those who had never experienced homelessness, adjusting for sociodemographic characteristics, smoking status and adverse experiences. Population attributable fractions (PAFs) were calculated. Of 13,859 people in the sample, 535 formerly experienced homelessness (3.6%, 95% CI 3.2-4.0). 44.8% of people who formerly experienced homelessness had CMDs (95% CI 40.2-49.5), compared to 15.0% (95% CI 14.3-15.7) for those who had never experienced homelessness. There were substantial associations between prior homelessness and physical multimorbidity (adjusted odds ratio [aOR] 1.98, 95% CI 1.53-2.57), CMD-physical multimorbidity (aOR 3.43, 95% CI 2.77-4.25), CMD-alcohol/substance multimorbidity (aOR 3.53, 95% CI 2.49-5.01) and trimorbidity (CMD-alcohol/substance-physical multimorbidity) (aOR 3.26, 95% CI 2.20-4.83), in models adjusting for sociodemographic characteristics and smoking. After further adjustment for adverse experiences, associations attenuated but persisted for physical multimorbidity (aOR 1.40, 95% CI 1.10-1.79) and CMD-physical multimorbidity (aOR 1.55, 95% CI 1.20-2.00). The largest PAFs were observed for CMD-alcohol/substance multimorbidity (17%) and trimorbidity (16%). Even in people currently rehoused, marked inequities across multimorbidities remained evident, highlighting the need for longer-term integrated support for people who have previously experienced homelessness.

Integrated care models for older adults with depression and physical multimorbidity: a scoping review

Objective: Multimorbidity, the coexistence of multiple chronic conditions occurring in one person at the same time, where one is not a known complication of the other, is a growing challenge in the care for older people with mental illness. In order to address both physical and mental illnesses in older people, integrated care management is required. The purpose of this scoping review was to provide a comprehensive overview of integrated care models for older adults (60+) with depression and physical multimorbidity. We identified the core components of the examined integrated care models and mapped the reported outcomes and implementation strategies.&#x0D; Methods and analysis: We followed the methodology of Arksey and O’Malley’s. MEDLINE, EMBASE, CINAHL and Cochrane Library were searched independently by two reviewers from inception to May 2022. Studies composed in English or Dutch concerning integrated care interventions for older adults with major depression and physical multimorbidity were included. We used the micro-level SELFIE framework to map the core concepts of integrated care models. Outcomes were divided in person-centered and service themes.&#x0D; Results: After title and abstract and subsequent full-text screening, 38 studies were included describing 13 different care models. The majority (n=21) were randomized controlled trials, followed by observational studies (n=6), study protocols (n=5), qualitative studies (n=4), and feasibility studies (n=2). Studies were conducted in the North-America (n=28), Europe (n=6), Asia (n=3) and Australia (n=1). In all care models, a multidisciplinary team with a care coordinator was involved. Also treatment interaction, continuity of care, individualized care planning, tailored holistic assessment and self-management support were elements of all care models. Informal care giver involvement and shared decision making were less often described as core elements. Discrepancy was detected in the information systems and technology that different care models used. Only seven care models reported on financial aspects of the intervention, e.g. the reimbursement on participation or the provision of financial incentives.&#x0D; A total of 32 different outcomes were evaluated in the primary studies. Patient outcomes, e.g. functional status and depression symptoms, are well described by all care models. In contrast, little attention is paid to service outcomes such as emergency department visits or therapy attendance. Only two studies briefly described the implementation strategies used in the study.&#x0D; Conclusion: The core elements that comprise integrated care models are diverse. Future studies should focus more on implementation aspects of the intervention and describe financial parts, e.g. the cost of the intervention for the healthcare user, more transparently.&#x0D; Key words: Collaborative care, integrated care, psychosomatic medicine, geriatric psychiatry, care models