Associations between physical diseases and subsequent mental disorders: a longitudinal study in a population-based cohort.

People with physical diseases are reported to be at elevated risk of subsequent mental disorders. However, previous studies have considered only a few pairs of conditions, or have reported only relative risks. This study aimed to systematically explore the associations between physical diseases and subsequent mental disorders. It examined a population-based cohort of 7,673,978 people living in Denmark between 2000 and 2021, and followed them for a total of 119.3 million person-years. The study assessed nine broad categories of physical diseases (cardiovascular, endocrine, respiratory, gastrointestinal, urogenital, musculoskeletal, hematological and neurological diseases, and cancers), encompassing 31 specific diseases, and the subsequent risk of mental disorder diagnoses, encompassing the ten ICD-10 groupings (organic, including symptomatic, mental disorders; mental disorders due to psychoactive substance use; schizophrenia and related disorders; mood disorders; neurotic, stress-related and somatoform disorders; eating disorders; personality disorders; intellectual disabilities; pervasive developmental disorders; and behavioral and emotional disorders with onset usually occurring in childhood and adolescence). Using Poisson regression, the overall and time-dependent incidence rate ratios (IRRs) for pairs of physical diseases and mental disorders were calculated, adjusting for age, sex and calendar time. Absolute risks were estimated with the Aalen-Johansen estimator. In total, 646,171 people (8.4%) were identified as having any mental disorder during follow-up. All physical diseases except cancers were associated with an elevated risk of any mental disorder. For the nine broad pairs of physical diseases and mental disorders, the median point estimate of IRR was 1.51 (range: 0.99-1.84; interquartile range: 1.29-1.59). The IRRs ranged from 0.99 (95% CI: 0.98-1.01) after cancers to 1.84 (95% CI: 1.83-1.85) after musculoskeletal diseases. Risks varied over time after the diagnosis of physical diseases. The cumulative mental disorder incidence within 15 years after diagnosis of a physical disease varied from 3.73% (95% CI: 3.67-3.80) for cancers to 10.19% (95% CI: 10.13-10.25) for respiratory diseases. These data document that most physical diseases are associated with an elevated risk of subsequent mental disorders. Clinicians treating physical diseases should constantly be alert to the possible development of secondary mental disorders.

Sensor-based systems for the measurement of Functional Reach Test results: a systematic review.

The measurement of Functional Reach Test (FRT) is a widely used assessment tool in various fields, including physical therapy, rehabilitation, and geriatrics. This test evaluates a person's balance, mobility, and functional ability to reach forward while maintaining stability. Recently, there has been a growing interest in utilizing sensor-based systems to objectively and accurately measure FRT results. This systematic review was performed in various scientific databases or publishers, including PubMed Central, IEEE Explore, Elsevier, Springer, the Multidisciplinary Digital Publishing Institute (MDPI), and the Association for Computing Machinery (ACM), and considered studies published between January 2017 and October 2022, related to methods for the automation of the measurement of the Functional Reach Test variables and results with sensors. Camera-based devices and motion-based sensors are used for Functional Reach Tests, with statistical models extracting meaningful information. Sensor-based systems offer several advantages over traditional manual measurement techniques, as they can provide objective and precise measurements of the reach distance, quantify postural sway, and capture additional parameters related to the movement.

Comorbidity between major depressive disorder and physical diseases: a comprehensive review of epidemiology, mechanisms and management.

Populations with common physical diseases - such as cardiovascular diseases, cancer and neurodegenerative disorders - experience substantially higher rates of major depressive disorder (MDD) than the general population. On the other hand, people living with MDD have a greater risk for many physical diseases. This high level of comorbidity is associated with worse outcomes, reduced adherence to treatment, increased mortality, and greater health care utilization and costs. Comorbidity can also result in a range of clinical challenges, such as a more complicated therapeutic alliance, issues pertaining to adaptive health behaviors, drug-drug interactions and adverse events induced by medications used for physical and mental disorders. Potential explanations for the high prevalence of the above comorbidity involve shared genetic and biological pathways. These latter include inflammation, the gut microbiome, mitochondrial function and energy metabolism, hypothalamic-pituitary-adrenal axis dysregulation, and brain structure and function. Furthermore, MDD and physical diseases have in common several antecedents related to social factors (e.g., socioeconomic status), lifestyle variables (e.g., physical activity, diet, sleep), and stressful live events (e.g., childhood trauma). Pharmacotherapies and psychotherapies are effective treatments for comorbid MDD, and the introduction of lifestyle interventions as well as collaborative care models and digital technologies provide promising strategies for improving management. This paper aims to provide a detailed overview of the epidemiology of the comorbidity of MDD and specific physical diseases, including prevalence and bidirectional risk; of shared biological pathways potentially implicated in the pathogenesis of MDD and common physical diseases; of socio-environmental factors that serve as both shared risk and protective factors; and of management of MDD and physical diseases, including prevention and treatment. We conclude with future directions and emerging research related to optimal care of people with comorbid MDD and physical diseases.

Impact of mental disorders on clinical outcomes of physical diseases: an umbrella review assessing population attributable fraction and generalized impact fraction.

Empirical evidence indicates a significant bidirectional association between mental disorders and physical diseases, but the prospective impact of men-tal disorders on clinical outcomes of physical diseases has not been comprehensively outlined. In this PRISMA- and COSMOS-E-compliant umbrella review, we searched PubMed, PsycINFO, Embase, and Joanna Briggs Institute Database of Systematic Reviews and Implementation Reports, up to March 15, 2022, to identify systematic reviews with meta-analysis that examined the prospective association between any mental disorder and clinical outcomes of physical diseases. Primary outcomes were disease-specific mortality and all-cause mortality. Secondary outcomes were disease-specific incidence, functioning and/or disability, symptom severity, quality of life, recurrence or progression, major cardiac events, and treatment-related outcomes. Additional inclusion criteria were further applied to primary studies. Random effect models were employed, along with I2 statistic, 95% prediction intervals, small-study effects test, excess significance bias test, and risk of bias (ROBIS) assessment. Associations were classified into five credibility classes of evidence (I to IV and non-significant) according to established criteria, complemented by sensitivity and subgroup analyses to examine the robustness of the main analysis. Statistical analysis was performed using a new package for conducting umbrella reviews (https://metaumbrella.org). Population attributable fraction (PAF) and generalized impact fraction (GIF) were then calculated for class I-III associations. Forty-seven systematic reviews with meta-analysis, encompassing 251 non-overlapping primary studies and reporting 74 associations, were included (68% were at low risk of bias at the ROBIS assessment). Altogether, 43 primary outcomes (disease-specific mortality: n=17; all-cause mortality: n=26) and 31 secondary outcomes were investigated. Although 72% of associations were statistically significant (p<0.05), only two showed convincing (class I) evidence: that between depressive disorders and all-cause mortality in patients with heart failure (hazard ratio, HR=1.44, 95% CI: 1.26-1.65), and that between schizophrenia and cardiovascular mortality in patients with cardiovascular diseases (risk ratio, RR=1.54, 95% CI: 1.36-1.75). Six associations showed highly suggestive (class II) evidence: those between depressive disorders and all-cause mortality in patients with diabetes mellitus (HR=2.84, 95% CI: 2.00-4.03) and with kidney failure (HR=1.41, 95% CI: 1.31-1.51); that between depressive disorders and major cardiac events in patients with myocardial infarction (odds ratio, OR=1.52, 95% CI: 1.36-1.70); that between depressive disorders and dementia in patients with diabetes mellitus (HR=2.11, 95% CI: 1.77-2.52); that between alcohol use disorder and decompensated liver cirrhosis in patients with hepatitis C (RR=3.15, 95% CI: 2.87-3.46); and that between schizophrenia and cancer mortality in patients with cancer (standardized mean ratio, SMR=1.74, 95% CI: 1.41-2.15). Sensitivity/subgroup analyses confirmed these results. The largest PAFs were 30.56% (95% CI: 27.67-33.49) for alcohol use disorder and decompensated liver cirrhosis in patients with hepatitis C, 26.81% (95% CI: 16.61-37.67) for depressive disorders and all-cause mortality in patients with diabetes mellitus, 13.68% (95% CI: 9.87-17.58) for depressive disorders and major cardiac events in patients with myocardial infarction, 11.99% (95% CI: 8.29-15.84) for schizophrenia and cardiovascular mortality in patients with cardiovascular diseases, and 11.59% (95% CI: 9.09-14.14) for depressive disorders and all-cause mortality in patients with kidney failure. The GIFs confirmed the preventive capacity of these associations. This umbrella review demonstrates that mental disorders increase the risk of a poor clinical outcome in several physical diseases. Prevention targeting mental disorders - particularly alcohol use disorders, depressive disorders, and schizophrenia - can reduce the incidence of adverse clinical outcomes in people with physical diseases. These findings can inform clinical practice and trans-speciality preventive approaches cutting across psychiatric and somatic medicine.

Medical conditions and depressive symptoms: A study of kinship profiles in dementia caregivers.

OBJECTIVE: To analyze the association between diverse medical conditions and depressive symptoms in different profiles of dementia caregivers based on sex and kinship (wives, husbands, daughters, and sons). METHODS: Individual interviews were conducted with 338 dementia family caregivers. Depressive symptoms were measured with the Spanish version of the Center for Epidemiologic Studies-Depression Scale. Medical conditions encompassed the following physical diseases: high cholesterol, osteoarthritis, hypertension, diabetes, cancer, and cardiovascular, brain, kidney, liver, and stomach diseases.Logistic regression analyses were carried out to identify determinants associated to thepresenceof depressive symptoms. RESULTS: High cholesterol was the most frequent disease among caregivers.Significant differences among groups were found in depressive symptoms: between wives (50.60%) and husbands (28.40%),(p = 0.033), and between daughters (57.00%) and husbands (p = 0.001). Half of the sonsreported thepresenceof depressive symptoms. In daughters, depressive symptomatology was significantly more likely whether they presented a worse reaction to disruptive behaviors, a poor assessment of global deterioration of care recipient, and less perceived health status. Furthermore, daughters were 1.94 times more likely to experience depressive symptoms if they presented medical conditions (p = 0.017). CONCLUSIONS: Daughter caregivers that have depressive and physical diseases may be an especially vulnerable subgroup of caregivers that may not be the ideal population to provide care. Access to high-quality, evidence-based therapies focused on improving caregivers' physical health could have a positiveeffecton thepresenceof depressive symptoms, particularly in the case of daughter caregivers.

Physical health status in first-degree relatives of patients with bipolar disorder, a systematic review.

OBJECTIVE: This systematic literature search aimed to investigate the physical health status of first-degree relatives to patients with bipolar disorder. There is abundant evidence for familial aggregation of both bipolar disorders, cardiovascular and autoimmune diseases. However, a review gathering data on the physical health status in first-degree relatives to patients with bipolar disorder is missing. We hypothesized that first-degree relatives of bipolar probands would express higher rates of physical diseases and somatic morbidity. METHOD: We conducted a systematic literature search in three different databases PubMed, Embase and PsychInfo. The search identified 10 studies comparing 24,277 unaffected first-degree relatives with 318.933 controls persons. RESULTS: Seven out of 10 studies showed that first-degree relatives had statistically significantly higher rates of one or more physical diseases or increased morbidity, including cardiovascular diseases, infections, autoimmune thyroiditis, pernicious anaemia, and higher mortality compared with control persons. CONCLUSION: Findings from this systematic literature review did not unambiguously confirm a possible link between bipolar disorder and overall increased risk of physical diseases in first-degree relatives of probands with bipolar disorder. However, these results could suggest that first-degree relatives of probands with bipolar disorder could have a predisposition to poorer physical health than the general population and that this aspect warrants further investigation.

Physical diseases and elderly suicide in rural China: A case-control psychological autopsy study.

OBJECTIVES: Physical diseases are well-established risk factor for suicide, particularly among older adults. However, little is known about the underlying mechanism of the association. This study aimed to describe the prevalence of physical diseases and their influences on the elderly in rural China and to examine the underlying mechanisms of the relationship between physical diseases and suicide. METHODS: This matched case-control psychological autopsy study was conducted from June 2014 to September 2015. Consecutive suicide cases (242) among people aged 60 years or above were identified in three Chinese provinces. The suicide cases were 1:1 matched with living comparisons based on age, gender and residential area. Two informants for each participant were interviewed to collect data on their demographic characteristics, the severity index of physical diseases, depressive symptoms, feelings of hopelessness, mental disorders and social support. RESULTS: A significant difference was found between suicide cases and living comparisons regarding the prevalence of physical diseases (83.5% vs 66.5%, p < 0.001) and their severity (11.3 ± 6.2 vs 6.7 ± 5.3, p < 0.001). Independent risks of suicide included the following: not currently married (OR = 2.81, 95% CI = [1.04, 7.62]), mental disorders (OR = 7.18, 95% CI = [1.83, 28.13]), depressive symptoms (OR = 1.15, 95% CI = [1.05, 1.26]) and feelings of hopelessness (OR = 1.51, 95% CI = [1.20, 1.90]). The structural equation model indicated that the relationship between the severity index of physical diseases and suicide was mediated by depressive symptoms, feelings of hopelessness and mental disorders. CONCLUSION: The severity and number of physical diseases were found to be correlated with suicide among the elderly in rural China, after controlling for demographic characteristics. Physical diseases elevate one's suicide risk by increasing depressive symptoms, feelings of hopelessness and mental disorders. Efforts for suicide prevention should be integrated with strategies to treat physical diseases along with psychological interventions.

Anxiety and Depression in Patients With Physical Diseases and Associated Factors: A Large-Scale Field Survey in General Hospitals in China.

Introduction: To investigate the characteristic of anxiety and depression among patients in general hospitals, and explore the degree of the clinical symptoms and correlated social economic factors. Methods: This is a cross-sectional survey of anxiety and depression in patients with physical diseases, who were suspected of depression and anxiety based on their clinical performance by their physicians and PHQ ≧ 8, from various clinical departments of 57 general hospitals in China. Data regarding demographic characteristics and clinical characteristics were collected. Social and psychological factors and the severity of anxiety or depression were collected through self-rating scales. Finally, we used multivariate logistic regression to identify the factors associated with anxiety and depression in patients with physical diseases. Results: A total of 2,105 (84.6%) valid and completed questionnaires were returned. The proportion of anxiety, depression, combined depression and anxiety, either anxiety or depression among the patients with physical diseases from all clinical departments was 63.3, 75.1, 57.1, and 81.2% respectively. Further regression analysis indicated that gender, monthly income, specific physical diseases, personality traits, social supports and life negative events were related factors of both anxiety and depression. Conclusions: Anxiety and depression were common in patients with physical diseases, with a high proportion of co-morbidity of anxiety and depression. Females, patients with cancer, poor social support and negative life events reported more severe anxiety and depression. The results may help to understand the present situation of anxiety and depression in general hospitals in china, and identify the patients with high risk of depression and anxiety.

A nation-wide population-based longitudinal study on life expectancy and cause specific mortality in patients with bipolar disorder and their siblings.

OBJECTIVE: Mortality is increased in bipolar disorder due to both suicide and death by physical disorders, but it has never been investigated whether these mortalities translate into relatives to patients with bipolar disorder. The aim was to present the life expectancy and the overall mortality and mortality due to suicide and physical disorders among patients with bipolar disorder and their unaffected full siblings, respectively, compared with control individuals from the general population. METHODS: We used Danish nation-wide population-based longitudinal register linkage to identify 19.955 patients with bipolar disorder, their 13.923 siblings and 20 sex, age and calendar matched control individuals from the general population. Follow-up was from 1995 to 2017. RESULTS: Bipolar disorder was associated with a decreased life expectancy of 7.7 (95% CI: 7.4-8.1) years and increased mortality overall (hazard ratio (HR): 2.11 (95% CI: 2.04-2.18)) and due to suicide (HR: 18.23 (95% CI: 15.81-21.02) and physical disorders (HR: 2.01 (95% CI: 1.94-2.08). In contrast, siblings to patients with bipolar disorder who were unaffected by bipolar disorder did not have decreased life expectancy (0.45 (95% CI: -6.62-2.46)) or increased mortality overall (HR: 1.00 (95% CI: 0.88-1.14) or due to suicide (HR: 1.50 (95% CI: 0.95-2.36) or physical disorders (HR: 0.99 (95% CI: 0.87-1.34). CONCLUSIONS: Increased mortality in bipolar disorder is mainly due to the impact of bipolar psychopathology and to a lesser degree to familial transmitted factors, highlighting the urgent need for preventive intervention studies in relation to suicide and physical disorders following onset of bipolar disorder.