Interaction between mental disorders and social disconnectedness on mortality: a population-based cohort study.

BACKGROUND: Despite the recognised importance of mental disorders and social disconnectedness for mortality, few studies have examined their co-occurrence. AIMS: To examine the interaction between mental disorders and three distinct aspects of social disconnectedness on mortality, while taking into account sex, age and characteristics of the mental disorder. METHOD: This cohort study included participants from the Danish National Health Survey in 2013 and 2017 who were followed until 2021. Survey data on social disconnectedness (loneliness, social isolation and low social support) were linked with register data on hospital-diagnosed mental disorders and mortality. Poisson regression was applied to estimate independent and joint associations with mortality, interaction contrasts and attributable proportions. RESULTS: A total of 162 497 individuals were followed for 886 614 person-years, and 9047 individuals (5.6%) died during follow-up. Among men, interaction between mental disorders and loneliness, social isolation and low social support, respectively, accounted for 47% (95% CI: 21-74%), 24% (95% CI: -15 to 63%) and 61% (95% CI: 35-86%) of the excess mortality after adjustment for demographics, country of birth, somatic morbidity, educational level, income and wealth. In contrast, among women, no excess mortality could be attributed to interaction. No clear trends were identified according to age or characteristics of the mental disorder. CONCLUSIONS: Mortality among men, but not women, with a co-occurring mental disorder and social disconnectedness was substantially elevated compared with what was expected. Awareness of elevated mortality rates among socially disconnected men with mental disorders could be of importance to qualify and guide prevention efforts in psychiatric services.

Guidelines for evaluating and reporting social isolation and loneliness interventions.

Given the unpleasant nature of social isolation and loneliness (SIL) and their negative effects on health and wellbeing, interventions are needed. However, persistent issues in the design, evaluation, and reporting of SIL interventions preclude conclusive evidence and commentary on the effectiveness of SIL interventions. Here, we propose guidelines for evaluating SIL interventions, firstly by operationalising them into two categories: (1) interventions aiming to reduce SIL as a primary outcome and (2) interventions aiming to improve non-SIL outcomes in the lives of individuals experiencing SIL. Secondly, we evaluate instruments for measuring SIL and research designs for studying intervention effectiveness. Thirdly, guidelines for reporting information about the intervention, study design, results, and discussion in SIL intervention studies are presented. These guidelines will help researchers to better and more consistently report on SIL interventions and improve comparability of SIL interventions, ultimately contributing to the improvement of interventions and to the mitigation of SIL.

Social Disconnectedness in Individuals with Cardiovascular Disease: Associations with Health Literacy and Treatment Burden.

BACKGROUND: Knowledge is limited on associations between social disconnectedness (i.e. loneliness and social isolation), health literacy and perceived treatment burden in individuals with cardiovascular disease (CVD). However, understanding these associations may be important for clinical practice. METHODS: This study used cross-sectional self-reported data from the 2017 Danish health and morbidity survey entitled 'How are you?', investigating the associations of loneliness and social isolation with low health literacy and high treatment burden in individuals with CVD (n = 2521; mean age = 65.7 years). RESULTS: Logistic regression analysis showed that loneliness and social isolation were associated with low health literacy in terms of difficulties in 'understanding health information' (loneliness: adjusted odds ratio (AOR) = 1.32, 95% confidence intervals (CI) [1.16, 1.50]; social isolation: AOR = 1.47, 95% CI [1.24, 1.73]) and 'engaging with healthcare providers' (loneliness: AOR = 1.53, 95% CI [1.37, 1.70]; social isolation: AOR = 1.21, 95% CI [1.06, 1.40]) and associated with high treatment burden (loneliness: AOR = 1.49, 95% CI [1.35, 1.65]; social isolation: AOR = 1.20, 95% CI [1.06, 1.37]). CONCLUSIONS: Our findings show that loneliness and social isolation coexisted with low health literacy and high treatment burden in individuals with CVD. These findings are critical as socially disconnected individuals experience more health issues. Low health literacy and a high treatment burden may potentially exacerbate these issues.

Elevated risk of developing type 2 diabetes in people with a psychiatric disorder: What is the role of health behaviors and psychotropic medication?

AIMS: Several psychiatric disorders are linked with an increased risk of developing type 2 diabetes (T2D), but the mediating mechanisms are unclear. We aimed to investigate health behaviors, obesity, psychotropic medication use, and comorbidity as potential mediating mechanisms explaining these associations. METHODS: We combined data from a large population-based survey with register-based data and followed a sample of 250,013 Danes (≥16 years) for up to 8.9 years. We conducted mediation analyses investigating 10 potential mediators of the associations between psychiatric disorders and incident T2D. RESULTS: Individuals with a substance use disorder, schizophrenia, mood disorder, neurotic disorder, eating disorder, or a personality disorder had a significantly higher risk of developing T2D. Organic disorders, intellectual disabilities, developmental and behavioral disorders were not associated with T2D-risk. For all psychiatric disorders significantly associated with T2D, the use of antidepressant medication had the largest proportional mediating effect on the association (13-32 %). CONCLUSIONS: Use of antidepressant medication had the largest contribution to the associations between psychiatric disorders and incident T2D. Future epidemiological studies and prevention studies should focus on optimizing the use of antidepressant medication with minimal side effects, and the promotion of health behaviors in individuals with a psychiatric disorder to prevent T2D.

Reducing loneliness in the community. More Together ('Flere i Fællesskaber')-a complex intervention in Denmark.

The mounting evidence that loneliness is a determinant of poor health and well-being underpins the need for effective interventions and community action. 'More Together' (MoTo) is a large-scale, complex, multi-component and multi-level intervention for community change that addresses loneliness among young people and older adults in Silkeborg Municipality, Denmark. The intervention is inspired by the Collective Impact framework, and it is practice driven and rooted in an extensive cross-sector partnership. This article outlines (i) the organization of the cross-sector partnership, (ii) the structure of the intervention programme, (iii) the key components and activities of the programme and, finally, (iv) the intervention setting and target population. MoTo aims to create new ways to develop, implement and evaluate loneliness interventions. Experiences gained from MoTo hold the potential to transform our understanding of loneliness interventions and may inform and guide future interventions.

Estimating the causal effects of work-related and non-work-related stressors on perceived stress level: A fixed effects approach using population-based panel data.

OBJECTIVES: Prolonged or excessive stress can have a negative impact on health and well-being, and stress therefore constitutes a major public health issue. A central question is what are the main sources of stress in contemporary societies? This study examines the effects of work-related and non-work-related stressors and perceived social support on perceived stress within a causal framework. METHODS: Panel data were drawn from two waves (2013 and 2017) of the population-based health survey "How are you?" conducted in the Central Denmark Region. The analytical sample comprised 9,194 subjects who had responded to both surveys. Work-related and non-work-related stressors included major life events, chronic stressors, daily hassles and lack of social support. Perceived stress was measured with the 10-item Perceived Stress Scale (PSS). Data were analysed using fixed effects regression in a fully balanced design. RESULTS: The largest effects on PSS were seen in own disease, work situation and lack of social support. Other stressors affecting the perceived stress level were financial circumstances, relationship with partner, relationship with family and friends, and disease among close relatives. Most variables had a symmetrical effect on PSS. CONCLUSIONS: The results point to the need for comprehensive policies to promote mental health that span life domains and include both the individual and the group as well as organizational and societal levels. The study indicates that there are multiple potential entry points for stress prevention and stress management. However, it also shows that disease, work situation and social support weigh heavily in the overall picture. This points to the healthcare system and workplace as key institutional venues for action.

PROTOCOL: In-person interventions to reduce social isolation and loneliness: An evidence and gap map.

This is the protocol for an evidence and gap map. The objectives are as follows: This EGM aims to map available evidence on the effects of in-person interventions to reduce social isolation and/or loneliness across all age groups in all settings.

Agreement between survey- and register-based measures of depression in Denmark.

BACKGROUND: Register-based studies of major depressive disorder (MDD) do not capture all prevalent cases, as untreated cases and diagnoses made by general practitioners are not recorded in the registers. We examined the prevalence and agreement of survey- and register-based measures of depression, and explored sociodemographic and health-related factors that may have influenced this agreement. METHODS: All 32,407 participants in the 2017 Central Denmark Region How are you? survey were linked to hospital and prescription records. A checklist for depressive symptoms within the last 14 days (Major Depression Inventory; MDI) from the survey was compared with register-based assessment of hospital-diagnosed MDD and/or prescriptions for antidepressants. We estimated agreement between survey-based and register-based measures for depression and used logistic regression models to explore selected associated factors. RESULTS: In total, 5.9% of How are you? survey participants screened positive for current depression on the MDI. Of these, 51.3% (95% confidence interval (CI): 49.0-53.6) filled a prescription for an antidepressant medication during the 10 years prior or 2 years following the administration of the survey, and 14.5% (95% CI: 12.9-16.2) were treated for MDD in a psychiatric hospital-based setting. When using a higher threshold of the MDI indicating more severe current depression, 22.8% (95% CI: 19.6-26.1) of those who screened positive also received an MDD diagnosis and 63.4% (95% CI: 59.7-67.2) were prescribed antidepressants during this 12-year period. Among those with current depression, female sex, older age, chronic diseases, hospital-treated self-harm, and being permanently outside the workforce were associated with having a register-based MDD diagnosis or antidepressant prescription. Among those with a register-based depression record, female sex, younger age, hospital-treated self-harm, stress, and severe loneliness were associated with current depression. CONCLUSION: We found that as few as 15% of individuals with current depression in the general Danish population were captured by the psychiatric hospital register, while 51% of these individuals were identifiable in the prescription register. These findings demonstrate that register-based measures significantly underestimate the true prevalence of depression by identifying only the cases that are most severe.

Loneliness, social isolation, and healthcare utilization in the general population.

OBJECTIVES: Due to increasing pressure on healthcare resources, knowledge of factors that affect healthcare utilization (HCU) is important. However, the evidence of a longitudinal association between loneliness and social isolation respectively, and HCU is limited. The present prospective cohort study investigated the association of loneliness and social isolation with HCU in the general population over time. METHOD: Data from the 2013 Danish "How are you?" survey (n = 27.501) were combined with individual-level register data with almost complete follow-up over a 6-year follow-up period (2013-2018). Negative binomial regression analyses were performed while adjusting for baseline demographics and preexisting chronic disease. RESULTS: Loneliness measured was significantly associated with more general practice contacts (incident rate ratio [IRR] = 1.03, 95% confidence interval [CI] [1.02, 1.04]), more emergency treatments (IRR = 1.06, [1.03, 1.10]), more emergency admissions (IRR = 1.06, [1.03, 1.10]), and hospital admission days (IRR = 1.05, [1.00, 1.11]) across the 6-year follow-up period. No significant associations were found between social isolation and HCU with one minor exception, in which social isolation was associated with fewer planned outpatient treatments (IRR = 0.97, [0.94, 0.99]). Wald test demonstrated that the association of loneliness with emergency admissions and hospital admissions days was not significantly different from the effects of social isolation on those outcomes. CONCLUSIONS: Our findings suggest that loneliness slightly increased the number of general practice contacts and emergency room treatments. Overall, the effects of loneliness and social isolation on HCU were small. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

The longitudinal relation between loneliness and perceived stress: A structural equation modelling analysis of 10,159 individuals.

AIMS: Prolonged loneliness and severe stress are increasingly recognised as public health concerns and considered risk factors for mental disorders, somatic illnesses and mortality. Loneliness and perceived stress also often co-occur; however, their longitudinal relation remains unclear. To the best of our knowledge, this is the first study aiming to investigate the longitudinal relation between loneliness and perceived stress independently of cross-sectional associations and time effects. METHODS: Designed as a population-based cohort study with repeated measurements, the present study included individuals aged 16-80 years at baseline who participated in the Danish National Health Survey ('How are you?') in 2013 and 2017 (N = 10,159; response rate = 50%). Structural equation modelling was used to examine associations between loneliness and perceived stress in the total sample and across age groups (i.e., 16-29, 30-64 and 65-80 years). RESULTS: The models indicated bidirectional relations between loneliness and perceived stress. The standardized cross-lagged path from loneliness to perceived stress (ß: 0.12, 95% confidence interval (CI) (0.08, 0.16), p < 0.001) and from perceived stress to loneliness (ß: 0.12, 95% CI (0.07, 0.16), p < 0.001) both corresponded to small effect sizes in the total sample. Additionally, the results indicated strong cross-sectional associations, especially among adolescents and young adults (16-29 years), and high temporal stability, especially among the elderly (65-80 years). CONCLUSIONS: Loneliness and perceived stress mutually predict each other over time. The finding of both substantial bidirectional and cross-sectional associations demonstrates an interdependence between loneliness and perceived stress that may be relevant to consider in future interventions.

Danish validation of the Multimorbidity Treatment Burden Questionnaire (MTBQ) and findings from a population health survey: a mixed-methods study.

OBJECTIVE: To validate the Danish Multimorbidity Treatment Burden Questionnaire (MTBQ) and obtain a population-based evaluation of treatment burden. DESIGN: Mixed-methods. SETTING: Danish population-based survey. PARTICIPANTS: Translation by professional translators and an expert group. The scale was tested by 13 407 participants (aged ≥25 years) in treatment. MEASURES: The 10-item MTBQ was translated into Danish using forward-backward translation and used in a large population health survey. A global MTBQ score was calculated and factor analysis and Cronbach's alpha assessed dimensional structure and internal consistency reliability, respectively. Spearman's rank correlations between global MTBQ scores and scores of self-rated health, health-related quality of life and the number of long-term conditions, respectively, assessed construct validity. MTBQ scores were grouped into four categories (no, low, medium, high burden) to assess interpretability and population-based evaluation of treatment burden. RESULTS: The scale showed high internal consistency (α=0.87), positive skewness and large floor effects. Factor analysis supported a one-dimensional structure of the scale with a three-dimensional structure as a less parsimonious alternative. The MTBQ score was negatively associated with self-rated health (rS-0.45, p<0.0001) and health-related quality of life (rS-0.46/-0.51, p<0.0001), and positively associated with the number of long-term conditions (rS 0.26, p<0.0001) and perceived stress (rS 0.44, p<0.0001). Higher treatment burden was associated with young age, male sex, high educational level, unemployment, being permanently out of work, not living with a spouse/cohabitant, living with child(ren) and long-term conditions (eg, heart attack, stroke, diabetes and mental illness). CONCLUSION: The Danish MTBQ is a valid measure of treatment burden with good construct validity and high internal reliability. This is the first study to explore treatment burden at a population level and provides important evidence to policy makers and clinicians about sociodemographic groups at risk of higher treatment burden.

Risk of Developing Type 2 Diabetes in Individuals With a Psychiatric Disorder: A Nationwide Register-Based Cohort Study.

OBJECTIVE: Previous studies have investigated the incidence of type 2 diabetes in individuals with psychiatric disorders, but most studies have focused on a specific psychiatric disorder or a selected sample. More population-based studies are needed to determine these associations in representative samples. We therefore aimed to determine these associations in a nationwide, register-based dynamic cohort study. RESEARCH DESIGN AND METHODS: We analyzed data from 5,005,612 adults living in Denmark between 1995 and 2018, without prior diabetes. We investigated 10 different categories of psychiatric disorders and a composite group with any psychiatric disorder. Individuals with a psychiatric disorder were compared with individuals without using multivariable-adjusted Poisson regression to estimate incidence rate ratios (IRR) of type 2 diabetes. We modeled age-specific incidence rates (IR) for individuals with and without the specific psychiatric disorder. All models were stratified by sex. RESULTS: In total, 334,739 individuals developed type 2 diabetes during follow-up. For all investigated categories of psychiatric disorders, we found increased IR of type 2 diabetes for individuals with versus those without a psychiatric disorder (IRR: men, 1.47 [95% CI 1.45-1.50]; women, 1.65 [95% CI 1.62-1.68]). When we examined age-specific IR, the largest differences were found in the younger population (<50 years). CONCLUSIONS: We found that the IR of type 2 diabetes was higher in individuals with a psychiatric disorder compared with individuals without a psychiatric disorder and particularly high in the younger people with a psychiatric disorder. New studies into the prevention and early detection of type 2 diabetes in these groups are warranted.

Prevalence of type 2 diabetes in psychiatric disorders: an umbrella review with meta-analysis of 245 observational studies from 32 systematic reviews.

AIMS/HYPOTHESIS: Estimates of the global prevalence of type 2 diabetes vary between 6% and 9%. The prevalence of type 2 diabetes has been investigated in psychiatric populations but a critical appraisal of the existing evidence is lacking, and an overview is needed. This umbrella review summarises existing systematic reviews of observational studies investigating the prevalence of type 2 diabetes in people with a psychiatric disorder. METHODS: We searched PubMed, EMBASE, PsycINFO and the Cochrane Database of Systematic Reviews from inception to 17 January 2021 and screened reference lists of included systematic reviews. On the basis of prespecified criteria, we included systematic reviews investigating the prevalence of type 2 diabetes in adults (aged ≥18 years) with a psychiatric disorder. Titles and abstracts of 5155 identified records and full texts of 431 selected studies were screened by two independent reviewers, based on predefined eligibility criteria and an a priori developed extraction form, following the PRISMA and MOOSE guidelines. Risk of bias was assessed with the ROBIS instrument. Data extracted from primary studies were synthesised using random-effects meta-analyses. RESULTS: A total of 32 systematic reviews with 245 unique primary studies were identified and met inclusion criteria. Twelve had low risk of bias. They reported type 2 diabetes prevalence estimates ranging from 5% to 22% depending on the specific psychiatric disorder. We meta-analysed data for ten categories of psychiatric disorders and found the following prevalence estimates of type 2 diabetes: in people with a sleep disorder: 40%; binge eating disorder: 21%; substance use disorder: 16%; anxiety disorder: 14%; bipolar disorder: 11%; psychosis: 11%; schizophrenia: 10%; a mixed group of psychiatric disorders: 10%; depression: 9%; and in people with an intellectual disability 8%. All meta-analyses revealed high levels of heterogeneity. CONCLUSIONS/INTERPRETATION: Type 2 diabetes is a common comorbidity in people with a psychiatric disorder. Future research should investigate whether routine screening for type 2 diabetes and subsequent prevention initiatives for these people are warranted. PROSPERO registration no. CRD42020159870.

Representativeness of survey participants in relation to mental disorders: a linkage between national registers and a population-representative survey.

Introduction: Surveys and registers have provided important insights into the mental health of the community. However, both sources have strengths and limitations. While participation in surveys has been shown to be lower among those with mental disorders, misclassification and limited information on confounders are typical issues for registers. Objectives: To examine if participants of the Central Denmark Region's 2017 How are you? survey were representative of the general population in terms of mental disorder diagnoses. Methods: By linking data from the Central Denmark Region's 2017 How are you? survey with the Danish national registers, we compared the frequency of mental disorder diagnoses among (a) participants in the survey (n = 32,417), before and after applying non-response weights, and (b) the entire population who were eligible to participate (n = 1,063,082; 16 years of age or older on 10th January 2017 and registered as living in the Central Denmark Region). Using logistic regression models, we estimated associations between being diagnosed with any mental disorder and nine general medical conditions to assess whether selection into the survey appeared to bias these associations. Results: Based on register data, 10.4% (n = 110,492) of the eligible population had received a diagnosis of any mental disorder prior to the date of this survey. Among the unweighted survey sample, 8.2% (n = 2,648) had received a diagnosis; once non-response weights were applied, this corresponded to 9.5%. Representativeness varied by sex, age and type of mental disorder. For example, people with organic disorders or substance use disorders were generally underrepresented among survey participants of all ages; however, representativeness of common disorders such as mood or neurotic disorders was generally good. With respect to the association of any mental disorder and general medical conditions, we found that estimates were similar for survey samples (both weighted and unweighted) compared to the entire eligible population. Conclusions: People with a previous diagnosis of a mental disorder are slightly underrepresented in the survey. However, this selection bias was minimized when non-response weights were applied. Associations between mental disorders and general medical conditions did not appear to be affected by selection bias. With the application of non-response weights, the survey provided a sample representative of the general population in terms of mental disorder diagnoses.

Psychiatric disorders as risk factors for type 2 diabetes: An umbrella review of systematic reviews with and without meta-analyses.

Having a psychiatric disorder may increase the risk of developing type 2 diabetes[T2D] and this umbrella review aims to determine whether people with a psychiatric disorder have an increased risk of developing T2D and to investigate potential underlying mechanisms. A literature search was performed to identify systematic reviews of longitudinal studies investigating different psychiatric disorders as risk factors for incident T2D in humans (≥18 years). A total of 8612 abstracts were identified, 180 full-text articles were read, and 25 systematic reviews were included. Six categories of psychiatric disorders were identified. Except for eating disorders, all psychiatric disorders were associated with increased risk of incident T2D ranging from RR = 1.18 [95% CI 1.12-1.24] to RR = 1.60 [95% CI 1.37-1.88] for depression; from RR = 1.27 [95% CI 1.19-1.35] to OR = 1.50 [95% CI 1.08-2.10] for use of antidepressant medication; from OR = 1.93 [1.37-2.73] to OR = 1.94 [1.34-2.80] for use of antipsychotic medication; from RR = 1.55 [95% CI 1.21-1.99] to RR = 1.74 [95% CI 1.30-2.34] for insomnia, and finally showed OR = 1.47 [95% CI 1.23-1.75] for anxiety disorders. Plausible underlying mechanisms were discussed, but in most reviews corrections for mechanisms did not explain the association. Notable, only 16% of the systematic reviews had a high methodological quality.

The relative importance of work-related and non-work-related stressors and perceived social support on global perceived stress in a cross-sectional population-based sample.

BACKGROUND: High levels of perceived stress have a negative bearing on health and well-being, and stress is a major public health issue. According to the Stress Process Model, stressors are socially patterned and combine to produce strain. Despite this, most studies on stress have focused on work-related stressors leaving non-work determinants under-investigated. The aim of the present study was to determine the relative importance of work-related and non-work-related stressors and perceived social support for the overall perceived stress level. METHODS: Self-reported data were drawn from the 2017 population-based health survey "How are you?" conducted in the Central Denmark Region (N = 32,417). Data were linked with data drawn from national administrative registers. Work- and non-work-related stressors assessed included major life events, chronic stressors and daily hassles. Perceived social support was assessed using a single question. Overall perceived stress was assessed by the 10-item Perceived Stress Scale. We conducted dominance analyses based on a multiple linear regression model to determine the most important explanatory variables of overall perceived stress. Analyses were weighted and adjusted. RESULTS: Work- and non-work-related stressors along with perceived social support explained 42.5% of the total variance (R2) in overall perceived stress. The most important explanatory variables were disease, perceived social support and work situation. The stratified analyses produced slightly varying results ("dominance profiles") of perceived stress between subgroups. Work situation was the most important explanatory variable in the employed group. However, adding non-work-related explanatory variables to the analysis tripled the explained variance. CONCLUSIONS: The overall level of perceived stress can be statistically explained by a combination of work- and non-work-related stressors and perceived social support both at population level and in subgroups. The most important explanatory variables of overall perceived stress are disease, perceived social support and work situation. Results indicate that public health strategies aiming to reduce stress should take a comprehensive approach and address a variety of stressor domains rather than focus on a single domain. TRIAL REGISTRATION: The study was approved by the Danish Data Protection Agency (r. no. 2012-58-0006) and registered in the Central Denmark Region (r. no. 1-16-02-593-16).

Loneliness, Social Isolation, and Chronic Disease Outcomes.

BACKGROUND: Research suggests that loneliness and social isolation (SI) are serious public health concerns. However, our knowledge of the associations of loneliness and SI with specific chronic diseases is limited. PURPOSE: The present prospective cohort study investigated (a) the longitudinal associations of loneliness and SI with four chronic diseases (cardiovascular disease [CVD], chronic obstructive pulmonary disease [COPD], diabetes mellitus Type 2 [T2D], and cancer), (b) the synergistic association of loneliness and SI with chronic disease, and (c) baseline psychological and behavioral explanatory factors. METHODS: Self-reported data from the 2013 Danish "How are you?" survey (N = 24,687) were combined with individual-level data from the National Danish Patient Registry on diagnoses in a 5 year follow-up period (2013-2018). RESULTS: Cox proportional hazard regression analyses showed that loneliness and SI were independently associated with CVD (loneliness: adjusted hazard ratio (AHR) = 1.20, 95% confidence interval [CI; 1.03, 1.40]; SI: AHR = 1.23, 95% CI [1.04, 146]) and T2D (loneliness: AHR =1.90, 95% CI [1.42, 2.55]; SI: AHR = 1.59, 95% CI [1.15, 2.21]). No significant associations were found between loneliness or SI and COPD and cancer, respectively. Likewise, loneliness and SI did not demonstrate a synergistic effect on chronic disease. Multiple mediation analysis indicated that loneliness and SI had an indirect effect on CVD and T2D through both baseline psychological and behavioral factors. CONCLUSION: Loneliness and SI were independently associated with a diagnosis of CVD and T2D within a 5 year follow-up period. The associations of loneliness and SI with CVD and T2D were fully explained by baseline psychological and behavioral factors.

Low Health Literacy and Mortality in Individuals with Cardiovascular Disease, Chronic Obstructive Pulmonary Disease, Diabetes, and Mental Illness: A 6-Year Population-Based Follow-Up Study.

BACKGROUND: The objective of the study was to examine the impact of health literacy on mortality in the general population and among individuals with cardiovascular disease (CVD), chronic obstructive pulmonary disease (COPD), diabetes, and mental illness. METHODS: Data from a large Danish health survey (n = 29,473) from 2013 were linked with national mortality registry data to permit a 6-year follow-up. RESULTS: Individuals reporting difficulties in understanding information about health, had higher risk of dying during follow-up (hazard rate (HR) 1.38 (95% CI 1.11-1.73)) compared with those without difficulties. Higher risk was also observed among people reporting CVD (HR 1.47 (95% CI 1.01-2.14)), diabetes (HR 1.91 (95% CI 1.13-3.22)) and mental illness (HR 2.18 (95% CI 1.25-3.81)), but not for individuals with COPD. Difficulties in actively engaging with healthcare providers was not associated with an increase in the risk of dying in the general population or in any of the four long-term condition groups. CONCLUSIONS: Aspects of health literacy predict a higher risk of dying during a 6-year follow-up period. Our study serves as a reminder to healthcare organizations to consider the health literacy responsiveness of their services in relation to diverse health literacy challenges and needs.

Impact of low health literacy on healthcare utilization in individuals with cardiovascular disease, chronic obstructive pulmonary disease, diabetes and mental disorders. A Danish population-based 4-year follow-up study.

BACKGROUND: Previous research from the USA has shown that low health literacy is associated with higher hospitalization rates and higher rates of emergency service use. However, studies in a European context using more comprehensive health literacy definitions are lacking. The aim was to study the impact of low health literacy on healthcare utilization in a Danish context. METHODS: In this prospective cohort study, baseline survey data from 2013 were derived from a large Danish health and morbidity survey and merged with individual-level longitudinal register data for a 4-year follow-up period. The study included people in the general population (n = 29 473) and subgroups of people with four different chronic conditions: cardiovascular disease (CVD) (n = 2389), chronic obstructive pulmonary disease (COPD) (n = 1214), diabetes (n = 1685) and mental disorders (n = 1577). RESULTS: In the general population, low health literacy predicted slightly more visits to the general practitioner and admissions to hospital and longer hospitalization periods at 4 years of follow-up, whereas low health literacy did not predict planned outpatient visits or emergency room visits. In people with CVD, low health literacy predicted more days with emergency room visits. In people with mental disorders, difficulties in actively engaging with healthcare providers were associated with a higher number of hospital admission days. No significant association between health literacy and healthcare utilization was found for diabetes or COPD. CONCLUSIONS: Even though Denmark has a universal healthcare system the level of health literacy affects healthcare use in the general population and in people with CVD and mental disorders.