Social relationships and the risk of incident heart failure: results from a prospective population-based study of older men

Social isolation, loneliness and the relationship with serum biomarkers, functional parameters and mortality in older adults

BACKGROUND

Pathways between social isolation (SI), loneliness and health are unclear.

AIMS

To analyze the relationship between SI and loneliness with biomarkers of inflammation, cardiac and immune function, functional parameters, and mortality.

METHODS

SI (Lubben Social Network Scale) from family, friends, and overall as well as loneliness (single direct question) were assessed at baseline in a population-based cohort study of 1459 community-dwelling adults aged 65 + in Germany. Serum biomarkers and functional parameters measured at baseline and at three-year follow-up included high-sensitivity C reactive protein (hs-CRP), growth differentiation factor-15 (GDF-15), N-terminal pro-brain natriuretic peptide (NT-proBNP), high-sensitivity troponin I (hs-cTnI), high-sensitivity troponin T (hs-cTnT), gait speed, and hand grip strength. We used linear and Cox regression analyses adjusted for age and sex (model 1) and established confounders (model 2).

RESULTS

High SI from friends was associated with small but significant adverse associations with some biomarkers (hs-CRP, GDF-15, hs-cTnT) at follow-up (model 1). High SI from family associated with NT-proBNP (model 2), high SI and moderate to severe loneliness with lower gait speed. Loneliness was linked to hs-CRP at baseline, but SI was a stronger predictor of biomarker levels. High SI overall (Hazard ratio 1.39, 95% CI 1.15; 1.67, model 2) was associated with increased 10-year mortality.

DISCUSSION

Mainly SI from friends is linked to unfavorable biomarker profiles with small associations. Overall SI was negatively associated with functional parameters and positively with mortality.

CONCLUSIONS

Further research should confirm our findings using, e.g. a multidimensional assessment of loneliness.

Loneliness and repetitive negative thinking mediate the link between social health and cardiac distress in heart disease patients

Cardiovascular diseases are the leading cause of mortality worldwide, contributing to one-third of global deaths. Beyond physical health, heart disease is associated with cardiac distress, an emotional response that can negatively impact recovery and well-being. Understanding the psychological and social mechanisms underlying cardiac distress is crucial for improving patient outcomes. This study examines how social health (social support and social isolation) influences cardiac distress, with loneliness and repetitive negative thinking as mediators. To evaluate a theoretical model linking social health to cardiac distress, mediated by loneliness and repetitive negative thinking in patients with heart disease. A cross-sectional, correlational study was conducted in 2024 with 400 cardiac patients from two hospitals and one private clinic in Amol, Iran. Participants completed validated questionnaires assessing cardiac distress, social support, social isolation, loneliness, and repetitive negative thinking. Structural equation modeling was used for data analysis. Social isolation (r = 0.47, p < 0.001) and repetitive negative thinking (r = 0.50, p < 0.001) were significantly associated with greater cardiac distress. Social support negatively predicted both loneliness (β = - 0.32, p < 0.001) and cardiac distress (β = - 0.25, p < 0.01). Indirect effects showed that social support reduced cardiac distress by decreasing loneliness and repetitive negative thinking (β = - 0.23, p < 0.01), while social isolation increased cardiac distress through its influence on loneliness and repetitive negative thinking (β = 0.18, p = 0.05). The model explained 47.4% of the variance in cardiac distress. These findings highlight the importance of social health in managing cardiac distress among heart disease patients. Strengthening social support may alleviate loneliness and reduce repetitive negative thinking, ultimately improving emotional well-being and health outcomes. Future research should explore targeted interventions addressing these psychosocial factors to effectively reduce cardiac distress.

Risk factors and prognostic impact of unwanted loneliness in heart failure

Heart failure (HF) is associated with a high prevalence of unwanted loneliness. This study aimed to assess whether unwanted loneliness was associated with adverse clinical endpoints in HF patients. Additionally, we also aimed to examine the risk factors associated with unwanted loneliness in HF. We included 298 patients diagnosed with stable HF. Clinical, biochemical, echocardiographic parameters and loneliness using ESTE II scale were assessed. We analyzed the association between the exposure and adverse clinical endpoints by Cox (death or any hospitalization), and negative binomial regressions (recurrent hospitalizations or visits to the emergency room). Risk factors associated with loneliness were analyzed using logistic regression. The mean age was 75.8 ± 9.4 years, with 111 (37.2%) being women, 53 (17.8%) widowed, and 154 (51.7%) patients having preserved ejection fraction. The median (p25-p75%) ESTE II score was 9.0 (6.0-12.0), and 36.9% fulfilled the loneliness criteria (> 10). Both women (OR = 2.09; 95% CI 1.11-3.98, p = 0.023) and widowhood (OR = 3.25; 95% CI 1.51-7.01, p = 0.003) were associated with a higher risk of loneliness. During a median follow-up of follow-up of 362 days (323-384), 93 patients (31.3%) presented the combined episode of death or all-cause admissions. Loneliness was significantly related to the risk of time to the composite of death or any readmission during the composite (HR = 1.83; 95% CI 1.18-2.84, p = 0.007). Women and widowhood emerge as risk factors for unwanted loneliness in HF patients. Unwanted loneliness is associated with higher morbidity during follow-up.

Fostering wellbeing and healthy lifestyles through conviviality and commensality: Underappreciated benefits of the Mediterranean Diet

Among the often-neglected features of healthy diets, such as the Mediterranean diet, is the preparation and sharing of food, which is (or was) done in a social environment governed by social rules rather than by time constraints. The act of eating is a daily human practice that is not limited to meeting nutritional and energy needs but also involves a constructed social dimension of sharing meals that is part of the process of human civilization and food cultures around the world. In this narrative review, we outline the importance of conviviality in steering part of the health effects of healthful diets, with special reference to the Mediterranean diet. Based on the available evidence, we suggest that public health initiatives (such as nudging to promote conviviality) to improve people's eating and living styles, reduce loneliness, and promote the sharing of meals could improve health. Interventions aimed at directly increasing/improving people's social relationships, networking, and conviviality can-directly and indirectly-improve both psychological well-being and general health.

External Validation of the Japanese Clinical Score for Mortality Prediction in Patients With Acute Heart Failure

BACKGROUND

To predict mortality in patients with acute heart failure (AHF), we created and validated an internal clinical risk score, the KICKOFF score, which takes physical and social aspects, in addition to clinical aspects, into account. In this study, we validated the prediction model externally in a different geographic area.

METHODS AND RESULTS

There were 2 prospective multicenter cohorts (1,117 patients in Osaka Prefecture [KICKOFF registry]; 737 patients in Kochi Prefecture [Kochi YOSACOI study]) that had complete datasets for calculation of the KICKOFF score, which was developed by machine learning incorporating physical and social factors. The outcome measure was all-cause death over a 2-year period. Patients were separated into 3 groups: low risk (scores 0-6), moderate risk (scores 7-11), and high risk (scores 12-19). Kaplan-Meier curves clearly showed the score's propensity to predict all-cause death, which rose independently in higher-risk groups (P<0.001) in both cohorts. After 2 years, the cumulative incidence of all-cause death was similar in the KICKOFF registry and Kochi YOSACOI study for the low-risk (4.4% vs. 5.3%, respectively), moderate-risk (25.3% vs. 22.3%, respectively), and high-risk (68.1% vs. 58.5%, respectively) groups.

CONCLUSIONS

The unique prediction score may be used in different geographic areas in Japan. The score may help doctors estimate the risk of AHF mortality, and provide information for decisions regarding heart failure treatment.

Social Networks and Cardiovascular Disease Events in the Jackson Heart Study

Background

Cardiovascular disease (CVD) disproportionately affects African American adults. Greater social networks (SN), or social connectedness, may lower the risk of CVD events.

Objective

Determine the association of SN and incident CVD and test mediation by depressive symptoms, hypertension control and diabetes control.

Methods

We used the Social Network Index (SNI) at exam 1 (2000-2004) to develop a continuous standardized SN score and binary categories (high vs. low) among participants in the Jackson Heart Study (n=5252, mean age=54.8 years). Surveillance of coronary heart disease (CHD), stroke, and heart failure (HF) events occurred after exam 1 (2005 for HF) until 2016. Using Cox proportional hazards regression, we estimated the association of SN and CVD events by sex and tested the mediation of depressive symptoms, hypertension control and diabetes control. Models adjusted for age, education, health behaviors, and CVD co-morbidities.

Results

Among women, the SN score was associated with a lower risk of CHD and HF after full adjustment (HR 0.78, 95% CI 0.68, 0.89 and HR 0.78, 95% CI 0.63, 0.95, respectively), but the association with stroke attenuated after adjustment for co-morbidities (HR 95% CI 0.88 95% CI 0.67, 1.14). SN scores were also associated with CHD in men (HR 0.84, 95% CI 0.70, 0.99) after full adjustment. High vs. low SN was associated with CHD in men and women, but not after adjustment for co-morbidities. There was no evidence of mediation by depressive symptoms, diabetes control, and hypertension control.

Conclusion

Higher SN may lower the risk of CVD events, especially in women.