Loneliness increases the risk of type 2 diabetes: a 20 year follow-up - results from the HUNT study

Loneliness and social isolation as risk factors for type 2 diabetes onset: A systematic review and meta-analysis

AIMS

This study sought to analyze the association of social isolation and loneliness with the risk of type 2 diabetes onset.

METHODS

Two authors systematically searched PubMed, EMBASE, and Web of Science databases for studies published until February 2025, assessing the risk of incidence of type 2 diabetes in individuals who are socially isolated or lonely. To quantify the risk of incident diabetes, hazard ratios (HR) for loneliness and social isolation were pooled using a random-effects inverse-variance model with empirical Bayes estimation.

RESULTS

Nine prospective cohort studies were included, comprising 1,112,887 individuals (60.5 % female, mean age = 57.1 years), with 50,961 new cases of type 2 diabetes over a mean follow-up of 10.7 years. Loneliness was associated with a 32% increased risk of type 2 diabetes (HR = 1.32 [95 % confidence interval [CI]:1.11-1.57]). Social isolation was linked to a 20% higher risk (HR = 1.20 [95 %CI:1.01-1.43]). The included studies showed fair-to-good methodological quality (mean score: 10.11/14) based on the Quality Assessment Tool for Observational Cohort and Cross-Sectional Studies.

CONCLUSIONS

Social isolation and loneliness are significant risk factors for type 2 diabetes. Addressing social connectedness could be a valuable strategy for diabetes prevention, emphasizing the need to incorporate psychosocial factors into public health initiatives.

Social isolation, loneliness, and incidence of type 2 diabetes mellitus: A systematic review and meta-analysis

OBJECTIVE

Social isolation and loneliness are forms of social disconnection that have been linked to increased risk of many metabolic disorders, including Type 2 Diabetes Mellitus (T2DM). However, evidence to support this relation is lacking. This study aims to investigate the association between social isolation, loneliness, and the incidence risk of T2DM.

METHODS

We searched various electronic databases including MEDLINE (via PubMed), Embase, the Cochrane Library, and Google scholar to retrieve qualitative studies comparing the incidence of T2DM in patients with social isolation or loneliness. We performed statistical analysis on RevMan 5.4 using the random effect model.

RESULTS

Loneliness was associated with a significantly increased incidence of T2DM (OR: 1.44; 95 % CI: 1.19-1.73; P:0.0001), with high heterogeneity (I² = 95 %). Sensitivity analysis indicated potential variability due to differences in loneliness measurements. Social isolation also showed a significant association with T2DM (OR: 1.88; 95 % CI: 1.38-2.58; P:<0.0001) with high heterogeneity (I² = 98 %).

CONCLUSION

In conclusion, we found social isolation and loneliness are independently associated with a higher incidence of T2DM. These findings underscore the need to address psychosocial elements like social isolation and loneliness in the management of T2DM. However, further studies with larger sample sizes, longer follow-up durations, and uniform criteria is warranted to better understand the association between social isolation, loneliness and T2DM.

Association of social isolation and loneliness with all-cause and cause-specific mortality among individuals with type 2 diabetes: a prospective study in UK Biobank

BACKGROUND

Previous study revealed that social isolation and loneliness are associated with incident type 2 diabetes mellitus (T2DM). However, the long-term effects of social isolation and loneliness on the population with T2DM have not been known. This study aims to evaluate the potential associations of social isolation and loneliness with all-cause and cause-specific mortality in individuals with T2DM.

METHODS

The prospective cohort study included 26 549 UK adults diagnosed with T2DM at baseline. Social isolation and loneliness were evaluated through a self-reported questionnaire. Mortality data was obtained from the National Death Registration Centre.

RESULTS

During a median follow-up of 13.3 years (IQR: 12.5-14.2 years), 5467 (20.6%) participants died from all-cause, 1953 (7.4%) from cardiovascular disease (CVD) and 1569 (5.9%) from cancer. Social isolation could increase the risks of all-cause, CVD and cancer mortality (most vs least; adjusted HR (95% CI): 1.32 (1.22-1.42), 1.44 (1.26-1.65) and 1.19 (1.05-1.34), respectively). Similarly, loneliness significantly increased the risks of all-cause, and CVD mortality (yes vs no; adjusted HR (95% CI): 1.17 (1.07-1.28) and 1.26 (1.07-1.48)). In joint analyses, as the degree of social isolation intensified, there were concomitant rises in the risks of all-cause, and CVD mortality in the no-loneliness or loneliness subgroup (adjusted HR (95% CI): 1.4 (1.21-1.61) and 1.65 (1.29-2.11)).

CONCLUSIONS

This study found that social isolation was significantly associated with the increased risks of all-cause, CVD and cancer mortality among individuals with T2DM. Loneliness was also associated with all-cause mortality and CVD mortality, but not cancer mortality. These findings highlight the importance of social isolation and loneliness management in patients with T2DM.

Classification and identification of risk factors for type 2 diabetes

The risk factors for type 2 diabetes mellitus (T2DM) have been increasingly researched, but the lack of systematic identification and categorization makes it difficult for clinicians to quickly and accurately access and understand all the risk factors, which are categorized in this paper into five categories: Social determinants, lifestyle, checkable/testable risk factors, history of illness and medication, and other factors, which are discussed in a narrative review. Meanwhile, this paper points out the problems of the current research, helps to improve the systematic categorisation and practicality of T2DM risk factors, and provides a professional research basis for clinical practice and industry decision-making.

The association between insomnia (related symptoms) and glycaemic control: a systematic review and meta-analysis

Background

Insomnia characterised by difficulties in falling asleep and maintaining sleep, and early awaking, is a prevalent worldwide sleep disorder. While previous studies have suggested an association between insomnia and adverse glycaemic control, the evidence remains inconclusive. Therefore, this meta-analysis aims to explore this association.

Methods

Insomnia was assessed based on defined criteria, including related symptoms such as poor sleep quality and low sleep efficiency. Glycaemic control was evaluated using indicators such as fasting plasma glucose, haemoglobin A1c, and the presence of diabetes. A literature search was performed in PubMed, Web of Science, and Scopus. The quality of the included studied was assessed using The Newcastle-Ottawa Scale. Effect sizes, including odds ratio, relative risk, mean difference, and standard mean difference, were chosen based on data type. Forest plots visually displayed pooled effect sizes and corresponding 95% confidence intervals, while the I2 test calculated heterogeneity. Meta-regression and subgroup analysis explored potential sources of heterogeneity. Leave-one-out sensitivity analysis assessed result robustness, and Begg's and Egger's tests evaluated publication bias.

Results

Ninety-one articles, comprising 84 are cross-sectional studies, (five are case-control studies, and two are cohort studies) with 2 217 521 participants, were included. Ten separate meta-analyses were conducted based on variable type (binary/continuous), study design (cross-sectional, case-control, or cohort), and measurement of exposures/outcomes. All meta-analyses indicated a positive association between insomnia (related symptoms) and adverse glycaemic control. However, three meta-analyses showed significant heterogeneity, and three lacked robustness. No publication bias was detected across any of the analyses.

Conclusions

Insomnia is likely associated with adverse glycaemic control. As the included studies are observational, future research should prioritise diverse methodologies and robust study designs to further explore this complex relationship.

Keywords

insomnia, insomnia related symptoms, glycaemic control, systematic review, meta-analysis.

Registration

PROSPERO CRD42024491688.

Loneliness, Discrimination, Stress, and Type 2 Diabetes Risk in Young Adults

INTRODUCTION

The aim of this study was to determine the associations between type 2 diabetes or prediabetes and loneliness and related social experiences in young adults, a population at increasingly high risk of type 2 diabetes.

METHODS

This was a cross-sectional analysis using data from adults aged 18-35 years enrolled in the All of Us Research Program. Exposures included loneliness, social support, discrimination, neighborhood social cohesion, and stress, measured by standardized surveys. The main outcome was type 2 diabetes or prediabetes by self-report or linked health record. Logistic regression determined the odds of type 2 diabetes/prediabetes for each survey measure, adjusting for age, sex, race or ethnicity, income, and family history. Latent class analysis evaluated clustering of social experiences. Data were collected from 2018 to 2022 and analyzed in May 2023-June 2024.

RESULTS

The cohort included 14,217 young adults (aged 28.2 ± 4.4 years, 73.1% [n=10,391] women, 64.1% [n=9,111] White, 10.6% [n=1,506] Hispanic, 5.7% [n=806] Black, and 9.1% [n=1,299] multiracial). Overall, 5.5% (n=777) had either prediabetes or type 2 diabetes. The 2 highest loneliness quartiles were associated with increased odds of prediabetes/type 2 diabetes (Q3: OR=1.42 [95% CI=1.15, 1.76] and Q4: OR=1.78 [95% CI=1.45, 2.19]). Greater stress and discrimination and lower social support and neighborhood social cohesion were also associated with increased odds of prediabetes/type 2 diabetes. Latent class analysis revealed 3 distinct phenotypes, with elevated odds of prediabetes/type 2 diabetes in the 2 with the most adverse social profiles (OR=2.32 [95% CI=1.89, 2.84] and OR=1.28 [95% CI=1.04, 1.58]).

CONCLUSIONS

Loneliness and related experiences are strongly associated with type 2 diabetes and prediabetes in young adults. Whether these factors could be leveraged to reduce type 2 diabetes risk should be investigated.

Specific depressive symptoms, body mass index and diabetes in middle-aged and older Chinese adults: Analysis of data from the China Health and Retirement Longitudinal Study (CHARLS)

BACKGROUND

This study examined the association between specific depressive symptoms and incident diabetes, and whether overweight or obesity mediates this relationship among middle-aged and older adults in China.

METHODS

In a nationally representative prospective cohort study of 11,893 middle-aged and older Chinese adults without baseline diabetes, we used Cox models to assess the association between depressive symptoms and diabetes. The quantile g-computation (qgcomp) model evaluated the contribution of 10 specific depressive symptoms to diabetes risk, and a two-stage regression method explored the mediation effect of overweight or obesity.

RESULTS

Over a median follow-up of 7.1 years, 1,314 cases of diabetes were identified. Elevated depressive symptoms were associated with increased diabetes risk (HR 1.23; 95 % CI 1.09-1.38). Eight out of 10 depressive symptoms were significantly associated to diabetes, with loneliness (weight = 18 %; HR 1.23; 95 % CI 1.10-1.39), restless sleep (weight = 17 %; HR 1.16; 95 % CI 1.04-1.29), and bother (weight = 15 %; HR 1.19; 95 % CI 1.07-1.33) being the primary contributors. Mediation analysis showed that overweight and obesity reduced the depression-diabetes risk association by 8.21 % and 12.61 %, respectively.

LIMITATIONS

Diagnosis of diabetes was self-reported.

CONCLUSIONS

Eight out of ten specific depressive symptoms were associated to diabetes, overweight and obesity may partially mitigate the effect of depressive symptoms on diabetes among middle-aged and older adults in China.

CLINICAL IMPLICATIONS

Our results highlight the importance of tailoring diabetes prevention and management strategies according to specific depressive symptoms among middle-aged and older adults in China.

The hidden impact: social isolation and inflammation's role in pancreatic cancer risk among those with diabetes

BACKGROUND

Pancreatic cancer poses a significant challenge in individuals with diabetes, prompting a reevaluation of established risk factors beyond conventional glycemic control measures.

OBJECTIVES

To explore the complex interplay of metabolic and psychosocial determinants in pancreatic cancer risk among individuals with diabetes, challenging prevailing perspectives and advocating for a comprehensive approach.

METHODS

A total of 21,945 UK Biobank participants with baseline diabetes diagnosis were analyzed. Social isolation was assessed through a questionnaire capturing five factors: household size, social activities, friend/family visits, loneliness, and confiding in others. Incident pancreatic cancer was identified using ICD codes. Baseline characteristics, insulin use, and other relevant factors were analyzed. Hazard ratios and mediation analyses were conducted to determine the relationship between social isolation, inflammation, and pancreatic cancer risk.

RESULTS

Individuals with high social isolation were more likely to be male, smokers, non-drinkers, and have shorter sleep duration. They also had an increased risk of pancreatic cancer (HR = 2.65, 95% CI = 1.12-6.24) compared to those with low social isolation. Mediation analyses highlighted inflammation as a crucial mediator, with the proportion mediated by inflammation being 19.44% for insulin use, 10.34% for smoking, and 8.33% for social isolation.

CONCLUSIONS

Our findings highlight the importance of psychosocial factors in pancreatic cancer risk and underscore the need for further research to elucidate the underlying mechanisms.

Onset of Type 2 diabetes in adults aged 50 and older in Europe: an intersectional multilevel analysis of individual heterogeneity and discriminatory accuracy

BACKGROUND

Disparities in the development of Type 2 Diabetes (T2D) are associated with various social determinants, including sex/gender, migration background, living arrangement, education, and household income. This study applied an intersectional perspective to map social disparities and investigate intersectional effects regarding the onset of T2D among older adults across Europe.

METHODS

We used data from the Survey of Health and Retirement in Europe (SHARE) to conduct an Intersectional Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (I-MAIHDA) of T2D onset. Individuals aged 50 years or older without known T2D at Wave 4 (2011, baseline) were included and followed through Waves 5 (2013), 6 (2015), 7 (2016), and 8 (2019-2020). Intersectional models were used to estimate additive main effects of sex/gender, migration background, living arrangement, education level, and household income and intersectional interactions.

RESULTS

A total of 39,108 individuals were included (age at baseline M = 65.18 years (SD = 9.62), 57.4% women). T2D onset was reported for 9.2% of the sample over the 9-year observation period. In the fully adjusted model, all social determinants showed significant additive associations with T2D onset, while the discriminatory accuracy of the social strata was found to be low (Variance Partition Coefficient = 0.3%).

CONCLUSIONS

This study provides a comprehensive mapping of intersectional disparities in onset of T2D among older adults in Europe. The results highlight the risk heterogeneity within the population and show social disadvantages faced by certain groups. However, while the T2D risks were higher in some strata than in others, the intersectional effects were small overall and mostly attributable to the additive main effects. The results suggest that public health strategies to prevent T2D should be universal but tailored to meet the specific situation of the different intersectional strata.

Opioid Regulation of Social Homeostasis: Connecting Loneliness to Addiction

Loneliness heightens the risk of substance use disorder, and a desire to escape this negative feeling motivates drug use. Opioid drugs in particular are believed to target neurobiological circuits involved in social bonding, increasing vulnerability to opioid addiction when social connectedness is lacking. In this narrative review, we consider how current understanding of μ opioid modulation of reward and threat processing across domains sheds light on the mechanisms that link loneliness and substance use. We discuss evidence for state- and context-dependent μ opioid modulation of social affect and behaviors, which appears to promote prioritization of high-value reward options also in the context of threat. Tying this literature to the model of social homeostasis, we argue for a role of μ opioids in regulating social homeostasis across species. Finally, we explore how disruption of social homeostasis in chronic opioid use contributes to continued drug use. We highlight how increasing patients' psychosocial resources and opportunities for social bonding can improve recovery from drug addiction. Throughout, we consider the translational robustness and generalizability of the nonhuman animal evidence in light of existing human research.

Social Isolation, Loneliness, and Risk of Microvascular Complications Among Individuals With Type 2 Diabetes Mellitus

RATIONALE & OBJECTIVE

Social disconnection has been associated with poor cardiometabolic health. This study sought to investigate the associations of social isolation and loneliness with diabetic microvascular complications (DMCs) among individuals with type 2 diabetes mellitus (T2DM) and compare these associations versus those related to traditional risk factors.

STUDY DESIGN

Prospective cohort study.

SETTING & PARTICIPANTS

A total of 24,297 UK Biobank participants with T2DM and no DMCs at baseline.

EXPOSURE

Social isolation and loneliness were measured using self-reported questionnaires.

OUTCOME

The incidence of DMCs defined as a composite of diabetic kidney disease, diabetic retinopathy, or diabetic neuropathy.

ANALYTICAL APPROACH

Multivariable cause-specific hazards regression. To compare the relative importance of social disconnection with other established factors, the R2 values of the Cox models were calculated.

RESULTS

During a median follow-up of 12.6 years, 5,530 patients were documented to experience DMCs (3,458 with diabetic kidney disease, 2,255 with diabetic retinopathy, and 1,146 with diabetic neuropathy). The highest level of social isolation was associated with an increased risk of any DMC component (most vs least: HR, 1.13; 95% CI, 1.05-1.22), especially diabetic kidney disease (HR, 1.14; 95% CI, 1.04-1.25) and neuropathy (HR, 1.31; 95% CI, 1.11-1.53). Any level of loneliness was associated with an increased risk of any DMC component (HR, 1.12; 95% CI, 1.02-1.23) and diabetic kidney disease (HR, 1.16; 95% CI, 1.03-1.30). Social isolation and loneliness exhibited associations with DMCs comparable to those of other conventional risk factors, including smoking, blood pressure, and physical activity.

LIMITATIONS

Limited generalizability related to the composition of participants in the UK Biobank Study.

CONCLUSIONS

Social isolation and loneliness were independently associated with a higher risk of incident DMCs among individuals with T2DM, with comparable importance to other traditional risk factors. These findings underscore social isolation and loneliness as novel and potentially modifiable risk factors for DMCs.

PLAIN-LANGUAGE SUMMARY

Social isolation and loneliness are important social determinants that are associated with adverse cardiometabolic health. Individuals with diabetes are particularly vulnerable to social isolation and loneliness. However, the relationship of social isolation or loneliness with diabetic microvascular complications (DMCs) remains unclear. Our study used the UK Biobank study data to investigate the associations of social isolation and loneliness with the development of DMCs. We found that social isolation and loneliness were independently associated with a higher risk of incident DMCs. Remarkably, their association with DMCs was comparable to those of other lifestyle factors such as smoking, blood pressure, and physical activity. These findings collectively imply that social isolation and loneliness are 2 important potentially modifiable risk factors for DMCs among individuals with type 2 diabetes mellitus.

[Loneliness as health risk: a narrative review]

Loneliness is increasingly recognized as a significant health risk. This review provides an overview of current research on the impact of loneliness on mental and physical health. The findings indicate that loneliness is a significant risk factor of both mental and physical health. Previous reviews focusing on mental health effects reveal that loneliness is associated with the onset of depression, social anxiety, and cognitive decline. Furthermore, loneliness can impede recovery from mental disorders in general, which can be partly attributed to the bidirectional interplay between loneliness and mental health. Regarding physical health, consequences of loneliness have been mostly studied in relation to cardiovascular diseases. Loneliness predicts the onset of cardiovascular diseases and impedes recovery from them. Reviews also highlight that loneliness enhances the likelihood of suicidality and mortality. However, this article also points out the shortage of longitudinal studies, complicating the investigation into how loneliness causally affects future health problems. The health implications of loneliness outlined in this review, some of which are irreversible and can induce suffering and impairment, underscore the importance of interventions aimed at alleviating loneliness as a preventive strategy against both mental and physical illnesses.

A translational neuroscience perspective on loneliness: Narrative review focusing on social interaction, illness and oxytocin

This review addresses key findings on loneliness from the social, neurobiological and clinical fields. From a translational perspective, results from studies in humans and animals are included, with a focus on social interaction, mental and physical illness and the role of oxytocin in loneliness. In terms of social interactions, lonely individuals tend to exhibit a range of abnormal behaviors based on dysfunctional social cognitions that make it difficult for them to form meaningful relationships. Neurobiologically, a link has been established between loneliness and the hypothalamic peptide hormone oxytocin. Since social interactions and especially social touch regulate oxytocin signaling, lonely individuals may have an oxytocin imbalance, which in turn affects their health and well-being. Clinically, loneliness is a predictor of physical and mental illness and leads to increased morbidity and mortality. There is evidence that psychopathology is both a cause and a consequence of loneliness. The final section of this review summarizes the findings from social, neurobiological and clinical perspectives to present a new model of the complex construct of loneliness.

The relationship between loneliness and blood glucose: a cross-sectional survey among Japanese

Recently, researchers have uncovered a correlation between loneliness and both the development and management of diabetes. Nevertheless, previous studies employing an unvalidated loneliness questionnaire impair result accuracy. Furthermore, this aspect has not been researched in the Japanese population. Therefore, this cross-sectional study analyzed data from the Kanagawa prospective "ME-BYO" Cohort Study (ME-BYO cohort) to investigate the correlation between loneliness, as measured by 20 items on the UCLA Loneliness Scale, and blood glucose levels. A total of 666 participants were included in the analysis, with a mean age of 54.1 years and a mean BMI of 23 kg/m2. Half of the participants had obtained an education level beyond high school. The mean household income and physical activity level were reported as 6.83 million Japanese yen and 12.3 METs-h/day, respectively. Model 1 of the linear regression analysis determined that there was no significant association between the loneliness scale and HbA1c (p = 0.512). After adjusting for age, gender, BMI (model 2), sitting time, physical activity level (model 3), housemates, household income, and final education (model 4), and controlling for social support, quality of life, and depression (model 5), the results showed no significant association, with a p-value of 0.823, 0.791, 0.792, and 0.816, respectively. Thus, the study found no link between loneliness and HbA1c in the high SES population. This finding contradicts previous results and may be attributed to the impact of population characteristics, SES status, or genetic backgrounds.

Interaction of serotonin/GLP-1 circuitry in a dual preclinical model for psychiatric disorders and metabolic dysfunction

Isolation of rodents throughout adolescence is known to induce many behavioral abnormalities which resemble neuropsychiatric disorders. Separately, this paradigm has also been shown to induce long-term metabolic changes consistent with a pre-diabetic state. Here, we investigate changes in central serotonin (5-HT) and glucagon-like peptide 1 (GLP-1) neurobiology that dually accompany behavioral and metabolic outcomes following social isolation stress throughout adolescence. We find that adolescent-isolation mice exhibit elevated blood glucose levels, impaired peripheral insulin signaling, altered pancreatic function, and fattier body composition without changes in bodyweight. These mice further exhibited disruptions in sleep and enhanced nociception. Using bulk and spatial transcriptomic techniques, we observe broad changes in neural 5-HT, GLP-1, and appetitive circuits. We find 5-HT neurons of adolescent-isolation mice to be more excitable, transcribe fewer copies of Glp1r (mRNA; GLP-1 receptor), and demonstrate resistance to the inhibitory effects of the GLP-1R agonist semaglutide on action potential thresholds. Surprisingly, we find that administration of semaglutide, commonly prescribed to treat metabolic syndrome, induced deficits in social interaction in group-housed mice and rescued social deficits in isolated mice. Overall, we find that central 5-HT circuitry may simultaneously influence mental well-being and metabolic health in this model, via interactions with GLP-1 and proopiomelanocortin circuitry.

Loneliness, social isolation and incident chronic kidney disease among patients with diabetes

Background

Individuals with diabetes have a significantly higher risk of developing chronic kidney disease (CKD) and higher levels of social isolation and loneliness compared with those without diabetes. Recently, the American Heart Association highlighted the importance of considering social determinants of health (SDOH) in conjunction with traditional risk factors in patients with diabetes.

Aims

To investigate the associations of loneliness and social isolation with incident CKD risk in patients with diabetes in the UK Biobank.

Methods

A total of 18 972 patients with diabetes were included in this prospective study. Loneliness and Social Isolation Scales were created based on self-reported factors. An adjusted Cox proportional hazard model was used to investigate the associations of loneliness and social isolation with CKD risk among patients with diabetes. The relative importance in predicting CKD was also calculated alongside traditional risk factors.

Results

During a median follow-up of 10.8 years, 1127 incident CKD cases were reported. A higher loneliness scale, but not social isolation, was significantly associated with a 25% higher risk of CKD, independent of traditional risk factors, among patients with diabetes. Among the individual loneliness factors, the sense of feeling lonely emerged as the primary contributing factor to the elevated risk of CKD. Compared with individuals not experiencing feelings of loneliness, those who felt lonely exhibited a 22% increased likelihood of developing CKD. In addition, feeling lonely demonstrated greater relative importance of predicting CKD compared with traditional risk factors such as body mass index, smoking, physical activity and diet.

Conclusions

This study indicates the significant relationship between loneliness and CKD risk among patients with diabetes, highlighting the need to address SDOH in preventing CKD in this population.

Variables Associated With Moderate to High Loneliness Among Individuals Living With Spinal Cord Injuries and Disorders

OBJECTIVE

To identify variables independently associated with moderate to high loneliness in individuals living with Spinal Cord Injuries or Disorders (SCI/D).

DESIGN

A cross-sectional, national survey of a random sample of community-dwelling Veterans with SCI/D in the United States. Survey methodology was used to collect data on demographic and injury characteristics, general health, chronic and SCI-secondary conditions, and loneliness.

SETTING

The VHA SCI/D System of Care including 25 regional SCI/D Centers (or Hubs).

PARTICIPANTS

Among 2466 Veterans with SCI/D, 592 completed surveys (24%). Most participants were men (91%), white (81%), not currently married (42%), had tetraplegia (33%), and on average injured for 18 years at the time of data collection (N=562).

INTERVENTIONS

Not applicable.

MAIN OUTCOME MEASURE

The dependent variable, loneliness, was collected using the UCLA-3 instrument. Loneliness was dichotomized into never/low loneliness and moderate/high loneliness (UCLA score ≥ 4).

RESULTS

Bivariate analyses assessed unadjusted associations in demographics, injury characteristics, chronic disease, and SCI-secondary conditions. Multivariable logistic regression was used to identify factors independently associated with moderate/high loneliness. Participants had a mean loneliness score of 5.04, SD=1.99. The point prevalence of moderate to high loneliness was 66%. Lower duration of injury, paraplegia, being unmarried, being in fair/poor general health, having dysfunctional sleep, and having a diagnosis of bowel dysfunction were each independently associated with greater odds of moderate/high loneliness.

CONCLUSIONS

Findings suggest that interventions to reduce/manage loneliness in the Veteran SCI/D population should focus on those who are more newly injured, have paraplegia, currently unmarried, have bowel problems, and experience dysfunctional sleep.

Healthcare and health situation of adults with type 2 diabetes in Germany: The study GEDA 2021/2022-Diabetes

Background

The nationwide study German Health Update (GEDA) 2021/2022-Diabetes was conducted to assess the current healthcare and health situation of adults with diabetes in Germany.

Methods

GEDA 2021/2022-Diabetes comprises a sample of adults with diagnosed diabetes from the general population. The analysis focuses on adults aged 45 years and over with type 2 diabetes (N = 1,448) and provides selected indicators on diabetes care as well as mental, social and general health.

Results

87.5 % of participants aged 45 years and over with type 2 diabetes are treated with blood glucose-lowering medication. 36.5 % receive insulin alone or in combination with other antidiabetics; 0.7 % use an insulin pump. Almost 96 % had an HbA1c measurement in the last year and about two thirds each report annual foot and eye examinations, participation in a diabetes self-management education programme and self-monitoring of their feet and of blood glucose (12.0 % with continuous glucose monitoring). On average, the quality of diabetes care is perceived as moderate. 23.8 % rate their mental health as excellent/very good. More than a tenth each have anxiety or depressive symptoms and feelings of loneliness. Half rate their general health as very good/good.

Conclusions

There is a potential for improvement in the quality of diabetes care and the mental and physical health of adults with type 2 diabetes.

Trajectories of social isolation and loneliness and the risk of incident type 2 diabetes mellitus across genetic risk score

AIM

This study aimed to investigate the association of social isolation, loneliness, and their trajectory with the risk of developing type 2 diabetes mellitus (T2DM) across genetic risk.

METHODS

We included 439,337 participants (mean age 56.3 ± 8.1 years) enrolled in the UK Biobank study who were followed up until May 31, 2021. Social isolation and loneliness were self-reported and were further categorized into never, transient, incident, and persistent patterns.

RESULTS

During a median follow-up of 12.7 years, 15,258 incident T2DM cases were documented. Social isolation (versus no social isolation: hazard ratio (HR) 95 % confidence interval (CI) 1.04 [1.00;1.09]) and loneliness (versus no loneliness: 1.26 [1.19;1.34]) were associated with an increased T2DM risk, independent of the genetic risk for T2DM. The interactions existed between social isolation and loneliness (Pinteraction < 0.05); the increased T2DM risk associated with social isolation was only significant among participants without loneliness. In the longitudinal analysis, only persistent social isolation (versus never social isolation: 1.22 [1.02;1.45]) was associated with an increased T2DM risk, whereas incident loneliness (versus never loneliness: 1.95 [1.40;2.71]) and persistent loneliness (2.00 [1.31;3.04]) were associated with higher T2DM risks.

CONCLUSION

Social isolation and loneliness, especially their persistent pattern, were independently associated with an increased incident T2DM risk, irrespective of an individual's genetic risk. Loneliness modified the association between social isolation and incident T2DM.

Promise of Lifestyle Medicine for Heart Disease, Diabetes Mellitus, and Cerebrovascular Diseases

The burden of noncommunicable chronic diseases has relevant and negative consequences to persons, health care systems, and economies worldwide. Chronic diseases are the leading cause of disability and mortality and are responsible for 90% of health care expenditure. The most common chronic diseases are diabetes mellitus (DM), cardiovascular disease, and cerebrovascular disease (stroke and vascular cognitive impairment). Modifiable risk factors (MRFs) for these conditions include hypertension, hyperlipidemia, smoking, poor diet, and low-physical activity; with hypertension being the most prevalent MRF. Most MRFs can be successfully targeted through lifestyle medicine (LSM), which is a medical specialty that addresses the root causes of chronic diseases through its primary, secondary, and tertiary preventative approaches. Lifestyle medicine comprises 6 pillars (nutrition, physical activity, sleep health, stress reduction, social connections, and substance use) which through various behavioral approaches, focus on regular physical activity, healthy eating, good quality and quantity sleep, and meaningful social connections coupled with the reduction of stress and substance use. This paper will briefly review the evidence and promise of individual LSM pillars in addressing the underlying MRFs of DM, cardiovascular and cerebrovascular disease (specifically stroke and vascular cognitive impairment). Lifestyle medicine holds a great promise for comprehensive and much improved population health. However, the adoption of LSM at the societal scale requires a multifaceted approach and widespread integration would galvanize a paradigm shift to prevent, treat or reverse chronic diseases from the root causes and achieve health equity.

Loneliness and the risk of type 2 diabetes

INTRODUCTION

The incidence of type 2 diabetes is increasing globally. Recent research suggests that loneliness could be a potential risk factor for the development of type 2 diabetes. We aimed to investigate the association between loneliness and type 2 diabetes and the modifying effect of mental disorders.

RESEARCH DESIGN AND METHODS

We conducted a prospective study including 465 290 adults (aged ≥16 years) who participated in either the Danish Health and Morbidity Survey or the Danish National Health Survey between 2000 and 2017. Loneliness was based on self-report, while type 2 diabetes was measured using an algorithm combining several health registers including type 2 diabetes patients treated both within the hospital sector and general practice. Cox proportional hazards regressions were used to estimate hazard ratios (HRs) and 95% confidence intervals (95% CIs).

RESULTS

During a mean follow-up time of 6.3 years, 13 771 individuals (3%) developed type 2 diabetes. Feeling lonely once in a while was associated with a 14% increased risk of type 2 diabetes (95% CI 1.09 to 1.20), while feeling lonely often was associated with a 24% increased risk (95% CI 1.14 to 1.34), independent of sociodemographic factors and body mass index. The association was stronger among individuals without a mental disorder (HR 1.21, 95% CI 1.10 to 1.34 among those feeling lonely often) compared with those with a mental disorder (HR 1.07, 95% CI 0.93 to 1.23).

CONCLUSIONS

Loneliness independently increased the risk of type 2 diabetes. The effect was more pronounced in individuals without a mental disorder, as having a mental disorder itself likely increases the risk of type 2 diabetes. These findings emphasize the importance of addressing loneliness as a modifiable risk factor in preventing type 2 diabetes.

Social isolation, loneliness, and the risk of incident type 2 diabetes mellitus by glycemic status

AIM

The modifying effect of prediabetic status on the association of social isolation and loneliness with the risk of type 2 diabetes mellitus (T2DM) remains uncertain. We aimed to explore whether prediabetic status modifies the association of social isolation and loneliness with incident T2DM.

METHODS

358,951 participants with random blood glucose < 11.1 mmol/l, hemoglobin A1c < 6.5 % and without diagnosis of diabetes from the UK Biobank were included. Prediabetes was defined by hemoglobin A1c level at 5.7-6.4 %. Social isolation and loneliness were assessed using self-reported questionnaires. The study outcome was incident T2DM.

RESULTS

During a median follow-up of 12.5 years, 13,213 (3.7 %) incident T2DM cases were documented. Social isolation and loneliness in subjects with normoglycemia (adjusted HR [95 %CI]: social isolation: 1.14 [1.07;1.23]; loneliness: 1.33 [1.20;1.47]) were more strongly associated with increased risk of T2DM than in those with prediabetes (adjusted HR [95 %CI]: social isolation: 0.97 [0.91;1.03]; loneliness: 1.04 [0.95;1.13]) (Both P for interaction < 0.001). Among individuals with prediabetes, alcoholic consumption (30.9 %), household income (23.3 %), healthy sleep (17.1 %), loneliness (14.9 %), and physical activity (12.6 %) mediated most of the variance in the association between social isolation and incident T2DM, while body mass index (17.9 %) and healthy sleep (17.6 %) mediated most of the variance in the association between loneliness and incident T2DM.

CONCLUSION

Social isolation and loneliness were independently associated with a higher risk of T2DM among individuals without prediabetes. Among those with prediabetes, the association of social isolation and loneliness with incident T2DM were mainly mediated by some socioeconomic and lifestyle factors.

Advancing diabetes primary care education and knowledge in Nepal: A scoping review and case study discussion

AIMS

Diabetes mellitus (DM) is a chronic disorder of insulin and glucose metabolism. It affects more than 463 million people worldwide and is expected to reach 700 million by 2045. In the Southeast Asian region, the prevalence of DM has tripled to 115 million due to rapid urbanization, unhealthy diet, sedentary lifestyles, and genetic factors. In Nepal, a developing country, DM affects 8.5% of adults, with an alarming increase in recent years. Lack of diabetes education and limited populational adoption of behavioural changes further hamper care.

METHODS

In the present study, we performed a scoping review to determine the status of awareness, attitudes, and knowledge about diabetes in the Nepalese population with a focus on the educational initiatives that have been implemented. We also conducted a two-week international case study discussion among medical students to brainstorm viable intervention strategies.

RESULTS

Our findings indicate that limited data is available on the level of education or initiatives to improve knowledge and practice among healthcare professionals and community members. Targeted studies of people with diabetes also present heterogeneous results due to differences in the sample population, geographic location, education, age, and gender. Accordingly, we propose five interrelated education-based strategies that leverage existing networks to expand community outreach and engagement, improve system resilience, and improve health outcomes.

CONCLUSIONS

Effective education for healthcare professionals, community, and patients with diabetes is vital in improving diabetes outcomes in Nepal and South Asia. Collaboration, funding, and evaluation are key areas needing reform.

Social isolation, loneliness and subsequent risk of major adverse cardiovascular events among individuals with type 2 diabetes mellitus

Background

Individuals with type 2 diabetes mellitus (T2DM) are more vulnerable to social disconnection compared with the general population; however, there are few relevant studies investigating this issue.

Aims

To investigate whether social isolation or loneliness may be associated with subsequent risk of developing major adverse cardiovascular events, whether these associations vary according to fatal and non-fatal outcomes and how behavioural, psychological and physiological factors mediate these associations.

Methods

This longitudinal analysis included data from 19 360 individuals with T2DM at baseline (2006-2010) from the UK Biobank. Social isolation and loneliness were measured using self-report questionnaires. The study outcomes included the first events of myocardial infarction (MI) or stroke (n=2273) and all-cause (n=2820) or cardiovascular disease-related mortality through linked hospital data or death registries.

Results

Over a median follow-up of 12.4 years (interquartile range (IQR): 11.6-13.3 years), participants who were more socially isolated (most social isolation vs least social isolation) experienced increased risks for all-cause (hazard ratio (HR) : 1.33, 95% confidence interval (CI): 1.19 to 1.47) and cardiovascular disease (HR: 1.36, 95% CI: 1.17 to 1.59) mortality but not first MI or stroke. Loneliness (yes vs no) was associated with a greater risk for a composite of incident MI or stroke (HR: 1.37, 95% CI: 1.19 to 1.57) but not mortality. Social isolation was associated with fatal MI and stroke, whereas loneliness was associated with non-fatal MI and stroke. The significant associations of social isolation and loneliness with outcomes were mainly mediated by behavioural factors (mediating proportion: 17.8%-28.2% and 17.6%-17.8%, respectively).

Conclusions

Among individuals with T2DM, social isolation and loneliness are associated with a greater risk of developing major adverse cardiovascular events, with differences in both risks stratified according to fatal and non-fatal events and underlying mediating factors.

The Association of Loneliness with Diabetes Is Mediated by Physical Activity and BMI but Not Diet Quality

Loneliness is considered a predictor of poor health through numerous pathways. Mediators of this association has not been extensively explored. The study objective was to determine if diet quality and physical activity are parallel mediators with body mass index (BMI) as the third mediator in the association of loneliness with diabetes. The sample, middle-aged and older African American and White adults, 36-77 years, participated in the second follow-up wave of the prospective Healthy Aging in Neighborhoods of Diversity across the Life Span study, 2013-2017. Loneliness was measured by the UCLA 3-item loneliness scale. Participants were categorized as not diabetic, pre-diabetic, or diabetic based on fasting blood glucose, self-reports, or taking medication for diabetes. The Mean Healthy Eating Index-2010 score was calculated from two 24 h dietary recalls collected using the USDA automated multiple pass method. Physical activity was derived from the Baecke questionnaire. The Hayes PROCESS macro, model #80, was used to perform the mediational analysis. Covariates were age, sex at birth, race, income, alcohol intake, and education. Loneliness was inversely and significantly associated with diet quality and physical activity. The only significant indirect path was loneliness > physical activity > BMI > diabetes. Better understanding of modifiable lifestyle behaviors when developing interventions may improve mental health, thereby improving health.

Social isolation, loneliness, and incident type 2 diabetes mellitus: results from two large prospective cohorts in Europe and East Asia and Mendelian randomization

Background

Social isolation and loneliness pose significant public health challenges globally. The objective of this study is to investigate the association between social isolation, loneliness, and the risk of type 2 diabetes mellitus (T2DM).

Methods

423,503 UK adults from the UK Biobank (UKB) and 13,800 Chinese adults from the China Health and Retirement Longitudinal Study (CHARLS) were analyzed. The exposures of interest were social isolation and loneliness. Social isolation was evaluated based on the number of household members, frequency of social activities, contact with others, and marriage status (CHARLS only). Loneliness was evaluated by the subjective feeling of loneliness and the willingness to confide in others (UKB only). The primary endpoint was incident T2DM. The two-sample Mendelian randomization (MR) analysis was based on the genome-wide association studies of UKB (n = 463,010) and the European Bioinformatics Institute (n = 655,666).

Findings

The UKB cohort study documented 15,072 T2DM cases during a mean follow-up of 13.5 years, and the CHARLS cohort study recorded 1,249 T2DM cases during a mean follow-up of 5.8 years. Social isolation and loneliness showed significant associations with an elevated risk of T2DM in both UKB (social isolation [most vs least]: HR 1.17, 95% CI 1.11-1.23; loneliness [yes vs no]: HR 1.21, 95% CI 1.13-1.30) and CHARLS cohorts (social isolation [yes vs no]: HR 1.22, 95% CI 1.06-1.40; loneliness [yes vs no]: HR 1.21, 95% CI 1.07-1.36). These associations remained significant after accounting for baseline glucose status and genetic susceptibility to T2DM. Two-sample MR analyses determined that feeling lonely (OR 1.04, 95% CI 1.02-1.06) and engaging in fewer leisure/social activities (OR 1.03, 95% CI 1.02-1.05) were associated with increased T2DM risk, whereas more contact with friends or family (OR 0.99, 95% CI 0.98-0.99) was associated with reduced T2DM risk.

Interpretation

Social isolation and loneliness are each associated with an elevated risk of T2DM, with MR analyses suggesting potential causal links. These associations remain significant after considering genetic susceptibility to T2DM. The findings highlight the importance of promoting initiatives to address social isolation and loneliness as part of T2DM prevention strategies.

Funding

CAMS Innovation Fund for Medical Sciences (No. 2021-I2M-1-008) and National Natural Science Foundation of China (No. 72103187).

Social Isolation and Breast Cancer

Although the role of life stressors in breast cancer remains unclear, social isolation is consistently associated with increased breast cancer risk and mortality. Social isolation can be defined as loneliness or an absence of perceived social connections. In female mice and rats, social isolation is mimicked by housing animals 1 per cage. Social isolation causes many biological changes, of which an increase in inflammatory markers and disruptions in mitochondrial and cellular metabolism are commonly reported. It is not clear how the 2 traditional stress-induced pathways, namely, the hypothalamic-pituitary-adrenocortical axis (HPA), resulting in a release of glucocorticoids from the adrenal cortex, and autonomic nervous system (ANS), resulting in a release of catecholamines from the adrenal medulla and postganglionic neurons, could explain the increased breast cancer risk in socially isolated individuals. For instance, glucocorticoid receptor activation in estrogen receptor positive breast cancer cells inhibits their proliferation, and activation of β-adrenergic receptor in immature immune cells promotes their differentiation toward antitumorigenic T cells. However, activation of HPA and ANS pathways may cause a disruption in the brain-gut-microbiome axis, resulting in gut dysbiosis. Gut dysbiosis, in turn, leads to an alteration in the production of bacterial metabolites, such as short chain fatty acids, causing a systemic low-grade inflammation and inducing dysfunction in mitochondrial and cellular metabolism. A possible causal link between social isolation-induced increased breast cancer risk and mortality and gut dysbiosis should be investigated, as it offers new tools to prevent breast cancer.

Social exclusion in people with diabetes: cross-sectional and longitudinal results from the German Ageing Survey (DEAS)

As social exclusion can be linked to worse health and overall reduced quality of life, we describe social exclusion in people with diabetes and assess whether diabetes can be considered as a risk factor for social exclusion. We analyzed two waves (2014, 2017, N = 6604) from a survey of community-dwelling people aged > 40 using linear regression, group comparison and generalized estimating equations to explore the association between diabetes, social exclusion, socioeconomic, physical and psychosocial variables. In the entire cohort, diabetes was cross-sectionally associated with social exclusion after adjusting for covariates (p = 0.001). In people with diabetes, social exclusion was further associated with self-esteem (p < 0.001), loneliness (p =  < 0.001), income (p = 0.017), depression (p = 0.001), physical diseases (p = 0.04), and network size (p = 0.043). Longitudinal data revealed that higher levels of social exclusion were already present before the diagnosis of diabetes, and future social exclusion was predicted by self-esteem, loneliness, depression, and income, but not by diabetes (p = .221). We conclude that diabetes is not a driver of social exclusion. Instead, both seem to co-occur as a consequence of health-related and psychosocial variables.

Mitochondria: It is all about energy

Mitochondria play a key role in both health and disease. Their function is not limited to energy production but serves multiple mechanisms varying from iron and calcium homeostasis to the production of hormones and neurotransmitters, such as melatonin. They enable and influence communication at all physical levels through interaction with other organelles, the nucleus, and the outside environment. The literature suggests crosstalk mechanisms between mitochondria and circadian clocks, the gut microbiota, and the immune system. They might even be the hub supporting and integrating activity across all these domains. Hence, they might be the (missing) link in both health and disease. Mitochondrial dysfunction is related to metabolic syndrome, neuronal diseases, cancer, cardiovascular and infectious diseases, and inflammatory disorders. In this regard, diseases such as cancer, Alzheimer's, Parkinson's, amyotrophic lateral sclerosis (ALS), chronic fatigue syndrome (CFS), and chronic pain are discussed. This review focuses on understanding the mitochondrial mechanisms of action that allow for the maintenance of mitochondrial health and the pathways toward dysregulated mechanisms. Although mitochondria have allowed us to adapt to changes over the course of evolution, in turn, evolution has shaped mitochondria. Each evolution-based intervention influences mitochondria in its own way. The use of physiological stress triggers tolerance to the stressor, achieving adaptability and resistance. This review describes strategies that could recover mitochondrial functioning in multiple diseases, providing a comprehensive, root-cause-focused, integrative approach to recovering health and treating people suffering from chronic diseases.

The relationship between social isolation, social support, and loneliness with cardiovascular disease and shared risk factors: A narrative review

BACKGROUND

Cardiovascular disease (CVD) is the greatest contributor to global morbidity and mortality. Poor social health plays a critical role in CVD incidence. Additionally, the relationship between social health and CVD may be mediated through CVD risk factors. However, the underlying mechanisms between social health and CVD are poorly understood. Certain social health constructs (social isolation, low social support and loneliness) have complicated the characterisation of a causal relationship between social health and CVD.

AIM

To provide an overview of the relationship between social health and CVD (and its shared risk factors).

METHOD

In this narrative review, we examined published literature on the relationship between three social health constructs (social isolation, social support, and loneliness) and CVD. Evidence was synthesised in a narrative format, focusing on the potential ways in which social health affects CVD, including shared risk factors.

RESULTS

The current literature highlights an established relationship between social health and CVD with a likelihood for bi-directionality. However, there is speculation and varied evidence regarding how these relationships may be mediated through CVD risk factors.

CONCLUSIONS

Social health can be considered an established risk factor for CVD. However, the potential bi-directional pathways of social health with CVD risk factors are less established. Further research is needed to understand whether targeting certain constructs of social health may directly improve the management of CVD risk factors. Given the health and economic burdens of poor social health and CVD, improvements to addressing or preventing these interrelated health conditions would have societal benefits.