Social isolation and risk of heart disease and stroke: analysis of two large UK prospective studies

Evaluation of Changes in Social Isolation and Loneliness with Incident Cardiovascular Events and Mortality

BACKGROUND

It remains unknown how the patterns of change of social isolation and loneliness are associated with the onset of cardiovascular disease (CVD) and mortality. We aimed to investigate the longitudinal association of changes in social isolation and loneliness with incident CVD, all-cause mortality, CVD mortality and subsequent cardiac function.

METHODS

This prospective cohort study included 18,258 participants aged 38-73 years who participated in visit 0 (2006-2010) and visit 1 (2012-2013) using UK Biobank (mean age 57.1, standard deviation [SD] 7.4; 48.7% males). Social isolation or loneliness was categorized into four patterns: never, transient, incident, and persistent. Incident CVD, all-cause and CVD mortality were ascertained through linkage data. Cardiac function was assessed by cardiovascular magnetic resonance imaging in a subsample (N = 5188; visit 2, since 2014).

RESULTS

Over a median follow-up of 8.3 (interquartile range [IQR] 8.1-8.6) years, compared with never social isolation, persistent social isolation was associated with the higher risk of incident CVD (hazard ratio [HR] 1.17, 95% confidence interval [CI] 1.03-1.33), all-cause (1.42, 1.12-1.81) and CVD (1.53, 1.05-2.23) mortality. Likewise, persistent loneliness was strongly associated with the greater risk of incident CVD (1.13, 1.00-1.27), all-cause (1.28, 1.02-1.61) and CVD mortality (1.52, 1.06-2.18).

CONCLUSIONS

Persistent social isolation and loneliness posed a substantially higher risk for incident CVD, all-cause and CVD mortality, and cardiac dysfunction than other patterns. Persistent social isolation and loneliness, along with an increasing cumulative score, are associated with lower cardiac function.

Association of social health with all-cause mortality and cause-specific mortality: A population-based cohort study

BACKGROUND

Previous studies only focused on the individual social factors, without considering the overall social health patterns. The present study aimed to develop an integrated social health score (SHS) and investigate its associations with all-cause, cardiovascular disease (CVD), cancer mortality.

METHODS

A total of 330,716 participants (mean age 56.3 years; 52.4 % female) from UK Biobank was included between 2006 and 2010, and thereafter followed up to 2021. SHS was calculated by using information on social connections, social engagement and social support. Cox proportional hazards models was used to estimate the hazard ratios and 95 % confidence intervals (CIs) of the association between SHS and all-cause and cause-specific mortality and the 4-way decomposition was used to quantify the mediating effect of lifestyle factors.

RESULTS

During a median follow-up period of 12.4 years, 37,897 death cases were recorded, including 4347 CVD and 10,380 cancer cases. The SHS was inversely associated with the risks of all-cause, CVD and cancer mortality in a dose-dependent manner (P for trend <0.001). The association between SHS with all-cause mortality was mediated by lifestyle factors including diet score, smoking status and alcohol consumption.

CONCLUSION

Integrated SHS was inversely associated with risks of all-cause, CVD and cancer mortality, and the associations were partially mediated by lifestyle factors. Our study highlights the importance of maintaining high levels of social health by jointly enhancing social involvement, expanding social networks, and cultivating enduring intimate relationships across the life course.

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.

Social isolation and loneliness with risk of cardiometabolic multimorbidity: A prospective cohort study from UK Biobank

The pandemic of the coronavirus disease 2019 resulted in an increased prevalence of social isolation and loneliness. Cox proportional hazards regression was used to test the association between social isolation/loneliness, multiple cardiometabolic diseases (CMDs) and cardiometabolic multimorbidity (CMM). In the multivariable adjusted models, compared with the least isolated, the most isolated had independently associated with CMD (HR 1.07, 95% CI 1.03 to 1.11) and CMM (HR 1.24, 95% CI 1.12 to 1.36) in stage I, and CMM in stage II (HR 1.14, 95% CI 1.05 to 1.23). Compared with those with the least loneliness, those who with most loneliness had about 20% increased risk of CMD and 29% increased risk of CMM in stage I. Those with the most loneliness were also significantly associated with increased CMM risk (HR 1.30, 95% CI 1.19 to 1.42) in stage II. This study revealed the associations of social isolation/loneliness with CMD and CMM.

Social isolation and the risk of Parkinson disease in the UK biobank study

Parkinson disease (PD) has become one of the most rapidly growing causes of disability among the older population and social isolation is a major concern in the PD community. However, the relationship between social isolation and future risk of PD remains unclear. This study included 192,340 participants aged 60 or older who were free of dementia and PD at baseline from the UK Biobank study. Social isolation was measured using a composite score derived from three questions on number in household, frequency of friend/family visits, and leisure/social activities. Incident PD cases were identified through electronic health records. Multivariable-adjusted Cox regression models were used to compute the hazard ratio (HR) and 95% confidence interval (CI). Among the 192,340 participants (mean [standard deviation] age, 64.2 [2.9] years; 103,253 [53.7%] women), 89,075 (46.3%) participants were in the least isolated group and 26,161 (13.6%) were in the most isolated group. Over a median follow-up of 12.5 years, 2048 incident PD cases were documented. Compared to the least isolated group, the multivariable-adjusted HRs (95% CIs) for PD were 1.00 (0.91-1.10) for the moderately isolated group and 1.19 (1.05-1.36) for the most isolated group (P-trend = 0.04). The observed association was independent of the genetic susceptibility to PD and consistent in subgroup analyses. Social isolation was associated with a higher risk of PD regardless of genetic risk. Our findings highlighted the importance of developing screening and intervention strategies for social isolation among older adults to reduce the risk of PD.

Relationship between social isolation and glycaemic control of people previously diagnosed with diabetes: secondary analysis from the CHARLS

OBJECTIVES

Social isolation may affect diabetes self-management. This study aimed to explore the relations between social isolation and glycaemic control in patients with diabetes and to explore lifestyle differences among individuals with different levels of social isolation.

METHODS

The relevant data of 665 people previously diagnosed with diabetes included in the China Health and Retirement Longitudinal Study from 2011 to 2015 were extracted and analysed. The study included patient general information, blood glucose, lipids, glycosylated haemoglobin, social isolation index, health-related lifestyle factors and diabetes-related factors. Differences in metabolic abnormalities and modifiable lifestyles were compared among patients with varying levels of social isolation.

RESULTS

Multiple linear regression analysis demonstrated that among men aged 45-64 years, the high social isolation group had significantly higher glycosylated haemoglobin levels compared with the low isolation group (7.29±1.81 vs 6.59±1.63, p=0.026). A positive correlation was observed between social isolation and blood glucose (β=14.16; 95% CI 2.75 to 25.57; p=0.015) and glycosylated haemoglobin (β=0.35; 95% CI 0.10 to 0.60; p=0.006), indicating that higher social isolation was associated with higher fasting blood glucose and glycosylated haemoglobin levels. However, no significant associations were observed in other age groups. Notably, men aged 45-65 years with high social isolation had higher depression rates (44.10% vs 24.60%, p=0.024), lower engagement in moderate exercise (5.70% vs 23.50%, p=0.019) and shorter 10-minute walks (17.10% vs 36.80%, p=0.027). Differences in other health-related and diabetes-related factors were not statistically significant.

CONCLUSION

Middle-aged men with diabetes with higher social isolation tend to have higher blood glucose and glycosylated haemoglobin levels. This subset of patients requires targeted attention to provide social support from family and friends for improved glycaemic control. If necessary, education on diabetes should be made available to family members and friends.

Prospective cohort study evaluating the association between influenza vaccination and neurodegenerative diseases

The effect of influenza vaccination (FluVac) on the risk of neurodegenerative diseases has not been well evaluated in prospective populations. We aimed to assess the association between FluVac and the risk of dementia and Parkinson's disease (PD) in people aged 60 years or older through a prospective population-based cohort from the UK Biobank. A time-varying Cox regression model adjusted for baseline and repeatedly measured covariates was used to estimate the hazard ratio (HR) and 95% confidence interval (CI) of the association between influenza vaccination and risk of dementia/PD. We took into account 70,938 participants in the cohort, including 38,328 participants who got vaccinated. During a median follow-up period of 12.2 years, 2087 incident dementia cases occurred, including 281 cases who received FluVac and 1806 cases who were not vaccinated. In addition, 742 incident PD cases occurred, among whom 131 cases received FluVac and 611 PD cases did not receive FluVac. FluVac was associated with reduced dementia risk with an HR of 0.83 (95% CI, 0.72-0.95) but was not associated with PD incidence (HR = 1.07; 95% CI, 0.87-1.32) after controlling baseline and repeatedly measured covariates. Further, among all dementia cases, there were 733 Alzheimer's disease (AD) (94 vaccinated cases and 639 non-vaccinated cases), 307 vascular dementia (VD) (34 vaccinated cases and 273 non-vaccinated cases), and 1047 cases with other dementias (OD) (153 vaccinated cases and 894 non-vaccinated cases). The HRs for the associations between FluVac and AD, VD, and OD were 0.79 (95% CI, 0.63-1.00), 0.58 (95% CI, 0.39-0.86), and 0.94 (95% CI, 0.78-1.14) respectively. A dose-response relationship was found in the association between FluVac and dementia but not in the association with PD. A major limitation of the study is the low accuracy in the diagnosis of dementia subtypes, namely AD, VD, and OD. However, Results of sensitivity analyses were consistent with the primary analyses. In conclusion, influenza vaccination is significantly associated with a reduced risk of incident dementia but not PD in community-dwelling adults in the UK Biobank population.

Sedentary Behavior and Physical Frailty Among Rural Older Adults in China: The Moderating Effect of Social Isolation

OBJECTIVES

Few studies have explored the mechanisms underlying the relationship between sedentary behavior and physical frailty. The aim of this study was to investigate the moderating effect of social isolation on the association between sedentary behavior and physical frailty among older adults in rural China.

DESIGN

Cross-sectional study.

SETTING AND PARTICIPANTS

Data were from 3238 individuals aged ≥60 years from rural areas in China.

METHODS

Binary logistic regression was used to explore the association between sedentary behavior and physical frailty and the moderating effect of social isolation.

RESULTS

The prevalence of physical frailty was 18.7% among the older adults, and 17.0% of them were sedentary for ≥8 h/d. Compared with older adults with sedentary behavior for <4 h/d, participants with sedentary behavior for ≥8 h/d were more likely to suffer from physical frailty [odds ratio (OR), 2.26; 95% CI, 1.57-3.27]. We found that social isolation may aggravate this relationship (OR, 3.31; 95% CI, 2.06-5.32), especially for rural older adults who were sedentary for ≥8 h/day.

CONCLUSION AND IMPLICATIONS

More sedentary behavior was associated with higher risk of physical frailty, which was especially apparent among older adults with social isolation, suggesting that sedentary older people who experienced social isolation were more vulnerable to physical frailty. Decreasing sedentary behavior in older adults and encouraging them to participate in interactive social activities could help prevent physical frailty.

Depressive symptoms, lifestyle behaviors, and risk of cardiovascular disease and mortality in individuals of different socioeconomic status: A prospective cohort study

BACKGROUND

Depression is a global health issue, associated with increased risk of cardiovascular disease (CVD) and premature death, but whether the association varied across different socioeconomic status (SES), and mechanisms responsible for this association is unclear. We aimed to evaluate the association of depressive symptoms with the risk of incident CVD and mortality in people of low, medium, and high SES, and determine the extent to which lifestyle behaviors could explain the association.

METHODS

This study included 314,800 participants from the UK Biobank. Depressive symptoms were assessed using the Patient Health Questionnaire-2 (PHQ-2). Information on socioeconomic status and lifestyle was obtained from baseline assessment.

RESULTS

During 12 years of follow-up, 29,074 incident CVD cases and 16,673 deaths were documented. The increased CVD risk in participants with depressive symptoms (versus without) was more pronounced as SES decreased, with hazard ratios (HRs) and 95% confidence intervals (CIs) of 1.30 (1.22, 1.39), 1.27 (1.17, 1.37), and 1.17 (0.97, 1.41) in participants of low, medium, and high SES, respectively. The corresponding HRs (95% CIs) for all-cause mortality were 1.16 (1.07, 1.26), 1.21 (1.08, 1.36), and 1.24 (0.95, 1.61). In addition, multiple lifestyle factors together explained 14.4% to 32.8% of the elevated CVD and mortality risk due to depressive symptoms.

LIMITATIONS

Moderate sensitivity of PHQ-2, lacked information on the severity of depression, baseline measurement of lifestyle.

CONCLUSIONS

Depressive symptoms were associated with higher risks of incident CVD and mortality, especially in low SES groups, and lifestyle behaviors only explained a moderate proportion of the association. These findings indicated that health policies targeting healthy lifestyle promotion alone might not be sufficient, and other measures tackling social inequity are warranted to attenuate the elevated health risk due to depression.

Body composition, lifestyle, and depression: a prospective study in the UK biobank

BACKGROUND

Obesity has been related to depression and adhering healthy lifestyle was beneficial to lower the risk of depression; however, little is known about the relationship between body composition and fat distribution with depression risk and the influence of body composition and fat distribution on the association of lifestyle and depression. Therefore, we aimed to investigate whether body composition and fat distribution were associated with the adverse events of depression and the relationship between lifestyle and depression.

METHODS

We included 330,131 participants without depression at baseline in the UK Biobank (mean age, 56.9 years; 53.83% females). The assessment of depression was sourced from health outcomes across self-report, primary care, hospital inpatient data, and death data. Body composition was determined by bioelectrical impedance. Seven lifestyles (no current smoking, moderate alcohol consumption, regular physical activity, healthy diet, less sedentary behavior, healthy sleep pattern, and appropriate social connection) were used to generate a lifestyle score.

RESULTS

During a median of 11.7 years of follow-up, 7576 incident depression occurred. All the body composition measures were positively associated with depression risk, with the Hazard ratios (HR) for the uppermost tertile (T3) versus the lowest tertile (T1) ranging from 1.26 (95% CI: 1.15-1.39) for trunk fat-free mass (TFFM) to 1.78 (1.62-1.97) for leg fat percentage (LFP). In addition, we found significant interactions between fat mass-related indices, especially leg fat mass (LFM) (p = 1.65 × 10-9), and lifestyle score on the risk of depression, for which the beneficial associations of a healthy lifestyle with the risk of depression were more evident among participants with low body fat measurement.

CONCLUSIONS

High levels of body composition measures were associated with an increased depression risk. Adverse body composition measures may weaken the link between a healthy lifestyle and a reduced risk of depression.

Lifestyle and ADL Are Prioritized Factors Influencing All-Cause Mortality Risk Among Oldest Old: A Population-Based Cohort Study

To identify key factors affecting all-cause mortality in the elderly aged 80 years and above. Data from Chinese Longitudinal Healthy Longevity Survey (2011-2018) were utilized (N = 3993). A healthy lifestyle score was obtained by assigning 8 factors: smoking, drinking, exercise, sleep duration, social activity, waist circumference, BMI, and healthful plant-based diet index. Cox regression and decision tree model were used to identify factors influencing the mortality risk. Lifestyle and activities of daily living (ADL) were 2 of the most important modifiable factors influencing the mortality risk of the oldest seniors. A higher healthy lifestyle score was associated with lower mortality risk. The HR (95% CI) of death risk in Q2, Q3, and Q4 groups were 0.91 (0.81-1.01), 0.78 (0.71-0.86), and 0.64 (0.58-0.71), respectively, when compared with the Q1 group of healthy lifestyle score. Elderly with ADL disability had a higher mortality rate than those without ADL disability. When the elderly already have ADL disability, the healthier the lifestyle, the lower the mortality rate. Among individuals aged 80 to 89 years with ADL disability, the mortality rate was higher in the healthy lifestyle score Q1-Q2 groups (92.1%) than that in the Q3-Q4 groups (71.6%). Similar results were observed among subjects aged 90 to 99 years with ADL disability (Q1-Q2: 97.9%, Q3-Q4: 92.1%). For centenarians without ADL disability, maintaining a healthy lifestyle significantly reduced mortality (Q1-Q3: 90.5%, Q4: 75.5%). Caregivers should prioritize the consideration of lifestyle and ADL in their healthcare practices of the oldest old.

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.

Association of cardiometabolic multimorbidity and adherence to a healthy lifestyle with incident dementia: a large prospective cohort study

BACKGROUND

The co-occurrence of cardiometabolic diseases (CMDs) is increasingly prevalent and has been associated with an additive risk of dementia in older adults, but the extent to which this risk can be offset by a healthy lifestyle is unknown. We aimed to examine the associations of cardiometabolic multimorbidity and lifestyle with incident dementia and related brain structural changes.

METHODS

This prospective study extracted health and lifestyle data from 171 538 UK Biobank participants aged 60 years or older without dementia at baseline between 2006 and 2010 and followed up until July 2021, as well as brain structural data in a nested imaging subsample of 11 972 participants. Cardiometabolic multimorbidity was defined as the presence of two or more CMDs among type 2 diabetes, coronary heart disease, stroke, and hypertension. Lifestyle patterns were determined based on 7 modifiable lifestyle factors including smoking, alcohol consumption, physical activity, diet, sleep duration, sedentary behavior, and social contact.

RESULTS

Over a median follow-up of 12.3 years, 4479 (2.6%) participants developed dementia. The presence of CMDs was dose-dependently associated with an increased risk of dementia. Compared with participants with no CMDs and a favourable lifestyle, those with ≥ 3 CMDs and an unfavourable lifestyle had a five times greater risk of developing dementia (HR 5.33, 95% CI 4.26-6.66). A significant interaction was found between CMD status and lifestyle (Pinteraction=0.001). The absolute difference in incidence rates of dementia per 1000 person years comparing favourable versus unfavourable lifestyle was - 0.65 (95% CI - 1.02 to - 0.27) among participants with no CMDs and - 5.64 (- 8.11 to - 3.17) among participants with ≥ 3 CMDs, corresponding to a HR of 0.71 (0.58-0.88) and 0.42 (0.28-0.63), respectively. In the imaging subsample, a favourable lifestyle was associated with larger total brain, grey matter, and hippocampus volumes across CMD status.

CONCLUSION

Our findings suggest that adherence to a healthy lifestyle might substantially attenuate dementia risk and adverse brain structural changes associated with cardiometabolic multimorbidity.

A systematic review and meta-analysis of 90 cohort studies of social isolation, loneliness and mortality

The associations between social isolation, loneliness and the risk of mortality from all causes, cardiovascular disease (CVD) and cancer are controversial. We systematically reviewed prospective studies on the association between social isolation, loneliness and mortality outcomes in adults aged 18 years or older, as well as studies on these relationships in individuals with CVD or cancer, and conducted a meta-analysis. The study protocol was registered with PROSPERO (reg. no. CRD42022299959). A total of 90 prospective cohort studies including 2,205,199 individuals were included. Here we show that, in the general population, both social isolation and loneliness were significantly associated with an increased risk of all-cause mortality (pooled effect size for social isolation, 1.32; 95% confidence interval (CI), 1.26 to 1.39; P < 0.001; pooled effect size for loneliness, 1.14; 95% CI, 1.08 to 1.20; P < 0.001) and cancer mortality (pooled effect size for social isolation, 1.24; 95% CI, 1.19 to 1.28; P < 0.001; pooled effect size for loneliness, 1.09; 95% CI, 1.01 to 1.17; P = 0.030). Social isolation also increased the risk of CVD mortality (1.34; 95% CI, 1.25 to 1.44; P < 0.001). There was an increased risk of all-cause mortality in socially isolated individuals with CVD (1.28; 95% CI, 1.10 to 1.48; P = 0.001) or breast cancer (1.51; 95% CI, 1.34 to 1.70; P < 0.001), and individuals with breast cancer had a higher cancer-specific mortality owing to social isolation (1.33; 95% CI, 1.02 to 1.75; P = 0.038). Greater focus on social isolation and loneliness may help improve people's well-being and mortality risk.

Association between Mobile Phone Use and Incidence of Dementia: A Prospective Cohort Study Using the UK Biobank

INTRODUCTION

The rapid growth in mobile phone use has led to public concern about its potential effects on the risk of dementia. This study aimed to investigate the association between mobile phone use in daily life and the risk of dementia incidence in community-dwelling adults based on the data from the UK Biobank.

METHODS

Participants in the UK Biobank aged 60 years or older with no diagnosis of dementia at the time of recruitment were included in this prospective cohort study. A Cox regression model adjusted for sociodemographic characteristics, general health factors, mental health, lifestyle factors, comorbidities, and medication use was used to estimate the hazard ratio (HR) and confidence interval (CI) of the association between mobile phone use and dementia risk.

RESULTS

The final analyses included 213,181 participants. During a median follow-up period of 12.4 years, 6,344 cases of incident dementia occurred. Mobile phone use displayed a modest association with lower risk of dementia incidence, with HRs of 0.85 (95% CI: 0.79-0.91), 0.85 (95% CI: 0.80-0.91), 0.78 (95% CI: 0.71-0.86), 0.86 (95% CI: 0.77-0.96), and 0.83 (95% CI: 0.70-0.98) for participants who reported phone call usage of fewer than 5 min, 5-29 min, 30-59 min, 1-3 h, and more than 3 h per week, respectively, compared with nonusers. In addition, the proportions of the association medicated by family/friend visits and other leisure/social activities were 2.62% (95% CI: -0.64-6.51) and 2.22% (95% CI: 1.12-4.12), respectively.

CONCLUSIONS

Daily mobile phone use is significantly associated with a reduced risk of incident dementia in community-dwelling adults in the UK Biobank population. This association seems to be mediated by improved social and mental activities.

Joint association of loneliness and traditional risk factor control and incident cardiovascular disease in diabetes patients

AIMS

To investigate the prospective associations of the loneliness and social isolation scales with cardiovascular disease (CVD) risk in diabetes patients and compare the relative importance of loneliness and social isolation with traditional risk factors. Also, the interactions of loneliness or isolation with the degree of risk factor control in relation to CVD risk were evaluated.

METHODS AND RESULTS

A total of 18 509 participants diagnosed with diabetes from the UK Biobank were included. A two-item scale and a three-item scale were used to assess loneliness and isolation levels, respectively. The degree of risk factor control was defined as numbers of glycated hemoglobin (HbA1c), blood pressure (BP), low-density lipoprotein cholesterol (LDL-C), smoking, and kidney condition controlled within the target range. During a mean follow-up of 10.7 years, 3247 total CVD incidents were documented, including 2771 coronary heart disease and 701 strokes. In the fully adjusted model, compared with participants with the lowest loneliness score (zero), hazard ratios (95% confidence interval) for CVD were 1.11 (1.02 and 1.20) and 1.26 (1.11 and 1.42) for participants with a loneliness scale of 1 and 2, respectively (P-trend < 0.001). No significant associations were observed for social isolation. Loneliness ranked higher in relative strength for predicting CVD than the lifestyle risk factors in diabetes patients. A significant additive interaction between loneliness and the degree of risk factor control on the risk of CVD was observed (P for additive interaction = 0.005).

CONCLUSION

Among diabetes patients, loneliness, but not social isolation scale, is associated with a higher risk of CVD and shows an additive interaction with the degree of risk factor control.

Persistence of social isolation and mortality: 10-year follow-up of the Guangzhou Biobank Cohort study

Although social isolation has been associated with higher mortality risk, the associations of persistence of social isolation with mortality are unclear. We investigated the prospective associations of intermittent and persistent social isolation with all-cause and cause-specific mortality, considering the social contact types (face-to-face and non-face-to-face). 30,518 participants were recruited in 2003-2008 initially and 18,104 participants with re-assessed social isolation information in 2008-2012 were followed up to Dec 2019 in Guangzhou Biobank Cohort Study (GBCS). During an average of 9.7 years of follow-up, 2,119 deaths occurred. The isolation at baseline survey, isolation at second survey and persistent isolation were positively associated with all-cause mortality in the minimal adjusted model (adjusted hazard ratio (AHR) =1.24, 95% CI 1.12-1.38, 1.11, 1.00-1.23 and 1.23, 1.05-1.43, respectively). Totally 47.2% of the risk was explained by health status, SEP, and biological, behavioural and psychological factors. Persistent isolation from face-to-face with co-inhabitants, versus no isolation, was associated with higher risks of all-cause (HR=1.40, 1.09-1.81) and CVD (subdistribution hazard ratio (SHR)=1.92, 1.31-2.81) mortality in fully adjusted model. Our study showed that intermittent and persistent isolation were generally associated with higher risks of mortality, and the risks were even higher in those with persistent face-to-face isolation with co-inhabitants.

Association of Social Isolation and Loneliness With Incident Heart Failure in a Population-Based Cohort Study

BACKGROUND

Social isolation and loneliness have emerged as important risk factors for cardiovascular diseases, particularly during the coronavirus disease pandemic. However, it is unclear whether social isolation and loneliness had independent and joint associations with incident heart failure (HF).

OBJECTIVES

This study sought to examine the association of social isolation, loneliness, and their combination with incident HF.

METHODS

The UK Biobank study is a population-based cohort study. Social isolation and loneliness were assessed using self-reported questionnaires. HF cases were identified by linking hospital records and death registries. The weighted polygenic risk score associated with HF was calculated.

RESULTS

Among the 464,773 participants (mean age: 56.5 ± 8.1 years, 45.3% male), 12,898 incident HF cases were documented during a median follow-up of 12.3 years. Social isolation (most vs least: adjusted HR: 1.17; 95% CI:1.11-1.23) and loneliness (yes vs no: adjusted HR: 1.19; 95% CI: 1.11-1.27) were significantly associated with an increased risk of incident HF. The association between an elevated risk of HF and social isolation was modified by loneliness (P_interaction = 0.034). A gradient of association between social isolation and the risk of incident HF was found only among individuals without loneliness (P_trend < 0.001), but not among those with loneliness (P_trend = 0.829). These associations were independent of the genetic risk of HF.

CONCLUSIONS

Social isolation and loneliness were independently associated with a higher likelihood of incident HF regardless of genetic risk. The association between social isolation and incident HF was potentially modified by loneliness status.

Association between Social Isolation and Loneliness with Estimated Atherosclerotic Cardiovascular Disease Risk in a UK Biobank Population-Based Study

OBJECTIVE

The association of cardiovascular (CV) risk with social isolation and loneliness remains poorly studied. The purpose of this cross-sectional study was to investigate the associations between social isolation and loneliness with estimated 10-year atherosclerotic cardiovascular disease (ASCVD) risk.

METHODS

Among 302,553 volunteers of the UK Biobank population, social isolation and loneliness were assessed with a questionnaire. Associations between social isolation and loneliness with ASCVD risk were estimated using multiple gender regressions.

RESULTS

Men presented a higher estimated 10-year ASCVD risk (8.63% vs. 2.65%, p < 0.001) and higher proportions of social isolation (9.13% vs. 8.45%, p < 0.001) and loneliness (6.16% vs. 5.57%, p < 0.001) than women. In all covariate-adjusted models, social isolation was associated with an increased ASCVD risk in men (B = 0.21 (0.16; 0.26), p < 0.001) and women (B = 0.12 (0.10; 0.14), p < 0.001). Loneliness was associated with an increased ASCVD risk in men (B = 0.08 (0.03; 0.14), p = 0.001) but not in women (p = 0.217). A significant interaction was observed between social isolation and loneliness with ASCVD risk in men (p = 0.009) and women (p = 0.016). After adjustment for all covariates, both social isolation and loneliness were significantly associated with ASCVD risk in men (B = 0.44 (0.28; 0.61), p < 0.001) and women (B = 0.20 (0.12; 0.29), p < 0.001).

CONCLUSION

Social isolation was associated with a higher estimated 10-year ASCVD risk in both genders but only loneliness among men. Social isolation and loneliness can be considered potential added risk factors for CV risk. Health policies should address these notions in prevention campaigns, in addition to traditional risk factors.

Loneliness, Social Isolation, and Living Alone Associations With Mortality Risk in Individuals Living With Cardiovascular Disease: A Systematic Review, Meta-Analysis, and Meta-Regression

OBJECTIVE

This study aimed to conduct a systematic review and meta-analysis of associations between loneliness, social isolation, and living alone and risk of mortality among individuals with established cardiovascular disease.

METHODS

Five electronic databases were searched (MEDLINE [Ovid], PsycINFO, EMBASE, PubMed, and SCOPUS) from inception to November 25, 2021. In all, 35 studies were included in a narrative synthesis and, where appropriate, a meta-analytic evaluation using a random-effects model.

RESULTS

Living alone was associated with increased risk of all-cause mortality ( k = 15, n = 80,243, hazard ratio [HR] = 1.48, 95% confidence interval [CI] = 1.20-1.83, I2 = 83%), and meta-regressions found that the effects were stronger in studies from Europe and with longer follow-up. However, there was evidence of publication bias. Social isolation was associated with increased risk of all-cause mortality, measured both as a dichotomous variable ( k = 3, n = 2648, HR = 1.46, 95% CI = 1.08-2.04, I2 = 31%) and as a continuous variable ( k = 5, n = 2388, HR = 1.11, 95% CI = 1.02-1.24, I2 = 51%). Meta-analysis was not feasible for loneliness as exposure, but narrative synthesis of four studies suggested a tentative association between loneliness and increased risk of all-cause mortality.

CONCLUSIONS

Supporting public health concerns, our review finds that loneliness, social isolation, and living alone are associated with premature mortality among individuals with established cardiovascular disease. However, evidence of publication bias and large methodological differences across studies point to the need for more rigorous research.

Social isolation, socioeconomic status, and development of functional impairments in Chinese older adults aged 70 years and over: a cohort study

BACKGROUND

Social isolation in older people has been increasingly regarded as a public health issue in the face of rapid population ageing. It is not clear whether social isolation mediates the relationship between socioeconomic status and functional impairment.

METHODS

We used data from a cohort of Chinese older people aged 70 or older living in community (n = 1590). Socioeconomic status (SES) was operationalised as highest education attainment, monthly income at baseline and longest held occupation in lifetime. Functional abilities were measured using Barthel's Index for activities of daily living (ADL) measured at 18 and 36 months of follow-up, from which impairment was defined as score ≤ 19. Social isolation was measured by six attributes, such as marital status, living alone, and social contact with others. A score of ≥ 3 was defined as being in social isolation. Causal mediation analysis using natural effect models was used to assess mediation by social isolation.

RESULTS

We found that lower monthly income at baseline was related to higher risk of social isolation [relative risk comparing lowest to highest income (RR) = 1.52, 95% confidence interval (95% CI) 1.01-2.28]. Social gradient of ADL impairment was not clearly present. The evidence for the mediating role of social isolation was not clear.

CONCLUSIONS

Older people with low SES, particularly those with lower income, were at greater risk of social isolation. Policymakers should strive to improve the current community services and pension scheme to mitigate the situation of social isolation in older people in Hong Kong.

COVID-19-related social isolation and symptoms of depression and anxiety in young men in Poland: Does insomnia mediate the relationship?

The need for physical distancing due to COVID-19 mitigation efforts forced prolonged social isolation, which may affect sleep and lead to mental health problems. Previous research has shown that young adults are particularly vulnerable to psychological stress caused by social isolation, the negative psychological impact of the pandemic, and greater frequency and severity of sleep problems. Therefore, the main goal of the present study was to examine whether insomnia could constitute a mediation mechanism that explains the relationship between social isolation experienced during the COVID-19 pandemic and mental health outcomes (depression and anxiety) reported up to 1.5 years later. The study was conducted among young (M±SD; 24.08±3.75) men (N = 1025) in Poland. Data were collected by means of self-report questionnaires, including The Social Isolation Index, The Athens Insomnia Scale, The State-Trait Anxiety Inventory (STAI-S) and Beck's Depression Inventory (BDI-II). The results show that insomnia mediates the relationships between social isolation and both anxiety and depression. The current findings emphasize the role of insomnia in the relationships between social isolation experienced during COVID-19 and negative emotional states. From a clinical perspective, the results suggest that implementing therapeutic components that address social isolation in insomnia treatment programs may prevent the development of depression and anxiety symptoms among young men.

Association of Combined Healthy Lifestyle Factors With Incident Dementia in Patients With Type 2 Diabetes

BACKGROUND AND OBJECTIVES

Type 2 diabetes and lifestyle factors have been associated with dementia risk, but the effect of a healthy lifestyle on diabetes-related dementia remains largely unknown. We aimed to investigate whether the increased risk of dementia among individuals with diabetes can be offset by a broad combination of healthy lifestyle factors.

METHODS

This prospective study used data from the UK Biobank cohort. An overall lifestyle score ranging from 0 to 7 was created, with 1 point for each of the 7 healthy lifestyle factors: no current smoking, moderate alcohol consumption, regular physical activity, healthy diet, adequate sleep duration, less sedentary behavior, and frequent social contact. Incident dementia was ascertained using linkage with electronic health records. Cox proportional hazards models were used to examine the associations between diabetes, healthy lifestyle score, and dementia incidence.

RESULTS

We included 167,946 participants aged 60 years or older without dementia at baseline (mean age 64.1 [SD 2.8] years, 51.7% female). During a median follow-up of 12.3 years, 4,351 developed all-cause dementia. Participants with diabetes, but not those with prediabetes, showed a higher risk of dementia than those with normoglycemia. Compared with diabetes-free participants who had a lifestyle score of 7, the hazard ratios (HRs) for dementia were 4.01 (95% CI 3.06-5.25) and 1.74 (95% CI 1.11-2.72) for those with diabetes who had a lifestyle score of 0-2 and 7, respectively. Among participants with diabetes, the HR for dementia comparing a lifestyle score of 7 vs 0-2 was 0.46 (95% CI 0.28-0.75). This finding corresponded to a reduction in the 10-year absolute risk of dementia from 5.22% (95% CI 3.94%-6.73%) to 1.72% (95% CI 0.92%-2.97%). The association between higher lifestyle score and lower dementia risk was independent of glycemic control and diabetes medication.

DISCUSSION

Adherence to a broad range of healthy lifestyle factors was associated with a significantly lower risk of dementia among participants with diabetes. Behavioral lifestyle modification through multifactorial approaches should be a priority for prevention and delayed onset of dementia in patients with diabetes.

Social Isolation and Implementation of Advanced Care Planning Among Hospitalized Patients With Heart Failure

Background

The implementation of advance care planning (ACP) in heart failure management is insufficient. Social isolation (SI) could be a barrier to ACP initiation, albeit the relationship between SI and patients' preference for ACP or end‐of‐life care remains unknown.

Methods and Results

We conducted a questionnaire survey, including assessments of SI using the 6‐item Lubben Social Network Scale as well as patients' perspectives on ACP and end‐of‐life care. Of the 160 patients approached by our multidisciplinary heart failure team during admission, 120 patients (75.0%) completed the survey (median age, 73.0 years; men, 74.2%). A Cox proportional hazard model was constructed to elucidate the short‐term (180‐day) prognostic impact of SI. Overall, 28.3% of participants were at high risk for SI (6‐item Lubben Social Network Scale score <12). High‐risk patients had more negative attitudes toward ACP than those without (61.8% versus 80.2%; P =0.035). The actual performance of ACP conversation in patients with and without high risk were 20.6% and 30.2%, respectively. Regarding preference in end‐of‐life care, “Saying what one wants to tell loved ones” (73.5% versus 90.6%; P =0.016) and “Spending enough time with family” (58.8% versus 77.9%; P =0.035) were less important in high‐risk patients. High risk for SI was associated with higher 180‐day risk‐adjusted all‐cause mortality (hazard ratio, 7.89 [95% CI, 1.53–40.75]).

Conclusions

In hospitalized patients with heart failure, high risk for SI was frequently observed. High‐risk patients were associated with a negative attitude toward ACP, despite higher mortality. Further research is required to establish an ideal approach to provide ACP in socially vulnerable patients.

Social Isolation, Hospitalization, and Deaths from Cardiovascular Diseases during the COVID-19 Epidemic in São Paulo Metropolitan Area in 2020

BACKGROUND

The COVID-19 epidemic overloaded the São Paulo metropolitan area (SPMA) health system in 2020. The leading hospitals directed their attention to patients with COVID-19. At the same time, the SPMA Health Secretary decreed social isolation (SI), which compromised the care for cardiovascular diseases (CVD), even though higher cardiovascular events were expected.

METHODS

This study analyzed mortality from CVD, ischemic heart disease (IHD), and stroke, along with hospital admissions for CVD, IHD, stroke, and SI in the SPMA in 2020. Data regarding hospitalization and mortality from CVD were obtained from the SPMA Health Department, and data regarding SI was obtained from the São Paulo Intelligent Monitoring System. Time-series trends were analyzed by linear regression, as well as comparisons between these trends.

RESULTS

there was an inverse correlation between SI and hospitalizations for CVD (R² = 0.70; p < 0.001), IHD (R² = 0.70; p < 0.001), and stroke (R² = 0.39; p < 0.001). The most significant hospitalization reduction was from March to May, when the SI increased from 43.07% to 50.71%. The increase in SI was also associated with a reduction in CVD deaths (R² = 0.49; p < 0.001), IHD (R² = 0.50; p < 0.001), and stroke (R² = 0.26; p < 0.001).

CONCLUSIONS

Increased social isolation was associated with reduced hospitalizations and deaths from CVD, IHD, and stroke.

Association of a Healthy Lifestyle with All-Cause, Cause-Specific Mortality and Incident Cancer among Individuals with Metabolic Syndrome: A Prospective Cohort Study in UK Biobank

This study investigated the association between a healthy lifestyle with all-cause, cause-specific mortality, and cancer incidence among individuals with metabolic syndrome (MetS). Healthy lifestyle scores were created based on MetS management guidelines, including never/quitting smoking, moderate drinking, good sleep, healthy diet, sufficient exercise, social support, and less sedentary behaviour. Weighted healthy lifestyle scores were further constructed and classified into three groups: unfavourable (lowest quintile), intermediate (quintiles 2−4), and favourable (highest quintile) lifestyles. We included 87,342 MetS participants from the UK Biobank. Hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated using multivariate-adjusted Cox proportional hazards regression. During a median follow-up of 12.54 years, 6739 deaths were reported; during a median follow-up of 10.69 years, 10,802 new cancer cases were documented. We found a favourable lifestyle was inversely associated with all-cause mortality (HR: 0.57; 95%CI: 0.53−0.62), cause-specific mortality from respiratory disease, cancer, digestive disease, cardiovascular disease (HR < 1; p-trend < 0.001), and overall cancer incidence (HR: 0.84; 95% CI: 0.79−0.90). Our results indicate that adherence to healthy lifestyles is associated with lower overall cancer incidence and all-cause mortality risk among MetS individuals. However, causality cannot be made due to the nature of observational studies.

Effects of Objective and Perceived Social Isolation on Cardiovascular and Brain Health: A Scientific Statement From the American Heart Association

Background Social isolation, the relative absence of or infrequency of contact with different types of social relationships, and loneliness (perceived isolation) are associated with adverse health outcomes. Objective To review observational and intervention research that examines the impact of social isolation and loneliness on cardiovascular and brain health and discuss proposed mechanisms for observed associations. Methods We conducted a systematic scoping review of available research. We searched 4 databases, PubMed, PsycInfo, Cumulative Index of Nursing and Allied Health, and Scopus. Findings Evidence is most consistent for a direct association between social isolation, loneliness, and coronary heart disease and stroke mortality. However, data on the association between social isolation and loneliness with heart failure, dementia, and cognitive impairment are sparse and less robust. Few studies have empirically tested mediating pathways between social isolation, loneliness, and cardiovascular and brain health outcomes using appropriate methods for explanatory analyses. Notably, the effect estimates are small, and there may be unmeasured confounders of the associations. Research in groups that may be at higher risk or more vulnerable to the effects of social isolation is limited. We did not find any intervention studies that sought to reduce the adverse impact of social isolation or loneliness on cardiovascular or brain health outcomes. Conclusions Social isolation and loneliness are common and appear to be independent risk factors for worse cardiovascular and brain health; however, consistency of the associations varies by outcome. There is a need to develop, implement, and test interventions to improve cardiovascular and brain health for individuals who are socially isolated or lonely.

Social isolation transitions and psychological distress among older adults in rural China: A longitudinal study before and during the COVID-19 pandemic

BACKGROUND

The COVID-19 pandemic could increase the number of older adults who are socially isolated including community-dwelling older adults, and result in the secondary damage of mental health. This study aimed to examine the longitudinal association between social isolation transitions and psychological distress among the community-dwelling older adults before and during the COVID-19 pandemic in rural China.

METHODS

A total of 2749 community-dwelling older adults aged 60 years and older in rural Shandong, China were included. We used the generalized estimating equations (GEE) model to estimate the impact of social isolation transitions on psychological distress before and during the COVID-19 pandemic.

RESULTS

The percentage of high and very high psychological distress (K10 ≥ 22) was 23.54% and 31.36% before and during the COVID-19 pandemic, respectively, indicating a 7.82% increase (P < 0.001). Compared with the group remaining nonisolated, "became socially isolated" and "remained isolated" groups were more likely to have a deterioration of psychological distress after experiencing the COVID-19 pandemic (became socially isolated: b = 0.92, P < 0.001; remained isolated: b = 0.98, P < 0.001).

LIMITATIONS

The main variables in this study were measured by self-report information, which might result in recall bias.

CONCLUSIONS

During the COVID-19 pandemic, psychological distress increased among the community-dwelling older adults in rural China. There was a significant risk of psychological distress among those who had transitioned from nonisolation before the pandemic to social isolation after experiencing the pandemic, thus intervention on social isolation process during the pandemic may be important to protect older adults' mental health.

Loneliness among older adults in Europe: The relative importance of early and later life conditions

The aim of this paper is to study the association between childhood circumstances and loneliness in older adults in Europe. Based on rich information collected by the Survey on Health, Ageing, and Retirement in Europe (SHARE) on childhood characteristics and individual characteristics at age 50+, the study is able to control for personality traits, socioeconomic and demographic factors, social support and health in later life, and country-specific characteristics. The analyses show strong correlations between life circumstances in childhood and feeling lonely in older age; these correlations remain significant after adjusting for covariates. While ill health is the main factor correlated with loneliness at 50+, as expected, the analysis of the relative importance of the determinants reveals that personality traits account for more than 10% of the explained variance and that life circumstances during childhood account for 7%. Social support at older ages is the second highest category of factors, accounting for 27%-with, interestingly, support at home and social network characteristics contributing about 10% each, engaging in activities and computer skills accounting for 7% of the explained variance. Demographic and socioeconomic factors account for 6% and country-level characteristics contribute 5%. This paper points out the relevance of early life interventions to tackling loneliness in older age, and it shows that early interventions and interventions aiming at increasing social support in later life need to be adapted to all personality types. Thus, the role of childhood circumstances and the mechanisms explaining the association between loneliness in childhood and loneliness in later life deserve more attention in future research.

Associations of face-to-face and non-face-to-face social isolation with all-cause and cause-specific mortality: 13-year follow-up of the Guangzhou Biobank Cohort study

BACKGROUND

Although social isolation has been associated with a higher mortality risk, little is known about the potential different impacts of face-to-face and non-face-to-face isolation on mortality. We examined the prospective associations of four types of social isolation, including face-to-face isolation with co-inhabitants and non-co-inhabitants, non-face-to-face isolation, and club/organization isolation, with all-cause and cause-specific mortality separately.

METHODS

This prospective cohort study included 30,430 adults in Guangzhou Biobank Cohort Study (GBCS), who were recruited during 2003-2008 and followed up till Dec 2019.

RESULTS

During an average of 13.2 years of follow-up, 4933 deaths occurred during 396,466 person-years. Participants who lived alone had higher risks of all-cause (adjusted hazard ratio (AHR) 1.24; 95% confidence interval (CI) 1.04-1.49) and cardiovascular disease (CVD) (1.61; 1.20-2.03) mortality than those who had ≥ 3 co-habitant contact after adjustment for thirteen potential confounders. Compared with those who had ≥ 1 time/month non-co-inhabitant contact, those without such contact had higher risks of all-cause (1.60; 1.20-2.00) and CVD (1.91; 1.20-2.62) mortality. The corresponding AHR (95% CI) in participants without telephone/mail contact were 1.27 (1.14-1.42) for all-cause, 1.30 (1.08-1.56) for CVD, and 1.37 (1.12-1.67) for other-cause mortality. However, no association of club/organization contact with the above mortality and no association of all four types of isolation with cancer mortality were found.

CONCLUSIONS

In this cohort study, face-to-face and non-face-to-face isolation were both positively associated with all-cause, CVD-, and other-cause (but not cancer) mortality. Our finding suggests a need to promote non-face-to-face contact among middle-aged and older adults.

Change in Hospitalizations and 30-Day Mortality of Patients With Acute Myocardial Infarction During the First COVID-19 Lockdown - A Pure Social Isolation Effect?

BACKGROUND

The COVID-19 pandemic has had diverse effects on population health and psychology in relation to non-COVID-19 diseases, as well as on COVID-19 infection. Fewer patients with acute myocardial infarction (AMI) sought medical attention during the first lockdown of the pandemic.

METHODS AND RESULTS

We conducted a retrospective cohort study of Clalit Health Services patients treated in multiple hospitals for AMI. We examined the numbers and characteristics of the patients and 30-day mortality during three 5-week phases of the first wave of the COVID-19 pandemic in Israel: pre-lockdown (N = 702), lockdown (N = 584), and lockdown-lift (N = 669). We compared data for the same period in 2018 and 2019. We stratified the data by ST-elevation myocardial infarction (STEMI) and non-STEMI. AMI hospitalizations during the lockdown were 17% lower than in the pre-lockdown period (rate ratio-0.83, 95% CI 0.74-0.93), and 22% and 31% lower than in the corresponding periods in 2018 and 2019, respectively. The reduction was mainly attributed to non-STEMI hospitalizations (26% lower than the pre-lockdown period in 2020). Hospitalizations due to both STEMI and non-STEMI were moderately reduced during the post-lockdown period compared to the corresponding periods in 2018 and 2019. Thirty-day mortality rate was similar for all the periods assessed.

CONCLUSIONS

The number of hospitalized patients with AMI during the first COVID-19 lockdown and post-lockdown periods was significantly reduced, without significant changes in 30-day mortality rates.

Association of a Healthy Lifestyle With All-Cause and Cause-Specific Mortality Among Individuals With Type 2 Diabetes: A Prospective Study in UK Biobank

OBJECTIVE

To evaluate the association of a healthy lifestyle, involving seven low-risk factors mentioned in diabetes management guidelines (no current smoking, moderate alcohol consumption, regular physical activity, healthy diet, less sedentary behavior, adequate sleep duration, and appropriate social connection), with all-cause and cause-specific mortality among individuals with type 2 diabetes.

RESEARCH DESIGN AND METHODS

This study included 13,366 participants with baseline type 2 diabetes from the UK Biobank free of cardiovascular disease (CVD) and cancer. Lifestyle information was collected through a baseline questionnaire.

RESULTS

During a median follow-up of 11.7 years, 1,561 deaths were documented, with 625 from cancer, 370 from CVD, 115 from respiratory disease, 81 from digestive disease, and 74 from neurodegenerative disease. In multivariate-adjusted model, each lifestyle factor was significantly associated with all-cause mortality, and hazard ratios associated with the lifestyle score (scoring 6-7 vs. 0-2 unless specified) were 0.42 (95% CI 0.34, 0.52) for all-cause mortality, 0.57 (0.41, 0.80) for cancer mortality, 0.35 (0.22, 0.56) for CVD mortality, 0.26 (0.10, 0.63) for respiratory mortality, and 0.28 (0.14, 0.53) for digestive mortality (scoring 5-7 vs. 0-2). In the population-attributable risk analysis, 29.4% (95% CI 17.9%, 40.9%) of deaths were attributable to a poor lifestyle (scoring 0-5). The association between a healthy lifestyle and all-cause mortality was consistent, irrespective of factors reflecting diabetes severity (diabetes duration, glycemic control, diabetes-related microvascular disease, and diabetes medication).

CONCLUSIONS

A healthy lifestyle was associated with a lower risk of all-cause mortality and mortality due to CVD, cancer, respiratory disease, and digestive disease among individuals with type 2 diabetes.

Mediation analysis of social isolation and mortality by health behaviors

Social isolation associated with greater risk for mortality is well documented, however, it is unclear whether and the extent to which social isolation influences mortality through health behaviors. We therefore assessed the mediation between social isolation and mortality by health behaviors. 15,000 adults ages 18-89 years in the Third National Health and Nutrition Examination Survey in the US (NHANES III) (1988-1994) were followed through 2015. The outcomes of overall and cause-specific mortality were assessed by linking with the National Death Index. Social isolation was based on a modified Social Network Index. Mediation analyses were conducted under the counterfactual framework. Compared with participants who were not socially isolated, those who were isolated had significantly increased risk for overall mortality (HR = 1.33, 95% CI: 1.15-1.54), cardiovascular disease (CVD)-specific mortality (HR = 1.28, 95% CI: 1.01-1.62) and mortality from causes other than CVD or cancer (HR = 1.53, 95% CI: 1.22-1.90). Social isolation was not independently associated with risk for cancer-specific mortality. The association between social isolation and cancer-specific mortality was largely (74%) mediated by health behaviors, including smoking, physical activity and quality of diet. The associations between social isolation and CVD or other specific mortality were partly (about one-fifth) explained by unhealthy behaviors. In conclusion, the extent to which social isolation and mortality was mediated by healthy behaviors varies by causes of death. Given mounting evidence that social isolation is increasing in society, it is important to add social isolation to the list of public health concerns in addition to conventional risk factors.