Perceived discrimination and type 2 diabetes incidence: Findings from the Health and Retirement Study.

OBJECTIVES: To examine the prospective association between perceived everyday discrimination and Type 2 diabetes incidence in a large population-based sample. METHOD: Data were from the Health and Retirement Study of 14,900 individuals aged ≥ 50 years without a diabetes diagnosis. Participants self-reported experiences of everyday discrimination and diabetes status. Associations between baseline perceived everyday discrimination (one time point) and incident diabetes in the following 10 years were modeled using Cox regression, adjusting for potential confounders. Exploratory analyses assessed the association between repeated reports of perceived everyday discrimination (reports of everyday discrimination at more than one time point) and later diabetes onset. RESULTS: A total of 917 (6.15%) of the 14,900 participants developed Type 2 diabetes over a maximum 10-year follow-up (Mdn = 6). Baseline perceived everyday discrimination was prospectively associated with an increased risk of diabetes (hazard ratio = 1.37, 95% confidence interval [1.15, 1.63], p < .001) independent of age, sex, wealth, race and ethnicity, and education. This association was robust to further adjustment for body mass index, hypertension, physical activity, smoking, alcohol consumption, and depression. In exploratory analyses, repeated reports of everyday discrimination were not significantly associated with incident diabetes. CONCLUSIONS: Individuals who perceive everyday discrimination are more likely to develop Type 2 diabetes than those who do not perceive everyday discrimination. Further research is needed to investigate the potential pathways linking discrimination and diabetes onset. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

The relationship between gender discrimination and wellbeing in middle-aged and older women.

BACKGROUND: Emerging evidence suggests that perceived gender discrimination negatively impacts mental wellbeing in young women. PURPOSE: This study explored whether a similar relationship exists in middle-aged and older women. METHODS: A total of 3081 women (aged ≥52 years) from the English Longitudinal Study of Ageing provided data on perceived gender discrimination in 2010/11. Depressive symptoms, loneliness, quality of life and life satisfaction were assessed in 2010/11 and in 2016/17. RESULTS: Perceived gender discrimination was reported by 282 (9.2%) participants. Cross-sectionally, women who perceived gender discrimination reported more depressive symptoms (ß = 0.34, 95% CI 0.11 to 0.57) and had higher loneliness scores (ß = 0.14, 95% CI 0.08 to 0.20) than women who did not perceive gender discrimination. They also reported significantly lower quality of life (ß = -2.50, 95% CI -3.49 to -1.51) and life satisfaction (ß = -1.07, 95% CI -1.81 to -0.33). Prospectively, perceived gender discrimination was associated with greater loneliness scores (ß = 0.08, 95% CI 0.02 to 0.14), as well as lower ratings of quality of life (ß = -0.98, 95% CI -0.09 to -1.86), and life satisfaction (ß = -1.04, 95% CI -0.34 to -1.74), independent of baseline values. CONCLUSIONS: Middle-aged and older women who perceive gender discrimination report poorer mental wellbeing than those who do not perceive discrimination. Further, this type of discrimination may be predictive of declining mental wellbeing over time. These findings highlight the need for interventions to target gender-based discrimination to improve the wellbeing of women at mid- and older age.

Association Between Optimism and Incident Stroke Among Stroke Survivors: Findings From the English Longitudinal Study of Ageing.

BACKGROUND: Personality has been implicated in stroke death. However, the role of personality in stroke incidence is unclear. PURPOSE: Our primary aim was to investigate associations between optimism, determination, control, and the "Big Five" personality traits on incident stroke. A secondary aim was to assess the potential mediating role of health behaviors in the personality-stroke relationship. METHODS: A total of 3,703 stroke-free participants from the English Longitudinal Study of Ageing provided data on personality using the Midlife Development Inventory at Wave 5 (2010/11). Self-reported incident stroke was assessed from Waves 6 to 8 (2012-2017). Associations were modeled using discrete-time survival proportional odds logistic models. Analyses were adjusted for sociodemographic factors, history of other cardiometabolic diseases, and health behaviors. RESULTS: Over 6 years follow-up there were 125 incident strokes. Higher optimism (hazard ratio [HR] = 0.66; 95% confidence interval [CI] 0.53, 0.82), openness (HR = 0.72; 95% CI 0.53, 0.98), and conscientiousness (HR = 0.59; 95% CI 0.42, 0.84) were associated with reduced incident stroke risk in unadjusted models. After adjustment for sociodemographic factors and history of cardiometabolic disease, only the association between optimism and incident stroke remained significant (HR = 0.72; 95% CI 0.57, 0.92). The effect of optimism remained significant in a final model adjusting for health behaviors (HR = 0.75; 95% CI 0.60, 0.96). There was evidence of a small but significant mediating effect of physical activity. CONCLUSIONS: Higher trait optimism was associated with reduced stroke risk. This association was partially mediated by physical activity albeit the effect was small, and caution warranted inferring causality. The interplay of personality, behavior, and clinical risk factors in stroke incidence and survivorship needs further investigation.

Personality can influence health. Research has linked traits such as optimism with reduced risk of heart attack. This study set out to investigate whether optimism and other personality traits could also influence the risk of stroke. A total of 3,703 people aged 50 and over living in England filled in questionnaires on personality. They were then followed for 6 years to see who developed stroke. The study found that more optimistic people had a reduced risk of stroke. People who had more conscientious and more open personality types also had a lower risk of stroke. However, the strongest effects were found for optimism, where optimistic people had a lower stroke risk regardless of their clinical risk or health behaviors. It is unknown why optimism may help reduce stroke risk. One possibility coming from the study data suggests that optimistic people are more likely to be physically active which then helps reduce stroke risk. More research is needed to understand how personality might influence health behaviors to reduce the risk of people having a stroke.

Social network size moderates the association between loneliness and cardiovascular reactivity to acute stress.

Loneliness and objective measures of social isolation (e.g., social network size) have been associated with increased risk of cardiovascular disease (CVD). However, the evidence is mixed and the precise causal mechanisms remain unclear. Cardiovascular reactivity (CVR) to acute stress has been posited as a proposed mechanism. This study aimed to investigate: (i) effects of loneliness and social isolation on CVR to stress and, (ii) whether the loneliness - CVR relationship was moderated by social network size. Two hundred and six participants from the Pittsburgh Cold Study underwent a modified version of the Trier Social Stress Task. Cardiovascular measures of systolic (SBP) and diastolic blood pressure (DBP) and heart rate (HR) were taken throughout the laboratory stress trial. Hierarchical regression analyses found that social network size was positively associated with DBP reactivity (ß = 0.19 95 % CI [0.05, 0.29] p = 0.005), while loneliness was not. In addition, social network size moderated the loneliness - DBP reactivity relationship such that a higher number of outer social network ties were beneficial at lower levels of loneliness but not higher. The current study contributes new evidence linking loneliness and social network size to cardiovascular psychophysiology but raises questions about the loneliness - CVD relationship. The findings confirm the importance of social network size and highlight that the characteristics of the networks may be more important than the number of networks.

The impact of a diabetes diagnosis on health and well-being: Findings from the English Longitudinal Study of Ageing.

BACKGROUND: Poorer health and well-being are associated with diabetes risk. However, little is known about the trajectory of health and well-being from before to after diabetes diagnosis. We compared depressive symptoms, quality of life, self-rated health, and loneliness at three time points (prediagnosis, diagnosis, 2-4 years post diagnosis) in individuals who developed diabetes and a comparison group. METHODS: Health and well-being measures were self-reported by 3474 participants from the English Longitudinal Study of Ageing. Repeated measures analysis of variance and generalized estimating equations were used to investigate differences by group, time, and group-by-time interactions. RESULTS: A total of 473 (13.6%) participants developed diabetes. The diabetes group reported greater depressive symptoms (W2 (1) = 20.67, p < .001) and lower quality of life (F = 1, 2535 = 10.30, p = .001) and were more likely to rate their health as fair/poor (W2 (1) = 67.11, p < .001) across time points, adjusting for age, sex, and wealth. They also reported greater loneliness (F = 1, 2693 = 9.70, p = .002) in unadjusted analyses. However, this was attenuated to the null in adjusted analyses. The group-by-time interaction was significant for quality of life (F = 1.97, 5003.58 = 5.60, p = .004) and self-rated health (W2 (2) = 11.69, p = .003), with a greater decline in these measures over time in the diabetes group in adjusted analyses. CONCLUSION: People who received a diabetes diagnosis had greater depressive symptoms, lower quality of life, and poorer self-rated health than those who did not develop diabetes. Quality of life and self-rated health deteriorated more rapidly following a diagnosis. Screening for these factors around the time of diagnosis could allow for interventions to improve the health and well-being of those with diabetes.

The combined effect of socioeconomic position and C-reactive protein for predicting incident cardiometabolic disease: Findings from a 14-year follow-up study of the English Longitudinal Study of Ageing (ELSA).

Cardiovascular disease and diabetes are leading causes of morbidity and mortality worldwide. Social inequalities in the distribution of these diseases across the population exist. The aim of the current study was to examine the additive effect of socioeconomic position and a known biological risk marker (C-reactive protein [CRP]) for future incident cardiometabolic disease. We used data from the English Longitudinal Study of Ageing (N = 5410). Tertiles of net financial wealth and CRP (>3 mg/L) were measured at wave 2 (2004/05) and disease incidence (coronary heart disease [CHD], stroke, diabetes/high blood glucose) was reported across the subsequent 14 years of follow-up (2006-2019). Individual diseases were modelled as well as cardiometabolic multimorbidity which was defined as 2 or more incident cardiometabolic disease diagnoses over follow-up. Participants were free from the disease of interest at baseline. Cox proportional hazard and logistic regression analyses were used controlling for sociodemographic, lifestyle and health-related covariates. After adjusting for all covariates, the combination of low wealth and elevated CRP was an independent predictor of incident diabetes/high blood glucose (Hazard Ratio (HR) = 2.14; 95% Confidence Interval (C.I.) = 1.49-3.07), CHD (HR = 2.48, 95% C.I. = 1.63-3.76), stroke (HR = 1.55; 95% C.I. = 1.18-2.04), relative to high wealth/low CRP. Low wealth and elevated CRP was also an independent predictor of incident cardiometabolic multimorbidity (Odds Ratio = 2.22, 95% C.I. = 1.16-4.28) in age and sex adjusted models. The presence of both low wealth and elevated CRP was implicated in the onset of CHD, stroke, diabetes/high blood glucose, and cardiometabolic multimorbidity up to 14 years later, reflecting the role of psychobiological processes in predicting disease burden. Our results reinforce calls for efforts to tackle structural inequalities to improve healthy ageing trajectories.

The role of stress and health behaviour in linking weight discrimination and health: a secondary data analysis in England.

OBJECTIVE: To examine the role of stress and health-risk behaviours in relationships between weight discrimination and health and well-being. DESIGN: Secondary data analysis of an observational cohort study. SETTING: The English Longitudinal Study of Ageing. PARTICIPANTS: Data were from 4341 adults (≥50 years) with overweight/obesity. PRIMARY OUTCOME MEASURES: We tested associations between perceived weight discrimination at baseline (2010/2011) and self-rated health, limiting long-standing illness, depressive symptoms, quality of life and life satisfaction over 4-year follow-up (2010/2011; 2014/2015). Potential mediation by stress exposure (hair cortisol) and health-risk behaviours (smoking, physical inactivity, alcohol consumption) was assessed. RESULTS: Cross-sectionally, perceived weight discrimination was associated with higher odds of fair/poor self-rated health (OR=2.05 (95% CI 1.49 to 2.82)), limiting long-standing illness (OR=1.76 (95% CI 1.29 to 2.41)) and depressive symptoms (OR=2.01 (95% CI 1.41 to 2.85)) and lower quality of life (B=-5.82 (95% CI -7.01 to -4.62)) and life satisfaction (B=-2.36 (95% CI -3.25 to -1.47)). Prospectively, weight discrimination was associated with higher odds of fair/poor self-rated health (OR=1.63 (95% CI 1.10 to 2.40)) and depressive symptoms (OR=2.37 (95% CI 1.57 to 3.60)) adjusting for baseline status. Those who reported discrimination had higher hair cortisol concentrations (B=0.14 (95% CI 0.03 to 0.25)) and higher odds of physical inactivity (OR=1.90 (95% CI 1.18 to 3.05)). These variables did not significantly mediate associations between discrimination and health outcomes. CONCLUSIONS: Weight discrimination is associated with poor health and well-being. While this discrimination is associated with stress exposure and physical inactivity, these variables explain little of the association between discrimination and poorer outcomes.

An online acceptance, commitment, and self-compassion based treatment to decrease psychological distress in people with type 2 diabetes: A feasibility randomised-controlled trial.

Background and purpose: This study explored the feasibility and acceptability of conducting a larger trial of a self-guided, online self-compassion and acceptance and commitment therapy (ACT) focused treatment among people with type 2 diabetes (T2D) to decrease psychological distress. Materials and methods: This study was a two-arm, parallel, feasibility randomised controlled trial with nested qualitative methods. UK adults with T2D were randomly (1:1) allocated to a five-week online self-compassion and ACT treatment or waitlist control. Information regarding recruitment, trial retention, and treatment completion was collected, and post-treatment semi-structured interviews were conducted to assess feasibility and acceptability. Self-report measures of psychological distress (depression, anxiety, diabetes distress) and potential treatment processes (self-compassion and psychological flexibility) were completed as secondary feasibility outcomes. Results: Fifty-five (60.44 %) out of 91 people who accessed the study link were eligible to participate. Of these, 33 eligible participants (60 %) were randomly assigned to treatment (n = 19) or control arms (waitlist; n = 14). While treatment completion was 47.37 %, trial retention rates were 39.39 % (5-week follow-up) and 21.2 % (9-week follow-up). Secondary feasibility outcomes of treatment effect estimates are difficult to interpret in light of low treatment completion and trial retention rates. Conclusion: A larger trial of the self-guided, online self-compassion treatment to decrease psychological distress in people with T2D may be beneficial, but it has limited feasibility in its current form. Further efforts are needed to improve treatment acceptability of online self-compassion and ACT focused treatment and trial procedures.

The role of loneliness on hearing ability and dementia: A novel mediation approach.

BACKGROUND: To determine the potential mediating role of loneliness in the relationship between hearing ability and dementia. METHODS: Design: Longitudinal observational study. SETTING: English Longitudinal Study of Ageing (ELSA). PARTICIPANTS: Individuals aged 50 and older (N = 4232). MEASUREMENTS: Self-reported hearing ability and loneliness were assessed from Wave 2 (2004-2005) to Wave 7 (2014-2015) of ELSA. Dementia cases were ascertained via self- or carer-report or dementia medication at these waves. The medeff command in Stata version 17 was used to do cross-section mediation analysis between hearing ability, loneliness, and dementia (Waves 3-7). Path-specific effects proportional (cause-specific) hazard models were then used to investigate longitudinal mediation (Waves 2-7). RESULTS: In cross-sectional analyses in Wave 7 alone, loneliness only mediated 5.4% of the total effects of limited hearing on dementia (indirect effects = increased risk of 0.06%; 95% CI: 0.002%-0.15%) under limited hearing and 0.04% (95% CI: 0.001%-0.11%) under normal hearing). In longitudinal analyses, there was no statistical evidence of a mediating role for loneliness in explaining the relationship between hearing ability and time-to-dementia (indirect effect estimate hazard ratio = 1.01 (95% CI: 0.99-1.05). CONCLUSION: In this community-dwelling sample of English adults, there is a lack of evidence that loneliness mediates the relationship between hearing ability and dementia in both cross-sectional and longitudinal analyses. However, as the number of dementia cases in this cohort was low, replication in other cohorts with larger sample sizes is required to confirm the absence of a mediated effect via loneliness.

Dysregulated responses to stress and weight in people with type 2 diabetes.

OBJECTIVE: Dysregulated stress responsivity has been linked with weight gain in healthy samples. However, the relationship between disturbances in stress-related biology and changes in weight in people with type 2 diabetes (T2D) is unclear. METHOD: A total of 66 participants with T2D underwent laboratory stress-testing in 2011-2012. Cardiovascular, neuroendocrine and inflammatory responses to standardised mental stress were assessed, and Body Mass Index (BMI) was measured. Participants self-reported information on BMI in 2019. Associations between stress-related biological responses and BMI at follow-up were modelled using linear regression adjusting for age, sex, resting biological levels and baseline BMI. RESULTS: Blunted diastolic blood pressure reactivity (B = -0.092, 95% CI -0.177; -0.007, p = 0.034) as well as poorer systolic blood pressure (B = -0.050, 95% CI -0.084; - 0.017, p = 0.004), diastolic blood pressure (B = -0.068, 95% CI -0.132; -0.004, p = 0.034) and heart rate (B = -0.122, 95% CI -0.015;-0.230, p = 0.027) recovery post-stress were associated with higher BMI 7.5 years later. Greater interleukin-1 receptor antagonist (B = 16.93, 95% CI 6.20; 27.67, p = 0.003) and monocyte chemoattractant protein-1 reactivity (B = 0.04, 95% CI 0.002; 0.084, p = 0.041) were associated with weight gain. No significant associations were detected for interleukin-6 or laboratory cortisol measures. CONCLUSION: Disturbances in stress-related biology may promote weight gain in people with T2D. Research with a larger sample size is required to explore associations between stress responsivity and BMI in people with T2D.

Perceived discrimination in middle-aged and older adults: Comparison between England and the United States.

Objectives: This study examined differences in perceived discrimination across multiple characteristics in England and the United States (US), in middle- and older-aged adults. Methods: Using data from the English Longitudinal Study of Aging (N = 8,671) and the US-based Health and Retirement Study (N = 7,927), we assessed cross-national differences in perceived discrimination attributed to disability, financial status, sex, race, sexual orientation, and weight. We also compared how perceived discrimination varied with socioeconomic position (SEP) based on wealth. Results: Perceived discrimination due to financial status was more common in England (6.65%) than in the US (2.14%) adjusting for age, sex, and wealth [Odds Ratio (OR) = 1.09, 95% CI (1.07; 1.10)]. This affected people of low but not high SEP. Sexual orientation discrimination was more common in England [0.72 vs. 0.15%, OR = 4.61, 95% CI (2.48; 8.57)]. Sex-based perceived discrimination was more prevalent in the US (12.42%) than England (9.07%) adjusting for age and wealth [OR = 0.87, 95% CI (0.86; 0.89)]. Cross-national differences in sex discrimination did not vary with SEP. Racism was the most common type of perceived discrimination reported in both samples (England: 17.84%, US: 19.80%), with no significant cross-national differences after adjustment for sex. Discussion: Perceived discrimination attributed to financial status and sexual orientation were more prevalent in England, while more women perceived sex discrimination in the US. This study suggests that country-specific and socioeconomic factors affect the prevalence of perceived discrimination. This may be relevant when targeting interventions aimed at reducing perceived discrimination.

The effectiveness of cognitive behavioural therapy and third-wave cognitive behavioural interventions on diabetes-related distress: A systematic review and meta-analysis.

AIM: Diabetes-related distress is common in diabetes and has implications for well-being. Cognitive behavioural therapy (CBT) and third-wave CBT hold promise as treatments for diabetes-related distress, although previous findings are inconclusive. We aimed to conduct a systematic review with meta-analysis to understand the efficacy of these interventions in treating diabetes-related distress, while also assessing the associative benefits of these interventions on depression, anxiety and glycaemic control. We also aimed to conduct a narrative synthesis, and subgroup analyses to identify intervention components most useful in treating diabetes-related distress. METHOD: We searched seven electronic databases from inception to April 2021. Data extraction was independently performed by two reviewers. Methodological quality was assessed. The protocol was registered with the Prospective Register Of Systematic Reviews (PROSPERO): CRD42021240628. RESULTS: We included 22 randomised controlled trials investigating the efficacy of CBT and third-wave CBT interventions on diabetes-related distress. CBT for diabetes-related distress significantly reduced distress (SMD = -0.278, p = 0.010) and depression (SMD = -0.604, p = 0.016). Third-wave CBT for diabetes-related distress significantly reduced anxiety (SMD = -0.451, p = 0.034). No significant effect of either intervention on glycated haemoglobin was observed. CBT interventions that included a digital component, were delivered by a psychological practitioner, and included behavioural activation bolstered the effects on diabetes-related distress. CONCLUSIONS: CBT aiming to target diabetes-related distress is beneficial for distress and depression. Third-wave CBT for diabetes-related distress is beneficial for anxiety. More work is needed to optimise interventions to improve both mental and physical health outcomes in people with diabetes.

Inflammatory stress responses and future mental health outcomes in people with type 2 diabetes.

Background: Inflammatory dysregulation may be linked with mental health disturbances in people with Type 2 Diabetes (T2D), however no previous studies have examined longitudinal associations between inflammatory stress responses and mental health outcomes in T2D. Purpose: To better understand the biological mechanisms that might predispose people with T2D to poor mental health in the future. Methods: At baseline, 140 participants with T2D participated in a laboratory stress testing study (mean age = 64 years). Participants underwent two mental stress tasks and blood was sampled before and up to 45 min post-stress to detect plasma interleukin (IL)-6. The Center for Epidemiological Studies-Depression scale and the Short Form-36 Health Survey were completed at baseline and 7.5 years later. We tested associations between IL-6 stress responses and a) depression symptoms and b) mental health-related quality of life (QoL) at baseline and at follow-up using linear regression analyses adjusting for age, sex, and body mass index (BMI). Results: Up to 66 participants provided follow-up data. In cross-sectional analyses, increased IL-6 stress responses immediately post-task were associated with lower mental health-related quality of life (B = -21.73, p = 0.005, 95% CI [-36.82, -6.63]) adjusting for age, sex, and BMI. In longitudinal analyses, increased IL-6 stress responses at 45 min post-task were associated with increased depressive symptoms (B = 10.31 p = 0.048, 95% CI [0.10, 20.51]) and decreased mental health-related QoL (B = -21.18 p = 0.031, 95% CI [-40.34, -2.02]) adjusting for age, sex, and BMI. The association between the 45-min IL-6 response and depressive symptoms at follow-up was diminished after further adjustment for physical health-related QoL and baseline depressive symptoms (B = 10.14, p = 0.055, 95% CI [-0.21,20.48]). Conclusions: This study supports the link between inflammatory stress responsivity and future mental health outcomes in people with T2D. Further research involving a larger sample size is required.

Perceived discrimination, health, and well-being among adults with and without pain: a prospective study.

ABSTRACT: Discrimination negatively influences health and well-being in the general population, but its impact on people with pain is unclear. This study assessed discrimination, health, and well-being in people with and without pain. Data were from 5871 participants from the English Longitudinal Study of Ageing. Experiences of discrimination were reported in 2010 to 2011. Pain, self-rated health, depressive symptoms, quality of life, life satisfaction, and loneliness were assessed in 2010 to 2011 and 2016 to 2017. A quarter (26%, n = 1524) of the sample reported pain at baseline. Participants with pain were more likely to report discrimination than those without pain (odds ratio [OR] = 1.28, 95% confidence interval [CI] 1.13-1.46). Cross-sectionally, those with pain who perceived discrimination had poorer self-rated health (OR = 1.28, 95% CI 1.02-1.61), greater depressive symptoms (OR = 1.90, 95% CI 1.48-2.45), were more likely to be lonely (ß = 0.21, 95% CI 0.15-0.26), and had lower quality of life (ß = -4.01, 95% CI -4.88 to -3.14), and life satisfaction (ß = -1.75, 95% CI -2.45 to -1.06) than those with pain who did not perceive discrimination. Prospectively, discrimination in those with pain was associated with greater depression (OR = 1.67, 95% CI 1.19-2.34) and loneliness (ß = 0.11, 95% CI 0.05-0.17), adjusting for baseline values. In those without pain in 2010 to 2011, discrimination predicted pain in 2016 to 2017, controlling for covariates (OR = 1.29, 95% CI 1.06-1.56). People with pain are more likely to report discrimination than those without pain, and this experience is associated with increased depression and loneliness. Discrimination was predictive of incident pain in pain-free adults. These findings highlight the need to tackle discrimination to improve well-being in those with pain and to potentially reduce the risk of pain onset.

Enjoyment of life predicts reduced type 2 diabetes incidence over 12 years of follow-up: findings from the English Longitudinal Study of Ageing.

BACKGROUND: Subjective well-being appears to be associated with reduced risk of type 2 diabetes (T2D). However, it is unknown whether this association is similar across different types of well-being. We examined the relationship between hedonic and eudaimonic well-being and incident T2D, and explored the role of sociodemographic, behavioural and clinical factors in these associations. METHODS: We used data from 4134 diabetes-free participants from the English Longitudinal Study of Ageing (mean age =64.97). Enjoyment of life and purpose in life were assessed using items from the CASP-19 to reflect hedonic and eudaimonic well-being, respectively. Participants reported T2D diagnosis over 12 years. We used Cox proportional hazards regression analyses and also explored the percentage of association explained by different covariates. RESULTS: Results revealed a protective role for enjoyment of life in T2D rate adjusting for sociodemographic (age, sex, wealth, ethnicity, marital status), behavioural (physical activity, smoking, alcohol consumption, body mass index) and clinical (hypertension, coronary heart disease and glycated haemoglobin) characteristics (HR =0.93, p=0.021, 95% CI (0.87, 0.99)). Sociodemographic, behavioural and clinical factors accounted for 27%, 27% and 18% of the association, respectively. The relationship between purpose in life and T2D was non-significant (adjusted HR =0.92, p=0.288, 95% CI (0.78, 1.08)). CONCLUSION: This study illustrates how the link between subjective well-being and T2D varies between well-being components. It also demonstrates that sociodemographic, behavioural and clinical factors partially explain this association. Intervention studies examining whether changes in enjoyment of life can help delay T2D onset are warranted.

Racial discrimination and health: a prospective study of ethnic minorities in the United Kingdom.

BACKGROUND: Racism has been linked with poor health in studies in the United States. Little is known about prospective associations between racial discrimination and health outcomes in the United Kingdom (UK). METHODS: Data were from 4883 ethnic minority (i.e. non-white) participants in the UK Household Longitudinal Study. Perceived discrimination in the last 12 months on the basis of ethnicity or nationality was reported in 2009/10. Psychological distress, mental functioning, life satisfaction, self-rated health, physical functioning and reports of limiting longstanding illness were assessed in 2009/10 and 2011/12. Linear and logistic regression analyses adjusted for age, sex, income, education and ethnicity. Prospective analyses also adjusted for baseline status on the outcome being evaluated. RESULTS: Racial discrimination was reported by 998 (20.4%) of the sample. Cross-sectionally, those who reported racial discrimination had a greater likelihood on average of limiting longstanding illness (odds ratio (OR) = 1.78, 95% confidence interval (CI) 1.49; 2.13) and fair/poor self-rated health (OR = 1.50; 95% CI 1.24; 1.82) than those who did not report racial discrimination. Racial discrimination was associated with greater psychological distress (B = 1.11, 95% CI 0.88; 1.34), poorer mental functioning (B = - 3.61; 95% CI -4.29; - 2.93), poorer physical functioning (B = - 0.86; 95% CI -1.50; - 0.27), and lower life satisfaction (B = - 0.40, 95% CI -0.52; - 0.27). Prospectively, those who reported racial discrimination had a greater likelihood on average of limiting longstanding illness (OR = 1.31, 95% CI 1.01; 1.69) and fair/poor self-rated health (OR = 1.30; 95% CI 1.00; 1.69), than those who did not report racial discrimination. Racial discrimination was associated increased psychological distress (B = 0.52, 95% CI 0.20; 0.85) and poorer mental functioning (B = - 1.77; 95% CI -2.70; - 0.83) over two-year follow-up, adjusting for baseline scores. CONCLUSIONS: UK adults belonging to ethnic minority groups who perceive racial discrimination experience poorer mental and physical health than those who do not. These results highlight the need for effective interventions to combat racial discrimination in order to reduce inequalities in health.

Diabetes-related distress and daily cortisol output in people with Type 2 diabetes.

AIMS: Diabetes-related distress is common in Type 2 Diabetes and is linked with poor diabetes control. However, mechanisms underlying this association are unclear. One pathway that could be involved is neuroendocrine dysfunction, as Type 2 Diabetes is associated with altered diurnal cortisol output. This study investigated the link between diabetes-related distress and diurnal cortisol output. METHODS: 134 people with Type 2 Diabetes provided 5 cortisol samples over the course of a day. Multivariate linear regression models were used to assess whether overall and sub-domains of diabetes-related distress measured by the Diabetes Distress Scale, predicted cortisol parameters (waking cortisol, cortisol awakening response, cortisol slope and evening cortisol). RESULTS: Physician-related distress was associated with greater waking (B = 2.747, p = .015) and evening cortisol (B = 1.375, p = .014), and a blunted cortisol awakening response (B = -3.472, p = .038) adjusting for age, sex, income, body mass index, smoking and time of awakening. No associations were detected for overall distress, emotional, interpersonal or regimen distress. CONCLUSION: Physician-related distress was associated with alterations in daily cortisol output. Longitudinal research is required to understand how physician-related distress is associated with diurnal cortisol patterning over time.

Loneliness and type 2 diabetes incidence: findings from the English Longitudinal Study of Ageing.

AIMS/HYPOTHESIS: Loneliness is associated with all-cause mortality and coronary heart disease. However, the prospective relationship between loneliness and type 2 diabetes onset is unclear. METHODS: We conducted a longitudinal observational population study with data on 4112 diabetes-free participants (mean age 65.02 ± 9.05) from the English Longitudinal Study of Ageing. Loneliness was assessed in 2004-2005 using the revised University of California, Los Angeles (UCLA) Loneliness Scale. Incident type 2 diabetes cases were assessed from 2006 to 2017. Associations were modelled using Cox proportional hazards regression, adjusting for potential confounders, which included cardiometabolic comorbidities. RESULTS: A total of 264 (6.42%) participants developed type 2 diabetes over the follow-up period. Loneliness was a significant predictor of incident type 2 diabetes (HR 1.46; 95% CI 1.15, 1.84; p = 0.002) independent of age, sex, ethnicity, wealth, smoking status, physical activity, alcohol consumption, BMI, HbA1c, hypertension and cardiovascular disease. Further analyses detected an association between loneliness and type 2 diabetes onset (HR 1.41; 95% CI 1.04, 1.90; p = 0.027), independent of depressive symptoms, living alone and social isolation. Living alone and social isolation were not significantly associated with type 2 diabetes onset. CONCLUSIONS/INTERPRETATION: Loneliness is a risk factor for type 2 diabetes. The mechanisms underlying this relationship remain to be elucidated. Graphical abstract.

The relationship between sleep problems and cortisol in people with type 2 diabetes.

BACKGROUND: Sleep problems are linked with negative health outcomes, including coronary heart disease. Neuroendocrine dysfunction has been associated with sleep problems and may be a pathway linking sleep and ill health. Dysregulated cortisol output has observed in people with type 2 diabetes (T2D), though little is known about the links between sleep and cortisol in this population at high risk of coronary disease. METHOD: This study investigated the association between sleep problems and cortisol over the course of an ordinary day and in response to acute laboratory stress in a sample of 129 individuals with T2D. Sleep problems were assessed using the Jenkins sleep problems questionnaire. Mental stress was induced using two five-minute laboratory stress tasks: a mirror-tracing task and the Stroop color-word interference task. RESULTS: Sleep problems were positively associated with daily cortisol area under the curve (B = 17.051, C.I. = 6.547 to 27.554, p = 0.002) adjusting for age, sex, marital status, education, household income, body mass index and smoking; suggesting that those with greater sleep problems had greater cortisol concentrations over the course of an ordinary day. Participants reporting greater sleep problems also had raised evening cortisol levels (B = 0.96, C.I. = 0.176 to 1.746, p = 0.017) in adjusted models. In the laboratory sleep problems were negatively associated with cortisol immediately post-task (B = -0.030, C.I. = -0.059 to 0.000, p = 0.048) and 45 minutes post-task (B = -0.037, C.I. = -0.072 to -0.002, p = 0.039) in fully adjusted models; indicating that those who experienced greater sleep problems had lower cortisol concentrations after stress. CONCLUSIONS: Sleep problems were associated with disturbances in cortisol responses to stress, as well as changes diurnal cortisol output in people with T2D. Further research is needed to assess if neuroendocrine disturbance increases the risk of cardiovascular disease in this population.