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.

Association Between Depression and Physical Conditions Requiring Hospitalization.

Importance: Depression is associated with an increased risk of physical illness, but the most common causes of hospitalization among people with depression are unclear. Objective: To examine the association of depression with an array of physical conditions requiring hospital treatment. Design, Setting, and Participants: In this outcomewide prospective multicohort study, primary analysis was based on data from the UK Biobank, a population-based study in the United Kingdom. Analyses were repeated in an independent data set of 2 cohorts in Finland, a population-based study and an occupational cohort. Data analysis was conducted between April and September 2022. Exposures: Self-reported depression, recurrent severe major depression, recurrent moderate major depression, and a single major depressive episode. Main Outcomes and Measures: A total of 77 common health conditions ascertained from linkage data to national hospital and mortality registries. Results: The analytical sample of UK Biobank participants consisted of 130 652 individuals (71 565 women [54.8%]; 59 087 men [45.2%]; mean [SD] age at baseline, 63.3 [7.8] years). The pooled data from the Finnish replication cohorts included 109 781 participants (82 921 women [78.6%]; 26 860 men [21.4%]; mean [SD] age, 42 [10.8] years). In the main analysis, severe/moderately severe depression was associated with the incidence of 29 nonoverlapping conditions requiring hospital treatment during a 5-year follow-up. Twenty-five of these associations remained after adjustment for confounders and multiple testing (adjusted hazard ratio [HR] range, 1.52-23.03) and were confirmed in the analysis of the Finnish cohorts. These included sleep disorders (HR, 5.97; 95% CI, 3.27-10.89), diabetes (HR, 5.15; 95% CI, 2.52-10.50), ischemic heart disease (HR, 1.76; 95% CI, 1.36-2.29), chronic obstructive bronchitis (HR, 4.11; 95% CI, 2.56-6.60), bacterial infections (HR, 2.52; 95% CI, 1.99-3.19), back pain (HR, 3.99; 95% CI, 2.96-5.38), and osteoarthritis (HR, 1.80; 95% CI, 1.46-2.20). The highest cumulative incidence was observed for endocrine and related internal organ diseases (245 per 1000 persons with depression; risk difference relative to unaffected individuals: 9.8%), musculoskeletal diseases (91 per 1000 persons; risk difference, 3.7%), and diseases of the circulatory system and blood (86 per 1000 persons; risk difference, 3.9%). The cumulative incidence was lower for hospital-treated mental, behavioral, and neurological disorders (20 in 1000 persons; risk difference, 1.7%). Depression was also associated with disease progression in people with prevalent heart disease or diabetes, and for 12 conditions, there was evidence of a bidirectional relationship. Conclusions and Relevance: In this study, the most common causes of hospitalization in people with depression were endocrine, musculoskeletal, and vascular diseases, not psychiatric disorders. These findings suggest that depression should be considered as a target for the prevention of physical and mental disease.

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.

Digital health, cardiometabolic disease and ethnicity: an analysis of United Kingdom government policies from 2010 to 2022.

Recent health policies in the United Kingdom (UK) and internationally have focussed on digitisation of healthcare. We examined UK policies for evidence of government action addressing health inequalities and digital health, using cardiometabolic disease as an exemplar. Using a systematic search methodology, we identified 87 relevant policy documents published between 2010 and 2022. We found increasing emphasis on digital health, including for prevention, diagnosis and management of cardiometabolic disease. Several policies also focused on tackling health inequalities and improving digital access. The COVID-19 pandemic amplified inequalities. No policies addressed ethnic inequalities in digital health for cardiometabolic disease, despite high prevalence in minority ethnic communities. Our findings suggest that creating opportunities for digital inclusion and reduce longer-term health inequalities, will require future policies to focus on: the heterogeneity of ethnic groups; cross-sectoral disadvantages which contribute to disease burden and digital accessibility; and disease-specific interventions which lend themselves to culturally tailored solutions.

The Use of Digital Health Interventions for Cardiometabolic Diseases Among South Asian and Black Minority Ethnic Groups: Realist Review.

BACKGROUND: Digital health interventions (DHIs) for the prevention and management of cardiometabolic diseases have become increasingly common. However, there is limited evidence for the suitability of these approaches in minority ethnic populations, who are at an increased risk of these diseases. OBJECTIVE: This study aimed to investigate the use of DHIs for cardiovascular disease and type 2 diabetes among minority ethnic populations in countries with a majority of White, English-speaking populations, focusing on people who identified as South Asian, Black, or African American. METHODS: A realist methodology framework was followed. A literature search was conducted to develop context-mechanism-outcome configurations, including the contexts in which DHIs work for the target minority ethnic groups, mechanisms that these contexts trigger, and resulting health outcomes. After systematic searches, a qualitative analysis of the included studies was conducted using deductive and inductive coding. RESULTS: A total of 15 studies on the uptake of DHIs for cardiovascular disease or diabetes were identified, of which 13 (87%) focused on people with an African-American background. The review found evidence supporting the use of DHIs in minority ethnic populations when specific factors are considered in implementation and design, including patients' beliefs, health needs, education and literacy levels, material circumstances, culture, social networks, and wider community and the supporting health care systems. CONCLUSIONS: Our context-mechanism-outcome configurations provide a useful guide for the future development of DHIs targeted at South Asian and Black minority ethnic populations, with specific recommendations for improving cultural competency and promoting accessibility and inclusivity of design.

Identifying data-fields for a gastrointestinal cancer clinical quality and safety registry: a systematic literature review.

BACKGROUND: Despite considerable advancements in Upper Gastrointestinal Cancer (UGIC) care in Australia and Aotearoa New Zealand (AAoNZ), the absolute number of deaths remains high. Clinical Quality and Safety Registries (CQRs) enable benchmarking and performance appraisal, however an AAoNZ CQR does not exist. To create this, we first aim to identify all national and international UGIC CQRs and amalgamate their data fields and definitions through a systematic review. METHODS: A Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) compliant systematic review was performed using Scopus, Embase, Cochrane and MEDLINE databases. Human studies, in English, reporting on the development of and/or results of all CQRs focused on UGIC were included. Individual data fields were extracted and placed into four categories. Data fields could be further synthesized into data field subcategories if there were direct similarities among studies. RESULTS: A total of 32 studies-23 national audits or registries and nine international benchmarking studies-were included, encompassing 899 073 patients in 48 countries. Of the total of 1710 individual data fields, 1526 (89.2%) were reported with a definition. The most number of data fields related to Treatment Factors (41.2%), with least number pertaining to Outcomes (7.8%). CONCLUSIONS: This systematic review has amalgamated all data fields and definitions from UGIC CQRs or studies. Establishing an AAoNZ Clinical and Quality Safety Registry for our population will enable us to benchmark the performance of our UGIC care internationally. Further studies are indicated in the context of the use of the Delphi method to facilitate this process.

Frameworks for Implementation, Uptake, and Use of Cardiometabolic Disease-Related Digital Health Interventions in Ethnic Minority Populations: Scoping Review.

BACKGROUND: Digital health interventions have become increasingly common across health care, both before and during the COVID-19 pandemic. Health inequalities, particularly with respect to ethnicity, may not be considered in frameworks that address the implementation of digital health interventions. We considered frameworks to include any models, theories, or taxonomies that describe or predict implementation, uptake, and use of digital health interventions. OBJECTIVE: We aimed to assess how health inequalities are addressed in frameworks relevant to the implementation, uptake, and use of digital health interventions; health and ethnic inequalities; and interventions for cardiometabolic disease. METHODS: SCOPUS, PubMed, EMBASE, Google Scholar, and gray literature were searched to identify papers on frameworks relevant to the implementation, uptake, and use of digital health interventions; ethnically or culturally diverse populations and health inequalities; and interventions for cardiometabolic disease. We assessed the extent to which frameworks address health inequalities, specifically ethnic inequalities; explored how they were addressed; and developed recommendations for good practice. RESULTS: Of 58 relevant papers, 22 (38%) included frameworks that referred to health inequalities. Inequalities were conceptualized as society-level, system-level, intervention-level, and individual. Only 5 frameworks considered all levels. Three frameworks considered how digital health interventions might interact with or exacerbate existing health inequalities, and 3 considered the process of health technology implementation, uptake, and use and suggested opportunities to improve equity in digital health. When ethnicity was considered, it was often within the broader concepts of social determinants of health. Only 3 frameworks explicitly addressed ethnicity: one focused on culturally tailoring digital health interventions, and 2 were applied to management of cardiometabolic disease. CONCLUSIONS: Existing frameworks evaluate implementation, uptake, and use of digital health interventions, but to consider factors related to ethnicity, it is necessary to look across frameworks. We have developed a visual guide of the key constructs across the 4 potential levels of action for digital health inequalities, which can be used to support future research and inform digital health policies.

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.

Experience of depression in older adults with and without a physical long-term condition: findings from a qualitative interview study.

OBJECTIVE: To understand how the lived experience of depression differs among patients with a long-term condition (LTC) compared with those without an LTC, and how the experience differs across different types of LTC. DESIGN: Face-to-face, semistructured interviews. SETTING: Primary care; General Practitioner (GP) surgeries in and around North London. PARTICIPANTS: 41 primary care patients with depression were recruited. Our sample comprised participants aged 55-75 years with depression only (n=12), depression and coronary heart disease (n=5), depression and type 2 diabetes (n=10) and depression and arthritis (n=14). RESULTS: Interviews were conducted, audio recorded, transcribed and analysed using thematic analysis. The results revealed that the cardinal diagnostic symptoms of depression (anhedonia, sadness) were experienced by all our participants regardless of LTC. However, the LTC did interact with depression by compounding somatic, cognitive and emotional symptoms, increasing disability and reducing independence, and hindering attempts at coping with mental illness. Our findings demonstrate common experiences across patients as well as key differences based on LTC. CONCLUSIONS: We suggest four key implications for future care practices of these patients: (1) not all participants with depression and LTC view their mental and physical health as interconnected; there should be allowances in care plans for separate treatment pathways; (2) key features of depression that affect LTC management are social withdrawal and lack of motivation to self-manage or access healthcare; (3) key features of LTCs that worsen depression are pain, the unpredictability of future health and progressive disability; (4) positive self-management of LTC could improve self-efficacy and therefore mood, and should be encouraged.

Learning our lesson: using past policies to improve digital and ethnic inequalities beyond the pandemic.

COVID-19 has had a disproportionate impact on ethnic minorities in the UK, raising questions about whether learning from the past few decades about the interplay between ethnicity and health inequalities has been effectively incorporated in current health policy. As digital health approaches, such as remote consultations and apps, become more widespread during and after the pandemic, it is important to ensure that these do not contribute to 'widening the gap'. We highlight three areas in which existing knowledge and evidence can be translated into cross-sectoral action to avoid further ethnic and digital health inequalities: data and measurement, improved communication, and embedded equality impact.

The Impact of Caregiving Burden on Mental Well-Being in Coronary Artery Bypass Graft Surgery Caregivers: The Mediatory Role of Perceived Social Support.

An increase in caregiver burden and a decrease in social support have both been identified as predictors of poor caregiver psychological distress. However, little is known about the role of these factors in coronary artery bypass graft (CABG) caregivers. The purpose of this study was to investigate whether change in perceived social support from pre to post surgery mediated the relationship between change in caregiver burden and caregiver depressive symptoms and subjective well-being post surgery. A sample of 101 caregivers of elective CABG patients were assessed 28 days before and 62 days after patients' surgery. Caregivers completed the Oberst Burden Scale, the Enhancing Recovery in Coronary Heart Disease (ENRICHD) Social Support Instrument, the Beck Depression Inventory, and the Control, Autonomy, Self-Realisation, and Pleasure (CASP-19) scale. Simple mediation analyses showed that change in social support significantly mediated both the relationship between change in caregiver burden and post-surgery depressive symptoms (unstandardised ß = 0.041, 95% CI (0.005, 0.112)) and the relationship between change in caregiver burden and post-surgery subjective well-being (unstandardised ß = 0.071, 95% CI (0.001, 0.200)). Psychological interventions aimed at the CABG caregiver population should promote social support to deal with the increase of caregivers' tasks and demands after the patients' surgery.

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.

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.

The combined association of depressive symptoms and C-reactive protein for incident disease risk up to 12 years later. Findings from the English Longitudinal Study of Ageing (ELSA).

BACKGROUND: Depression and inflammation are interrelated, and both are associated with the development of long-term conditions (LTCs). We investigated whether the combination of elevated depressive symptoms and elevated C-reactive protein (CRP) was associated with the rate of onset of a range of LTCs. METHODS: We analysed data from 5360 participants (65.77 ± 9.46 years; 54.1% female) from the English Longitudinal Study of Ageing (ELSA). Depressive symptoms were indicated using the Centre for Epidemiological Studies Depression (CES-D) scale and scores were combined with high sensitivity (hs)-CRP values to reflect the additive interaction between low/high depressive symptoms (CES-D ≥4) and low/high CRP (>3mg/L). Participants were followed-up for up to 12 years to predict incident illness. Cox proportional hazard regression was used controlling for covariates. RESULTS: In fully adjusted models, the combination of elevated depressive symptoms and elevated CRP was an independent predictor of coronary heart disease (CHD) (HR = 1.68, 95% C.I. = 1.01-2.78), stroke (HR = 2.02; 95% C.I. = 1.48-2.76), diabetes/high blood glucose (HR = 1.69; 95% C.I. = 1.11-2.57), and pulmonary disease (HR = 1.79; 95% C.I. = 1.02-3.15) relative to low depressive symptoms/low CRP, independently of age, sex, wealth, cohabitation, smoking status, body mass index and hypertension. Elevated depressive symptoms and low CRP was associated with arthritis incidence (HR = 1.49; 95% C.I. = 1.15-1.92). No association was found for cancer incidence. CONCLUSION: A combination of depressive symptoms and CRP was implicated in the onset of CHD, stroke, diabetes/high blood glucose, and pulmonary disease up to 12 years later, reflecting the role of psychobiological processes across multiple disease states.

Subjective wellbeing as a determinant of glycated hemoglobin in older adults: longitudinal findings from the English Longitudinal Study of Ageing.

BACKGROUND: Previous research has shown an association between subjective wellbeing and incident diabetes. Less is known about the role of wellbeing for subclinical disease trajectories as captured via glycated hemoglobin (HbA1c). We aimed to explore the association between subjective wellbeing and future HbA1c levels, and the role of sociodemographic, behavioral and clinical factors in this association. METHODS: We used data from the English Longitudinal Study of Ageing for this study (N = 2161). Subjective wellbeing (CASP-19) was measured at wave 2 and HbA1c was measured 8 years later at wave 6. Participants were free from diabetes at baseline. We conducted a series of analyses to examine the extent to which the association was accounted for by a range of sociodemographic, behavioral and clinical factors in linear regression models. RESULTS: Models showed that subjective wellbeing (CASP-19 total score) was inversely associated with HbA1c 8 years later after controlling for depressive symptoms, age, sex, and baseline HbA1c (B = -0.035, 95% CI -0.060 to -0.011, p = 0.005). Inclusion of sociodemographic variables and behavioral factors in models accounted for a large proportion (17.0% and 24.5%, respectively) of the relationship between wellbeing and later HbA1c; clinical risk factors explained a smaller proportion of the relationship (3.4%). CONCLUSIONS: Poorer subjective wellbeing is associated with greater HbA1c over 8 years of follow-up and this relationship can in part be explained by sociodemographic, behavioral and clinical factors among older adults.

Systemic low-grade inflammation and subsequent depressive symptoms: Is there a mediating role of physical activity?

OBJECTIVE: Systemic low-grade inflammation has been associated with the onset of depression, but the exact mechanisms underlying this relationship remain elusive. This study examined whether physical activity (PA) explained the association between elevated serum levels of inflammatory markers and subsequent depressive symptoms. DESIGN: Prospective cohort design. METHOD: The sample consisted of 3809 non-depressed men and women (aged 50+) recruited from the English Longitudinal Study of Ageing (ELSA). Serum levels of inflammatory markers (C-reactive protein (CRP), fibrinogen) and covariates (age, sex, education, wealth, body mass index, smoking, cholesterol, triglycerides) were measured at baseline (wave 4, 2008/09). Self-reported weekly moderate/vigorous (high) PA versus no weekly moderate/vigorous (low) PA was examined at a four-year follow-up (wave 6, 2012/13), using a single-item question. Depressive symptoms were assessed at baseline, four years (wave 6, 2012/13) and six years post baseline (wave 7, 2014/15), using the 8-item version of the Centre for Epidemiological Studies Depression Scale (CES-D). RESULTS: Participants with higher baseline concentrations of inflammatory markers were significantly more likely to report low PA levels four years later (CRP: OR: 1.25; 95% CI, 1.05-1.48; fibrinogen: OR: 1.18; 95% CI, 1.05-1.39). Moreover, low PA was associated with higher odds of elevated depressive symptoms at follow-up (OR: 1.59; 95% CI, 1.15-2.19). Mediation analyses revealed that low PA explained a total of 36.71% of the relationship between high CRP and elevated depressive symptoms, and 33.26% between higher levels of fibrinogen and elevated depressive symptoms six years later. No direct association was found between systemic low-grade inflammation and future depressive symptoms. CONCLUSION: These results suggest that low PA is a significant partial mediator of the relationship between systemic low-grade inflammation and subsequent elevated depressive symptoms in a nationally representative cohort of older adults.

Pre-surgical Caregiver Burden and Anxiety Are Associated with Post-Surgery Cortisol over the Day in Caregivers of Coronary Artery Bypass Graft Surgery Patients.

BACKGROUND: The relationship between pre-surgical distress and diurnal cortisol following surgery has not been investigated prospectively in caregivers of coronary artery bypass graft (CABG) patients before. We aimed to examine the relationship between pre-surgical anxiety and caregiver burden and diurnal cortisol measured 2 months after the surgery in the caregivers of CABG patients. METHOD: We used a sample of 103 caregivers of elective CABG patients that were assessed 28.86 days before and 60.94 days after patients' surgery. Anxiety and caregiver burden were assessed using the anxiety subscale of the Hospital Anxiety and Depression Scale and the Oberst Burden Scale respectively. Saliva samples were collected to measure cortisol area under the curve with respect to ground (AUCg) and diurnal cortisol slope. Anxiety and caregiver burden were entered into linear regression models simultaneously. RESULTS: While high levels of pre-surgical anxiety were positively associated with increased follow-up levels of AUCg (ß = 0.30, p = 0.001), greater pre-surgery perceived burden score was associated with steeper cortisol slope (ß = 0.27, p = 0.017) after controlling for a wide range of covariates. CONCLUSION: These outcomes support the utility of psychological interventions aimed to increase the awareness of caregiving tasks and demands in informal caregivers.