Patient reported health status and all-cause mortality in patients with coronary heart disease

Inequalities in recovery or methodological artefact? A comparison of models across physical and mental health functioning

Considerable attention has been paid to inequalities in health. More recently, focus has also turned to inequalities in ‘recovery’; with research, for example, suggesting that lower grade of employment is strongly associated with slower recovery from both poor physical and poor mental health. However, this research has tended to operationalise recovery as ‘return to baseline’, and we know less about patterns and predictors when recovery is situated as a ‘process’. This paper seeks to address this gap. Drawing on data from the UK Household Longitudinal Study, we operationalise recovery as both an ‘outcome’ and as a ‘process’ and compare patterns and predictors across the two models. Our analysis demonstrates that the determinants of recovery from poor health, measured by the SF-12, are robust, regardless of whether recovery is operationalised as an outcome or as a process. For example, being employed and having a higher degree were found to increase the odds of recovery both from poor physical and mental health functioning, when recovery was operationalised as an outcome. These variables were also important in distinguishing health functioning trajectories following a poor health episode. At one and the same time, our analysis does suggest that understandings of inequalities in recovery will depend in part on how we define it. When recovery is operationalised as a simple transition from poor health state to good, it loses sight of the fact that there may be inequalities (i) within a ‘poor health’ state, (ii) in how individuals are able to step into the path of recovery, and (iii) in whether health states are maintained over time. We therefore need to remain alert to the additional nuance in understanding which comes from situating recovery as a process; as well as possible methodological artefacts in population research which come from how recovery is operationalised.

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There is no consensus on what recovery is and how it should be operationalised.

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Understanding of inequalities in recovery across health conditions remains scarce.

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We operationalised recovery both as an outcome and as a process.

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We found robust inequalities in recovery across the two approaches.

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Considering recovery as a process revealed more nuanced patterns in inequalities.

Mental health status and quality of life in elderly patients with coronary heart disease

Background

Coronary heart disease (CHD) is the leading cause of morbidity and mortality among elderly individuals. Patients with CHD are at high risk for mental health disorders, and psychological issues may affect the quality of life (QoL) of these patients. Nevertheless, there is little evidence regarding the psychological issues and QoL of patients with CHD among the elderly population. This study aimed to investigate the relationship between comorbidities and mental status as well as QoL among elderly patients with CHD.

Methods

Overall, 216 patients were included in this cross-sectional, observational, single-center study. The demographics and clinical manifestations of the patients were collected from electronic medical records. All patients were interviewed using the Chinese version of Symptom Checklist 90 (SCL-90) to assess the mental health status and the World Health Organization Quality of Life-BREF questionnaire (WHOQOL-BREF) to assess the QoL.

Results

In total, 96 men and 120 women, with a mean age of 71.69 ±  8.30 years, were included. When controlling for the patients’ sex, marital status and stroke, multiple stepwise linear regression analyses suggested that for CHD patients, comorbid type 2 diabetes mellitus had the significant influence on average positive factors (Coef., 5.809; 95% CI [2.467–9.152] p = 0.001); when controlling for the patients’ sex, marital status and type 2 diabetes mellitus, multiple stepwise linear regression analyses suggested that for CHD patients, comorbid stroke had the significant influence on average positive factors (Coef., 8.680; 95% CI [4.826–12.534]; p < 0.001); when controlling for the patients’ sex, marital status, type 2 diabetes mellitus and stroke, multiple stepwise linear regression analyses suggested that for CHD patients, comorbid primary hypertension had the significant influence on phobic anxiety (Coef., 0.178; 95% CI [0.010–0.347]; p = 0.038).

Conclusions

For elderly CHD patients, comorbid type 2 diabetes mellitus and stroke were at risk for psychological problems and lower QoL. Our findings may guide patients and clinicians to make better decisions and achieve better outcomes.

Quality of Life and Disability-free Survival in the Elderly: The Locomotive Syndrome and Health Outcome in Aizu Cohort Study

Objectives: The Short Form 12 Survey (SF-12) three-component model is used to compute health-related quality of life (QoL): it includes physical, mental, and role-social QoL. We asked whether the SF-12 three-component model is associated with disability-free survival. Methods: People ≥65 years old were included (n = 2634). SF-12 scores were assessed at baseline. The outcome was a composite of loss of independence (LoI) and death. LoI was defined using Japan's long-term care insurance categories. Hazard ratios (HRs) for LoI or death were estimated using Cox proportional hazards models. Results: Better physical QoL was inversely associated with LoI or death (adjusted HR per 10-point increase: .88 [95% CI: .81-.96]), but mental QoL was not. Better role-social QoL was inversely associated with LoI or death only among participants with higher than average physical QoL (adjusted HR per 10-point increase: .79 [95% CI: .65-.96], p for interaction = .04). Discussion: Physical QoL was associated with disability-free survival, and role-social QoL was associated with disability-free survival among those with better physical QoL.