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Background: This study aimed to estimate healthy life expectancy (HLE) regarding anxiety, depression and their comorbidity among rural older adults., Methods: A total of 12,851 subjects (5790 men and 7061 women) enrolled from the Henan Rural Cohort Study were used to evaluate healthy status expectancy (HSE), and 10,096 (4475 men and 5621 women) of them were used to estimate health-adjusted life expectancy (HALE). The life expectancy was calculated using period life table, and HSE and HALE indicators were calculated via the Sullivan method., Results: For participants aged 60, the depression-free life expectancy (DFLE), anxiety-free life expectancy (AFLE), and depression- and anxiety-free life expectancy (DAFLE) were 23.0993, 23.3314, and 22.7206 years, respectively. The quality-adjusted life expectancy (QALE) of those with neither anxiety nor depression, with anxiety, with depression, and with comorbidity was 22.0727, 20.8751, 18.1484, and 17.0823 years, respectively. The ratio of DFLE (AFLE) to LE increased with age among both genders, while the DAFLE/LE showed a decreasing trend. Regardless of HSE or HALE indicators, women tended to have higher HLE, while HLE/LE was lower than men. Furthermore, all HLE indicators associated with anxiety were the largest in both genders compared to indicators regarding depression., Limitations: The HLE may be overestimated ignoring institutional population in the study., Conclusion: Anxiety and depression played essential roles in the quality of life among rural older adults, especially depression. Comorbidity would intensify the adverse effect in rural areas, especially for older men. More attention should be paid to the psychological problems among rural older population., Competing Interests: Conflict of interest The authors declared no conflict of interest., (Copyright © 2022 Elsevier B.V. All rights reserved.)

Background: Return to work following myocardial infarction (MI) represents an important indicator of recovery. However, MI can cause patients to feel pressure, loneliness and inferiority during work and even detachment from employment after returning to work, which may affect their quality of life. The aims of this study were to identify the influencing factors of Health-related quality of life (HRQoL) in patients with MI after returning to work and explore the correlations between these factors and HRQoL., Method: This was a cross-sectional study. All participants were recruited from tertiary hospitals in China from October 2017 to March 2018. The general data questionnaire, Short-Form Health Survey-8 (SF-8), Health Promoting Lifestyle ProfileII (HPLPII), Medical Coping Modes Questionnaire (MCMQ) and Social Supporting Rating Scale (SSRS) were used to assess 326 patients with myocardial infarction returned to work after discharge. Multiple linear regression analysis was performed to explore factors related to HRQoL in patients with MI after returning to work., Results: The sample consisted of 326 patients. The mean total score of quality of life was 28.03 ± 2.554. According to the multiple linear regression analysis, next factors were associated with better HRQoL: younger age (B = - 0.354, P = 0.039), higher income (B = 0.513, P = 0.000), less co-morbidity (B = - 0.440, P = 0.000), the longer time taken to return to work (B = 0.235, P = 0.003), fewer stents installed (B = - 0.359, P = 0.003), participation in cardiac rehabilitation (CR) (B = - 1.777, P = 0.000), complete CR (B = - 1.409, P = 0.000), better health behaviors such as more health responsibility (B = 0.172, P = 0.000) and exercise (B = 0.165, P = 0.000), better nutrition (B = 0.178, P = 0.000) and self-realization (B = 0.165, P = 0.000), stress response (B = 0.172, P = 0.000), more social support such as more objective support (B = 0.175, P = 0.000), subjective support (B = 0.167, P = 0.000) and better utilization of social support (B = 0.189, P = 0.028), positive copping strategies such as more coping (B = 0.133, P = 0.000) and less yield (B = - 0.165, P = 0.000)., Conclusions: HRQoL of MI patients after returning to work is not satisfactory. Health behavior, coping strategies, social support are factors which can affect HRQoL. A comprehensive and targeted guide may be a way to improve HRQoL and to assist patients' successful return to society.

Purpose: The status and associated factors of the health-related quality of life of non-small-cell lung cancer (NSCLC) patients under targeted anti-cancer therapy have not been investigated. Self-management and coping style have been proven to be closely related to patients' health-related quality of life. Based on these observations, this study was designed to firstly assess the status of health-related quality of life, and then explore the relationships among coping styles, self-management, and health-related quality of life of NSCLC patients with skin adverse drug reactions under targeted therapy.Methods: We performed a cross-sectional study including 536 NSCLC patients with skin adverse drug reactions under targeted therapy in cancer clinics of three hospitals in China between May 2020 and May 2021. Structured questionnaires, including the Functional Assessment of Cancer Therapy-Epidermal Growth Factor Receptor Inhibitor 18, Cancer Patient Self-management Evaluation Scale, and Medical Coping Modes Questionnaire, were used to collect data. Relationships among coping style, self-management, and health-related quality of life were identified by Pearson correlation analysis and a multiple linear regression algorithm.Results: The total score of health-related quality of life was 46 ± 12.84 in 536 NSCLC patients with skin adverse drug reactions undergoing targeted therapy. Health-related quality of life was positively correlated with self-management (r = 0.785, P < 0.01) and facing (r = 0.807, P < 0.01) and negatively correlated with yield (r =  - 0.718, P < 0.01), avoidance (r =  - 0.711, P < 0.01), and the severity of skin adverse reactions (r =  - 0.722, P = 0.000). Via multiple linear regression analysis, we identified some significant factors associated with health-related quality of life, including age, education level, combination of medicine, Charlson Comorbidity Index, stages of disease, facing, yield, symptom management, daily activity management, psychological and emotional management, self-efficacy, and self-management (P < 0.05).Conclusions: NSCLC patients with skin adverse drug reactions undergoing targeted therapy generally had a compromised health-related quality of life. The critical factors that were associated with the status of health-related quality of life were age, education level, comorbidity, the combinatorial application of drugs, stage of disease, self-management, and coping styles. [ABSTRACT FROM AUTHOR]

Background: The adverse reactions (ADRs) of targeted therapy were closely associated with treatment response, clinical outcome, quality of life (QoL) of patients with cancer. However, few studies presented the correlation between ADRs of targeted therapy and treatment effects among cancer patients. This study was to explore the characteristics of ADRs with targeted therapy and the prognosis of cancer patients based on the clinical data.Methods: A retrospective secondary data analysis was conducted within an ADR data set including 2703 patients with targeted therapy from three Henan medical centers of China between January 2018 and December 2019. The significance was evaluated with chi-square test between groups with or without ADRs. Univariate and multivariate logistic regression with backward stepwise method were applied to assess the difference of pathological characteristics in patients with cancer. Using the univariate Cox regression method, the actuarial probability of overall survival was performed to compare the clinical outcomes between these two groups.Results: A total of 485 patients were enrolled in this study. Of all patients, 61.0% (n = 296) occurred ADRs including skin damage, fatigue, mucosal damage, hypertension and gastrointestinal discomfort as the top 5 complications during the target therapy. And 62.1% of ADRs were mild to moderate, more than half of the ADRs occurred within one month, 68.6% ADRs lasted more than one month. Older patients (P = 0.022) and patients with lower education level (P = 0.036), more than 2 comorbidities (P = 0.021), longer medication time (P = 0.022), drug combination (P = 0.033) and intravenous administration (P = 0.019) were more likely to have ADRs. Those with ADRs were more likely to stop taking (P = 0.000), change (P = 0.000), adjust (P = 0.000), or not take the medicine on time (P = 0.000). The number of patients with recurrence (P = 0.000) and metastasis (P = 0.006) were statistically significant difference between ADRs and non-ADRs group. And the patients were significantly poor prognosis in ADRs groups compared with non-ADRs group.Conclusion: The high incidence of ADRs would affect the treatment and prognosis of patients with cancer. We should pay more attention to these ADRs and develop effective management strategies. [ABSTRACT FROM AUTHOR]