Do sleep quality and psychological factors link precancerous conditions of colorectal cancer? A retrospective case-control study

Colorectal Cancer: Epidemiology, Risk Factors, and Prevention

Colorectal cancer (CRC) is the third most common cancer and the second most common cause of cancer mortality worldwide. There are disparities in the epidemiology of CRC across different populations, most probably due to differences in exposure to lifestyle and environmental factors related to CRC. Prevention is the most effective method for controlling CRC. Primary prevention includes determining and avoiding modifiable risk factors (e.g., alcohol consumption, smoking, and dietary factors) as well as increasing protective factors (e.g., physical activity, aspirin). Further studies, especially randomized, controlled trials, are needed to clarify the association between CRC incidence and exposure to different risk factors or protective factors. Detection and removal of precancerous colorectal lesions is also an effective strategy for controlling CRC. Multiple factors, both at the individual and community levels (e.g., patient preferences, availability of screening modalities, costs, benefits, and adverse events), should be taken into account in designing and implementing CRC screening programs. Health policymakers should consider the best decision in identifying the starting age and selection of the most effective screening strategies for the target population. This review aims to present updated evidence on the epidemiology, risk factors, and prevention of CRC.

A latent profile analysis of resilience and their relation to differences in sleep quality in patients with lung cancer

PURPOSE

Sleep problems are a significant issue in patients with lung cancer, and resilience is a closely related factor. However, few studies have identified subgroups of resilience and their relationship with sleep quality. This study aimed to investigate whether there are different profiles of resilience in patients with lung cancer, to determine the sociodemographic characteristics of each subgroup, and to determine the relationship between resilience and sleep quality in different subgroups.

METHODS

A total of 303 patients with lung cancer from four tertiary hospitals in China completed the General Sociodemographic sheet, the Connor-Davidson Resilience Scale, and the Pittsburgh Sleep Quality Index. Latent profile analysis was applied to explore the latent profiles of resilience. Multivariate logistic regression was used to analyze the sociodemographic variables in each profile, and ANOVA was used to explore the relationships between resilience profiles and sleep quality.

RESULTS

The following three latent profiles were identified: the "high-resilience group" (30.2%), the "moderate-resilience group" (46.0%), and the "low-resilience group" (23.8%). Gender, place of residence, and average monthly household income significantly influenced the distribution of resilience in patients with lung cancer.

CONCLUSION

The resilience patterns of patients with lung cancer varied. It is suggested that health care providers screen out various types of patients with multiple levels of resilience and pay more attention to female, rural, and poor patients. Additionally, individual differences in resilience may provide an actionable means for addressing sleep problems.

Psychological resilience and quality of life among middle-aged and older adults hospitalized with chronic diseases: multiple mediating effects through sleep quality and depression

BACKGROUND

The present study is intended to examine the multiple mediating roles of sleep quality and depression in the relationship between psychological resilience and quality of life in middle-aged and older adults hospitalized with chronic diseases.

METHODS

From October 2, 2021, to February 27, 2022, a questionnaire survey was conducted using a multistage stratified sampling method among 339 middle-aged and older adults (45 years and over) hospitalized with chronic diseases. These participants were recruited from a hospital in Zhejiang Province, China. The questionnaire included the Aged Cumulative Disease Rating Scale, the Psychological Resilience Scale, the Pittsburgh Sleep Quality Index Scale, the Depression Scale, and the Quality-of-Life Scale. A descriptive analysis was performed to characterize the sample. Linear regression was utilized to evaluate the relationship between psychological resilience and quality of life. Amos 24.0 was used to analyze the multiple mediated effects of sleep quality and depression.

RESULTS

Psychological resilience exerted a remarkable direct effect on the quality of life in middle-aged and older adults hospitalized with chronic diseases (β = 0.239, 95% CI = 0.125-0.354), which represented 52.98% of the total effect. Through three significantly mediated pathways indirectly affect the quality of life: (1) through the sleep quality pathway (β = 0.115, 95% CI = 0.056-0.201), which represented 25.39% of the total effect; (2) through the depression pathway (β = 0. 060, 95% CI = 0.023-0.114), which represented 13.24% of the total effect; and (3) through both the sleep quality and depression pathway (β = 0. 038, 95% CI = 0.019-0.074), which represented 8.39% of the total effect. The total mediating effect was 47.02%.

CONCLUSIONS

Sleep quality and depression mediate the relationship between psychological resilience and quality of life in middle-aged and older adults hospitalized with chronic diseases. Therefore, healthcare professionals and stakeholders should be concerned about the sleep status and mental health of middle-aged and older adults hospitalized with chronic diseases, strengthen their attention to psychological resilience, and provide interventions and treatment measures for hospitalized patients who have sleep problems and depressive tendencies.

Analysis of load status and management strategies of main caregivers of patients with malignant tumors of digestive tract

Caregiver load refers to the subjective and objective negative impact of caregivers in the care of patients, and excessive load will have a serious impact on patients and caregivers themselves and can reduce their quality of life. For the main caregivers, it not only needs to care for the patients in life and daily life, but also needs to pay the cost of treatment for the patients, coupled with the need to carry out their own original work, life, etc. excessive life pressure, economic pressure, work pressure, emotional pressure, etc. lead to heavy load of the main caregivers, which can easily cause caregivers to have different degrees of psychological problems, which will cause serious adverse effects on the caregivers themselves and cancer patients, not conducive to the construction of a harmonious family and society. This article analyzes the current situation of primary caregiver burden in patients with gastrointestinal malignant tumors, analyzes its influencing factors, and specifies specific treatment strategies. It is hoped to provide scientific guidance for later related research and application.