Smoking, depression, and hospital costs of respiratory cancers: Examining race and sex variation

Analysis of Influencing Factors of Major Depression After Spinal Cord Injury

Objective

To analyze the risk factors of major depressive disorder (MDD) after spinal cord injury (SCI).

Methods

Patients with SCI in our hospital from February 2020 to February 2023 were selected as the study objects. According to the Hamilton Depression Scale (HAMD) score, patients with 36~75 points were included in the major depression group, and 0~35 points were included in the non-major depression group. The general sociological characteristics (age, gender, educational level, place of residence, family economic status, payment method of medical expenses, marital status) and disease-related characteristics (course of disease, cause of injury, neurological level of injury, type of injury, degree of pain) of all patients were collected, and the items with differences were selected for logistic regression analysis to analyze the risk factors for major depression in patients with spinal cord injury.

Results

Totally 216 patients were enrolled in our study, including 45 patients (18.98%) had moderate-to-severe depression and 175 patients (81.02%) had non-severe depression. Univariate analysis showed that gender (χ2 = 11.865, P < .001), course of disease (χ2 = 12.967, P < .001), family economic status (χ2 = 8.610, P = .003), educational level (χ2 =15.287, P < .001), neurological level of injury (χ2 = 9.013, P = .003) and pain level (χ2 = 16.673, P < .001) were statistically significant differences between the 2 groups. Multivariate logistic regression analysis showed that gender [odds ratio (OR) (95 % CI) = 3.986 (1.743~9.116), P = .001], course of disease [OR (95 % CI) = 4.033 (1.818~8.947), P = .001], family economic status [OR (95 % CI) = 3.136 (1.449~6.785), P = .004], educational level [OR (95 % CI) = 4.332 (1.998~9.388), P = .000], neurological level of injury [OR (95 % CI) = 2.848 (1.414~5.734), P = .003], and pain level [OR (95 % CI) = 5.767 (2.309~14.404), P < .001] were risk factors for major depressive disorder in SCI patients.

Conclusion

Gender, disease duration, family economic status, education level, level of nerve injury, and pain level may be the independent risk factors of MDD incidence in patients with spinal cord injury.

How do self-exempt beliefs affect intentions to quit smoking? An exploration of the mediating role of threat appraisal and coping appraisal

Introduction

Numerous smokers are cognizant of the detrimental effects associated with this habit yet exhibit a persistent reluctance to cease their tobacco consumption. Self-exempt beliefs serve as an obstacle to the cessation of this addictive behavior. This research explored the impact of self-exempt beliefs on the readiness to quit smoking based on the Protection Motivation Theory (PMT) model and the mediating roles of threat appraisal and coping appraisal.

Methods

Self-exempt beliefs, PMT constructs, and the intention to quit smoking constituted the theoretical model. The questionnaires were collected from 488 Chinese adult male smokers based on snowball sampling. Exploratory Factor Analysis (EFA) was used to examine the underlying factor structure of the pre-designed self-exempt beliefs scale. The reliability, validity, path coefficients, and explanatory power of the model were calculated using Partial Least Squares Structural Equation Modeling (PLS-SEM).

Results and discussion

The results showed that : (1) three common factors (skeptic beliefs, bulletproof beliefs, and "worth it" beliefs) with a total of 11 items were retained after EFA; (2) skeptic beliefs and "worth it" beliefs had a significantly negative effect on both threat appraisal and coping appraisal, while bulletproof beliefs did not; (3) bulletproof beliefs had a significantly positive direct impact on intention to quit, "worth it" beliefs had a significantly negative direct impact on intention, while skeptic beliefs had no significantly direct impact on intention; (4) threat appraisal and coping appraisal positively and significantly predicted cessation intention; and (5) threat appraisal and coping appraisal, as two main cognitive processes, acted as full mediations between skeptic beliefs and the intention to quit, as complementary partial mediations between "worth it" beliefs and the intention, and as non-mediation between bulletproof beliefs and the intention. Our findings suggest that efforts to undermine or "prevent" these self-exempt beliefs, particularly "worth it" and skeptic beliefs, may be an effective tactic for health communication interventions for quitting smoking.

Smoking Behaviors Among Black and Hispanic Cancer Patients: A Systematic Review of the Literature

Smoking is the leading cause of preventable disease and death in the United States. The risk of smoking poses an even greater threat for racial/ethnic minorities, particularly Black and Hispanic cancer patients who face a range of existing disparities in healthcare. Despite these risks for poor health outcomes among this population, little is known about the smoking behaviors of Black and Hispanic cancer patients. The purpose of this review was to understand differences in smoking prevalence, intensity, and cessation between Black, Hispanic, and non-Hispanic White cancer patients and survivors. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) approach as our framework, we conducted a systematic review of the literature. Our review discusses the methods, population, and implications of 37 included articles. Conclusions reflect the need to establish intentional and systematic measurement of smoking behaviors to best understand the risks of smoking among Black and Hispanic cancer patients.

Hospitalization Costs and Financial Burden on Families with Children with Depression: A Cross-Section Study in Shandong Province, China

Background: Depression, one of the most frequent mental disorders, affects more than 350 million people of all ages worldwide, with China facing an increased prevalence of depression. Childhood depression is on the rise; globally, and in China. This study estimates the hospitalization costs and the financial burden on families with children suffering from depression and recommends strategies both to improve the health care of children with depression and to reduce their families’ financial burden. Methods: The data were obtained from the hospitalization information system of 297 general hospitals in six regions of Shandong Province, China. We identified 488 children with depression. The information on demographics, comorbidities, medical insurance, hospitalization costs and insurance reimbursements were extracted from the hospital’s information systems. Descriptive statistics were presented, and regression analyses were conducted to explore the factors associated with hospitalization costs. STATA14 software was used for analysis. Results: The mean age of children with depression was 13.46 ± 0.13 years old. The availability of medical insurance directly affected the hospitalization costs of children with depression. The children with medical insurance had average total hospitalization expenses of RMB14528.05RMB (US$2111.91) and length of stay in hospital of 38.87 days compared with the children without medical insurance of hospital with expenses of RMB10825.55 (US$1573.69) and hospital stays of 26.54 days. Insured children’s mean out-of-pocket expenses (6517.38RMB) was lower than the those of uninsured children (RMB10825.55 or US$1573.69), significant at 0.01 level. Insured children incurred higher treatment costs, drug costs, bed fees, check-up fees, test costs and nursing fees than uninsured patients (p < 0.01). Conclusions: Children suffering from depression with medical insurance had higher hospitalization costs and longer hospitalization stays than children without medical insurance. While uninsured inpatients experienced larger out-of-pocket costs than insured patients, out-of-pocket hospital expenses strained all family budgets, pushing many, especially low-income, families into poverty—insured or uninsured. The different hospital cost structures for drugs, treatment, bed fees, nursing and other costs, between insured and uninsured children with depression, suggest the need for further investigations of treatment regimes, including over-demand by parents for treatment of their children, over-supply of treatment by medical staff and under-treatment of uninsured patients. We recommend more careful attention paid to diagnosing depression in girls and further reform to China’s health insurance schemes—especially to allow migrant families to gain basic medical insurance.

Impact of smoking on health system costs among cancer patients in a retrospective cohort study in Ontario, Canada

OBJECTIVE

Smoking is the main modifiable cancer risk factor. The objective of this study was to examine the impact of smoking on health system costs among newly diagnosed adult patients with cancer. Specifically, costs of patients with cancer who were current smokers were compared with those of non-smokers from a publicly funded health system perspective.

METHODS

This population-based cohort study of patients with cancer used administrative databases to identify smokers and non-smokers (1 April 2014-31 March 2016) and their healthcare costs in the 12-24 months following a cancer diagnosis. The health services included were hospitalisations, emergency room visits, drugs, home care services and physician services (from the time of diagnosis onwards). The difference in cost (ie, incremental cost) between patients with cancer who were smokers and those who were non-smokers was estimated using a generalised linear model (with log link and gamma distribution), and adjusted for age, sex, neighbourhood income, rurality, cancer site, cancer stage, geographical region and comorbidities.

RESULTS

This study identified 3606 smokers and 14 911 non-smokers. Smokers were significantly younger (61 vs 65 years), more likely to be male (53%), lived in poorer neighbourhoods, had more advanced cancer stage,and were more likely to die within 1 year of diagnosis, compared with non-smokers. The regression model revealed that, on average, smokers had significantly higher monthly healthcare costs ($5091) than non-smokers ($4847), p<0.05.

CONCLUSIONS

Smoking status has a significant impact on healthcare costs among patients with cancer. On average, smokers incurred higher healthcare costs than non-smokers. These findings provide a further rationale for efforts to introduce evidence-based smoking cessation programmes as a standard of care for patients with cancer as they have the potential not only to improve patients' outcomes but also to reduce the economic burden of smoking on the healthcare system.