Associations between health-related quality of life and smoking status among a large sample of U.S. adults

The visceral adiposity index is associated with asthma, especially current asthma: A cross-sectional study of NHANES, 2003 to 2018

To investigate the association between the visceral adiposity index (VAI) and asthma using data from National Health and Nutrition Examination Survey 2003 to 2018 by a cross-sectional study. We explored the potential relationship between the VAI and asthma incidence via a cross-sectional study of the National Health and Nutrition Examination Survey from 2003 to 2018. Multiple logistic regression analysis, restricted cubic spline analysis and subgroup analysis were performed. Among the 80,312 participants, 1984 had been told by a doctor or other health professional, and 1142 still had asthma. With all confounders controlled, the VAI was positively associated with asthma incidence (odds ratios 1.04, 95% confidence interval: 1.01, 1.08). When comparing the second, third, and fourth VAI quartiles to the lowest quartile, the adjusted odds ratios (95% confidence intervals) for asthma risk were 1.02 (0.86, 1.21), 1.14 (0.96, 1.36), and 1.18 (1, 1.39), respectively (P for trend = .02). Subgroup analysis revealed no significant interaction effect among the subgroups (P > .05). The positive association was stronger in current asthma patients (odds ratios 1.13, 95% confidence interval: 1.03, 1.24). When comparing the second, third, and fourth VAI quartiles to the lowest quartile, the adjusted odds ratios for current asthma risk were 1.15 (0.81, 1.64), 1.29 (0.91, 1.84), and 1.51 (1.01, 2.24), respectively (P for trend .04). The restricted cubic spline regression analysis did not reveal a nonlinear correlation between the VAI and asthma or current asthma. Subgroup analysis revealed a significant interaction effect between age (P for interaction = .03) and diabetes status (P for interaction = .02). Except in the age ≥60 years, Less than high school, normal body mass index subgroup, VAI, and current asthma were positively correlated. A positive relationship between the VAI and asthma incidence was observed. In particular, there was a strong positive correlation between the VAI score and current asthma. According to the subgroup analysis, more attention should be given to individuals aged 40 to 59 years who have diabetes.

The association between ultra-processed food consumption and health-related quality of life differs across lifestyle and socioeconomic strata

BACKGROUND

In this prospective study, we aimed to examine the association between ultra-processed foods and health-related quality of life (HRQoL) and to evaluate the effect of lifestyle and socioeconomic factors on this association.

METHODS

This study included 1766 adults (aged 18 to 78, 54.3% women), who took part in the Tehran Lipid and Glucose study. The Short-Form 12-Item Health Survey version 2 was used to determine HRQoL, which includes the physical component summary (PCS) and mental component summary (MCS) scores. Ultra-processed food consumption was assessed using a validated semi-quantitative food frequency questionnaire. Lifestyle (physical activity and smoking status) and socioeconomic factors (education level and employment status) were also determined. General linear models (GLM) were applied to estimate the mean (95% confidence interval) for MCS and PCS scores across the ultra-processed foods tertiles. Additionally, the effect of lifestyle and socioeconomic factors on the relationship between ultra-processed foods and HRQoL was examined using GLM.

RESULTS

The median consumption of ultra-processed foods was 11.9% (IQR: 8.2 to 16.8) of total energy intake. There was a significant inverse association between ultra-processed foods consumption and PCS, but not MCS, after adjustment for confounding factors. Significant interactions were observed between ultra-processed food consumption, sex, and occupation on PCS score (all P values < 0.001). The interaction test tended to be significant for smoking status, education levels, and physical activity levels. As ultra-processed food consumption increased, the PCS score significantly decreased in women (P = 0.043), low physical active subjects (P = 0.014), smokers (P = 0.015), and lower-educated individuals (P = 0.022). Non-employed individuals with higher ultra-processed food intake showed a decline in their PCS and MCS scores. While there was no significant difference in MCS score among different strata of lifestyle and socioeconomic status across tertiles of ultra-processed foods.

CONCLUSIONS

Higher intake of ultra-processed foods was associated with poorer physical health, particularly among women, those with unhealthy lifestyles, and low socioeconomic conditions.

Association between a body shape index and prostate cancer: a cross-sectional study of NHANES 2001-2018

OBJECTIVE

Abdominal obesity, especially visceral fat, may have negative effects on the development and progression of prostate cancer (PCa). A body shape index (ABSI) can more accurately measure visceral fat accumulation. This study aimed to investigate the association between ABSI and PCa in US adults.

METHODS

11,013 participants were enrolled in the National Health and Nutrition Examination Survey from 2001 to 2018. Weighted multivariate logistic regression analyses were employed to explore the independent relationship between ABSI and PCa. Moreover, restricted cubic spline (RCS) analysis, subgroup analysis, and interaction tests were performed.

RESULTS

ABSI was positively associated with the presence of PCa. When comparing the second, third, and fourth ABSI quartile to the lowest quartile, the adjusted odds ratios (95% confidence intervals) for PCa risk were 1.34 (0.77, 2.31), 1.75 (1.03, 3.00), and 1.91 (1.12, 3.27), respectively (p for trend = 0.011). The restricted cubic spline regression analysis did not reveal a non-linear correlation between ABSI and PCa (p for non-linearity = 0.076). Subgroup analysis showed a significant interaction effect in subgroups of different BMI (p for interaction = 0.01).

CONCLUSIONS

Elevated ABSI is significantly associated with an increased risk of PCa, particularly among individuals who are under/normal weighted or obese.

Analysis of Health-Related Quality of Life in Elderly Patients with Stroke Complicated by Hypertension in China Using the EQ-5D-3L Scale

Purpose

To evaluate the health-related quality of life(HRQoL)status of elderly patients with hypertensive stroke, to understand the factors influencing it, and to provide a basis for the development of health intervention policies.

Patients and Methods

This study used the EQ-5D-3L scale to assess the HRQoL among elderly patients who experienced a stroke related to high blood pressure. Various analytical methods were employed to examine the factors that influenced the patient's quality of life. Univariate analysis, Tobit regression, random forest, and XGBoost models were applied to analyze the HRQoL of the patients. Furthermore, to interpret the machine learning results, the SHAP method was utilized. This method involved assessing the importance of each feature, examining the effect of each feature on the prediction result of a single sample, and determining the impact of individual features on the overall prediction.

Results

The study found that the median health utility value for elderly patients with hypertensive stroke was 0.427, with an interquartile range of 0.186 to 0.745. The results of the Tobit regression model, Random Forest, and XGBoost model were compared. The results of the model evaluation show that the performance of the machine learning model and the Tobit regression model are not very different. The XGBoost model performs slightly better relative to the random forest model. The factors that strongly influenced the health utility value of patients included BMI, social activities, smoking, education level, alcohol consumption, urban/rural residence, annual income, physical activity level, and hours of sleep at night.

Conclusion

Health-related quality of life in hypertensive stroke patients is influenced by a variety of factors. Health-related quality of life can be positively influenced by modifying these factors and making lifestyle adjustments. Maintaining a healthy weight, being socially active, quitting smoking, improving living conditions, increasing physical activity levels and getting enough sleep are recommended. Lifestyle changes need to be developed for each individual on a case-by-case basis and by medical advice.

Implications of Switching from Conventional to Electronic Cigarettes on Quality of Life and Smoking Behaviour: Results from the EQualLife Trial

INTRODUCTION

Electronic cigarettes and "vaping" have become popular since their appearance in Europe and the USA in approximately 2006. They are often perceived as having fewer health risks than conventional cigarettes, which makes them of interest as a support tool in smoking cessation. However, its efficacy regarding cessation or reduction of smoking under real-life conditions remains controversial. Our objective was to clarify this question in an observational study of smoking habits after initiating vaping without targeted intervention, as compared to a validated cessation programme.

METHODS

From October 2015 to April 2018, 80 subjects (60 in the e-cigarette group and 20 in the supervised smoking cessation group) were included in two trial visits, one at the start of the trial and the second after 3 months, plus 4 questionnaire surveys: at the start of the trial and after a 1, 2, and 3 month period. The questionnaire included a nicotine use inventory, a modified Fagerström test for nicotine dependence, and the WHO-QOL-BREF survey.

RESULTS

E-cigarettes were effective, leading to a significant (p < 0.03) reduction (p < 0.03) in tobacco consumption and nicotine dependence, with an abstinence rate of 43% after 3 months. Compared to participants in the smoking cessation programme, their use was not associated with an improvement in quality of life during the quitting attempt, and there were no significant differences in clinical symptoms between groups. The reduction in nicotine dependence was more pronounced (p < 0.012) for the smoking cessation programme, with higher abstinence rates (p = 0.011 after 12 weeks) and lower (p < 0.003) remaining tobacco consumption compared to electronic cigarettes.

DISCUSSION/CONCLUSIONS

The use of electronic cigarettes reduced nicotine dependence and tobacco consumption, but a supervised smoking cessation programme was superior in terms of achieved cessation in both regards. Electronic cigarettes did not improve the quality of life. Since e-cigarettes could be associated with long-term health risks, their usefulness in smoking cessation remains questionable, and a professionally guided and validated smoking cessation programme still appears to be superior and preferable, in terms of achieved cessation. Although this trial is limited regarding the number of participants and follow-up time, it highlights the need for additional, large clinical trials evaluating the efficacy of e-cigarettes for smoking cessation in comparison to a professionally guided smoking cessation programme.

Impact of smoking status on health-related quality of life (HRQoL) in cancer survivors

Introduction

The Health-Related Quality of Life (HRQoL) often declines among cancer survivors due to many factors. Some cancer patients who smoke before the cancer diagnosis continue this harmful habit, potentially contributing to a more significant decline in their HRQoL. Therefore, this study investigates the association between smoking status and HRQoL in cancer survivors.

Methods

We conducted a cross-sectional study utilizing self-reported cancer history from 39,578 participants of the Behavioral Risk Factor Surveillance System (BRFSS) database, leveraging 2016 and 2020 year questionaries. A multidimensional composite outcome was created to assess HRQoL, integrating four distinct dimensions - general health, mental health, physical health, and activity limitations. After accounting for the complex survey design, logistic regression models were used to analyze the association between smoking status and poor HRQoL, adjusting for demographic, socioeconomic, and health-related confounders.

Results

Our study found that, after adjusting for potential confounders, current smokers exhibited a significantly poorer HRQoL than never smokers (OR 1.65, 95%CI 1.40-1.93). Furthermore, former smokers showed a poorer HRQoL than never smokers; however, this association was not as strong as current smokers (OR 1.22, 95%CI 1.09-1.38).

Conclusion

Our findings highlight the adverse association of smoking with poor HRQoL in cancer survivors, underscoring the importance of healthcare professionals prioritizing smoking cessation and providing tailored interventions to support this goal.

Insufficient Lycopene Intake Is Associated With High Risk of Prostate Cancer: A Cross-Sectional Study From the National Health and Nutrition Examination Survey (2003-2010)

Although lycopene intake and risk of prostate cancer have been explored for decades, recent studies show that Non-Hispanic Black Prostate Cancer (PCa) patients benefit less than Non-Hispanic White patients from a lycopene intake intervention program. This study examined whether a lycopene intake-related racial disparity exists in reducing the risk of PCa in healthy adults. Data on healthy, cancer-free Non-Hispanic Black (NHB) men (n = 159) and Non-Hispanic White (NHW) men (n = 478) from the 2003 to 2010 NHANES dataset were analyzed. Total lycopene intake from daily diet, age, living status, race/ethnicity, education level, poverty income ratio, body mass index, and smoking status were studied as independent variables. The combination of total Prostate-Specific Antigen (PSA) level and the ratio of free PSA was set as criteria for evaluating the risk of PCa. Multivariable logistic regression was used in race-stratified analyses to compute odds ratios (OR) and 95% confidence intervals (95% CI) comparing high PCa risk with low PCa risk. We found, in the whole population, race/ethnicity was the only factor that influenced lycopene intake from the daily diet. NHB men consumed less lycopene than NHW men (3,716 vs. 6,487 (mcg), p = 0.01). Sufficient lycopene intake could reduce the risk of PCa (OR: 0.40, 95% CI: 0.18-0.85, p = 0.02). Men aged between 66 and 70 had high PCa risk (OR: 3.32, 95% CI: 1.12-9.85, p = 0.03). Obesity served as a protective factor against the high risk of PCa (OR: 0.25, 95% CI: 0.12-0.54, p = 0.001). NHW men aged between 66 and 70 had a high risk of PCa (OR: 4.01, 95% CI: 1.02-15.73, p = 0.05). Obese NHW men also had lower risk of PCa (OR: 0.18, 95% CI: 0.07-0.47 p = 0.001). NHB men had a high risk of PCa compared to NHW men (OR: 2.27, 95% CI: 1.35-3.81 p = 0.004). NHB men who were living without partners experienced an even higher risk of PCa (OR: 3.35, 95% CI: 1.01-11.19 p = 0.07). Sufficient lycopene intake from daily food could serve as a protector against PCa. Such an association was only observed in NHW men. Further studies are needed to explore the dose-response relationship between lycopene intake and the association of PCa risk in NHB men.

Association between Time to First Cigarette and Health-Related Quality of Life of Middle-Aged Male Current Smokers: A Nationwide Representative Study in Korea

BACKGROUND

Although many studies have demonstrated that the first cigarette in the morning increases the prevalence of smoking-related morbidity, limited studies have examined the impact of time to first cigarette (TTFC) on the health-related quality of life (HRQoL). Thus, we assessed this relationship using nationally-representative data from the Korea National Health and Nutrition Examination Survey VII-1 (2016).

METHODS

We conducted a cross-sectional study using data from 577 current male smokers aged 30-59 years, after excluding those with a certain disease. Participants were divided into four categories according to TTFC (≤5 min, 6-30 min, 31-60 min, >60 min). HRQoL was measured using self-reported EuroQol-5 (EQ-5D). The relationship between TTFC and EQ-5D index was analyzed using a multivariate-adjusted generalized linear model to assess how HRQoL varies according to TTFC. After adjusting for confounders, a multivariate-adjusted logistic regression analysis was performed to identify which of the five dimensions of the EQ-5D affected the HRQoL according to TTFC.

RESULTS

The generalized linear analysis indicated that as TTFC decreased (6-30 min, 31-60 min vs. >60 min), the EQ-5D index score decreased significantly (P=0.037). Shorter TTFC (≤5 min vs. >60 min) was associated with higher pain/discomfort (odds ratio [OR], 3.82; 95% confidence interval [CI], 1.39-10.48) and anxiety/depression (OR, 7.58; 95% CI, 1.75-32.88).

CONCLUSION

Higher nicotine dependence was associated with impaired HRQoL. These results may be used to improve smoking cessation treatment outcomes.

Health Behaviors and Health-Related Quality of Life Among U.S. Adults Aged 18-64 Years

INTRODUCTION

This study aims to (1) describe the prevalence and clustering of 3 health behaviors, (2) examine the association between individual health behaviors and health-related quality of life, and (3) explore the association between the clustering of the health behaviors and health-related quality of life.

METHODS

Investigators analyzed a sample of U.S. adults aged 18-64 years using data from the 2016-2018 Behavioral Risk Factor Surveillance System survey in March 2020. Logistic regression models examined the associations among 3 healthy behaviors (currently not smoking, physical activity, and nonheavy alcohol consumption) and 4 indicators of health-related quality of life (general health, physical health, mental health, and activity limitation). Alpha was set at 0.01.

RESULTS

A total of 450,870 individuals were included in the analysis (weighted n=100,102,329). Of these, 82.0% were current nonsmokers, 92.8% were nonheavy drinkers, and 77.6% reported physical activity. The prevalence of having none, 1, 2, and 3 of the health behaviors was 0.7%, 7.7%, 30.1%, and 61.5%, respectively. Smoking status and physical activity status were significantly associated with all the 4 health-related quality of life indicators. Alcohol status was significantly associated with mental health and activity limitation. The associations demonstrated a higher health-related quality of life among individuals who reported healthy behaviors than among those who did not engage in healthy behaviors. Compared with respondents who reported none of the health behaviors, people with all 3 health behaviors were more likely to report higher health-related quality of life.

CONCLUSIONS

Health behaviors were significantly associated with health-related quality of life among U.S. adults. Healthy behaviors should be encouraged because adopting these behaviors may contribute to a higher health-related quality of life.

Are lifestyle factors significantly associated with self-rated health among Japanese female healthcare students?

Background

Self-rated health (SRH), a subjective perception of an individual’s overall health, is widely used in public health assessment. The transition from adolescence to young adulthood is a critical period involving substantial changes in lifestyle and dietary habits. Therefore, it is important to understand SRH among young Japanese females. The present study aimed to investigate the relationships between SRH among female healthcare students and their lifestyle factors, such as living status (living with others or living alone), smoking habit, alcohol consumption, frequency of breakfast consumption (FBC), physical activity, insomnia, and physique recognition.

Methods

A cross-sectional survey was conducted on 1101 female healthcare students in Japan. The body mass index was calculated from the body height and weight using data from periodic health examinations. Self-reported sociodemographic, lifestyle or dietary habits, physical activity, and SRH were used through a self-administered questionnaire. Participants were classified as having either good SRH (excellent, very good, or good) or impaired SRH (fair or poor). Multivariate logistic regression analysis was performed to investigate the independent relationships between SRH and lifestyle factors.

Results

A total of 11.4% participants demonstrated impaired SRH. Multivariate logistic regression analysis showed that the University of California Los Angeles activity score, Athens Insomnia Scale, and physique recognition were associated with SRH.

Conclusions

It was suggested that public health activities that consider physical activity, sleep, and physique recognition may help maintain and improve SRH in female university students in Japan.

Association between health-related quality of life and sense of coherence among health professionals working in primary health centers consuming tobacco in Jaipur, India

Background:

Health-related quality of life (HRQOL) and senses of coherence (SoC) can be affected by the use of tobacco. Hence, the aim of the present study was to explore the association between HRQOL and SoC among health professionals working in primary health centers (PHCs) consuming Tobacco.

Materials and Methods:

It was a cross-sectional descriptive study where sampling technique used was systematic stratified random sampling. Jaipur District has 37 PHCs retrieved from site of NRHM Rajasthan. A close-ended questionnaire was prepared to conduct the interview.

Results:

Majority of study participants (57; 37.01%) were of 36–40 years of age. Males respondents (86; 55.85%) consuming tobacco were more in number than female respondents. Majority of study subjects (91; 59.09%) consumed smoked kind of tobacco, in which most contributed were nurses (49; 62.82%). On applying a linear regression model, it was determined that all subscale of SF-36 was significantly (P ≤ 0.000) associated with SoC.

Conclusion:

From above, it was concluded that there was a strong association between HRQOL and SoC among health professionals working in primary health centers consuming tobacco.

Is it Time to Quit? Smoking Persistence and Self-Rated Health

This study evaluates the impact of smoking on self-rated health using a British cohort born in 1970 that was followed through adult life. Records were taken for this dataset many times; individual self-rated health was first recorded in 1996 at age 26, and afterward at ages 30, 34, and 42. The smoking rate over time determined membership in the groups of current-smokers, never-smokers, and former-smokers. Estimates showed that the current-smokers group produced an increase in the probability of being in poor health with respect to never-smokers of about 10 percentage points in the long term. This result was also consistent when we used former-smokers as the control group, or other model specifications. The baseline estimates were not contradicted by robustness checks and policy implications of these results were discussed.

The Role of Physical Activity in the Association Between Smoking Status and Quality of Life

OBJECTIVES

Nonsmoking status and physical activity have, individually, been shown to be associated with health-related quality of life (HRQoL). The objective of this study was to assess whether the relationship between smoking status and HRQoL is modified or influenced by physical activity.

METHODS

Data were extracted from the 2014 Behavioral Risk Factor Surveillance Survey dataset (N = 332680) in 2015. Logistic regression models were used to address study objectives. Health-related quality of life (HRQoL), measured using eight domains (general health, physical health, mental health, activity limitations, pain, depressive symptoms, anxiety, and vitality), was regressed on smoking status without and with adjustment for age, race, gender, education, marital status, income, employment, healthcare coverage, comorbidity, body mass index, flu vaccination, alcohol use, and physical activity. Smoking status by physical activity interaction term was added to the adjusted model and evaluated for significance.

RESULTS

There were significant smoking status by physical activity interaction effects on general health, physical health, activity limitations, and depressive symptoms domains. Among those who exercised, relative differences in the odds of a high HRQoL was smaller between former smokers and nonsmokers and larger between current smokers and nonsmokers when compared to those who did not exercise. Similarly, there were sharper relative differences between those who exercised and those who did not exercise among former smokers than among current smokers.

CONCLUSIONS

Smokers who successfully quit smoking (former smokers) may benefit from enhanced HRQoL that tends towards that of nonsmokers if they adopt physical activity in their daily routine.

IMPLICATIONS

Behavioral interventions that combine smoking cessation and physical activity may be more effective than either smoking cessation or physical activity alone in improving the quality of life measures such as overall, physical and mental health, and degree of limitation to activities due to poor health. Health care providers can support patients who successfully quit smoking to add exercise to their daily routine with the expectation of enhanced HRQoL.

Quality of Life for 19,114 participants in the ASPREE (ASPirin in Reducing Events in the Elderly) study and their association with sociodemographic and modifiable lifestyle risk factors

PURPOSE

To explore the relationship between sociodemographic and lifestyle variables with health-related quality of life (HRQoL) of a large cohort of 'healthy' older individuals.

METHODS

The sample included individuals aged 65+ years from Australia (N = 16,703) and the USA (N = 2411) enrolled in the ASPirin in Reducing Events in the Elderly (ASPREE) multicentre placebo-controlled trial study and free of cardiovascular disease, dementia, serious physical disabilities or 'fatal' illnesses. The associations with the physical (PCS) and mental component scores (MCS) of HRQoL (SF-12 questionnaire) were explored using multiple linear regression models from data collected at baseline (2010-2014).

RESULTS

The adjusted PCS mean was slightly higher in the USA (49.5 ± 9.1) than Australia (48.2 ± 11.6; p < 0.001), but MCS was similar in both samples (55.7 ± 7.5 and 55.7 ± 9.6, respectively; p = 0.603). Males, younger participants, better educated, more active individuals, or those currently drinking 1-2 alcoholic drinks/day showed a better HRQoL (results more evident for PCS than MCS), while current heavy smokers had the lowest physical HRQoL in both countries. Neither age, walking time, nor alcohol intake was associated with MCS in either cohort.

CONCLUSIONS

Baseline HRQoL of ASPREE participants was higher than that reported in population-based studies of older individuals, but the associations between sociodemographic and lifestyle variables were consistent with the published literature. As the cohort ages and develops chronic diseases, ASPREE will be able to document HRQoL changes.

Racial and Income Disparities in Health-Related Quality of Life among Smokers with a Quit Attempt in Louisiana

Background and objectives: Smoking is associated with a lower health-related quality of life (HRQOL). However, there is little information about the association between HRQOL in relation to race, income, and smoking status. The present study aimed to assess the association between HRQOL and smoking status for those of different races and income levels. Materials and Methods: This study applied a cross-sectional design using data from the 2017 patient survey of the Louisiana Tobacco Control Initiative. We obtained 1108 responses from patients at eight Louisiana public hospitals. The EuroQol (EQ-5D) US index score assessed HRQOL. Smoking status was classified into four groups: never smoked, former smoker, current smoker with a quit attempt, and current smoker without a quit attempt. Multivariate linear regression analyses were used to estimate the HRQOL for black or African Americans and whites. Results: The patients were predominantly black or African American (58.9%) with lower-income (71.2%). Bivariate analyses showed that there were differences in income levels between black or African Americans and whites (p = 0.006). Moreover, black or African Americans (median = 0.80) had a higher mean of HRQOL than whites (median = 0.76). Among lower-income black or African Americans, current smokers with a quit attempt had a lower HRQOL than current smokers (coefficient = -0.12; p < 0.01). Conclusions: Racial and income disparities were evident with regards to HRQOL, with lower-income black or African Americans who were current smokers with a quit attempt having a lower HRQOL. Intervention programs for smoking cessation should target lower-income black or African American smokers who have a prior quit attempt and provide effective cessation services to help them quit smoking and improve their HRQOL.

Assessment of age-related differences in smoking status and health-related quality of life (HRQoL): Findings from the 2016 Behavioral Risk Factor Surveillance System

Despite significant declines in the use of cigarettes, a significant proportion of adults smoke. This study explores the association between smoking and health-related quality of life (HRQoL) by age. The 2016 Behavioral Risk Factor Surveillance System survey was administered to adults in 50 states and District of Columbia (n = 437,195). Physically unhealthy days (PUDs) and mentally unhealthy days (MUDs)) were regressed on age strata (18-24, 25-34, 35-44, 45-54, 55-64, ≥ 65 years) and smoking status (never, former, someday, and everyday) using negative binomial regression models with adjustment for sociodemographic covariates. For each age group, everyday smoking highly predicted PUDs and MUDs. Predicted PUDs increased with age; predicted MUDs decreased with age. Among adults aged 45-54 and 55-64 years, 3-day difference in PUDs was observed between never smokers and everyday smokers. Among young adults (18-24 years), a 4.3-day difference in MUDs was observed between everyday and never smokers. The discrepancies were nonlinear with age. The observed relationship between smoking and HRQoL provides novel information about the need to consider age when designing community-based interventions. Additional research can provide needed depth to understanding the relationship between smoking and HRQoL in specific age groups.

Relationship between Tobacco Use and Health-Related Quality of Life (HRQoL) among Clients in Substance Use Disorders Treatment

We examined relationships of smoking status and tobacco-related variables with health-related quality of life (HRQoL), a metric of disease burden, among clients in substance use disorders (SUDs) treatment. Participants (N = 2,068; 46.6% female) completed surveys reporting demographics, smoking status, and past-month days they experienced physical and/or mental health distress. Smokers (n = 1,596; 77.2% of sample) answered questions on tobacco-related variables. Multinomial regression models assessed relationships between tobacco-related variables (smoking status, nicotine dependence, menthol smoking, electronic-cigarette use, health concerns, and cost as reasons affecting reducing/quitting smoking, past and future quit attempts) with HRQol in four categories (good health, physical health distress, mental health distress, or both physical and mental health distress). Current smokers were more likely than former smokers to report frequent physical and mental health distress than good health (OR = 1.97, 95% CI = 1.16, 3.34), as were smokers with higher nicotine dependence (OR = 1.18, 95% CI = 1.03, 1.35). Smokers reporting both frequent physical and mental health distress were more sensitive to cigarettes' cost (OR = 1.56, 95% CI = 1.06, 2.29), and less likely to use e-cigarettes (OR = 0.59, 95% CI = 0.38, 0.94). Findings of poor HRQoL among nicotine-dependent smokers with additional SUDs strengthen the imperative to provide smoking cessation interventions in addictions treatment.

Social and Structural Determinants of Smoking Status and Quit Attempts Among Adults Living in 12 US States, 2015

PURPOSE

This study examined the relationships among intermediary determinants, structural determinants, and adult smoking status and quit attempts.

DESIGN

Secondary data analysis of cross-sectional data.

SETTING

Data come from the 2015 Behavioral Risk Factor Surveillance System (BRFSS), Social Context module. A national, representative sample from 12 US states (Alabama, Arkansas, Delaware, District of Columbia, Georgia, Louisiana, Minnesota, Mississippi, Missouri, Rhode Island, Tennessee, and Utah).

PARTICIPANTS

A total of 64 053 noninstitutionalized US adults aged ≥18 years.

MEASURES

Smoking status and quit attempts were outcome variables. Individual-level structural determinants (age, sex, race/ethnicity, marital status, education, and employment status) and intermediary determinants (housing insecurity, food insecurity, health insurance, binge drinking, and general health mental health) from BRFSS.

ANALYSIS

Weighted multivariate, multinomial logistic regression.

RESULTS

Current smoking was greater among men, respondents aged between 35 to 64 and 55 to 64, adults who reported food insecurity, housing insecurity, frequent mental distress, binge drinking, and who were unemployed. Current smokers had higher odds of making quit attempts in the past 12 months if they were non-Hispanic Black, graduated college, and reported food and housing insecurity.

CONCLUSION

Multifaceted smoking cessation interventions that address food and housing needs also incorporate screening for potential comorbidities such as mental distress and/or hazardous alcohol use and may be needed to enhance smoking cessation rates among racially diverse adults.

Health-Related Quality of Life of Community Thyroid Cancer Survivors in Hangzhou, China

BACKGROUND

The purpose of this study was to evaluate health-related quality of life (HRQoL) of community thyroid cancer survivors in Hangzhou, China, and to explore the important correlates defining HRQoL.

METHODS

All thyroid cancer patients who met study criteria in 183 communities were invited to participate (N = 1551). A self-administered questionnaire including collection of personal information and HRQoL instruments was completed by each participant (n = 970), with a response rate of 62.5%. HRQoL was assessed using the Short Form 36 Health Survey and the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire. Data for comparison were derived from a representative Hangzhou community sample (N = 1790). After bivariate analyses, multiple linear regression analyses were conducted to investigate independent associations between socio-demographic variables, clinical characteristics, life-style behaviors, and HRQoL.

RESULTS

Information from 965 participants was available for analysis. A total of 92.1% were diagnosed with papillary thyroid cancer, known as the most common type of thyroid cancer. In general, thyroid cancer survivors have impaired quality of life compared to the age- and sex-matched reference population using the Short Form 36 Health Survey. Thyroid cancer survivors reported the highest level of fatigue and insomnia. Multivariable regression analyses showed that being employed, higher education, and per capita disposable income (24,000-56,000 ¥ per year), and undertaking 30 minutes of moderate physical activity at least five days a week were independent correlates of high physical component summary scores, while being overweight or obese and having a higher dose of levothyroxine intake per day had a negative influence. Being employed, higher per capita disposable income (>56,000 ¥ per year), undertaking 30 minutes of moderate physical activity at least five days a week, and eating more fruit were positively associated with mental component summary scores, while females and patients having more surgeries reported lower mental component summary scores. The global quality of life scale scores were associated with education, employment status, marital status, per capita disposable income, physical activity per week, fruit intake per day, and type of surgery.

CONCLUSION

Although patients with thyroid cancer have a very good prognosis overall, in this study, they often experienced more problems than the community reference population, independent of their age and sex. Sex, education, marital status, employment status, weight status, per capita disposable income, number of surgeries, type of surgery, physical activity per week, fruit intake, and levothyroxine intake per day are important correlates of HRQoL of thyroid cancer survivors. Awareness of these relevant factors could help healthcare professionals provide better supportive care.

Comparison of Fatigue Severity and Quality of Life between Unexplained Fatigue Patients and Explained Fatigue Patients

Background

Recently, despite the high prevalence of fatigue in patients, there is a lack of research on the quality of life (QoL) in unexplained fatigue patients, indicating that they are not properly diagnosed and treated. The aim of this study was to compare fatigue severity and QoL between patients with explained and unexplained fatigue.

Methods

The study consisted of 200 Korean adults who complained of fatigue without underlying disease. Fatigue Severity Scale, Short Form Health Survey-36 version 2 (SF-36v2), and Beck Depression Inventory-II (BDI-II) self-questionnaires were administered. Participants were dichotomized to two groups, namely, patients with unexplained or explained fatigue, sorted according to laboratory examination results. The chi-square test, t-test, and Wilcoxon rank-sum test were used, and analysis of covariance was calculated after adjusting for age, sex, body mass index, smoking status, and physical component summary (PCS) of SF-36v2 or BDI-II.

Results

PCS of SF-36v2 between the two groups showed significant difference. Compared to patients with explained fatigue, those with unexplained fatigue showed lower physical component scores of QoL.

Conclusion

QoL of patients with unexplained fatigue could largely diminish than those with explained fatigue. The primary clinician should be aware of poor QoL in patients with unexplained fatigue to identify who is in need of more attention and intervention.

The association between post-diagnosis health behaviors and long-term quality of life in survivors of ductal carcinoma in situ: a population-based longitudinal cohort study

PURPOSE

Women diagnosed with ductal carcinoma in situ (DCIS) often experience adverse changes in health-related behaviors following diagnosis. The impact of health behaviors on long-term quality of life (QoL) in DCIS survivors has not been investigated.

METHODS

We examined the association of post-diagnosis body mass index (BMI), physical activity, alcohol, and smoking with QoL among 1448 DCIS survivors aged 20-74 enrolled in the population-based Wisconsin in situ Cohort from 1997 to 2006. Health behaviors and QoL were self-reported during biennial post-diagnosis interviews. Physical and mental QoL were measured using the validated SF-36 questionnaire. Generalized linear regression was used to determine the association between behaviors and QoL with adjustment for confounders. Lagged behavior variables were used to predict QoL during follow-up and avoid reverse causation.

RESULTS

Women reported 3,536 QoL observations over an average 7.9 years of follow-up. Women maintaining a healthy BMI had on average a significantly higher summary measure score of physical QoL than obese women (normal versus obese: β = 3.02; 2.18, 3.85). Physical QoL scores were also elevated among those who were physically active (5 + h/week vs. none: β = 1.96; 0.72, 3.20), those consuming at least seven drinks/week of alcohol (vs. none; β = 1.40; 0.39, 2.41), and nonsmokers (vs. current smokers: β = 1.80; 0.89, 2.71). Summary measures of mental QoL were significantly higher among women who were moderately physically active (up to 2 h/week vs. none: β = 1.11; 0.30, 1.92) and nonsmokers (vs. current smokers: β = 1.49;0.45, 2.53).

CONCLUSIONS

Our results demonstrate that maintaining healthy behaviors following DCIS treatment is associated with modest improvements in long-term QoL. These results inform interventions aimed at promoting healthy behaviors and optimizing QoL in DCIS survivors.

HIV-related stigma, racial discrimination, and gender discrimination: Pathways to physical and mental health-related quality of life among a national cohort of women living with HIV

Social inequities compromise health-related quality of life (HR-QoL) among women living with HIV (WLWH). Little is known about health impacts of intersecting stigma based on HIV status, race and gender among WLWH or potential mechanisms to promote HR-QoL. We tested pathways from multiple types of stigma (HIV-related, racial, gender) to physical and mental HR-QoL utilizing baseline survey data from a national cohort of WLWH in Canada (2013-2015). Structural equation modeling was conducted using maximum likelihood estimation methods to test the direct effects of HIV-related stigma, racial discrimination, and gender discrimination on HR-QoL and indirect effects via social support and economic insecurity, adjusting for socio-demographic factors. Among 1425 WLWH (median age: 43years [IQR=35-50]), HIV-related stigma and gender discrimination had significant direct effects on mental HR-QoL. Social support mediated the relationship between HIV-related stigma and mental HR-QoL, accounting for 22.7% of the effect. Social support accounted for 41.4% of the effect of gender discrimination on mental HR-QoL. Economic insecurity accounted for 14.3% of the effect of HIV-related stigma, and 42.4% of the effect of racial discrimination, on physical HR-QoL. Fit indices suggest good model fit (χ²[1]=3.319, p=0.069; CFI=0.998; RMSEA=0.042 (90% CI: 0-0.069); SRMR=0.004). Findings reveal complex relationships between intersecting stigma and HR-QoL. Strategies that address intersecting stigma and economic insecurity among WLWH may prevent the harmful impacts of HIV-related stigma and gender discrimination on physical HR-QoL. Increasing social support may mitigate the impacts of stigma on mental health. Findings can inform multi-level interventions to promote health and wellbeing among WLWH.

Relationship between Self-Rated Health and Lifestyle and Food Habits in Japanese High School Students

Self-rated health (SRH), a subjective assessment of health status, is extensively used in the field of public health. It is an important and valid measure that is strongly related to morbidity, mortality, longevity and health status. Adolescence is a crucial period for the formation of health status, because health-risk behaviours (e.g., skipping breakfast) are often established during this period. In this study, we investigated the relationship of SRH with lifestyle and eating habits in Japanese high school students. In this study, 1296 students aged 16-18 years from 11 high schools in Japan participated. A questionnaire was administered to these participants that included a question on SRH, five questions on demographic characteristics, six questions on lifestyle items (e.g., wake-up time), five questions on miscellaneous health issues (e.g., anorexia), and 25 questions on food habits and attitudes towards food. We examined the differences between self-rated healthy and unhealthy groups using logistic regression analysis adjusted for gender and age. A dichotomy regression analysis was performed using a stepwise elimination method. Of the 1296 respondents, 16.7% reported feeling unhealthy, 57.7% of whom were females. The self-rated healthy group had a higher frequency of eating breakfast (odds ratio (OR): 2.13; confidence interval (CI): 1.07-4.24) and liked home meals to a greater extent (OR: 3.12; CI: 1.27-7.65) than the self-rated unhealthy group. The two groups did not differ significantly in terms of other lifestyle factors or unidentified complaints. Our results suggest that liking home meals during adolescence may lead to the development of good eating habits, i.e., eating breakfast, and better SRH.

Predictors of self-reported health among the elderly in Ghana: a cross sectional study

BACKGROUND

Self-reported health is a widely used measure of health status across individuals. As the ageing population increases, the health of the elderly also becomes of growing concern. The elderly go through life facing social, economic and financial hardships. These hardships are known to affect the health status of people as they age. The purpose of this study is to assess social and health related factors of self-reported health among the elderly in Ghana.

METHODS

A multivariate regression analysis in form of a binary and ordinal logistic regression were used to determine the association between socioeconomic, demographic and health related factors, on self-reported health. The data used for this study was drawn from the World Health Organization (WHO) Study on Global Ageing and Adult Health (SAGE) Wave 1.

RESULTS

In total, out of 2613 respondent, 579 (20.1%) rated their health status as poor and 2034 (79.9%) as good. The results showed that the odds of reporting poor health was 2.5 times higher among the old-old compared to the young old. The elderly with one or more than one chronic condition had the odds of 1.6 times and 2 times respectively, of reporting poor health. Engaging in mild to moderate exercise increased the chances of reporting poor health by 1.8 times. The elderly who had never worked in a lifetime were 2 times more likely to report poor health. In the same way, residents of Eastern and Western parts of Ghana were 2 times more likely to report poor health compared to those in the Upper West region. Respondents with functional limitations and disabilities were 3.6 times and 2.4 times respectively, more likely to report poor health. On the other hand, the odds of reporting poor health was 29, 36 and 27% less among respondents in the highest income quintiles, former users of tobacco and those satisfied with certain aspects of life respectively. Also, current alcohol users were 41% less likely to report poor health.

CONCLUSION

The health status of the elderly is to an extent determined by the circumstances in which they are born, grow and live. The findings suggest that addressing social issues faced by individuals in youthful age will go a long way to achieving good health in the future. People with physical limitations and disabilities are most vulnerable to unmet healthcare needs and support system from government, policy makers and family.

Active smoking and COPD phenotype: distribution and impact on prognostic factors

PURPOSE

Smoking can affect both the phenotypic expression of COPD and factors such as disease severity, quality of life, and comorbidities. Our objective was to evaluate if the impact of active smoking on these factors varies according to the disease phenotype.

PATIENTS AND METHODS

This was a Spanish, observational, cross-sectional, multicenter study of patients with a diagnosis of COPD. Smoking rates were described among four different phenotypes (non-exacerbators, asthma-COPD overlap syndrome [ACOS], exacerbators with emphysema, and exacerbators with chronic bronchitis), and correlated with disease severity (body mass index, obstruction, dyspnea and exacerbations [BODEx] index and dyspnea grade), quality of life according to the COPD assessment test (CAT), and presence of comorbidities, according to phenotypic expression.

RESULTS

In total, 1,610 patients were recruited, of whom 46.70% were classified as non-exacerbators, 14.53% as ACOS, 16.37% as exacerbators with emphysema, and 22.40% as exacerbators with chronic bronchitis. Smokers were predominant in the latter 2 groups (58.91% and 57.67%, respectively, P=0.03). Active smoking was significantly associated with better quality of life and a higher dyspnea grade, although differences were observed depending on clinical phenotype.

CONCLUSION

Active smoking is more common among exacerbator phenotypes and appears to affect quality of life and dyspnea grade differently, depending on the clinical expression of the disease.

Pain is Associated with Missed Clinic Visits Among HIV-Positive Women

Pain is highly prevalent among HIV-positive individuals, with women representing a large subset of those with pain. However, little is known about the relationship between pain and retention in HIV medical care. Among a cohort of HIV-positive women of color, we evaluated the association between pain and retention in care, as measured by missed clinic visits. The Health Resources and Services Administration's Women of Color Initiative was a multi-site observational cohort study evaluating demonstration projects to engage HIV-positive women in medical care. From November 2010 to July 2013, 921 women were enrolled in the study across nine U.S. sites; baseline interviews collected data on socio-demographic, clinical, and risk behavior characteristics. Pain was assessed at baseline based on number of days in pain over the last 30 days and was categorized as no pain (0 days), infrequent pain (1-13 days), and frequent pain (14-30 days), with 14 days being the median. Missed visits over the one-year follow-up period, evaluated by chart abstraction, were dichotomized as ≤1 missed visit versus >1 missed visit. We conducted multivariate logistic regression to assess the association between pain at baseline and missed visits, adjusting for pertinent covariates. Among our sample (N = 862), 52.2 % of women reported no pain, 23.7 % reported infrequent pain and 24.1 % reported frequent pain. Forty-five percent had >1 missed visit during the one-year follow-up period. Overall, we did not find a significant association between pain and missed visits (aOR 2.30; 95 % CI 1.00-5.25). However, in planned stratified analyses, among women reporting current substance use at baseline, reporting frequent pain was associated with a higher odds of missed visits as compared with reporting no pain (aOR 15.14; 95 % CI 1.78-128.88). In our overall sample, pain was not significantly associated with missed visits. However, frequent pain was associated with missed visits among HIV-positive women of color who reported substance use at baseline. A better understanding of the relationship between pain and missed visits could guide efforts to improve retention in care in this population.

Lifestyle Behaviors, Subjective Health, and Quality of Life Among Chinese Men Living With Type 2 Diabetes

The aim of the present study was to investigate the association between self-reported health (SRH) and quality of life (QoL) with five lifestyle-related behaviors including tobacco smoking, drinking alcohol, physical activity status, consumption of fruits, and consumption of vegetables among men diagnosed with type 2 diabetes. Participants were 786 Chinese men older than 40 years and living in urban households. Cross-sectional data on self-rated health, associated sociodemographics, and health-related behaviors were collected from the Study on Global AGEing and Health (Wave 1) of World Health Organization. Results of multivariable regression reported significant association with adherence to healthy lifestyle behavior and SRH but not QoL. According to the results, percentage of men who reported being in good SRH was overwhelmingly high (95.9%) compared with good QoL (5%). Adherence to healthy behavior was strongly associated with SRH in both bivariate and multivariate analysis, adjusted odds ratio (95% confidence interval) of good SRH for nonsmokers: 1.276 [1.055, 2.773], nondrinkers:1.351 [1.066, 3.923], taking physical exercise: 1.267 [1.117, 3.109], consuming at least five servings of fruits: 1.238 [1.034, 6.552], and vegetables: 1.365 [1.032, 3.885]. The current findings suggest that abstention from tobacco and alcohol, optimum consumption of fruits and vegetables, regular physical exercise could have marked impact on the health status of diabetic men.

Effects of a nurse-coordinated prevention programme on health-related quality of life and depression in patients with an acute coronary syndrome: results from the RESPONSE randomised controlled trial

Background

Improvement of health-related quality of life (HRQOL) is an important goal in preventive cardiology. HRQOL is also related to depressive symptoms, which represent a common co-morbidity and risk factor in patients with an acute coronary syndrome (ACS). Comprehensive nurse-coordinated prevention programmes (NCPP) in secondary care have been shown to reduce cardiovascular risk, however their effects on HRQOL and depressive symptoms have not been evaluated. We therefore investigated HRQOL and depressive symptoms in a secondary analysis in the RESPONSE trial, evaluating the effect of a NCPP on cardiovascular risk.

Methods

RESPONSE was a multicentre (n = 11) randomised controlled trial in ACS-patients in secondary and tertiary healthcare settings evaluating a NCPP. The intervention consisted of four outpatient nurse clinic visits in the first 6 months after the index event, focusing on healthy lifestyles, biometric risk factors and medication adherence, in addition to usual care. The control group received usual care only. The outcome was change in HRQOL as measured by the MacNew questionnaire and change in depressive symptoms as measured by Beck’s Depression Inventory (BDI) questionnaire at 12-months follow-up relative to baseline.

Results

Of 754 patients randomised, 615 were analysed for HRQOL; 120 for depressive symptoms. At baseline, HRQOL was 5.17 (SD 1.09) and 5.20 (SD1.04) (scale range 1.0 to 7.0) in the intervention and control group, respectively. At 12 months follow-up, HRQOL increased by 0.57 (SD 0.89) in the intervention group as compared with 0.42 (SD 0.90) in the control group (p = 0.03). This increase was observed across all relevant subscales. The BDI decreased by 1.9 in the intervention group as compared with 0.03 in the control group (p = 0.03) (scale range 1.0 to 63).

Conclusion

Participation in a NCPP is associated with a modest but statistically significant increase in HRQOL, and a decrease of depressive symptoms, both of which are highly relevant to patients. A reduction in depressive symptoms may in addition contribute to a reduction in the overall risk of recurrent events.

Trial registration

Dutch trials register: NTR1290. Registered 24 April 2008.

The association between social support and smoking status in cancer survivors with frequent and infrequent mental distress: results from 10 US states, 2010

PURPOSE

This study examined the association between social support and smoking status among adult cancer survivors, with special emphasis on mental health differences using data from 10 US states.

METHODS

Cross-sectional data from the 2010 Behavioral Risk Factor Surveillance System, Cancer Survivorship module on 8055 cancer survivors were analyzed. Sample weights were applied for the generalization of results to 2.6 million cancer survivors.

RESULTS

In 2010, 15.6 % (418,700) were current, 38.4 % (1.03 million) former, and 46.0 % (1.2 million) never smokers. About 18.0 % of cancer survivors reported receiving the lowest level of social support and 12.1 % reported experiencing frequent mental distress in the past 30 days. Participants' mean age at the time of the first cancer diagnosis was 51.0 (standard error (SE) = 0.33) and mean time since their diagnosis was 11.3 years (SE = 0.18). Compared to those with infrequent mental distress, cancer survivors with frequent mental distress were diagnosed at a younger age (45.0 vs. 51.8), more likely to be current smokers (36.8 vs. 12.7 %), and less likely to always receive social support they needed (33.4 vs. 56.3 %). Cancer survivors who received higher levels of social support were less likely to be current smokers than those who received the lowest level of social support they needed. Among cancer survivors who reported frequent mental distress, non-Hispanic blacks were more likely to be current smokers than non-Hispanic whites.

CONCLUSIONS

Rates of current smokers were lower among cancer survivors who received social support and reported infrequent mental distress.

IMPLICATIONS FOR CANCER SURVIVORS

Psychosocial screening may help health care professional identify smokers with frequent mental distress who require more intensive smoking cessation interventions.

Preference weights for the spectrum of alcohol use in the U.S. Population

BACKGROUND

Little is known about the cost-utility of population-based alcohol interventions. One barrier to research has been the lack of preference weights needed to calculate Quality Adjusted Life Years (QALYs). Preference weights can be estimated from measures of health-related quality of life (HRQOL). The objective of this study was to describe preference weights for the full spectrum of alcohol use.

METHODS

This cross-sectional study included participants in both the National Health Interview Survey (NHIS; 1999-2002) and the Medical Expenditure Panel Survey (MEPS; 2000-2003). The AUDIT-C alcohol screen was derived from NHIS with scores categorized into 6 groups (0,1-3, 4-5, 6-7, 8-9, 10-12 points), ranging from nondrinking (0) to very severe unhealthy alcohol use (10-12). AUDIT-C scores were mapped to EQ-5D and SF-6D preference weights using the linked datasets and analyses adjusted for demographics.

RESULTS

Among 17,440 participants, mean EQ-5D and SF-6D preference weights were 0.82 (95% CI 0.82-0.83) and 0.79 (95% CI 0.79-0.80), respectively. Adjusted EQ-5D preference weights for nondrinking (0.80; 95% CI 0.79-0.81) and moderate unhealthy drinking (0.85; 95% CI 0.84-0.86) were significantly different from low-risk drinking (0.83; 95% CI 0.83-0.84), but no other differences were significant. Results for the SF-6D were similar.

CONCLUSIONS

This study provides EQ-5D and SF-6D preference weights for various alcohol use categories in a representative U.S. adult sample. However, neither measure suggested meaningful differences in HRQOL based on AUDIT-C categories. Self-reported alcohol consumption may not be associated with preference weights or generic instruments may not capture alcohol-related differences in HRQOL.

Psychosocial and metabolic function by smoking status in individuals with binge eating disorder and obesity

Individuals with binge eating disorder (BED) report smoking to control appetite and weight. Smoking in BED is associated with increased risk for comorbid psychiatric disorders, but its impact on psychosocial functioning and metabolic function has not been evaluated. Participants were 429 treatment-seeking adults (72.4% women; mean age 46.2±11.0years old) with BED comorbid with obesity. Participants were categorized into current smokers (n=66), former smokers (n=145), and never smokers (n=218). Smoking status was unrelated to most historical eating/weight variables and to current eating disorder psychopathology. Smoking status was associated with psychiatric, psychosocial, and metabolic functioning. Compared with never smokers, current smokers were more likely to meet lifetime diagnostic criteria for alcohol (OR=5.51 [95% CI=2.46-12.33]) and substance use disorders (OR=7.05 [95% CI=3.37-14.72]), poorer current physical quality of life, and increased risk for metabolic syndrome (OR=1.80 [95% CI=0.97-3.35]) and related metabolic risks (reduced HDL, elevated total cholesterol). On the other hand, the odds of meeting criteria for lifetime psychiatric comorbidity or metabolic abnormalities were not significantly greater in former smokers, relative to never smokers. Our findings suggest the importance of promoting smoking cessation in treatment-seeking patients with BED and obesity for its potential long-term implications for psychiatric and metabolic functioning.

Adverse lifestyle and health-related quality of life: gender differences in patients with and without chronic conditions

OBJECTIVES

The aim was to investigate the relationship between the main lifestyle-related factors and health-related quality of life (HRQoL) in a sample of patients with and without chronic conditions (CCs) with respect to the gender differences in both groups.

METHODS

A cross-sectional study was conducted on 1061 patients (of which 308 had no CCs and 753 of those had one or more CCs) recruited at primary health care centres and the Internal Medicine Clinic at Tartu University Hospital in Estonia. Data were collected during 2012-2014. The patient's age, self-reported smoking status, alcohol consumption (assessed by Alcohol Use Disorders Identification Test) and body mass index were used as independent variables to predict the physical component scores (PCS) and mental component scores (MCS) of HRQoL (assessed by SF-36).

RESULTS

Smoking had a negative association with both physical and mental components of HRQoL only in women with CCs. Further, the PCS of chronically ill women was negatively associated with the higher body mass index. Harmful drinking had a negative association with the HRQoL in all patient groups, except with the PCS in women with CC. Light alcohol consumption without symptoms of harmful use or dependency had a positive association with the physical and mental HRQoL in all patient groups, except with the MCS in women without CCs.

CONCLUSION

Adverse lifestyle had the most expressed association with HRQoL in women with CCs. Light alcohol consumption had a positive association, but harmful use of alcohol had an inverse association with HRQoL irrespective of patients' gender or health status.

Self-rated Subjective Health Status Is Strongly Associated with Sociodemographic Factors, Lifestyle, Nutrient Intakes, and Biochemical Indices, but Not Smoking Status: KNHANES 2007-2012

Despite advertised health warnings regarding the deadly hazards of smoking, many people have not heeded recommendations to quit smoking. We examined factors that affect self-rated subjective health status (SRH) scores among lifestyle, nutrient intake and biochemical parameters, and the association of SRH scores and smoking status in a large Korean adult population. Adjusted odd ratios for SRH were calculated for smoking status, selected biochemical data, and food and nutrient intake obtained using the 24-hr recall method after covariate adjustment in the 2007-2012 Korean National Health and Nutrition Examination Survey (27,534 men and women aged ≥ 20 yr). Age, sex, income, education, drinking, exercise and stress levels were associated with SRH scores, regardless of smoking status (P < 0.001). Interestingly, people in any smoking status groups considered the well-known indicators for metabolic diseases (HDL cholesterol, glucose, aspartate aminotransferase, and alanine aminotransferase in the circulation), and the intake of fiber, total vitamins A, and vitamin C as indicators of SRH. Especially in current smokers, higher intake of nutritious food groups such as grains (OR = 1.227), vegetables (OR = 1.944), and milk (OR = 2.26) significantly increased the adjusted odds ratio of SRH. However, smoking status was not associated with SRH scores. In conclusion, SRH is affected by the indices related to health but not smoking status in Korean adults. The development of a new indicator of the direct adverse effects of smoking at regular health check-ups might be required to modulate the SRH in smokers and a nutritional education should not include the possible attenuation of adverse effects of smoking by good nutrition.

The relationship between smoking status and health-related quality of life among smokers who participated in a 1-year smoking cessation programme in Taiwan: a cohort study using the EQ-5D

OBJECTIVE

To assess the relationship between smoking status and health-related quality of life 1 year after participation in a smoking cessation programme in Taiwan.

DESIGN

A cohort study of smokers who voluntarily participated in a smoking cessation programme with two follow-up assessments of smoking status via telephone interview, conducted 6 months and 1 year after finishing the smoking cessation programme.

SETTING

Hospitals and clinics providing smoking cessation services.

PARTICIPANTS

A total of 3514 participants completed both telephone interviews, which represents a response rate of 64%. After the interviews, participants were divided into four groups according to their smoking status: (1) long-term quitters: participants who had quit tobacco use for 1 year; (2) short-term quitters: participants who had been smoking for at least 6 months and then quit tobacco for 6 months after participating in the programme; (3) relapsed smokers: participants who relapsed into tobacco use after ceasing tobacco use for 6 months; and (4) continuing smokers: participants who failed to quit smoking for at least 1 year, despite participating in the programme.

INTERVENTIONS

The Outpatient Smoking Cessation Service of Taiwan provides counselling and pharmacotherapy to individuals seeking to quit smoking.

PRIMARY OUTCOMES

The health-related quality of life of the participants was measured using an approved Chinese version of the EuroQol-5D-3L (EQ-5D-3L) descriptive system.

RESULTS

After controlling for sex, age, education, marital status, job status, monthly income and disease status at baseline, our results revealed that long-term (OR=0.61 (0.48 to 0.77)) and short-term (OR=0.65 (0.54 to 0.79)) quitters experienced less anxiety and depression than did continuing smokers.

CONCLUSIONS

Our study provides evidence to support claims that all quitters, regardless of whether they stop smoking for 6 months or 1 year, have better quality of life with regard to anxiety or depression.

Impact of smoking cessation therapy on health-related quality of life

BACKGROUND

Smoking is associated with poor health-related quality of life (HRQL); however, there are few data regarding effects of smoking cessation treatment on HRQL. The purpose of this study was to describe changes in HRQL after smoking cessation treatment and to elucidate factors influencing this improvement in HRQL.

SETTING

Smoking cessation clinic at a 358-bed community teaching hospital in Japan.

METHODS

We conducted a prospective cohort study of cigarette smokers who participated in a 3-month smoking cessation programme. HRQL was assessed at baseline and at the end of the programme using the St. George's Respiratory Questionnaire (SGRQ). The abstinence was subjected to verification by an exhaled CO level of ≤10 ppm.

RESULTS

Of 570 participants in the programme, 277 (mean age: 60.9±12.2 y, male/female=180/97) were eligible; excluded were 277 participants who dropped out of the programme and 16 for whom SGRQs were not available or were incomplete. Initial prescribed pharmacotherapy was transdermal nicotine patches in 160 participants and varenicline in 117. At 12 weeks, SGRQ scores improved significantly as follows (mean±SD): Δ symptoms score, -5.7±16.0; Δ activity score, -4.4±18.3; Δ impact score, -5.3±13.5 and Δ total score, -5.1±12.2 (p<0.0001 in all cases). There were no significant differences in changes in SGRQ scores between quitters (n=183) and continuous smokers (n=94). In a multivariate analysis, only the average nicotine addiction level according to the Tobacco Dependence Screener test was associated with a clinically significant improvement in the SGRQ (OR 1.35 (95% CI 1.15 to 1.59)). Marked reduction in number of cigarettes smoked with a corresponding low median exhaled CO level of 7 ppm in continuous smokers following therapy was observed.

CONCLUSIONS

Smoking cessation treatment improved HRQL regardless of quit status. Baseline nicotine addiction level was predictive of that improvement.

Khat chewing and health related quality of life: cross-sectional study in Jazan region, Kingdom of Saudi Arabia

Background

The chewing of Khat leaves, a natural psychoactive substance is widely chewed in countries of East Africa and the southern Arabian Peninsula, and is reported to be associated with a range of unfavorable health outcomes including khat dependence. The impact of Khat chewing on Health Related Quality of Life is yet to be explored. Aims: to measure and compare the quality of life of the khat chewers and non-khat chewers using a short form health survey (SF36), and to assess factors associated with Khat chewing using SF36 in a sample of adult population in Jazan region, Kingdom of Saudi Arabia.

Methods

A total of 630 participants from two independent male populations of khat chewers and non-khat chewers were recruited into a cross-sectional survey study. A self administrative survey based on the SF-36 questionnaire was used to collect data on measures of health-related quality of life (HRQoL). Socioeconomic data of the respondents were also collected for detailed analysis. Data analysis include: descriptive statistics, reliability tests (Cronbach’s alpha and intraclass correlation coefficient), and bivariate analysis (Chi square and Mann–Whitney U-test) to compare HRQoL of Khat chewers and non-Khat chewers.

Results

The odds of being a khat chewer were higher in respondents with a lower socioeconomic status. The SF-36 scores were significantly lower in all domains for respondents with khat chewing, indicating that non-khat chewers had higher health perceptions compared with those chewing khat. The overall mean score of HRQoL for non-khat chewers was 92.7% (SD 5.53) compared with 63.5% (SD 21.73) for the khat chewing group. The study had shown good internal consistency and reproducibility across the eight subscales of SF-36 questionnaire (α 0.74-0.95). The Mann–Whitney U-test showed a significant difference between khat chewers and non-khat chewers (P < 0.001).

Conclusions

This study measured and compared the quality of life of khat chewers and non-khat chewers using a generic health survey (SF36). The study had shown that khat chewing is associated with lower quality of life (HRQoL) and lower socioeconomic status. However in future a more refined SF36 developed especially for Khat chewers can provide more useful information.

Gender differences in health-related quality of life of Australian chronically-ill adults: patient and physician characteristics do matter

BACKGROUND

The aims of this study were to explore the health-related quality of life (HRQoL) in a large sample of Australian chronically-ill patients (type 2 diabetes and/or hypertension/ischaemic heart disease), to investigate the impact of characteristics of patients and their general practitioners on their HRQoL and to examine clinically significant differences in HRQoL among males and females.

METHODS

This was a cross-sectional study with 193 general practitioners and 2181 of their chronically-ill patients aged 18 years or more using the standard Short Form Health Survey (SF-12) version 2. SF-12 physical component score (PCS-12) and mental component score (MCS-12) were derived using the standard US algorithm. Multilevel regression analysis (patients at level 1 and general practitioners at level 2) was applied to relate PCS-12 and MCS-12 to patient and general practitioner (GP) characteristics.

RESULTS

Employment was likely to have a clinically significant larger positive effect on HRQoL of males (regression coefficient (B) (PCS-12) = 7.29, P < 0.001, effect size = 1.23 and B (MCS-12) = 3.40, P < 0.01, effect size = 0.55) than that of females (B(PCS-12) = 4.05, P < 0.001, effect size = 0.78 and B (MCS-12) = 1.16, P > 0.05, effect size = 0.16). There was a clinically significant difference in HRQoL among age groups. Younger men (< 39 years) were likely to have better physical health than older men (> 59 years, B = -5.82, P < 0.05, effect size = 0.66); older women tended to have better mental health (B = 5.62, P < 0.001, effect size = 0.77) than younger women. Chronically-ill women smokers reported clinically significant (B = -3.99, P < 0.001, effect size = 0.66) poorer mental health than women who were non-smokers. Female GPs were more likely to examine female patients than male patients (33% vs. 15%, P < 0.001) and female patients attending female GPs reported better physical health (B = 1.59, P < 0.05, effect size = 0.30).

CONCLUSIONS

Some of the associations between patient characteristics and SF-12 physical and/or mental component scores were different for men and women. This finding underlines the importance of considering these factors in the management of chronically-ill patients in general practice. The results suggest that chronically ill women attempting to quit smoking may need more psychological support. More quantitative studies are needed to determine the association between GP gender and patient gender in relation to HRQoL.

Preventive care in general practice among healthy older New South Wales residents

Background

Despite being at high risk, disadvantaged patients may be less likely to receive preventive care in general practice. This study aimed to explore self-reported preventive care received from general practitioners and the factors associated with this by healthy New South Wales (NSW) residents aged 45–74 years.

Methods

A self-completed questionnaire was sent to 100,000 NSW residents in the 45 and Up cohort study. There was a 60% response rate. After exclusions there were 39,964 participants aged 45–74 years who did not report cardiovascular disease or diabetes. Dichotomised outcome variables were participant report of having had a clinical assessment of their blood pressure (BP), blood cholesterol (BC) or blood glucose (BG), or received advice to eat less high fat food, eat more fruit and vegetables or be more physically active from their GP in the last 12 months. Independent variables included socio-demographic, lifestyle risk factors, health status, access to health care and confidence in self-management.

Results

Most respondents reported having had their BP (90.6%), BC (73.9%) or BG (69.4%) assessed. Fewer reported being given health advice to (a)eat less high fat food (26.6%), (b) eat more fruit and vegetables (15.5%) or (c) do more physical activity (19.9%). The patterns of association were consistent with recognised need: participants who were older, less well educated or overweight were more likely to report clinical assessments; participants who were overseas born, of lower educational attainment, less confident in their own self-management, reported insufficient physical activity or were overweight were more likely to report receiving advice. However current smokers were less likely to report clinical assessments; and rural and older participants were less likely to receive diet or physical activity advice.

Conclusions

This study demonstrated a gap between reported clinical assessments and preventive advice. There was evidence for inverse care for rural participants and smokers, who despite being at higher risk of health problems, were less likely to report receiving preventive care. This suggests the need for greater effort to promote preventive care for these groups in Australian general practice.

Less healthy dietary pattern is associated with smoking in Korean men according to nationally representative data

The relationship between smoking and nutrient intake has been widely investigated in several countries. However, Korea presents a population with a smoking rate of approximately 50% and dietary consumption of unique foods. Thus, the aim of this study was to evaluate the association of dietary patterns with smoking in Korean men using a nationally representative sample. The study subjects were comprised of 4,851 Korean men over 19 yr of age who participated in the fourth Korean National Health and Nutrition Examination Survey. Dietary data were assessed by the 24-hr recall method. The smoking group comprised 2,136 men (46.6%). Five dietary patterns were derived using factor analysis: 'sugar & fat', 'vegetables & seafood', 'meat & drinks', 'grains & eggs', and 'potatoes, fruits and dairy products.' Current smokers showed a more significant 'sugar & fat' pattern (P = 0.001) while significantly less of the 'vegetables & seafood' and 'potatoes, fruits and dairy products' patterns (P = 0.011, P < 0.001, respectively). As found in similar results from Western studies, Korean male smokers showed less healthy dietary patterns than nonsmokers. Thus, the result of this study underlines the need for health professionals to also provide advice on dietary patterns when counseling patients on smoking cessation.

Smoking and health-related quality of life in English general population: implications for economic evaluations

BACKGROUND

Little is known as to how health-related quality of life (HRQoL) when measured by generic instruments such as EQ-5D differ across smokers, ex-smokers and never-smokers in the general population; whether the overall pattern of this difference remain consistent in each domain of HRQoL; and what implications this variation, if any, would have for economic evaluations of tobacco control interventions.

METHODS

Using the 2006 round of Health Survey for England data (n = 13,241), this paper aims to examine the impact of smoking status on health-related quality of life in English population. Depending upon the nature of the EQ-5D data (i.e. tariff or domains), linear or logistic regression models were fitted to control for biology, clinical conditions, socio-economic background and lifestyle factors that an individual may have regardless of their smoking status. Age- and gender-specific predicted values according to smoking status are offered as the potential 'utility' values to be used in future economic evaluation models.

RESULTS

The observed difference of 0.1100 in EQ-5D scores between never-smokers (0.8839) and heavy-smokers (0.7739) reduced to 0.0516 after adjusting for biological, clinical, lifestyle and socioeconomic conditions. Heavy-smokers, when compared with never-smokers, were significantly more likely to report some/severe problems in all five domains--mobility (67%), self-care (70%), usual activity (42%), pain/discomfort (46%) and anxiety/depression (86%). 'Utility' values by age and gender for each category of smoking are provided to be used in the future economic evaluations.

CONCLUSION

Smoking is significantly and negatively associated with health-related quality of life in English general population and the magnitude of this association is determined by the number of cigarettes smoked. The varying degree of this association, captured through instruments such as EQ-5D, may need to be fed into the design of future economic evaluations where the intervention being evaluated affects (e.g. tobacco control) or is affected (e.g. treatment for lung cancer) by individual's (or patients') smoking status.

Smoking is associated with poor self-rated health among adolescents in Hong Kong

INTRODUCTION

To investigate the association between smoking and self-rated health (SRH) among adolescents in Hong Kong.

METHODS

Form 1 (U.S. Grade 7) to 5 students (N = 36,225) from 85 randomly selected secondary schools were surveyed using anonymous, self-administered questionnaires to collect information about smoking, SRH, secondhand smoke exposure, drinking, illicit drug use, physical activities, medical services use, health complaints, and sociodemographic characteristics. Logistic regression yielded adjusted odds ratios (AORs) for poor SRH due to smoking in boys and girls.

RESULTS

Compared with never-smoking, smoking experimentation, ex-smoking, and current smoking were associated with AORs (95% CI) for poor SRH of 1.22 (1.07-1.40), 1.43 (1.12-1.83), and 1.31 (1.13-1.53), p for trend <.001, in boys and 1.26 (1.10-1.39), 1.42 (1.08-1.85), and 1.75 (1.53-2.00, p for trend <.001, in girls. The AOR of poor SRH for current smoking was higher in girls than boys, p for interaction <.001. Current and experimental smoking but not ex-smoking were significantly associated with poor SRH among healthy students who had no health complaints or recent medical consultations. Increasing cigarette consumption, years of smoking, and smoking urge were also significantly associated with poor SRH.

CONCLUSIONS

Smoking was associated with poor SRH among Chinese adolescents, especially girls. This finding is useful for discouraging smoking initiation and motivating quitting in adolescent smokers.

Smoking behavior and delivery of evidence-based care for veterans with spinal cord injuries and disorders

OBJECTIVE

Little is known about those veterans with spinal cord injuries and disorders (SCI/D) who smoke cigarettes. This study identified the factors associated with smoking in this population, motivations for smoking, and the readiness for smoking cessation. Current practices for the delivery of evidence-based tobacco cessation were also examined.

DESIGN

Methods included surveys of veterans with SCI/D, medical record reviews of current smokers, and telephone interviews with SCI/D providers.

SETTING

Six Veterans Health Administration facilities with SCI centers and one SCI clinic.

PARTICIPANTS

Survey data were analyzed for 1210 veterans, 256 medical records were reviewed, and 15 providers served as key informants.

INTERVENTIONS

Observational study.

OUTCOME MEASURES

Veterans self-reported smoking status, quit attempts, methods and care received, motivation for smoking, and health care conditions. Medical record review and informant interviews examined the tobacco cessation care provided.

RESULTS

Whereas 22% of the respondents were current smokers; 51% were past smokers. Current smokers more often reported respiratory illnesses and/or symptoms, alcohol use, pain, and depression than past or never smokers, and approximately half made quit attempts in the past year. Smokers received referral to counseling (57%) and/or prescription for medication/nicotine replacement (23%). Key informants identified difficulty of providing follow-up and patients' unwillingness to consider quitting as barriers.

CONCLUSION

Veterans with SCi/D who smoke also had other health problems. Providers offer counseling and medication, but often have difficulty following patients to arrange/provide support. Identifying other support methods such as telehealth, considering the use of combination cessation therapies, and addressing other health concerns (e.g., depression) may affect tobacco cessation in this population.

Recent trends and geographic patterns of the burden of disease attributable to smoking

PURPOSE

Quality-adjusted life-years (QALYs) use a single number to provide an assessment of the overall health burden of diseases associated both with mortality and morbidity. This study examined the trend and geographic variation of the burden of smoking by calculating smoking-related QALYs lost from 1993 to 2008 for the US adults and individual states.

METHODS

Population health-related quality of life scores were estimated from the 1993 to 2008 Behavioral Risk Factor Surveillance System. The smoking-related QALYs lost are the sum of QALYs lost due to morbidity and future QALYs lost in expected life years due to premature deaths (mortality).

RESULTS

From 1993 to 2008, the percent of US adults who smoked declined from 22.7% to 18.5%, but the smoking-related QALYs lost were relatively stable at 0.0438 QALYs lost per population. Although smoking contributed more QALYs lost for men (0.0535) than for women (0.0339), smoking-related QALYs lost decreased by 2.5% for men but increased by 12.6% for women. Kentucky, Oklahoma, Mississippi, West Virginia, and Tennessee had the most smoking-related QALYs lost wheras Utah, California, Connecticut, Minnesota, and Hawaii had the least QALYs lost. The state tobacco tax rate was strongly and negatively associated with both the percent smoked (r = -0.60) and QALYs lost (r = -0.54), as well as the percentage change in both.

CONCLUSIONS

This analysis quantified the overall burden of smoking for the nation and individual states from 1993 to 2008. Such data might assist in providing specified quantitative targets for the Healthy People 2020 smoking-related health objectives and for tracking changes on a yearly basis.