Risk Factors of Cardiovascular Disease according to Alcohol Behavioral Change after Cancer Diagnosis / 가정의학회지

Background@#Problem drinking increases the incidence of all-cause mortality and specific cancers, and persistent drinking is associated with cardiovascular disease in certain cancer survivors. This study analyzed the cardiovascular risk factors before and after diagnosis in Korean cancer survivors. @*Methods@#Data for the period between 2002 and 2013 were collected from the National Health Insurance Service Health-Examinee Cohort Database. Among the 27,835 patients included, those with moderate alcohol consumption before and after cancer diagnosis were excluded. Problem drinking was defined as males under 65 years consuming over 14 glasses a week, and males over 65 years or females consuming over seven glasses a week. A t-test, chi-square test, and linear regression analysis were performed for differences in cardiovascular risk factors and differences according to cancer types. @*Results@#There was a difference in the body mass index, systolic and diastolic blood pressure, and total cholesterol among patients who became moderate drinkers after diagnosis, but fasting blood glucose did not show any significant changes. Risk factors for cardiovascular disease were analyzed in patients with liver, stomach, rectal, and breast cancer with improved drinking behavior, and there were significant differences in body mass index, systolic and diastolic blood pressure, fasting blood glucose, and total cholesterol in stomach cancer patients. @*Conclusion@#Moderate drinking can lower cardiovascular risk in cancer survivors, and among the many drinking-related cancers, stomach cancer patients demonstrated significantly reduced cardiovascular risk factors.

Prevalence and Predictors of Sustained Smoking after a Cancer Diagnosis in Korean Men / Journal of the Korean Cancer Association, 대한암학회지

Purpose@#Although smoking has a significant impact on mortality and morbidity of cancer patients, many patients continue to smoke post-diagnosis. The purpose of this study was to investigate prevalence and predictors of sustained smoking among male cancer survivors. @*Materials and Methods@#The Korean National Health Insurance Service-National Health Screening Cohort database was used for this population-based, retrospective study. Study subjects were 15,141 men who were diagnosed with their first incident cancer between 2004 and 2011. Changes in smoking status before and after a cancer diagnosis were investigated. For patients who were current smokers pre-diagnosis, association between post-diagnosis sustained smoking and demographic, socioeconomic, and clinical variables were examined. @*Results@#Of the 4,657 pre-diagnosis smokers, 2,255 (48%) had quit after cancer diagnosis, while 2,402 (51.6%) continued to smoke. In a multivariate logistic regression analysis, younger age at cancer diagnosis (adjusted odds ratio [aOR], 1.37; 95% confidence interval [CI], 1.21 to 1.55; p < 0.001), low socioeconomic status (aOR, 1.29; 95% CI, 1.15 to 1.45; p ≤ 0.001), pre-diagnosis heavy smoking (aOR, 1.24; 95% CI, 1.09 to 1.41; p=0.001), diagnosis of non-smoking– related cancer (aOR, 1.67; 95% CI, 1.42 to 1.96; p < 0.001), and high serum glucose level (aOR, 1.23; 95% CI, 1.03 to 1.46; p=0.019) were associated with sustained smoking after a cancer diagnosis. @*Conclusion@#Almost half of the male smokers continue to smoke after a cancer diagnosis. Targeted interventions for smoking cessation should be considered for patients with younger age, low socioeconomic status, heavy smoking history, non-smoking–related cancer, and high blood glucose levels.

Usefulness of the Patient Health Questionnaire-2 in Screening for Depression

BACKGROUND: While various screening tools are available for depression, they are not feasible in clinical practice because of their excessive number of questions. The Patient Health Questionnaire-2 (PHQ-2) consists of two questions gauging the frequency of depressed mood and anhedonia over the past two weeks. This study aimed to assess the usefulness of the PHQ-2 as a brief screening tool for depression.METHODS: This study used Korean National Health and Nutrition Examination Survey data from 2014, and the study population consisted of 4,946 individuals. We analyzed the validity of the PHQ-2 compared with ‘depression by PHQ-9,’ and obtained the optimal cut point for screening depression. The agreement between PHQ-2 and depression by PHQ-9 and the agreement between PHQ-2 and ‘currently diagnosed as depression’ were analyzed using Cohen's kappa. The correlation between EuroQol-5D (EQ-5D) index scores and PHQ-2 scores was analyzed using Student's t-test.RESULTS: Using ‘depression by PHQ-9’ as the criterion standard, PHQ-2 scores ≥2 had a sensitivity of 89% and a specificity of 87%, and a receiver operating characteristic analysis identified PHQ-2≥2 as the optimal cut point for screening. The agreement between PHQ-2 and depression by PHQ-9 was 0.430 when PHQ-2 ≥2 was used as a cut point. The agreement between PHQ-2 and ‘depression by questionnaire’ was poor. The EQ-5D index score of the depressive group was significantly lower than that of the normal group.CONCLUSION: The PHQ-2 is an effective measure for screening depression and is expected to be useful in busy clinical settings.

Dietary Patterns Assessed by the Diet Quality Index-International Among Cancer Survivors Compared with Healthy Control Subjects: Using the Korea National Health and Nutrition Examination Surveys 2013–2015

BACKGROUND: Dietary patterns have a significant impact on prognosis, recurrence, and survival in patients with cancer. This study investigated dietary patterns using the Diet Quality Index-International (DQI-I) in cancer survivors compared to those in the general population without cancer.METHODS: Using the Korea National Health and Nutrition Examination Survey VI data, cancer survivors were defined as those diagnosed with cancer more than 1 year before the survey. The associations between possible predictors and the DQI-I score were examined using t-tests and analysis of variance. Adjusted multiple linear regression analysis was performed to compare the differences in DQI-I scores between cancer survivors and controls.RESULTS: In univariate analysis of 9,351 subjects (433 cancer survivors and 8,918 controls), age, sex, body mass index, marital status, education level, income, residential area, smoking status, and alcohol consumption were associated with the DQI-I score (each P-value < 0.05). After adjustment, cancer survivors showed higher DQI-I scores than the controls (67.40±8.90 vs. 65.50±9.40, P-value=0.007). In subgroup analysis, cancer survivors within 5 years after cancer diagnosis showed higher DQI-I scores than the controls (68.70±8.30 vs. 65.50±9.40, P-value=0.034), whereas those who survived beyond 5 years post-diagnosis did not show significant differences from the controls (66.70±9.20 vs. 65.50±9.40, P-value=0.063).CONCLUSION: Cancer survivors within 5 years of cancer diagnosis showed better dietary patterns than those in the general population. However, the differences were not observed after 5 years post-diagnosis. To reduce the risks of second primary cancer and mortality, targeted inventions for dietary habits are necessary for long-term survivors of cancer.

Association between Weight Changes after Smoking Cessation and Cardiovascular Disease among the Korean Population / 가정의학회지

BACKGROUND: Cigarette smoking is a risk factor for cardiovascular disease (CVD) and has both beneficial and harmful effects in CVD. We hypothesized that weight gain following smoking cessation does not attenuate the CVD mortality of smoking cessation in the general Korean population. METHODS: Study subjects comprised 2.2% randomly selected patients from the Korean National Health Insurance Corporation, between 2002 and 2013. We identified 61,055 subjects who were classified as current smokers in 2003–2004. After excluding 21,956 subjects for missing data, we studied 30,004 subjects. We divided the 9,095 ex-smokers into two groups: those who gained over 2 kg (2,714), and those who did not gain over 2 kg (6,381, including weight loss), after smoking cessation. Cox proportional hazards regression models were used to estimate the association between weight gain following smoking cessation and CVD mortality. RESULTS: In the primary analysis, the hazard ratios of all-cause deaths and CVD deaths were assessed in the three groups. The CVD risk factors and Charlson comorbidity index adjusted hazard ratios (aHRs) for CVD deaths were 0.80 (95% confidence interval [CI], 0.37 to 1.75) for ex-smokers with weight gain and 0.80 (95% CI, 0.50 to 1.27) for ex-smokers with no weight gain, compared to one for sustained smokers. The associations were stronger for events other than mortality. The aHRs for CVD events were 0.69 (95% CI, 0.54 to 0.88) and 0.81 (95% CI, 0.70 to 0.94) for the ex-smokers with and without weight gain, respectively. CONCLUSION: Although smoking cessation leads to weight gain, it does not increase the risk of CVD death.