Smoking cessation behavior in patients with a diagnosis of a non-communicable disease: The impact of perceived disease severity of and susceptibility to the disease.

INTRODUCTION: The Health Belief Model comprises two constructs influencing changed behaviors impacting on health, namely perceived severity and susceptibility. The aim of this study was to identify the impact of the combination of, or interactions between, these two constructs on quitting smoking in smokers with a diagnosis of a non-communicable disease (NCD). METHODS: From the large insurance claims database maintained by JMDC database (JMDC, Tokyo), we extracted data on 13284 participants who smoked. All participants were stratified according to their NCD diagnosis based on perceived severity and susceptibility as follows: Category I (high severity and high susceptibility) - acute myocardial infarction, and lung cancer; Category II (high severity and low susceptibility) - colorectal cancer, and stomach cancer; Category III (low severity and high susceptibility) - asthma, and transient ischemic attack; Category IV (low severity and low susceptibility) - appendicitis, and glaucoma. We performed multi-variable logistic regression analysis and calculated the proportion of those who were smoking at the first health check-up after the diagnosis and every three years thereafter. RESULTS: Using glaucoma as the reference, the adjusted odds ratios for smoking cessation were 14.2 (95% CI: 11.4-17.8) to 14.8 (95% CI: 12.5-17.4) in Category I; 4.5 (95% CI: 3.8-5.4) to 6.6 (95% CI: 5.4-8.0) in Category II; and 1.9 (95% CI: 1.7-2.1) to 2.8 (95% CI: 2.2-3.7) in Category III. In Categories I and II, the proportion of smokers rapidly decreased after diagnosis and mostly remained low thereafter. Smoking cessation rates for Categories I and II were not associated with readiness to improve lifestyles prior to NCD diagnosis. CONCLUSIONS: Our study confirms the significant impact of perceived severity of and susceptibility to the diagnosed disease on smoking cessation. The multiplicative effect of these two constructs at NCD diagnosis represents a 'teachable moment', a window of opportunity, for encouraging successful long-term smoking cessation.

Changes in the sleeping habits of Japanese university students during the COVID-19 pandemic: a 3-year follow-up study.

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic has greatly changed our daily life. Owing to the imposed restrictions, many educational facilities have introduced remote teaching. This study aims to clarify the association between remote teaching and Japanese university students' sleeping habits. METHODS: The participants were medical students at Aichi Medical University. We used data from an ongoing longitudinal sleeping habits survey. For the participants who enrolled in the university during 2018-2020, multilevel analyses of sleep duration during weekdays and weekends across 3 years were conducted, adjusting for sex, grade, place of stay, sleep problems and lifestyle habits. RESULTS: Among the students enrolled in the university, the data of 677 in 2018, 657 in 2019, and 398 in 2020 was available for analysis. The mean sleep duration during weekdays (in minutes) was 407.6 ± 60.3 in 2018, 406.9 ± 63.0 in 2019, and 417.3 ± 80.9 in 2020. The mean sleep duration during weekends (in minutes) was 494.5 ± 82.5 in 2018, 488.3 ± 87.9 in 2019, and 462.3 ± 96.4 in 2020. Multilevel analysis conducted for the 684 participants who enrolled during 2018-2020 showed that sleep duration during weekdays was associated with the place of stay and survey year. Moreover, students reported significantly longer sleep duration during weekdays in 2020 than in 2019, but no significant difference in sleep duration was found between 2018 and 2019. The other multilevel analysis found sleep duration during weekends to be associated with the survey year, sex and always doing something before going to bed. Sleep duration during weekends was shorter in 2020 than in 2019 and longer for male students and students who always do something before going to bed. Ten students were reported to have a delayed sleep phase in 2020. CONCLUSIONS: Students' sleep duration increased during weekdays and decreased during weekends in 2020. This difference could be explained by the COVID-19 pandemic and the introduction of remote teaching.

Smoking cessation after cancer diagnosis reduces the risk of severe cancer pain: A longitudinal cohort study.

BACKGROUND: Whether abstinence from smoking among cancer patients reduces cancer pain is still unclear. Opioids can act as a surrogate index for evaluating the incidence of severe cancer pain in countries where opioid abuse is infrequent. This study aimed to investigate whether changed smoking behavior after cancer diagnosis influences the incidence of severe cancer pain as determined by strong opioid use. METHODS: Using a large Japanese insurance claims database (n = 4,797,329), we selected 794,702 insured employees whose annual health checkup data could be confirmed ≥6 times between January 2009 and December 2018. We selected 591 study subjects from 3,256 employees who were diagnosed with cancer pain and had health checkup data at the year of cancer pain diagnosis. RESULTS: A significantly greater proportion of patients who continued smoking after cancer diagnosis ("current smoker", n = 133) received strong opioids (36.8%) compared with patients who had never smoked or had stopped before cancer diagnosis ("non-smoker", n = 383, 20.6%; p<0.05) but also compared with patients who had quit smoking after cancer diagnosis ("abstainer:", n = 75, 24.0%; p<0.05). In multivariable Cox proportional hazards regression analysis, abstainers had a significantly lower risk of receiving strong opioids than current smokers (hazard ratio: 0.57, 95% CI: 0.328 to 0.997). These findings were consistent across multiple sensitivity analyses. CONCLUSION: Our study demonstrated that patients who quit smoking after cancer diagnosis have a lower risk of severe cancer pain. This information adds clinical incentives for improving quality of life among those who smoked at the time of cancer diagnosis.

The impact of the National Health Program on diabetes incidence among working-age men with prediabetes: A regression discontinuity analysis of a nation-wide database in Japan.

AIM: This study aimed to investigate the impact of the National Health Program in Japan ("Specific Health Check-ups and Specific Health Guidance") on diabetes prevention among working-age men with prediabetes. METHODS: This study used a regression discontinuity design, based on the program's criterion that the program starts at age 40 or older and that the intervention is provided only to prediabetic individuals with abdominal obesity, to assess the impact of the program on the diabetes incidence in a total of 49,848 men with prediabetes, aged 37-42 years. RESULTS: The National Health Program in which interventions were provided for individuals aged 40 years or over with both prediabetes and abdominal obesity was associated with a decrease in diabetes incidence rate equivalent to 10.1 reduction/1000 person-years. The relative risk was 0.75. However, among those without abdominal obesity and not subjected to the intervention, there was no significant change in the diabetes incidence at age 40. CONCLUSIONS: The National Health Program in Japan was associated with a decrease in the incidence of diabetes among working-age men with prediabetes and abdominal obesity and may have a meaningful impact among working-age men.

Sex differences in the association between fatty liver and type 2 diabetes incidence in non-obese Japanese: A retrospective cohort study.

AIMS/INTRODUCTION: Asians develop type 2 diabetes at a lower body mass index (BMI) compared with other races, which is partly because of Asian-specific fat depots. Sex plays a role in fat deposition, regardless of race. This retrospective cohort study aimed to investigate the association among fatty liver, sex and type 2 diabetes in non-obese Japanese. MATERIALS AND METHODS: The participants in this study (13,596 men and 6,037 women) were aged 30-64 years, and had undergone health checkups between 2013 and 2015, in Aichi, Japan. Baseline BMI was categorized as follows: <18.5, 18.5-19.9, 20-22.9, 23-24.9, 25-27.4 and ≥27.5 kg/m2 . Fatty liver was diagnosed by abdominal ultrasonography. The joint effect of BMI and fatty liver on the incidence of type 2 diabetes was assessed, stratified by sex. RESULTS: During follow up, 738 men and 138 women developed type 2 diabetes. Compared with the BMI of 20-22.9 kg/m2 without fatty liver group, the BMI of 20-22.9 kg/m2 with fatty liver was associated with a higher risk of type 2 diabetes in men, but not in women. Furthermore, men with a BMI of 23-24.9 and 25-27.4 kg/m2 without fatty liver had no significant type 2 diabetes risk, whereas women with a BMI of 23-24.9 and 25-27.4 kg/m2 , regardless of fatty liver, had an increased risk. CONCLUSIONS: These results suggest the association between fatty liver and type 2 diabetes in non-obese Asians is different by sex; fatty liver increases diabetes risk among male, not female, non-obese Asians.

Association between procrastination, white-collar work and obesity in Japanese male workers: a cross-sectional study.

OBJECTIVE: To investigate the associations among procrastination (time inconsistency), work environment and obesity-related factors in Japanese male workers. DESIGN: Cross-sectional study. SETTING: Data were collected at two work sites of Japanese electronics manufacturing company in 2015. PARTICIPANTS: 795 full-time male workers in a Japanese electric company, aged 35-64 years, who underwent health checkups in 2015. MAIN OUTCOME MEASURES: Body mass index (BMI), adult weight change, obesity (BMI ≥25 kg/m2), adult weight gain over 10 kg (AWG10) and metabolic syndrome (MetS). Multivariable linear and logistic regression analyses were performed to assess the associations of procrastination assessed by using a one-item questionnaire and white-collar and blue-collar work with obesity-related factors. RESULTS: White-collar workers with high procrastination levels showed positive associations with BMI (B: 0.75, 95% CI 0.06 to 1.44) and adult weight change (B: 1.77, 95% CI 0.26 to 3.29), and had increased odds of AWG10 (OR: 1.85, 95% CI 1.04 to 3.29) and MetS (OR: 2.29 95% CI 1.18 to 4.44) after adjustment for age, education, work-related factors and lifestyle factors. However, such positive associations were not observed among blue-collar workers. CONCLUSIONS: Procrastination and white-collar work might have a joint effect on weight gain during adulthood and consequential obesity.

Inverse association of des-acyl ghrelin with worksite blood pressure in overweight/obese male workers.

BACKGROUND: Job strain, defined as a combination of high job demands and low job control, has been reported to elevate blood pressure (BP) during work. Meanwhile, a recent experimental study showed that ghrelin blunted the BP response to such mental stress. In the present study, we examined the hypothesis that des-acyl ghrelin may have some beneficial effects on worksite BP through modulating the BP response to work-related mental stress, i.e., job strain. METHODS: Subjects were 34 overweight/obese male day-shift workers (mean age 41.7 ± 6.7 years). No subjects had received any anti-hypertensive medication. A 24-h ambulatory BP monitoring was recorded every 30 min on a regular working day. The average BP was calculated for Work BP, Morning BP, and Home BP. Job strain was assessed using the short version of the Japanese Job Content Questionnaire. RESULTS: Des-acyl ghrelin showed significant inverse correlations with almost all BPs except Morning SBP, Morning DBP, and Home DBP. In multiple regression analysis, des-acyl ghrelin inversely correlated with Work SBP after adjusting for confounding factors. Des-acyl ghrelin was also negatively associated with BP changes from Sleep to Morning, Sleep to Work, and Sleep to Home. CONCLUSIONS: Des-acyl ghrelin was inversely associated with Worksite BP, suggesting a unique beneficial effect of des-acyl ghrelin on Worksite BP in overweight/obese male day-shift workers.