Objective: The purpose of this study was to investigate regional differences in the standard mortality ratio (SMR) and risk factors (including dietary habits) for stroke across the three regions of Ehime Prefecture - Toyo (east), Chuyo (central), and Nanyo (south).
Participants and methods: We obtained medical records derived from 956,979 medical examinations carried out at JA Ehime Kouseiren Medical Examination Centers between April 1994 and March 2006. We analyzed data from 132,090 subjects (Toyo - 47,654, Chuyo - 38,435, Nanyo - 46,001) who underwent their first medical examination during this period. To analyze differences between the three regions, we first calculated the SMR for stroke based on data from the Basic Residential Registers and Health Statistics Bureau. Secondly, we calculated significant differences in body mass index, systolic blood pressure (SBP), diastolic blood pressure (DBP), blood glucose (Glu), and total cholesterol (T-CHO). Thirdly, we used the Chi-square test to calculate significant differences in the percentage of subjects who consumed the following foods on a daily basis: rice, bread, eggs, fish, meat, vegetables, dairy products, and fruit juice.
Results: Despite the fact that regional differences in the SMR for stroke have been decreasing, in both men and women in Nanyo, the mean values for SBP and DBP were significantly higher and the mean value for T-CHO was significantly lower than in Toyo and Chuyo. In Nanyo, the percentage of subjects who consumed rice and fish (men and women), meat (men), and juice (women) on a daily basis was higher than in Toyo and Chuyo.
Conclusion: In Nanyo, higher SMR for stroke may be related to high SBP and DBP and low T-CHO. As background to these results, it is also thought that regional differences in dietary habits may have an influence.

Objective: In our country, the measure for the spread of the generic has been introduced over several-time as part of the moderation in health care cost plan.  However, not having related to an enough spread unlike Europe and America yet is a current state.  Then, we investigated from the view point of patients.  A detailed examination was performed for the acknowledgment level and attitude toward the generic drug.
Design and Method: The questionnaire survey was performed for the patient who used the community pharmacy for dispensing prescription.  The investigation was performed for two weeks (June and July, 2008) at the 50 drugstores in Hokkaido.  The patient attribute, source of information, and kind of the taking medicine were examined as a factor to affect decision making for generic drug substitution.
Result: The main results are as follows.  The patients who did not know generic drugs accounted 52% of the total and the patients who did not know the words called generic drugs was 16%.  This result shows that the degree of the recognition about generic drugs at that time was still low.  The information source for the patients who learned generic drugs were articles of the newspaper, a TV program, and advertising with accounted 52% of the total.  Also, the patients who prefer generic drugs in the future were 64%.  In the relationships between presence of wish for generic drugs and the source of information, the case of from the doctor, was significant (p<0.05) and the case from the pharmacist showed the tendencies of statistical significance (p=0.076).
Conclusion: From the viewpoint of medicine costs restraint in our country, it seems that the pharmacist contributes for the patient’s generic drugs selection expected positively.

Objective: Despite the fact that the total energy intake of Japanese peoplehas decreased, the percentage of obese people has increased. This suggests that the timingof meals is related to obesity. The purpose of the study was to investigate therelationship between the timing of meals and obesity, based on analyses of physicalmeasurements, serum biochemical markers, nutrient intake, and lifestyle factors in thecontext of Chrononutrition.
Participants and Methods: We analyzed data derived from 766 residents ofToon City (286 males and 480 females) aged 30 to 79 years who underwent detailed medicalexaminations between 2011 and 2013. These medical examinations included. (1) physicalmeasurements (waist circumference, blood pressure, etc.); (2) serum biochemical markers(total cholesterol, etc.); (3) a detailed questionnaire concerning lifestyle factors suchas family structure and daily habits (22 issues), exercise and eating habits (28 issues),alcohol intake and smoking habits; (4) a food frequency questionnaire based on food groups(FFQg); and (5) a questionnaire concerning the times at which meals and snacks areconsumed.
Results: The values for body mass index (BMI) and waist circumference werehigher for participants who ate dinner less than three hours before bedtime (<3-hgroup) than those who ate more than three hours before bedtime (>3-h group). TheChi-square test showed that there was a significant difference in eating habits, e.g.,eating snacks, eating snacks at night, having dinner after 8 p.m., and having dinner after9 p.m., between the <3-h group and the >3-h group. Multiple linear regressionanalysis showed that skipping breakfast significantly influenced both waist circumference(β = 5.271) and BMI (β = 1.440) and that eating dinner <3-h before going to bed onlyinfluenced BMI (β = 0.581).
Conclusion: Skipping breakfast had a greater influence on both waistcircumference and BMI than eating dinner <3-h before going to bed.

Objectives: Despite the fact that the total energy intake of Japanese people has decreased, the percentage of obese people has increased.This suggests that the timing of meals is related to obesity.
The purpose of the study was to investigate the relationship between the timing of meals and obesity, based on analyses of physical measurements, serum biochemical markers, nutrient intake, and lifestyle factors in the context of Chrononutrition.
Participants and Methods: We analyzed data derived from 766 residents of Toon City (286 males and 480 females) aged 30 to 79 years who underwent detailed medical examinations between 2011 and 2013. These medical examinations included. (1) physical measurements (waist circumference, blood pressure, etc.); (2) serum biochemical markers (total cholesterol, etc.); (3) a detailed questionnaire concerning lifestyle factors such as family structure and daily habits (22 issues), exercise and eating habits (28 issues), alcohol intake and smoking habits; (4) a food frequency questionnaire based on food groups (FFQg);and (5) a questionnaire concerning the times at which meals and snacks are consumed.
Results: The values for body mass index (BMI) and waist circumference were higher for participants who ate dinner less than three hours before bedtime (<3-h group) than those who ate more than three hours before bedtime (>3-h group). The Chi-square test showed that there was a significant difference in eating habits, e.g., eating snacks, eating snacks at night, having dinner after 8 p.m., and having dinner after 9 p.m., between the <3-h group and the >3-h group.
Multiple linear regression analysis showed that skipping breakfast significantly influenced both waist circumference (β = 5.271) and BMI (β = 1.440) and that eating dinner <3-h before going to bed only influenced BMI (β = 0.581).
Conclusion: Skipping breakfast had a greater influence on both waist circumference and BMI than eating dinner <3-h before going to bed.

Objective: This study aimed to examine the relationship between mortality risk and health-related factors and sense of coherence (SOC) in a cohort study of residents from a rural area of Japan.Materials and Methods: We followed-up with 3,416 baseline respondents over 3.76 years. Residents were subdivided into three groups based on SOC score: low, middle, and high. We used the total SOC score of the low-level SOC group as the standard, and calculated the standardized mortality ratio (SMR) for the middle- and high-level SOC groups. For all three SOC groups, health-related factors were analyzed by one-way analysis of variance, and lifestyle and history were analyzed using the χ2 test. Results were also analyzed by gender and age.Results: For men in the low-level SOC group, the SMR value was defined as 1, and for men in the high-level SOC group (0.44; 95% confidence interval: 0.11–0.77), the SMR value was significantly lower. There was a statistically significant reduction in the percentage of smokers in the men in the high-level SOC group.Conclusion: In this study, high-level SOC was associated with low mortality risk. This finding was particularly pronounced in the men.