Objective: To reveal the current use of medication notebooks in clinical practice and the differences in submission rates of medication notebooks among patients with different sociodemographic and medical characteristics.
Methods: We conducted a survey of the submission rates by studying the medication history, from June 19, 2014, to July 3, 2014.
Results: The overall submission rate of returning patients was 57.1% and the submission rate of patients who visit a single medical institution was significantly lower than patients who visit more than two (55.4% vs. 67.7%, p<0.001).  Multivariate logistic regression also indicated significant differences between the single and multiple medical institution visit group (adjusted OR=2.74 [95% CI: 1.93-3.89], p<0.001).  Submission rates for patients in their 20, 30, and 50 s who visit a single medical institution were lower than 40%.
Conclusions: To improve the usefulness of the community pharmacy and increase the submission rate, we need to increase awareness of the importance of medication notebooks among patients who visit a single medical institution.  Additionally, future studies need to focus on factors such as age-related issues that might affect submission rates.

Background: No consensus exists regarding which anthropometric measurements are related to bone mineral density (BMD), and this relationship may vary according to sex and age. A large Japanese cohort was analyzed to provide an understanding of the relationship between BMD and anthropometry while adjusting for known confounding factors. Methods: Our cohort included 10,827 participants who underwent multiple medical checkups including distal forearm BMD scans. Participants were stratified into four groups according to age (≥50 years or <50 years) and sex. The BMD values were adjusted for confounding factors, after which single and partial correlation analyses were performed. The prevalence of osteopenia was plotted for each weight index (weight or body mass index [BMI]) class. Results: Cross-sectional studies revealed that weight was more favorably correlated than BMI in the older group (R=0.278 and 0.212 in men and R=0.304 and 0.220 in women, respectively), whereas weight and BMI were weakly correlated in the younger age groups. The prevalence of osteopenia exhibited a negative linear relationship with weight among older women ≥50 years of age, and an accelerated increase was observed with decreasing weight in older men weighing <50 kg and younger women weighing <60 kg. When weight was replaced with BMI, the prevalence was low in most subgroups classified by weight. Conclusions Weight, rather than BMI, was the most important indicator of osteopenia but it might not be predictive of future bone loss.