BackgroundFamily physicians should maintain regular contact with obese patients to ensure they effectively reduce their body weight. However, family physicians in Japan have on average only 6 (min) per consultation, and conventional interventions for body weight reduction require a longer consultation or additional manpower. A brief intervention within the limited consultation time available is therefore needed. Here we investigated the effectiveness of a brief weight reduction intervention for obese patients and the related factors for reducing body weight during routine consultations in the primary care setting.MethodWe conducted an open-label randomized controlled trial at a family medicine clinic in Fukushima, Japan from January 2010 to June 2011. Patients aged 30 to 69 years with body mass index ≥25 who were diagnosed with hypertension, dyslipidemia, and/or type 2 diabetes mellitus were randomly assigned to the intervention or control group. At every consultation, body weight in the intervention group was measured by a family physician who provided weight reduction advice in addition to usual care. The primary outcome was body weight change at 1-year follow up. Analysis was done by intention to treat.ResultWe randomly assigned 29 participants to the intervention group and 21 to the control group. Forty participants (80 %) remained in the trial until the 1-year follow up. At follow up, the median body weight change from baseline was not significantly different between the groups (p = 0.68), at −0.8 (interquartile range [IQR] −2.5 to 1.0) kg in the intervention group and 0.2 (IQR −2.4 to 0.8) kg in the control group.ConclusionWe devised an intervention method for physicians to measure body weight and advise on weight reduction during routine consultations. In our setting, this method did not extend the consultation time, but also had no significant additional effects on body weight reduction in moderately obese patients.Trial registrationThis trial is registered with the UMIN Clinical Trial Registry (UMIN000002967).

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ABSTRACT Objectives: On March 11, 2011, a magnitude 9 earthquake (the Great East Japan Earthquake) occurred off the east coast of Japan. After the Fukushima Daiichi Nuclear Power Plant accidents, as of 2016, people were not allowed to live in the 6 districts (Tomioka, Okuma, Futaba, Namie, Katsurao, Iidate) in Fukushima Prefecture. In the present study, we aimed to evaluate the long-term effects of displacement on all-cause mortality in Fukushima Prefecture. Methods: Data regarding population and deaths from 2009 to 2016 in Fukushima Prefecture were obtained from the governmental statistics. The age-adjusted all-cause mortality were compared among the 4 areas in Fukushima Prefecture; the Eastern, Middle, Western, and Displacement areas. Results: The age-adjusted all-cause mortality rates in the Eastern and Displacement areas were higher than in the other 2 areas from 2009 to 2011. During the period from 2012 to 2016, all-cause mortality in the Displacement area decreased to the lowest, while the morality in the Eastern area remained the highest. Conclusions: Against all expectations, after the earthquake, all-cause mortality in the Displacement area was continuously lower than in the rest of the Fukushima Prefecture. Following disasters, long-term monitoring should be organized to meet local health-care needs.

Background : In order for general practice / family medicine clerkships to be improved in undergraduate medical education, it is necessary to clarify the impacts of general practice / family medicine clerkships. Using text mining to analyze the reflective writing of medical students may be useful for further understanding the impacts of clinical clerkships on medical students. Methods : The study involved 125 fifthyear Fukushima Medical University School of Medicine students in the academic year 2018 -2019. The settings were three clinics and the study period was 5 days. The clerkships included outpatient and home visits. Students' reflective writing on their clerkship experience was collected on the final day. Text mining was used to extract the most frequent words (nouns) from the reflective writing. A cooccurrence network map was created to illustrate the relationships between the most frequent words. Results : 124 students participated in the study. The total number of sentences extracted was 321 and the total number of words was 10,627. The top five frequentlyoccurring words were patient, homevisit, medical practice, medical care, and family. From the cooccurrence network map, a cooccurrence relationship was recognized between homevisit and family. Conclusion : Data suggest that medical students may learn the necessity of care for the family as well as the patient in a homecare setting.