体組成測定会への参加促進に向けた取り組みと参加者の特徴に関する記述

抄録

　This study aimed to report on efforts to promote participation in body composition measurements conducted at a local community center. It also describes the demographic, exercise, and physical characteristics of participants. Among the 16 measurement sessions conducted between July 2023 and September 2024, three sessions included additional participation-promotion efforts, each featuring a different approach. These efforts consisted of three specific approaches: (1) conducting the session as part of a larger health-related gathering with multiple booths; (2) coordinating with health education programs provided by other organizations; and (3) distributing flyers to senior citizen groups. Data were collected from 948 participants using a self-administered questionnaire, which included items on sex, age, height, and stages of behavior change for exercise and strength training. The skeletal muscle index (SMI) was measured using a multi-frequency bioelectrical impedance analysis device (Tanita MC 980-MA Plus). The average age of participants was 64.2 ± 15.5 years, with 62.8% aged 65 years or older. The distribution of SMI percentiles was generally similar to that reported in the 2017 National Health and Nutrition Survey in Japan. Among participants, 55.9% were in the maintenance stage of exercise behavior, while 17.9% were in the maintenance stage of strength training behavior. Men were more likely than women to be in the maintenance stage of behavioral change regarding strength training. Among participants who attended multiple times, an upward shift in the stage of behavioral change for strength training was observed between the first and second sessions. Furthermore, the measurement sessions that incorporated participation-promotion efforts had a higher number of participants and a greater proportion of first-time attendees. In addition, the composition of participants in each session appeared to reflect the characteristics of the group through which promotion was conducted. Based on these results, hypotheses were formulated to improve the implementation of body composition measurements.