Risk Management and Healthcare Policy (Sep 2021)

Efficacy of Additional Intervention to the Specific Health Guidance in Japan: The Takahata GENKI Project

  • Enomoto N,
  • Nakamura S,
  • Kanda S,
  • Endo H,
  • Yamada E,
  • Kobayashi S,
  • Kido M,
  • Inoue R,
  • Shimakura J,
  • Narimatsu H

Journal volume & issue
Vol. Volume 14
pp. 3935 – 3943

Abstract

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Nao Enomoto,1 Sho Nakamura,2– 4 Satoru Kanda,3– 5 Hiroko Endo,1 Emiko Yamada,1 Sachiyo Kobayashi,1 Miki Kido,1 Rina Inoue,4 Junko Shimakura,6 Hiroto Narimatsu2– 4,7 1Section of Health and Longevity Service, Takahata Town Office, Takahata, Yamagata, Japan; 2Graduate School of Health of Innovation, Kanagawa University of Human Services, Kawasaki, Kanagawa, Japan; 3Cancer Prevention and Control Division, Kanagawa Cancer Center Research Institute, Yokohama, Kanagawa, Japan; 4CIKOP, Specified Nonprofit Corporation, Yamagata, Japan; 5Department of Clinical Oncology, Yamagata University Faculty of Medicine, Yamagata, Japan; 6Section of Welfare and Child Service, Takahata Town Office, Takahata, Yamagata, Japan; 7Department of Genetic Medicine, Kanagawa Cancer Center, Yokohama, Kanagawa, JapanCorrespondence: Hiroto NarimatsuCancer Prevention and Cancer Control Division, Kanagawa Cancer Center Research Institute, 2-3-2 Nakao, Asahi-ku, Yokohama, Kanagawa, 241-8515, JapanTel +81-45-520-2222Fax +81-45-520-2216Email [email protected]: A tailored approach to individual risk factors for developing lifestyle-related diseases would help induce behavioral changes toward intervention acceptability. The addition of preventive healthcare programs to nationwide specific health guidance in Japan is adapted in a given region.Patients and Methods: We conducted a prospective parallel-group comparison study on 195 eligible residents from Takahata, Japan, with a high risk of lifestyle-related diseases from 2014 to 2017 to examine whether such an intervention could improve the body mass index (BMI) and estimated glomerular filtration rate (eGFR).Results: Of the 195 enrolled residents, 117 were assigned to the control group and 78 to the intervention group. They were ≤ 65 years old and had a BMI ≥ 25 kg/m2 and an eGFR ≤ 90 mL/kg/1.73 m2. We conducted certain interventions for each group, including additional blood testing, regular health guidance, and specific health guidance. After one year, neither BMI (intervention: 26.7 ± 2.17 kg/m2 vs control: 27.3 ± 2.12 kg/m2, p = 0.076) nor eGFR (intervention: 72.2 ± 11.1 mL/kg/1.73 m2 vs control: 73.1 ± 10.5 mL/kg/1.73 m2, p = 0.608) differed significantly between groups. However, after three years, the BMI in the intervention group (26.4 ± 2.05 kg/m2) was significantly reduced compared to that in the control group (27.4 ± 2.26 kg/m2; p = 0.005).Conclusion: The additional interventions might have contributed to a reduction in metabolic syndrome.Trial Registration: This study was registered in the UMIN-Clinical Trials Registry (ID:000013581). More information: https://upload.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000015868. The registration date was 31/03/2014.Keywords: personalized preventive medicine, body mass index, estimated glomerular filtration rate, medical cost

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