2022 Fiscal Year Final Research Report
Concordance of lifestyles and health indicators of spousal pairs using large public biobank data and a subsequent development of intervention study
Project/Area Number |
20K10533
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Research Category |
Grant-in-Aid for Scientific Research (C)
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Allocation Type | Multi-year Fund |
Section | 一般 |
Review Section |
Basic Section 58030:Hygiene and public health-related: excluding laboratory approach
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Research Institution | Tohoku University (2021-2022) Saitama Prefectural University (2020) |
Principal Investigator |
Nakaya Naoki 東北大学, 東北メディカル・メガバンク機構, 教授 (60422094)
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Co-Investigator(Kenkyū-buntansha) |
土屋 菜歩 東北大学, 東北メディカル・メガバンク機構, 非常勤講師 (80396580)
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Project Period (FY) |
2020-04-01 – 2023-03-31
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Keywords | 夫婦疫学 / 配偶者 / 一致度 / 生活習慣 / 生活習慣病 |
Outline of Final Research Achievements |
In this study, no similarities between random male-female pairs were found for cardiometabolic risk factors. It was suggested that environmental factors are important for the similarity of cardiometabolic risk factors between spouse pairs observed in our previous study. As one of the preventive intervention strategies for unfavorable lifestyles and lifestyle-related diseases, strategies that focus on spouse pairs may optimize effectiveness. We considered the development of an efficient and effective lifestyle change program that specializes in couples in the future. In particular, we performed a systematic review of exercise interventions. As a result, seven couples intervention studies were published. As a result, 6 reported that it was effective and 1 reported that it was not effective. We will examine the details further in the future.
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Free Research Field |
公衆衛生学
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Academic Significance and Societal Importance of the Research Achievements |
我々は生活習慣の改善に向けた介入方法の確立を目指して研究を進めている。配偶者双方またはどちらかに向けた生活習慣への介入が効率的・効果的であると考えられる。例として、喫煙中の夫に対して禁煙指導したとしても、妻も喫煙している場合に夫の禁煙のモチベーションに影響する可能性がある。 本研究では循環代謝リスク因子についてランダムな男女ペア間の類似性はほとんど見られなかった。我々の先行研究で観察された配偶者ペア間の循環代謝リスク因子の類似性は、環境要因が重要であることが示唆された。生活習慣や生活習慣病の予防介入戦略のひとつとして配偶者ペアに焦点を当てた方略により効果が最適化できる可能性がある。
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