Publications by authors named "T Akune"

Objectives: This study aimed to investigate the prevalence of radiographic hand osteoarthritis (HOA) in older Japanese individuals in three distinct regions with unique geographic and occupational characteristics and explore the regional variations and factors, including occupational workload, that affect HOA.

Methods: We analysed the radiographic images and data of 1642 participants aged ≥60 years (mean, 75.6 years).

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Aim: This study aims to investigate the impact of aging on brain volume among community residents in Japan, focusing on trends over time and specific brain structures.

Methods: We analyzed data from the fourth survey (2015-2016) of the Research on Osteoarthritis/Osteoporosis Against Disability project, encompassing 2146 community residents from Japan's mountainous and coastal regions. A total of 1755 participants (81.

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We evaluated the role of Helicobacter pylori (H. pylori)-related chronic gastritis in the development of osteoporosis in a population-based study. A total of 1690 subjects in the cohort of the Research on Osteoarthritis/ osteoporosis Against Disability (ROAD) were investigated, and the association between gastritis and osteoporosis was evaluated by the presence of serologically assessed H.

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Objectives: To investigate the prevalence and incidence rates of sarcopenia in Japanese community-dwelling people according to the criteria of the Asian Working Group for Sarcopenia 2019 recommendations, using a large-scale population-based cohort over a 10-year follow-up period.

Design: Prospective cohort study.

Setting And Participants: This study was conducted using data from the Research on Osteoarthritis/Osteoporosis Against Disability (ROAD) study.

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Article Synopsis
  • The study aimed to identify factors linked to locomotive syndrome (LS) using medical questionnaires and machine learning techniques.
  • A total of 1,575 participants underwent LS risk tests, and after data cleaning, 331 questionnaire items were analyzed to determine their association with LS through advanced statistical methods.
  • Nine key factors, especially age and back pain during walking, were identified as strongly correlated with LS, showing better predictive performance compared to existing assessment tools.
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