Publications by authors named "A Okayama"

Efficient agricultural management often relies on farmers' experiential knowledge and demands considerable labor, particularly in regions with challenging terrains. To reduce these burdens, the adoption of smart technologies has garnered increasing attention. This study proposes a convolutional neural network (CNN)-based model as a decision-support tool for smart irrigation in orchard systems, focusing on persimmon cultivation in mountainous regions.

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Background: Healthy life expectancy (HLE) is a population health indicator that is widely used in developed countries, but little is known about its relationships with combinations of non-communicable disease risk factors. This study was conducted to examine HLE at age 65 according to combinations of blood pressure levels, body mass index, smoking status, and diabetes mellitus (DM) in a Japanese population.

Methods: In a nationwide cohort study (NIPPON DATA90), data on these risk factors were obtained from participants in 1990 through physical examinations, blood tests, interviews, and questionnaires.

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/: Obesity is associated with food intake, drinking, and nutrition. It is necessary to examine the association between body mass index (BMI), body weight changes, and the incidence of hypertension, focusing on potential sex differences. : A retrospective two-point cohort study was conducted using data from the Japanese Specific Health Checkup program from 2011 to 2013.

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Background: The association between alcohol consumption and atherosclerotic cardiovascular disease (ASCVD) was controversial, and no previous studies have shown the impact of dyslipidemia on the association. We aimed to clarify the association between alcohol consumption and death from cardiovascular disease (CVD) and its subtypes and the impact of dyslipidemia on the association.

Methods: We conducted a 20-year cohort study to clarify the association between alcohol intake and death from CVD and its subtypes in 2,909 Japanese men.

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Article Synopsis
  • The study investigates whether metabolic syndrome (MetS) affects the risk of functional disability differently based on sex and age in older adults.
  • A total of 11,083 participants aged 65 and older were analyzed, with findings indicating that MetS increased the risk of functional disability particularly in men and women aged 65 to 74 years.
  • Components of MetS, such as glucose intolerance and high blood pressure, were found to be significant predictors of functional disability, highlighting the importance of health intervention starting from middle age to reduce future risks.
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