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Tomoko Ikeuchi

Biographic Data

ID7409277
NAMETomoko Ikeuchi
GIVEN NAMESTomoko
FAMILY NAMEIkeuchi
SIGNATUREIKEUCHI T
AFFILIATIONSTokyo Metropolitan Institute of Gerontology
ORCID0000-0002-4603-8982
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2019
LATEST PUBLICATION YEAR2023
H-INDEX0
  • Does Smartphone Use Make Older Adults Feel Younger? A Cross-Sectional Online Survey during the Covid-19 Pandemic

    Open Access•Tomoko Ikeuchi, Sakiko Itoh et al.•ARTICLE•International Journal of…•2023

    Subjective age (i.e., how old one feels) has been found to be a biopsychosocial marker of aging. This study examined the associations between subjective age and the frequency of information and communication technology (ICT) usage by older adults. Data were collected via an online survey conducted in 2020 during the COVID-19 pandemic. The study analyzed responses from participants aged 65 to 89 ( M = 71.9, SD = 3.9) who resided in Japan ( N = 163…

  • Frailty Status and Transport Disadvantage

    Open Access•Takumi Abe, Akihiko Kitamura et al.•ARTICLE•International Journal of…•2020

    This study examined differences in older adults' travel behaviours by frailty status in metropolitan, suburban, and rural areas of Japan. Data were collected from 9104 older adults (73.5 ± 5.7 years; 51% women; 19% frail) living in metropolitan (n = 5032), suburban (n = 2853), and rural areas (n = 1219) of Japan. Participants reported if they walked, cycled, drove a car, rode a car as a passenger, and used public transportation (PT) once per week…

  • Differences in the Prevalence of and Factors Associated with Frailty in Five Japanese Residential Areas

    Open Access•Takumi Abe, Akihiko Kitamura et al.•ARTICLE•International Journal of…•2019

    This study aimed to examine area differences in the prevalence of and factors associated with frailty. This cross-sectional study included metropolitan (eastern and western areas), suburban (districts A and B), and rural areas of Japan ( n = 9182, woman 50.9%). Frailty was defined by using a standardized questionnaire comprising three subcategories (fall, nutritional status, and social activities). The prevalence of frailty in the five areas was …

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  • Differences in the Prevalence of and Factors Associated with Frailty in Five Japanese Residential Areas

    Open Access•Takumi Abe, Akihiko Kitamura et al.•ARTICLE•International Journal of…•2019

    This study aimed to examine area differences in the prevalence of and factors associated with frailty. This cross-sectional study included metropolitan (eastern and western areas), suburban (districts A and B), and rural areas of Japan ( n = 9182, woman 50.9%). Frailty was defined by using a standardized questionnaire comprising three subcategories (fall, nutritional status, and social activities). The prevalence of frailty in the five areas was …

  • Frailty Status and Transport Disadvantage

    Open Access•Takumi Abe, Akihiko Kitamura et al.•ARTICLE•International Journal of…•2020

    This study examined differences in older adults' travel behaviours by frailty status in metropolitan, suburban, and rural areas of Japan. Data were collected from 9104 older adults (73.5 ± 5.7 years; 51% women; 19% frail) living in metropolitan (n = 5032), suburban (n = 2853), and rural areas (n = 1219) of Japan. Participants reported if they walked, cycled, drove a car, rode a car as a passenger, and used public transportation (PT) once per week…

  • Does Smartphone Use Make Older Adults Feel Younger? A Cross-Sectional Online Survey during the Covid-19 Pandemic

    Open Access•Tomoko Ikeuchi, Sakiko Itoh et al.•ARTICLE•International Journal of…•2023

    Subjective age (i.e., how old one feels) has been found to be a biopsychosocial marker of aging. This study examined the associations between subjective age and the frequency of information and communication technology (ICT) usage by older adults. Data were collected via an online survey conducted in 2020 during the COVID-19 pandemic. The study analyzed responses from participants aged 65 to 89 ( M = 71.9, SD = 3.9) who resided in Japan ( N = 163…

Gerontology (3 works) · Medicine (3 works) · Cross-sectional study (2 works) · Demography (2 works) · Demography (2 works) · Environmental health (2 works) · Metropolitan area (2 works) · Rural area (2 works) · Aging and Gerontology Research (1 work) · Body mass index (1 work)

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