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Chika Horikawa

Biographic Data

ID6259319
NAMEChika Horikawa
GIVEN NAMESChika
FAMILY NAMEHorikawa
SIGNATUREHORIKAWA C
AFFILIATIONSUniversity of Niigata Prefecture
ORCID0000-0003-4213-0252
VERIFIEDYes
TOTAL WORKS5
TOTAL CITATIONS4
WORKS AS AUTHOR5
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2012
LATEST PUBLICATION YEAR2025
H-INDEX1
  • Demographic and dietary determinants of the association between dietary fibre intake and obesity in Japanese adults with type 2 diabetes

    Open Access•Efrem d’Avila Ferreira, Mariko Hatta et al.•ARTICLE•Public Health Nutrition•2025

    Objective: To evaluate the association between dietary fibre intake and obesity in Japanese outpatients with type 2 diabetes, as well as the demographic and dietary factors influencing this association. Design: Cross-sectional study with nationwide registry data on Japanese type 2 diabetes outpatients (2014–2019). Diet was self-reported via a FFQ. Obesity was defined as BMI ≥ 25 kg/m 2 . Setting: Clinics throughout Japan. Participants: 1565 Japan…

  • Guardians’ food literacy and breakfast skipping among Japanese school children

    Open Access•Nihaal Rahman, Kazue Ishitsuka et al.•ARTICLE•Appetite•2024•Cited by: 1•References: 37

  • Machine learning approach to predict body weight in adults

    Open Access•Kazuya Fujihara, Ilídia da Ascenção Garrido Martins Juras et al.•ARTICLE•Frontiers in Public Health•2023

    The HMLT-based machine learning model could successfully predict weight change over 3 years. Our model could automatically identify groups whose lifestyle profoundly impacted weight loss and factors the influenced body weight change in individuals. Although this model must be validated in other populations, including other ethnic groups, before being widely implemented in global clinical settings, results suggested that this machine learning mode…

  • Japanese school children's intake of selected food groups and meal quality due to differences in guardian's literacy of meal preparation for children during the Covid-19 pandemic

    Open Access•Chika Horikawa, Nobuko Murayama et al.•ARTICLE•Appetite•2023•Cited by: 3•References: 30

  • Quality of Internet information related to the Mediterranean diet

    Open Access•Reiko Hirasawa, Kazumi Saito et al.•ARTICLE•Public Health Nutrition•2012

    Objective The present study aimed to evaluate the quality of Internet information on the Mediterranean diet and to determine the relationship between the quality of information and the website source. Design Website sources were categorized as institutional, pharmaceutical, non-pharmaceutical commercial, charitable, support and alternative medicine. Content quality was evaluated using the DISCERN rating instrument, the Health On the Net Foundatio…

  • Japanese school children's intake of selected food groups and meal quality due to differences in guardian's literacy of meal preparation for children during the Covid-19 pandemic

    Open Access•Chika Horikawa, Nobuko Murayama et al.•ARTICLE•Appetite•2023•Cited by: 3•References: 30

  • Guardians’ food literacy and breakfast skipping among Japanese school children

    Open Access•Nihaal Rahman, Kazue Ishitsuka et al.•ARTICLE•Appetite•2024•Cited by: 1•References: 37

  • Quality of Internet information related to the Mediterranean diet

    Open Access•Reiko Hirasawa, Kazumi Saito et al.•ARTICLE•Public Health Nutrition•2012

    Objective The present study aimed to evaluate the quality of Internet information on the Mediterranean diet and to determine the relationship between the quality of information and the website source. Design Website sources were categorized as institutional, pharmaceutical, non-pharmaceutical commercial, charitable, support and alternative medicine. Content quality was evaluated using the DISCERN rating instrument, the Health On the Net Foundatio…

  • Machine learning approach to predict body weight in adults

    Open Access•Kazuya Fujihara, Ilídia da Ascenção Garrido Martins Juras et al.•ARTICLE•Frontiers in Public Health•2023

    The HMLT-based machine learning model could successfully predict weight change over 3 years. Our model could automatically identify groups whose lifestyle profoundly impacted weight loss and factors the influenced body weight change in individuals. Although this model must be validated in other populations, including other ethnic groups, before being widely implemented in global clinical settings, results suggested that this machine learning mode…

  • Japanese school children's intake of selected food groups and meal quality due to differences in guardian's literacy of meal preparation for children during the Covid-19 pandemic

    Open Access•Chika Horikawa, Nobuko Murayama et al.•ARTICLE•Appetite•2023•Cited by: 3•References: 30

  • Guardians’ food literacy and breakfast skipping among Japanese school children

    Open Access•Nihaal Rahman, Kazue Ishitsuka et al.•ARTICLE•Appetite•2024•Cited by: 1•References: 37

  • Demographic and dietary determinants of the association between dietary fibre intake and obesity in Japanese adults with type 2 diabetes

    Open Access•Efrem d’Avila Ferreira, Mariko Hatta et al.•ARTICLE•Public Health Nutrition•2025

    Objective: To evaluate the association between dietary fibre intake and obesity in Japanese outpatients with type 2 diabetes, as well as the demographic and dietary factors influencing this association. Design: Cross-sectional study with nationwide registry data on Japanese type 2 diabetes outpatients (2014–2019). Diet was self-reported via a FFQ. Obesity was defined as BMI ≥ 25 kg/m 2 . Setting: Clinics throughout Japan. Participants: 1565 Japan…

Medicine (4 works) · Demography (3 works) · Environmental health (3 works) · Psychology (3 works) · Internal Medicine (2 works) · Obesity (2 works) · Obesity, Physical Activity, Diet (2 works) · Childhood obesity (1 work) · Coastal and Marine Management (1 work) · Computer Science (1 work)

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