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Macronutrient Intake and Socioeconomic Status: NIPPON DATA2010.

Masaru SakuraiHideaki NakagawaAya KadotaKatsushi YoshitaYasuyuki NakamuraNagako OkudaNobuo NishiYoshihiro MiyamotoHisatomi ArimaTakayoshi OhkuboTomonori OkamuraHirotsugu UeshimaAkira OkayamaKatsuyuki Miura
Published in: Journal of epidemiology (2018)
Older age was the factor most strongly associated with a high carbohydrate/low fat intake, and some aspects of SES, such as household income, EHE, education levels, and occupation type, were independently associated with an imbalanced macronutrient intake. SES may affect the health status of individuals through the intake of macronutrients.
Keyphrases
  • weight gain
  • adipose tissue
  • mental health
  • electronic health record
  • machine learning
  • quality improvement
  • middle aged
  • fatty acid
  • weight loss
  • artificial intelligence
  • data analysis
  • community dwelling