TY - JOUR
T1 - Macronutrient intake and socioeconomic status
T2 - NIPPON DATA2010
AU - NIPPON DATA2010 Research Group
AU - Sakurai, Masaru
AU - Nakagawa, Hideaki
AU - Kadota, Aya
AU - Yoshita, Katsushi
AU - Nakamura, Yasuyuki
AU - Okuda, Nagako
AU - Nishi, Nobuo
AU - Miyamoto, Yoshihiro
AU - Arima, Hisatomi
AU - Ohkubo, Takayoshi
AU - Okamura, Tomonori
AU - Ueshima, Hirotsugu
AU - Okayama, Akira
AU - Miura, Katsuyuki
N1 - Funding Information:
Funding sources: This study was supported by Health and Labour Sciences Research Grants of the Ministry of Health, Labour and Welfare, Japan (Comprehensive Research on Life-Style Related Diseases including Cardiovascular Diseases and Diabetes Mellitus [H22-Junkankitou-Seishuu-Sitei-017, H25-Junkankitou-Seishuu-Sitei-022]). Conflicts of interest: None declared.
Funding Information:
1Department of Social and Environmental Medicine, Kanazawa Medical University, Ishikawa, Japan 2Medical Research Institute, Kanazawa Medical University, Ishikawa, Japan 3Center for Epidemiologic Research in Asia, Shiga University of Medical Science, Shiga, Japan 4Department of Public Health, Shiga University of Medical Science, Shiga, Japan 5Department of Food and Human Health Science, Osaka City University Graduate School of Human Life Science, Osaka, Japan 6Department of Food Science and Human Nutrition, Ryukoku University, Shiga, Japan 7Department of Health and Nutrition, University of Human Arts and Sciences, Saitama, Japan 8International Center for Nutrition and Information, National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo, Japan 9Department of Preventive Cardiology, National Cerebral and Cardiovascular Center, Osaka, Japan 10Department of Preventive Medicine and Public Health, Faculty of Medicine, Fukuoka University, Fukuoka, Japan 11Department of Hygiene and Public Health, Teikyo University School of Medicine, Tokyo, Japan 12Department of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan 13Research Institute of Strategy for Prevention, Tokyo, Japan
Funding Information:
This study was supported by Health and Labour Sciences Research Grants of the Ministry of Health, Labour and Welfare, Japan (Comprehensive Research on LifeStyle Related Diseases including Cardiovascular Diseases and Diabetes Mellitus [H22-Junkankitou-Seishuu-Sitei-017, H25-Junkankitou-Seishuu-Sitei-022]).
Publisher Copyright:
© 2018 Masaru Sakurai et al.
PY - 2018
Y1 - 2018
N2 - Background: This study examined the relationships among household income, other SES indicators, and macronutrient intake in a cross-sectional study of a representative Japanese population. Methods: In 2010, we established a cohort of participants in the National Health and Nutrition Survey (NHNS) from 300 randomly selected areas throughout Japan. A total of 2,637 participants (1,145 men and 1,492 women) were included in the study. Data from NHNS2010 and the Comprehensive Survey of Living Conditions 2010 (CSCL2010) were merged, and relationships among macronutrient intake and SES were evaluated. Additionally, socioeconomic factors associated with a risk of a higher carbohydrate=lower fat intake beyond dietary recommendations were evaluated. Results: Household income was positively associated with fat intake (P = 0.001 for men and <0.001 for women) and inversely associated with carbohydrate intake (P = 0.003 for men and <0.001 for women) after adjustments for age and other SES variables. Similar relationships were observed between equivalent household expenditure (EHE) and macronutrient intake; however, these relationships were weaker than those of household income. Older age was the factor most strongly associated with a high carbohydrate=low fat intake, followed by household income, EHE, education levels, and occupation type. Conclusions: 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.
AB - Background: This study examined the relationships among household income, other SES indicators, and macronutrient intake in a cross-sectional study of a representative Japanese population. Methods: In 2010, we established a cohort of participants in the National Health and Nutrition Survey (NHNS) from 300 randomly selected areas throughout Japan. A total of 2,637 participants (1,145 men and 1,492 women) were included in the study. Data from NHNS2010 and the Comprehensive Survey of Living Conditions 2010 (CSCL2010) were merged, and relationships among macronutrient intake and SES were evaluated. Additionally, socioeconomic factors associated with a risk of a higher carbohydrate=lower fat intake beyond dietary recommendations were evaluated. Results: Household income was positively associated with fat intake (P = 0.001 for men and <0.001 for women) and inversely associated with carbohydrate intake (P = 0.003 for men and <0.001 for women) after adjustments for age and other SES variables. Similar relationships were observed between equivalent household expenditure (EHE) and macronutrient intake; however, these relationships were weaker than those of household income. Older age was the factor most strongly associated with a high carbohydrate=low fat intake, followed by household income, EHE, education levels, and occupation type. Conclusions: 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.
KW - Household income
KW - Macronutrient intake
KW - Nutritional epidemiology
KW - Socioeconomic status
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U2 - 10.2188/jea.JE20170250
DO - 10.2188/jea.JE20170250
M3 - Article
C2 - 29503380
AN - SCOPUS:85049244685
VL - 28
SP - S17-S22
JO - Journal of Epidemiology
JF - Journal of Epidemiology
SN - 0917-5040
ER -