ArticleJournal of epidemiology2018
Macronutrient Intake and Socioeconomic Status: NIPPON DATA2010.
Article in Journal of epidemiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- The association between dietary total, animal and plant protein and macronutrient substitution; and the risk of all-cause, cardiovascular or cancer mortality in the Golestan cohort study.BMC public health · 2026Article
- Bridging knowledge gaps in salt consumption for public health action: a cross-sectional study in Saudi Arabia.Internal and emergency medicine · 2026Article
- The association between family economic status and nutrient intake among preschool children attending nursery schools in Japan.Asia Pacific journal of clinical nutrition · 2026Article
- Nutritional Changes and Contributing Factors in Iran: A Comprehensive Study From PERSIAN Cohort Study (2015-2017 and 2021-2023).Food science & nutrition · 2026Article
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- Dietary patterns derived by reduced rank regression, macronutrients as response variables, and variation by economic status: NHANES 1999-2018.European journal of nutrition · 2024Article
- Effects of Interaction betweenNutrients · 2023Article
- Association between Seafood Intake and Cardiovascular Disease in South Korean Adults: A Community-Based Prospective Cohort Study.Nutrients · 2022Article
- The Direct and Structure Effect of Income on Nutrition Demand of Chinese Rural Residents.International journal of environmental research and public health · 2022Article
- Household Income Is Related to Dietary Fiber Intake and Dietary Acid Load in People with Type 2 Diabetes: A Cross-Sectional Study.Nutrients · 2022Article
- Analysis of the Relationship between Socioeconomic Status and Incidence of Hysterectomy Using Data of the Korean Genome and Epidemiology Study (KoGES).Healthcare (Basel, Switzerland) · 2022Article
- Association between Carbohydrate Intake and the Prevalence of Metabolic Syndrome in Korean Women.Nutrients · 2021Article
- Iron Fortification and Supplementation: Fighting Anemia of Chronic Diseases or Fueling Obesity?Current developments in nutrition · 2021Article
- Inverse Association between Iron Deficiency and Glycated Hemoglobin Levels in Ghanaian Adults-the RODAM Study.The Journal of nutrition · 2020Article
- Article
- A qualitative study of the drivers of socioeconomic inequalities in men's eating behaviours.BMC public health · 2018Article
Corrections and comments
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Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThis study examined the relationships among household income, other SES indicators, and macronutrient intake in a cross-sectional study of a representative Japanese population.
methodsIn 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.
resultsHousehold 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.
conclusionsOlder 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.
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