ArticleEuropean journal of clinical nutrition2021
Energy intake and energy contributions of macronutrients and major food sources among Chinese adults: CHNS 2015 and CNTCS 2015.
Article in European journal of clinical nutrition, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 15 citations in OpenAlex.
- [Development and validation of a comprehensive evaluation index system for preconception health behaviors in reproduc-tive-aged populations].Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences · 2026Article
- Pathophysiology of type 2 diabetes: A focus on the metabolic differences among southeast Asian, Chinese and Indian populations and how this impacts treatment.Diabetes, obesity & metabolism · 2025Review
- Association of dietary patterns with general and central obesity among Chinese adults: a longitudinal population-based study.BMC public health · 2023Article
- A Digital Smartphone-Based Self-administered Tool (R+ Dietitian) for Nutritional Risk Screening and Dietary Assessment in Hospitalized Patients With Cancer: Evaluation and Diagnostic Accuracy Study.JMIR formative research · 2022Article
- Tomato By-Products, a Source of Nutrients for the Prevention and Reduction of Malnutrition.Nutrients · 2022Article
- Longitudinal Association of Dietary Energy Density with Abdominal Obesity among Chinese Adults from CHNS 1993-2018.Nutrients · 2022Article
- Relationship Between Dietary Fiber and Vitamin C Intake and Oral Cancer.Frontiers in public health · 2022Article
- Association Between Dietary Fatty Acid Pattern and Risk of Oral Cancer.Frontiers in nutrition · 2022Article
- Associations of combined lifestyle behaviors with all-cause and cardiovascular mortality in adults: A population-based cohort study in Jiangxi Province of China.Frontiers in public health · 2022Article
- Dietary Diversity and Nutrient Intake of Han and Dongxiang Smallholder Farmers in Poverty Areas of Northwest China.Nutrients · 2021Article
- Associations between perceived stress and BMI and waist circumference in Chinese adults: data from the 2015 China Health and Nutrition Survey.Public health nutrition · 2021Article
- The Status of Dietary Energy and Nutrients Intakes among Chinese Elderly Aged 80 and Above: Data from the CACDNS 2015.Nutrients · 2021Article
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundExcessive energy intake and unbalanced food choices are major health concerns associated with obesity and related chronic diseases. This study evaluates the levels of dietary energy intake and the energy contributions of macronutrients, major food sources, and various eating occasions and processed food among Chinese adults.
methodsThe study examined a cross-sectional sample from CHNS and CNTCS 2015 that used three 24 h recalls and calculated energy intake and food sources based on the China Food Composition Table. After excluding extreme values, the analyses included 11,974 subjects aged 18-64.
resultsThe estimated energy intake was 2063.3 kcal/d (2243.8 kcal/d for males and 1902.4 kcal/d for females), and 39.1% of subjects met the gender-age-PA-based Estimated Energy Requirement. The proportion of energy from fats was 35.8% without significant age or gender differences. Adults of lower socioeconomic statuses, indicated by lower education levels and lower household incomes per capita, consumed lower percentages of energy from fats and higher percentages from carbohydrates. The study population as a whole reported an average energy density of 1.88 kcal/g and an energy contribution from restaurant foods of 1.8%.
conclusionsThe study reports a lower energy intake level than CHNS 2009. Adults living in southern China or urban areas, which are relatively developed regions, or with higher socioeconomic statuses consumed less energy from carbohydrates, moderate amounts from proteins, and more from fats, indicating a need for dietary guidelines or interventions that take into account socio-demographic factors.
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