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. Author manuscript; available in PMC: 2021 Sep 19.
Published in final edited form as: Metabolomics. 2020 Sep 19;16(10):103. doi: 10.1007/s11306-020-01724-9

Table 1.

Characteristics of the China Health and Nutrition Survey participants with plasma metabolomic data, median (interquartile range) or %

Urbana Rurala P-valueb
N 240 260
Age 54.6 (46.4–60.3) 51.8 (44.3–60.1) 0.193
Women 57.9 60.4 0.575
Completed high school education 46.7 15.8 <0.0001
Per capita household income (¥1000) 20.3 (12.4–34.0) 12.8 (5.1–21.5) <0.0001
Physical activity (METS/wk)c 63.8 (18.9–111.8) 130.5 (57.8–253.3) <0.0001
Total energy intake (kcal)d 1872.8 (1435.3–2293.7) 1744.3 (1400.7–2188.79) 0.112
Animal-source foods (%kcal)d 24.0 (16.7–32.7) 24.0 (14.8–33.9) 0.862
Diet diversitye 12.0 (10.0–14.0) 10.0 (8.0–12.0) <0.0001
a

We used a 12-component index with a continuous scale of 0–120 points to assess multiple aspects of urbanization, including population density, economic activity, transportation infrastructure, and sanitation. We dichotomized this urbanization index by median (=73.1) to define urban (76.1–99.6) and rural areas (39.2–73.1).

b

Urban-rural differences in categorical variables were assessed with χ2 and continuous variables were assessed with Wilcoxon rank sum test.

c

Physical activity in metabolic equivalent of tasks (METs) per week was measured by 7-day recalls of all domestic, occupational, transportation, and leisure activities.

d

Nutrients intake was estimated using 3 consecutive 24-h recalls and household food inventories by trained interviewers, with total energy intake validated by doubly labeled water.

e

A count of number of food groups consumed, including staple grains, fruits, vegetables, nuts, eggs, meat, seafood, and dairy products.