Table 3 Demographic characteristics of independent samples in baseline and post-intervention surveys.
From: Multicomponent intervention increases nutrition knowledge scores in rural China
Variables | Baseline sample | Post-intervention sample | χ2 value | p-value | ||
|---|---|---|---|---|---|---|
(n = 275) | (n = 275)* | |||||
n % | n % | |||||
Gender | 0.007 | 0.932 | ||||
Male | 131 | 47.6 | 132 | 48.0 | ||
Female | 144 | 52.4 | 143 | 52.0 | ||
Age group, years | 2.594 | 0.273 | ||||
18–34 | 112 | 40.7 | 96 | 34.9 | ||
35–49 | 97 | 35.3 | 99 | 36.0 | ||
50–64 | 66 | 24 | 80 | 29.1 | ||
Village | 0.000 | 1.000 | ||||
JTC village | 55 | 20 | 55 | 20 | ||
QY village | 55 | 20 | 55 | 20 | ||
SLS village | 55 | 20 | 55 | 20 | ||
ZW Village | 55 | 20 | 55 | 20 | ||
LY village | 55 | 20 | 55 | 20 | ||
Educational level | 3.576 | 0.311 | ||||
Primary school and below | 52 | 18.9 | 38 | 13.8 | ||
Junior high school | 109 | 39.6 | 105 | 38.2 | ||
High school/vocational school/technical school | 55 | 20 | 63 | 22.9 | ||
College degree and above | 59 | 21.5 | 69 | 25.1 | ||
Occupation | 0.250 | 0.617 | ||||
Healthcare/food/education/wellness-related industries | 39 | 14.2 | 35 | 12.7 | ||
Other industries | 236 | 85.8 | 240 | 87.3 | ||
Common chronic illness | 0.930 | 0.335 | ||||
Yes | 26 | 9.5 | 33 | 12.0 | ||
No | 249 | 90.5 | 242 | 88.0 | ||
