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. 2020 Aug 25;22(8):e19777. doi: 10.2196/19777

Table 4.

Lifestyle factors and their associations with the sex of the target audience.

Lifestyle factor Sex of target audience Chi-square df b P valuec

Malea, n (%) Femalea, n (%)


Sexually transmitted diseases (n=108)

121.5 1 <.001d

Number of webpages with codes 13 (12.0) 95 (88.0)



Number of webpages without codes 95 (88.0) 13 (12.0)


Psychological stress (n=108)

9.8 1 .002d

Number of webpages with codes 42 (38.9) 66 (61.1)



Number of webpages without codes 66 (61.1) 42 (38.9)


Cigarette smoking (n=86)

0.6 1 .45d

Number of webpages with codes 40 (46.5) 46 (53.5)



Number of webpages without codes 46 (53.5) 40 (46.5)


Alcohol use (n=38)

0.1 1 .82d

Number of webpages with codes 18 (47.4) 20 (52.6)



Number of webpages without codes 20 (52.6) 18 (47.4)


Nutrition and diet (n=71)

45.1 1 <.001d

Number of webpages with codes 15 (21.1) 56 (78.9)



Number of webpages without codes 56 (78.9) 15 (21.1)


Physical activity and exercise (n=46)

15.7 1 <.001d

Number of webpages with codes 13 (28.3) 33 (71.7)



Number of webpages without codes 33 (71.7) 13 (28.3)


Underweight (n=53)

<.001e

Number of webpages with codes 3 (5.7) 50 (94.3)



Number of webpages without codes 50 (94.3) 3 (5.7)


Overweight and obesity (n=47)

28.8 1 <.001d

Number of webpages with codes 10 (21.3) 37 (78.7)



Number of webpages without codes 37 (78.7) 10 (21.3)


Environmental pollutants (n=13)

>.99e

Number of webpages with codes 6 (46.2) 7 (53.8)



Number of webpages without codes 7 (53.8) 6 (46.2)


aWe categorized the information into two groups: (1) information for men plus information for both men and women and (2) information for women plus information for both men and women. Lifestyle factors that could not be classified in this way were treated as missing.

bDegrees of freedom.

cP values compare the information for men with the information for women.

dChi-square test.

eFisher exact test.