Table 2.
Variable | Beta | IRR | 95% CI | P value∗ | |
---|---|---|---|---|---|
Age, y | −0.0161 | 0.98 | 0.98 | 0.99 | <.0001 |
Age of sexual debut | −0.0142 | 0.99 | 0.98 | 0.99 | <.0001 |
Cohabitation, mo | 0.0333 | 1.03 | 1.03 | 1.04 | <.0001 |
Score of SRH knowledge | 0.0008 | 1.00 | 1.00 | 1.00 | .0076 |
Gender | <.0001 | ||||
Male | 1 | 1 | |||
Female | −0.1094 | 0.90 | 0.88 | 0.92 | <.0001 |
Education attainment | |||||
Primary school graduate or below | 1 | 1 | |||
Junior middle school graduate | 0.0505 | 1.05 | 1.02 | 1.09 | .0053 |
High school graduate | 0.0545 | 1.06 | 1.02 | 1.10 | .0062 |
3-y College education | 0.0298 | 1.03 | 0.98 | 1.08 | .2179 |
Bachelor’s degree or above | 0.0617 | 1.06 | 1.01 | 1.12 | .0247 |
Occupation | |||||
Unemployed | 1 | 1 | |||
Worker | 0.0329 | 1.03 | 0.99 | 1.08 | .1451 |
Administrator | 0.0257 | 1.03 | 0.97 | 1.08 | .3318 |
Service trade | 0.0081 | 1.01 | 0.97 | 1.05 | .7001 |
Professionals | 0.0143 | 1.01 | 0.97 | 1.07 | .5730 |
Self-employment | 0.0054 | 1.01 | 0.96 | 1.05 | .8136 |
Others | 0.0323 | 1.03 | 0.97 | 1.10 | .3063 |
Personal monthly incomes | |||||
Less than ¥1,000 | 1 | 1 | |||
¥1,000–2,999 | −0.0449 | 0.96 | 0.92 | 1.00 | .0409 |
¥3,000–4,999 | −0.0279 | 0.97 | 0.93 | 1.02 | .2055 |
¥5,000–6,999 | 0.0049 | 1.00 | 0.96 | 1.06 | .8504 |
More than ¥7,000 | 0.1185 | 1.13 | 1.06 | 1.20 | .0002 |
Hukou, household registration | |||||
Agriculture account | 1 | 1 | |||
Non-agriculture account | 0.0081 | 1.01 | 0.98 | 1.03 | .5090 |
Sexual communication | |||||
Sometimes | 1 | 1 | |||
Seldom | 0.0084 | 1.01 | 0.98 | 1.03 | .5156 |
Frequently | 0.2419 | 1.27 | 1.23 | 1.31 | <.0001 |
Sexual relationship | |||||
Married | 1 | 1 | |||
Unmarried | 0.0021 | 1.00 | 0.96 | 1.05 | .9278 |
Casual sex | −0.0173 | 0.98 | 0.88 | 1.10 | .7662 |
Sexual repression | |||||
Yes | −0.0447 | 0.96 | 0.93 | 0.99 | .0058 |
No | 1 | 1 | |||
Masturbation | |||||
Yes | 0.1218 | 1.13 | 1.09 | 1.17 | <.0001 |
No | 1 | 1 | |||
Migrants’ provinces of origin | |||||
Sichuan | −0.0002 | 0.99 | 0.96 | 1.04 | .9917 |
Anhui | −0.0163 | 0.98 | 0.95 | 1.02 | .3416 |
Jiangsu | −0.0423 | 0.96 | 0.92 | 1.00 | .0377 |
Zhejiang | −0.0481 | 0.95 | 0.91 | 0.99 | .0242 |
Chongqing | −0.0083 | 0.99 | 0.95 | 1.04 | .7265 |
Henan | 0.0196 | 1.02 | 0.98 | 1.06 | .3513 |
Other provinces | 1 | 1 | |||
Investigated area | |||||
Beijing | 1 | 1 | |||
Shanghai | 0.0066 | 1.01 | 0.97 | 1.04 | .6928 |
Hangzhou | 0.0842 | 1.09 | 1.05 | 1.13 | .0001 |
Chengdu | 0.1409 | 1.15 | 1.10 | 1.20 | <.0001 |
Chongqing | 0.1514 | 1.16 | 1.11 | 1.22 | <.0001 |
IRR = incidence rate ratios; SRH = sexual and reproductive health.
IRRs and 95% CIs were calculated by the multi-variate negative binomial regression model after adjusting for demographic, socioeconomic, and epidemiological characteristics.