| Literature DB >> 23056452 |
Wu Jie1, Zhou Xiaolan, Lu Ciyong, Eileen Moyer, Wang Hui, Hong Lingyao, Deng Xueqing.
Abstract
BACKGROUND: Sex workers in China continue to engage in unprotected sex acts that put them at risk for contracting HIV (Human Immunodeficiency Virus) and other STIs (Sexually Transmitted Infections). The purpose of this study was to explore women's work history, the context of sex work, condom use, HIV testing services, and potential barriers to condom use in a sample of FSWs (female sex workers) in Guangzhou, China. METHODOLOGY/PRINCIPALEntities:
Mesh:
Year: 2012 PMID: 23056452 PMCID: PMC3466319 DOI: 10.1371/journal.pone.0046786
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Categories of Female Sex Work.
| Categories | Name | Organization of Work and Employment Status | Income | Demographic Characteristics |
| 1 | Second wife (e’ nai) | Hired for a period by one client Self-employed | High & stable | Variable education |
| 2 | Courtesan | Big hotel, VIP club Self-employed | High | Well educated, young |
| 3 | Karaoke dancing girl | Big karaoke and dancing bar Employed by manager | Middle | Middle-level education, young |
| 4 | Massage girl (anmo nu) | Massage parlor Employed by manager | Middle | Middle-level education, young |
| 5 | Beauty Parlor girl (falang xiaojie) | Work in barbershop, small singing dancing bar, or smallroadside restaurant. Employed by manager or pimp | Middle-low | Middle-low education, young-middle age |
| 6 | Streetstanding girl (zhanjie nu) | Solicit in street, park. Employed by pimp or self-employed | Low | Low education, tend to be older |
| 7 | Factory girl (gongpeng nu) | Solicit in construction field or small factory. Employedby pimp | Lowest | Low education, tend to be older |
Adapted from [36].
Demographic Characteristics of FSWs’ participants.
| ID | Age (years) | Marital status | Level of education | Venue type | Place of interview |
| 1 | 24 | Married | elementary educations. | 4 | work place |
| 2 | 19 | Unmarried | junior high school | 5 | work place |
| 3 | 26 | Married | senior high school | 5 | work place |
| 4 | 23 | Unmarried | senior high school | 5 | work place |
| 5 | 21 | Unmarried | junior high school | 5 | work place |
| 6 | 18 | Unmarried | junior high school | 5 | work place |
| 7 | 24 | Unmarried | elementary educations. | 6 | their home |
| 8 | 23 | Unmarried | elementary educations. | 4 | work place |
| 9 | 27 | Married | junior high school | 6 | their home |
| 10 | 25 | Married | elementary educations. | 5 | work place |
| 11 | 20 | Unmarried | junior high school | 3 | work place |
| 12 | 19 | Unmarried | elementary educations. | 4 | work place |
| 13 | 21 | Unmarried | senior high school | 5 | work place |
| 14 | 32 | Married | junior high school | 6 | their home |
| 15 | 22 | Unmarried | junior high school | 4 | work place |
| 16 | 22 | Unmarried | senior high school | 3 | work place |
| 17 | 19 | Unmarried | elementary educations. | 4 | work place |
| 18 | 18 | Unmarried | junior high school | 4 | work place |
| 19 | 26 | Married | junior high school | 5 | work place |
| 20 | 24 | Unmarried | junior high school | 5 | work place |
| 21 | 25 | Unmarried | junior high school | 4 | work place |
| 22 | 25 | Unmarried | elementary educations. | 4 | work place |
| 23 | 30 | Married | elementary educations. | 6 | their home |
| 24 | 31 | Married | junior high school | 5 | work place |
Classification based on table 1.