| Literature DB >> 34781900 |
Yi Yang1, Hua Deng2, Huan He3, Shuang Feng Fan4, Yuan Li5, Xia Wu6, Na Li6, Jing Xi4, Jing Xu7, Jie Xiao7, Rui Ping Liao6, Wei Xiao6.
Abstract
BACKGROUND: China is facing big challenges to achieve the "90-90-90 targets". The HIV prevalence of elderly (≥50 years) men have been steadily increasing in China, mainly through the sexual transmission route, but sexual behaviors of them are far from well-studied. In 2019, elderly men accounted for 59.2% of HIV/AIDS cases in Sichuan, China.Entities:
Keywords: China; Elderly men; HIV; Knowledge-attitude-practice (KAP) model; Sexual behavior
Mesh:
Year: 2021 PMID: 34781900 PMCID: PMC8594087 DOI: 10.1186/s12889-021-12139-z
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
HIV-related Knowledge awareness among HIV negative elderly men who had heard about HIV/AIDS (n = 624)
| item | n (%) |
|---|---|
| Is it possible to get HIV by sharing a syringe with someone living with HIV/AIDS? | 417 (66.83) |
| Will a person get HIV by transfusion of blood with HIV? | 409 (65.54) |
| Is it possible for a child born to a woman infected with HIV to get HIV? | 342 (54.81) |
| Can a healthy-looking person have HIV? | 330 (52.88) |
| Can having sex with only one faithful, uninfected partner reduce the risk of HIV transmission? | 314 (50.32) |
| Can using condoms reduce the risk of HIV transmission? | 264 (42.31) |
| Can a person get HIV by sharing a meal with someone who is infected? | 238 (38.14) |
| A person can get HIV from mosquito bites. | 133 (21.31) |
| HIV-related Knowledge awareness rate | 196 (31.41) |
| All correct | 20 (3.21) |
Demographic characteristics and Migration Experiences of among HIV negative elderly men in Chengdu, China (n = 795)
| n(%) | n(%) | ||
|---|---|---|---|
| Age | Daily entertainment | ||
| 50–59 | 221 (27.8) | Visiting teahouse with friends | 512 (64.40) |
| 60–69 | 375 (47.17) | Playing mahjong | 359 (45.16) |
| 70–79 | 171 (21.51) | Tourism | 36 (4.53) |
| 80–87 | 28 (3.52) | Having party with friends | 132 (16.6) |
| Household residency | Exercises | 159 (20.00) | |
| rural | 784 (98.6) | Dancing at squares | 3 (0.38) |
| urban | 11 (1.4) | Watching TV | 452 (56.86) |
| Latest occupation | Other | 146 (18.36) | |
| Farm workers | 371 (46.7) | Monthly income | |
| Laborers | 273 (34.3) | No personal income | 64 (8.05) |
| Government employees | 28 (3.5) | <1000YUAN | 368 (46.29) |
| Other | 123 (15.5) | 1000-1999YUAN | 191 (24.03) |
| Education level | 2000-2999YUAN | 78 (9.81) | |
| Primary school drop outs | 350 (44.03) | 3000-3999YUAN | 52 (6.54) |
| Primary school | 179 (22.52) | 4000YUAN and above | 42 (5.28) |
| Junior high school | 207 (26.04) | Monthly expense for entertainment | |
| Senior high school and above | 59 (7.42) | < 500YUAN | 629 (79.12) |
| Marital status | 500-999YUAN | 103 (12.96) | |
| Never married | 17 (2.14) | 1000-1499YUAN | 37 (4.65) |
| Married | 648 (81.51) | 1500-1999YUAN | 14 (1.76) |
| Separated | 44 (5.53) | 2000YUAN and above | 12 (1.51) |
| divorce/widow with fixed sexual partner | 16 (2.01) | Migration | |
| Single (divorce/widow) | 70 (8.81) | More than one year ago | 382 (48.05) |
| Living with | Within the past one year | 120 (15.09) | |
| Only spouse | 306 (38.49) | Never | 293 (36.86) |
| Spouses and other family members (parents or children) | 364 (45.79) | Migration site | |
| Only other family members (parents or children) | 41 (5.16) | Other towns in County A | 317 (63.15) |
| Nobody | 78 (9.81) | Other subdistricts in the city of Chengdu | 165 (32.87) |
| In facilities | 6 (0.75) | Other cities in Sichuan Province | 200 (39.84) |
| Other provinces | 130 (25.95) |
Channels of HIV-related Health Education (HRHE) among HIV negative elderly men who had ever gotten HRHE (n = 427)
| Channel | n (%) | Latest Providers | n (%) |
|---|---|---|---|
| TV, internet, and radio | 301 (70.49) | health workers from township health center and village doctors | 234 (54.80) |
| health facilities (CDC, hospitals, and township health centers) | 249 (58.31) | public health workers from CDC | 111 (26.00) |
| families, relatives, friends and neighbors | 95 (22.25) | civil servant from township governments | 67 (15.69) |
| magazines, newspaper, and books | 47 (11.01) | village cadre | 49 (11.48) |
| others | 7 (1.64) | others | 34 (7.96) |
| doctors from other hospitals | 23 (5.39) | ||
| grandchild’s teachers | 2 (0.47) | ||
| volunteers | 1 (0.23) | ||
| pharmacist | 0 |
Association between lifetime commercial heterosexual behavior and related factors among HIV negative elderly men who have heard about HIV/AIDS, bivariate and multivariate analyses (n = 624)
| Higher value (%) | UAOR (95%CI) | AOR (95%CI) | |
|---|---|---|---|
| Age: ≥60 vs. 50–59 | 69.39 | 0.54 (0.34–0.86) | 0.41 (0.19–0.91) |
| Education level | – | ||
| Primary school vs. primary school drop outs | 21.79 | 0.64 (0.34–1.21) | |
| Junior high school vs. primary school drop outs | 29.17 | 1.33 (0.8–2.19) | |
| Senior high school and above vs. primary school drop outs | 8.97 | 0.26 (0.06–1.12) | |
| Marital Status | |||
| Married vs. never married | 84.29 | 0.19 (0.07–0.52) | 0.04 (0–0.52) |
| Married but separated vs. never married | 5.13 | 0.41 (0.12–1.43) | 0.11 (0.01–2) |
| Divorced/widowed but have one partner vs. never married | 1.76 | 0.42 (0.09–2.1) | 0.22 (0.01–7.1) |
| Divorced/widowed vs. never married | 7.53 | 0.34 (0.1–1.12) | 0.39 (0.02–6.34) |
| Experiences of work out of town | 65.22 | 2.14 (1.27–3.6) | 2.46 (1.02–5.91) |
| Daily entertainment- exercises | 17.95 | 0.37 (0.17–0.78) | – |
| Daily entertainment-watching TV | 56.09 | 0.6 (0.38–0.93) | – |
| Daily entertainment-visiting tea house with friends | 67.79 | 1.76 (1.06–2.91) | – |
| Monthly expense for entertainment | – | ||
| 500–999 vs. < 500YUAN | 15.87 | 3.78 (2.25–6.36) | |
| 1000–1499 vs. <500YUAN | 4.97 | 1.29 (0.44–3.78) | |
| 1500–1999 vs. <500YUAN | 1.60 | 0.82 (0.11–6.38) | |
| 2000 and above vs. <500 YUAN | 1.60 | 2.13 (0.45–9.97) | |
| Receiving HRHE from TV, internet, and radio | 70.49 | 0.33 (0.18–0.61) | 0.37 (0.16–0.85) |
| Self-identified vulnerable to get HIV infected. | 7.69 | 5.53 (2.93–10.45) | – |
| Attitudes toward commercial sex | |||
| Undecided vs. Accepting it as a natural human behavior | 26.92 | 0.02 (0.01–0.04) | 0.02 (0.01–0.09) |
| Objection vs. Accepting it as a natural human behavior | 40.06 | 0.02 (0.01–0.04) | 0.04 (0.01–0.1) |
| Strongly objection vs. Accepting it as a natural human behavior | 11.22 | 0 (0-) | 0 (0-) |
| Attitudes towards HIV infected family and friends if happens | – | ||
| Be fearful and stay far away vs. care for him/her more than before | 29.65 | 1.85 (0.67–5.06) | |
| Express sympathy but stay far away vs. care for him/her more than before | 23.88 | 3.28 (1.21–8.85) | |
| Express sympathy and keep in touch vs. care for him/her more than before | 22.60 | 1.66 (0.58–4.75) | |
| Treat him/her as usual vs. care for him/her more than before | 12.66 | 1.07 (0.31–3.67) | |
Note: -refers not in the model