| Literature DB >> 25961564 |
Shilpa Hakre1, Dariusz G Mydlarz2, Peter Dawson3, Patrick J Danaher4, Philip L Gould5, Catherine T Witkop5, Nelson L Michael6, Sheila A Peel7, Paul T Scott6, Jason F Okulicz4.
Abstract
OBJECTIVE: The objectives of this study were to describe the epidemiology of HIV in the United States Air Force (USAF) from 1996 through 2011 and to assess whether socio-demographic characteristics and service-related mobility, including military deployments, were associated with HIV infection.Entities:
Mesh:
Year: 2015 PMID: 25961564 PMCID: PMC4427109 DOI: 10.1371/journal.pone.0126700
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Frequencies and incidence rates of HIV among United States Air Force personnel in service at any time from 1996 through 2011*.
| Characteristic | No. HIV Positive | Incidence Rate per 100,000 Person Years | Incidence Rate Ratio (IRR) | 95% CI Around IRR | P-value |
|---|---|---|---|---|---|
| Component | |||||
| Active Duty | 473 | 8.40 | Referent | - | - |
| National Guard | 30 | 1.75 | 0.21 | (0.14–0.30) | <0.001 |
| Reserve | 38 | 3.31 | 0.39 | (0.28–0.55) | <0.001 |
|
| |||||
| Sex | |||||
| Male | 463 | 10.14 | 10.79 | (5.77–20.18) | <0.001 |
| Female | 10 | 0.94 | Referent | - | - |
| Race | |||||
| White | 215 | 5.15 | Referent | - | - |
| Black | 223 | 26.6 | 5.17 | (4.28–6.23) | <0.001 |
| Other | 35 | 13.38 | 2.6 | (1.82–3.72) | <0.001 |
| Age (years) | |||||
| 20 or younger | 28 | 4.81 | Referent | - | - |
| 21–24 | 126 | 9.93 | 2.06 | (1.37–3.11) | <0.001 |
| 25–29 | 133 | 10.84 | 2.25 | (1.50–3.39) | <0.001 |
| 30–34 | 77 | 8.21 | 1.71 | (1.11–2.63) | 0.015 |
| 35–39 | 66 | 7.34 | 1.53 | (0.98–2.37) | 0.061 |
| 45 or older | 10 | 4.83 | 1.00 | (0.49–2.07) | 0.993 |
*All personnel with available demographic records were included in this analysis.
**Other race included Asians or Pacific Islanders, American Indians or Alaskan natives, and individuals who self-reported their race as ‘Other’ on their personnel records.
Fig 1Incidence rates of new HIV diagnoses (and 95% confidence intervals) among active duty Air Force personnel, 1996–2011.
Socio-demographic factors of HIV-infected and matched HIV-uninfected United States Air Force active duty personnel, 1996–2011.
| Characteristic | Cases(n = 473) | Controls(n = 2315) | Unadjusted Odds Ratio | 95% Confidence Interval | P-Value |
|---|---|---|---|---|---|
| Marital status | |||||
| Married | 94 | 1297 | Referent | - | - |
| Other | 46 | 142 | 4.21 | (2.78–6.38) | <0.0001 |
| Single, never married | 333 | 873 | 9.76 | (7.20–13.2) | <0.0001 |
| Missing | 0 | 3 | - | - | - |
| Highest education attained | 0.0074 | ||||
| Bachelors or higher | 59 | 401 | Referent | - | - |
| Some college or less | 412 | 1890 | 1.71 | (1.23–2.38) | 0.0013 |
| Missing | 2 | 24 | - | - | - |
| Occupation | |||||
| Communications/ Intelligence | 170 | 494 | 2.84 | (2.14–3.76) | <0.0001 |
| Engineer/ Mechanic/ Repair | 94 | 757 | Referent | - | - |
| Healthcare | 48 | 170 | 2.20 | (1.47–3.29) | 0.0001 |
| Other | 146 | 742 | 1.57 | (1.16–2.14) | 0.0036 |
| Pilot/ aircrew | 15 | 152 | 0.73 | (0.41–1.31) | 0.2875 |
| Rank | |||||
| Enlisted | 430 | 1982 | 1.95 | (1.36,2.80) | 0.0003 |
| Officer | 43 | 333 | Referent | - | - |
| Home of Record^ | |||||
| Continental US | 304 | 1405 | Referent | - | - |
| Other/ unknown | 76 | 318 | 0.87 | (0.59,1.30) | 0.5055 |
| Missing | 93 | 592 | - | - | - |
*Other marital status included individuals who reported that they were neither married nor single on their personnel records.
**The occupation category, engineer, included non-combat engineer; ‘Other’ occupations included infantry/ combat engineer/ Special Forces/ artillery/ armor/ motor transport/ administration and other categories.^A service member’s residence at the time of entrance to the US military.
Mobility-related factors among HIV-infected and matched HIV-uninfected United States Air Force active duty personnel, 1996–2011.
| Characteristic | Cases(n = 473) | Controls(n = 2315) | Unadjusted Odds Ratio | 95% Confidence Interval | P-Value |
|---|---|---|---|---|---|
| Region of assignment | <0.0001 | ||||
| America—South | 268 | 953 | 1.70 | (1.32–2.18) | <0.0001 |
| Americas—West | 104 | 621 | Referent | - | - |
| Europe | 29 | 218 | 0.80 | (0.52–1.25) | 0.3323 |
| Non-US—Americas | 6 | 31 | 1.05 | (0.43–2.60) | 0.9112 |
| Pacific | 18 | 131 | 0.85 | (0.50–1.44) | 0.5420 |
| US—other | 42 | 300 | 0.81 | (0.55–1.19) | 0.2772 |
| Missing | 6 | 61 | - | - | - |
| Region changes | 0.0049 | ||||
| 1 | 113 | 674 | 0.89 | (0.67–1.17) | 0.3982 |
| 2 or more | 205 | 1032 | Referent | - | - |
| None | 155 | 609 | 1.37 | (1.04–1.82) | 0.0270 |
| Assignment /Permanent Station Changes (Zip Code) | 0.0956 | ||||
| 0–1 | 136 | 591 | 1.25 | (0.96–1.62) | 0.0956 |
| 2 or more | 337 | 1724 | Referent | - | - |
| Number of prior deployments | <0.0001 | ||||
| Deployed | 171 | 1041 | Referent | - | - |
| None | 302 | 1274 | 1.62 | (1.28–2.05) | <0.0001 |
| Total deployments during prior 2 years | <0.0001 | ||||
| 1 or more | 90 | 690 | Referent | - | - |
| None | 383 | 1625 | 1.95 | (1.50–2.54) | <0.0001 |
Characteristics retained in multivariate conditional logistic regression model.
| Factor | Comparison | Adjusted Odds Ratio | 95% CI | P-value |
|---|---|---|---|---|
| Total deployments during prior 2 years | None vs. one | 2.02 | (1.47–2.78) | <0.0001 |
| Marital status | Other vs. married | 4.60 | (2.72–7.75) | <0.0001 |
| Single vs. married | 8.15 | (5.71–11.6) | <0.0001 | |
| Occupation | Communication/ intelligence vs. engineer/ mechanic/ repair | 2.57 | (1.84–3.60) | <0.0001 |
| Healthcare vs. engineer/ mechanic/ repair | 2.07 | (1.28–3.35) | 0.0030 | |
| Other vs. engineer/ mechanic/ repair | 1.60 | (1.12–2.28) | 0.0097 | |
| Pilot/ aircrew vs. engineer/ mechanic/ repair | 0.83 | (0.30–2.27) | 0.7148 |