An OfficerWarrant Officer Marital Status Married Single CD4 Cell Count Groups
An OfficerWarrant Officer Marital Status Married Single CD4 Cell Count Groups Much less Than 200 Involving 200 and 499 Greater than 499 Plasma Viral Load 50 copiesmL Yes No Healthcare Comorbidity Yes No Mental Comorbidity Yes No AIDS Yes No Duration of HIV infection (per 5 years) Calendar Year 200 2009 2008 2007 2006 Intercept .87 0.74 two.58 .05 NA 0.98 0.77 0.82 0.52 NA 0.06, 3.79 0.78, two.25 0.97, four.9 0.03, two.08 NA 0.06 0.34 0.002 0.04 NA 0.52 0.46 .38 .47 58.4 0.95 0.75 0.78 0.49 .62 two.38, .35 .92, .0 0.six, two.92 0.five, 2.43 54.97, 6.3 0.59 0.54 0.08 0.003 .000 6.09 .49 0.68 0.5 7.42, four.76 .79, .20 .000 .000 2.38 0.05 0.72 0.23 3.79, 0.98 0.four, 0.5 0.0009 0.83 4.60 PubMed ID:https://www.ncbi.nlm.nih.gov/pubmed/21189263 0.49 5.56, 3.63 .000 2.82 0.49 3.79, .85 .000 five.08 0.62 6.29, three.87 .000 two.5 0.63 3.75, .27 .000 0.57 0.44 0.30, .43 0.20 7.75 0.59 0.93 0.45 9.57, five.93 .47, 0.29 .000 0.9 5.84 0.70 0.9 0.43 7.63, 4.06 .55, 0.five .000 0. .75 0.47 two.67, 0.82 0.0002 .23 0.45 2 0.35 0.006 2.02 six. 0.84 0.86 three.68, 0.36 7.80, 4.four 0.02 .000 .94 three.23 0.83 0.88 3.56, 0.32 four.96, .50 0.02 0.0003 0.07 0. 33 0.48 0.65 0.88, .0 0.95, .6 0.89 0.six 2.99 0.86 .30, four.68 0.0005 2.27 0.83 0.64, 3.90 0.006 .99 .79 2.59 .02 0.57 0.80 0.53 0.0 0.88, three. 3.35, 0.23 three.64, .55 .22, 0.82 0.0005 0.02 .000 .000 0.52 .2 0.7 0.50 0.63 0.76 0.54 0.four .76, 0.72 two.six, 0.38 .77, 0.35 0.77, 0.23 0.four 0.4 0.9 0.0003 SE Physical Element Summary Scores Unadjusted Model 95 CI pValue Adjusted Model (n 652) Coefficient SE 95 CI pValueF statistics for univariate HAART status is 22.28 using a K 01-162 corresponding pvalue of .000 https:doi.org0.37journal.pone.078953.tPLOS A single https:doi.org0.37journal.pone.078953 June 7,eight HRQOL among HIV patients on ARTTable four. Unadjusted and adjusted MCS scores for HAART with PIHAART because the referent category. Variable Coefficient HAART Status HAART Na e OffHAART NonPIBased HAART PIBased HAART four.59 0.eight two.59 0.58 0.8 0.53 three.44, five.73 0.77, 2.39 .55, 3.64 .000 0.32 .000 0.9 0.40 0.7 0.74 0.77 0.54 .25, .64 .92, . 0.35, .77 0.79 0.60 0.9 SE Physical Component Summary Scores PCSS Unadjusted Model 95 CI pValue PCSS Adjusted Model (n 652) Coefficient SE 95 CI pValueF statistics for univariate HAART status is 22.28 having a corresponding pvalue of .000 exact same as for Table 3 above Adjusted for identical variables as in Tablehttps:doi.org0.37journal.pone.078953.tindependently linked with reduce MCS scores had been CD4 cell count 200 cellsmm3 ( .93, 95 CL: three.35, 0.05) and mental comorbidity ( 6.25, 95 CL: 7.25, five.25). Plasma viral load 50 copiesmL and AIDS diagnosis had been linked with reduce MCS scores inside the unadjusted models but not inside the adjusted model. The MCS scores of participants getting protease inhibitors were not drastically diverse from those of getting nonprotease inhibitors. MCS scores have been .44 and two.34 significantly decrease for the HAARTNa e and OffHAART groups respectively when compared with those on NPIHAART. These variations have been no longer 
substantial immediately after adjustment. However, the PIHAART group didn’t show any differences in MCS scores prior to and following adjustment with the HAARTna e and OffHAART groups (Table 6). We did not discover any proof of multicollinearity or substantial interaction within the final multivariate models.Components independently connected with PCS scores in our cohort have been age, CD4 cell count 200 cellsmm3, mental comorbidity, military rank, marital status, gender, medical comorbidity, AIDS diagnosis, and baseline enrollment year being 2007. Age has been reported inside the literatur.