The HIV-AIDS pandemic in the contemporary scenarios has enmeshes approximately 35 million peoples across world; 24.5 million in South Africa; 4.7 million in Asia; 2.39 million in India and more than 8,878 even in tiny Himachal Pradesh. The socio-psychological factors might have played pivotal role in mounting allostatic load and psychological distresses among them that the present intends to explore amongst HIV-AIDS people of Hamipur district of Himachal Pradesh. The study has been conducted on a sample of N = 100 people (50 HIV+ ve + 50 Normal) further subdivided into two categories based on their gender (25 men and 25 women), thus, form four groups with n = 25 subjects in each. These subjects were assessed with the help of ICMR Psycho-social Stress questionnaire, Social Support questionnaire, PGI Health Questionnaire and General wellbeing. Results based on ANOVA revealed that the main effect of Gender on the measure of Psychosocial stress Questionnaire Part-A was found F (1, 96) = 21.85, p<. 01 as statistically significant wherein the men (78.3) reported higher stress as compared to the women (76.00). Similarly the main effect of Gender on the measure of Psychosocial stress Part-B was also found F (1, 96) = 57.58, p<. 01 as statistically significant wherein women reported higher stress (20.50) as compared to their men counterpart (19.70). The main effect of Sex in Social Support Part-I was found F (1, 96) = 13.31, p<. 01 as statistically significant wherein women perceived more support (3.38) as compared to their men counterpart 3.23. The main effect of Population on the measure of General Health Part-A was found F (1, 96) = 8.24, p<. 01 as statistically significant where in HIV+ ve people reported poor health (6.56) as compared to normal counterpart (3.58). Further, the main effect of Sex on the measure of PGI Health-A was found F (1, 96) = 25.32, p<. 01 as statistically significant wherein female were found vulnerable (5.92) as compared to their men counterpart (4.22). Further main effect of Population on the measure of PGI Health Part -B was found F (1, 96) = 20.35, p<. 01 as statistically significant wherein HIV+ ve people reported poor health (9.46) as compared to their normal counterpart(6.68). The main effect of Sex on the PGI-B was found F (1, 96) = 25.90, p<. 01 as statistically significant wherein the female reported more health problem (9.84) as compared to their men counterpart (6.30). The main effect of Population on the measure of PGI Health -Total was found F (1, 96) = 21.12, p<. 01 as statistically significant wherein HIV+ ve people reported poor health (16.02) as compared to their normal people counterpart (10.24). Further significant gender difference was also found F (1, 96) = 25.90, p<. 01) wherein female reported poor general health (15.74) as compared to men counterpart (10.52). The main effect of the gender on the measure of General Wellbeing was found F (1, 96)= 62.57, p<. 01 as statistically significant wherein men reported poor wellbeing (12.30) as compared to their women counterpart (12.40). In HIV Positive Male Group a positive and significant correlations was found between ICMR-II and general health (r =.505, p<. 01). In HIV+ ve Female Group positive and significant correlation was found between social support-1 and General Well-being(r=. 448, p<. 05); ICMR-1 and PGI Health-B (r =.542, p<. 01) and ICMR-1 and PGI Health total (r =.444, p<. 05). In Normal Male group and significant correlation was found between CMR-1 with PGI Health-A (r =.503, p<. 05). Further in Normal Female Group positive and significant correlation was found between social support-II and PGI Health-A (r =. 626, p<. 01); and social support-II to the PGI Health total (r =.541, p<. 01). Regression analysis performed on the HIV Positive Male Group revealed that the ICMR-significantly exerted its influence (F= 7.67, p <. 01) on PGI Health-A; The ICMR-1I on PGI Health A (F= 7.89, p <. 01). In HIV Positive Female group the Social support exerted its influence (F = 5.79, p<. 01) on general wellbeing; ICMR on PGI Health-B (F = 9.55, p<. 01); ICMR-I on PGI Health A + B(F = 5.64, p <.01). In Normal Male group ICMR-I exerted its influence on PGI Health A (F = 7.79, p<. 01); Social support -II on PGI-Total (F= 9.50, p<. 01). Normal Female group the Social support-II exerted its influence on PGI Health A (F = 14.82, p<. 01). In nut shell, the women experienced high degree of stress than to men at the same time experienced more social support. Similarly the HIV positive people reported poor health and wellbeing as compared to their normal counterpart. The psychosocial stress and social support exerted its influence on the general health and wellbeing among the HIV Positive people.
