This study investigates social connectedness and social support in a military and civilian college population, and their associations with psychological, physical and stress-related health. There were 301 total participants, 51 of which were military personnel. The participant’s ages ranged from 18-59 (M = 23.48, SD = 7.24), with majority of the participants being female (71.8%), Caucasian (66.1%) and in a relationship (50.8%). The study was administered online via SONA. The following measures were administered in this study: the Social Connectedness Scale, the Multidimensional Scale of Perceived Social Support, the Physical Health Questionnaire, MOS Short Form Survey Instrument, UCLA Loneliness Scale, the Depression Patient Health Questionnaire, Hopkins Symptom Checklist Anxiety Scale, and the PTSD Checklist- Civilian Version. Veteran students indicated several issues while transitioning to higher education, as well as, several factors that they feel make them unique from their peers. Social connectedness significantly predicted all measures of health, especially PTSD (β = -.43, p < .001), depression (β = -.47, p < .001) and general health (β = -.30, p < .001), with higher rates of social connectedness denoting less symptoms. The social support’s association with health via the main effect model was supported by the results, whereas, the buffering hypothesis model was not supported. Social support was most predictive of anxiety (β = -.28, p < .001), PTSD (β = -.37, p < .001) and general health (β = .36, p < .001). Military status was not associated with social connectedness, rendering the serial multiple mediation model untestable. This study provides empirical evidence that social connectedness is a powerful and pervasive human need, with important health implications.

Climate change is currently threatening the livelihoods of farmers in developing countries. Psychological models have been developed to identify factors associated with adapting to climate change; however, little work has investigated the role of farmers’ risk attitudes in these models. We assessed perceptions of adaptation cost and adaptation intentions for five drought- specific adaptive behaviors among 550 farmers from 12 villages in the dry zone of Sri Lanka, as well as their attitudes toward risk. Results suggest that perceived adaptation cost and risk attitude are negatively associated with adaptation intentions. The conditional effect of adaptation cost on adaptation intention as a function of risk attitude was also investigated. Results showed that only farmers with risk averse attitudes were impacted by their perceptions of adaptation costs. These findings have implications for those interested in increasing adaptive practices of farmers in developing countries who face increasingly scarce water supplies.