Summary The study was carried outwith the aim of examining the association that existed “between the social capital and all-cause mortality in a large in a large occupational cohort in Finland” (Oksanen et al, 2011, p.1742). Moreover, one of the hypotheses that the study sought to test is whether low workplace social capital exposure and the associated changes in capital had an association with increased levels of mortality (OKsanen 2011). Also, the study examined the above relationship using previous corresponding findings on depression, self related health, workplace social capital, and 22 all-cause mortality correlates. The study’s respondents came from the Finnish public sector where employees were selected in 21 hospitals from different towns in Finland. While conducting the study, the records of the employees were used with the aim of identifying the eligible sample from the population who would be used during the survey. Two surveys were carried out but the analyses used only 28043 employees of between 20 and 66 years of age. The mortality rate was analyzed among the employees in the period between January 2005 and December 2009. The study combined both exploratory and explanatory study methods. For example, it is exploratory in the sense that it gives an introduction on the issues under the study as part of its exploration. On the other hand, it is explanatory as the researchers developed a hypothesis which is later proven after the collection and analysis of the collected data. Both qualitative and quantitative research methods were used in the study. For instance, statistical data was collected which was used for statistical inferences like regression and variances calculation. On the other hand, the study used qualitative data and information like demographics, age, and behaviours. On analysis, the data was quantitatively and qualitatively analyzed. For example, statistical variances, means, confidence intervals, and regression analysis were carried which are quantitative analyses. In the process, SAS software was used to analyze the data statistically. The study also adopted already existing data of the sample population which was collected from different offices. For example, demographic statistics of the employees were collected from the different employers of the sample population. Questionnaires were also designed and used to collect data and information from the selected sample. For example, a 12 item General Health Questionnaire was applied to measure psychological distress (OKsanen 2011). Generally, the research findings showed a strong correlation between death and use of antidepressants and current smoking. As a result, males were associated with a higher mortality rate compared to women. On the aspect of demographics, the results from item 1 and 2 had similar results with less discrepancies being witnessed. The results on mortality risk and workplace social capital were parallel to the estimates of Cox regression. Therefore, the study hypothesis was verified as a relationship was found to exist between workplace social factor and employee mortality. To sum it up, the analytical studies carried showed that low workplace social capital could result to lowered employee mortality (OKsanen 2011). The authors conclude that diverse studies