| dc.description.abstract | The aim of this study was to examine the association between socio-economic status, anxiety and depression among expecting fathers in Kawempe Division. The study targeted 191 men and a quantitative study design that employed a correlation research design method to establish the association between variables. Social economic status was measured using the asset registry and poverty assessment, depression was measured using the patient health questionnaire and anxiety using perinatal anxiety screening scale. It involved both descriptive and inferential statistical methods. In the descriptive statistics, there were frequency tables that summarized data. For inferential statistics, the Pearson Chi Square was used to test the significance of the hypotheses 1, 2 and 3. Collected data was analysed using an IBM Statistical Package for Social Science (SPSS-24) used to find the level significance of the hypothesis. Results reported no significant association between social economic status and depression among expecting fathers (x2=8.847, df = 4, P>0.065) and no significant association was found between social economic status and anxiety (x2=4.417, df = 4, P>0.352) and no significant association was found between anxiety and depression (x2=3.521, df = 1 P>0.061). In conclusion, the study results showed that there is no significant association between social economic status, anxiety and depression. Therefore, factors which lead to depression, social economic status and anxiety need to be investigated for example employment, age, education background, social support, illiteracy, culture among others which need to be studied about. | en_US |
