Civil Service Council

Aims To estimate the current burden of seven major noncommunicable diseases on direct medical costs, absenteeism, and presenteeism in the six countries in the Gulf Cooperation Council: Bahrain, Kuwait, Oman, Qatar, Saudi Arabia, and the United Arab Emirates. Materials and methods We used data from pre-existing datasets and the literature. We identified seven major noncommunicable diseases for which data were available: coronary heart disease, stroke, type-2 diabetes mellitus, breast cancer, colon cancer, chronic obstructive pulmonary disease, and asthma. We estimated the per unit cost (the annual cost of treating each illness for one person) of each disease, multiplied per unit cost by disease prevalence counts to generate disease-specific costs, and then summed across diseases. We calculated the cost of absenteeism and presenteeism by multiplying the gross domestic product per person in the labor force by the loss in productivity from each disease due to absenteeism and presenteeism, respectively, and the prevalence in the labor force of each disease. Results We estimate that the direct medical costs of seven major noncommunicable diseases in Gulf Cooperation Council countries are $16.7 billion (2019 International $), equal to 0.6% of gross domestic product. We estimate that absenteeism and presenteeism due to these seven noncommunicable diseases cost 0.5 and 2.2% of gross domestic product, respectively. Limitations Our study does not capture all noncommunicable diseases and does not capture all types of indirect costs. Our cost estimates are particularly sensitive to our assumptions regarding type-2 diabetes mellitus. Conclusion The economic burden of noncommunicable diseases in Gulf Cooperation Council countries is substantial, suggesting that successful preventive interventions have the potential to improve both population health and reduce costs. Further research is needed to capture a broader array of noncommunicable diseases and to develop more precise estimates.

This paper aims to examine the absorptive capacity of Kuwait’s economy over the period (1970-2010). The paper will expand on the analytical framework to estimate the absorptive capacity of the Kuwaiti economy developed previously by the main author. The absorptive capacity of the Kuwaiti economy has been increasing steadily over the years. Domestic absorption depicted a slow growth pattern during the period 1970-2000. However, it has accelerated significantly over the last decade rising by almost three fold from $29.1 bil in 2001 to $82.2 bil in 2010. However, the constant positive resource balance and the excess of foreign exchange earnings indicate the limitations of the economy absorptive capacity. The paper highlights the main constraints that limit the ability of the Kuwaiti economy to absorb resources and provide few policy recommendations that should help in increasing the absorptive capacity in long run.

Background: The controversy over the relationship between symptoms of anxiety and depression is an enduring issue. Various models have been proposed to explain this relationship. We explored the following research questions. First, using exploratory factor analysis (EFA), will the symptoms that define anxiety and depression (as in the Hopkins Symptom Checklist 25, HSCL-25) appear together in 1 factor, or are they separable into the hypothesized dimensions of the disorders? Second, using confirmatory factor analysis, how will the structural integrity of the resulting factors compare with those of the various models that have been proposed to explain the relationship between the symptoms of anxiety and depression? This issue has not been investigated in an Arab setting. Method: Participants (n = 624) were Kuwaiti national college students, who completed the HSCL-25 in class. EFA was done by principal axis factoring. Seven models were generated for comparison in confirmatory factor analysis, using 8 ‘fit’ indices in Analysis of Moment Structures, version 16. Results: The 5 factors from EFA were similar in construct to the subscales of the Mood and Anxiety Symptom Questionnaire, on which the tripartite model of anxiety and depression was validated (‘core anxiety’, ‘core depression’, ‘general distress mixed’, ‘general distress anxiety’, ‘general distress depression’). The hierarchical bifactor model and the dimensional model characterized by the correlation of these factors were best at meeting the fit indices, followed by the correlated 2-factor anxiety/depression model. In line with theory, the correlation between the specific anxiety/depression factors was lower than that between each of them and the general distress mixed factor; and there was no significant gender difference in the summed score for core depression. Conclusion: The findings support the impression that, although the core symptoms of anxiety are separable from the core symptoms of depression, there is an overlapping set of symptoms which contribute to the experience of comorbidity. The relationship between symptoms of anxiety and depression probably has dimensional and hierarchical elements. The findings broaden the evidence base of the cross-cultural validity of the tripartite model.