Otiende Mark, Abubakar Amina, Mochamah George, Walumbe David, Nyundo Christopher, Doyle Aoife M, Ross David A, Newton Charles R, Bauni Evasius
Centre for Geographic Medicine (Coast), Kenya Medical Research Institute, Kilifi, Kenya.
INDEPTH (International Network for field sites with continuous Demographic Evaluation of Populations and Their Health in developing countries) , Accra, Ghana.
Wellcome Open Res. 2017 Nov 29;2:113. doi: 10.12688/wellcomeopenres.12620.1. eCollection 2017.
: The lack of reliable, valid and adequately standardized measures of mental illnesses in sub-Saharan Africa is a key challenge for epidemiological studies on mental health. We evaluated the psychometric properties and feasibility of using a computerized version of the Major Depression Inventory (MDI) in an epidemiological study in rural Kenya. : We surveyed 1496 participants aged 13-24 years in Kilifi County, on the Kenyan coast. The MDI was administered using a computer-assisted system, available in three languages. Internal consistency was evaluated using both Cronbach's alpha and the Omega Coefficient. Confirmatory factor analysis was performed to evaluate the factorial structure of the MDI. : Internal consistency using both Cronbach's Alpha (α= 0.83) and the Omega Coefficient (0.82; 95% confidence interval 0.81- 0.83) was above acceptable thresholds. Confirmatory factor analysis indicated a good fit of the data to a unidimensional model of MDI (χ (33, = 1409) = 178.52 < 0.001, TLI = 0.947, CFI = 0.961, and Root Mean Square Error of Approximation, RMSEA = .056), and this was confirmed using Item Response Models (Loevinger's H coefficient 0.38) that proved the MDI was a unidimensional scale. Equivalence evaluation indicated invariance across sex and age groups. In our population, 3.6% of the youth presented with scores suggesting major depression using the ICD-10 scoring algorithm, and 8.7% presented with total scores indicating presence of depression (mild, moderate or severe). Females and older youth were at the highest risk of depression. : The MDI has good psychometric properties. Given its brevity, relative ease of usage and ability to identify at-risk youth, it may be useful for epidemiological studies of depression in Africa. Studies to establish clinical thresholds for depression are recommended. The high prevalence of depressive symptoms suggests that depression may be an important public health problem in this population group.
撒哈拉以南非洲地区缺乏可靠、有效且标准化程度足够的精神疾病测量方法,这是心理健康流行病学研究面临的一项关键挑战。我们在肯尼亚农村地区开展的一项流行病学研究中,评估了计算机化版的重度抑郁量表(MDI)的心理测量特性及可行性。我们对肯尼亚海岸基利菲县1496名年龄在13至24岁之间的参与者进行了调查。MDI通过一个计算机辅助系统进行施测,该系统有三种语言版本。使用克朗巴哈系数(Cronbach's alpha)和欧米伽系数(Omega Coefficient)评估内部一致性。进行验证性因素分析以评估MDI的因子结构。使用克朗巴哈系数(α = 0.83)和欧米伽系数(0.82;95%置信区间0.81 - 0.83)得出的内部一致性高于可接受阈值。验证性因素分析表明数据与MDI的单维模型拟合良好(χ²(33, N = 1409) = 178.52,p < 0.001,TLI = 0.947,CFI = 0.961,近似均方根误差RMSEA = 0.056),并且使用项目反应模型(洛夫林格H系数0.38)得到了证实,该模型证明MDI是一个单维量表。等效性评估表明在性别和年龄组之间具有不变性。在我们的研究人群中,按照国际疾病分类第10版(ICD - 10)评分算法,3.6%的青少年得分表明患有重度抑郁症,8.7%的青少年总分表明存在抑郁(轻度、中度或重度)。女性和年龄较大的青少年患抑郁症的风险最高。MDI具有良好的心理测量特性。鉴于其简短性、相对易用性以及识别高危青少年的能力,它可能对非洲抑郁症的流行病学研究有用。建议开展研究以确定抑郁症的临床阈值。抑郁症状的高患病率表明抑郁症可能是该人群中的一个重要公共卫生问题。