PDF(Pubmed)
Abstract：
UNASSIGNED: Substance use is prevalent among people with mental health issues, and patients with psychosis are more likely to use and misuse substances than the general population. Despite extensive research on substance abuse among the general public in Kenya, there is a scarcity of data comparing substance use among people with and without psychosis. This study investigates the association between psychosis and various substances in Kenya.
UNASSIGNED: This study utilized data from the Neuro-GAP Psychosis Case-Control Study between April 2018 and December 2022. The KEMRI-Wellcome Trust Research Programme recruited participants from various sites in Kenya, including Kilifi County, Malindi Sub-County, Port Reitz and Coast General Provincial Hospitals, and Moi Teaching and Referral Hospital, as well as affiliated sites in Webuye, Kapenguria, Kitale, Kapsabet, and Iten Kakamega. The collected data included sociodemographic information, substance use, and clinical diagnosis. We used the summary measures of frequency (percentages) and median (interquartile range) to describe the categorical and continuous data, respectively. We examined the association between categorical variables related to psychosis using the chi-square test. Logistic regression models were used to assess the factors associated with the odds of substance use, considering all relevant sociodemographic variables.
UNASSIGNED: We assessed a total of 4,415 cases and 3,940 controls. Except for alcohol consumption (p-value=0.41), all forms of substance use showed statistically significant differences between the case and control groups. Cases had 16% higher odds of using any substance than controls (aOR: 1.16, 95%CI: 1.05-1.28, p=0.005). Moreover, males were 3.95 times more likely to use any substance than females (aOR:3.95; 95%CI: 3.43-4.56). All the categories of living arrangements were protective against substance use.
UNASSIGNED: The findings of this study suggest that psychotic illnesses are associated with an increased likelihood of using various substances. These findings are consistent with those of previous studies; however, it is crucial to investigate further the potential for reverse causality between psychosis and substance abuse using genetically informed methods.
UNASSIGNED: This study utilized data from the Neuro-GAP Psychosis Case-Control Study between April 2018 and December 2022. The KEMRI-Wellcome Trust Research Programme recruited participants from various sites in Kenya, including Kilifi County, Malindi Sub-County, Port Reitz and Coast General Provincial Hospitals, and Moi Teaching and Referral Hospital, as well as affiliated sites in Webuye, Kapenguria, Kitale, Kapsabet, and Iten Kakamega. The collected data included sociodemographic information, substance use, and clinical diagnosis. We used the summary measures of frequency (percentages) and median (interquartile range) to describe the categorical and continuous data, respectively. We examined the association between categorical variables related to psychosis using the chi-square test. Logistic regression models were used to assess the factors associated with the odds of substance use, considering all relevant sociodemographic variables.
UNASSIGNED: We assessed a total of 4,415 cases and 3,940 controls. Except for alcohol consumption (p-value=0.41), all forms of substance use showed statistically significant differences between the case and control groups. Cases had 16% higher odds of using any substance than controls (aOR: 1.16, 95%CI: 1.05-1.28, p=0.005). Moreover, males were 3.95 times more likely to use any substance than females (aOR:3.95; 95%CI: 3.43-4.56). All the categories of living arrangements were protective against substance use.
UNASSIGNED: The findings of this study suggest that psychotic illnesses are associated with an increased likelihood of using various substances. These findings are consistent with those of previous studies; however, it is crucial to investigate further the potential for reverse causality between psychosis and substance abuse using genetically informed methods.
摘要：
■物质使用在有精神健康问题的人群中很普遍，与普通人群相比，精神病患者更有可能使用和滥用药物。尽管对肯尼亚公众的药物滥用进行了广泛的研究，缺乏比较有和没有精神病的人使用物质的数据。这项研究调查了肯尼亚精神病与各种物质之间的关联。
■本研究利用了2018年4月至2022年12月神经GAP精神病病例对照研究的数据。KEMRI-Wellcome信托研究计划招募了来自肯尼亚各个地点的参与者，包括基利菲县,马林迪县,里茨港和海岸综合省立医院，和Moi教学和转诊医院，以及Webuye的附属网站，Kapenguria,Kitale,Kapsabet,还有ItenKakamega.收集的数据包括社会人口统计信息，物质使用,和临床诊断。我们使用频率（百分比）和中位数（四分位数间距）的汇总度量来描述分类和连续数据，分别。我们使用卡方检验检查了与精神病相关的分类变量之间的关联。Logistic回归模型用于评估与药物使用几率相关的因素，考虑所有相关的社会人口统计学变量。
■我们总共评估了4,415例病例和3,940例对照。除饮酒外（p值=0.41），所有形式的药物使用在病例组和对照组之间显示出统计学上的显著差异.病例使用任何物质的几率比对照组高16%(aOR:1.16,95CI:1.05-1.28,p=0.005)。此外，男性使用任何物质的可能性是女性的3.95倍(aOR:3.95;95CI:3.43-4.56).所有类别的生活安排都可以防止使用药物。
■这项研究的结果表明，精神病与使用各种物质的可能性增加有关。这些发现与以前的研究结果一致；然而，使用基因知情方法进一步调查精神病和药物滥用之间反向因果关系的可能性至关重要.
■本研究利用了2018年4月至2022年12月神经GAP精神病病例对照研究的数据。KEMRI-Wellcome信托研究计划招募了来自肯尼亚各个地点的参与者，包括基利菲县,马林迪县,里茨港和海岸综合省立医院，和Moi教学和转诊医院，以及Webuye的附属网站，Kapenguria,Kitale,Kapsabet,还有ItenKakamega.收集的数据包括社会人口统计信息，物质使用,和临床诊断。我们使用频率（百分比）和中位数（四分位数间距）的汇总度量来描述分类和连续数据，分别。我们使用卡方检验检查了与精神病相关的分类变量之间的关联。Logistic回归模型用于评估与药物使用几率相关的因素，考虑所有相关的社会人口统计学变量。
■我们总共评估了4,415例病例和3,940例对照。除饮酒外（p值=0.41），所有形式的药物使用在病例组和对照组之间显示出统计学上的显著差异.病例使用任何物质的几率比对照组高16%(aOR:1.16,95CI:1.05-1.28,p=0.005)。此外，男性使用任何物质的可能性是女性的3.95倍(aOR:3.95;95CI:3.43-4.56).所有类别的生活安排都可以防止使用药物。
■这项研究的结果表明，精神病与使用各种物质的可能性增加有关。这些发现与以前的研究结果一致；然而，使用基因知情方法进一步调查精神病和药物滥用之间反向因果关系的可能性至关重要.
