ABSTRACT
Regression analysis was carried out to examine the association between certain socio-demographic characteristics and substance use among internally displaced persons (IDPs). Using an adapted version of the Drug Use Disorder Identification Test (DUDIT) instrument, cross-sectional survey data were obtained from 520 IDPs living in three camps located in Maiduguri, Borno state of Nigeria. The data were analyzed using Statistical Package for Social Sciences software version 21.0. Specifically, this article provides data about the participants' demographic characteristics, the types of substances they use, reasons for using such substances, and the prevalence of substance use. This dataset can offer valuable multivariate information for future research agendas in similar, or closely related study populations. This cross-sectional dataset is also valuable for policymakers who are seeking ways to intervene in the substance use problem, as well as other associated social vices, affecting the vulnerable population of IDPs.
ABSTRACT
Variations in the rates of involuntary admission (IA) reflect the influence of unexplained contextual variables that are typically too heterogeneous to be included in systematic reviews. This paper attempts to gather and analyze factors unrelated to the patients that have been linked to IA. The articles included in this review were selected by iteratively searching four electronic databases (PubMed, PsychINFO, EMBASE, and Web of Science). A total of 54 studies from 19 different countries and regions, including 14 European countries, the United States, Canada, China, Vietnam, and Taiwan, were selected. The factors were categorized as service-related factors, impactful events, seasonal and temporal factors, mental health legislation, staff factors, and public attitudes. The factors rarely act in isolation but rather interact and reinforce each other, causing a greater influence on IA. This paper explains how these factors present opportunities for robust and sustainable interventions to reduce IAs. The paper also identifies future directions for research, such as examining the effects of economic recessions. Enhancing global reporting standards is essential to validate future research and support further in-depth studies. The complexity of the factors influencing IA and the implicit role of society suggest that resolving it will require social change.
ABSTRACT
Immigrant status, especially a few years post arrival, is a major risk factor for depression in populations that have been adequately studied. While information on depression among Asian migrants, including those from India, China and Philippines, in Canada have been reported in previous studies, there is inadequate information about depression among Nigerian immigrants who make up the largest percentage of African migrants and black population residing in Canada. A cross-sectional study was conducted among 187 Nigerian immigrants in Canada. Participants completed the Patient Health Questionnaire (PHQ-9). Descriptive and multivariate logistic regression analyses were carried out using IBM SPPS. About half (51.7%, n = 91) of the participants screened positive to the PHQ-9. Being female, unmarried, not being at all satisfied with the decision to migrate, and having stayed for more than 10 years in Canada significantly increased the risk of screening positive to depression. More than half of the participants screened positive for depression, suggesting an important mental health concern and the potential need for intervention. This population differed from other immigrant populations from previous studies because the absence of social support, satisfaction with employment status, and perceived discrimination did not significantly predict a positive screen for depression in this study.
