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Global Health Econ Sustain                                     COVID-19: Mental health in South-South Nigeria



            1. Introduction                                    determinants of selected mental health problems in the
                                                               southern part of Nigeria.
            There is a valid apprehension that an outbreak of a highly
            infectious coronavirus such as COVID-19 could result in a   2. Methods
            psychological dilemma, especially in a country like Nigeria,
            with a high number of reported cases (Dong & Bouey,   2.1. Research design
            2020).  The high  level  of unpredictability,  uncertainty,   The  research  employed  a  cross-sectional  descriptive
            misinformation, and severity of the COVID-19 disease   approach, involving the administration of questionnaires
            contributed to psychological trauma during the pandemic   to respondents aged between 18 and 60 years who resided
            (Zandifar & Badrfam, 2020). According to a report   in selected study sites during the COVID-19 pandemic.
            by psychiatrists cited in the Guardian, approximately   The South-South part of Nigeria comprises six states: Akwa
            25% of Nigerians suffer from at least one type of   Ibom, Cross River, Rivers, Bayelsa, Delta, and Edo. Three
            diagnosable mental health problem ranging from minor   states were selected using a purposive sampling technique
            conditions such as generalized anxiety disorder (GAD)   to represent the South-South part. The selection was based
            to major conditions such as depression or schizophrenia   on the following criteria: transportation accessibility,
            (Chukwuma & Ijeoma, 2022). However, a majority of those   landmass, security, and safety concerns. Consequently,
            affected by mental health problems either do not recognize   Akwa Ibom, Cross River, and Rivers states were selected as
            or acknowledge them due to religious and cultural beliefs.   the focal points of the study.
            The COVID-19 lockdown restrictions provided several
            factors that influence the presentation of mental health   2.2. Sample size
            issues. These factors are poverty, unemployment due to   Adults aged between 18 and 60 years residing in Akwa Ibom,
            lockdown restrictions, lack of access to basic amenities   Cross River, and Rivers during the outbreak of COVID-19
            due to restricted movement, and the influence of cultural   comprised the study population. The research sample size
            and religious views on COVID-19, often shaped by   was estimated using the following methodology outlined
            misinformation and illiteracy, among others.       by Lwanga & Lemeshow (1991), resulting in an estimated
              The South-South part of Nigeria is plagued with high   sample of 1281 respondents (n =  1281), representing
            rates of unemployment, a situation made worse by the   50% of the study population with 5% precision at a 95%
            total lockdown restrictions enforced by the Nigerian   confidence interval.
            government. The lack of targeted interventions addressing
            the  mental  health of  the  residents,  coupled  with  the   2.3. Selection criteria
            economic instability, social isolation, and health anxiety   The selection criteria for participants in this study comprised
            experienced by the residents during the lockdown, was   both inclusion and exclusion criteria. Inclusion criteria
            what motivated the researchers to conduct this study. The   include respondents who resided at the selected study
            study aimed to identify the sociodemographic factors   sites for the past 12 months (January – December 2020),
            influencing mental health problems among adults in   were aged between 18 and 60 years, and provided consent
            South-South Nigeria during the COVID-19 lockdown   for participation. These criteria were essential for the
            restrictions. Sociodemographic factors in the study were   researchers to measure the impact of COVID-19 on living
            gender, age, marital status, level of education, residence   and work routines. On the other hand, the exclusion
            status, occupation, family size, and monthly income.  criteria encompassed respondents below 18 years of age or
              The research hypothesis (H1) posited that there is a   above 60 years of age, individuals who did not reside at the
            significant relationship between sociodemographic factors   study site for 12 months (January – December 2020), and
            and selected mental health problems among adults in   those who declined to provide consent for participation.
            South-South Nigeria during the lockdown. Conversely, the   2.4. Study variables
            null hypothesis (H0) suggested no significant relationship
            between sociodemographic factors and selected mental   The dependent variables of the study were the mental
            health problems among adults in the same period. The   health problems of interest, namely GAD, anger disorder,
            selected mental health problems in this study were adopted   and depression disorder. Independent variables included
            from a similar investigation conducted in Uganda during   sociodemographic factors such as gender, age, marital
            the COVID-19 lockdown restrictions (Archibong  et al.,   status, education level, residence status, occupation, family
            2021). Given the limited research on the psychological   size, and monthly income. These variables were factored
            impact of COVID-19 on residents in Nigeria, this study   into this present study to test for relationships with the
            is imperative as it seeks to address the sociodemographic   outcomes. The Chi-square test was employed to determine


            Volume 2 Issue 2 (2024)                         2                        https://doi.org/10.36922/ghes.2551
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