BMC Public Health (Sep 2024)

Prevalence of Methamphetamine (Mkpurummiri) use in south east Nigeria: a community-based cross-sectional study

  • Nkiru Edith Obande-Ogbuinya,
  • Christian Okechukwu Aleke,
  • Lois Nnenna Omaka-Amari,
  • Uba Mercy Benedette Ifeoma,
  • Stanley Chijioke Anyigor-Ogah,
  • Emeka Usman Mong,
  • Eunice Nwafor Afoke,
  • Theresa Nwamaka Nnaji,
  • Onyechi Nwankwo,
  • Ifeyinwa Maureen Okeke,
  • Anthonia Ogechukwu Nnubia,
  • Uzochukwu Chimdindu Ibe,
  • Raphael E. Ochiaka,
  • Patricia C. Ngwakwe,
  • OkochaYusuf Item,
  • Kenneth Adibe Nwafor,
  • Idakari Chinedu Nweke,
  • Arinze Francis Obasi

DOI
https://doi.org/10.1186/s12889-024-19921-9
Journal volume & issue
Vol. 24, no. 1
pp. 1 – 14

Abstract

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Abstract Background Methamphetamine (MA) (Mkpurummiri) is seen as the most common, accessible and new drug of use/abuse in south east Nigeria. Despite the overwhelming evidence of the dire consequences of this drug to the users, there is lack of empirical research to determine its prevalence in this area where use is assumed to be common. This study aimed to determine the prevalence of MA use, characteristics of the users and the control measures. Methods A descriptive cross-sectional survey research design was conducted from May through November 2023 among adolescents/adults at the age bracket of 15-64 years in the five states of south east, Nigeria. Three hundred and seventy-one (371) respondents were recruited using purposive/convenience sampling methods. A semi structured questionnaire was the instrument used. Data were analyzed using percentage, bivariate and multivariate logistics regression statistics. The Prevalence of MA was determined using percentages whereas the factors that are associated with MA use were expressed using multivariate logistics regression statistics AORs and 95%CIs. The level of significance was set at P < 0.05. Results The prevalence of Methamphetamine (Mkpurummiri) was (21.8%). The most common reason for MA use was depression (86.5%), the most common route of administration was inhalation (64.9%). The most common characteristic of MA (Mkpurummiri) user was aggressive/violent behaviour (94.1%).The control measures were self-control (92.2%), parental monitoring (85.7%), drug education (83.1%) and legal control (80.8%). The multivariate logistics regression statistics AOR shows that off-campus were 3 times (AOR = 0.298; CI = 0.12–0.73 P = 0.008), family house 4 times (AOR = 0.241; CI = 0.09–0.65; P = 0.005 $$\le 0.05$$ ≤ 0.05 ) less likely than on-campus to predict MA use. Recently married were 3.25 times (aOR = 3.25; CI = 1.47–7.18), divorced 3.45 times (aOR = 3.45; CI = 1.23–9.58), polygamy 2.3 times (aOR = 2.3; CI = 1.08–4.90; P = 0.031 $$\le 0.05$$ ≤ 0.05 ), tradition 4.44 times (aOR = 4.44; CI = 1.77–11.15; P = 0.001 $$\le 0.05)$$ ≤ 0.05 ) , more likely than others to use MA. Conclusions MA use prevalence was relatively high, and marital status, living arrangements, family type and religion were the predictors. These findings underscore the need for concerted effort among the relevant government agencies, community stakeholders, families, religious bodies and school authorities to designing MA use policy/laws with special focus on adopting the punitive measure used in checking cocaine users. This may help to arrest and prosecute the manufacturers, distributors and users of MA.

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