Selected article for: "food isolation quarantine and isolation quarantine"
Author: Folayan, Morenike Oluwatoyin; Ibigbami, Olanrewaju; Brown, Brandon; El Tantawi, Maha; Uzochukwu, Benjamin; Ezechi, Oliver C.; Aly, Nourhan M.; Abeldaño, Giuliana Florencia; Ara, Eshrat; Ayanore, Martin Amogre; Ayoola, Oluwagbemiga O.; Osamika, Bamidele Emmanuel; Ellakany, Passent; Gaffar, Balgis; Idigbe, Ifeoma; Ishabiyi, Anthonia Omotola; Jafer, Mohammed; Khan, Abeedha Tu-Allah; Khalid, Zumama; Lawal, Folake Barakat; Lusher, Joanne; Nzimande, Ntombifuthi P.; Popoola, Bamidele Olubukola; Quadri, Mir Faeq Ali; Rashwan, Maher; Roque, Mark; Shamala, Anas; Al-Tammemi, Ala’a B.; Yousaf, Muhammad Abrar; Abeldaño Zuñiga, Roberto Ariel; Okeibunor, Joseph Chukwudi; Nguyen, Annie Lu
Title: Differences in COVID-19 Preventive Behavior and Food Insecurity by HIV Status in Nigeria
  • Cord-id: jygrysal
  • Document date: 2021_8_13
    • ID: jygrysal
    Snippet: The aim of the study was to assess if there were significant differences in the adoption of COVID-19 risk preventive behaviors and experience of food insecurity by people living with and without HIV in Nigeria. This was a cross-sectional study that recruited a convenience sample of 4471 (20.5% HIV positive) adults in Nigeria. Binary logistic regression analysis was conducted to test the associations between the explanatory variable (HIV positive and non-positive status) and the outcome variables
    Document: The aim of the study was to assess if there were significant differences in the adoption of COVID-19 risk preventive behaviors and experience of food insecurity by people living with and without HIV in Nigeria. This was a cross-sectional study that recruited a convenience sample of 4471 (20.5% HIV positive) adults in Nigeria. Binary logistic regression analysis was conducted to test the associations between the explanatory variable (HIV positive and non-positive status) and the outcome variables—COVID-19 related behavior changes (physical distancing, isolation/quarantine, working remotely) and food insecurity (hungry but did not eat, cut the size of meals/skip meals) controlling for age, sex at birth, COVID-19 status, and medical status of respondents. Significantly fewer people living with HIV (PLWH) reported a positive COVID-19 test result; and had lower odds of practicing COVID-19 risk preventive behaviors. In comparison with those living without HIV, PLWH had higher odds of cutting meal sizes as a food security measure (AOR: 3.18; 95% CI 2.60–3.88) and lower odds of being hungry and not eating (AOR: 0.24; 95% CI 0.20–0.30). In conclusion, associations between HIV status, COVID-19 preventive behaviors and food security are highly complex and warrant further in-depth to unravel the incongruities identified.

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