Materials and methods: A cross-sectional hospital-based study was carried out on 300 participants. Blood samples were obtained. Thick and thin blood films were prepared and viewed using the standard parasitological technique of microscopy. Moreover, data on sociodemographic and environmental variables were obtained using a pre-tested standard questionnaire.
Results: Of the 300 participants examined, a total of 165 (55.0%) were found positive for Plasmodium falciparum with a mean (S.D) parasite density of 1814.70 (1829.117) parasite/μL of blood. The prevalence and parasite density of malaria infection vary significantly (P < 0.05) with age group. Children <5 years old were more likely to have malaria infection and high parasite densities than adults (p < 0.05). Similarly, in relation to gender, males significantly (P < 0.05) had a higher prevalence (60.2%) and mean (S.D) parasite density of malaria infection [2157.73 (1659.570) parasite/μL of blood] compared to females. Additionally, those without formal education had the highest prevalence (73.0%) and mean (S.D) parasite density of infection [2626.96 (2442.195) parasite/μL of blood]. The bivariate logistic regression analysis shows that age group 6-10 (Crude Odds Ratio, COR 0.066, 95% CI: 0.007-0.635), presence of streams/rivers (COR 0.225, 95% CI: 0.103-0.492), distance from streams/rivers within ≤1 km (COR 0.283, 95% CI: 0.122-0.654) and travel to rural area (COR 4.689, 95% CI: 2.430-9.049) were the significant risk factors.
Conclusions: Malaria infection is prevalent in the study area and was greatly influenced by traveling activities from the rural areas to urban centers and vice versa. Multifaceted and integrated control strategy should be adopted. Health education on mosquito prevention and chemoprophylaxis before and during travel to rural areas are essential.
METHODS: Data was collected from 380 randomly selected antenatal care attendees of a hospital in Maiduguri, using structured questionnaires. This data was then used to test the Information-Motivation-Behavioural Skills (IMB) model, for model fit, and interrelations among the constructs, using the structural equation modelling analysis with Smart-PLS.
RESULTS: Information and motivation were significantly related to behavioural skills (r = 0.29, p
Methods: For quantitative data collection, the random, purposive, and convenient sampling techniques were used and 156 respondents selected from relevant organizations operating in Bauchi state, Nigeria, and 15 respondents for Key Informant Interviews (KIIs). A Semi-structured questionnaire was the study instrument, and consent from the participants as well as ethical clearances were duly obtained.
Results: The study revealed that 87.8% of the respondents indicate un-friendly operational policies, while 88.9% of them identified lack of resources (human, money and machineries) as impediments to project sustainability. Also, 74.3% of the respondents said partnership among key stakeholders and 86.6% of them affirmed that community participation and use of available (local) resources ensure health project sustainability. The study further revealed that CSOs fund health projects, support government efforts and encourage development of project sustainability road map in the state.
Conclusion: Hence, health project sustainability plan should form part of a project right from inception through the donor period and thereafter. In addition to the above, internal income framework, community involvement, enabling policies and partnership among stakeholders, especially with the host government, should always guide project implementation, because without these in place, project sustainability will remain a mirage.
METHODS: This cross-sectional study recruited first-year undergraduate students in the University of Uyo, Nigeria by multistage sampling. The International Physical Activity Questionnaire (IPAQ) short-version was used to assess physical activity in the study. Factors were categorised according to the Socio-Ecological Model which consisted of individual, social environment, physical environment and policy level. Data was analysed using the IBM SPSS statistical software, version 22. Simple and multiple logistic regression were used to determine the predictors of sufficient physical activity.
RESULTS: A total of 342 respondents completed the study questionnaire. Majority of the respondents (93.6%) reported sufficient physical activity at 7-day recall. Multivariate analysis revealed that respondents belonging to the Ibibio ethnic group were about four times more likely to be sufficiently active compared to those who belonged to the other ethnic groups (AOR = 3.725, 95% CI = 1.383 to 10.032). Also, participants who had a normal weight were about four times more likely to be physically active compared to those who were underweight (AOR = 4.268, 95% CI = 1.323 to 13.772).
CONCLUSION: This study concluded that there was sufficient physical activity levels among respondents. It is suggested that emphasis be given to implementing interventions aimed at sustaining sufficient levels of physical activity among students.