Jibrin Sammani Usman

ABSTRACT Objectives: Patients with stroke are faced with gait, balance, and fall difficulties which could impact on their community reintegration. In Nigeria, community reintegration after stroke has been understudied. The objective of this study was to evaluate the predictors of community reintegration in adult patients with stroke. Materials and Methods: Participants were 91 adult patients with stroke. Gait variables, balance self-efficacy, community balance/mobility, and fall self-efficacy were assessed using Rivermead Mobility Index, Activities-specific Balance Confidence Scale, Community Balance and Mobility Scale, and Falls Efficacy Scale-International respectively. Reintegration to Normal Living Index was used to assess satisfaction with community reintegration. Pearson Product-Moment Correlation Coefficient was used to determine the relationship between community reintegration and gait spatiotemporal variables, balance performance, and risk of fall. Multiple regression analysis was used to determine predictors of community reintegration (P ≤ 0.05). Results: There was significant positive relationship between community reintegration and cadence (r = 0.250, P = 0.017), functional mobility (r = 0.503, P = 0.001), balance self-efficacy (r = 0.608, P = 0.001), community balance/mobility (r = 0.586, P = 0.001), and duration of stroke (r = 0.220, P = 0.036). Stride time (r = −0.282, P = 0.073) and fall self-efficacy (r = 0.566, P = 0.001) were negatively correlated with community reintegration. Duration of stroke, balance self-efficacy, community balance/mobility, and fall self-efficacy (52.7% of the variance) were the significant predictors of community reintegration. Conclusion: Community reintegration is influenced by cadence, functional mobility, balance self-efficacy, community balance/mobility, and duration of stroke. Hence, improving balance and mobility during rehabilitation is important in enhancing community reintegration in patients with stroke.

Introduction: the prevalence of hypertension in Nigeria is high, with a considerable proportion of it being undiagnosed. Nevertheless, early identification of influencing variables for hypertension in different population groups is important for several reasons. This study aimed to determine the prevalence and correlates of undiagnosed hypertension among staff of a university community in Nigeria. Methods: a purposive sample of 281 staff of Bauchi State University, Gadau, Nigeria, fulfilled the inclusion criteria and were enrolled in this cross-sectional study. Demographics, blood pressure, height, weight, socioeconomic status and physical activity were measured. Diagnosis of hypertension was defined based on a systolic and diastolic blood pressure of ≥140 mmHg and ≥90 mmHg, respectively. Data obtained was analysed descriptively, and by means of Chi-square, univariate and multivariate statistics using SPSS v24 software. Results: , respectively. The prevalence rate of undiagnosed hypertension was 27.8%. Normotensives significantly differed from participants with undiagnosed hypertension in most of the clinical and demographic variables (p<0.05). Univariate and multivariate analyses revealed that a positive family history of hypertension had the highest odds of having undiagnosed hypertension (aOR: 0.833, 95%CI: 16.55-432.87, p= 0.000). Next, a higher BMI score (aOR: 0.425, 95%CI: 0.085-0.447, p= 0.000), male gender (aOR: 0.451, 95%CI: 0.141-0.829, p= 0.018), job cadre (aOR: 0.515, 95%CI: 0.073-0.550, p= 0.002) and low physical activity level (aOR: 0.572, 95%CI: 5.296-49.777, p=0.000) were other factors with about 50% odds for having undiagnosed hypertension among the participants. Lastly, smoking status and socioeconomic status of the participants were not significantly associated with undiagnosed hypertension (p>0.05). Conclusion: a high percentage of the studied population have undiagnosed hypertension that is mainly associated with non-modifiable (especially positive family history) and a few modifiable risk factors. These variables can be used for early identification and in designing appropriate preventive strategies.

This study is to assess the level and sources of stress among allied health sciences students of Bayero University Kano. A total of 230 participants were recruited in this cross-sectional survey using stratified sampling technique. The data on level and sources of stress was assessed using medical student stressor questionnaire. Descriptive statistics of means, standard deviations, frequency and percentage were used to summarise the data while inferential statistic of independent t-test and oneway ANOVA were used to test the differences between or among variables. The study revealed that majority of the students of Faculty of Allied Health Science's level of stress ranges from moderate to high level of stress. Academic related stress was the highest stressor and pre-clinical phase of study was found out to be more stressful than clinical phase of study (p < 0.05). No significant difference in the level of male and female student's level and sources of stress was found (p > 0.05). This study found no significant difference in the level of stress among the various departments of Faculty of Allied Health Sciences (p > 0.05). The level of stress among these students ranges from moderate to high level of stress. Academic related stress was the highest stressor among the students. Therefore, curriculum, mode of assessment and other academic related activities for allied health sciences students should be set in the range of their coping limit.

Background: Mental health in medical students is well researched, with physiotherapy students receiving less attention even though psychiatry is a recognised specialty within physiotherapy. Objectives: To assess the prevalence and correlates of depression, anxiety and stress among physiotherapy clinical students. Methods: A descriptive cross-sectional study design was employed on 402 physiotherapy clinical students aged 17-40 years using a convenience sampling method. The data were collected using the self-administered 42-items Depression, Anxiety and Stress scale (DASS) and the data were analysed using a Chi-square test and binary logistic regression analysis. Results: The prevalence of depression, anxiety and stress among these students was 79.9%, 85.6% and 81.6%, respectively. The results indicate that financial status and social life influenced depression by 20.6% (odds ratio [OR] [95%] = 1.206 [1.110, 1.311]) and 36% (OR [95%] = 1.360 [1.050, 1.764]), respectively. Fear of repeating a class influenced anxiety by eight times (OR [95%] = 8.330 [6.643, 10.422]). Fear of repeating a class, financial status and academic performance influenced stress by eight times (OR [95%] = 8.360 [6.677, 10.470]), 17.5% (OR [95%] = 1.175 [1.083, 1.275]) and 18.1% (OR [95%] = 1.181 [1.083, 1.276]), respectively. Conclusion: Our study concluded that there was a high prevalence of depression, anxiety and stress among physiotherapy clinical students. These outcomes suggest that more attention needs to be given to improving physiotherapy clinical students' mental health, which will ultimately improve learning outcomes. Clinical implications: The long-term effects of psychological distress could potentially impact students' academic performance. It may also have long-lasting effects after graduation. Therefore, students who are at risk of developing psychological symptoms are needed to be thoroughly examined and then receive early required interventions.

"Physiotherapy management of COVID-19 in Africa: Ongoing efforts, challenges, and future directions." Physiotherapy Theory and Practice, 36(8), pp. 871–872