Objective: To determine the vaccination refusal rate, associated factors and perceptions of parents who refused routine immunization for their children using the World Health Organization (WHO) SAGE Working Group on Vaccine Hesitancy Survey Tool.
Materials And Methods: A cross-sectional survey was conducted using multi-stage cluster sampling in Bannu District, Khyber Pakhtunkhwa Province, Pakistan from March 2019 to July 2019. A WHO validated questionaire was used. The outcome variable was parental refusal of routine immunization of their children. Logistic regression was performed for associations, and multi-regression was applied to identify any confounders.
Results: Of 610 parents, 170 (27.9%) refused vaccination of their children. Of these, the majority of mothers had no education [n = 145 (85.3%); p = 0.03], and mothers were less likely to own a mobile phone than fathers [24 (14.1%) vs 152 (89.4%); p ≤ 0.001]. The vaccination refusal rate was higher in parents with food security [n = 88 (51.8%)] compared with parents with minimal food insecurity [n = 62 (36.5%)] and high food insecurity [20 (11.8%); p ≤ 0.05)]. On multi-variate logistic regression, fathers who were employed [adjusted odds ratio (OR) 0.59, 95% confidence interval (CI) 0.37-0.94; p = 0.02] and had a high level of education (adjusted OR 0.21, 95% CI 0.08-0.50; p ≤ 0.001) were less likely to refuse vaccination of their children. Parents with high food insecurity were more likely to refuse vaccination of their children (adjusted OR 2.2, 95% CI 1.0-0.50; p = 0.04) compared with parents with minimal food insecurity (adjusted OR 1.6, 95% CI 1.0-2.5; p = 0.02).
Conclusion: The vaccination refusal rate was very high among parents, and this was associated with inability to read or write, no education, owning a mobile phone, unemployment and food security.
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http://dx.doi.org/10.1016/j.ijid.2020.12.029 | DOI Listing |
Contracept Reprod Med
January 2025
Department of Health Sciences, Global Health Unit, University Medical Center Groningen, Groningen, The Netherlands.
Background: The World Health Organization (WHO) recommends an interval of at least 24 months from the date of a live birth to the conception of the next pregnancy in order to reduce the risk of adverse maternal, perinatal, and infant outcomes. There is limited data about the implementation of this recommendation and its contributing factors in low-land ecologies in Oromia, which is the biggest regional state in Ethiopia.
Objective: To assess the inter-pregnancy interval and determine associated factors among parous women in selected low-land districts of Arsi and East Shoa Zone.
BMC Public Health
December 2024
Finnish Institute of Occupational Health, TYÖTERVEYSLAITOS, PL 18, Helsinki, 00032, Finland.
Background: The COVID-19 pandemic was a significant health risk and resulted in increased sickness absence during the pandemic. This study examines whether a history of COVID-19 infection is associated with a higher risk of subsequent sickness absence.
Methods: In this prospective cohort study, 32,124 public sector employees responded to a survey on COVID-19 infection and lifestyle factors in 2020 and were linked to sickness absence records before (2019) and after (2021-2022) the survey.
PLoS One
December 2024
Study Center in Emergency Medicine, Hôpital du Sacré-Coeur de Montréal (CIUSSS du Nord-de-l'Île de-Montréal), Montréal, Québec, Canada.
Introduction: Recent evidence has shown that vitamin C has analgesic and opioid sparing properties in immediate postoperative context. However, this has never been studied for acute musculoskeletal (MSK) emergency department (ED) injuries. The aim of this pilot study is to evaluate the feasibility of conducting a randomized placebo-controlled study to determine the opioid sparing and analgesic effect of vitamin C compared to placebo, in acute MSK injured ED patients.
View Article and Find Full Text PDFSci Rep
December 2024
School of Naval Architecture and Ocean Engineering, Huazhong University of Science and Technology, Wuhan, 430074, China.
With the advancement of artificial intelligence technology, unmanned boats utilizing deep learning models have shown significant potential in water surface garbage classification. This study employs Convolutional Neural Network (CNN) to extract features of water surface floating objects and constructs the VGG16-15 model based on the VGG-16 architecture, capable of identifying 15 common types of water surface floatables. A garbage classification dataset was curated to obtain 5707 images belonging to 15 categories, which were then split into training and validation sets in a 4:1 ratio.
View Article and Find Full Text PDFFront Hum Neurosci
December 2024
Education Center for Doctors in Remote Islands and Rural Areas, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan.
Introduction: School refusal is one of the serious problems with children's mental health, and various studies have examined its prevalence and factors among students. Although many studies suggested that anxiety and depression are deeply associated with school refusal, there is little agreement as to effective interventions. The purpose of this paper is to evaluate the efficacy and safety of mindfulness yoga intervention in children with school refusal.
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