INRODUCTION

The growing misuse of antibiotics and the escalating threat of antibiotic resistance in the Philippines pose significant public health concerns. While various Knowledge, Attitudes and Practices (KAP) questionnaires on personal antibiotic use have been employed in local studies, none have been fully validated and a standardized, culturally appropriate tool remains lacking.

This study aims to develop a Filipino-translated and culturally adapted KAP questionnaire on personal antibiotic use (KAPQ-PAU-FIL) and evaluate its validity and reliability.

The research consisted of two phases. The first phase is the translation and cross-cultural adaptation of the original questionnaire in collaboration with the UST Sentro sa Salin at Araling Salin. The second phase is the validity and reliability testing of the KAPQ-PAU-FIL using a sample of 176 Filipino adults. This included assessment of its face validity, content validity, construct validity, internal consistency, test-retest reliability and equivalent forms reliability.

Most items were translated without difficulty, though four items were modified to better fit the linguistic and cultural context. The KAPQ-PAU-FIL demonstrates strong psychometric properties, with face validity (SFVI/Ave = 0.99), content validity (SCVI/Ave = 0.99), construct validity (CFI = 0.92, RMSEA = 0.06, SRMR = 0.04; FL = 0.60-0.85; ITC = 0.58-0.71), test-retest reliability (ICC = 0.83), internal consistency (α = 0.929) and equivalent forms reliability (p>0.05; κ = 0.62-0.74).

The KAPQ-PAU-FIL is the first ever, Filipino-translated, culturally adapted questionnaire designed to assess KAPQ-PAU-FIL, demonstrating strong validity and reliability to support public health programs against antibiotic misuse.

Human ; Humans ; Humanities ; Health ; Forecasting ; Algorithms

BACKGROUND

Artificial Intelligence (AI) is increasingly transforming various fields, including healthcare. In occupational therapy (OT), Generative AI (GenAI) holds promise for enhancing clinical practice and patient outcomes. However, its successful integration depends not only on technological advancements but also on the perceptions, acceptance, and experiences of clinicians. Despite global interest, limited research exists on the perspectives of OT practitioners in the Philippines.

A qualitative study will be conducted with a theoretical sample of 15 OT clinicians actively working across Metro Manila who are familiar with AI, excluding those in academic roles. The Technology Acceptance Model (TAM) will be used as a guiding framework to understand OT clinicians' attitudes towards the usage of GenAI. After a successful pilot test, one-on-one semi-structured interviews will be
conducted online. Data will be thematically analyzed using NVivo 15, following a coding framework

A qualitative study will be conducted with a theoretical sample of 15 OT clinicians actively working across Metro Manila who are familiar with AI, excluding those in academic roles. The Technology Acceptance Model (TAM) will be used as a guiding framework to understand OT clinicians' attitudes towards the usage of GenAI. After a successful pilot test, one-on-one semi-structured interviews will be
conducted online. Data will be thematically analyzed using NVivo 15, following a coding framework

The study is expected to provide insights into the familiarity, experiences, attitudes, and intentions of OT clinicians in Metro Manila regarding AI use in clinical practice. Findings may identify perceived benefits, concerns, ethical and practical considerations, and factors influencing the adoption of AI, highlighting opportunities and barriers for its responsible integration into OT practice.

Human ; Abstracting And Indexing As Topic ; Health ; Research ; Science

BACKGROUND

The COVID-19 pandemic brought insurmountable changes, leading to work demands and resource limitations that placed additional physical and occupational stress.

This study aimed to determine the change in the occurrence and intensity of musculoskeletal discomfort among selected university faculty members. It also determined the association of sociodemographic and anthropometric factors, workplace conditions, and involvement in physical activity with musculoskeletal pain.

This is an analytical cross-sectional study conducted from June 2022 to May 2023 that surveyed university faculty members from Metro Manila and Metro Cebu. Outcome measures include sociodemographic data, anthropometric measures of weight, height, body mass index, workplace conditions, exercise participation, and musculoskeletal discomfort using the Cornell Musculoskeletal Discomfort Questionnaire.

Data from 120 participants, mostly female, with an average BMI of 27.78 ± 12.09 kg/m2 and 11.82 ± 10.39 years of teaching experience revealed increased computer usage and reduced teaching hours during the Pandemic lockdown. There was also prevalent musculoskeletal discomfort (MSD), particularly in the neck, shoulder, and upper back. Factors associated with increased MSD were female gender, longer computer use, and pre pandemic MSD history.

This study underscores the significance of addressing ergonomic factors and work conditions to mitigate MSD risks among educators during challenging situations.

Databases, Bibliographic ; Evidence-based Practice ; Health Services Needs And Demand

BACKGROUND

Heart rate variability (HRV) is a common tool for assessing autonomic nervous system activity and monitoring training load in athletes. However, limited research has explored how HRV responds to different forms of resistance training, particularly in high-intensity intermittent sports like basketball and football.

This study aims to compare the acute HRV responses between neuromuscular and metabolic training in collegiate athletes involved in high-intensity intermittent sports.

A comparative cross-sectional study with a quasi-experimental crossover design will be employed.

Collegiate athletes will be randomly assigned to undergo both neuromuscular and metabolic training sessions with a one-week wash-out period in between. HRV data will be recorded using the Polar H10 chest strap during each session.

Descriptive statistics will summarize salient participant characteristics and HRV measurements. Inferential analysis will use paired t-tests or Wilcoxon signed-rank tests based on normality, assessed via the Kolmogorov-Smirnov test. All statistical analyses will be conducted using the IBM SPSS (ver.25) with a confidence interval set. at 95% and a critical α equal to 0.05.

Neuromuscular training is expected to elicit higher low-frequency (LF) power and an increased LF/HF ratio, reflecting greater sympathetic activation, while metabolic training is expected to show lower LF power and a decreased LF/HF ratio, indicating a more balanced autonomic response. These findings will offer insights into the differential autonomic impacts of these training modalities.

BACKGROUND

Recovery is essential for high-intensity intermittent sports athletes to achieve optimal performance. Heart rate variability (HRV) serves as a marker of the autonomic nervous system, which also measures the parasympathetic regulation that facilitates recovery. Neurofeedback (NBF) intervention, combined with deep breathing and mental imagery, presented positive results in facilitating parasympathetic reactivation. However, limited studies exist in investigating the influence of the NBF intervention on HRV parameters and recovery, specifically in high-intensity intermittent sports athletes.

This pilot study aims to investigate the effects and influence of neurobiofeedback intervention on recovery via the use of HRV of UAAP Collegiate Basketball and Football Athletes.

The research will be done with a Quasi-experimental onegroup pretest-posttest study design.

Participants will undergo a neurobiofeedback intervention following neuromuscular and metabolic training. Data is collected with a Polar H10 HRM Chest Strap connected to an Elite HRV monitoring application and will be analyzed by Kubios HRV software.

Descriptive statistics will be computed for participant characteristics. Kolmogorov-Smirnov test (p >0.05) will assess normality. Two-way repeated-measures ANOVAs will examine NBF effects across exercise types, with Bonferroni-corrected pairwise comparisons and trend analysis for the main effects and non-significant but clinically relevant patterns. All analyses will be done using SPSS v25.

It is expected that the neurobiofeedback intervention will have an effect and influence by eliciting a lower LF/HF ratio and SD1/SD2, suggesting a facilitated reactivation of the parasympathetic nervous system, promoting recovery after undergoing neuromuscular or metabolic training.

Objective: Our study aims to establish interrater reliability in performing the step-by-step procedure of selected pain provocation tests for hamstrings and special tests for lower extremity musculoskeletal injuries. Study Design: An interrater reliability study Setting: University of Santo Tomas - Sports Science Laboratory Participants: Ten healthy adults (five females, five males; age = 22.2 ± 0.42) from the university community. Main outcome measures: Interrater reliability of performing step-by-step procedures for selected pain provocation tests for hamstrings (painful resisted knee flexion 90°, painful resisted knee flexion 30°, active slump test, Puranen-Orava Test, bent knee stretch) and special tests for lower extremity musculoskeletal injuries (Lachman’s test, McMurray’s test, posterior drawer test, valgus, and varus stress test). Results: Fleiss kappa showed perfect agreement (κ = 1.00) for all test procedures except for Lachman’s test procedure 1 (κ= -0.11 [95% CI, -0.36 to 0.14]), active slump test procedure 4 (κ= -0.03 [95% CI, -0.28 to 0.23]), active slump test procedure 5 (κ= -0.11 [95% CI, -0.28 to 0.23]), and active slump test procedure 6 (κ= -0.05 [95% CI, -0.31 to 0.20]), which resulted in negative agreements. Conclusions The researcher developed protocols for each special and provocative test were consistent in measuring the intended procedures, and the raters were generally consistent with their ability to measure these tests.

A colleague asked me whether the Philippine Journal of Allied Health Sciences permits the use of Artificial Intelligence (AI) among the manuscripts that we review. The default answer is general prohibition. In fact, previously, PJAHS made a stand forbidding AI (i.e., ChatGPT) as an author of the articles we handle and publish.1 Since then, other Generative AI (Gen-AI) has been proliferated, further challenging the status quo on the use of Gen-AI in research and how publishing science approaches this issue.