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31,456 Article Results

Correlation between jet lag syndrome and air travel fatigue

10.11591/ijphs.v14i3.25992
Khaerul Amri , Imelda Avia , Azis Fahruji
Long-distance air travel causes travelers to experience travel fatigue. Jet lag syndrome is one of the factors that exacerbate fatigue from air travel. Fatigue can seriously impact travelers with a history of illness. Health emergencies resulting from travel fatigue can even lead to death. A cross-sectional study was conducted to identify the relationship between jet lag syndrome and air travel fatigue. The 117 people who had traveled in the past year had jet lag syndrome and did not meet the exclusion criteria were selected. The questionnaires used the circadian type inventory and the fatigue scale, and validity and reliability were tested. Multiple logistic regression was performed to determine the variables influencing air travel fatigue. The relationship between jet lag syndrome and air travel fatigue was analyzed using Chi-square analysis. Results of the study identified that 53.8% of respondents experienced severe fatigue, and 54.7% experienced severe jet lag syndrome. Jet lag syndrome correlated with air travel fatigue significantly (p = 0.001). Respondents with severe jet lag syndrome experienced severe fatigue. The findings from this study emphasize that addressing jet lag syndrome is necessary to reduce air travel fatigue for overall health.
Volume: 14
Issue: 3
Page: 1532-1539
Publish at: 2025-09-01

Pediatric cataracts: Epidemiological, etiological, and clinical profiles in Morocco

10.11591/ijphs.v14i3.25851
Soukaina Loulidi , Youssef Elbahi , Samia Boussaa , Mohamed Loukid
Cataracts are a prevalent eye disease in children, particularly in the congenital form. Its occurrence is the primary cause of avoidable blindness and visual impairment. Our study aimed to assess the epidemiological characteristics and spatiotemporal distribution of infantile cataracts in children from the Marrakech-Safi region. A retrospective study was carried out in the Mohammed VI University Hospital. Data collection, carried out between March 25, 2024, and April 26, 2024, was based on a review of the medical records of sick children aged between 0 and 15 years and having undergone surgery between 2019 and 2023. The findings revealed a high rate of cataract in boys (64.7%), with congenital cataract predominating (57.6%), followed by traumatic cataract (41.1%). In 2021, 81 cases of cataracts were reported, with 51.5% of cases being bilateral. Cataract development (42.4%) was attributed to postnatal and infantile factors, with the remaining 42.7% having an unknown etiological. The study revealed a significant association between cataract type and factors such as gender, age, residence area, age at onset of cataract, consanguinity, and family history. Efficient, high-quality care can prevent cataract complications. This can be achieved by implementing health strategies targeting all levels of prevention.
Volume: 14
Issue: 3
Page: 1151-1159
Publish at: 2025-09-01

Disease detection on coconut tree using golden jackal optimization algorithm

10.11591/ijra.v14i3.pp407-417
Arun Ramaiah , Muthusamy Shunmugathammal , Hari Krishna Kalidindi , Anish Pon Yamini Kumareson
Millions of people depend on coconut palms for their food and livelihoods, making them one of the most essential crops in tropical countries. However, Diseases may significantly reduce the output of coconut trees and possibly result in their death. To overcome this, a novel golden jackal optimized disease detection in COCOnut tree (GOD-COCO) has been proposed for detecting diseases in coconut trees. First, the input dataset images are pre-processed in pre-processing image rotation, image rescaling, and image resizing, and the enhanced images are gathered. The enhanced images are segmented using the PSP-Net. From the segmented images, the features are extracted using the Dense-Net. Then the features needed are selected using the golden jackal optimization algorithm (GJOA). Finally, the deep belief network (DBN) classifier classifies whether it is normal or abnormal. The experimental analysis of the proposed GOD-COC has been evaluated using the Plant Pathology datasets based on the accuracy, precision, and recall standards. By this, the proposed GOD-COCO achieves an accuracy rate of 99.31% and it achieves an overall accuracy rate of 0.77%, 0.31% and 1.17% by the existing methods such as AIE-CTDDC, DL-WDM, and CLS. Similarly, the proposed GOD-COCO model takes less time, 1.13 milliseconds to detect the disease, than the existing methods, which take 3.04, 2.5, and 2.67 milliseconds, respectively.
Volume: 14
Issue: 3
Page: 407-417
Publish at: 2025-09-01

Meat product consumption among children aged 1–3 years in Baquba City, Iraq

10.11591/ijphs.v14i3.26108
Aqeel Abbas Noaman , Sarmad Qassim Mohammad
The caregiver should prioritize meats in the infant's diet during the last 6 months due to their sources of nutrients and proteins. This study aimed to identify the prevalence of meat product consumption among children aged 1–3 and their preferences based on age and sex. We conducted an analytical cross-sectional study on 810 children aged 1–3 years using a questionnaire. We used the chi-square test, and a p-value < 0.05 was considered significant. The study found that 60.3%, 86.2%, 85.4%, and 59.3% consumed red meat weekly (p ≤ 0.001), fish monthly (p ≤ 0.001), chicken weekly (p ≤ 0.001), and eggs daily (p ≤ 0.001), respectively. The second-year children prefer to consume red meat (44.8%), fish (46.3%), chicken (45.2%), and eggs (44.2%) more frequently than in other years. Males preferred red meat, fish, chicken, and eggs more than females (54.1% vs. 45.9%; 52.7% vs. 47.3%; 54.5% vs. 45.5%, and 54.4% vs. 45.6%), respectively. In conclusion, the consumption of chicken and eggs is more prevalent. In the second year of life, children, particularly boys, consume more meat products due to their own or their parents' preferences. We suggest expanding the scope of this study to include dairy products.
Volume: 14
Issue: 3
Page: 1569-1575
Publish at: 2025-09-01

Physical activity, sleeping pattern, and road accidents among Saudi population in Najran Province during the month of Ramadan

10.11591/ijphs.v14i3.25685
Hatem Mohamed , Ramzi Naim Nasser , Anass M. Abbas , Manar G. Shalabi , Lienda Basheir Eltayeb , Walid Gaafar Hamid Babikr
This study examined the impact of Ramadan fasting on physical activity and sleep patterns among Saudis in Najran, Saudi Arabia. Seventy-three male and female volunteers completed a self-reported questionnaire over five days at Najran University Hospital. Data collected included demographics, physical activity levels, sedentary behaviors, sleep duration, social activities, and mood changes. Results showed that only 29 participants (39.9%) considered themselves physically active, while 44 (60.3%) were sedentary. The mean age of the active group was 41.60±8.21 years. Among females, only 7 (31.8%) were physically active, while 15 (68.2%) were inactive. Factors such as night work, mood changes, and indoor social activities significantly influenced physical activity levels (p<0.005). Regarding sleep, the physically active group had a mean daily sleep duration of 7.43±1.52 hours, while the sedentary group slept an average of 10.20±2.11 hours, showing a statistically significant difference. These findings suggest that Ramadan fasting influences both physical activity and sleep patterns, potentially affecting overall health and well-being.
Volume: 14
Issue: 3
Page: 1515-1523
Publish at: 2025-09-01

Improving mental health, sleep, and decision-making skills through mindfulness practice

10.11591/ijphs.v14i3.25011
Moslima Akter , Lutfun Naher , Oli Ahmed
Most of the previous studies on the efficiency of mindfulness to improve mental health states, and sleep quality, have focused on clinical samples. The present study aimed to examine the impact of mindfulness intervention training on mental health (depression, anxiety), sleep quality, life satisfaction, and decision-making skills in non-clinical sample. Using a non equivalent comparison group design, 52 university students were recruited via convenience sampling technique and randomly distributed into two groups – treatment and comparison groups. The treatment group a 30-hour of mindfulness training over one month. Results showed that mindfulness training significantly reduced depressive symptoms and improved sleep quality and life satisfaction in treatment group, although changes in anxiety and decision-making skills were non-significant. These findings contribute to the mindfulness literature and emphasize the importance of mindfulness practice in enhancing mental health and well-being in non-clinical settings.
Volume: 14
Issue: 3
Page: 1611-1619
Publish at: 2025-09-01

LoRa-enabled remote-controlled surveillance robot for monitoring and navigation in disaster response missions

10.11591/ijra.v14i3.pp311-321
Anita Gehlot , Rajesh Singh , Rahul Mahala , Mahim Raj Gupta , Vivek Kumar Singh
Rescue missions must be conducted within a strict timeframe, and the safety of all rescuers and civilians is prioritized. The proposed system aims to design a remote-operated aerial surveillance robot for disaster-affected areas for search and rescue missions. Real-time video transmission and RS-232 long-range communication enable operators to navigate rough environments and monitor data collected in real-time. This powerful tool ensures the protection of human life while collecting accurate and meaningful data. Cloud storage for data and surveillance strengthens the system, preventing part failure and fostering collaboration among users. This is a significant step towards using Internet of Things systems alongside remote-controlled robots in disaster response. The robot's key contribution to disaster management is identifying the environment, addressing issues of no visibility, complicated terrains, and speed. Its modification and expansion capabilities make it useful in armed surveillance, industrial monitoring, and environmental studies, making it an important innovation for many other fields.
Volume: 14
Issue: 3
Page: 311-321
Publish at: 2025-09-01

How genetic determinism and essentialism relate to health care

10.11591/ijphs.v14i3.25276
Nindiana Choirunisa' , Siti Zubaidah , Hendra Susanto , Chun-Yen Chang
Genetics has become important in various areas of life, especially in healthcare. People can undergo a range of genetic testing to assess their susceptibility to acquiring diseases. Nevertheless, data derived from genetic testing might indicate bias due to genetic determinism and essentialism. This study aimed to provide a comprehensive analysis of the impact of genetic determinism and essentialism on several aspects of healthcare. This study conducted a systematic review approach using the Scopus database and followed the preferred reporting items for systematic reviews and meta analysis (PRISMA) search framework. We initially received 802 publications, then reduced to 49 articles based on inclusion and exclusion criteria, and then content analysis was conducted. Our research showed that determinist bias and genetic essentialism may reduce patient diagnosis, treatment accuracy, and effectiveness. Moreover, biases related to genetic determinism and essentialism may go against healthcare regulations and cause discrimination and other negative clinical outcomes from ethical, social, and legal aspects. To improve this problem, it is essential for laypeople, particularly medical experts, to understand genetic principles related to the development of variances in traits among individuals in a precise and relatable approach.
Volume: 14
Issue: 3
Page: 1499-1514
Publish at: 2025-09-01

Inclusion of children with autism in a mainstreamed school: a case study analysis

10.11591/ijphs.v14i3.25217
Finita Glory Roy , Friggita Johnson
Inclusion of children with autism in mainstream schools is essential for fostering social integration and equitable education; however, significant challenges persist in implementation worldwide. This study investigates inclusion practices for children with autism in a mainstream school, focusing on barriers and enablers in creating an inclusive educational environment. Using a qualitative case study design, data were collected from 16 participants, including one principal, eight teachers, three special educators, and four parents, selected through purposive sampling. Semi-structured interviews, classroom observations, and analysis of school policies and documents provided comprehensive insights, analysed through thematic analysis with triangulation to ensure robustness. Findings revealed critical challenges, such as limited resources, inadequate teacher preparedness, and social stigma, while highlighting effective practices like individualized education plans (IEPs), peer mentoring, and collaborative approaches to IEP development. The study underscores the importance of policy reforms, targeted teacher training, and greater community involvement to support sustainable inclusion. These findings offer actionable recommendations for improving inclusive practices and creating supportive learning environments for children with autism, advancing the broader agenda of inclusive education.
Volume: 14
Issue: 3
Page: 1601-1610
Publish at: 2025-09-01

Physical activity interventions for adolescent suicide ideation and behavior: a rapid review

10.11591/ijphs.v14i3.25128
Richard Peter Bailey , Nadia Samsudin , Francis Ries , Janet Ann Fernandez
Physical inactivity, sedentary behavior, and mental health issues have become significant public health challenges. This review aimed to investigate the relationship between physical activity, sedentary behavior, and the risk of suicidal ideation and behaviors during adolescence. A systematic review was conducted following PRISMA guidelines. Studies were sourced from SPORTDiscus, Psychology & Behavioral Sciences Collection, and Google Scholar. The review included English-language peer reviewed articles published between January 2018 and March 2023, focusing on physical activity, sport, and mental health in adolescents aged 10 to 19. Adolescents with low levels of physical activity or high levels of sedentary behavior were at greater risk of suicidal thoughts compared to their more physically active counterparts. Although moderate-to-vigorous physical activity was not directly associated with self-harm or mental health disorders, the overall mental health benefits of physical activity, especially in the context of socially engaging sports, were evident. Some aspects of these associations warrant further investigation. Physical activity and sport offer cost-effective, widely accepted interventions that have significant potential to reduce the risk of suicidal ideation and behaviors among adolescents. Given the devastating impact of suicide on young people, incorporating physical activity into mental health promotion and intervention strategies is crucial.
Volume: 14
Issue: 3
Page: 1221-1231
Publish at: 2025-09-01

Multi-robot coverage algorithm in complex terrain based on improved bio-inspired neural network

10.11591/ijra.v14i3.pp348-360
Fangfang Zhang , Mengdie Duan , Jianbin Xin , Jinzhu Peng
Biological neural network (BNN) algorithms have become popular in coverage search in recent years. However, its edge activity values are weak, and it is simple to fall into a local optimum at a late stage of coverage. When applied to complex environments, the 3D BNN network structure has high computational and storage complexity. In order to solve the above problems, we propose an algorithm for multi-robot cooperative coverage of complex terrain based on an improved BNN. The algorithm models the complex terrain using a 2.5-dimensional (2.5D) elevation map. Combining the dual-layer BNN network with the 2.5D elevation map, we propose an elevation value priority mechanism. This mechanism lets the robot make elevation-based decisions and prioritizes higher terrain areas. The dual neural network's first layer plans the robot's path in normal mode. The second network layer helps the robot escape the local optimum. Finally, the algorithm's full coverage effect in complex terrains and the speed of covering high terrain are verified by simulations. The experiments show that our algorithm preferentially covers high points of the region and eventually covers 100% of complex terrain. Compared with other algorithms, our algorithm covers more efficiently and takes fewer steps than others. The speed of covering high terrain areas has increased by 34.51%.
Volume: 14
Issue: 3
Page: 348-360
Publish at: 2025-09-01

Factors associated with physical activity time among adolescents in Ho Chi Minh City, Vietnam

10.11591/ijphs.v14i3.25877
Vinh Quang Phung , Vien Truong Nguyen , Ngoc-Trinh Thi Nguyen , Dang Ngoc Tran , Phong Duy Nguyen , Hong Kim Tang
Previous studies on factors associated with physical activity among adolescents in Ho Chi Minh City have lacked a specific framework. This study aimed to assess factors associated with moderate and vigorous physical activity time among Ho Chi Minh City’s adolescents. We used the Health Belief Model to develop a more comprehensive survey. This cross sectional study, conducted from January to May 2023, analyzed data from 301 students. Variables were measured using a self-management questionnaire with three sections: socioeconomics, physical activity, and the Health Belief Model. This study found that adolescents spent an average of 54.7 minutes per day engaging in moderate to vigorous physical activity. This duration was independently associated with convenience (Coefficient = 5.49; p = 0.002), self-efficacy (Coefficient = 5.63; p<0.001), having an exercise companion (Coefficient = 16.98; p<0.001), and the perception that more than 60 minutes of daily activity is needed (Coefficient = 16.82; p<0.001). The Health Belief Model has the potential to explain the time spent in moderate to vigorous physical activity among adolescents in Ho Chi Minh City. Self-efficacy, convenience, companionship, and perceptions of appropriate physical activity duration should be considered when developing intervention programs.
Volume: 14
Issue: 3
Page: 1313-1322
Publish at: 2025-09-01

Factors associated with risk scores among stone mortar workers exposed to high noise levels in Lampang province, Thailand

10.11591/ijphs.v14i3.24814
Yuwadee Khunsaard , Arroon Ketsakorn
Noise pollution is an undesirable phenomenon that affects human health and can lead to occupational hearing loss. This study was to assess associations of risk scores from exposure to noise related to their variables from noise exposure among stone mortar workers who exposed to high noise levels during their work in Lampang, Thailand. The study was conducted between August and September 2023. Data collection involved using standardized questionnaires which were developed by researchers and used scientific instruments for noise measurement. The questionnaires contained items related to population characteristics and work information, knowledge, attitude, and practice for preventing noise exposure, noise exposure measurement, and risk scores from exposure to noise. Pearson’s correlation coefficient was used to analyze data. The results showed that seven factors significantly associated with risk scores from exposure to noise while performing their work. Apparently, there were four influential variables which included height of workers, ear symptoms, working hour per day, and noise measurement as tested using multiple regression analysis. Therefore, efforts should be made to manage those variables by drafting policies and creating tools for risk prediction to control the influential variables related to risk level from exposure to noise in the working area.
Volume: 14
Issue: 3
Page: 1394-1403
Publish at: 2025-09-01

Faraid distribution calculation using AI-based Quranic chatbot

10.11591/ijra.v14i3.pp393-406
Iman Hafizi Md Zin , Nur Farraliza Mansor , Norizan Mat Diah , Shakirah Hashim , Mastura Mansor
Faraid, Islamic inheritance law, refers to that aspect of Shariah law which is not properly understood and has created issues and impediments in the distribution of estates. This paper discusses the development of an AI-based Quranic chatbot to be used by the public to learn the Faraid rules and automate calculations of inheritance distribution. The chatbot has been developed using natural language processing and a rule-based algorithm, which intends to search and get an accurate interpretation from the user queries, retrieve relevant verses of the Quran, and compute the share of inheritance according to the established Islamic jurisprudence. Fuzzy match identifies and corrects variation in queries, enhancing user interaction, ensuring that it appears more intuitive and accessible. The system processes user input regarding heirs of the deceased, estate value, and debts, and applies Faraid rules to generate accurate distribution results that happen to be web-based platforms of this chatbot. It intends to link traditional Islamic knowledge with modern digital solutions, bringing Faraid calculations closer, more comfortable, faster, and transparent. Through rigorous tests and user feedback will prove above, revealing the chatbot’s potential in understanding the application of Islamic inheritance law and promoting digital engagement in all these through Quranic teachings.
Volume: 14
Issue: 3
Page: 393-406
Publish at: 2025-09-01

Depression, social support and management preferences among Ghanaian post-stroke patients: a case study

10.11591/ijphs.v14i3.25490
Lily Yarney , Joseph Nii Otinkorang , Herman Nuake Kofi Agboh
Post-stroke depression (PSD) significantly impacts the lives of cerebrovascular accident (CVA) survivors, yet tailored support systems and management preferences remain under-researched, particularly in specific healthcare settings. This study assessed the experience of depressive symptoms among CVA survivors, the support systems available to them, and their preferred management methods at the Ledzokuku-Krowor Municipal Assembly (LEKMA) Hospital in Ghana. Utilizing the descriptive case study design, 50 CVA patients were surveyed using a self-structured questionnaire and the Centre for Epidemiological Studies Depression Scale Revised (CESD R-20). Data were analyzed with Microsoft Excel and STATA version 17. Chi-square test of association was used to measure the severity of depression and specific demographic groups. Results indicated a high prevalence of depression (86%), with 10% experiencing moderate and 76% severe depression. Marital status significantly correlated with post-stroke depression (PSD) severity. Primary support sources included spouses/partners and children, providing various forms of support such as physical assistance, emotional well-being, and financial aid. Preferred management options were pharmacology and psychotherapy, driven by the desire for quick symptom relief and concerns over medication side effects and costs. These findings highlight the critical need for enhanced support systems and responsive management strategies to include depression for CVA survivors.
Volume: 14
Issue: 3
Page: 1552-1560
Publish at: 2025-09-01
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