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International Journal of Public Health Science (IJPHS)
Published by Institute of Advanced Engineering and Science
ISSN : 22528806     EISSN : 26204126     DOI : -
Core Subject : Health,
Health Professions
International Journal of Public Health Science (IJPHS) is an interdisciplinary journal that publishes material on all aspects of public health science. This IJPHS provides the ideal platform for the discussion of more sophisticated public health research and practice for authors and readers world wide. The priorities are originality and excellence. The journal welcomes high-impact articles on emerging public health science that covers (but not limited) to epidemiology, biostatistics, nutrition, family health, infectious diseases, health services research, gerontology, child health, adolescent health, behavioral medicine, rural health, chronic diseases, health promotion, evaluation and intervention, public health policy and management, health economics, occupational health and environmental health.
Arjuna Subject : -
Articles 51 Documents
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Search results for , issue "Vol 12, No 2: June 2023" : 51 Documents clear
Factors related to family’s ability to care for schizophrenic patients Dwi Indah Iswanti; Nursalam Nursalam; Rizky Fitryasari; Fery Agusman Motuho Mendrofa; Kandar Kandar
International Journal of Public Health Science (IJPHS) Vol 12, No 2: June 2023
Publisher : Intelektual Pustaka Media Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijphs.v12i2.22635

Abstract

Schizophrenic patients in family members makes the family helpless and unable to care for them. Patient, family, social environment, and health service factors can affect the family's ability to care for schizophrenic patients. The aims of this study are to analyze factor predictors of the family's ability to care for schizophrenic patients. This study used a correlational study design. The sample of this study is 135 schizophrenic families in the outpatient clinic of Dr. Amino Gondohutomo Regional Psychiatric Hospital with purposive sampling. The instruments in this study are the questionnaire which developed and modified from the experience caregiving instrument (ECI), inner resource scale (SAS-I), mental health inventory (MHI), Berkeley Expressivity Questionnaire, Barthel Index, caregiving tasks in caring for an adult with mental illness scale (CTiCAMIS). Data were analyzed using a multiple regression test. The result shows the family's ability to care for schizophrenic patients predicted by the variables of family resources (p-value=0.019) and social support (p-value=0.0.32). Family resources as the strongest predictor of the family's ability to care for schizophrenic patients (B=0.242). It is necessary to develop integrated family empowerment interventions that increase and activate the family's inner resources.
Detection and prediction of monkey pox disease by enhanced convolutional neural network approach Shaik Mazhar Hussain; Syed Ghouse
International Journal of Public Health Science (IJPHS) Vol 12, No 2: June 2023
Publisher : Intelektual Pustaka Media Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijphs.v12i2.22310

Abstract

Monkeypox is an infectious viral disease affecting both humans and animals. All symptoms are accompanied by a fever, swollen lymph nodes, and a rash that blisters before crusting. The interval between exposure and the development of symptoms is 5 to 21 days. Typically, symptoms last between two and four weeks. Although it is unknown to what degree it can happen without any signs. It has been found that not all outbreaks display the typical symptoms of fever, aches in the muscles, enlarged glands, and lesions appearing simultaneously. Cases may be severe, especially in children, pregnant women, or people with compromised immune systems. The problem can be detected and monitored at the early stages using some engineering solutions. Therefore, there is a necessity to develop accurate machine learning models for accurate interpretation before applying them in clinical trials. Hence, the proposed work has developed a model to diagnose monkey pox at the best accurate levels for accurate interpretation. The proposed enhanced convolutional neural network model is compared with the exisiting approaches. The obtained results were compared and indicate the superiority of the proposed algorithm.
Eating behaviors related to nutritional status among adolescents: a cross-sectional study Eka Oktavianto; I Made Moh. Yanuar Saifudin; Suryati Suryati; Supriyadi Supriyadi; Niken Setyaningrum
International Journal of Public Health Science (IJPHS) Vol 12, No 2: June 2023
Publisher : Intelektual Pustaka Media Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijphs.v12i2.22854

Abstract

Adolescents are still prone to the issues of under and overeating. Eating behaviors are one factor that affects adolescents' nutritional status. This study aimed to look at the relationship between adolescents' eating behaviors and nutritional status. The cross-sectional study was conducted between September and November 2022. The self-evaluation instruments were completed by one hundred seventy-two individuals. Spearman-rank correlation analyses were performed. The findings showed that 84 (48.8%) adolescents had normal nutritional status, compared to 73 (42.4%) adolescents who engaged in low-risk eating. Nutritional status and eating behaviors were substantially associated (r=0.41, p=0.03). This research shows that individuals with bad eating behaviors have a greater risk of experiencing nutritional disorders. This study has certain limitations, such as the sample's composition of adolescents from a particular Yogyakarta area, which restricts the applicability of our findings to other communities. A longitudinal study is required to ascertain the cause-effect relationship between eating behavior and nutritional status. Accordingly, the cooperation of various parties is needed to increase adolescent knowledge about the importance of optimal nutrition during the growth period and understanding related to a healthy diet. It is hoped that there will be further research on other factors that influence the nutritional status of adolescents.
Central obesity, obesity, and physical activity among university staffs Harikrishnan Ranganathan; Manjit Kaur Khaira; Raja Lexshimi Raja Gopal; Abid Hussain Bhat; Nabilah Ahmad; Siti Esah Bahari; Dina Adam; Kamalambal Harikrishnan
International Journal of Public Health Science (IJPHS) Vol 12, No 2: June 2023
Publisher : Intelektual Pustaka Media Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijphs.v12i2.21249

Abstract

Waist circumference (WC) is considered as a superior indicator to predict central obesity and its related comorbidities. Limited studies were conducted to infer central obesity using WC among university staffs. A cross-sectional study through the convenience sampling method was employed using the short form international physical activity questionnaire, anthropometric measurements, and WC measurement to infer a level of physical activity, body mass index (BMI), and central obesity. Seventy staff from three private universities in Malaysia participated in this study. There is a high prevalence (78.6%) of central obesity among the participants irrespective of their age. Majority of the participants fall under the overweight (37.1%) and obese (21.4%) category of BMI 48.6% reported to be involved in low level of physical activity. No difference in prevalence of central obesity based on age, gender, and level of physical activity. There is a moderately strong correlation between BMI and WC. In this study notably a high prevalence of central obesity in participants with underweight and desirable weight category of BMI was reported, which synergizes the concept of including WC measurement in health promotion activities. Appropriate multi- component and multi-level interventions can be considered to this population to prevent/combat obesity.
Predicting cardiovascular disease using different blood pressure guidelines Christopher M. Bopp; William Briggs; Catherine Orlando; Raed Seetan
International Journal of Public Health Science (IJPHS) Vol 12, No 2: June 2023
Publisher : Intelektual Pustaka Media Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijphs.v12i2.22188

Abstract

The criteria used to categorize patients as either hypertensive or normotensive were changed in 2017 by the American Heart Association and the American College of Cardiology (AHA/ACC). The updated guidelines lowered the criteria by which individuals are classified as hypertensive; systolic blood pressure (SBP) cut-off from ≥140 mmHg to ≥130 mmHg and diastolic blood pressure from ≥90 mmHg to ≥80 mmHg. The purpose of this study was to investigate what effect these changes in diagnostic criteria had on the ability of supervised learning to predict cardiovascular disease. Three models were developed and tested. Two models using a binned hypertension measure based on either the AHA/ACC new released guidelines or the Joint National Committee on the Prevention, Detection, Evaluation, and Treatment of High Blood Pressure (JNC7) original guidelines. The third model used SBP as a continuous variable. Data from 68,657 patients was processed through decision tree algorithm to determine which model offered the best accuracy. For both female and male subjects, the model with SBP returned the best area under the receiver operator characteristic curve and overall better sensitivity and specificity values. Our results showed that changing the criteria by which individuals are classified as hypertensive or normotensive negatively impacted the ability of decision tree to predict cardiovascular disease in both females and males.
Shared decision-making for chronic obstructive pulmonary disease smoking cessation Yen-Ping Tsai; Jiin-Torng Wu; Ming-Huang Chiu; Fang-Chun Wei
International Journal of Public Health Science (IJPHS) Vol 12, No 2: June 2023
Publisher : Intelektual Pustaka Media Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijphs.v12i2.22429

Abstract

Chronic obstructive pulmonary disease (COPD) is the main cause of death among people aged 65 years and above. Smoking cessation reduces the risk of morbidity and mortality. This study used the variables of smoking cessation behavior and psychological dependence to evaluate the effectiveness of smoking cessation shared decision-making (SDM) with traditional smoking cessation education in patients with COPD. This randomized controlled trial represents a significant positive correlation was observed among smoking duration (p<.05), the number of cigarettes (p<.05), smoking cessation behavior (p<.05), and psychological cigarette dependence. The intervention group (n=44) underwent session of smoking cessation SDM, whereas the control group (n=44) underwent session of traditional smoking cessation education. After three months of the intervention, significant improvements in psychological cigarette dependence (p<.05) and smoking cessation behavior (p<.05) were observed in both groups. The study confirmed that the success rate of smoking cessation in the intervention group is higher than the control group.
Effect of emotional freedom techniques on anxiety, depression and insomnia among COVID-19 patients Marcelina Boru Tambunan; Linda Suwarni; Selviana Selviana
International Journal of Public Health Science (IJPHS) Vol 12, No 2: June 2023
Publisher : Intelektual Pustaka Media Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijphs.v12i2.22403

Abstract

The COVID-19 pandemic has had a massive impact on various aspects, including mental health, especially for people confirmed positive for COVID-19. People who are positively confirmed for COVID-19 tend to experience decreased immunity caused by feelings of anxiety, depression, and insomnia. emotional freedom technology (EFT) therapy has been proven to reduce mental health disorders but has never been applied to people who are positively confirmed for COVID-19. This study aimed to examine the effect of EFT therapy on mental health disorders (anxiety, depression, and insomnia) in COVID-19 patients in Pontianak City. This research method is quantitative with a quasi-experimental design in the COVID-19 isolation area provided by the Pontianak City government, namely Upelkes and Rusunawa in June 2021. The total sampling was employed consisting of 42 people. A validated questionnaire on anxiety, depression, and insomnia was employed as a research instrument. A repeated ANOVA test was used to analyze research data. The results showed that EFT therapy was effective in reducing anxiety, depression, and insomnia scores in positively confirmed people for COVID-19 (p-value <0.05). EFT therapy can overcome mental health disorders experienced by people who are positively confirmed for COVID-19 and as an alternative therapy to speed up the healing process.
Herbal supplementation improves clinical outcomes among diabetes mellitus patients Akrom Akrom; Titiek Hidayati; Arif Budi Setianto
International Journal of Public Health Science (IJPHS) Vol 12, No 2: June 2023
Publisher : Intelektual Pustaka Media Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijphs.v12i2.22534

Abstract

Hyperglycemic conditions are still common in diabetes melllitus (DM) patients with routine therapy. Rural communities in the Special Region of Yogyakarta habitually consume herbal medicines. Herbal nutritional supplements (MHM) were developed as additional therapy to increase the success of achieving therapeutic targets for DM patients. This study aimed to identify the clinical picture of DM patients who were given MHM at public health center (PHC) in the rural areas of Bantul Regency, Yogyakarta Special Region. This retrospective study was conducted on 94 DM patients with routine therapy. Patients who met the inclusion and exclusion criteria and had agreed to the informed consent were divided into two groups. Patients in the treatment group were asked to consume herbal supplement preparations (MHM) for 20 days. On day 21, each group measured clinical outcome parameters (blood pressure, blood glucose levels, triglycerides, cholesterol, high density lipoprotein (HDL), low density lipoprotein (LDL), liver enzymes, urea, and creatinine). The mean difference test between the two groups (t-test) was carried out using a 95% confidence level. The results showed that the consumption of MHM herbal nutritional supplements for 20 days reduced blood sugar levels, Hb A1C levels, and urea levels (p<0.05). There were no differences in blood pressure, pulse, cholesterol, triglyceride, HDL, LDL, serum glutamic oxaloacetic transaminase (SGOT), serum glutamic pyruvic transaminase (SGPT), and creatinine levels between the two groups (p>0.05). Administration of MHM for 20 days increased clinical outcomes in blood sugar, HbA1c, and urea levels in DM patients at PHC.
Evaluation of cerebrovascular disease risk with carotid ultrasonography imaging in artificial intelligence framework Rivan Danuaji; Subandi Subandi; Stefanus Erdana Putra; Muhammad Hafizhan
International Journal of Public Health Science (IJPHS) Vol 12, No 2: June 2023
Publisher : Intelektual Pustaka Media Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijphs.v12i2.22285

Abstract

Carotid plaque is a biomarker of generalized atherosclerosis, and may predict ischemic stroke. Carotid intima-media thickness (C-IMT) measurement with ultrasonography imaging could capture the condition of carotid plaque. However, manual measurement of C-IMT is observer- dependent, resulting in observer bias and low reproducibility. In this study, we develop artificial intelligence (AI) framework that could automatically measure the C-IMT, and compared it with C-IMT measured by board of expert. This is a retrospective study done in Dr. Moewardi General Hospital, Surakarta, Indonesia. Carotid B-mode ultrasonography images were measured by panel of expert and by AI. After annotation process on Neurabot platform, AI could detect region of interest (ROI), and would do segmentation on the area to measure C-IMT autonomously. Dependent T-test was used to evaluate validity, and Cronbach’s alpha was used to find the reliability of C-IMT measured by panel of expert and AI. There was strong correlation (r=0.874; p=0.014) on dependent t-test for C-IMT measured by AI with C-IMT measured by board of expert. The internal consistency reliability coefficients (Cronbach’s alpha) were 0.938 and 0.909, for pretest and posttest, respectively. We also analyzed the test-retest reliability by comparing pretest and posttest score with dependent t-test, and we observed strong correlation with r=0.871 (p=0.000). AI developed on Neurabot platform are valid and reliable to measure C-IMT.
Eco-health survey effort to diagnose readiness for sustainability dengue prevention and control Nur Siyam; Bertakalswa Hermawati; Lukman Fauzi; Fahma Nur Fadila; Niken Lestari; Sifa Ul Janah; Sungatno Sungatno; Nadia Insrswari Utomo
International Journal of Public Health Science (IJPHS) Vol 12, No 2: June 2023
Publisher : Intelektual Pustaka Media Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijphs.v12i2.22797

Abstract

The prevention and control of dengue fever with the eco-health approach are crucial especially at the household level. However, the implementation is still limited and has continued to experience several obstacles. This study aimed to analyze the eco-health-based dengue vector control at the household level, identify the factors influencing decision-making, and assess household readiness towards the implementation. The study was conducted in Bandarharjo Village, the coastal area of Semarang City and the samples were residents who had settled for at least six months, selected using the purposive sampling technique. Furthermore, the household survey used a mixed method with quantitative and qualitative approaches. Data were collected through a Google Form, which consists of a questionnaire, an observation checklist by respondents, and interview guidelines with open- ended answer questions. The data were further analyzed with Univariate Analysis and qualitative data were processed with the Uwe Flick method. The results showed that the majority or 65.1% of the community is ready to carry out prevention and control with the eco-health method as indicated by the excellent and good readiness criteria of 14.7% and 50.5% respectively. Social capital and support from stakeholders, as well as community leaders, were found to strengthen community readiness for sustainable eco-health prevention and control of dengue fever.

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