Background: Organizational health literacy (OHL) plays a crucial role in improving patients' understanding and engagement in hospital care. Despite its importance, little is known about the comprehensive dimensions of OHL from a managerial perspective. This study aimed to identify key dimensions that can influence OHL in hospital settings to enhance patient care.
Methods: A scoping review was conducted to examine studies published from 2012-2024 regarding OHL in hospitals. Relevant studies were identified using a structured search strategy across multiple databases, including PubMed, Scopus, and Web of Science. Overall, 39 articles were selected after screening, and content analysis was performed using MAXQDA-10. The review adhered to the PRISMA guidelines for scoping reviews.
Results: The analysis identified six core dimensions of OHL: (i) leadership and management, (ii) policy and strategy formulation, (iii) human resources, (iv) organizational resources (including financial, physical, and informational), (v) processes, products, and services, and (vi) results. These dimensions were further categorized into 21 subcategories. Each dimension outlines essential components for improving hospital OHL, such as leadership support, staff training, communication strategies, and resource allocation. Additionally, the study highlights the role of technology, including electronic health literacy, in improving organizational performance.
Conclusion: By addressing the key dimensions that influence organizational health literacy in hospitals, hospital administrators can enhance patient understanding of healthcare services, improve safety and satisfaction levels, and foster a culture of health literacy. The provided framework offers a valuable management approach for integrating OHL into hospital operations, potentially leading to more informed and health-literate patient communities.
背景:组织健康素养(OHL)在提高患者对医院护理的理解和参与方面起着至关重要的作用。尽管它很重要,但从管理的角度来看,人们对OHL的综合维度知之甚少。本研究旨在确定能够影响医院环境中OHL以提高患者护理的关键维度。方法:对2012-2024年发表的关于医院OHL的研究进行范围综述。使用跨多个数据库(包括PubMed、Scopus和Web of Science)的结构化搜索策略确定相关研究。筛选后共筛选出39篇文章,使用MAXQDA-10进行内容分析。审查遵循PRISMA的范围审查指南。结果:分析确定了OHL的六个核心维度:(i)领导和管理,(ii)政策和战略制定,(iii)人力资源,(iv)组织资源(包括财务、物质和信息),(v)流程、产品和服务,以及(vi)结果。这些维度进一步分为21个子类别。每个维度都概述了改善医院职业健康管理的基本组成部分,如领导支持、员工培训、沟通策略和资源分配。此外,该研究还强调了技术,包括电子健康素养,在提高组织绩效方面的作用。结论:通过解决影响医院组织健康素养的关键维度,医院管理者可以增强患者对医疗保健服务的理解,提高安全性和满意度,并培养健康素养文化。所提供的框架提供了一种有价值的管理方法,可将OHL纳入医院业务,可能导致患者社区更加知情和具有卫生知识。
{"title":"Identifying Dimensions of Organizational Health Literacy in Hospitals: A Scoping Review.","authors":"Meghdad Rahati, Zahra Sakeni, Abdolhosein Kalantari, Masoud Etedali, Alireza Ganjipour, Ali Valinejadi","doi":"10.18502/ijph.v54i9.19855","DOIUrl":"10.18502/ijph.v54i9.19855","url":null,"abstract":"<p><strong>Background: </strong>Organizational health literacy (OHL) plays a crucial role in improving patients' understanding and engagement in hospital care. Despite its importance, little is known about the comprehensive dimensions of OHL from a managerial perspective. This study aimed to identify key dimensions that can influence OHL in hospital settings to enhance patient care.</p><p><strong>Methods: </strong>A scoping review was conducted to examine studies published from 2012-2024 regarding OHL in hospitals. Relevant studies were identified using a structured search strategy across multiple databases, including PubMed, Scopus, and Web of Science. Overall, 39 articles were selected after screening, and content analysis was performed using MAXQDA-10. The review adhered to the PRISMA guidelines for scoping reviews.</p><p><strong>Results: </strong>The analysis identified six core dimensions of OHL: (i) leadership and management, (ii) policy and strategy formulation, (iii) human resources, (iv) organizational resources (including financial, physical, and informational), (v) processes, products, and services, and (vi) results. These dimensions were further categorized into 21 subcategories. Each dimension outlines essential components for improving hospital OHL, such as leadership support, staff training, communication strategies, and resource allocation. Additionally, the study highlights the role of technology, including electronic health literacy, in improving organizational performance.</p><p><strong>Conclusion: </strong>By addressing the key dimensions that influence organizational health literacy in hospitals, hospital administrators can enhance patient understanding of healthcare services, improve safety and satisfaction levels, and foster a culture of health literacy. The provided framework offers a valuable management approach for integrating OHL into hospital operations, potentially leading to more informed and health-literate patient communities.</p>","PeriodicalId":49173,"journal":{"name":"Iranian Journal of Public Health","volume":"54 9","pages":"1870-1882"},"PeriodicalIF":1.6,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12630536/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145589469","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-09-01DOI: 10.18502/ijph.v54i9.19871
Keita Wagatsuma
{"title":"Ambient Temperature Increases the Hand, Foot, and Mouth Disease Incidence: A Time Series Analysis in Tokyo, Japan, 2000-2019.","authors":"Keita Wagatsuma","doi":"10.18502/ijph.v54i9.19871","DOIUrl":"10.18502/ijph.v54i9.19871","url":null,"abstract":"","PeriodicalId":49173,"journal":{"name":"Iranian Journal of Public Health","volume":"54 9","pages":"2037-2039"},"PeriodicalIF":1.6,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12630537/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145589707","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Background: To assess the effect of different treatment protocols on anthropometric measures, lipid profile, and weight-related quality of life amid the pandemic.
Methods: A single-blind randomized controlled trial was conducted at Hacettepe University's Family Medicine outpatient clinics in Ankara, Turkey, in 2022. Participants were stratified into three groups: intervention, control-1, and control-2. The intervention group received a calorie-restricted diet, exercise program, and follow-up calls every 15 days. Control-1 received the same plan with a single follow-up at week 4. Control-2 received general dietary and exercise advice and regular follow-up calls every 15 days. Outcomes were measured at baseline and 12 weeks, including quality of life assessed with the Turkish IWQOL-Lite scale.
Results: We 153 participants, with 51 individuals per group. At the 12th week, all groups exhibited significant improvements in weight, BMI, waist circumference, fat mass, and quality of life scores. The intervention group demonstrated improvements in physical function, self-esteem, work, and total quality of life score compared to baseline (P<0.001).
Conclusion: Developing and adhering to a personalized exercise and diet plan is crucial for maintaining a healthy lifestyle, even during a pandemic.
{"title":"The Effects of Different Intervention Protocols on Anthropometric Measures, Lipid Profile, and Quality of Life: Insights from a Pandemic-Era Randomized Controlled Trial.","authors":"Dilara Canbay Ozdemir, Duygu Ayhan Baser, Izzet Fidanci, Arzu Demircioglu Karagoz, Merve Ozdemir","doi":"10.18502/ijph.v54i9.19860","DOIUrl":"10.18502/ijph.v54i9.19860","url":null,"abstract":"<p><strong>Background: </strong>To assess the effect of different treatment protocols on anthropometric measures, lipid profile, and weight-related quality of life amid the pandemic.</p><p><strong>Methods: </strong>A single-blind randomized controlled trial was conducted at Hacettepe University's Family Medicine outpatient clinics in Ankara, Turkey, in 2022. Participants were stratified into three groups: intervention, control-1, and control-2. The intervention group received a calorie-restricted diet, exercise program, and follow-up calls every 15 days. Control-1 received the same plan with a single follow-up at week 4. Control-2 received general dietary and exercise advice and regular follow-up calls every 15 days. Outcomes were measured at baseline and 12 weeks, including quality of life assessed with the Turkish IWQOL-Lite scale.</p><p><strong>Results: </strong>We 153 participants, with 51 individuals per group. At the 12th week, all groups exhibited significant improvements in weight, BMI, waist circumference, fat mass, and quality of life scores. The intervention group demonstrated improvements in physical function, self-esteem, work, and total quality of life score compared to baseline (<i>P</i><0.001).</p><p><strong>Conclusion: </strong>Developing and adhering to a personalized exercise and diet plan is crucial for maintaining a healthy lifestyle, even during a pandemic.</p>","PeriodicalId":49173,"journal":{"name":"Iranian Journal of Public Health","volume":"54 9","pages":"1926-1937"},"PeriodicalIF":1.6,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12630456/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145589580","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-09-01DOI: 10.18502/ijph.v54i9.19870
Seungeun Park, Taemin Song, Jae-Hyun Park
{"title":"Public Health Insights from Social Media Analysis during the COVID-19 Pandemic in South Korea.","authors":"Seungeun Park, Taemin Song, Jae-Hyun Park","doi":"10.18502/ijph.v54i9.19870","DOIUrl":"10.18502/ijph.v54i9.19870","url":null,"abstract":"","PeriodicalId":49173,"journal":{"name":"Iranian Journal of Public Health","volume":"54 9","pages":"2035-2036"},"PeriodicalIF":1.6,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12630392/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145589605","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-09-01DOI: 10.18502/ijph.v54i9.19857
Zhuanping Zeng, Jiao Guo
Background: Pre-diabetes mellitus (PDM) is considered a precursor stage of type 2 diabetes mellitus (T2DM) and serves as an early warning sign for the disease. However, most studies only analyze the risk factors of T2DM, ignore the exploration of PDM.
Methods: Here 28,208 patients with T2DM were selected from 5 cities in the Pearl River Delta, Guangdong Province, China in 2017. Then a 1:1 matched case-control study was conducted according to the matching conditions. Finally, 28208 patients with PDM and 28208 patients with normal glucose tolerance (NGT) were matched, and when multiple subjects were matched, the same subjects in the region were preferredOrdered multiple logistic regression was used to analyze the influencing factors of T2DM and PDM. When analyzing the relationship between overweight, obesity, smoking, and T2DM, factors such as age, education level, exercise were adjusted.
Results: Overweight, obesity (OR=1.427, 95%CI:1.388~1.468; OR=1.829,95%CI:1.753~1.908) and smoking (OR=1.161,95%CI:1.113~1.212) were risk factors for the onset of T2DM by ordered multiple logistic regression. There was an additive interaction between overweight obesity and smoking in the developing of T2DM. Moreover, there were 0.196(0.051~0.341) relative excess risk due to the additive interaction, 9.1% (2.0%-16.1%) of T2DM exposed to both risk factors was attributable to the additive interaction, and the risk of T2DM in overweight and obese smokers was 1.203(1.004-1.402) times as high as the sum of risks in the participants exposed to a single risk factor too.
Conclusion: Overweight obesity and smoking are the risk factors for the onset of T2DM.
{"title":"Interaction between Overweight, Obesity and Smoking on the Risk of Pre-Diabetes and Type 2 Diabetes in Guangdong, China.","authors":"Zhuanping Zeng, Jiao Guo","doi":"10.18502/ijph.v54i9.19857","DOIUrl":"10.18502/ijph.v54i9.19857","url":null,"abstract":"<p><strong>Background: </strong>Pre-diabetes mellitus (PDM) is considered a precursor stage of type 2 diabetes mellitus (T2DM) and serves as an early warning sign for the disease. However, most studies only analyze the risk factors of T2DM, ignore the exploration of PDM.</p><p><strong>Methods: </strong>Here 28,208 patients with T2DM were selected from 5 cities in the Pearl River Delta, Guangdong Province, China in 2017. Then a 1:1 matched case-control study was conducted according to the matching conditions. Finally, 28208 patients with PDM and 28208 patients with normal glucose tolerance (NGT) were matched, and when multiple subjects were matched, the same subjects in the region were preferredOrdered multiple logistic regression was used to analyze the influencing factors of T2DM and PDM. When analyzing the relationship between overweight, obesity, smoking, and T2DM, factors such as age, education level, exercise were adjusted.</p><p><strong>Results: </strong>Overweight, obesity (OR=1.427, 95%CI:1.388~1.468; OR=1.829,95%<i>CI</i>:1.753~1.908) and smoking (OR=1.161,95%CI:1.113~1.212) were risk factors for the onset of T2DM by ordered multiple logistic regression. There was an additive interaction between overweight obesity and smoking in the developing of T2DM. Moreover, there were 0.196(0.051~0.341) relative excess risk due to the additive interaction, 9.1% (2.0%-16.1%) of T2DM exposed to both risk factors was attributable to the additive interaction, and the risk of T2DM in overweight and obese smokers was 1.203(1.004-1.402) times as high as the sum of risks in the participants exposed to a single risk factor too.</p><p><strong>Conclusion: </strong>Overweight obesity and smoking are the risk factors for the onset of T2DM.</p>","PeriodicalId":49173,"journal":{"name":"Iranian Journal of Public Health","volume":"54 9","pages":"1894-1905"},"PeriodicalIF":1.6,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12630384/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145589442","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Background: This study aimed to examine the relationship between hand types and somatotypes of healthy young individuals.
Materials: Overall, 312 volunteering individuals (152 F, 160 M) from Karabük University (Karabük, Türkiye), between the ages of 17 and 35 years were included in this prospective study. The somatotypes of the individuals were measured using a previously formed Excel template based on the Heath-Carter method. Factor analysis and clustering analysis were conducted with the 17 parameters measured.
Results: The mean body mass index of female participants was 21.23±3.30 kg/m2, while that of males was 23.48±3.52 kg/m2. When the somatotypes of individuals were examined, 5 different groups were found to be balanced: ectomorph, endomorphic mesomorph, mesomorph endomorph, mesomorphic endomorph, and central. As a result of these factors, it was concluded that there were 4 hand types: short palm short finger, long palm long finger, wide hand long finger, narrow hand short finger. The distribution of hand types between somatotype groups, the result that endomorphic mesomorph group had long palm long finger and wide hand long finger, while balanced ectomorph group had narrow hand short finger was found to be statistically significant (x2=55.817; df=12, P<0.05).
Conclusion: The difference between somatotypes was not only in body types, but also in hand anthropometry. We believe that the fact that these results can be used as anatomical data in product design, ergonomics, and preliminary design of interfaces for young individuals in the Turkish population will contribute to experts interested in this field.
{"title":"Investigation of the Relationship between Somatotypes and Hand Types in Healthy Young Individuals.","authors":"Rukiye Sumeyye Bakici, Necati Emre Sahin, Seyma Toy, Zulal Oner","doi":"10.18502/ijph.v54i9.19865","DOIUrl":"10.18502/ijph.v54i9.19865","url":null,"abstract":"<p><strong>Background: </strong>This study aimed to examine the relationship between hand types and somatotypes of healthy young individuals.</p><p><strong>Materials: </strong>Overall, 312 volunteering individuals (152 F, 160 M) from Karabük University (Karabük, Türkiye), between the ages of 17 and 35 years were included in this prospective study. The somatotypes of the individuals were measured using a previously formed Excel template based on the Heath-Carter method. Factor analysis and clustering analysis were conducted with the 17 parameters measured.</p><p><strong>Results: </strong>The mean body mass index of female participants was 21.23±3.30 kg/m<sup>2</sup>, while that of males was 23.48±3.52 kg/m<sup>2</sup>. When the somatotypes of individuals were examined, 5 different groups were found to be balanced: ectomorph, endomorphic mesomorph, mesomorph endomorph, mesomorphic endomorph, and central. As a result of these factors, it was concluded that there were 4 hand types: short palm short finger, long palm long finger, wide hand long finger, narrow hand short finger. The distribution of hand types between somatotype groups, the result that endomorphic mesomorph group had long palm long finger and wide hand long finger, while balanced ectomorph group had narrow hand short finger was found to be statistically significant (x<sup>2</sup>=55.817; df=12, <i>P</i><0.05).</p><p><strong>Conclusion: </strong>The difference between somatotypes was not only in body types, but also in hand anthropometry. We believe that the fact that these results can be used as anatomical data in product design, ergonomics, and preliminary design of interfaces for young individuals in the Turkish population will contribute to experts interested in this field.</p>","PeriodicalId":49173,"journal":{"name":"Iranian Journal of Public Health","volume":"54 9","pages":"1985-1995"},"PeriodicalIF":1.6,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12630436/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145589470","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Background: Hand, foot and mouth disease (HFMD) is a common infection disease among children, which is caused by human enterovirus (EV) family. The absence of cross-protection against different EV sub-types, makes HFMD reinfection common. Thus, we aimed to explore the epidemiological characteristics and influencing factors of HFMD reinfection in Qingdao City.
Methods: Data on HFMD cases from 2014 to 2022 were obtained from National Infectious Surveillance System. Logistic regression analysis was used to assess the independent risk factors of HFMD reinfection.
Results: Overall, 78422 HFMD cases were enrolled. Of these, 2041 cases were classified as reinfection, corresponding to the reinfection rate of 2.60%. The median time interval between the primary infection and secondary infection was 12.75 (IQR=12.24) months. The seasonal peak of reinfection occurred from June to August each year. Multivarite logistic analysis showed that male, younger age, scattered children, severe cases, hospitalization, and EV71 infection were risk factors for HFMD reinfection. The proportion of patients infected with EV71 in the primary infection cases was higher than that in non-reinfection cases (OR=1.83, 95%CI=1.29-2.60).
Conclusion: Boys aged 5 years and below, especially those with severe cases and first infected with EV71 are more prone to reinfection. Therefore, authorities should implement targeted health education and intervention strategies to reduce the reinfection rate among vulnerable population.
{"title":"Risk Factors for Hand, Foot and Mouth Disease Reinfection in Qingdao, China, from 2014 to 2022.","authors":"Xueling Xin, Jing Jia, Hongrui Zhai, Wencheng Wang, ZhaoHai Meng, Litao Sun, Xia Wang, Liyan Dong","doi":"10.18502/ijph.v54i9.19859","DOIUrl":"10.18502/ijph.v54i9.19859","url":null,"abstract":"<p><strong>Background: </strong>Hand, foot and mouth disease (HFMD) is a common infection disease among children, which is caused by human enterovirus (EV) family. The absence of cross-protection against different EV sub-types, makes HFMD reinfection common. Thus, we aimed to explore the epidemiological characteristics and influencing factors of HFMD reinfection in Qingdao City.</p><p><strong>Methods: </strong>Data on HFMD cases from 2014 to 2022 were obtained from National Infectious Surveillance System. Logistic regression analysis was used to assess the independent risk factors of HFMD reinfection.</p><p><strong>Results: </strong>Overall, 78422 HFMD cases were enrolled. Of these, 2041 cases were classified as reinfection, corresponding to the reinfection rate of 2.60%. The median time interval between the primary infection and secondary infection was 12.75 (IQR=12.24) months. The seasonal peak of reinfection occurred from June to August each year. Multivarite logistic analysis showed that male, younger age, scattered children, severe cases, hospitalization, and EV71 infection were risk factors for HFMD reinfection. The proportion of patients infected with EV71 in the primary infection cases was higher than that in non-reinfection cases (OR=1.83, 95%CI=1.29-2.60).</p><p><strong>Conclusion: </strong>Boys aged 5 years and below, especially those with severe cases and first infected with EV71 are more prone to reinfection. Therefore, authorities should implement targeted health education and intervention strategies to reduce the reinfection rate among vulnerable population.</p>","PeriodicalId":49173,"journal":{"name":"Iranian Journal of Public Health","volume":"54 9","pages":"1917-1925"},"PeriodicalIF":1.6,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12630414/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145589599","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-09-01DOI: 10.18502/ijph.v54i9.19862
Pınar Hamurcu
Background: This study aimed to examine the relationship between nutritional status assessed by the diet quality index with physical activity, sleep, and quality of life among young adults.
Methods: This descriptive, cross-sectional research utilized a sample of 700 university students enrolled in the 2021-2022 academic year at a private university's Faculty of Health Sciences in Istanbul, Türkiye. Data were collected using face-to-face interviews with Information Form, Pittsburgh Sleep Quality Index (PSQI), International Physical Activity Questionnaire (IPAQ), World Health Organization Quality of Life-Short Form-Turkish Version (WHOQOL-BREF-TR) and 24-Hour Food Consumption Record. The dietary quality of the participants assessed via Diet Quality Index-International (DQI-I).
Results: The study revealed inadequate diet quality among young adults, with a mean DQI-I score of 33.08±7.03. According to PSQI assessment, 85.3% of them had impoverished sleep quality, and according to IPAQ assessment, 23.3% of them were physically inactive. In comparing participants' characteristics with DQII, a positive correlation observed between age and both DQI-I-Total (P=0.017) and Variety sub-dimension (P=0.027). Furthermore, statistically significant differences identified between Moderation sub-dimension and economic situation (P=0.032), as well as between Variety sub-dimension and sleep duration (P=0.044). No statistically significant association found between diet quality and either sleep quality or physical activity levels (P>0.05). However, a significant relationship observed solely between Variety sub-dimension and social relationship sub-dimension of WHOQOL-BREF-TR (P=0.033).
Conclusion: This study observed a significant correlation between dietary diversity and quality of life, whereas no significant correlation observed between diet quality and sleep quality, physical activity level, or quality of life.
{"title":"Diet Quality as a Determinant of Physical Activity, Sleep Patterns, and Quality of Life in Young Adults.","authors":"Pınar Hamurcu","doi":"10.18502/ijph.v54i9.19862","DOIUrl":"10.18502/ijph.v54i9.19862","url":null,"abstract":"<p><strong>Background: </strong>This study aimed to examine the relationship between nutritional status assessed by the diet quality index with physical activity, sleep, and quality of life among young adults.</p><p><strong>Methods: </strong>This descriptive, cross-sectional research utilized a sample of 700 university students enrolled in the 2021-2022 academic year at a private university's Faculty of Health Sciences in Istanbul, Türkiye. Data were collected using face-to-face interviews with Information Form, Pittsburgh Sleep Quality Index (PSQI), International Physical Activity Questionnaire (IPAQ), World Health Organization Quality of Life-Short Form-Turkish Version (WHOQOL-BREF-TR) and 24-Hour Food Consumption Record. The dietary quality of the participants assessed via Diet Quality Index-International (DQI-I).</p><p><strong>Results: </strong>The study revealed inadequate diet quality among young adults, with a mean DQI-I score of 33.08±7.03. According to PSQI assessment, 85.3% of them had impoverished sleep quality, and according to IPAQ assessment, 23.3% of them were physically inactive. In comparing participants' characteristics with DQII, a positive correlation observed between age and both DQI-I-Total (<i>P</i>=0.017) and Variety sub-dimension (<i>P</i>=0.027). Furthermore, statistically significant differences identified between Moderation sub-dimension and economic situation (<i>P</i>=0.032), as well as between Variety sub-dimension and sleep duration (<i>P</i>=0.044). No statistically significant association found between diet quality and either sleep quality or physical activity levels (<i>P</i>>0.05). However, a significant relationship observed solely between Variety sub-dimension and social relationship sub-dimension of WHOQOL-BREF-TR (<i>P</i>=0.033).</p><p><strong>Conclusion: </strong>This study observed a significant correlation between dietary diversity and quality of life, whereas no significant correlation observed between diet quality and sleep quality, physical activity level, or quality of life.</p>","PeriodicalId":49173,"journal":{"name":"Iranian Journal of Public Health","volume":"54 9","pages":"1954-1964"},"PeriodicalIF":1.6,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12630539/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145589676","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Background: We aimed to comprehensively summarise and classify the rules for selecting acupoints for acupuncture for functional gastrointestinal disorders (FGIDs).
Methods: We searched relevant literature in PubMed, Embase, Web of Science, the Cochrane Library, China Biology Medicine, China National Knowledge Infrastructure, Wanfang Data, and Chinese Scientific Journal Database from the inception of the database to 18 Aug 2023. Following literature screening, data extraction, standardised processing, frequency analysis, association rules analysis, and correlation analyses were conducted using Microsoft Excel, IBM SPSS Modeller, Cytoscape, and R software.
Results: Zusanli (ST36), Tianshu (ST25), and Shangjuxu (ST37) were the most used acupoints. The stomach meridian, conception vessel, and bladder meridian were the more commonly used. The Five-shu points were the most used acupoints. The Shangjuxu-Tianshu (ST37-ST25) combination was the most common acupuncture combination in clinical settings. Furthermore, the acupoints ST36, ST25, Zhongwan (CV12), and Guanyuan (CV4) constituted the core groups of acupoints.
Conclusion: We summarized the current characteristics of acupuncture treatment for FGIDs, including the selection of acupoints, meridians, and specific acupoints. The stomach meridian of foot-yangming is frequently utilised, as it aligns with the core meridian theory of "Where the meridian passes through, that's the key point of healing" and "The relationship between meridians and internal Zangfu ()". The treatment of FGIDs focuses on specific acupoints, with the most effective option being the combination of the Front Mu and Lower-he(sea) points. These findings provide novel insights for the clinical management of FGIDs.
背景:我们的目的是全面总结和分类针灸治疗功能性胃肠疾病(fgid)的取穴规则。方法:检索PubMed、Embase、Web of Science、Cochrane图书馆、中国生物医学、中国国家知识基础设施、万方数据、中国科学期刊数据库自建库至2023年8月18日的相关文献。采用Microsoft Excel、IBM SPSS modeleller、Cytoscape、R软件进行文献筛选、数据提取、标准化处理、频率分析、关联规则分析、相关性分析。结果:足三里(ST36)、天枢(ST25)、上巨虚(ST37)是使用最多的穴位。胃经、胎脉、膀胱经是最常用的经络。五俞穴是使用最多的腧穴。上聚虚-天枢(ST37-ST25)组合是临床最常见的针刺组合。其中,ST36、ST25、中脘穴(CV12)、官源穴(CV4)为核心穴群。结论:我们总结了目前针灸治疗FGIDs的特点,包括穴位的选择、经络的选择和具体穴位的选择。足阳明的胃经经常被使用,因为它符合“经络经过的地方就是治疗的关键”和“经络与内藏的关系”的核心经络理论。FGIDs的治疗侧重于特定的穴位,最有效的选择是前沐和下河(海)穴的组合。这些发现为FGIDs的临床治疗提供了新的见解。
{"title":"Acupoints Compatibility Rules of Acupuncture for Functional Gastrointestinal Disorders Based on Data Mining Technology: A Systematic Review.","authors":"Haiping Li, Yuanbo Gao, Guang Zuo, Hao Chen, Xiaojun Zheng, Xuxin Li, Xifen Zhang, Yu Wang, Xihui Zheng, Xisheng Fan, Yanfen She","doi":"10.18502/ijph.v54i8.19568","DOIUrl":"10.18502/ijph.v54i8.19568","url":null,"abstract":"<p><strong>Background: </strong>We aimed to comprehensively summarise and classify the rules for selecting acupoints for acupuncture for functional gastrointestinal disorders (FGIDs).</p><p><strong>Methods: </strong>We searched relevant literature in PubMed, Embase, Web of Science, the Cochrane Library, China Biology Medicine, China National Knowledge Infrastructure, Wanfang Data, and Chinese Scientific Journal Database from the inception of the database to 18 Aug 2023. Following literature screening, data extraction, standardised processing, frequency analysis, association rules analysis, and correlation analyses were conducted using Microsoft Excel, IBM SPSS Modeller, Cytoscape, and R software.</p><p><strong>Results: </strong>Zusanli (ST36), Tianshu (ST25), and Shangjuxu (ST37) were the most used acupoints. The stomach meridian, conception vessel, and bladder meridian were the more commonly used. The Five-shu points were the most used acupoints. The Shangjuxu-Tianshu (ST37-ST25) combination was the most common acupuncture combination in clinical settings. Furthermore, the acupoints ST36, ST25, Zhongwan (CV12), and Guanyuan (CV4) constituted the core groups of acupoints.</p><p><strong>Conclusion: </strong>We summarized the current characteristics of acupuncture treatment for FGIDs, including the selection of acupoints, meridians, and specific acupoints. The stomach meridian of foot-yangming is frequently utilised, as it aligns with the core meridian theory of \"Where the meridian passes through, that's the key point of healing\" and \"The relationship between meridians and internal Zangfu ()\". The treatment of FGIDs focuses on specific acupoints, with the most effective option being the combination of the Front Mu and Lower-he(sea) points. These findings provide novel insights for the clinical management of FGIDs.</p>","PeriodicalId":49173,"journal":{"name":"Iranian Journal of Public Health","volume":"54 8","pages":"1591-1607"},"PeriodicalIF":1.6,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12507127/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145259729","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-06-01DOI: 10.18502/ijph.v54i6.18912
Ahmad Shamabadi
{"title":"The Necessity of Multifaceted Targeted Interventions for the Nicotine Addiction Crisis in Iran.","authors":"Ahmad Shamabadi","doi":"10.18502/ijph.v54i6.18912","DOIUrl":"10.18502/ijph.v54i6.18912","url":null,"abstract":"","PeriodicalId":49173,"journal":{"name":"Iranian Journal of Public Health","volume":"54 6","pages":"1325-1326"},"PeriodicalIF":1.3,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12241747/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144627511","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}