Early sexual activity can have a substantial negative impact on adolescents and youths. Biological, psychological, socio-cultural, and economic factors put youths at high risk of initiating sexual intercourse at an early age. This study aimed to assess the level of early sexual initiation and associated factors among school youth in the Benishangul Gumuz region.
Methods
School-based cross-sectional study was conducted from February 4–15, 2022. A pretested and self-administered questionnaire was used to collect the data. Bivariable and multivariable binary logistic regression model was used to determine the presence of a significant association between sexual initiation and independent variables.
Results
Out of 424 study subjects, 178 (43 %) had ever initiated sexual intercourse, of which 143 (80.3 %) had initiated before 18 years of age. Students who were in the age category of 15–19 years (AOR = 6.29; 95 % CI: 2.53, 15.63) and those who had multiple sexual partners (AOR = 5.08, 95 % CI = 2.00, 12.87) had higher odds of having early sexual initiation as compared with their counterpart. Similarly, students who consumed alcohol (AOR = 2.91, 95 % CI = 1.03, 8.17) and who had never used a condom during sexual intercourse (AOR = 3.09, 95 % CI = 1.22, 7.81) had a higher odd of initiating sexual intercourse at an early age as compared with their counterpart.
Conclusions
This study revealed that there was high magnitude of early sexual intercourse in the region. Predictors were having multiple sexual partners, never used a condom, and drunk alcohol. Delaying age at sexual initiation is a strategy that needs to be incorporated into the curriculums of primary and secondary schools. Parents have also a moral duty and responsibility to educate their children on the impact and consequence of early sexual initiation.
背景:严重的性行为会对青少年产生严重的负面影响。生理、心理、社会文化和经济因素使青少年过早开始性行为的风险很高。本研究旨在评估Benishangul Gumuz地区学校青少年的早期性行为水平及其相关因素。方法以学校为基础的横断面研究于2022年2月4日至15日进行。使用预先测试和自我管理的问卷来收集数据。使用双变量和多变量二元逻辑回归模型来确定性起始和自变量之间是否存在显著关联。结果424名调查对象中,178人(43%)曾有性行为,其中143人(80.3%)在18岁前有性行为。15 ~ 19岁学生(AOR = 6.29;95% CI: 2.53, 15.63)和那些有多个性伴侣的人(AOR = 5.08, 95% CI = 2.00, 12.87)与他们的同伴相比,有更高的几率过早开始性行为。同样,饮酒的学生(AOR = 2.91, 95% CI = 1.03, 8.17)和在性交过程中从未使用安全套的学生(AOR = 3.09, 95% CI = 1.22, 7.81)与同龄学生相比,在早期开始性交的几率更高。结论本研究显示该地区存在较高的早期性行为发生率。预测因素包括有多个性伴侣、从未使用安全套和酗酒。推迟开始性行为的年龄是一项需要纳入中小学课程的策略。父母也有道德上的义务和责任教育他们的孩子关于过早开始性行为的影响和后果。
{"title":"Early sexual initiation among school youths in Metekel Zone, Benishangul Gumuz Region, Northwestern Ethiopia: Cross sectional study","authors":"Mulatu Agajie , Tesfu Zewdu , Muluwas Amentie Zelka","doi":"10.1016/j.glt.2025.02.001","DOIUrl":"10.1016/j.glt.2025.02.001","url":null,"abstract":"<div><h3>Background</h3><div>Early sexual activity can have a substantial negative impact on adolescents and youths. Biological, psychological, socio-cultural, and economic factors put youths at high risk of initiating sexual intercourse at an early age. This study aimed to assess the level of early sexual initiation and associated factors among school youth in the Benishangul Gumuz region.</div></div><div><h3>Methods</h3><div>School-based cross-sectional study was conducted from February 4–15, 2022. A pretested and self-administered questionnaire was used to collect the data. Bivariable and multivariable binary logistic regression model was used to determine the presence of a significant association between sexual initiation and independent variables.</div></div><div><h3>Results</h3><div>Out of 424 study subjects, 178 (43 %) had ever initiated sexual intercourse, of which 143 (80.3 %) had initiated before 18 years of age. Students who were in the age category of 15–19 years (AOR = 6.29; 95 % CI: 2.53, 15.63) and those who had multiple sexual partners (AOR = 5.08, 95 % CI = 2.00, 12.87) had higher odds of having early sexual initiation as compared with their counterpart. Similarly, students who consumed alcohol (AOR = 2.91, 95 % CI = 1.03, 8.17) and who had never used a condom during sexual intercourse (AOR = 3.09, 95 % CI = 1.22, 7.81) had a higher odd of initiating sexual intercourse at an early age as compared with their counterpart.</div></div><div><h3>Conclusions</h3><div>This study revealed that there was high magnitude of early sexual intercourse in the region. Predictors were having multiple sexual partners, never used a condom, and drunk alcohol. Delaying age at sexual initiation is a strategy that needs to be incorporated into the curriculums of primary and secondary schools. Parents have also a moral duty and responsibility to educate their children on the impact and consequence of early sexual initiation.</div></div>","PeriodicalId":33615,"journal":{"name":"Global Transitions","volume":"7 ","pages":"Pages 81-86"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143420223","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01DOI: 10.1016/j.glt.2025.06.001
Wanqi Wen , Wenxuan Zhao , Dashan Zheng , Jianheng Chen , Biao Kan , Haijian Zhou , Bo Pang , Hualiang Lin
Introduction
The United Nations Sustainable Development Goals (UN SDG) include targets for safe drinking water, sanitation, and hygiene (WASH), which are critical in preventing cholera, a persistent health threat in low- and middle-income countries (LMICs). We aimed to assess the attributable burden of WASH on cholera under the UN SDG framework to inform global control efforts.
Methods
We extracted cholera-related information along with socioeconomic, geographical, and climate data across 89 LMICs from 2000 to 2017. Genome data from Enterobase and World Health Organization (WHO) weekly reports, were utilized to identify cholera occurrence. A modified Poisson generalized additive mixed model (GAMM) was employed to investigate the impact of WASH access on cholera, and the attributable burden and prevention fraction were further estimated.
Results
Statistically significant protective effects against cholera were observed for improved WASH facilities (e.g., piped water: prevalence ratio, PR = 0.88, 95 % CI: 0.85–0.91), while harmful effects were noted for unimproved facilities (e.g., open defecation: PR = 1.09, 95 % CI: 1.06–1.12). Regional disparities in WASH access further contributed to unequal cholera burden. In Sub-Saharan Africa, 25.77 % of cholera occurrences were attributed to the high proportion of unimproved drinking water, much higher than 9.09 % in Northern Africa and Western Asia. Achieving universal access to improved sanitation could reduce cholera risk by 32.98 % in Sub-Saharan Africa, compared to 7.47 % in Central and Southern Asia.
Conclusion
Our findings highlight the need for maintaining and increasing access to safe WASH in cholera-affected countries, and offer comprehensive information for implementing targeted, local-level control approaches to end cholera globally.
{"title":"Water and sanitation access shapes cholera burden in low- and middle-income countries","authors":"Wanqi Wen , Wenxuan Zhao , Dashan Zheng , Jianheng Chen , Biao Kan , Haijian Zhou , Bo Pang , Hualiang Lin","doi":"10.1016/j.glt.2025.06.001","DOIUrl":"10.1016/j.glt.2025.06.001","url":null,"abstract":"<div><h3>Introduction</h3><div>The United Nations Sustainable Development Goals (UN SDG) include targets for safe drinking water, sanitation, and hygiene (WASH), which are critical in preventing cholera, a persistent health threat in low- and middle-income countries (LMICs). We aimed to assess the attributable burden of WASH on cholera under the UN SDG framework to inform global control efforts.</div></div><div><h3>Methods</h3><div>We extracted cholera-related information along with socioeconomic, geographical, and climate data across 89 LMICs from 2000 to 2017. Genome data from Enterobase and World Health Organization (WHO) weekly reports, were utilized to identify cholera occurrence. A modified Poisson generalized additive mixed model (GAMM) was employed to investigate the impact of WASH access on cholera, and the attributable burden and prevention fraction were further estimated.</div></div><div><h3>Results</h3><div>Statistically significant protective effects against cholera were observed for improved WASH facilities (e.g., piped water: prevalence ratio, PR = 0.88, 95 % CI: 0.85–0.91), while harmful effects were noted for unimproved facilities (e.g., open defecation: PR = 1.09, 95 % CI: 1.06–1.12). Regional disparities in WASH access further contributed to unequal cholera burden. In Sub-Saharan Africa, 25.77 % of cholera occurrences were attributed to the high proportion of unimproved drinking water, much higher than 9.09 % in Northern Africa and Western Asia. Achieving universal access to improved sanitation could reduce cholera risk by 32.98 % in Sub-Saharan Africa, compared to 7.47 % in Central and Southern Asia.</div></div><div><h3>Conclusion</h3><div>Our findings highlight the need for maintaining and increasing access to safe WASH in cholera-affected countries, and offer comprehensive information for implementing targeted, local-level control approaches to end cholera globally.</div></div>","PeriodicalId":33615,"journal":{"name":"Global Transitions","volume":"7 ","pages":"Pages 333-341"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144306476","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01DOI: 10.1016/j.glt.2025.05.001
Evi Frimawaty , Randi Mamola
Context
Agroforestry projects in the Peat Hydrological Unit (PHU) area represent the largest peat forest management and support center for sustainable ecological growth. However, old habits such as littering and burning become complicated tasks for strategic forest management. Components of past behavior, social norms, and risk management interventions should be adapted as the psychosocial cognitive part of a complex mitigation behavior cycle prediction. The integration of psychosocial cognitive strategies into sustainable development not only increases collective awareness and responsibility locally and supports the future management of global environmental health.
Novelty
This study aims to provide a constructive understanding of the prediction of hybrid feedback loops cognitive maps in the behavioral cycle of burning and waste crisis mitigation using SCT, SME, CBSM, and social capital variable.
Methods
This study used survey data on psychosocial cognitive assessments collected from communities involved in agroforestry projects in PHU, West Kalimantan. The psychosocial cognitive components of SCT, SME, CBSM, and social capital were measured using the Planning Environmental Behavior Index (PEBI). Data were analyzed using hybrid feedback loops model combining Bayesian simulation and logistic hierarchy to obtain the statistical efficiency logFC (Fold Change).
Results
Logistic regression analysis of psychosocial cognitive items in the SCT, CBSM, and SME components revealed a significant influence of norms (β = 0.26, t(124) = 2.47, ρ < 0.05) and trust (β = 0.13, t(124) = 1.05, ρ < 0.05). However, the network component (β = 0.09, t(124) = 0.37, ρ > 0.20) did not significantly predict waste crisis and forest fire mitigation behavior. The SCT items showed hierarchical statistical significance: PPC (β = 0.39, t(124) = 3.27, ρ < 0.05), RP (β = 0.19, t(124) = 2.07, ρ < 0.05), and PEC (β = 0.44, t(124) = 2.24, ρ < 0.05). Similarly, SME items significantly contributed to PPC (β = 0.46, t(124) = 3.33, ρ < 0.05), RP (β = 0.24, t(124) = 2.51, ρ < 0.05), and PEC (β = 0.59, t(124) = 3.48, ρ < 0.05). CBSM predictions showed the significance of PEC control for the proportion stage of CR (β = 0.31, t(124) = 2.64, ρ < 0.05) and ME (β = 0.44, t(124) = 2.24, ρ < 0.05). Based on the hybrid feedback loop model, logistic regression of PEC items and social norms significantly predicted the mitigation behavior cycle, especially at the “action” and “outcome expectation” nodes.
Conclusion
The predictive findings suggest that PEC items and social norms influence the reinforcement of hybrid feedback loops at the “action” and “outcome expectancy” nodes in analyzing the cognitive map of the perceived mitigation behavior cycle.
{"title":"Waste crisis and potential implications of forest Fires: Perspective from psychosocial cognition","authors":"Evi Frimawaty , Randi Mamola","doi":"10.1016/j.glt.2025.05.001","DOIUrl":"10.1016/j.glt.2025.05.001","url":null,"abstract":"<div><h3>Context</h3><div>Agroforestry projects in the Peat Hydrological Unit (PHU) area represent the largest peat forest management and support center for sustainable ecological growth. However, old habits such as littering and burning become complicated tasks for strategic forest management. Components of past behavior, social norms, and risk management interventions should be adapted as the psychosocial cognitive part of a complex mitigation behavior cycle prediction. The integration of psychosocial cognitive strategies into sustainable development not only increases collective awareness and responsibility locally and supports the future management of global environmental health.</div></div><div><h3>Novelty</h3><div>This study aims to provide a constructive understanding of the prediction of hybrid feedback loops cognitive maps in the behavioral cycle of burning and waste crisis mitigation using SCT, SME, CBSM, and social capital variable.</div></div><div><h3>Methods</h3><div>This study used survey data on psychosocial cognitive assessments collected from communities involved in agroforestry projects in PHU, West Kalimantan. The psychosocial cognitive components of SCT, SME, CBSM, and social capital were measured using the Planning Environmental Behavior Index (PEBI). Data were analyzed using hybrid feedback loops model combining Bayesian simulation and logistic hierarchy to obtain the statistical efficiency logFC (Fold Change).</div></div><div><h3>Results</h3><div>Logistic regression analysis of psychosocial cognitive items in the SCT, CBSM, and SME components revealed a significant influence of norms (β = 0.26, t(124) = 2.47, ρ < 0.05) and trust (β = 0.13, t(124) = 1.05, ρ < 0.05). However, the network component (β = 0.09, t(124) = 0.37, ρ > 0.20) did not significantly predict waste crisis and forest fire mitigation behavior. The SCT items showed hierarchical statistical significance: PPC (β = 0.39, t(124) = 3.27, ρ < 0.05), RP (β = 0.19, t(124) = 2.07, ρ < 0.05), and PEC (β = 0.44, t(124) = 2.24, ρ < 0.05). Similarly, SME items significantly contributed to PPC (β = 0.46, t(124) = 3.33, ρ < 0.05), RP (β = 0.24, t(124) = 2.51, ρ < 0.05), and PEC (β = 0.59, t(124) = 3.48, ρ < 0.05). CBSM predictions showed the significance of PEC control for the proportion stage of CR (β = 0.31, t(124) = 2.64, ρ < 0.05) and ME (β = 0.44, t(124) = 2.24, ρ < 0.05). Based on the hybrid feedback loop model, logistic regression of PEC items and social norms significantly predicted the mitigation behavior cycle, especially at the “action” and “outcome expectation” nodes.</div></div><div><h3>Conclusion</h3><div>The predictive findings suggest that PEC items and social norms influence the reinforcement of hybrid feedback loops at the “action” and “outcome expectancy” nodes in analyzing the cognitive map of the perceived mitigation behavior cycle.</div></div>","PeriodicalId":33615,"journal":{"name":"Global Transitions","volume":"7 ","pages":"Pages 296-309"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144203482","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01DOI: 10.1016/j.glt.2025.05.003
Arsene Mouongue Kelly
In the face of Africa's persistent development and well-being challenges, climate finance emerges as a beacon of hope, promising not only environmental benefits but also potential improvements in quality of life. In this light, the present study set out to examine the effect of climate finance on subjective well-being in Africa using data from 37 African countries between 2012 and 2021. Employing ordinary least squares, the two-step system Generalized Method of Moments, and fixed effects Driscoll and Kraay regressions, the study finds that climate finance positively and significantly affects happiness. This effect remains robust even when considering endogeneity, cross-sectional dependence, alternative measures of climate finance, and sub-regional variations. Furthermore, the analysis of transmission channels validates natural resource rents and political stability as potential indirect pathways through which climate finance enhances well-being. Based on the findings, the study recommends that policymakers prioritize and scale up climate finance initiatives, integrate them with broader development strategies, control inflation, and establish transparent monitoring and evaluation systems to enhance the well-being of the populations.
{"title":"Does climate finance foster happiness in African economies? Assessing the direct and indirect pathways","authors":"Arsene Mouongue Kelly","doi":"10.1016/j.glt.2025.05.003","DOIUrl":"10.1016/j.glt.2025.05.003","url":null,"abstract":"<div><div>In the face of Africa's persistent development and well-being challenges, climate finance emerges as a beacon of hope, promising not only environmental benefits but also potential improvements in quality of life. In this light, the present study set out to examine the effect of climate finance on subjective well-being in Africa using data from 37 African countries between 2012 and 2021. Employing ordinary least squares, the two-step system Generalized Method of Moments, and fixed effects Driscoll and Kraay regressions, the study finds that climate finance positively and significantly affects happiness. This effect remains robust even when considering endogeneity, cross-sectional dependence, alternative measures of climate finance, and sub-regional variations. Furthermore, the analysis of transmission channels validates natural resource rents and political stability as potential indirect pathways through which climate finance enhances well-being. Based on the findings, the study recommends that policymakers prioritize and scale up climate finance initiatives, integrate them with broader development strategies, control inflation, and establish transparent monitoring and evaluation systems to enhance the well-being of the populations.</div></div>","PeriodicalId":33615,"journal":{"name":"Global Transitions","volume":"7 ","pages":"Pages 310-322"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144212235","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01DOI: 10.1016/j.glt.2025.06.005
Elsayed Farrag Elsaid Mohamad Elsayed , Yasmeen Fekery Yaseen Elkhodary , Mousa Gowfal Selmey , Abdalqader Ahmed Baker Al Bakery AL Masabi
Purposes
This study aims to develop and establish a concept referred to as Multidimensional Sustainable Inclusive Growth (MSIG), by examining inclusive growth from a micro-level perspective. Unlike previous studies that focus on the macro level, this approach seeks to offer a more realistic and precise definition and measure of inclusive growth on micro level, especially for developing countries.
Methods
The MSIG framework is constructed based on three key components.
A multidimensional participation component (measuring participation in production, adjusted by the ratio of wages to GDP), A multidimensional poverty component, and A multidimensional inequality component.
This approach introduces a comprehensive and in-depth measure of inclusive growth by integrating these dimensions into a single conceptual framework.
Findings
The results show notable variation in definitions, dimensions, and measurements of inclusive growth among existing literature. The newly developed MSIG shows: Positive growth in the years 2012, 2015, and 2019, and A decline in 2017.
The MSIGR (Multidimensional Sustainable Inclusive Growth Rate) was positive in 2012, 2015, and 2019—indicating a deterioration in inclusive growth—and negative in 2017, indicating an improvement in MSIGR.
When compared with Dudley Seers' method, both MSIGR and Seers’ inclusive growth rates display a similar trend, further validating the findings.
Conclusions
The study recommends that in developing country contexts, inclusive growth strategies should aim to be deep and multidimensional. Using comprehensive measures—such as poverty, inequality, and production participation (adjusted by wage-to-GDP ratios)—provides policymakers with nuanced insights into each component. This enables more informed decision-making and facilitates the adoption of strategies that foster sustainable and inclusive growth.
{"title":"Developing a multidimensional sustainable framework for measuring inclusive Growth: Evidence from Egypt","authors":"Elsayed Farrag Elsaid Mohamad Elsayed , Yasmeen Fekery Yaseen Elkhodary , Mousa Gowfal Selmey , Abdalqader Ahmed Baker Al Bakery AL Masabi","doi":"10.1016/j.glt.2025.06.005","DOIUrl":"10.1016/j.glt.2025.06.005","url":null,"abstract":"<div><h3>Purposes</h3><div>This study aims to develop and establish a concept referred to as Multidimensional Sustainable Inclusive Growth (MSIG), by examining inclusive growth from a micro-level perspective. Unlike previous studies that focus on the macro level, this approach seeks to offer a more realistic and precise definition and measure of inclusive growth on micro level, especially for developing countries.</div></div><div><h3>Methods</h3><div>The MSIG framework is constructed based on three key components.</div><div>A multidimensional participation component (measuring participation in production, adjusted by the ratio of wages to GDP), A multidimensional poverty component, and A multidimensional inequality component.</div><div>This approach introduces a comprehensive and in-depth measure of inclusive growth by integrating these dimensions into a single conceptual framework.</div></div><div><h3>Findings</h3><div>The results show notable variation in definitions, dimensions, and measurements of inclusive growth among existing literature. The newly developed MSIG shows: Positive growth in the years 2012, 2015, and 2019, and A decline in 2017.</div><div>The MSIGR (Multidimensional Sustainable Inclusive Growth Rate) was positive in 2012, 2015, and 2019—indicating a deterioration in inclusive growth—and negative in 2017, indicating an improvement in MSIGR.</div><div>When compared with Dudley Seers' method, both MSIGR and Seers’ inclusive growth rates display a similar trend, further validating the findings.</div></div><div><h3>Conclusions</h3><div>The study recommends that in developing country contexts, inclusive growth strategies should aim to be deep and multidimensional. Using comprehensive measures—such as poverty, inequality, and production participation (adjusted by wage-to-GDP ratios)—provides policymakers with nuanced insights into each component. This enables more informed decision-making and facilitates the adoption of strategies that foster sustainable and inclusive growth.</div></div>","PeriodicalId":33615,"journal":{"name":"Global Transitions","volume":"7 ","pages":"Pages 420-429"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144611590","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01DOI: 10.1016/j.glt.2025.04.002
Ramya Kundayi Ravi , Atul Shiva , Jaison Jacob , Priya Baby , Bharat Pareek , Kathyayani B. V
Mobile health applications (mHealth apps) in the healthcare industry are rapidly expanding, offering new opportunities for improving healthcare delivery, accessibility, and patient outcomes. They transformed the way medical services are delivered, particularly in resource-scarce settings. The success of these applications largely depends on their acceptance and adoption by healthcare professionals, including nurses. Understanding the factors that influence the intention to use these technologies is essential for designing applications that effectively meet the needs of future healthcare providers. This study aims to empirically explore factors influencing the intention to use mHealth apps among nursing students. A quantitative, exploratory survey tested and validated using the PLS-SEM on a convenience sample of 567 students from two Indian institutes. Findings reveal that ease of use plays a central role in shaping students' willingness to adopt mHealth apps, with time efficiency emerging as a significant determinant. Students were more likely to use these apps when they seamlessly fit into their routines and enhanced their workflow. Social influences, including peer encouragement and institutional support, significantly shaped their attitudes toward adoption. Privacy and trust concerns also played a crucial role, as students expressed a need for secure platforms that protect sensitive health information while ensuring reliability. Additionally, affordability influenced how users perceived accessibility and usability, highlighting the need for cost-effective solutions. However, researchers found that demographic factors such as age, gender, and study year had minimal influence. The study findings emphasize Prioritizing usability, security, and affordability can enhance mHealth app adoption, particularly in resource-limited setting.
{"title":"Exploring the factors influencing the intention to use mHealth applications in resource scare settings; a SEM analysis among future nurses","authors":"Ramya Kundayi Ravi , Atul Shiva , Jaison Jacob , Priya Baby , Bharat Pareek , Kathyayani B. V","doi":"10.1016/j.glt.2025.04.002","DOIUrl":"10.1016/j.glt.2025.04.002","url":null,"abstract":"<div><div>Mobile health applications (mHealth apps) in the healthcare industry are rapidly expanding, offering new opportunities for improving healthcare delivery, accessibility, and patient outcomes. They transformed the way medical services are delivered, particularly in resource-scarce settings. The success of these applications largely depends on their acceptance and adoption by healthcare professionals, including nurses. Understanding the factors that influence the intention to use these technologies is essential for designing applications that effectively meet the needs of future healthcare providers. This study aims to empirically explore factors influencing the intention to use mHealth apps among nursing students. A quantitative, exploratory survey tested and validated using the PLS-SEM on a convenience sample of 567 students from two Indian institutes. Findings reveal that ease of use plays a central role in shaping students' willingness to adopt mHealth apps, with time efficiency emerging as a significant determinant. Students were more likely to use these apps when they seamlessly fit into their routines and enhanced their workflow. Social influences, including peer encouragement and institutional support, significantly shaped their attitudes toward adoption. Privacy and trust concerns also played a crucial role, as students expressed a need for secure platforms that protect sensitive health information while ensuring reliability. Additionally, affordability influenced how users perceived accessibility and usability, highlighting the need for cost-effective solutions. However, researchers found that demographic factors such as age, gender, and study year had minimal influence. The study findings emphasize Prioritizing usability, security, and affordability can enhance mHealth app adoption, particularly in resource-limited setting.</div></div>","PeriodicalId":33615,"journal":{"name":"Global Transitions","volume":"7 ","pages":"Pages 199-210"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143851363","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01DOI: 10.1016/j.glt.2025.06.006
Sanju Kaladharan , Dhanya Manayath , G. Rejikumar , Ann Faria
Climate change poses a serious threat to human health. The health sector plays a crucial role in addressing the challenges posed by climate change. It must both manage the unavoidable health impacts and take steps to reduce its own greenhouse gas emissions, contributing to broader climate mitigation efforts. Kerala, an Indian state, has formulated its State Action Plan on Climate Change and Human Health (SAPCCHH), a comprehensive long-term planning document. Set to remain in effect until 2027, the plan has broader implications for promoting climate-resilient and sustainable healthcare. Kerala's public health system stands out for its emphasis on accessible primary healthcare at the community level and its decentralized governance.SAPCCHH leverages key opportunities in the state, including empowered local self-governments that are implementing democratic decentralization. Its success in tackling the COVID-19 pandemic and the Nipah virus offers valuable global insights on how health systems can be better prepared to address the health impacts of climate change across various levels. This collaborative governance model, which emphasizes local and decentralized governance, can play a vital role in mitigating the health impacts of climate change. In this paper, we examine how a decentralized health ecosystem can be instrumental in mitigating the health impacts of climate change, using Kerala's successful responses in the past. The paper highlights three key strengths of Kerala's health system, which have broader implications for addressing the health challenges posed by climate change: Local self-government-led primary health system, Community mobilization, and Intersectoral collaboration.
{"title":"Mitigating human health impacts of climate change: A case of Kerala state in India","authors":"Sanju Kaladharan , Dhanya Manayath , G. Rejikumar , Ann Faria","doi":"10.1016/j.glt.2025.06.006","DOIUrl":"10.1016/j.glt.2025.06.006","url":null,"abstract":"<div><div>Climate change poses a serious threat to human health. The health sector plays a crucial role in addressing the challenges posed by climate change. It must both manage the unavoidable health impacts and take steps to reduce its own greenhouse gas emissions, contributing to broader climate mitigation efforts. Kerala, an Indian state, has formulated its State Action Plan on Climate Change and Human Health (SAPCCHH), a comprehensive long-term planning document. Set to remain in effect until 2027, the plan has broader implications for promoting climate-resilient and sustainable healthcare. Kerala's public health system stands out for its emphasis on accessible primary healthcare at the community level and its decentralized governance.SAPCCHH leverages key opportunities in the state, including empowered local self-governments that are implementing democratic decentralization. Its success in tackling the COVID-19 pandemic and the Nipah virus offers valuable global insights on how health systems can be better prepared to address the health impacts of climate change across various levels. This collaborative governance model, which emphasizes local and decentralized governance, can play a vital role in mitigating the health impacts of climate change. In this paper, we examine how a decentralized health ecosystem can be instrumental in mitigating the health impacts of climate change, using Kerala's successful responses in the past. The paper highlights three key strengths of Kerala's health system, which have broader implications for addressing the health challenges posed by climate change: Local self-government-led primary health system, Community mobilization, and Intersectoral collaboration.</div></div>","PeriodicalId":33615,"journal":{"name":"Global Transitions","volume":"7 ","pages":"Pages 383-386"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144556930","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01DOI: 10.1016/j.glt.2025.04.003
Orgil Balgansuren , Narumon Arunotai
The 2030 Sustainable Development Agenda calls for integrating gender equality in all aspects of sustainable development. Still, there is limited understanding of how energy, poverty, and gender intersect in urban areas, particularly in Ulaanbaatar's ger districts, one of the world's coldest and most polluted capitals. Ger districts are disadvantaged residential areas consisting of traditional felt tents or self-built houses. This study addresses this knowledge gap using an intersectional gender perspective to explore how energy and air pollution impact residents. The study collected data through interviews with thirty-one ger district residents of various ages, (dis)abilities, health statuses, and observations and analysis of secondary data. The findings show the impact of severe air pollution and inequities on low-income residents, older individuals, and those with disabilities or poor health. The study reveals that energy poverty disproportionately affects women, highlighting the role of gender norms. It calls for more inclusive energy and environmental policies, emphasizing women's involvement in policy design and implementation for greater justice.
{"title":"Insights on energy, poverty, and gender nexus in urban ger district households: A case study from Ulaanbaatar, Mongolia","authors":"Orgil Balgansuren , Narumon Arunotai","doi":"10.1016/j.glt.2025.04.003","DOIUrl":"10.1016/j.glt.2025.04.003","url":null,"abstract":"<div><div>The 2030 Sustainable Development Agenda calls for integrating gender equality in all aspects of sustainable development. Still, there is limited understanding of how energy, poverty, and gender intersect in urban areas, particularly in Ulaanbaatar's <em>ger</em> districts, one of the world's coldest and most polluted capitals. <em>Ger</em> districts are disadvantaged residential areas consisting of traditional felt tents or self-built houses. This study addresses this knowledge gap using an intersectional gender perspective to explore how energy and air pollution impact residents. The study collected data through interviews with thirty-one <em>ger</em> district residents of various ages, (dis)abilities, health statuses, and observations and analysis of secondary data. The findings show the impact of severe air pollution and inequities on low-income residents, older individuals, and those with disabilities or poor health. The study reveals that energy poverty disproportionately affects women, highlighting the role of gender norms. It calls for more inclusive energy and environmental policies, emphasizing women's involvement in policy design and implementation for greater justice.</div></div>","PeriodicalId":33615,"journal":{"name":"Global Transitions","volume":"7 ","pages":"Pages 189-198"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143851364","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
To develop an artificial intelligence (AI)-assisted chest x-ray diagnostic system for the detection, differential diagnosis, and follow-up of tuberculosis (TB), and prove its usefulness.
Methods
This is a retrospective study. In-house developed AI-assisted chest x-ray diagnostic system was used to identify and diagnose lung abnormalities in participants' chest x-rays and to compare imaging findings from two x-rays. First, 100 chest radiographs were reviewed including TB cases (N = 43) with positive sputum test confirmation and non-TB cases (N = 57) for initial diagnosis and differential diagnosis. Next, 45 pairs of TB cases from the identical patients were reviewed for follow-up. The AI system diagnosed TB and graded the comparison images into three categories (improved, stable, or worsening). The performance was evaluated by four expert radiologists or pulmonary medicine specialists.
Results
The AI system demonstrated an exceptional sensitivity of 100 %, successfully identifying all 43 TB cases. Nevertheless, it is also susceptible to misclassify other diseases as TB, resulting in low specificity score of 66.7 %. The comparison function determined that expert physicians and AI-assisted chest x-ray diagnostic system were 58 % in exact agreement and 100 % in within one grade agreement.
Conclusions
The AI system successfully detected all TB patients identified in this study and demonstrated a reasonable comparison function. Therefore, our AI assisted chest x-ray diagnostic system is feasible and practical for TB screening.
{"title":"Development and evaluation of an artificial intelligence (AI) -assisted chest x-ray diagnostic system for detecting, diagnosing, and monitoring tuberculosis","authors":"Lalita Kaewwilai , Hiroshi Yoshioka , Antoine Choppin , Thepasit Prueksaritanond , Thitisant Palakawong Na Ayuthaya , Chantapat Brukesawan , Somruetai Matupumanon , Sho Kawabe , Yuki Shimahara , Arthit Phosri , Orawan Kaewboonchoo","doi":"10.1016/j.glt.2025.02.005","DOIUrl":"10.1016/j.glt.2025.02.005","url":null,"abstract":"<div><h3>Objectives</h3><div>To develop an artificial intelligence (AI)-assisted chest x-ray diagnostic system for the detection, differential diagnosis, and follow-up of tuberculosis (TB), and prove its usefulness.</div></div><div><h3>Methods</h3><div>This is a retrospective study. In-house developed AI-assisted chest x-ray diagnostic system was used to identify and diagnose lung abnormalities in participants' chest x-rays and to compare imaging findings from two x-rays. First, 100 chest radiographs were reviewed including TB cases (N = 43) with positive sputum test confirmation and non-TB cases (N = 57) for initial diagnosis and differential diagnosis. Next, 45 pairs of TB cases from the identical patients were reviewed for follow-up. The AI system diagnosed TB and graded the comparison images into three categories (improved, stable, or worsening). The performance was evaluated by four expert radiologists or pulmonary medicine specialists.</div></div><div><h3>Results</h3><div>The AI system demonstrated an exceptional sensitivity of 100 %, successfully identifying all 43 TB cases. Nevertheless, it is also susceptible to misclassify other diseases as TB, resulting in low specificity score of 66.7 %. The comparison function determined that expert physicians and AI-assisted chest x-ray diagnostic system were <strong>58</strong> % in exact agreement and 100 % in within one grade agreement.</div></div><div><h3>Conclusions</h3><div>The AI system successfully detected all TB patients identified in this study and demonstrated a reasonable comparison function. Therefore, our AI assisted chest x-ray diagnostic system is feasible and practical for TB screening.</div></div>","PeriodicalId":33615,"journal":{"name":"Global Transitions","volume":"7 ","pages":"Pages 87-93"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143552998","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-01DOI: 10.1016/j.glt.2025.02.003
Mona Gamal Mohamed , Taliaa Mohsen Al-Yafeai , Shukri Adam , Md Moyazzem Hossain , Ramya Kundayi Ravi , Fatima Mohamed Jalo , Aamna Eltayeb Osman
Background
Emotional intelligence and resilience empower students in the academic settings to face and overcome the challenges that comes with demanding academic tasks and social pressure.
Objective
This study aimed to examine the role of emotional intelligence in managing academic stress, fostering resilience, and supporting the transition experience among Northern Emirati students in health sciences. Additionally, it sought to assess whether factors such as GPA are related to EI, stress, and resilience levels.
Methods
A cross-sectional, descriptive survey design was used, with data collected from 230 second -year students at RAK Medical and Health Sciences University. The questionnaire included sections on sociodemographic data, the Trait Emotional Intelligence Questionnaire-Short Form (TEIQue-SF), the Brief Resilience Scale (BRS), and the Student Stress Inventory - Stress Manifestations (SSISM). Data analysis involved descriptive statistics in SPSS version 29, Structural Equation Modeling (SEM) for relational insights, and regression analysis in R to evaluate the predictive influence of EI on stress and resilience.
Results
Regression analysis indicated that EI significantly predicted resilience and stress levels, with GPA showing an additional positive relationship to EI and resilience. Regression analysis indicated that EI significantly predicted resilience (β = 0.52, p < 0.001) and stress levels (β = −0.33, p < 0.001). GPA exhibited a positive relationship with resilience (r = 0.29, p < 0.05) and well-being (r = 0.45, p < 0.001). Structural Equation Modeling (SEM) confirmed a well-fitting model (Chi-Square/DF = 2.879, RMSEA = 0.108, CFI = 0.785, TLI = 0.846). The path coefficients demonstrated that well-being had the strongest influence on GPA (β = 0.452, p < 0.001), while stress had a minimal but non-significant impact (β = 0.087, p = 0.107).
Conclusions
The findings suggest that emotional intelligence is a significant factor in helping health sciences students manage academic stress and foster resilience. These results highlight the potential benefit of EI development programs to support students during key academic transitions. However, the study's cross-sectional design and reliance on self-reported data suggest that further longitudinal research is needed to confirm these findings.
情商和适应力使学生在学术环境中能够面对和克服艰巨的学术任务和社会压力带来的挑战。目的本研究旨在探讨情绪智力在管理学业压力、培养韧性和支持阿联酋北部健康科学学生的过渡体验方面的作用。此外,它还试图评估GPA等因素是否与情商、压力和恢复能力水平有关。方法采用横断面描述性调查设计,收集来自RAK医学与健康科学大学230名二年级学生的数据。问卷内容包括社会人口统计数据、特质情商短表(TEIQue-SF)、简短弹性量表(BRS)和学生压力量表-压力表现(SSISM)。数据分析使用SPSS version 29进行描述性统计,使用结构方程模型(SEM)进行关系分析,使用R进行回归分析,评估EI对应力和恢复力的预测影响。结果回归分析表明,EI对心理弹性和压力水平有显著的预测作用,GPA与EI和心理弹性呈显著正相关。回归分析表明,EI显著预测心理弹性(β = 0.52, p <;0.001)和应力水平(β = - 0.33, p <;0.001)。GPA与弹性呈正相关(r = 0.29, p <;0.05)和幸福感(r = 0.45, p <;0.001)。结构方程模型(SEM)证实模型拟合良好(Chi-Square/DF = 2.879, RMSEA = 0.108, CFI = 0.785, TLI = 0.846)。通径系数显示,幸福感对GPA的影响最大(β = 0.452, p <;0.001),而压力的影响最小但不显著(β = 0.087, p = 0.107)。研究结果表明,情商是帮助健康科学专业学生管理学业压力和培养适应力的重要因素。这些结果强调了情商发展项目在关键的学业过渡期间支持学生的潜在好处。然而,该研究的横断面设计和对自我报告数据的依赖表明,需要进一步的纵向研究来证实这些发现。
{"title":"The significance of emotional intelligence in academic stress, resilience, and safe transition from high school to university: An SEM analysis among Northern Emirati university students","authors":"Mona Gamal Mohamed , Taliaa Mohsen Al-Yafeai , Shukri Adam , Md Moyazzem Hossain , Ramya Kundayi Ravi , Fatima Mohamed Jalo , Aamna Eltayeb Osman","doi":"10.1016/j.glt.2025.02.003","DOIUrl":"10.1016/j.glt.2025.02.003","url":null,"abstract":"<div><h3>Background</h3><div>Emotional intelligence and resilience empower students in the academic settings to face and overcome the challenges that comes with demanding academic tasks and social pressure.</div></div><div><h3>Objective</h3><div>This study aimed to examine the role of emotional intelligence in managing academic stress, fostering resilience, and supporting the transition experience among Northern Emirati students in health sciences. Additionally, it sought to assess whether factors such as GPA are related to EI, stress, and resilience levels.</div></div><div><h3>Methods</h3><div>A cross-sectional, descriptive survey design was used, with data collected from 230 second -year students at RAK Medical and Health Sciences University. The questionnaire included sections on sociodemographic data, the Trait Emotional Intelligence Questionnaire-Short Form (TEIQue-SF), the Brief Resilience Scale (BRS), and the Student Stress Inventory - Stress Manifestations (SSISM). Data analysis involved descriptive statistics in SPSS version 29, Structural Equation Modeling (SEM) for relational insights, and regression analysis in R to evaluate the predictive influence of EI on stress and resilience.</div></div><div><h3>Results</h3><div>Regression analysis indicated that EI significantly predicted resilience and stress levels, with GPA showing an additional positive relationship to EI and resilience. Regression analysis indicated that EI significantly predicted resilience (β = 0.52, p < 0.001) and stress levels (β = −0.33, p < 0.001). GPA exhibited a positive relationship with resilience (r = 0.29, p < 0.05) and well-being (r = 0.45, p < 0.001). Structural Equation Modeling (SEM) confirmed a well-fitting model (Chi-Square/DF = 2.879, RMSEA = 0.108, CFI = 0.785, TLI = 0.846). The path coefficients demonstrated that well-being had the strongest influence on GPA (β = 0.452, p < 0.001), while stress had a minimal but non-significant impact (β = 0.087, p = 0.107).</div></div><div><h3>Conclusions</h3><div>The findings suggest that emotional intelligence is a significant factor in helping health sciences students manage academic stress and foster resilience. These results highlight the potential benefit of EI development programs to support students during key academic transitions. However, the study's cross-sectional design and reliance on self-reported data suggest that further longitudinal research is needed to confirm these findings.</div></div>","PeriodicalId":33615,"journal":{"name":"Global Transitions","volume":"7 ","pages":"Pages 109-117"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143553001","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}