MyMedR

Displaying publications 1 - 20 of 458 in total

Abstract:

Sort:

A scoping review of the types and features of technology used to deliver exercise prescription and improve exercise adherence

Sulwarajan K, Jaafar Z, Md Sari NA, Hamzah SH, Yusop FD, Hamid S, et al.

Patient Educ Couns, 2025 Feb;131:108580.
PMID: 39644532 DOI: 10.1016/j.pec.2024.108580

OBJECTIVE: Exercise adherence and motivation can benefit from technology, but the specific factors influencing these improvements remain unclear. This scoping review aimed to outline the types and features of technology used in exercise prescription within healthcare, focusing on enhancing users' adherence to exercise.
METHODS: A comprehensive systematic literature search was conducted from January 2000 to February 2023 across Web of Science, Google Scholar, and MEDLINE via PubMed. The review sought studies on technology-based exercise prescriptions for adults ≥ 18 years, evaluating features that enhance motivation or adherence.
RESULTS: Out of 1724 articles reviewed, 45 met the criteria, demonstrating that mobile applications, exercise gaming, wearable trackers, and websites are commonly used technologies for prescribing exercise in healthcare setting. Common features, special features, and motivating features were found to be important in all technology-based exercise tools to enhance users' adherence and motivation.
CONCLUSION: This review provides a comprehensive overview of the technological types and approaches that can support and improve exercise adherence among health service users. The findings also emphasize on specific features that can address current gaps in technology-driven fitness interventions.
PRACTICE IMPLICATIONS: Healthcare professionals should make informed decisions when recommending these tools to health service users, since technology does play a significant role in promoting long-term adherence to exercise programs.

Matched MeSH terms: Motivation*
Fulltext Slice filtering for fast craniofacial surface reconstruction

Tan, S.L., Belaton, B., Rajion, Z.A., Samsudin, A.R.

Archives of Orofacial Sciences, 2006;1(1):29-35.
MyJurnal

We present an algorithm to reduce the number of slices from 2D contour cross sections. The main aim of the algorithm is to filter less significant slices while preserving an acceptable level of output quality and keeping the computational cost to reconstruct surface(s) at a minimal level. This research is motivated mainly by two factors; first 2D cross sections data is often huge in size and high in precisions – the computational cost to reconstruct surface(s) from them is closely related to the size and complexity of this data. Second, we can trades visual fidelity with speed of computations if we can remove visually insignificant data from the original dataset which may contains redundant information. In our algorithm we use the number of contour points on a pair of slices to calculate the distance between them. Selection to retain/reject a slice is based on the value of distance compared against a threshold value. Optimal threshold value is derived to produce set of slices that collectively represent the feature of the dataset. We tested our algorithm over six different set of data, varying in complexities and sizes. The results show slice reduction rate depends on the complexity of the dataset, where highest reduction percentage is achieved for objects with lots of constant local variations. Our derived optimal thresholds seem to be able to produce the right set of slices with the potential of creating surface(s) that traded off the accuracy and speed requirements.

Matched MeSH terms: Motivation
Motivation for nurses undertaking a post-registration qualification in Malaysia

Chiu LH

Int Nurs Rev, 2005 Mar;52(1):46-51.
PMID: 15725276

To present several key factors that motivated Malaysian registered nurses to undertake a post-registration degree through an Australian university. The overall research study, from which this paper is drawn, looked at the professional learning of Malaysian registered nurses and the subsequent impact on their careers.

Matched MeSH terms: Motivation*
Fulltext The Efficacy of Positive Education Intervention for Academic Boredom and Intrinsic Motivation among College Students: A Quasi-Experimental Study

Jie Z, Roslan S, Muhamad MM, Md Khambari MN, Zaremohzzabieh Z

Int J Environ Res Public Health, 2022 Oct 15;19(20).
PMID: 36293911 DOI: 10.3390/ijerph192013323

(1) Background: The influence of academic boredom and intrinsic motivation on students' learning and achievements is receiving more attention from scholars. Nevertheless, studies on how intervention decreases academic boredom and promotes intrinsic motivation during study remain unexplored. (2) Purpose: The purpose of this study is to investigate whether positive education intervention based on the PERMA model would help Chinese college students with learning-related academic boredom, class-related academic boredom, and intrinsic motivation. (3) Methods: This study is quasi-experimental research with a control group including pre-test and post-test. The study was conducted with 173 students, including 86 (n1 = 86) experimental and 87 (n2 = 87) control group students. (4) Results: Results revealed that students in the intervention condition reported significant reductions in learning-related academic boredom and class-related academic boredom, and significant increases in intrinsic motivation in comparison to their counterparts in the control group. (5) Conclusions: These findings indicate that positive education intervention for college students is a promising approach to reducing academic boredom and increasing intrinsic motivation among Chinese college students.

Matched MeSH terms: Motivation*
Fulltext Motivations Influencing Alipay Users to Participate in the Ant Forest Campaign: An Empirical Study

Wang S, Ibrahiem MH, Li M

Int J Environ Res Public Health, 2022 Dec 18;19(24).
PMID: 36554915 DOI: 10.3390/ijerph192417034

As one of the largest payment platforms in China, Alipay, launched a green behavior project called Ant Forest. The purpose of taking this initiative by Alipay is to make the world greener. This mobile application has motivated many users to plant millions of trees. However, minimal studies have been conducted to empirically disclose the factors that motivate Alipay users to participate in Ant Forest. A mixed-method approach is used to examine the factors influencing Alipay users to participate in Ant Forest and the level of satisfaction they got from it. The qualitative method was carried out through a structured questionnaire from 400 Alipay users and qualitative data from 20 users who have applied to Ant Forest and successfully planted trees. Additionally, alongside the mixed method employed to rationalize the relationship highlighted, a multiple regression model was employed to predict the value of a dependent variable (level of satisfaction) based on the value of several independent variables (namely, number of years engaged with Ant Forest activities, age, gender, profession, and education). The empirical results show that intrinsic motivations (enjoyment, social interaction, fulfilment, altruism) and extrinsic motivations (external rewards, competition) influence Alipay users to participate in the Ant Forest project. Further insights are presented in the concluding section for all stakeholders for environmental sustainability among the users of Alipay.

Matched MeSH terms: Motivation*
Fulltext China's changing expectations of the SCO between 2001 and 2019

Xu X, Rogers RA

PLoS One, 2023;18(3):e0275625.
PMID: 36893159 DOI: 10.1371/journal.pone.0275625

After the cold war, some countries gradually seek to regional cooperation when they could not handle various transnational challenges alone. Shanghai Cooperation Organization (SCO) is a good example. It brought Central Asian countries together. This paper applies the text-mining method, using co-word analysis, co-occurrence matrix, cluster analysis, and strategic diagram to analyze the selected articles from newspapers quantitatively and visually. In order to investigate the Chinese government's attitude toward the SCO, this study collected data from the China Core Newspaper Full-text Database, which contains high-impact government newspapers revealing the Chinese government's perception of the SCO. This study characterizes the changing role of SCO as perceived by the Chinese government from 2001 to 2019. Beijing's changing expectations in each of the three identified subperiods are described.

Matched MeSH terms: Motivation*
Fulltext Triggering Chinese lecturers' intrinsic work motivation by value-based leadership and growth mindset: Generation difference by using multigroup analysis

Zhao X, Wider W, Zhang X, Fauzi MA, Wong CH, Jiang L, et al.

PLoS One, 2024;19(3):e0297791.
PMID: 38536845 DOI: 10.1371/journal.pone.0297791

This cross-sectional study investigated the effects of value-based leadership and growth mindset on the intrinsic work motivation of Chinese lecturers. In addition, this study used age as a categorical moderator to investigate generational differences between the effects of Millennials and their predecessors. A sample of 518 lecturers from various Chinese universities was used to collect data, and SEM-PLS was used to analyse the data. The results showed that value-based leadership and growth mindset had a significant positive impact on both younger and older lecturers' intrinsic work motivation, with the effect of value-based leadership on younger lecturers' intrinsic motivation being significantly stronger than on older lecturers' intrinsic motivation, whereas the effect of growth mindset on intrinsic work motivation did not differ significantly between the younger and older groups. This study contributes to the existing research literature by contrasting the value-based leadership and growth mindset in relation to lecturers' intrinsic work motivation across younger and older groups in Chinese higher education settings, where greater heterogeneity between age groups was identified. The findings also provided university administrators with recommendations for boosting the intrinsic work motivation of lecturers, influencing future education policy.

Matched MeSH terms: Motivation*
Cultural threads in writing mastery: a structural analysis of perfectionism, learning self-efficacy, and motivation as mediated by self-reflection in Chinese EFL learners

Tao Y, Yu J

BMC Psychol, 2024 Feb 16;12(1):80.
PMID: 38365708 DOI: 10.1186/s40359-024-01572-5

BACKGROUND: The study explores language acquisition in Chinese English as a Foreign Language (EFL) education, where English proficiency is crucial for global opportunities. As China gains prominence, the demand for English skills rises beyond communication to include academic and business success. The Chinese education system emphasizes proficient English writing for further education and professional achievement. This research investigates the complex linguistic context for EFL learners in China, analyzing the intersection of psychological factors, cultural nuances, varied pedagogy, and individual experiences.
METHODS: Structural Equation Modeling (SEM) is utilized for analysis, enabling the creation of a metric set to explore intangibles such as perfectionism, learning self-efficacy, motivation, study habits, cultural influences, and introspection. The research utilizes a diverse sample from multiple universities across different regions of China, incorporating demographic factors to encompass the varied characteristics within the EFL learner community.
RESULTS: Results reveal that perfectionism (β = 0.30, p

Matched MeSH terms: Motivation*
Fulltext The Influence of Teachers' Management Efficiency and Motivation on College Students' Academic Achievement under Sustainable Innovation and the Cognition of Social Responsibility after Employment

Tan C, Yi L, Haider A, Kwen L, Mamnoon R, Li K, et al.

J Environ Public Health, 2022;2022:1663120.
PMID: 36060872 DOI: 10.1155/2022/1663120

Teachers' management effectiveness can reflect the comprehensive ability and effective evaluation of the teaching management objectives of the school and can also reflect the effectiveness management of the school to a certain extent. In the environment of sustainable and innovative development, the rapid development of education has made improving the management efficiency and motivation of university teachers became the key direction of university management. In order to study the impact of teachers' management efficacy and motivation on college students' academic achievement and postemployment social responsibility cognition under sustainable innovation, this study compares the impact of teachers in different periods on students and analyzes the changes of teachers in different periods on students. Finally, it is concluded that teachers' management efficiency and motivation under sustainable innovation can promote students' employment achievement and social responsibility cognition, improve the teaching quality of colleges and universities, and provide high-quality talents for the country. The educational concept of sustainable innovation is conducive to improving teachers' independent innovation and realizing the educational function of cultivating students' personalized development in colleges and universities.

Matched MeSH terms: Motivation*
Fulltext Drivers of green purchasing behaviour: a systematic review and a research agenda

Yusoff N, Alias M, Ismail N

F1000Res, 2023;12:1286.
PMID: 38196406 DOI: 10.12688/f1000research.140765.1

Background: Green purchasing is an important aspect of sustainable consumption, which decreases society's environmental effect. Although numerous research has been conducted to investigate the determinants of green buying behaviour, there has been a lack of effort in comprehensively analysing these findings. The purpose of this study is to examine the available literature on the factors that influence green purchasing behaviour. Methods: The review focused on empirical research published in peer-reviewed English-language publications between 2017 and 2021 in Web of Science and Scopus. The research took place from May to June 2021. Mixed Methods Appraisal Tool (MMAT) is used to assess the risk of bias in systematic literature reviews. Results: 41 articles were included, with significant focus on the retailing sector. Most of these studies were centred in Asian countries, primarily China and India. The Theory of Planned Behaviour was the most prominent, appearing 15 times, followed by the Theory of Reasoned Action (seven times). Analysis identified five main themes and 15 sub-themes related to green purchase behaviour drivers. These themes were categorized by occurrence: People (34 papers), marketing (13), knowledge (12), environment (12), and influence (nine). The dominant driver was people (34 studies), encompassing sub-themes including motivation (three), perception (eight), behavioural (13), and psychographic characteristics (10). Conclusions: This study has given an overview of the present status of green purchasing behaviour, which serves as a foundation for future studies and guidance for policymakers and practitioners. However, it does not include unpublished materials and non-English papers. Secondly, it focuses on articles from two databases within the last five years which doesn't encompass all article types, prompting the need for future exploration. Thirdly, extending the review's time frame could unveil more pronounced GPB patterns. Lastly, although all eligible papers were assessed based on criteria, the chance of overlooking some papers is acknowledged.

Matched MeSH terms: Motivation*
Greening the workforce in higher educational institutions: The pursuance of environmental performance

Ali QM, Nisar QA, Abidin RZU, Qammar R, Abbass K

Environ Sci Pollut Res Int, 2023 Dec;30(60):124474-124487.
PMID: 35349063 DOI: 10.1007/s11356-022-19888-3

The research aims to examine the role of green human resource management (GHRM) in the university's environmental performance. Furthermore, this research also focuses on the mediating effect of green commitment and pro-environmental behavior. It also aims to check how green self-efficacy moderates the relationship between green commitment and pro-environmental behavior. The paper opted for a quantitative design using the convenience sampling technique/approach by collecting the data through a structured questionnaire on 208 academic staff currently employed in the university. The data were collected from August until December 2021 on two campuses (Gujranwala, Jhelum) of the University of Punjab in Pakistan. The current study results give empirical insights that show how green human resource management practices lead to environmental performance at a greater level in a university setting. Study results proposed that change in behavior of employees through human resource management practices can ultimately affect the organization's environmental performance. Further results also demonstrate that green self-efficacy moderates the relationship between green commitment and pro-environmental behavior. This study highlights the role of the university staff's level of commitment and self-efficacy, which are beneficial for enhancing the university's environmental performance. The originality of this study fills the gap in how green commitment mediates the relationship of green human resource management and environmental performance further; it fulfills the gap of green self-efficacy that moderates the relationship of pro-environmental behavior and green commitment. The study sheds light on green human resource management practices in the higher education sector. It emphasizes the vital role of academic staff's environmentally conscious behavior in enhancing a university's environmental performance. The further study highlighted the increasing concept of green human resource management as a set of building the ability, enhancing motivation, and providing opportunities to influence workers' pro-environmental behaviors. The conclusion of the current research was capable of validating the positive concerns of green GHRM, behaviors, and commitments for environmental performance.

Matched MeSH terms: Motivation*
What stops us and what motivates us? A scoping review and bibliometric analysis of barriers and facilitators to physical activity

Azizan A, Fadzil NHM

Ageing Res Rev, 2024 Aug;99:102384.
PMID: 38914263 DOI: 10.1016/j.arr.2024.102384

INTRODUCTION: Physical inactivity is a major global health concern, contributing to the rising non-communicable disease burden. Elucidating barriers and facilitators influencing participation is critical to promoting activity. This study aimed to synthesize the literature and analyze the extent of research on determinants of physical activity engagement.
METHODS: Scoping review methodology guided the synthesis of 272 publications on factors influencing physical activity. Bibliometric analysis examined publication trends, productivity, influential studies, content themes, and collaboration networks.
RESULTS: Since 2010, the United States has led a significant increase in research output. Highly cited articles identified physiological limitations and psychosocial determinants as key barriers and facilitators. Extensive focus was seen in clinical medicine and exercise science journals. Analysis revealed predominant attention to psychosocial factors, physiological responses, and applications in respiratory disease. Gaps remain regarding policy and environmental factors.
CONCLUSION: This review showed major advances in elucidating determinants while revealing the remaining needs to curb the pandemic of inactivity globally. Expanding international collaboration, contemporary theoretical models, and tailored mixed-methods approaches could promote progress through greater global participation. Addressing knowledge gaps across populations and disciplines should be a priority.

Matched MeSH terms: Motivation*
Fulltext Motivational influence of virtual reality in physical therapy for children with cerebral palsy: a systematic review protocol

Mohd Iqbal HA, Zanudin A, Mohd Nordin NA

BMJ Open, 2025 Jan 07;15(1):e075912.
PMID: 39773787 DOI: 10.1136/bmjopen-2023-075912

INTRODUCTION: Emulating the vast inclusion of advanced technology in everyday practice, the medical world is no exception to its implementation, in particular, virtual reality (VR). Initially, its introduction as a therapy was accompanied by high aspirations and expectations for its growth and potential. Motivation is said to be the most associated benefit; although it is imperative to note that there exists a paucity of research that specifically quantifies its tangible impact on cerebral palsy (CP). There has yet to be a systematic review of the instruments used to precisely measure motivation and examine its association with the benefits of VR for children with cerebral palsy.
METHODS AND ANALYSIS: This review will evaluate comparative studies that used VR therapy as part of interventions for children with CP. Qualitative studies, single-case studies, systematic reviews, literature reviews and guideline audits will be excluded. This review will be conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA-P) guidelines. The methodological protocol was registered with the International Prospective Register of Systematic Reviews (PROSPERO). The following electronic databases will be used to access related studies published between January 2012 and December 2023: MEDLINE (via EBSCOhost), Web of Science, Scopus, PubMed and Cochrane. The Peer Review of Electronic Search Strategies checklist will be employed to develop database search strategies.
ETHICS AND DISSEMINATION: This review does not require ethical approval as it uses secondary data. The findings will be published in a scientific journal. We intend to contribute to the expansion of knowledge concerning the motivational implications of VR on children with CP.
PROSPERO REGISTRATION NUMBER: International Prospective Register of Systematic Reviews (identification number CRD42023401079).

Matched MeSH terms: Motivation*
Fulltext Perceived teacher support and student engagement among higher education students - a systematic literature review

Prananto K, Cahyadi S, Lubis FY, Hinduan ZR

BMC Psychol, 2025 Feb 11;13(1):112.
PMID: 39934874 DOI: 10.1186/s40359-025-02412-w

BACKGROUND: Research on student engagement has garnered significant interest from educators and practitioners because of its direct impact on academic success and achievement. Engaged students tend to perform better academically and exhibit fewer undesirable study behaviors, thereby enhancing academic outcomes.
OBJECTIVE: This systematic literature review consolidates research on the impact of perceived teacher support on student engagement in higher education. This study emphasizes the association between teacher support in improving students' academic performance, motivation, and retention. Furthermore, the review explores key theoretical frameworks, such as self-determination theory and social cognitive theory, alongside methodological tools such as measurement instruments and statistical analyses. The goal is to equip psychologists and educational researchers with insights into the relevant frameworks, tools, and methods for advancing future studies within the context of higher education.
METHODS: This study followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology. We conducted a comprehensive search for academic studies published in English within databases such as APA PsycNet, Scopus, ERIC, EBSCOHost, ProQuest, and PubMed to identify eligible studies published between 2014 and 2024.
RESULTS: A review of 13 selected articles revealed that both students' personal characteristics and school environment factors mediate and moderate the relationship between perceived teacher support and student engagement. The students' personal characteristics factors include self-efficacy, the fulfillment of psychological needs, and motivation, whereas school environment factors involve the learning environment and the quality of teacher-student and peer relationships. Our findings show a lack of studies prior to 2020, with most research conducted in China and limited contributions from Malaysia and Vietnam. The reviewed articles predominantly used cross-sectional quantitative designs and self-report questionnaires, employing statistical methods like path analysis and structural equation modeling. Theoretical frameworks on student engagement mostly followed Fredricks et al.'s model, while teacher support theories varied, with three main patterns identified: direct influence, mediation through basic psychological needs, and social cognitive perspectives. This review emphasizes the crucial role of teacher support in enhancing student engagement in higher education and urges further exploration in this under-researched area.
CONCLUSION: In conclusion, this review underscores the significant role of teacher support in enhancing student engagement in higher education. It highlights key theoretical frameworks and research methodologies, offering valuable insights for future studies aimed at advancing teacher support and student engagement in this context.

Matched MeSH terms: Motivation*
Fulltext Portfolio optimization of risky assets using mean variance and mean cvar

Hannah Nadiah Abdul Razak, Mohd. Azdi Maasar, Nur Hafidzah Hafidzuddin, Ernie Syufina Chun Lee

Journal of Academia Universiti Teknologi MARA Negeri Sembilan, 2019;7(101):25-32.
MyJurnal

The aim of this research is to apply the variance and conditional value at risk (CVaR) as risk measures in portfolio selection problem. Consequently, we are motivated to compare the behavior of two different type of risk measures (variance and CVaR) when the expected returns of a portfolio vary from a low return to a higher return. To obtain an optimum portfolio of the assets, we minimize the risks using mean variance and mean CVaR models. Dataset with stocks for FBMKLCI is used to generate our scenario returns. Both models and dataset are coded and implemented in AMPL software. We compared the performance of both optimized portfolios constructed from the models in term of risk measure and realized returns. The optimal portfolios are evaluated across three different target returns that represent the low risk low returns, medium risk medium returns and high risk high returns portfolios. Numerical results show that the composition of portfolios for mean variance are generally more diversified compared to mean CVaR portfolios. The in sample results show that the seven optimal mean CVaR0:05 portfolios have lower CVaR0:05 values as compared to their optimal mean variance counterparts. Consequently, the standard deviation for mean variance optimal portfolios are lower than the standard deviation of its mean CVaR0:05 counterparts. For the out of sample analysis, we can conclude that mean variance portfolio only minimizes standard deviation at low target return. While, mean CVaR portfolios are favorable in minimizing risks at high target return.

Matched MeSH terms: Motivation
Fulltext Perceived stress related to nursing education and its influence on nursing students’ academic and clinical performance

Gurbinder Kaur, J.S., Hamidah, H., Blackman, I., Belan, I.

Medicine & Health, 2011;6(2):86-97.
MyJurnal

Stress has a negative effect on student nurses well-being and can impede learning or motivate them and is conducive to learning. This study examined the perceived stress and factors that influenced daily students’ life among both the Diploma and Bachelor of Nursing students. A total of 241 nursing students were involved in this research project. Findings of this study indicated that junior nursing students (

Matched MeSH terms: Motivation
Fulltext Diagonal preconditioned conjugate gradient algorithm for unconstrained optimization

Choong Boon Ng, Wah June Leong, Mansor Monsi

Pertanika Journal of Science & Technology, 2014;22(1):213-224.
MyJurnal

The nonlinear conjugate gradient (CG) methods have widely been used in solving unconstrained optimization problems. They are well-suited for large-scale optimization problems due to their low memory requirements and least computational costs. In this paper, a new diagonal preconditioned conjugate gradient (PRECG) algorithm is designed, and this is motivated by the fact that a pre-conditioner can greatly enhance the performance of the CG method. Under mild conditions, it is shown that the algorithm is globally convergent for strongly convex functions. Numerical results are presented to show that the new diagonal PRECG method works better than the standard CG method.

Matched MeSH terms: Motivation
Eigenstructure-based angle for detecting outliers in multivariate data

Nazrina Aziz

Sains Malaysiana, 2014;43:1973-1977.

There are two main reasons that motivate people to detect outliers; the first is the researchers' intention; see the example of Mr Haldum's cases in Barnett and Lewis. The second is the effect of outliers on analyses. This article does not differentiate between the various justifications for outlier detection. The aim was to advise the analyst about observations that are isolated from the other observations in the data set. In this article, we introduce the eigenstructure based angle for outlier detection. This method is simple and effective in dealing with masking and swamping problems. The method proposed is illustrated and compared with Mahalanobis distance by using several data sets.

Matched MeSH terms: Motivation
Fulltext Experiences and Expectations of the Characteristics of Friendly Primary Health Services from the Perspective of Men: A Phenomenological Qualitative Study

Ab Aziz MZ, Tengku Ismail TA, Ibrahim MI, Yaacob NM, Mohd Said Z

Int J Environ Res Public Health, 2022 Sep 29;19(19).
PMID: 36231727 DOI: 10.3390/ijerph191912428

Inadequate men's engagement with health services may be influenced by unmet needs and demands of the local men's community. This study aimed to explore men's experiences with primary health services and their expectations of the characteristics of friendly primary health services, from the perspective of men in Kelantan, Malaysia. A qualitative study using in-depth interviews was conducted with 15 men from six primary health facilities in Kelantan, Malaysia, who were selected based on maximum variation sampling. The data were transcribed and analyzed using the thematic analysis method. The study found that experiences with the existing primary health services were categorized into four subthemes: provision of health services, health promotion delivery, attributes of healthcare providers, and the physical environment of the health facilities. Meanwhile, the expectations of the characteristics of friendly primary health services were categorized into four subthemes: meeting the needs of men in primary health services, approaching men through effective health promotion strategies, standards of a healthcare provider from the viewpoint of men, and a comfortable physical environment for men. Prior experiences hugely influenced men's expectations of friendly primary health services. Men want these health service characteristics customized to meet their needs, allowing them to use health services with confidence and comfort. Thus, to strengthen primary health services for men, it is essential to comprehend their prior experiences with and expectations of the services.

Matched MeSH terms: Motivation*
Fulltext Health Education Module Based on Information-Motivation-Behavioural Skills (IMB) for Reducing Depression, Anxiety, and Stress among Adolescents in Boarding Schools: A Clustered Randomised Controlled Trial

Dapari R, Bashaabidin MSM, Hassan MR, Dom NC, Rahim SSSA, Wan Mahiyuddin WR

Int J Environ Res Public Health, 2022 Nov 21;19(22).
PMID: 36430081 DOI: 10.3390/ijerph192215362

Depression, anxiety, and stress (DAS) among adolescents have become a public health concern. The aim of this study was to develop, implement, and measure an IMB-based health education intervention module for reducing DAS among adolescents in boarding schools in the state of Negeri Sembilan, Malaysia. A single-blinded cluster randomised control trial (RCT) was conducted among students with abnormal DASS-21 scores. They were divided into an intervention group (three schools, 62 participants) and a control group (three schools, 57 participants). Participants in the intervention group received IMB-based health education, while participants in the control group underwent the standard care session. To determine the effectiveness of the intervention, the Generalised Linear Mixed Model (GLMM) analysis was conducted. A total of 119 students participated in this study, and no loss to follow-up was reported. Both intervention and control groups showed significantly reduced DAS scores (p < 0.005). However, the reduction of these scores was greater in the intervention group. The GLMM analysis revealed that the intervention was effective in reducing depression (ß = -2.400, t = -3.102, SE = 0.7735, p = 0.002, 95% CI = -3.921, -0.878), anxiety (ß = -2.129, t = -2.824, SE = 0.7541, p = 0.005, 95% CI = -3.612, -0.646), and stress (ß = -1.335, t = -2.457, SE = 0.536, p = 0.015, 95% CI = -2.045, -0.266) among adolescents. The IMB-based health education module was effective in reducing DAS among adolescents in boarding schools.

Matched MeSH terms: Motivation*

Filters

Please provide feedback to Administrator (afdal@afpm.org.my)

External Links