Displaying publications 1 - 20 of 354 in total

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  1. Zulkiply SH, Abdul Manaf R, Dahlan R, Dapari R
    PLoS One, 2023;18(3):e0283747.
    PMID: 37000802 DOI: 10.1371/journal.pone.0283747
    BACKGROUND: Mental health problems, particularly depression and anxiety disorders are the leading causes of disease burden. Despite the effectiveness of mental healthcare services and the impairing effects of untreated mental health problems, the rate of help-seeking is low among young people. In addition, the mental health burden gap is high in low- and middle-income countries. Good mental health literacy has been associated with better help-seeking.

    AIMS: This study aims to evaluate the effect of theory- and web-based health education intervention on mental health literacy among foundation students at a public university in Malaysia.

    METHODS: A randomised controlled trial study will be conducted among foundation students. Participants will be recruited and randomly assigned to either the intervention or control group. The intervention will be conducted for two weeks with a one-month follow-up. The health education intervention will be developed according to the Information, Motivation, and Behavioural Skill Theory, and will be delivered via a website. The outcome will be measured using validated, self-administered questionnaires. at baseline, post-intervention, and one-month follow up. The data will be analysed using Generalised Estimating Equation (GEE). This study is registered to the Thai Clinical Trial Registry (TCTR) (reference number: TCTR20210705006), dated 4th July 2021.

    CONCLUSIONS: The results from this study will be useful for relevant authorities to take further efforts in mental health promotion among young people.

    Matched MeSH terms: Internet
  2. Zulkapli NA, Sobi S, Mohd Zubaidi NA, Abdullah JM
    Malays J Med Sci, 2016 Jul;23(4):1-4.
    PMID: 27660539 DOI: 10.21315/mjms2016.23.4.1
    The Malaysian Journal of Medical Sciences (MJMS) has conducted a simple analysis of its scholarly publication, based on the auto-generated data compiled from ScholarOne Manuscripts(™), an innovative, web-based, submission and peer-review workflow solution for scholarly publishers. The performance of the MJMS from 2014-2015 is reported on in this editorial, with a focus on the pattern of manuscript submission, geographical contributors and the acceptance-rejection rate. The total number of manuscript submissions has increased from 264 in 2014, to 272 in 2015. Malaysians are the main contributors to the MJMS. The total number of manuscript rejections following the review process was 79 (29.9%) in 2014, increasing to 92 (33.8%) the following year, in accordance with the exacting quality control criteria applied by the journal's editor to the submitted manuscripts.
    Matched MeSH terms: Internet
  3. Zubair S, Syed Yusoff SK, Fisal N
    Sensors (Basel), 2016;16(2):172.
    PMID: 26840312 DOI: 10.3390/s16020172
    The emergence of the Internet of Things and the proliferation of mobile wireless devices has brought the area of mobile cognitive radio sensor networks (MCRSN) to the research spot light. Notwithstanding the potentials of CRSNs in terms of opportunistic channel usage for bursty traffic, the effect of the mobility of resource-constrained nodes to route stability, mobility-induced spatio-temporal spectral opportunities and primary user (PU) protection still remain open issues that need to be jointly addressed. To this effect, this paper proposes a mobile reliable geographical forwarding routing (MROR) protocol. MROR provides a robust mobile framework for geographical forwarding that is based on a mobility-induced channel availability model. It presents a comprehensive routing strategy that considers PU activity (to take care of routes that have to be built through PU coverage), PU signal protection (by the introduction of a mobility-induced guard (mguard) distance) and the random mobility-induced spatio-temporal spectrum opportunities (for enhancement of throughput). It also addresses the issue of frequent route maintenance that arises when speeds of the mobile nodes are considered as a routing metric. As a result, simulation has shown the ability of MROR to reduce the route failure rate by about 65% as against other schemes. In addition, further results show that MROR can improve both the throughput and goodput at the sink in an energy-efficient manner that is required in CRSNs as against compared works.
    Matched MeSH terms: Internet
  4. Zohor Ali AA, Muhammad NA, Jamil TR, Ahmad S, Abd Aziz NA
    Addict Behav Rep, 2021 Dec;14:100350.
    PMID: 34041356 DOI: 10.1016/j.abrep.2021.100350
    Despite the wide accessibility to internet, pornography activities among youths are not well described in conservative countries like Malaysia. This study aimed to determine the prevalence, elicit gender differences and identify associated factors of pornographic exposure including perceived realism among college students. This cross-sectional study was conducted among students aged 18 to 25 years from seven colleges in Penang, Malaysia. A self-administered questionnaire was used to obtain data on socio-demographic characteristics, pornography exposure, pattern of use, sexual exposure and perceived realism. Among 986 participants, the prevalence of lifetime pornography exposure was 74.5%. More males (71.7%) were exposed to pornography, had started at earlier age, were frequent users and using the internet alone at home (p 
    Matched MeSH terms: Internet
  5. Zhu JJ, Liu Z, Huang T, Guo XS
    PLoS One, 2023;18(6):e0287439.
    PMID: 37390063 DOI: 10.1371/journal.pone.0287439
    This study aims to give a comprehensive analysis of customers' acceptance and use of AI gadgets and its relevant ethical issues in the tourism and hospitality business in the era of the Internet of Things. Adopting a PRISMA methodology for Systematic Reviews and Meta-Analyses, the present research reviews how tourism and hospitality scholars have conducted research on AI technology in the field of tourism and the hospitality industry. Most of the journal articles related to AI issues published in Web of Science, ScienceDirect.com and the journal websites were considered in this review. The results of this research offer a better understanding of AI implementation with roboethics to investigate AI-related issues in the tourism and hospitality industry. In addition, it provides decision-makers in the hotel industry with practical references on service innovation, participation in the design of AI devices and AI device applications, meeting customer needs, and optimising customer experience. The theoretical implications and practical interpretations are further identified.
    Matched MeSH terms: Internet
  6. Zhou R, Luo Z, Zhong S, Zhang X, Liu Y
    Int J Environ Res Public Health, 2022 Dec 17;19(24).
    PMID: 36554845 DOI: 10.3390/ijerph192416965
    With the rapid development and widespread popularity of the Internet, employee social media use at work has become an increasingly common phenomenon in organizations. This paper analyzes 105 related papers from the Social Science Citation Index in Web of Science through Scoping Review to clarify the definition and characteristics of employee social media use and the types of social media and summarizes the current research methods. Then, the reasons for employees' willingness and refusal to use social media and the positive and negative effects of employee social media use on employees' work attitudes, behaviors, and performance are discussed. Then, the mediating variables, moderating variables, and theoretical frameworks used in the relevant studies are described, and a comprehensive model of employee social media use is constructed. Finally, this paper indicates future research directions based on the latest research results in 2020-2022, i.e., improving research methods, increasing antecedent studies, expanding consequence research, and expanding mediating variables, moderating variables, and theoretical perspectives.
    Matched MeSH terms: Internet
  7. Zhang Q, Wang Y, Ariffin SK
    PLoS One, 2024;19(2):e0296339.
    PMID: 38358985 DOI: 10.1371/journal.pone.0296339
    The rapid development of live-streaming e-commerce has driven billions of sales revenues and made customers' purchase intention a life-and-death issue for sellers. This study examines the influencing factors of customers' purchase intention from a value perspective by adopting and extending the Theory of Consumption Values (TCV). We also incorporated streamer popularity as a moderating variable to reveal its significant impact on live-streaming e-commerce. This study collected 457 valid online questionnaires from Chinese live-streaming e-commerce users. Our findings show that five of six consumption values, namely functional, social, emotional, conditional, and self-gratification value, are significant drivers of purchase intention. In addition, streamer popularity has strengthened the influence of functional, social, emotional, and self-gratification value on purchase intention. This study deepens the current understanding of live-streaming and customer value research by establishing and validating a comprehensive research model, and reveals the decisive role of multi-dimensional value and streamer popularity in live-streaming industry. The research findings could guide live-streaming merchants to increase sales by reallocating their resources to different consumption values and optimising their investment strategy in popular streamers.
    Matched MeSH terms: Internet
  8. Zhang F, Shih SF, Harapan H, Rajamoorthy Y, Chang HY, Singh A, et al.
    BMC Res Notes, 2021 Nov 25;14(1):428.
    PMID: 34823587 DOI: 10.1186/s13104-021-05846-8
    OBJECTIVES: This study assessed changes in behaviors/attitudes related to the COVID-19. With the understanding that behaviors and vaccine decision-making could contribute to global spread of infectious diseases, this study collected several waves of internet-based surveys from individuals in the United States, mainland China, Taiwan, Malaysia, Indonesia, and India. The aims of this study were to (1) characterize the relationship between the epidemiology of disease and changes over time in risk perceptions, knowledge, and attitudes towards hygienic behaviors; (2) examine if risk perceptions affect acceptance of less-than-ideal vaccines; and (3) contrast adherence to public health recommendations across countries which have had different governmental responses to the outbreak.

    DATA DESCRIPTION: We conducted cross-sectional online surveys in six countries from March 2020 to April 2021. By the end of June 2021, there will be six waves of surveys for the United States and China, and four waves for the rest of countries. There are common sets of questions for all countries, however, some questions were adapted to reflect local situations and some questions were designed intentionally for specific countries to capture different COVID-19 mitigation actions. Participants were asked about their adherence towards countermeasures, risk perceptions, and acceptance of a hypothetical vaccine for COVID-19.

    Matched MeSH terms: Internet
  9. Zegarra Rodríguez D, Daniel Okey O, Maidin SS, Umoren Udo E, Kleinschmidt JH
    PLoS One, 2023;18(10):e0286652.
    PMID: 37844095 DOI: 10.1371/journal.pone.0286652
    Recent years have witnessed an in-depth proliferation of the Internet of Things (IoT) and Industrial Internet of Things (IIoT) systems linked to Industry 4.0 technology. The increasing rate of IoT device usage is associated with rising security risks resulting from malicious network flows during data exchange between the connected devices. Various security threats have shown high adverse effects on the availability, functionality, and usability of the devices among which denial of service (DoS) and distributed denial of service (DDoS), which attempt to exhaust the capacity of the IoT network (gateway), thereby causing failure in the functionality of the system have been more pronounced. Various machine learning and deep learning algorithms have been used to propose intelligent intrusion detection systems (IDS) to mitigate the challenging effects of these network threats. One concern is that although deep learning algorithms have shown good accuracy results on tabular data, not all deep learning algorithms can perform well on tabular datasets, which happen to be the most commonly available format of datasets for machine learning tasks. Again, there is also the challenge of model explainability and feature selection, which affect model performance. In this regard, we propose a model for IDS that uses attentive mechanisms to automatically select salient features from a dataset to train the IDS model and provide explainable results, the TabNet-IDS. We implement the proposed model using the TabNet algorithm based on PyTorch which is a deep-learning framework. The results obtained show that the TabNet architecture can be used on tabular datasets for IoT security to achieve good results comparable to those of neural networks, reaching an accuracy of 97% on CIC-IDS2017, 95% on CSE-CICIDS2018 and 98% on CIC-DDoS2019 datasets.
    Matched MeSH terms: Internet
  10. Zaslansky R, Chapman CR, Baumbach P, Bytyqi A, Castro Lopes JM, Chetty S, et al.
    Pain Rep, 2019 01 25;4(1):e705.
    PMID: 30801045 DOI: 10.1097/PR9.0000000000000705
    Introduction: The burden of untreated postoperative pain is high.

    Objective: This study assessed feasibility of using quality improvement (QI) tools to improve management of perioperative pain in hospitals in multiple developing countries.

    Methods: The International Pain Registry and Developing Countries working groups, from the International Association for the Study of Pain (IASP), sponsored the project and PAIN OUT, a QI and research network, coordinated it, and provided the research tools. The IASP published a call about the project on its website. Principal investigators (PIs) were responsible for implementing a preintervention and postintervention study in 1 to 2 surgical wards in their hospitals, and they were free to choose the QI intervention. Trained surveyors used standardized and validated web-based tools for collecting findings about perioperative pain management and patient reported outcomes (PROs). Four processes and PROs, independent of surgery type, assessed effectiveness of the interventions.

    Results: Forty-three providers responded to the call; 13 applications were selected; and PIs from 8 hospitals, in 14 wards, in 7 countries, completed the study. Interventions focused on teaching providers about pain management. Processes improved in 35% and PROs in 37.5% of wards.

    Conclusions: The project proved useful on multiple levels. It offered PIs a framework and tools to perform QI work and findings to present to colleagues and administration. Management practices and PROs improved on some wards. Interpretation of change proved complex, site-dependent, and related to multiple factors. PAIN OUT gained experience coordinating a multicentre, international QI project. The IASP promoted research, education, and QI work.

    Matched MeSH terms: Internet
  11. Zakaria H, Hussain I, Zulkifli NS, Ibrahim N, Noriza NJ, Wong M, et al.
    PLoS One, 2023;18(7):e0283862.
    PMID: 37506072 DOI: 10.1371/journal.pone.0283862
    BACKGROUND AND AIMS: There is growing evidence on the contribution of psychological factors to internet addiction; yet it remains inconsistent and deserves further exploration. The aim of this study was to determine the relationship between the psychological symptoms (Attention Deficit Hyperactivity Disorder (ADHD) symptoms, stress, depression, anxiety and loneliness) and internet addiction (IA) among the university students in Malaysia.

    MATERIALS AND METHODS: A total of 480 students from different faculties in a Malaysian public university participated in this study. They were selected by simple random sampling method. They completed self-administered questionnaires including the Malay Version of Internet Addiction Test (MVIAT)) to measure internet addiction and Adult Self-Report Scale (ASRS) Symptom Checklist, Depression Anxiety Stress Scales (DASS) and UCLA Loneliness Scale (Version 3) to assess for ADHD symptoms, depression, anxiety, stress, and loneliness respectively.

    RESULTS: The prevalence of IA among university students was 33.33% (n = 160). The respondents' mean age was 21.01 ± 1.29 years old and they were predominantly females (73.1%) and Malays (59.4%). Binary logistic regression showed that gender (p = 0.002; OR = 0.463, CI = 0.284-0.754), ADHD inattention (p = 0.003; OR = 2.063, CI = 1.273-3.345), ADHD hyperactivity (p<0.0001; OR = 2.427, CI = 1.495-3.939), stress (p = 0.048; OR = 1.795, CI = 1.004-3.210) and loneliness (p = 0.022; OR = 1.741, CI = 1.084-2.794) were significantly associated with IA.

    CONCLUSION: A third of university students had IA. In addition, we found that those who were at risk of IA were males, with ADHD symptoms of inattention and hyperactivity, who reported stress and loneliness. Preventive strategy to curb internet addiction and its negative sequelae may consider these factors in its development and implementation.

    Matched MeSH terms: Internet
  12. Zaidan AA, Zaidan BB, Kadhem Z, Larbani M, Lakulu MB, Hashim M
    J Med Syst, 2015 Feb;39(2):7.
    PMID: 25631841 DOI: 10.1007/s10916-015-0201-y
    This paper discusses the possibility of promoting public health and implementing educational health services using Facebook. We discuss the challenges and strengths of using such a platform as a tool for public health care systems from two different perspectives, namely, the view of IT developers and that of physicians. We present a new way of evaluating user interactivity in health care systems from tools provided by Facebook that measure statistical traffic in the Internet. Findings show that Facebook is a very promising tool in promoting e-health services in Web 2.0. Results from statistical traffic show that a Facebook page is more efficient than other pages in promoting public health.
    Matched MeSH terms: Internet*
  13. Zaidan AA, Zaidan BB, Al-Haiqi A, Kiah ML, Hussain M, Abdulnabi M
    J Biomed Inform, 2015 Feb;53:390-404.
    PMID: 25483886 DOI: 10.1016/j.jbi.2014.11.012
    Evaluating and selecting software packages that meet the requirements of an organization are difficult aspects of software engineering process. Selecting the wrong open-source EMR software package can be costly and may adversely affect business processes and functioning of the organization. This study aims to evaluate and select open-source EMR software packages based on multi-criteria decision-making. A hands-on study was performed and a set of open-source EMR software packages were implemented locally on separate virtual machines to examine the systems more closely. Several measures as evaluation basis were specified, and the systems were selected based a set of metric outcomes using Integrated Analytic Hierarchy Process (AHP) and TOPSIS. The experimental results showed that GNUmed and OpenEMR software can provide better basis on ranking score records than other open-source EMR software packages.
    Matched MeSH terms: Internet
  14. Yip KC, Lai LL, Ngu ST, Chong RS, Yahya A, See MH
    Support Care Cancer, 2023 Sep 27;31(10):593.
    PMID: 37752312 DOI: 10.1007/s00520-023-08033-6
    Seeking health information is an important step for cancer patients to understand their condition and facilitate treatment. It also helps them deal with the unknown and aid in recovery. Therefore, it is vital to understand the factors that drive health information-seeking behavior. This study aims to achieve that objective in a localized context by surveying 421 breast cancer patients in an urban teaching hospital. The patients were presented with a 5-point questionnaire that explored their demography, health status, information-seeking behavior, and literacy level. The prevalence of health information-seeking initiatives reported was 60%. Patients with higher education (OR 3.31; 95% CI (1.39-7.87), p = 0.01), having their own business or were self-employed (OR 4.68; 95% CI (1.03-21.24), p = 0.046), and in a Medium 40 (M40) income level (OR 2.31; 95% CI (1.09-4.88), p = 0.03) and Top 20 (T20) level were more likely to seek health information. The mean e-Health Literacy Score (eHEALS) was 28.01 ± 5.0, with healthcare professionals having the highest level of trust (mean 4.22 ± 0.79) and most useful resource score (mean 4.21 ± 0.78). Even though Google was the most popular online search tool used by respondents, most of them seldom (23.77%) or had never (34.34%) discussed the online information they found with healthcare professionals. In conclusion, it is still best for patients to appraise the sought-after information with experts to avoid misinformation and treatment delay.
    Matched MeSH terms: Internet
  15. Yeo JG, Wasser M, Kumar P, Pan L, Poh SL, Ally F, et al.
    Nat Biotechnol, 2020 06;38(6):679-684.
    PMID: 32440006 DOI: 10.1038/s41587-020-0532-1
    Matched MeSH terms: Internet
  16. Yasin SM, Ismail N, Noor NM, Mohd Azman MS, Taib H, Jusop JM, et al.
    Asian Pac J Cancer Prev, 2013;14(1):303-8.
    PMID: 23534742
    BACKGROUND: Medical students' views may provide some direction for future policy considerations.

    AIM: The aim of this study was to assess gender differences in future doctors' receptiveness to currently implemented anti-smoking messages and the effectiveness of those messages.

    MATERIALS AND METHODS: We administered a questionnaire to all students at a medical university in Malaysia, asking how frequently they noted anti- smoking policies, anti-smoking campaigns, and anti-smoking messages in schools. In addition, the questionnaire investigated most effective methods to convey these messages.

    RESULTS: A total of 522 (59.7%) students responded. Students were least likely to approve of total bans on cigarettes and increasing the price of cigarettes, and most likely to approve of bans on use of cigarettes in public places and sales to individuals less than 16 years old. Approval of total bans on cigarettes was more common in female students than in males OR=0.39 (95%CI: 0.18- 0.86). Furthermore, compared to the female students, the male students thought that printed media; OR=2.32 (95%CI: 1.31-4.10), radio; OR=1.93 (95%CI: 1.15-3.22) and the internet; OR=1.96 (95%CI: 1.15-3.33) were very effective at delivering anti-smoking messages.

    CONCLUSIONS: Gender differences existed in the future doctors' perception of the effectiveness of anti-smoking initiatives. Taking this gender difference into account may increase the receipt of anti-smoking messages in adolescents.
    Matched MeSH terms: Internet
  17. Yao K, Uedo N, Muto M, Ishikawa H, Cardona HJ, Filho ECC, et al.
    EBioMedicine, 2016 Jul;9:140-147.
    PMID: 27333048 DOI: 10.1016/j.ebiom.2016.05.016
    BACKGROUND: In many countries, gastric cancer is not diagnosed until an advanced stage. An Internet-based e-learning system to improve the ability of endoscopists to diagnose gastric cancer at an early stage was developed and was evaluated for its effectiveness.

    METHODS: The study was designed as a randomized controlled trial. After receiving a pre-test, participants were randomly allocated to either an e-learning or non-e-learning group. Only those in the e-learning group gained access to the e-learning system. Two months after the pre-test, both groups received a post-test. The primary endpoint was the difference between the two groups regarding the rate of improvement of their test results.

    FINDINGS: 515 endoscopists from 35 countries were assessed for eligibility, and 332 were enrolled in the study, with 166 allocated to each group. Of these, 151 participants in the e-learning group and 144 in the non-e-learning group were included in the analysis. The mean improvement rate (standard deviation) in the e-learning and non-e-learning groups was 1·24 (0·26) and 1·00 (0·16), respectively (P<0·001).

    INTERPRETATION: This global study clearly demonstrated the efficacy of an e-learning system to expand knowledge and provide invaluable experience regarding the endoscopic detection of early gastric cancer (R000012039).

    Matched MeSH terms: Internet
  18. Yang YN, Su JA, Pimsen A, Chen JS, Potenza MN, Pakpour AH, et al.
    BMC Psychiatry, 2023 Nov 08;23(1):819.
    PMID: 37940885 DOI: 10.1186/s12888-023-05210-z
    BACKGROUND: The Assessment of Criteria for Specific Internet-use Disorders (ACSID-11) is a consistent and comprehensive instrument to assess symptoms of specific internet-use disorders including those related to gaming, shopping, pornography use disorder, social networks use and gambling considering criteria in the eleventh revision of the International Classification of Diseases (ICD-11). However, to date, there is little evidence supporting instruments assessing major types of specific internet use disorders in Thailand. The aim of this present study was to assess the psychometric properties of the ACSID-11 among Thai young adults.

    METHODS: A total of 612 participants were recruited. A confirmatory factor analysis (CFA) examined construct validity of the ACSID-11. Cronbach's α and McDonald's ω were used to assess reliability of the ACSID-11. Pearson correlations examined relationships between ACSID-11 domains and Internet Gaming Disorder Scale-Short Form (IGDS9-SF) scores.

    RESULTS: The CFA supported validity of the Thai version of the ACSID-11 and a four-factor structure. Specific domains of the Thai ACSID-11, particularly gaming, were positively and significantly correlated with IGDS9-SF scores.

    CONCLUSIONS: Data indicate that the Thai version of the ACSID-11 is a valid and reliable instrument to assess major types of specific internet use disorders. Additional studies are needed to further examine the validity and reliability of the Thai ACSID-11.

    Matched MeSH terms: Internet
  19. Yang HK, Ji J, Han SU, Terashima M, Li G, Kim HH, et al.
    Lancet Gastroenterol Hepatol, 2021 02;6(2):120-127.
    PMID: 33253659 DOI: 10.1016/S2468-1253(20)30315-0
    BACKGROUND: Peritoneal recurrence of gastric cancer after curative surgical resection is common and portends a poor prognosis. Early studies suggest that extensive intraoperative peritoneal lavage (EIPL) might reduce the risk of peritoneal recurrence and improve survival. We aimed to evaluate the survival benefit of EIPL in patients with gastric cancer undergoing curative gastrectomy.

    METHODS: In this open-label, phase 3, multicentre randomised trial, patients aged 21-80 years with cT3 or cT4 gastric cancer undergoing curative resection were enrolled at 22 centres from South Korea, China, Japan, Malaysia, Hong Kong, and Singapore. Patients were randomly assigned to receive surgery and EIPL (EIPL group) or surgery alone (standard surgery group) via a web-based programme in random permuted blocks in varying block sizes of four and six, assuming equal allocation between treatment groups. Randomisation was stratified according to study site and the sequence was generated using a computer program and concealed until the interventions were assigned. After surgery in the EIPL group, peritoneal lavage was done with 1 L of warm (42°C) normal 0·9% saline followed by complete aspiration; this procedure was repeated ten times. The primary endpoint was overall survival. All analyses were done assuming intention to treat. This trial is registered with ClinicalTrials.gov, NCT02140034.

    FINDINGS: Between Sept 16, 2012, and Aug 3, 2018, 800 patients were randomly assigned to the EIPL group (n=398) or the standard surgery group (n=402). Two patients in the EIPL group and one in the standard surgery group withdrew from the trial immediately after randomisation and were excluded from the intention-to-treat analysis. At the third interim analysis on Aug 28, 2019, the predictive probability of overall survival being significantly higher in the EIPL group was less than 0·5%; therefore, the trial was terminated on the basis of futility. With a median follow-up of 2·4 years (IQR 1·5-3·0), the two groups were similar in terms of overall survival (hazard ratio 1·09 [95% CI 0·78-1·52; p=0·62). 3-year overall survival was 77·0% (95% CI 71·4-81·6) for the EIPL group and 76·7% (71·0-81·5) for the standard surgery group. 60 adverse events were reported in the EIPL group and 41 were reported in the standard surgery group. The most common adverse events included anastomotic leak (ten [3%] of 346 patients in the EIPL group vs six [2%] of 362 patients in the standard surgery group), bleeding (six [2%] vs six [2%]), intra-abdominal abscess (four [1%] vs five [1%]), superficial wound infection (seven [2%] vs one [<1%]), and abnormal liver function (six [2%] vs one [<1%]). Ten of the reported adverse events (eight in the EIPL group and two in the standard surgery group) resulted in death.

    INTERPRETATION: EIPL and surgery did not have a survival benefit compared with surgery alone and is not recommended for patients undergoing curative gastrectomy for gastric cancer.

    FUNDING: National Medical Research Council, Singapore.

    Matched MeSH terms: Internet
  20. Yang C, Guadamuz TE, Lim SH, Koe S, Wei C
    LGBT Health, 2016 Apr;3(2):168-74.
    PMID: 26789393 DOI: 10.1089/lgbt.2014.0041
    We explored factors associated with alcohol use before or during sex among a sample of 10,861 men who have sex with men (MSM) in Asia who were recruited online for the study. Multinomial logistic regression analysis indicated that having sex under the influence of alcohol was associated with having multiple male partners, seeking partners primarily through gay bar/gym/dance party/friends, selling sex and using multiple drugs during the past 6 months, and unprotected anal sex. More efforts are needed to better assess alcohol use and misuse among MSM in Asia and understand contextual influences on alcohol use and HIV-related behaviors in order to implement culturally-specific interventions.
    Matched MeSH terms: Internet
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