Displaying publications 81 - 100 of 3549 in total

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  1. Amran MS, Roslan MZ, Sommer W
    Int J Adolesc Med Health, 2024 Aug 01;36(4):419-423.
    PMID: 38997216 DOI: 10.1515/ijamh-2024-0047
    PURPOSE OF REVIEW: The current rise of digital technologies is causing adolescents to spend more time on their digital devices, especially since the lockdown period of the pandemic. Adolescents are among those who are affected by lifestyle changes and are at risk of digital addiction due to the overuse of digital technologies. This opinion paper discusses the possible risk of loneliness among adolescents due to the overuse of digital devices. In this article, we would like to propose the concept of digital abuse and its risk of loneliness, as well as discuss some proposed solutions by referring to recent statistics and research evidence to reduce digital abuse among adolescents.

    RECENT FINDINGS: Evidence from previous studies highlights the association between digital addiction and loneliness among adolescents. Overusing digital devices among adolescents is also associated with various physical and psychological side effects.

    SUMMARY: Recent findings support the rapid rise of digital device usage among adolescents and its contributions to digital use. More research is needed to support existing interventions, provide early screening, and combat digital addiction to protect adolescents from the risks of loneliness due to the overuse of digital devices.

    Matched MeSH terms: Risk Factors
  2. Venketasubramanian N, Tan KS, Navarro JC, Pandian JD, Lee TH
    Cerebrovasc Dis Extra, 2024;14(1):116-117.
    PMID: 39191232 DOI: 10.1159/000540759
    Matched MeSH terms: Risk Factors
  3. Jane Ling MY, Ahmad N, Noor Aizuddin A, Ja'afar MH
    PLoS One, 2024;19(7):e0308152.
    PMID: 39078862 DOI: 10.1371/journal.pone.0308152
    BACKGROUND: Risk perception plays important role in motivating preventive health behaviours. The objective of this systematic review was to explore the level of diabetes risk perception among individuals with and without apparent risk for diabetes, and to consider the effect of environmental factors on the level of diabetes risk perception.

    METHODS: This systematic review was reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. The literature search was carried out through PubMed, Web of Science, and Scopus. Original articles written in English and published between 2013 and 2023 were considered. Study quality was appraised using the Mixed Methods Appraisal Tool. Narrative synthesis was undertaken due to methodological heterogeneity in the included studies.

    RESULTS: A total of 13 cross-sectional studies, two randomized controlled trials, two cohort studies, two mixed methods studies and one quasi-experiment with a control group were included. An overall low level of diabetes risk perception was reported particularly in those without apparent risk for diabetes. The 20 included studies reported widely varied measures for calculating diabetes risk perception. The influence of environmental factors on the risk perception of diabetes was highlighted.

    LIMITATIONS: The use of study-specific and non-validated measures in the included studies weakens the authors' ability to compare across studies. The role of language and publication bias within this systematic review should be acknowledged as we included only English-language studies published in peer-reviewed journals. Another limitation is the exclusion of dimensions of risk perception such as optimistic bias as search terms.

    CONCLUSION: The overall low risk perception of diabetes calls for urgent need of public health interventions to increase the risk perception of diabetes. In the future, researchers should ensure the validity and reliability of the measures being used. The influence of environmental factors on the diabetes risk perception indicates that diabetes preventive interventions targeting environmental factors may be effective in increasing the risk perception of diabetes.

    Matched MeSH terms: Risk Factors
  4. Turana Y, Tengkawan J, Chia YC, Nathaniel M, Wang JG, Sukonthasarn A, et al.
    J Clin Hypertens (Greenwich), 2021 Mar;23(3):513-521.
    PMID: 33190399 DOI: 10.1111/jch.14099
    Stroke is the primary cause of disability and vascular death worldwide, including Asia. Asian characteristics that differ from the West lead to higher stroke incidence. Stroke epidemiology studies in Asia have shown varying levels of mortality, incidence, prevalence, and burden of disease. Hypertension is the most prevalent risk factor found in Asia. Besides ethnicity that is associated with stroke incidence, both systolic blood pressure, diastolic blood pressure, and blood pressure variability are positively correlated with stroke incidence. Post-stroke cognitive impairment is one of the sequelae that affect one-third of stroke survivors and has become a significant public health concern that is often neglected despite its increasing prevalence. Therefore, it is very important to prevent recurrence by treating stroke optimally and effectively. Increasing awareness and treatment adherence to hypertension, the leading risk factor for stroke, became the main goal in several countries in Asia.
    Matched MeSH terms: Risk Factors
  5. Masdor NA, Kandayah T, Amsah N, Othman R, Hassan MR, Rahim SSSA, et al.
    PLoS One, 2023;18(8):e0285533.
    PMID: 37590252 DOI: 10.1371/journal.pone.0285533
    BACKGROUND: Schistosomiasis is a parasitic infection that causes significant public health problems in tropical countries. Schistosoma haematobium species are blamable for causing urinary schistosomiasis. The infected person, specifically children, may be carrying the disease. This systematic review aimed to identify the current knowledge of urinary Schistosmiasis in children or USC on its epidemiology, risk factors, and challenges to spread the understanding of controlling the disease and reducing the complications.

    METHOD: In November 2021, a systematic computer-aided literature review was conducted using PubMed, SCOPUS and Web of Science, following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) criteria. The results were updated in February 2022. We only used papers that have at least the abstract available in English. Relevant articles were screened, duplicates were deleted, eligibility criteria were applied, and studies that met the criteria were reviewed. The keywords Human Schistosoma infections, prevalence, risk factors and challenges were included. The protocol for the review was registered with PROSPERO (registration number CRD42022311609). Pooled prevalence rates were calculated using the programme R version 4.2.1. Heterogeneity was assessed using the I2 statistic and p-value. A narrative approach was used to describe risk factors and challenges. Studies were selected and finalised based on the review question to prioritise. The quality of the included studies was assessed using the Mixed-Method Appraisal Tool (MMAT).

    RESULTS: A total of 248 publications met the requirements for inclusion. Fifteen articles were included in this review, with the result showing high heterogeneity. The pooled prevalence of urinary schistosomiasis in children is 4% (95% confidence interval (CI)). Age, poor socioeconomic status, education, exposure to river water, and poor sanitation are the risk factors identified in this review. Challenges are faced due to limitations of clean water, lack of water resources, and poor hygiene.

    CONCLUSION: Modifiable risk factors such as poor knowledge and practices must be addressed immediately. Healthcare providers and schools could accomplish engaging in practical promotional activities. Communicating the intended messages to raise community awareness of urinary schistosomiasis is critical.

    Matched MeSH terms: Risk Factors
  6. King TL, Tiong LL, Abdul Aziz Z, Law WC
    J Stroke Cerebrovasc Dis, 2023 Sep;32(9):107230.
    PMID: 37478524 DOI: 10.1016/j.jstrokecerebrovasdis.2023.107230
    OBJECTIVES: The study aimed to determine the prevalence of untreated pharmacologically modifiable cardiovascular risk factors (PMRF) among patients with ischaemic stroke and the association with in-hospital mortality and functional outcome.

    METHODS: We analysed the data from ischaemic stroke cases admitted to Sarawak General Hospital between June 2013 and June 2021. We matched the underlying PMRFs with prior medications and categorised them as treated, untreated, or no PMRF. We calculated the prevalence and assessed the association between untreated PMRFs and in-hospital mortality or favourable functional outcome (FFO) at discharge, which was adjusted for age, sex, and other covariates in multivariable models.

    RESULTS: We included 1963 patients [65.4% male, 59.8 (SD 13.4) years]; 43.8% who had at least one untreated PMRF had triple the odds of in-hospital mortality [adjusted OR (aOR) 2.86, (95%CI 1.44, 5.70)], whereas 30.2% who had all PMRFs treated showed no significant association. Untreated hypertension [aOR 2.19 (95%CI 1.21, 3.98)], treated [aOR 3.02 (95%CI 1.32, 6.92)], and untreated atrial fibrillation [aOR 1.89 (95%CI 1.18, 3.03)] were significantly associated with more in-hospital death, whereas treated prior stroke was associated with fewer in-hospital death [aOR 0.31 (95%CI 0.11, 0.84)]. Treated diabetes [aOR 0.66 (95%CI 0.49, 0.88)] and untreated prior stroke [aOR 0.53 (95%CI 0.33, 0.83)] were associated with fewer FFO.

    CONCLUSION: The high prevalence of untreated underlying PMRFs was significantly associated with poorer outcomes among Malaysian patients with ischaemic stroke in Sarawak. Efforts are needed to promote early screening and treatment of cardiovascular risk factors to reduce the burdens and improve stroke outcomes in this region.

    Matched MeSH terms: Risk Factors
  7. Abdelhafez MM, Ahmed KA, Daud MN, Eldiasty AM, Amri MF, Jeffree MS, et al.
    Afr J Reprod Health, 2023 May;27(5):81-94.
    PMID: 37584933 DOI: 10.29063/ajrh2023/v27i5.8
    This review aims to provide the mother carers with the most recent evidence-based guidelines in the context of managing of pregnancy-associated VTE, where an extensive search through the medical journals addressing the topic including the medical database such as Pubmed, Medline, Sience direct,Embase and others using the title and key-words in order to gather the most concerned as well as the up-to-date publications concerned with the problem under research, the search resulted in recognising pregnancy as a significant risk factor for the development of VTE, both during the prenatal and postnatal periods, with an estimated increased likelihood risk of five and sixty times, respectively and concluded that venous thromboembolism (VTE) is one of the leading causes of maternal mortality hence, all pregnant women should be assessed for the risk of developing the condition as early as possible (when scheduling a booking antenatal appointment) or even in the pre-pregnancy clinic.
    Matched MeSH terms: Risk Factors
  8. Mohd Faizal AS, Hon WY, Thevarajah TM, Khor SM, Chang SW
    Med Biol Eng Comput, 2023 Oct;61(10):2527-2541.
    PMID: 37199891 DOI: 10.1007/s11517-023-02841-y
    Acute myocardial infarction (AMI) or heart attack is a significant global health threat and one of the leading causes of death. The evolution of machine learning has greatly revamped the risk stratification and death prediction of AMI. In this study, an integrated feature selection and machine learning approach was used to identify potential biomarkers for early detection and treatment of AMI. First, feature selection was conducted and evaluated before all classification tasks with machine learning. Full classification models (using all 62 features) and reduced classification models (using various feature selection methods ranging from 5 to 30 features) were built and evaluated using six machine learning classification algorithms. The results showed that the reduced models performed generally better (mean AUPRC via random forest (RF) algorithm for recursive feature elimination (RFE) method ranges from 0.8048 to 0.8260, while for random forest importance (RFI) method, it ranges from 0.8301 to 0.8505) than the full models (mean AUPRC via RF: 0.8044). The most notable finding of this study was the identification of a five-feature model that included cardiac troponin I, HDL cholesterol, HbA1c, anion gap, and albumin, which had achieved comparable results (mean AUPRC via RF: 0.8462) as to the models that containing more features. These five features were proven by the previous studies as significant risk factors for AMI or cardiovascular disease and could be used as potential biomarkers to predict the prognosis of AMI patients. From the medical point of view, fewer features for diagnosis or prognosis could reduce the cost and time of a patient as lesser clinical and pathological tests are needed.
    Matched MeSH terms: Risk Factors
  9. Kuan YC, How SH, Azian AA, Liam CK, Ng TH, Fauzi AR
    Ann Thorac Med, 2012 Apr;7(2):69-73.
    PMID: 22558010 DOI: 10.4103/1817-1737.94522
    Prolonged use of oral corticosteroids is a risk factor for osteoporosis. However, the effect of inhaled corticosteroids (ICS) on bone mineral density (BMD) of asthmatic patients remains controversial.
    Matched MeSH terms: Risk Factors
  10. Mensah GA, Fuster V, Murray CJL, Roth GA, Global Burden of Cardiovascular Diseases and Risks Collaborators
    J Am Coll Cardiol, 2023 Dec 19;82(25):2350-2473.
    PMID: 38092509 DOI: 10.1016/j.jacc.2023.11.007
    Matched MeSH terms: Risk Factors
  11. Lim HM, Ng CJ, Dunn AG, Abdullah A
    Fam Pract, 2023 Dec 22;40(5-6):796-804.
    PMID: 36994973 DOI: 10.1093/fampra/cmad034
    OBJECTIVES: Online health information (OHI) has been shown to influence patients' health decisions and behaviours. OHI about statins has created confusion among healthcare professionals and the public. This study explored the views and experiences of patients with high cardiovascular risk on OHI-seeking about statins and how OHI influenced their decision.

    DESIGN: This was a qualitative study using semi-structured in-depth interviews. An interpretive description approach with thematic analysis was used for data analysis.

    SETTING: An urban primary care clinic in Kuala Lumpur, Malaysia.

    PARTICIPANTS: Patients aged 18 years and above who had high cardiovascular risk and sought OHI on statins were recruited.

    RESULTS: A total of 20 participants were interviewed. The age of the participants ranged from 38 to 74 years. Twelve (60%) participants took statins for primary cardiovascular disease prevention. The duration of statin use ranged from 2 weeks to 30 years. Six themes emerged from the data analysis: (i) seeking OHI throughout the disease trajectory, (ii) active and passive approaches to seeking OHI, (iii) types of OHI, (iv) views about statin-related OHI, (v) influence of OHI on patients' health decisions, and (vi) patient-doctor communication about OHI.

    CONCLUSION: This study highlights the changing information needs throughout patient journeys, suggesting the opportunity to provide needs-oriented OHI to patients. Unintentional passive exposure to OHI appears to have an influence on patients' adherence to statins. The quality of patient-doctor communication in relation to OHI-seeking behaviour remains a critical factor in patient decision-making.

    Matched MeSH terms: Risk Factors
  12. Franklin F, Rajamanikam A, Phang WK, Raju CS, Gill JS, Francis B, et al.
    Sci Rep, 2024 Jan 03;14(1):385.
    PMID: 38172146 DOI: 10.1038/s41598-023-50299-7
    The aetiology of schizophrenia is multifactorial, and the identification of its risk factors are scarce and highly variable. A cross-sectional study was conducted to investigate the risk factors associated with schizophrenia among Malaysian sub-population. A total of 120 individuals diagnosed with schizophrenia (SZ) and 180 non-schizophrenic (NS) individuals participated in a questionnaire-based survey. Data of complete questionnaire responses obtained from 91 SZ and 120 NS participants were used in statistical analyses. Stool samples were obtained from the participants and screened for gut parasites and fungi using conventional polymerase chain reaction (PCR). The median age were 46 years (interquartile range (IQR) 37 to 60 years) and 35 years (IQR 24 to 47.75 years) for SZ and NS respectively. Multivariable binary logistic regression showed that the factors associated with increased risk of SZ were age, sex, unemployment, presence of other chronic ailment, smoking, and high dairy consumption per week. These factors, except sex, were positively associated with the severity of SZ. Breastfed at infancy as well as vitamin and supplement consumption showed a protective effect against SZ. After data clean-up, fungal or parasitic infections were found in 98% (39/42). of SZ participants and 6.1% (3/49) of NS participants. Our findings identified non-modifiable risk factors (age and sex) and modifiable lifestyle-related risk factors (unemployment, presence of other chronic ailment, smoking, and high dairy consumption per week) associated with SZ and implicate the need for medical attention in preventing fungal and parasitic infections in SZ.
    Matched MeSH terms: Risk Factors
  13. Idris IB, Azit NA, Abdul Ghani SR, Syed Nor SF, Mohammed Nawi A
    Ind Health, 2021 Aug 17;59(3):146-160.
    PMID: 33551443 DOI: 10.2486/indhealth.2020-0204
    The increasing involvement of women in the paid-labor market has led to multifactorial exposure towards the development of noncommunicable diseases (NCDs). This review aims to identify the prevalence of NCDs and the associated risk factors among working women. A systematic review was performed using PubMed and Scopus databases. Twelve articles published between 2015 and 2019 satisfied the inclusion and exclusion criteria and were selected for qualitative synthesis. Among working women, the prevalence of NCDs was as follows: coronary heart disease, 0.3%-5.9%; metabolic syndrome, 52.0%; diabetes mellitus, 8.9%-16.0%; hypertension, 16.6%-66.4%; non-skin cancer, 3.7%. The prevalence of NCD risk factors was as follows: overweight/obesity, 33.8%-77.0%; low physical activity, 51.0%; unhealthy diet, 44.9%-69.9%; dyslipidemia, 27.8%-44.0%. The factors associated with NCDs were long working hours, double work burden, and stress. NCD is an important burden of working women that will lead to reduced work quality and affect family well-being. Disease prevention approaches, such as the intervention of common workplace risk factors and specific work schedule design, are among the strategies for improving the situation.
    Matched MeSH terms: Risk Factors
  14. Welsh P, Al Zabiby A, Byrne H, Benbow HR, Itani T, Farries G, et al.
    Atherosclerosis, 2024 Feb;389:117437.
    PMID: 38219651 DOI: 10.1016/j.atherosclerosis.2023.117437
    BACKGROUND AND AIMS: Elevated lipoprotein(a) [Lp(a)] is a genetic driver for atherosclerotic cardiovascular disease (ASCVD). We aimed to provide novel insights into the associated risk of elevated versus normal Lp(a) levels on major adverse cardiovascular events (MACE) in an incident ASCVD cohort.

    METHODS: This was an observational cohort study of incident ASCVD patients. MACE counts and incidence rates (IRs) per 100-person-years were reported for patients with normal (<65 nmol/L) and elevated (>150 nmol/L) Lp(a) within the first year after incident ASCVD diagnosis and overall follow-up. Cox proportional hazard models quantified the risk of MACE associated with a 100 nmol/L increase in Lp(a).

    RESULTS: The study cohort included 32,537 incident ASCVD patients; 5204 with elevated and 22,257 with normal Lp(a). Of those with elevated Lp(a), 41.2% had a subsequent MACE, versus 35.61% with normal Lp(a). Within the first year of follow-up, the IRs of composite MACE and coronary revascularisation were significantly higher (p < 0.001) in patients with elevated versus normal Lp(a) (IR difference 6.79 and 4.66). This trend was also observed in the overall follow-up (median 4.7 years). Using time to first subsequent MACE, a 100 nmol/L increase in Lp(a) was associated with an 8.0% increased risk of composite MACE, and 18.6% increased risk of coronary revascularisation during the overall follow-up period.

    CONCLUSIONS: The association of elevated Lp(a) with increased risk of subsequent MACE and coronary revascularisation highlights a population who may benefit from earlier and more targeted intervention for cardiovascular risk including Lp(a), particularly within the first year after ASCVD diagnosis. Proactive Lp(a) testing as part of routine clinical practice can help identify and better manage these higher-risk individuals.

    Matched MeSH terms: Risk Factors
  15. Chauhan K, Dave VP, de Ribot FM, Agrawal R, Sallam AB, Andayani G, et al.
    Surv Ophthalmol, 2025;70(1):75-85.
    PMID: 39222801 DOI: 10.1016/j.survophthal.2024.08.008
    Retinal detachment following ocular trauma (TrRD) is one of the leading causes of blindness and visual impairment worldwide. In the absence of a standardized definition, the diagnosis of traumatic retinal detachment relies on identifying a history of trauma that precedes the detachment. There is an increasing pool of data regarding the etiology and epidemiology of TrRD.Various causes of TrRD mentioned in the literature include work-related eye trauma in construction and manufacturing industries, sports injuries, explosive eye injuries, road traffic accidents, and intraocular foreign bodies. Although there is extensive literature on post-trauma retinal detachments, a comprehensive discussion of its pathogenesis, management, outcomes, and complications is lacking. We offer an in-depth review of the epidemiology, risk factors, pathogenesis, diagnosis, management, and outcomes of TrRD based on the current literature.
    Matched MeSH terms: Risk Factors
  16. Wu W, Ding D, Zhao Q, Xiao Z, Luo J, Ganguli M, et al.
    Alzheimers Dement, 2023 Jan;19(1):107-122.
    PMID: 35290713 DOI: 10.1002/alz.12628
    INTRODUCTION: Though consistent evidence suggests that physical activity may delay dementia onset, the duration and amount of activity required remains unclear.

    METHODS: We harmonized longitudinal data of 11,988 participants from 10 cohorts in eight countries to examine the dose-response relationship between late-life physical activity and incident dementia among older adults.

    RESULTS: Using no physical activity as a reference, dementia risk decreased with duration of physical activity up to 3.1 to 6.0 hours/week (hazard ratio [HR] 0.88, 95% confidence interval [CI] 0.67 to 1.15 for 0.1 to 3.0 hours/week; HR 0.68, 95% CI 0.52 to 0.89 for 3.1 to 6.0 hours/week), but plateaued with higher duration. For the amount of physical activity, a similar pattern of dose-response curve was observed, with an inflection point of 9.1 to 18.0 metabolic equivalent value (MET)-hours/week (HR 0.92, 95% CI 0.70 to 1.22 for 0.1 to 9.0 MET-hours/week; HR 0.70, 95% CI 0.53 to 0.93 for 9.1 to 18.0 MET-hours/week).

    DISCUSSION: This cross-national analysis suggests that performing 3.1 to 6.0 hours of physical activity and expending 9.1 to 18.0/MET-hours of energy per week may reduce dementia risk.

    Matched MeSH terms: Risk Factors
  17. Alshahrani M, Stephan BC, Siervo M, Sabatini S, Tang EYH, Brain J, et al.
    Alzheimers Dement, 2024 Dec;20 Suppl 7(Suppl 7):e088573.
    PMID: 39784815 DOI: 10.1002/alz.088573
    BACKGROUND: Most people with dementia reside in low- and middle-income countries (LMICs) where resources, research, services, and support are often very limited. Research into dementia risk prediction is scarce in LMIC settings, and those prediction models developed in high-income countries generally do not transport well to LMICs. This suggesting a dire need for LMIC specific dementia risk models.

    METHOD: We synthesised the evidence from our three previous systematic reviews (covering all literature from inception to 2023 from PubMed, Embase, and PsychInfo) on dementia risk prediction modelling. The aim was to identify models that have been specifically developed and tested specifically in LMICs. There were no language or time restrictions applied.

    RESULT: To date, over 50 different dementia risk prediction models have been developed and tested with only 7 models reported from two LMICs including five studies from China and two studies from Mexico. The models incorporated variables typically linked to dementia including demographics (e.g., age, sex, education), health (e.g., diabetes, hypertension, heart disease) and lifestyle (e.g., smoking and alcohol) variables. The 7 models also have varying degrees of predictive accuracy (c-statistic range 0.65 [95%CI: 0.64-0.67] to 0.92 [95%CI: 0.88-0.95]) and none has undergone external validation. These models have been developed using traditional statistical approaches including Cox and Logistic Regression. Further, model development has not considered factors such as socioeconomic status, literacy, access to healthcare, diet, stress, pollution, and workplace hazards that may be crucial in predicting dementia risk in LMICs.

    CONCLUSION: There is an urgent need to create context-specific dementia prediction models to inform the development of risk reduction and preventative interventions in LMICs where dementia case numbers are greatest. Dementia risk model development and testing need to be extended to LMICs across different regions (e.g., Asia, Middle East, Global South, Africa) and income levels (e.g., low, lower-middle, and upper-middle income).

    RECOMMENDATIONS: Greater investment is needed into understanding dementia, and its risk factors in LMICs to inform the development of risk mitigation programs. Research should focus on developing accurate, resource-conscious models with affordable and obtainable variables for identifying those individuals likely to benefit the most from interventions targeting risk reduction.

    Matched MeSH terms: Risk Factors
  18. Zhou B, Mui LG, Li J, Yang Y, Hu J
    Nurse Educ Pract, 2024 Feb;75:103874.
    PMID: 38244336 DOI: 10.1016/j.nepr.2024.103874
    AIM: To delineate the prevalence of smartphone addiction among nursing students. Further, to identify associated harms and underlying risk factors based on established theoretical models.

    BACKGROUND: Smartphones have become indispensable tools for students. However, excessive use can lead to smartphone addiction, causing physiological, psychological and social harm. Nursing students represent a unique population whose smartphone use may differ from other disciplines due to clinical training demands.

    METHODS: A scoping review was conducted following the Arksey and O'Malley framework. Seven databases were systematically searched from inception to August 2023. Inclusion criteria encompassed original research on smartphone addiction, harms and risks among nursing students. Data were extracted and thematically synthesized.

    RESULTS: Studies (n=39) met inclusion criteria, representing 15 countries. Rates of smartphone addiction among nursing students ranged from 19% to 72%, averaging 40-50%. Incorporated into Engel's biopsychosocial models, the harm is emphasized across individual inclinations, emotional aspects, cognitive processes and executive functions. Physiological harms include sleep disruption, vision concerns,other physiological concerns. psychologically, addiction correlated with increased anxiety and depression,decline in self-esteem, learning and attention and other psychological concerns. socially, it encompasses harms such as interpersonal relationships challenges, career development and decline in social abilities. The I-PACE model identifies various risk factors for smartphone addiction among nursing students, including personal factors such as interpersonal relationship anxiety and perceived academic pressure, affective factors like high stress and learning burnout, cognitive factors such as the need for online social interaction and low perception of social support, as well as executive factors like extended usage duration, poor self-control and usage before sleep.

    CONCLUSION: Smartphone addiction among nursing students presents tangible harms. A proposed theoretical model integrating established frameworks provides avenues to better comprehend addiction genesis and potential intervention strategies. Given addiction's multi-factorial nature, future research investigating harm mitigation through optimizing predisposing, precipitating and perpetuating factors is warranted.

    Matched MeSH terms: Risk Factors
  19. Sha'ari NI, Ismail A, Abdul Aziz AF, Suddin LS, Azzeri A, Sk Abd Razak R, et al.
    BMC Public Health, 2024 Jul 10;24(1):1846.
    PMID: 38987743 DOI: 10.1186/s12889-024-19300-4
    BACKGROUND: A growing proportion of people experience incomplete recovery months after contracting coronavirus disease 2019 (COVID-19). These COVID-19 survivors develop a condition known as post-COVID syndrome (PCS), where COVID-19 symptoms persist for > 12 weeks after acute infection. Limited studies have investigated PCS risk factors that notably include pre-existing cardiovascular diseases (CVD), which should be examined considering the most recent PCS data. This review aims to identify CVD as a risk factor for PCS development in COVID-19 survivors.

    METHODS: Following the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) checklist, systematic literature searches were performed in the PubMed, Scopus, and Web of Science databases from the earliest date available to June 2023. Data from observational studies in English that described the association between CVD and PCS in adults (≥ 18 years old) were included. A minimum of two authors independently performed the screening, study selection, data extraction, data synthesis, and quality assessment (Newcastle-Ottawa Scale). The protocol of this review was registered under PROSPERO (ID: CRD42023440834).

    RESULTS: In total, 594 studies were screened after duplicates and non-original articles had been removed. Of the 11 included studies, CVD including hypertension (six studies), heart failure (three studies), and others (two studies) were significantly associated with PCS development with different factors considered. The included studies were of moderate to high methodological quality.

    CONCLUSION: Our review highlighted that COVID-19 survivors with pre-existing CVD have a significantly greater risk of developing PCS symptomology than survivors without pre-existing CVD. As heart failure, hypertension and other CVD are associated with a higher risk of developing PCS, comprehensive screening and thorough examinations are essential to minimise the impact of PCS and improve patients' disease progression.

    Matched MeSH terms: Risk Factors
  20. Malvi A, Shabil M, Khatib MN, R R, Kaur M, Srivastava M, et al.
    J Clin Hypertens (Greenwich), 2025 Jan;27(1):e14977.
    PMID: 39835844 DOI: 10.1111/jch.14977
    Sex hormone-binding globulin (SHBG) regulates sex hormone availability and is influenced by metabolic factors. Variations in SHBG levels during pregnancy may affect the development of hypertensive disorders such as gestational hypertension (GH) and preeclampsia (PE). This systematic review and meta-analysis explores the potential of SHBG as a biomarker for predicting GH and PE. A search of PubMed, Embase, and Web of Science was conducted to identify studies evaluating the association between SHBG levels and the risk of HDP, including GH and PE. Inclusion criteria encompassed observational studies reporting quantitative risk estimates (risk ratios, odds ratios, or hazard ratios) for SHBG levels. Results were pooled using a random-effects meta-analysis in R software (V 4.4), with the I2 statistic assessing heterogeneity. Eight studies were included in the systematic review from a total of 592 screened records. The association between SHBG levels and the risk of any HDP showed a pooled OR of 0.875 (95% CI: 0.772-0.993), for PE 0.890 (95% CI: 0.767-1.032), and for GH 0.729 (95% CI: 0.442-1.205), suggesting significant association between SHBG and HDP. Sensitivity analysis validated the robustness of the findings. This meta-analysis found potential significant association between higher SHBG levels and risk of HDP. Further high-quality research is required to better understand the role of SHBG in pregnancy-related hypertensive disorders. Future studies should consider larger sample sizes, more precise measurement techniques, and explore potential confounding factors to clarify the potential utility of SHBG as a biomarker for predicting GH and PE.
    Matched MeSH terms: Risk Factors
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