ABSTRACT
Air pollution has become a major global threat to human health. Urbanization and industrialization over the past few decades have increased the air pollution. Plausible connections have been made between air pollutants and dementia. This study used machine learning algorithms (k-nearest neighbors, random forest, gradient-boosted decision trees, eXtreme gradient boosting, and CatBoost) to investigate the association between cognitive impairment and air pollution. Data from the Taiwan Biobank and 75 air-pollution-monitoring stations in Taiwan were analyzed to determine individual levels of exposure to air pollutants. The pollutants examined were particulate matter with a diameter of ≤ 2.5 µm (PM2.5), nitrogen dioxide, nitric oxide, carbon monoxide, and ozone. The results revealed that the most strongly correlated with cognitive impairment were ozone, PM2.5, and carbon monoxide levels with adjustment of educational level, age, and household income. The model based on these factors achieved accuracy as high as 0.97 for detecting cognitive impairment, indicating a positive association between air pollutions and cognitive impairment.
ABSTRACT
The association between metal mixtures and kidney function has been reported. However, reports on the mechanism of metal toxicity were limited. Oxidative stress was reported as a possible cause. This study aimed to determine the association between of kidney function and metals, such as arsenic (As), cadmium (Cd), cobalt (Co), copper (Cu), lead (Pb), selenium (Se), and zinc (Zn), and to explore the possible mediating role of tumor necrosis factor alpha (TNF-α) between metal toxicity and kidney function. In this study, we recruited 421 adults from a health examination. The concentration of blood metals was analyzed using inductively coupled plasma mass spectrometry. We used linear regression models to assess the association between metals and TNF-α. Then, mediation analysis was applied to investigate the relationship between metal exposure, TNF-α, and kidney function. In univariate linear regression, blood As, Cd, Co, Cu, Pb, and Zn levels significantly increased TNF-α and decreased kidney function. Higher blood As and Pb levels significantly increased TNF-α in multivariable linear regressions after adjusting for covariates. We found that blood levels of As (coefficients = -0.021, p = 0.011), Pb (coefficients = -0.060, p < 0.001), and Zn (coefficients = -0.230, p < 0.001) showed a significant negative association with eGFR in the multiple-metal model. Furthermore, mediation analysis showed that TNF-α mediated 41.7â¯%, 38.8â¯%, and 20.8â¯% of blood Cd, As and Pb, respectively. Among the essential elements, TNF-α mediated 24.5â¯%, 21.5â¯% and 19.9â¯% in the effects of blood Co, Cu, and Zn on kidney function, respectively. TNF-α, acting as a mediator, accounted for 20.1â¯% of the contribution between the WQS score of metal mixtures and the eGFR (pâ¯<â¯0.001). This study suggested that TNF-α may be a persuasive pathway mediating the association between metals and kidney function. Inflammation and kidney injury could be the underlying mechanisms of metal exposure. However, there is still a need to clarify the biochemical mechanism in follow-up studies.
ABSTRACT
This study examined the relationships between marketing exposure, in-game purchase, problem gaming, online simulated gambling game playing, and psychological distress. Data were obtained from a sample of 2,595 seventh-grade students from 30 middle schools in Taiwan. A self-administered questionnaire was conducted in 2020. The results indicated that 94% of adolescents engage in online gaming, with 38% making in-game purchases, and 9% playing online simulated gambling games. The multiple regression results showed that adolescents who are exposed to higher levels of gaming marketing, influenced by advertising effects, involved in in-game purchases, and have lower levels of active parental mediation were more likely to experience problem gaming. Adolescents who have increased exposure to gambling game marketing, are influenced by advertising effects, are involved in in-game purchases, and who are experiencing problem gaming were more likely to engage in online simulated gambling game playing and token purchasing. Involvement in in-game purchases, problem gaming, and playing online simulated gambling games were associated with higher levels of psychological distress and poor sleep quality. In conclusion, the results of this study link adolescents' exposure to marketing with their involvement in in-game purchases, problem gaming, and engaging in online simulated gambling.
ABSTRACT
[This corrects the article DOI: 10.1371/journal.pone.0278290.].
ABSTRACT
PURPOSE: Previous research shows conflicting views on the relationship between obesity and osteoporosis, partly due to variations in obesity classification and the nonlinear nature of these relationships. This study investigated the association between adiposity indices and osteoporosis, diagnosed using dual-energy X-ray absorptiometry (DXA), employing nonlinear models and offering optimal thresholds to prevent further bone mineral density decline. METHODS: In 2019, a prospective study enrolled males over 50 years and postmenopausal women. Anthropometric measurements, blood biochemistry, and osteoporosis measured by DXA were collected. Associations between adiposity indices and osteoporosis were analyzed using a generalized additive model and segmented regression model. RESULTS: The study included 872 women and 1321 men. Indices such as abdominal volume index (AVI), visceral adiposity index (VAI), waist circumference (WC), hip circumference, body mass index (BMI), waist-to-hip ratio, and waist-to-height ratio (WHtR) were inversely associated with osteoporosis. In women, the relationship between the risk of osteoporosis and the adiposity indices was U-shaped, with thresholds of WC = 94 cm, AVI = 17.67 cm2, BMI = 25.74 kg/m2, VAI = 4.29, and WHtR = 0.61, considering changes in bone mineral density. Conversely, men exhibited a linear patterns for the inverse association. CONCLUSION: The impact of obesity and adiposity on osteoporosis varies significantly between women and men. In postmenopausal women, the relationship is nonlinear (U-shaped), with both very low and very high adiposity linked to higher osteoporosis risk. In men over 50, the relationship is linear, with higher adiposity associated with lower osteoporosis risk. The study suggests that maintaining specific levels of adiposity could help prevent osteoporosis in postmenopausal women.
ABSTRACT
Background: Physical frailty is an important issue in aging societies. Three models of physical frailty assessment, the 5-Item fatigue, resistance, ambulation, illness and loss of weight (FRAIL); Cardiovascular Health Study (CHS); and Study of Osteoporotic Fractures (SOF) indices, have been regularly used in clinical and research studies. However, no previous studies have investigated the predictive ability of machine learning (ML) for physical frailty assessment. The aim was to use two ML algorithms, random forest (RF) and extreme gradient boosting (XGBoost), to predict these three physical frailty assessment models. Materials and methods: Questionnaires regarding demographic characteristics, lifestyle habits, living environment, and physical frailty assessment were answered by 445 participants aged 60 years and above. The RF and XGBoost algorithms were used to assess their scores for the three physical frailty indices. Furthermore, feature importance and Shapley additive explanations (SHAP) were used to determine the important physical frailty factors. Results: The XGBoost algorithm obtained higher accuracy for predicting the three physical frailty indices; the areas under the curve obtained by the XGBoost algorithm for the 5-Item FRAIL, CHS, and SOF indices were 0.84. 0.79, and 0.69, respectively. The feature importance and SHAP of the XGBoost algorithm revealed that systolic blood pressure, diastolic blood pressure, age, and body mass index play important roles in all three physical frailty models. Conclusion: The XGBoost algorithm has a more accurate predictive rate than RF across all three physical frailty assessments. Thus, ML can be a useful tool for the early detection of physical frailty.
Subject(s)
Frailty , Geriatric Assessment , Machine Learning , Osteoporotic Fractures , Humans , Female , Aged , Male , Middle Aged , Frailty/diagnosis , Surveys and Questionnaires , Geriatric Assessment/methods , Aged, 80 and over , Frail Elderly/statistics & numerical data , AlgorithmsABSTRACT
Objective: This study aimed to determine if a combination of 2 abnormal lipid profiles revealed a stronger association with low bone mass than a single blood lipid abnormality alone. Methods: This study enrolled 1373 participants who had received a dual-energy x-ray absorptiometry scan from January 2016 to December 2016 in a medical center in southern Taiwan. Logistic regression was used to examine association between lipid profiles and osteopenia or osteoporosis after adjusting for covariates. Results: Compared to people with total cholesterol (TC) < 200â mg/dL, those with TC ≥ 240â mg/dL tended to have osteopenia or osteoporosis (OR 2.61; 95% CI, 1.44-4.71). Compared to people with low-density lipoprotein cholesterol (LDL-C) < 130â mg/dL, those with LDL-C ≥ 160â mg/dL tended to develop osteopenia or osteoporosis (OR 2.13; 95% CI, 1.21-3.74). The association of increased triglyceride and decreased bone mass was similar, although not statistically significant. Those with the combination of TG ≥ 200â mg/dL and TC ≥ 240â mg/dL had a stronger tendency to have osteopenia or osteoporosis (OR 3.51; 95% CI, 1.11-11.13) than people with only one blood lipid abnormality. Similarly, people with TG ≥ 200â mg/dL and LDL-C ≥ 160â mg/dL had a stronger tendency to have osteopenia or osteoporosis (OR 9.31; 95% CI, 1.15-75.42) than people with only one blood lipid abnormality, after adjustment for the same covariates. Conclusion: Blood levels of TC, LDL-C, and TG were associated with osteopenia or osteoporosis. Results indicate that individuals aged older than 50 years with abnormal lipid profiles should be urged to participate in a bone density survey to exclude osteopenia or osteoporosis.
ABSTRACT
BACKGROUND: Well-being is an important issue in workplace. One of these assessment tools of well-being, Workplace PERMA Profiler, is based on Seligman's five dimensions well-being. Prolonged fatigue may last for a long time, leading a great impact on both employees and enterprises. However, rare studies about the association between well-being and fatigue had been investigated. Our aim is to establish the Chinese version Profiler, and to discovery the association between workplace well-being and fatigue. METHODS: The Chinese version was established according to International Society of Pharmacoeconomics and Outcomes Research (ISPOR) task force guidelines. In the study, researchers employed simple random sampling by approaching individuals undergoing health checkups or receiving workplace health services, inviting them to participate in a questionnaire-based interview. Prolonged Fatigue was evaluated by Checklist Individual Strength (CIS). The reliability was evaluated by Cronbach's alphas, Intra-class Correlation Coefficients (ICCs), and measurement errors. Moreover, confirmatory factor analysis and correlational analyses were assessed for the validity. RESULTS: The analyses included 312 Chinese workers. Cronbach's alphas of the Chinese version ranged from 0.69 to 0.93, while the ICC ranged from 0.70 to 0.92. The 5-factor model of confirmatory factor analysis revealed a nearly appropriate fit (χ2 (82) = 346.560, Comparative Fit Index [CFI] = 0.887, Tucker-Lewis Index [TLI] = 0.855, Root Mean Square Error of Approximation [RMSEA] = 0.114, Standardized Root Mean Square Residual [SRMR] = 0.060). Moreover, the CIS and its four dimensions were significantly and negatively associated with the Positive Emotion, while they are positively associated with Engagement dimension except CIS-Motivation dimension. CONCLUSION: The Chinese version Workplace PERMA-Profiler indicate nice reliability and validity. Furthermore, all CIS dimensions were negatively influenced by Positive Emotion, while commonly positively associated with Engagement.
Subject(s)
Advisory Committees , Workplace , Humans , Asian People , Fatigue , Reproducibility of ResultsABSTRACT
In this study, we examined the relationships between the use of online dating applications (apps), online victimization, and psychosocial distress among adolescents. This study was conducted in 2020. A sample of 2595 seventh-grade students from 30 Taiwanese middle schools was surveyed. We conducted a self-administered survey. Overall, 15% of the adolescents reported using online dating apps in the past year, while 78% reported having seen dating app advertisements on the internet in the past year. Multivariate analysis results indicated that adolescents' exposure to the marketing of dating apps and poor academic performance were both associated with the use of online dating apps. Adolescents who used dating apps were more likely to experience online privacy victimization, cyberbullying victimization, and online sexual harassment. The use of dating apps by adolescents, online privacy victimization, cyberbullying victimization, and online sexual harassment were associated with higher levels of depression, anxiety, and stress. In conclusion, adolescent use of dating apps is related to online victimization and psychological distress.
ABSTRACT
This research aimed to approach relationships between metal mixture in blood and kidney function, tumor necrosis factor alpha (TNF-α) by machine learning. Metals levels were measured by Inductively Couple Plasma Mass Spectrometry in blood from 421 participants. We applied K Nearest Neighbor (KNN), Naive Bayes classifier (NB), Support Vector Machines (SVM), random forest (RF), Gradient Boosting Decision Tree (GBDT), Categorical boosting (CatBoost), eXtreme Gradient Boosting (XGBoost), Whale Optimization-based XGBoost (WXGBoost) to identify the effect of plasma metals, TNF-α, and estimated glomerular filtration rate (eGFR by CKD-EPI equation). We conducted not only toxic metals, lead (Pb), arsenic (As), cadmium (Cd) but also included trace essential metals, selenium (Se), copper (Cu), zinc (Zn), cobalt (Co), to predict the interaction of TNF-α, TNF-α/white blood count, and eGFR. The high average TNF-α level group was observed among subjects with higher Pb, As, Cd, Cu, and Zn levels in blood. No associations were shown between the low and high TNF-α level group in blood Se and Co levels. Those with lower eGFR group had high Pb, As, Cd, Co, Cu, and Zn levels. The crucial predictor of TNF-α level in metals was blood Pb, and then Cd, As, Cu, Se, Zn and Co. The machine learning revealed that As was the major role among predictors of eGFR after feature selection. The levels of kidney function and TNF-α were modified by co-exposure metals. We were able to acquire highest accuracy of over 85% in the multi-metals exposure model. The higher Pb and Zn levels had strongest interaction with declined eGFR. In addition, As and Cd had synergistic with prediction model of TNF-α. We explored the potential of machine learning approaches for predicting health outcomes with multi-metal exposure. XGBoost model added SHAP could give an explicit explanation of individualized and precision risk prediction and insight of the interaction of key features in the multi-metal exposure.
Subject(s)
Kidney , Metals, Heavy , Trace Elements , Tumor Necrosis Factor-alpha , Humans , Arsenic/blood , Bayes Theorem , Cadmium/blood , Cobalt/blood , Kidney/physiology , Lead/blood , Metals, Heavy/blood , Selenium/blood , Trace Elements/blood , Tumor Necrosis Factor-alpha/metabolism , Machine LearningABSTRACT
BACKGROUND AND AIMS: It is currently unclear whether the nonalcoholic fatty liver disease (NAFLD) fibrosis score, when compared to major anthropometric indices, is useful in estimating the risk of atherosclerotic cardiovascular disease (ASCVD). METHODS AND RESULTS: This study included 3886 adults undergoing a health checkup. An elevated risk of ASCVD was determined as a 10-year ASCVD risk ≥7.5% using Pooled Cohort Equations. NAFLD was diagnosed with abdominal ultrasonography. Receiver operating characteristic curves were used to evaluate the performance of estimating an elevated ASCVD risk. Among study participants, 521 (13.4%) had an elevated ASCVD risk and 1473 (37.9%) had NAFLD. Subjects with NAFLD had a significantly higher rate of ASCVD risk ≥7.5% (p < 0.001) compared to those without NAFLD. After adjusting for cardiometabolic risk factors, NAFLD (OR = 1.49, 95% CI: 1.10-2.00, p = 0.009) in all participants and NAFLD fibrosis score >0.676 (OR = 1.95, 95% CI: 1.30-2.92, p = 0.001) in individuals with NAFLD were significantly associated with an elevated risk of ASCVD. When compared to different anthropometric indices, NAFLD fibrosis score exhibited the largest area under the curve (AUC) in individuals with NAFLD (AUC = 0.750) in estimating an elevated ASCVD risk. Furthermore, NAFLD fibrosis score displayed the best predictive performance for identifying an elevated ASCVD risk in male participants with NAFLD (AUC = 0.737). CONCLUSION: NAFLD was a significant risk factor for elevated ASCVD risk. NAFLD fibrosis score >0.676 was associated with increased ASCVD risk in individuals with NAFLD. Compared with anthropometric indices, NAFLD fibrosis score demonstrated the best performance in estimating elevated ASCVD risk among those with NAFLD.
Subject(s)
Atherosclerosis , Cardiovascular Diseases , Non-alcoholic Fatty Liver Disease , Adult , Humans , Male , Non-alcoholic Fatty Liver Disease/diagnostic imaging , Non-alcoholic Fatty Liver Disease/epidemiology , Cardiovascular Diseases/etiology , Risk Factors , Atherosclerosis/diagnostic imaging , Atherosclerosis/epidemiology , FibrosisABSTRACT
BACKGROUND: Despite the well-established efficacies of tyrosine kinase inhibitors (TKIs) in epidermal growth factor receptor (EGFR)-mutated non-small cell lung cancer (NSCLC), there is limited real-world evidence comparing their effectiveness according to patients' clinical characteristics. This network meta-analysis (NMA) compared survival outcomes among first-line EGFR-TKIs in different subgroups of East Asian patients with advanced NSCLC. METHODS: This NMA included real-world observational studies reporting outcomes with TKIs in patients aged >65 years, with baseline brain metastasis, with different Eastern Cooperative Oncology Group (ECOG) statuses, or with different common EGFR mutation types. RESULTS: In patients with the EGFR L858R mutation, afatinib resulted in significantly longer progression-free survival (PFS) than erlotinib (hazard ratio [HR]: 0.59, 95% confidence interval [CI]: 0.46-0.75) and gefitinib (HR: 0.41, 95% CI: 0.32-0.53). Similarly, in patients with the EGFR Del19 mutation, afatinib and erlotinib resulted in significantly longer PFS than gefitinib (HR: 0.48 with 95% CI: 0.33-0.71 and HR: 0.54 with 95% CI: 0.36-0.80, respectively). Moreover, afatinib resulted in significantly longer PFS than gefitinib in patients with brain metastasis (HR: 0.53, 95% CI: 0.33-0.87) or ECOG status 0-1 (HR: 0.37, 95% CI: 0.23-0.59). CONCLUSION: This NMA suggests that afatinib results in similar PFS to erlotinib and superior PFS than gefitinib in patients with Del19 mutant NSCLC, aged ≥65 years, with ECOG scores of 0-1, and with baseline brain metastasis.
Subject(s)
Brain Neoplasms , Carcinoma, Non-Small-Cell Lung , Lung Neoplasms , Humans , Carcinoma, Non-Small-Cell Lung/drug therapy , Carcinoma, Non-Small-Cell Lung/genetics , Carcinoma, Non-Small-Cell Lung/pathology , Gefitinib/therapeutic use , Erlotinib Hydrochloride/pharmacology , Erlotinib Hydrochloride/therapeutic use , Afatinib/therapeutic use , Lung Neoplasms/drug therapy , Lung Neoplasms/genetics , Lung Neoplasms/pathology , East Asian People , Network Meta-Analysis , Protein Kinase Inhibitors/pharmacology , Protein Kinase Inhibitors/therapeutic use , Mutation , Treatment Outcome , ErbB Receptors , Brain Neoplasms/drug therapy , Brain Neoplasms/geneticsABSTRACT
BACKGROUND: The comparative efficacies of different generation tyrosine kinase inhibitors (TKIs) in epidermal growth factor receptor (EGFR)-mutated advanced non-small cell lung cancer (NSCLC) remain largely unknown. Moreover, whether one EGFR-TKI confers superior survival remains unclear, especially in East Asians. We conducted a network meta-analysis (NMA) comparing the survival outcomes of East Asian patients with advanced NSCLC treated with first-line EGFR-TKIs. METHODS: The NMA included observational real-world evidence studies on adult patients with EGFR-mutated advanced NSCLC who received first (gefitinib and erlotinib), second (afatinib), or third (osimertinib) generation EGFR-TKIs as frontline therapy. Studies were identified through an online bibliographic search of Medline articles in the PubMed, SCOPUS, Web of Science, and Cochrane Library databases. RESULTS: For overall survival (OS), afatinib had significantly better hazard ratios (HRs) than osimertinib (HR: 0.46, 95% confidence interval [CI]: 0.23-0.91), gefitinib (HR: 0.56, 95% CI: 0.43-0.72), and erlotinib (HR: 0.71, 95% CI: 0.54-0.92). For progression-free survival (PFS), afatinib had significantly better HRs than gefitinib (HR: 0.45, 95% CI: 0.36-0.56) and erlotinib (HR: 0.63, 95% CI: 0.49-0.81). Moreover, afatinib was most likely to achieve the longest OS (81.3%), followed by erlotinib (13%), osimertinib, and gefitinib. Furthermore, afatinib was most likely to achieve the longest PFS (48.3%), followed by osimertinib (34.9%) and erlotinib. CONCLUSIONS: This real-world evidence shows that afatinib confers better survival than other first-line EGFR-TKIs in East Asian patients with advanced NSCLC.
Subject(s)
Carcinoma, Non-Small-Cell Lung , Lung Neoplasms , Adult , Humans , Afatinib , Gefitinib , Erlotinib Hydrochloride/pharmacology , Erlotinib Hydrochloride/therapeutic use , East Asian People , Network Meta-Analysis , Protein Kinase Inhibitors/pharmacology , Protein Kinase Inhibitors/therapeutic use , ErbB Receptors/genetics , MutationABSTRACT
Introduction: Electronic cigarette (e-cigarette) use among adolescents has become increasingly common; therefore, effectively reducing adolescent e-cigarette use is an urgent issue. We aimed to predict and identify potential factors related to adolescent e-cigarette use behaviors. Methods: This cross-sectional study was conducted using anonymous questionnaires given to Taiwanese high school students in 2020. Approximately 1,289 adolescent students completed questions on e-cigarette use, personal characteristics, family environment, and substances used. We performed multivariate logistic regression analyses to assess the model's predictive performance in terms of the area under the receiver operating characteristic curve. Results: We found that 9.3% of adolescent students used e-cigarettes. Tobacco smoking, close friends' reactions to e-cigarette use, and the use of other substances were independent risk factors for adolescent e-cigarette use. Furthermore, relative to tobacco nonuse, tobacco use and tobacco smoking dependence had odds ratios of 76.49 and 113.81, respectively. The predictive accuracy of adolescent e-cigarette use from personal characteristics, family environment, and substance use status was 73.13, 75.91, and 93.80%, respectively. Conclusion: The present study highlights the need for early prevention of e-cigarette use among adolescents, particularly those with a history of using tobacco and other substances and those who have close friends with positive attitudes towards e-cigarette use.
Subject(s)
Electronic Nicotine Delivery Systems , Tobacco Use Disorder , Vaping , Humans , Adolescent , Vaping/epidemiology , Pilot Projects , Taiwan/epidemiology , Cross-Sectional Studies , Risk FactorsABSTRACT
Since low-level lead exposure is still of concern for neonates, it is worth further characterizing the temporal transition trends of cord blood lead levels (CBLLs) globally and locally in Taipei, Taiwan, after the cessation of leaded gasoline use. A literature review on CBLLs around the world was performed by searching three databanks, i.e., PubMed, Google Scholar and Web of Science, with the search keywords "cord blood" combined with "lead" or "Pb" for studies published from 1975 to May 2021. In total, 66 articles were included. Linear regressions for the reciprocal of sample size weighed CBLLs against calendar year presented a high r2 value (0.722) for the very high Human Development Index (HDI) countries and a moderate r2 value (0.308) for the combined high and medium HDI countries. The predicted CBLLs in 2030 and 2040 were 6.92 (95% CI: 6.02-7.81) µg/L and 5.85 (95% CI: 5.04-6.66) µg/L, respectively, for the very high HDI countries and 13.10 (95% CI: 7.12-19.09) µg/L and 10.63 (95% CI: 5.37-15.89) µg/L, respectively, for the combined high and medium HDI countries. To characterize the CBLL transitions in the Great Taipei metropolitan area, data from five studies conducted from 1985 to 2018 were employed. Although the results of the early four studies indicated that the Great Taipei metropolitan area did not reach the pace in CBLL reduction among the very high HDI countries, the CBLLs of the latest study during 2016-2018 were pretty low (8.1 ± 4.5 µg/L), approximately 3 years in advance of the very high HDI countries as one group to reach this low CBLL. In conclusion, further effective reduction in environmental lead exposure is challenging and must be based on the efforts from the aspects reflected by the HDI index compositions, i.e., economics, education and health, mostly implying health disparity and inequality.
Subject(s)
Environmental Exposure , Lead , Infant, Newborn , Humans , Lead/analysis , Environmental Exposure/analysis , Educational Status , Taiwan , Developing CountriesABSTRACT
In this study, we examined influencer marketing and consumption of non-alcoholic beer by adolescents to determine how these factors could affect the intentions of adolescents to purchase and drink alcohol. A total of 3121 high-school students recruited from 36 schools in Taiwan completed a self-administered questionnaire during the COVID-19 pandemic in 2022. The results indicate that 19% of these adolescents consumed non-alcoholic beer and 28% consumed alcohol in the past year. Multivariate analysis positively associated adolescents' exposure to influencer marketing with their purchase and consumption of non-alcoholic beer. Adolescents' exposure to influencer marketing of non-alcoholic beer combined with lower levels of parental restrictive mediation was associated with increased odds of the purchase and consumption of alcohol. For individuals who did not purchase alcohol in the past year, both the exposure to influencer marketing and the consumption of non-alcoholic beer were associated with intending to purchase alcohol in the future. Similarly, individuals who previously abstained from the consumption of alcohol, both the exposure to influencer marketing and the consumption of non-alcoholic beer were associated with intending to consume alcohol. In conclusion, when adolescents were exposed to influencer marketing of non-alcoholic beer they were more likely to consume it, which resulted in an increased likelihood that they would then purchase and consume alcohol.
ABSTRACT
Background: Shift work may disrupt the sleep and wake cycles and negatively affect physical and mental health. Dementia is a neurodegenerative disorder with progressively declining cognition that is receiving increasing attention. Studies on the association between shift work and dementia are rare. Herein, we conducted a meta-analysis to investigate the association between shift work and dementia. Materials and methods: This study was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. We searched the PubMed, Embase, and Web of Science databases using a related set of keywords. The inclusion criteria were as follows: (1) adult employees working in a factory, company, or organization; (2) exposure to shift work/non-shift work; and (3) outcome of dementia based on examination or assessment. A meta-analysis using a fixed-effects model was performed. The hazard ratio of dementia was compared between shift workers and non-shift workers. Results: Five studies were included in the quantitative synthesis, and two were selected for further meta-analysis. A random-effects model showed a modest association between shift work and an increase in dementia cases (pooled hazard ratio = 1.13; 95% confidence interval: 1.04-1.23; p = 0.04). This association also occurred in night workers for more than 1 year. Conclusion: Shift work and long-term night work were modestly associated with a higher risk of developing dementia. Avoiding long-term night shifts may be effective in reducing dementia risk. Further studies are required to confirm this hypothesis.
Subject(s)
Cognition , Dementia , Adult , Humans , Databases, Factual , Mental Health , SleepABSTRACT
INTRODUCTION: Methadone maintenance therapy is a leading treatment strategy for stabilizing and rehabilitating patients with opioid dependence; however, findings related to the risk of motor vehicle collisions after methadone use have been conflicting. In the present study, we compiled the available evidence on the risk of motor vehicle collisions after methadone use. METHODS: We completed a systematic review and meta-analysis of studies identified on six databases. Two reviewers independently screened the identified epidemiological studies, extracted data, and used the Newcastle-Ottawa Scale to assess the quality of the studies. Risk ratios were retrieved for analysis, conducted using random-effects model. Sensitivity analyses, subgroup analyses, and tests for publication bias were conducted. RESULTS: Among 1446 identified relevant studies, a total of 7 epidemiological studies enrolling 33226142 participants met the inclusion criteria. Overall, study participants with methadone use had a higher risk of motor vehicle collisions than did those without methadone use (pooled relative risk 1.92, 95% CI 1.25-2.95; number needed to harm 11.3, 95% CI 5.3-41.6); the I2 statistic was 95.1%, indicating substantial heterogeneity. Subgroup analyses revealed that database type explained 95.36% of the between-study variance (p = 0.008). Egger's (p = 0.376) and Begg's (p = 0.293) tests revealed no evidence of publication bias. Sensitivity analyses indicated that the pooled results were robust. CONCLUSION: The present review revealed that methadone use is significantly associated with a nearly doubled risk of motor vehicle collisions. Therefore, clinicians should exercise caution in implementing methadone maintenance therapy for drivers.
Subject(s)
Methadone , Opioid-Related Disorders , Humans , Methadone/adverse effects , Opioid-Related Disorders/rehabilitation , Opiate Substitution Treatment/adverse effects , Accidents, Traffic , Motor VehiclesABSTRACT
Shift work (SW) is the main working schedule worldwide, and it may cause sleep disorders, breast cancer, and cardiovascular disease. Low back pain (LBP) is a common problem in the workplace; however, the association between LBP and SW remains unclear. Therefore, we conducted a meta-analysis to determine the association between SW and LBP. This study was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. The PubMed, Embase, and Web of Science databases using a set of associated keywords were queried. The inclusion criteria were as follows: (1) adult employees hired by a company or organization; (2) SW exposure; and (3) the outcome of LBP according to examination or assessment. A total of 40 studies were included that met the inclusion criteria for the meta-analysis. SW was significantly associated with LBP (odds ratio [OR]: 1.31, 95% confidence interval [CI]: 1.18−1.47, p < 0.00001). Furthermore, it was observed that LBP was significantly associated with night shift (NS) (OR: 1.49, 95% CI: 1.24−1.82, p < 0.0001) but not with rotating shift (RS) (OR: 0.96, 95% CI: 0.76−1.22, p = 0.49). Moreover, LBP was significantly associated with SW in health care workers (HCWs) (OR: 1.40, 95% CI: 1.20−1.63, p < 0.0001) but not in non-HCWs (OR: 1.19, 95% CI: 0.94−1.50, p = 0.14). SW was significantly associated with LBP. Furthermore, the subgroup analysis showed that NS, but not RS, was associated with LBP. Compared with SW in non-HCWs, SW in HCWs was significantly associated with LBP.
Subject(s)
Low Back Pain , Shift Work Schedule , Adult , Humans , Low Back Pain/etiology , Low Back Pain/complications , Workplace , Health Personnel , Working ConditionsABSTRACT
Background: One of the health issues related to shift work patterns is possible gastro-esophageal reflux disease (GERD) symptoms. However, the association between shift work and possible GERD symptoms through meta-analysis has not been developed in the current literature field. Therefore, the purpose of this study is to analyze the association between shift work and possible GERD symptoms through meta-analysis. Methods: Studies containing target keywords were found in three datasets, and four articles were selected for further analysis after examining the title, abstract, and text. All prevalence odds ratios (ORs) among different groups of the population and the standard error (SE) from each included study were calculated for conducting meta-analysis. Result: The pooled OR has shown a significant positive association between shift work and possible GERD (OR 1.53; 95% confidence interval [CI] 1.33-1.77, p-value 0.003). Compared to non-shift workers, the subgroup analysis indicates there are positive associations between possible GERD and the night shift (OR 1.39; 95% CI 1.16-1.66), and the rotating shift (OR 1.83; 95% CI 1.44-2.33). The subgroup analysis has also shown similar trends in shift working men (OR 1.28; 95% CI 1.03-1.60) and shift workers of both genders (OR 1.75; 95% CI 1.45-2.11). Conclusion: This study has shown a positive association between shift work and possible GERD.