Showing 801 - 820 results of 906 for search '"tobacco"', query time: 0.05s Refine Results
  1. 801

    The role of epigenetic factors in the pathogenesis of dysmetabolic nephropathy with calcium oxalate crystalluria in children by N.R. Aib, O.Z. Hnateyko, N.S. Lukyanenko, A.B. Volosyanko

    Published 2024-10-01
    “…The most significant prenatal epigenetic factors are the threat of early miscarriage, gestosis of the first and second halves of pregnancy, maternal anemia during pregnancy, parental alcohol and tobacco use, mother's work on computer during pregnancy, presence of maternal chronic diseases, parental exposure to industrial dust and noise, and heavy physical work of mother leading to fetal hypoxia. …”
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  2. 802
  3. 803

    Mental health and substance use among rehabilitation sciences students during the COVID-19 pandemic by Itumeleng Ntatamala, Saajida Khan, Zenzo Chakara

    Published 2025-02-01
    “…Results: Substance use was common, including alcohol (54.05%), cigarettes and/or tobacco (17.27%), and illicit drugs (5.56%). Below a quarter (23.85%) self-reported a mental health condition in their lifetime and 14.81% in the past 12 months. …”
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  4. 804

    Amphetamine use as a predictor of cardiovascular and cerebrovascular mortality and morbidity: a longitudinal cohort study of criminal justice clients by Ada Åhman, Jonas Berge, Anders Håkansson

    Published 2025-01-01
    “…Data on age, sex, self-reported injection drug, tobacco use, and time in prison or custody were retrieved from the ASI database. …”
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  5. 805

    Determinants of Adverse Perinatal Outcomes in Ibadan, Nigeria: The influence of maternal lifestyle. by Ikeola A Adeoye, Chioma O Unogu, Kofoworola Adediran, Babatunde M Gbadebo

    Published 2025-01-01
    “…Explanatory variables comprised Antepartum Depression (Edinburgh Depression Scale ≥ 12), Physical activity (Pregnancy Physical Activity Questionnaire (PPAQ), Dietary pattern (Qualitative Food Frequency Questionnaire (FFQ), Maternal Stress (Perceived Stress Scale), Alcohol consumption, and Tobacco exposure. We used binary and multiple logistic regression to assess the associations between the risk factors and adverse perinatal outcomes at a significant P-value <0.05. …”
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  6. 806

    Co-occurrence of behavioural risk factors for non-communicable diseases and mortality risk in Spain: a population-based cohort study by Iñaki Galán, Cristina Ortiz, Carmen Rodriguez-Blazquez, Teresa López-Cuadrado, Ana Ayuso-Álvarez

    Published 2025-01-01
    “…Risk factors included tobacco use, high-risk alcohol consumption, low adherence to the Mediterranean diet, leisure time sedentary lifestyle and body mass index outside the 18.5–24.9 kg/m2 range. …”
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  7. 807
  8. 808

    Genetic evidence for the causal effects of air pollution on the risk of respiratory diseases by Yanjuan Wu, Yuting Zhang, Jingcun Wang, Qiming Gan, Xiaofen Su, Sun Zhang, Yutong Ding, Xinyan Yang, Nuofu Zhang, Kang Wu

    Published 2025-01-01
    “…Importantly, these associations remained robust even after controlling for potential tobacco-related confounders in the MVMR analyses. …”
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  9. 809
  10. 810
  11. 811

    Perceptions of family physicians in Istanbul about e-cigarettes as smoking cessation aids: a qualitative study by Melis Selamoglu, Ayse Emel Onal, Bircan Erbas, Selma Karabey, Meryem Merve Oren, Mahmut Talha Ucar, Chris Barton

    Published 2024-12-01
    “…They held a range of views on the harms of e-cigarettes and the potential for a gateway effect and dual use with tobacco cigarettes. FPs stated they would not recommend e-cigarettes as smoking cessation aids and half were not keen on a prescription model for e-cigarettes. …”
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  12. 812

    Global, regional, and national burden of pancreatic cancer from 1990 to 2021, its attributable risk factors, and projections to 2050: a systematic analysis of the global burden of... by Tianyu Li, Chen Lin, Weibin Wang

    Published 2025-02-01
    “…Age-standardized DALYs rate (ASDR) and ASMR worldwide were attributable to tobacco smoking, high BMI, and high fasting plasma glucose. …”
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  13. 813

    Association of socio-demographic characteristics, comorbidities, lifestyle habits, and saliva parameters with dental caries in adults with obesity by Virginie Chuy, Marie Mayoute, Maud Monsaingeon-Henry, Blandine Gatta-Cherifi, Élise Arrivé

    Published 2025-01-01
    “… Objective: To describe the oral health status of patients with obesity and to explore the socio-demographic characteristics, comorbidities, lifestyle habits (tobacco, alcohol, sweet/acidic diet), and saliva parameters most associated with the dental caries experience.  …”
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  14. 814

    Mitochondrial Dysfunction: A Basic Mechanism in Inflammation-Related Non-Communicable Diseases and Therapeutic Opportunities by Anna Hernández-Aguilera, Anna Rull, Esther Rodríguez-Gallego, Marta Riera-Borrull, Fedra Luciano-Mateo, Jordi Camps, Javier A. Menéndez, Jorge Joven

    Published 2013-01-01
    “…The roles of cytokines and insulin resistance in excessive energy intake have been studied extensively. Tobacco use and obesity accompanied by an unhealthy diet and physical inactivity are the main factors that underlie noncommunicable diseases. …”
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  15. 815

    Brief Report: Precision Language and Deletion of the “S” Word by Ciara Lockstadt, MD, Mary M. Pasquinelli, DNP, Jill Feldman, MD, Jamie L. Studts, PhD, Jamie S. Ostroff, PhD, Li Liu, PhD, Ella A. Kazerooni, MD, Robert A. Smith, PhD, Lisa Carter-Bawa, PhD, Lawrence E. Feldman, MD

    Published 2025-01-01
    “…We searched each presentation, including images, for discussion of tobacco use and the use of the term “smoker,” which is an indicator of stigmatizing language. …”
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  16. 816

    Global burden of musculoskeletal disorders and attributable factors in 204 countries and territories: a secondary analysis of the Global Burden of Disease 2019 study by Binyan Wang, Ding Ye, Shiwen Liu, Shuzhen Fan, Yaxuan Wang, Yuxuan Zhan

    Published 2022-06-01
    “…Occupational risk exhibited the highest contribution to MSK disorders, and tobacco use and high body mass index were also major risk factors.Conclusions This study demonstrates that the burden of MSK disorders tends to be lower in high-SDI regions than in lower-SDI regions. …”
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  17. 817

    Altered expression profile of plasma exosomal microRNAs in exclusive electronic cigarette adult users by Dongmei Li, Zidian Xie, Sadiya Bi Shaikh, Irfan Rahman

    Published 2025-01-01
    “…We used plasma samples from 15 exclusive e-cigarette users and 15 non-users from the Population Assessment of Tobacco and Health (PATH) Wave 1 study (2013–2014) and sequenced miRNAs with Illumina NextSeq 500/550. …”
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  18. 818

    Effect of Mind Sound Resonance Technique on Pulmonary Function and Smoking Behavior among Smokers – A Prospective Randomized Control Trial by K. S. Moodala Girishankara, Shivaprasad Shetty, Krithika A. Ramaswamy, Prashanth Shetty

    Published 2024-12-01
    “…All subjects were administered the Smoking Abstinence Self-Efficacy Questionnaire (SASEQ) to assess the motivation to quit smoking, the Minnesota Tobacco Withdrawal Scale-Revised (MTWS) to assess withdrawal symptoms on smoking cessation, and the Questionnaire of Smoking Urges to evaluate the urge to smoke, before and after the 10-day intervention. …”
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  19. 819

    Development of a robust and efficient virus-induced gene silencing system for reverse genetics in recalcitrant Camellia drupifera capsules by Hongjian Shen, Huajie Chen, Weimeng Li, Shan He, Boyong Liao, Wanyu Xiong, Yang Shen, Yongjuan Li, Yanru Gao, Yong Quan Li, Bipei Zhang

    Published 2025-01-01
    “…Results Herein, we initiated the Tobacco rattle virus (TRV)-elicited VIGS in Camellia drupifera capsules with an orthogonal analysis including three factors: silencing target, virus inoculation approach, and capsule developmental stage. …”
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  20. 820

    High Prevalence of Prediabetes and Associated Risk Factors in Urban Areas of Pontianak, Indonesia: A Cross-Sectional Study by Indah Budiastutik, Martha I. Kartasurya, Hertanto W. Subagio, Bagoes Widjanarko

    Published 2022-01-01
    “…Interview using a structured questionnaire were performed to obtain data on predictor variables (age, sex, education, income, health insurance, tobacco use, history of hypertension, gout, high cholesterol level, frequency of exercise per week, and diabetic education). …”
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