Готові списки джерел за темами / Smoking statu

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Добірка наукової літератури з теми "Smoking statu"

Автор: Grafiati
Опубліковано: 11 березня 2023

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Статті в журналах з теми "Smoking statu"

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Pandey, Sarika, Rajiv Garg, Surya Kant, Priyanka Gaur, Ajay Verma, rashant Mani Tripathi, and Rajeev Kumar. "Association of Smoking Status with COPD in North Indian Population." International Journal of Life-Sciences Scientific Research 4, no. 2 (March 2018): 1685–89. http://dx.doi.org/10.21276/ijlssr.2018.4.2.12.

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Qurashi, Inti, Paul Stephenson, Chitra Nagaraj, Simon Chu, Richard Drake, Lewis Couchman, and Robert Flanagan. "Changes in smoking status, mental state and plasma clozapine concentration: retrospective cohort evaluation." BJPsych Bulletin 43, no. 6 (August 8, 2019): 271–74. http://dx.doi.org/10.1192/bjb.2019.50.

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Aims and methodTo investigate the percentage of patients who commenced smoking after transferring out of a non-smoking forensic psychiatric unit, the corresponding clozapine dose adjustments, the effects on plasma clozapine/norclozapine concentrations and observed changes in mental state. We reviewed the notes and plasma clozapine/norclozapine concentrations of 46 patients transferred to medium secure units between July 2008 and December 2013.ResultsThirty-five patients commenced smoking. Their median clozapine dose was increased by 50 mg/d. In the non-smokers, the median clozapine dose remained unchanged. Plasma clozapine/norclozapine concentrations were significantly reduced in smokers despite dosage adjustment. Eighteen patients experienced deterioration in mental state after transfer; almost all these patients were smokers.Clinical implicationsApproximately three-quarters of patients who were non-smokers by virtue of being in a secure non-smoking environment commenced smoking after transfer. Monitoring of clozapine serum levels and assessment of mental state in the immediate period after a change in smoking status is indicated.
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Dr. Jaya S, Dr Jaya S., and Ngasepam Sonia. "An Exploratory Study on Cigarette Smoking and Health Status among Adolescent Boys." Indian Journal of Applied Research 3, no. 6 (October 1, 2011): 288–89. http://dx.doi.org/10.15373/2249555x/june2013/95.

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Shin, YoungJu, and Nicole L. Johnson. "Testing effects of awareness of statewide smoke-free air law and risk perception on smoking behaviors." Health Education 121, no. 2 (January 14, 2021): 189–99. http://dx.doi.org/10.1108/he-09-2020-0088.

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PurposeTo reduce the smoking rates and alleviate societal problems associated with smoking, health administrators and policy makers have attempted to promote and implement statewide smoking free policy. The present study examined how adults' awareness of and attitude toward the smoke-free air law, their perceived risks of secondhand smoke and current smoking status were associated with smoking attitude and behaviors.Design/methodology/approachAs part of the Indiana Adult Tobacco Survey, 2,027 respondents participated in cross-sectional telephone surveys. A series of independent sample t-test and binary logistic regression analyses were performed.FindingsAwareness of the state law was inversely related to negative attitude toward smoking behaviors. Individuals who reported favorable attitude toward the state smoke-free air law and higher risk perceptions of secondhand smoke showed negative attitude toward smoking behaviors. Non-smokers and former smokers were significantly different from current smokers with regard to attitude toward smoking. Negative attitude was significantly related to intention to quit smoking. Awareness of the state law, perceived risk and current smoking status were key determinants for anti-smoking attitude and behavior.Originality/valueFindings highlight the importance of effective dissemination of the state law and recommend a strategic intervention design that invokes risk perceptions of secondhand smoke.
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Hoehman, Nancy. "Information: Smoking Status." Gastroenterology Nursing 18, no. 1 (January 1995): 43. http://dx.doi.org/10.1097/00001610-199501000-00019.

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Assi, Mohammad, Nehmatalla Onaissy, Fouad Sakr, Michelle Cherfan, Zeina Akiki, Mariam Dabbous, Marwan Akel, and Jihan Safwan. "Smoking habits, attitudes and determinants among university aged population: Comparison of pharmacy and non-pharmacy students from a private university in Lebanon." Pharmacy Education 22, no. 1 (June 2, 2022): 523–32. http://dx.doi.org/10.46542/pe.2022.221.523532.

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Objective: To assess the prevalence of smoking among pharmacy students and to analyse how smoking affects pharmacy students’ attitudes towards smoking cessation practices. Methods: An online questionnaire was distributed to students from five schools at the Lebanese International University as part of a cross-sectional study. It looked into sociodemographic identities, smoking attitudes and beliefs, and pharmacy students’ smoking cessation consultation procedures. Results: A total of 1372 students were enrolled in the study (159 pharmacy students and 1213 non-pharmacy students). Almost half of the participants (45.0%) were current smokers, with males accounting for the majority. There was a substantial correlation between knowledge of smoking's health implications and smoking status (p = 0.021). Nonsmoking pharmacy students were more likely than smokers to offer cessation advice (p < 0.0001). Conclusion: A high smoking prevalence was determined among students, which should be addressed by boosting tobacco awareness efforts and enforcing strict anti-smoking policies on college premises.
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Dixit, Abhinav, Yogendra Raj Singh, Prasenjit Mitra, and Praveen Sharma. "Smoking induced alterations in auditory pathways: Evidence from evoked potentials." Indian Journal of Physiology and Pharmacology 64 (July 31, 2020): 118–22. http://dx.doi.org/10.25259/ijpp_104_2020.

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Objectives: Auditory Brainstem Responses (ABR) are used for assessment of integrity of auditory pathway. Given the widespread prevalence of smoking, interpretation of ABR data must be done in light of smoker/nonsmoker status. Materials and Methods: The present study was done on 30 normal, healthy non-smoker males and 30 healthy, smoker males in the age group of 18-40 years. Approval of Institutional Ethics Committee and written informed consent was taken from all volunteers. ABR was recorded using Biopac MP 150 system. The recordings were done in a state of abstinence of 12 hours (chronic smoking state) and 10 minutes after smoking (acute smoking state). In the non-smoker group, only one set of recordings were done. The peak latencies and amplitudes of the ABR waves were analyzed. Results: Analysis of data revealed a significant prolongation of the latencies of wave I and II and Inter-peak latency I-III in chronic smoking state as compared to non-smoking state. The amplitudes of waves I, II and V were also significantly reduced in chronic smoking state. A comparison between the non-smokers and acute smoking state revealed significantly prolonged latency of waves I and II in the acute smoking state accompanied by a significant decrease in the amplitudes of all waves of ABR. There were no significant differences in latencies and amplitudes of the chronic and acute smoking state. Conclusion: Smoking led to an increase in latency and decrease in amplitude, thereby indicating that it adversely affected the auditory pathway. Thus, interpretation of data of ABR should consider smoking as a confounding variable.
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Gallaway, Michael Shayne, Bin Huang, Quan Chen, Tom Tucker, Jaclyn McDowell, Eric Durbin, David Siegel, and Eric Tai. "Identifying Smoking Status and Smoking Cessation Using a Data Linkage Between the Kentucky Cancer Registry and Health Claims Data." JCO Clinical Cancer Informatics, no. 3 (December 2019): 1–8. http://dx.doi.org/10.1200/cci.19.00011.

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PURPOSE Linkage of cancer registry data with complementary data sources can be an informative way to expand what is known about patients and their treatment and improve delivery of care. The purpose of this study was to explore whether patient smoking status and smoking-cessation modalities data in the Kentucky Cancer Registry (KCR) could be augmented by linkage with health claims data. METHODS The KCR conducted a data linkage with health claims data from Medicare, Medicaid, state employee insurance, Humana, and Anthem. Smoking status was defined as documentation of personal history of tobacco use (International Classification of Diseases, Ninth Revision [ICD-9] code V15.82) or tobacco use disorder (ICD-9 305.1) before and after a cancer diagnosis. Use of smoking-cessation treatments before and after the cancer diagnosis was defined as documentation of smoking-cessation counseling (Healthcare Common Procedure Coding System codes 99406, 99407, G0375, and G0376) or pharmacotherapy (eg, nicotine replacement therapy, bupropion, varenicline). RESULTS From 2007 to 2011, among 23,703 patients in the KCR, we discerned a valid prediagnosis smoking status for 78%. KCR data only (72%), claims data only (6%), and a combination of both data sources (22%) were used to determine valid smoking status. Approximately 4% of patients with cancer identified as smokers (n = 11,968) and were provided smoking-cessation counseling, and 3% were prescribed pharmacotherapy for smoking cessation. CONCLUSION Augmenting KCR data with medical claims data increased capture of smoking status and use of smoking-cessation modalities. Cancer registries interested in exploring smoking status to influence treatment and research activities could consider a similar approach, particularly if their registry does not capture smoking status for a majority of patients.
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NURLU USLU, Dilek, İsmail ARSLAN, Sadettin USLU, Gülay GÜLMEZ, Şevin DEMİR, and Oğuz TEKİN. "Sigara Kullanma Durumunun Aile Içi Fonksiyonlara Etkisi." Journal of Contemporary Medicine 12, no. 5 (September 30, 2022): 705–9. http://dx.doi.org/10.16899/jcm.1147330.

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Aim: Family is the most natural environment where people can meet their needs of love, compassion, affection and care for mental and physical health. In this study, we aim to investigate the relation between smoking and family functions. Material and Method: Ninety seven patients between 18-60 years age who were admitted to the Ankara Training and Research Hospital, live with at least one family member and agreed to participate in the study were included in this study. Cross-sectional, observational and analytic methods were applied. The recorded data of the participants were as follows: age, sex, occupation, marital status, education level, the family members whom living with, the status of smoking at home, chronic diseases and current medication. McMaster Model of Family Functioning (MMFF) and Fagerström Test for Nicotine Dependence (FTND) were used. Results: Statistically significant differences between MMFF scores of smoking patients in the subscales of “Roles” and “Affective Involvement” were found (p=0.004, p= 0.002, respectively). We have seen in the subscale of “Problem Solving” that single members were negatively affected (p=0.033). The negative effects of smoking were found to be decreasing by age in the “Communication” subscale (p=0.002). The “Roles” subscale was observed to be negatively disturbed in the group of smokers with chronic diseases(p=0,050). We also found that being single and having a chronic disease negatively affected “Affective Responsiveness” subscale (p=0.050, p=0.020, respectively). Conclusion: Smoking affects the family functions negatively. Thus, the fight against smoking might be thought to make a favorable effect on the family functions.
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Bargaoui, Z., K. Mzoughi, I. Zairi, and Y. Boukhobza. "Young physician smoking status." Archives of Cardiovascular Diseases Supplements 13, no. 2 (May 2021): 194. http://dx.doi.org/10.1016/j.acvdsp.2021.04.114.

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Дисертації з теми "Smoking statu"

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Mercelina-Roumans, Patricia E. A. M. "Smoking during pregnancy the haematological status of smoking and non-smoking pregnant women and their offspring /." Maastricht : Maastricht : UPM, Universitaire Pers Maastricht ; University Library, Maastricht University [Host], 1996. http://arno.unimaas.nl/show.cgi?fid=7388.

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Preston, Charles. "Analysing Risk Preferences and Time Preferences with respect to Smoking Status and Smoking Intensity." Master's thesis, Faculty of Commerce, 2019. http://hdl.handle.net/11427/30954.

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Smoking is a leading cause of death worldwide, and thus the behavioural components need to be understood to mitigate the damage caused by the practice. The relationship between smoking and factors such as risk preferences and time preferences has been the subject of a growing body of literature. This paper evaluates experimental data from smokers and nonsmokers at the University of Cape Town collected in 2016 and 2017. Maximum likelihood estimation is used to estimate models of risk preferences and time preferences. The results highlight that smokers are less risk averse than non-smokers; that smokers discount more heavily than non-smokers; that greater smoking intensity is correlated with lower risk aversion; and that greater smoking intensity is not related to discounting behaviour. In some specifications the relationship between smoking intensity and risk aversion is parabolic, and as such moderate smokers are less risk averse than heavy smokers and light smokers. In conclusion, smokers tend to discount more heavily than non-smokers, and lower smoking intensity is associated with greater risk aversion than higher smoking intensity.
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Reisi, Ayddin Grandjean Peter W. "Short-term changes in health status after cigarette smoking and moderate-intensity exercise." Auburn, Ala., 2005. http://repo.lib.auburn.edu/2005%20Fall/Thesis/REISI_AYDDIN_16.pdf.

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Thompson, Jennifer W. "Insurance status, health care access, and adolescent smoking initiation." CONNECT TO ELECTRONIC THESIS, 2007. http://dspace.wrlc.org/handle/1961/4144.

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Dimberio, Amy M. "Status of worksite smoking policies in Indiana manufacturing industries." Virtual Press, 1991. http://liblink.bsu.edu/uhtbin/catkey/774760.

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The purpose of this study was to assess the status of worksite smoking policies in Indiana's manufacturing industries and to describe the relationship between policy, workforce size, and manufacturing type. Of the 493 questionnaires distributed, 181 (36.7%) were returned. Approximately 67% percent of the industries reported having some type of restrictive policy with the majority of those policies not allowing smoking at the worksite except in designated areas. Most policies were developed within the last five years and were implemented due to a concern for employee health. Workforce size was directly related to the prevalence of significant restrictions. Those companies employing greater then 100 employees were the most likely to have a policy whereas the employing less than 11 were the least likely to have a policy. Standard industrial classifications 34 (fabricated metal products) and 35 (machinery, except electrical) had less restrictive policies as compared to other S.I.C. classifications. A follow up on 10% (n=30) of the nonrespondents yielded similar results to those who did respond.
Department of Physiology and Health Science
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McIntire, Jean. "State anti-smoking legislation and the demand for cigarettes." Oberlin College Honors Theses / OhioLINK, 1994. http://rave.ohiolink.edu/etdc/view?acc_num=oberlin1357151500.

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Butler, Kevin Allan. "Effects of smoking status on punishment sensitivity and cognitive control." Thesis, University of Brighton, 2013. https://research.brighton.ac.uk/en/studentTheses/70036943-151e-4e81-a084-35c84fd246f4.

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A hallmark feature of addiction, including nicotine dependence, is persistent drug use despite the adverse consequences of such behaviour. This implies that there may be deficient processing of punishment in dependent individuals. However, despite growing bodies of research investigating both altered reward sensitivity and error monitoring deficits there is a paucity of empirical work investigating sensitivity to punishment in nicotine dependence. The main aim of this thesis was therefore to investigate the effects of satiation level (abstinent/satiated) and smoking history (current/former/never) on behavioural measures of punishment sensitivity. Furthermore, the related phenomenon of loss aversion (the tendency for individuals to be more sensitive to losses compared to gains) was investigated in former smokers alongside a range of self-control indices.
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Conard, Mark Wayne Haddock C. Keith. "The effects of obesity and smoking status on the health status of congestive heart failure patients." Diss., UMK access, 2005.

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Thesis (Ph. D.)--Dept. of Psychology. University of Missouri--Kansas City, 2005.
"A dissertation in psychology." Advisor: C. Keith Haddock. Typescript. Vita. Title from "catalog record" of the print edition Description based on contents viewed June 20, 2006. Includes bibliographical references (leaves 91-113). Online version of the print edition.
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Gilbreath, Donna Arlene. "PROJECTING THE RESULTS OF STATE SMOKING BAN INITIATIVES USING CARTOGRAPHIC ANALYSIS." UKnowledge, 2007. http://uknowledge.uky.edu/gradschool_theses/453.

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Because tobacco smoking causes 430,000 U.S. deaths annually, wide-reaching smoking bans are needed. Bans reduce cigarette consumption, encourage cessation, protect nonsmokers from second-hand smoke, and promote an attitude that smoking is undesirable. Therefore, bans may prevent future generations from suffering many smoking-related health problems. The federal government has not implemented widereaching smoking bans so it falls on individual states, counties, or communities to devise appropriate smoking policy. To date, smoking policy has been determined by legislators, who may have conflicts that prevent them from acting in the publics best interest. However, this method of implementing smoking policy may be changing. In 2005, Washington residents voted by ballot initiative to strengthen existing state smoking regulations. In 2006, Arizona, Nevada, and Ohio residents voted by ballot initiatives to implement strict statewide smoking bans. This research presents a way to predict how residents of other states might vote if given the opportunity. Two research hypotheses are tested and accepted: a positive relationship between favorable votes and urbanness, and a preference favoring smoking bans where smoking regulations already exist. Finally, a projection is made that a smoking ban vote in Kentucky would yield favorable results, and a map showing projected county votes is provided.
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Feng, Shengchuang. "Association between Reward Sensitivity and Smoking Status in Major Depressive Disorder." Thesis, Virginia Tech, 2017. http://hdl.handle.net/10919/79954.

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Chronic nicotine use has been linked to increased sensitivity to nondrug rewards as well as improvement in mood among individuals with depression, and these effects have been hypothesized to be mediated through alternations in striatal dopamine activity. Similarly, chronic nicotine use is hypothesized to influence the mechanisms by which healthy and depressed individuals learn about rewards in their environment. However, the specific behavioral and neural mechanisms by which nicotine influences the learning process is poorly understood. Here, we use a probabilistic learning task, functional magnetic resonance imaging and neurocomputational analyses, to show that chronic smoking is associated with higher reward sensitivity, along with lower learning rate and striatal prediction error signal. Further, we show that these effects do not differ between individuals with and without major depressive disorder (MDD). In addition, a negative correlation between reward sensitivity and striatal prediction error signal was found among smokers, consistent with the suggestion that enhanced tonic dopamine associated with increased reward sensitivity leads to an attenuation of phasic dopamine activity necessary for updating of reward value during learning.
Master of Science
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Книги з теми "Smoking statu"

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National Center for Chronic Disease Prevention and Health Promotion (U.S.). Office on Smoking and Health, ed. State tobacco control highlights--1999. Atlanta, GA: Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Office on Smoking and Health, 1999.

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United States. Office on Smoking and Health, ed. State & local programs on smoking and health. 2nd ed. [Bethesda, Md.?]: bOffice on Smoking and Health, U.S. Dept. of Health and Human Services, 1986.

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Richey, Roseanne. Healthy lifestyles: A report of the Smoking attitudes and practices survey, Washington State, 1989. Olympia, Wa. [i.e. Wash.]: Dept. of Health, 1990.

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4

Sondhi, Kiran. Pharmacotherapy of smoking cessation: Current and future status. Hauppauge, N.Y: Nova Science Publishers, 2011.

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5

N, Breukelman Fred, Delaware. Division of Public Health., and Delaware. Dept. of Health and Social Services., eds. Smoking in Delaware: Economic costs and deaths attributable to cigarette smoking in the state, 1985. [Delaware]: Division of Public Health, 1988.

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Public Health Council (N.Y.). In the matter of Part 25--Regulation on smoking, the proposed amendment to the New York State Sanitary Code. [Albany, N.Y.?]: W. Keene-Sanel, reporter, 1987.

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Smoking, Tobacco and Cancer Program (U S. ). Smoking, Tobacco, and Cancer Program: 1985-1989 status report. [Bethesda, Md.]: U.S. Dept. of Health and Human Services, Public Health Service, National Institutes of Health, National Cancer Institute, 1990.

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Washington (State). Dept. of Health. and Washington (State). Tobacco Prevention and Control Council., eds. A tobacco prevention and control plan for Washington State. [Olympia, Wash: Washington State Dept. of Health, Washington Tobacco Prevention and Control Council, 1999.

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New York (State). Bureau of Epidemiology and Communicable Disease Control., ed. The impact of cigarette smoking in New York State. [Albany?, NY: Bureau of Communicable Disease Control?, 1986.

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Public Health Council (N.Y.). Public hearing in the matter of--An amendment to the State Sanitary Code proposed by the Public Health Council--limited smoking in indoor areas. Buffalo, N.Y: J.W. Hunt and Associates, 1987.

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Частини книг з теми "Smoking statu"

1

La Torre, Giuseppe, and Brigid Unim. "State of the Art of Smoking Habits in the World." In Smoking Prevention and Cessation, 31–55. Boston, MA: Springer US, 2013. http://dx.doi.org/10.1007/978-1-4614-7046-5_2.

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Golub, Mari S. "Cigarette Smoking, Substance Abuse, Nutritional Status, and Immune Function." In Nutrition and Immunology, 275–80. Totowa, NJ: Humana Press, 2000. http://dx.doi.org/10.1007/978-1-59259-709-3_22.

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Dagotto, Elbio. "Charge-Ordered Nanoclusters above T C: the Smoking Gun of Phase Separation?" In Springer Series in Solid-State Sciences, 361–75. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-05244-0_19.

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Nikolova, Ivelina, Svetla Boytcheva, Galia Angelova, and Zhivko Angelov. "Combining Structured and Free Textual Data of Diabetic Patients’ Smoking Status." In Artificial Intelligence: Methodology, Systems, and Applications, 57–67. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-44748-3_6.

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Elam, Mark, and Andreas Gunnarsson. "The Advanced Liberal Logic of Nicotine Replacement and the Swedish Invention of Smoking as Addiction." In Transformations of the Swedish Welfare State, 137–52. London: Palgrave Macmillan UK, 2012. http://dx.doi.org/10.1057/9780230363953_9.

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Arciti, C., M. Pistone, P. Persici, A. Barbieri, S. Robbiati, P. Salvadori, R. Masironi, M. Quaranta, and L. Santi. "A Report on the Status of Tobacco Smoking Among the Health Profession in Italy." In Tobacco and Health, 751–54. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-1-4615-1907-2_166.

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Grande, Giuseppe, and Carlo Foresta. "Male Reproduction: From Pathophysiology to Clinical Assessment." In Practical Clinical Andrology, 161–72. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-11701-5_12.

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AbstractMale infertility may depend by pre-testicular (for example, hypothalamic or pituitary diseases), testicular, and post-testicular (for example, obstructive pathologies of seminal ducts) causes. However, a large proportion (30–60%) of infertile males does not receive a clear diagnosis. In these cases, generally reported as idiopathic infertility, there is a strong suspicion of genetic factors yet to be discovered. Furthermore, male fertility may be influenced by a host of lifestyle risk factors such as environment, nutrition, exposure to infections, and smoking. Therefore, lifestyle and environment risk factors may have a role in many cases of idiopathic male infertility.In this chapter, we focus our attention on these risk factors, discussing three paradigmatic situations of interference between environment/lifestyle and male fertility, thus providing the pathophysiological basis of their detrimental impact on male fertility: exposure to environmental endocrine disruptors, such as perfluoro-alkyl substances (PFAS); exposure to viruses, such as HPV; effect of nutritional status and obesity.
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Yen, D. D., S. Y. Huang, A. P. Ma, H. H. Chou, M. H. Yang, and T. P. Lo. "Smoking behaviour and mental health status among senior high-school and vocational high-school students in Taiwan metropolitan areas." In Tobacco: The Growing Epidemic, 282–83. London: Springer London, 2000. http://dx.doi.org/10.1007/978-1-4471-0769-9_120.

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Sarrafzadegan, N., S. Mostafavi, and F. Tafazzoly. "Prevalence of passive smoking among adolescents in relation to the education and socioeconomic status of parents in Isfahan, Iran." In Tobacco: The Growing Epidemic, 171. London: Springer London, 2000. http://dx.doi.org/10.1007/978-1-4471-0769-9_68.

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Starks, Tricia. "Epilogue." In Smoking under the Tsars, 238–46. Cornell University Press, 2018. http://dx.doi.org/10.7591/cornell/9781501722059.003.0007.

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The onset of World War I brought prohibition to alcohol but an explosion of tobacco use on the front lines, with even government sponsored tobacco collection drives, yet the Bolshevik Revolution, carried the downfall of the tobacco queens and ushered into power a new state with its own conflicted relationship to tobacco. The participation of the tobacco workers in the Kronstadt rebellion spurred attacks on women workers as backward and erased them from the record. The triumph of public health as a major policy point of the revolution closed one chapter on tobacco’s relationship to state and citizen and brought a new era for anti-tobacco advocacy although the continued situation of tobacco use within the disease cluster of neurasthenia did little to change opinions on therapy. Despite the avowed interest of the state, the anti-tobacco drive floundered as smoking became more popular, ubiquitous, and profitable.
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Тези доповідей конференцій з теми "Smoking statu"

1

Chun, EM, DI Jo, JY Kim, YY Kim, TH Jung, and CM Ahan. "Analysis of Smoking Status and Attitude toward Smoking Cessation among Korean Pulmonologists." In American Thoracic Society 2009 International Conference, May 15-20, 2009 • San Diego, California. American Thoracic Society, 2009. http://dx.doi.org/10.1164/ajrccm-conference.2009.179.1_meetingabstracts.a2623.

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2

han, yeji, and Eun Mi Chun. "Smoking status, knowledge and attitudes toward smoking cessation among general hospital worker." In ERS International Congress 2017 abstracts. European Respiratory Society, 2017. http://dx.doi.org/10.1183/1393003.congress-2017.pa1278.

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"INSOMNIA PREVALENCE AND TOBACCO SMOKING ASSOCIATION AMONG JORDANIAN MEDICAL STUDENTS." In International Conference on Public Health and Humanitarian Action. International Federation of Medical Students' Associations - Jordan, 2022. http://dx.doi.org/10.56950/ntuz9578.

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Background: Insomnia is the most common sleep complaint; no doubt it is on the rise among medical students throughout their overwhelming long journey. Smoking is defined as burning plant material, mostly tobacco, which is known to contain nicotine. Previous studies found that nicotine had a negative impact on sleep architecture. Accordingly, Smokers are more likely to report clinical insomnia than nonsmokers. The current study aimed to determine the impact of smoking on insomnia among medical students at Jordan University of Science and Technology (JUST). Objective: Both Insomnia and smoking tobacco are currently two major issues in our society. This study aims to see if there’s any possible association between the two so we be could be able to overcome them. Method: We conducted an observational cross-sectional study, medical students (n=140) filled an online questionnaire including demographic data, BMI, the 7-item insomnia severity index scale questions accredited by the American Psychological Association that was used to assess Insomnia and categorized as none, subthreshold, moderate and severe, and 6 self-designed questions about smoking (status, types, behavior). Statistical analysis was performed by means of descriptive tables and Chi-square test using IBM SPSS software. Results: There were 140 responses (F=52.1%, M=47.9%). The prevalence of insomnia among participants regardless of their smoking status showed that (44.3%) had subthreshold insomnia whereas (21.4%) had moderate-to-severe insomnia. About (20.7%) of all participants are current smokers; (24.1%) of them had moderate to severe clinical insomnia while (75.9%) have no clinically significant and subthreshold insomnia. The chi-square test results had shown no statistically significant association between prevalence of insomnia and smoking status (p=0.432). Conclusion: This study suggests there is no association between smoking and insomnia prevalence among Jordanian medical students. Considering the small sample size, prospective cohort studies of larger sample sizes are needed to explore details of this association. Keywords: Insomnia, Smoking, Sleep Disturbance.
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Baugh, A., H. Simo, W. Barnett, and A. S. Flora. "The Smoking Gun: A Multi-Variate Discriminant Analysis Model for Predicting Smoking Status." In American Thoracic Society 2019 International Conference, May 17-22, 2019 - Dallas, TX. American Thoracic Society, 2019. http://dx.doi.org/10.1164/ajrccm-conference.2019.199.1_meetingabstracts.a3003.

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Puebla Neira, D. A., A. Watts, J. Seashore, E. S. Hsu, Y. F. Kuo, and G. Sharma. "Association of Smoking Status with Severe COVID-19." In American Thoracic Society 2021 International Conference, May 14-19, 2021 - San Diego, CA. American Thoracic Society, 2021. http://dx.doi.org/10.1164/ajrccm-conference.2021.203.1_meetingabstracts.a3088.

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Baba, Tomohisa, Takashi Ogura, Hideya Kitamura, Satoshi Ikeda, Oh Yamaguchi, Masahiro Yoshida, Ryo Ogata, Ryo Okuda, Akifumi Kato, and Tamiko Takemura. "Smoking Status In Surgical Proven Idiopathic Pulmonary Fibrosis." In American Thoracic Society 2012 International Conference, May 18-23, 2012 • San Francisco, California. American Thoracic Society, 2012. http://dx.doi.org/10.1164/ajrccm-conference.2012.185.1_meetingabstracts.a4385.

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Durmusoglu, Zeynep D. U., and Pinar Kocabey Ciftci. "Classification of smoking status: The case of Turkey." In 2016 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, 2016. http://dx.doi.org/10.1109/ssci.2016.7849889.

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Islami, Shilfia Ulfa, Hanung Prasetya, and Bhisma Murti. "Factors Affecting Smoking Behavior High School Children in Dumai, Riau: Application of Theory Planned Behavior." In The 7th International Conference on Public Health 2020. Masters Program in Public Health, Universitas Sebelas Maret, 2020. http://dx.doi.org/10.26911/the7thicph.02.66.

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Background: Smoking in adolescents has negative effects on their health. Exposure to nicotine during adolescence has lasting effects on brain development. They are also at risk of asthma and impaired lung function, with a knock-on effect on their participation in physical activities. This study aimed to determine factors affecting smoking behavior high school children in Dumai, Riau. Subjects and Method: A cross sectional study was conducted at 23 Senior high schools and 12 Junior high schools in Dumai, Riau, Indonesia, from September to October 2019. A sample of 200 male adolescents aged 12-18 years was selected by stratified random sampling. The dependent variable was smoking behavior. The independent variables were family income, pocket money, media exposure, peer, parental role, intention, attitude, subjective norm, and perceived behavior control. The data were collected by questionnaire and analyzed by a multiple logistic regression run on Stata 13. Results: Smoking behavior increased with high family income (OR= 4.85; 95% CI= 1.10 to 21.41; p= 0.037), high pocket money (OR= 10.34; 95% CI= 2.32 to 45.91; p= 0.002), high media exposure (OR= 8.03; 95% CI= 1.79 to 35.92; p= 0.006), peer (OR= 8.86; 95% CI= 1.76 to 26.66; p= 0.012), smoking parents (OR= 7.91; 95% CI= 1.84 to 34.04; p= 0.005), and positive attitude (OR= 10.5; 95% CI= 2.22 to 49.79; p= 0.003). Smoking behavior decreased with weak perceived behavior control (OR= 0.11; 95% CI= 0.02 to 0.50; p= 0.004), weak intention (OR= 0.03; 95% CI= 0.005 to 0.22; p<0.001), and weak subjective norm (OR= 0.06; 95% CI= 0.01 to 0.38; p=0.005). Conclusion: Perilaku merokok pada remaja dipengaruhi oleh pendapatan orang tua, uang saku, paparan media, teman sebaya, pengaruh orang tua, sikap, persepsi kendali perilaku, niat, dan norma subjektif. Keywords: smoking behavior, adolescents Correspondence: Shilfia Ulfa Islami. Masters Program in Public Health, Universitas Sebelas Maret. Jl. Ir. Sutami 36A, Surakarta 57126, Central Java, Indonesia. Email: shilfiaulfa17@gmail.com. Mobile: 085219722029. DOI: https://doi.org/10.26911/the7thicph.02.66
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Karadogan, Dilek, Özgür Önal, and Yalçin Kanbay. "How does reimbursement status affect the smoking cessation interventions?" In ERS International Congress 2018 abstracts. European Respiratory Society, 2018. http://dx.doi.org/10.1183/13993003.congress-2018.pa1228.

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Park, Joo Hun, Seung Soo Sheen, Keu Sung Lee, Eunyoung Lee, and Bumhee Park. "Blood lead levels based on smoking status and COPD." In ERS International Congress 2019 abstracts. European Respiratory Society, 2019. http://dx.doi.org/10.1183/13993003.congress-2019.pa2840.

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Звіти організацій з теми "Smoking statu"

1

Boersma, Peter. NHSR 153: Multiple Chronic Conditions Among Veterans and Nonveterans: United States, 2015–2018. National Center for Health Statistics, 2021. http://dx.doi.org/10.15620/cdc:101659.

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This report describes the prevalence of multiple (two or more) chronic conditions (MCC) among veterans and nonveterans and examines whether differences by veteran status may be explained by differences in sociodemographic composition, smoking behavior, and weight status based on body mass index
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2

Bitler, Marianne, Christopher Carpenter, and Madeline Zavodny. Effects of Venue-Specific State Clean Indoor Air Laws on Smoking-Related Outcomes. Cambridge, MA: National Bureau of Economic Research, August 2009. http://dx.doi.org/10.3386/w15229.

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3

Martin, Joyce, Michelle Osterman, and Anne Driscoll. Declines in Cigarette Smoking During Pregnancy in the United States, 2016–2021. National Center for Health Statistics (U.S.), January 2023. http://dx.doi.org/10.15620/cdc:123360.

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This report describes changes in the number and percentage of mothers who smoked cigarettes at any time during pregnancy in the United States from 2016 to 2021 and changes between 2016 and 2021 in the percentage of mothers who smoked during pregnancy by maternal age, race and Hispanic origin, and state of residence.
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4

Carpenter, Christopher, and Philip Cook. Cigarette Taxes and Youth Smoking: New Evidence from National, State, & Local Youth Risk Behavior Surveys. Cambridge, MA: National Bureau of Economic Research, April 2007. http://dx.doi.org/10.3386/w13046.

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5

ZHAO, JIE, LIANHUA YE, WEI WANG, YANTAO YANG, ZHENGHAI SHEN, and SUNYIN RAO. Surgical Prognostic Factors of Second Primary Lung Cancer: A Systematic Review and Meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, November 2022. http://dx.doi.org/10.37766/inplasy2022.11.0047.

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Review question / Objective: The objective of this study was to explore the effects of different surgical strategies and potential prognostic factors on the prognosis of patients with SPLC through a systematic review and meta-analysis.Prognostic factors included surgical approach, type of SPLC(Synchronous and metachronous),histology,disease-free interval (DFI),tumor size,CT morphology, lymph node metastasis status, smoking status, gender. Condition being studied: With the development of imaging technology and better survival after primary lung cancer, the detection rate of second primary lung cancer (SPLC) has been increasing. At present, the staging and treatment of the second primary lung cancer are still controversial. Although surgery is widely accepted as the main treatment method, there is no unified diagnostic criteria and diagnosis and treatment strategy. The objective of this study was to explore the effects of different surgical strategies and potential prognostic factors on the prognosis of patients with SPLC through a systematic review and meta-analysis.
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Lin, Kehai, Jie Lin, Kunpeng Du, Chengcong Chen, Qi Yi, Jinyun Tan, Ying Deng, Zhong Huang, and Yawei Yuan. Smoking status in the first line treatment of advanced ALK-positive non-small cell lung cancer : a Bayesian network meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, August 2021. http://dx.doi.org/10.37766/inplasy2021.8.0009.

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Xie, Tongji, Chengcheng Liu, Ziyi Xu, Zihua Zou, Yixiang Zhu, Junling Li, Le Wang, and Puyuan Xing. Smoking status in the first line treatment of advanced EGFR-mutant non-small cell lung cancer: a network meta-analysis of randomized controlled trials. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, October 2020. http://dx.doi.org/10.37766/inplasy2020.10.0060.

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8

Dang, Jun, Linzheng Dai, Bo Jin, Tingting Liu, and Jun Chen. The effect of smoking status on efficacy of immune checkpoint inhibitors in metastatic non-small cell lung cancer: a systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, April 2021. http://dx.doi.org/10.37766/inplasy2021.4.0025.

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9

NHSR 153: Multiple Chronic Conditions Among Veterans and Nonveterans: United States, 2015–2018. National Center for Health Statistics, February 2021. http://dx.doi.org/10.15620/cdc:101129.

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Анотація:
This report describes the prevalence of multiple (two or more) chronic conditions (MCC) among veterans and nonveterans and examines whether differences by veteran status may be explained by differences in sociodemographic composition, smoking behavior, and weight status based on body mass index.
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