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Journal articles on the topic 'Smoking statu'

Author: Grafiati

Published: 11 March 2023

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1

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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2

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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3

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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4

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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5

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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6

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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8

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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11

Lee, Dwight R., Robert D. Tollison, and Richard E. Wagner. "Smoking and the State." Southern Economic Journal 57, no. 2 (October 1990): 569. http://dx.doi.org/10.2307/1060646.

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12

McCarthy, William J., Hozefa A. Divan, and Dipanwita B. Shah. "IMMIGRANT STATUS AND SMOKING." American Journal of Public Health 93, no. 10 (October 2003): 1616. http://dx.doi.org/10.2105/ajph.93.10.1616.

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13

Laaksonen, Mikko, Ossi Rahkonen, Sakari Karvonen, and Eero Lahelma. "Socioeconomic status and smoking." European Journal of Public Health 15, no. 3 (March 8, 2005): 262–69. http://dx.doi.org/10.1093/eurpub/cki115.

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14

Ravenholt, R. T. "Radon and Smoking Status." JAMA: The Journal of the American Medical Association 262, no. 24 (December 22, 1989): 3403. http://dx.doi.org/10.1001/jama.1989.03430240037012.

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15

Kuller, Lewis H. "Radon and Smoking Status." JAMA: The Journal of the American Medical Association 262, no. 24 (December 22, 1989): 3403. http://dx.doi.org/10.1001/jama.1989.03430240037013.

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16

Hill, Pamela D., and Jean C. Aldag. "Smoking and breastfeeding status." Research in Nursing & Health 19, no. 2 (April 1996): 125–32. http://dx.doi.org/10.1002/(sici)1098-240x(199604)19:2<125::aid-nur4>3.0.co;2-o.

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17

Tyc, Vida L., Wendy Hadley, Deanna Allen, Sherri Varnell, Sydney Ey, Shesh N. Rai, and Shelly Lensing. "Predictors of smoking intentions and smoking status among nonsmoking and smoking adolescents." Addictive Behaviors 29, no. 6 (August 2004): 1143–47. http://dx.doi.org/10.1016/j.addbeh.2004.03.007.

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18

Jun, Tomi, Teja Ganta, Qian Qin, Vaibhav G. Patel, Bo Wang, George Mellgard, Mahalya Gogerly-Moragoda, et al. "Smoking status and immunotherapy outcomes in smoking-associated cancers." Journal of Clinical Oncology 38, no. 15_suppl (May 20, 2020): e15097-e15097. http://dx.doi.org/10.1200/jco.2020.38.15_suppl.e15097.

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e15097 Background: Improved immunotherapy (IO) outcomes have been observed among non-small cell lung cancer patients with a current or former smoking history. This is thought to be a consequence of increased immunogenic mutation burden among smoking-related cancers. We set out to explore the association between smoking status and immunotherapy outcomes in lung and other smoking-associated cancers. Methods: This was a retrospective analysis of 200 consecutive patients with advanced, smoking-associated solid tumor types, treated with single-agent anti-PD1/PDL1 therapy at a single center between July 2014 and February 2018. The primary outcome was overall survival from date of IO initiation. The secondary outcome was overall response, defined as radiographic complete response or partial response, by RECIST 1.1 criteria. The primary predictor was smoking status (former/current smoker vs. never smoker). The primary and secondary outcomes were analyzed using multivariable Cox proportional hazards models and multivariable logistic regression models, respectively. Models were adjusted for age and sex, and stratified by cancer type. Results: The majority of patients were male (64%) with a history of smoking (72%); the average age was 67.1 ± 11.4 years. Cancer types represented were: non-small cell lung cancer (NSCLC, N = 81), hepatocellular carcinoma (HCC, N = 41), urothelial carcinoma (BLCA, N = 39), head and neck squamous cell carcinoma (HNSC, N = 21), and renal cell carcinoma (RCC, N = 18). Over a median follow-up of 11.3 months (range 0.5-53.2), there were 96 deaths and 27% of evaluable patients achieved radiographic response. Response was not evaluable in 27 patients. In multivariable regression analysis, smoking status was not significantly associated with overall survival nor overall response in any cancer type examined (Table). Conclusions: Smoking status was not associated with outcomes in our cohort of IO-treated patients with smoking-associated cancers, though sample size was limited. [Table: see text]

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19

Goel, Sonu, Jaya Prasad Tripathy, Rana J. Singh, and Pranay Lal. "Smoking trends among women in India: Analysis of nationally representative surveys (1993–2009)." South Asian Journal of Cancer 03, no. 04 (October 2014): 200–202. http://dx.doi.org/10.4103/2278-330x.142958.

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Abstract Background: There is growing concern among policy makers with respect to alarming growth in smoking prevalence among women in the developing countries. Methods: Using disaggregated data from five nationally representative surveys: Global Adult Tobacco Survey 2010, National Family Health Survey-III (NFHS-III) 2004-2005, NFHS-II 1998-1999, National Sample Survey (NSS) 52 nd Round 1995-1996, NSS 50 th Round 1993-1994 we analysed female smoking trend from 1993-2009. Tobacco use among females was monitored for almost two decades focusing on gender, literacy, and state-specific trends among respondents aged >15 years. Results: Smoking use among women has doubled from 1.4% to 2.9% (P < 0.001) during the period 2005-2010. The prevalence of smoking increased with decrease in per capita State Gross Domestic Product and literacy status for both men and women. Conclusion: As the overall smoking prevalence grows, female smoking is growing at a faster rate than smoking among males, which is an emerging concern for tobacco control in India and requires the attention of policymakers.

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20

Jay, Stephen J. "Depression, Smoking, and Health Status." Annals of Internal Medicine 127, no. 12 (December 15, 1997): 1131. http://dx.doi.org/10.7326/0003-4819-127-12-199712150-00025.

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21

Forrest, A. R. W., Helen R. Hopkins, and Kathryn Ward. "Smoking status and hair cotinine." Addiction 85, no. 12 (December 1990): 1663–64. http://dx.doi.org/10.1111/j.1360-0443.1990.tb01658.x.

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Amir, LH. "Smoking status of breastfeeding women." Acta Paediatrica 88, no. 12 (January 2, 2007): 1412–13. http://dx.doi.org/10.1111/j.1651-2227.1999.tb01063.x.

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23

Gill, Geoff, Ian MacFarlane, and Aziz Ismail. "Pitfalls of Measuring Smoking Status." Tropical Doctor 31, no. 2 (April 2001): 117. http://dx.doi.org/10.1177/004947550103100226.

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Campbell, Elizabeth, Rob Sanson-Fisher, and Raoul Walsh. "Smoking status in pregnant women." Addictive Behaviors 26, no. 1 (January 2001): 1–9. http://dx.doi.org/10.1016/s0306-4603(00)00070-8.

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Stevens, Maria A., Kari G. Rabe, Ben Boursi, Aarti Kolluri, Dhruv P. Singh, William R. Bamlet, and Gloria M. Petersen. "Accuracy of Smoking Status Reporting." Mayo Clinic Proceedings: Innovations, Quality & Outcomes 4, no. 6 (December 2020): 801–9. http://dx.doi.org/10.1016/j.mayocpiqo.2020.07.010.

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Kawada, Tomoyuki. "Smoking status and diet quality." Clinical Nutrition 37, no. 2 (April 2018): 760. http://dx.doi.org/10.1016/j.clnu.2018.01.004.

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27

Butler, Keith. "The Moral Status of Smoking." Social Theory and Practice 19, no. 1 (1993): 1–26. http://dx.doi.org/10.5840/soctheorpract19931915.

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Balarajan, R., P. Yuen, and B. R. Bewley. "Smoking and state of health." BMJ 291, no. 6510 (December 14, 1985): 1682. http://dx.doi.org/10.1136/bmj.291.6510.1682.

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29

Strickland, Daniel, Karen Graves, and Harry Lando. "Smoking status and dietary fats." Preventive Medicine 21, no. 2 (March 1992): 228–36. http://dx.doi.org/10.1016/0091-7435(92)90021-9.

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30

Lee, Amanda J., Iain K. Crombie, William C. S. Smith, and Hugh D. Tunstall-Pedoe. "Cigarette smoking and employment status." Social Science & Medicine 33, no. 11 (January 1991): 1309–12. http://dx.doi.org/10.1016/0277-9536(91)90080-v.

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31

Roscoe, Robert J. "Radon and Smoking Status-Reply." JAMA: The Journal of the American Medical Association 262, no. 24 (December 22, 1989): 3404. http://dx.doi.org/10.1001/jama.1989.03430240037014.

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32

Parekh, Trisha M., Chengyi Wu, Leslie A. McClure, Virginia J. Howard, Mary Cushman, Angela M. Malek, Kathleen F. Harrington, Andrea L. Cherrington, Mark T. Dransfield, and Smita Bhatia. "Determinants of cigarette smoking status in a national cohort of black and white adult ever smokers in the USA: a cross-sectional analysis of the REGARDS study." BMJ Open 9, no. 5 (May 2019): e027175. http://dx.doi.org/10.1136/bmjopen-2018-027175.

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ObjectivesWhile awareness of cigarette smoking’s harmful effects has increased, determinants associated with smoking status remain understudied, including potential racial differences. We aim to examine factors associated with former versus current smoking status and assess whether these associations differed by race.SettingWe performed a cross-sectional analysis using the population-based Reasons for Geographic and Racial Differences in Stroke(REGARDS)study.Outcome measuresLogistic regression was used to calculate the OR of former smoking status compared with current smoking status with risk factors of interest. Race interactions were tested using multiplicative interaction terms.Results16 463 participants reported smoking at least 100 cigarettes in their lifetime. Seventy-three per cent (n=12 067) self-reported former-smoker status. Physical activity (reference (REF) <3×/week; >3×/week: OR=1.26, 95% CI 1.11 to 1.43), adherence to Mediterranean diet (REF: low; medium: OR=1.46, 95% CI 1.27 to 1.67; high: OR=2.20, 95% CI 1.84 to 2.64), daily television viewing time (REF: >4 hours; <1 hour: OR=1.32, 95% CI 1.10 to 1.60) and abstinence from alcohol use (REF: heavy; none: OR=1.50, 95% CI 1.18 to 1.91) were associated with former-smoker status. Male sex, higher education and income $35 000–$74 000 (REF: <$20 000) were also associated with former-smoker status. Factors associated with lower odds of reporting former-smoker status were younger age (REF: ≥65 years; 45–64 years: OR=0.34, 95% CI 0.29 to 0.39), black race (OR=0.62, 95% CI 0.53 to 0.72) and single marital status (REF: married status; OR=0.66, 95% CI 0.51 to 0.87), being divorced (OR=0.60, 95% CI 0.50 to 0.72) or widowed (OR=0.70, 95% CI 0.57 to 0.85). Significant interactions were observed between race and alcohol use and dyslipidaemia, such that black participants had higher odds of reporting former-smoker status if they were abstinent from alcohol (OR=2.32, 95% CI 1.47 to 3.68) or had a history of dyslipidaemia (OR=1.31, 95% CI 1.06 to 1.62), whereas these relationships were not statistically significant in white participants.ConclusionEfforts to promote tobacco cessation should consist of targeted behavioural interventions that incorporate racial differences.

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Thai, Chan L., Kisha I. Coa, and Annette R. Kaufman. "Implicit theories of smoking and association with current smoking status." Journal of Health Psychology 23, no. 9 (May 22, 2016): 1234–39. http://dx.doi.org/10.1177/1359105316648483.

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Implicit theories of smoking refer to people’s beliefs about whether smoking behavior is something that is changeable (incremental belief) or fixed (entity belief). This study examines implicit theories of smoking and its association with smoking behavior in a nationally representative sample of US adults using data from the Health Information National Trends Survey. The current results show that implicit theories of smoking are associated with smoking. Among former smokers, 90 percent endorsed an incremental belief about smoking compared to 70 percent of current smokers. Our study provides initial evidence for the role of implicit theories of smoking as a psychological factor associated with smoking behavior.

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Henriksen, Lisa, and Christine Jackson. "Anti-Smoking Socialization: Relationship to Parent and Child Smoking Status." Health Communication 10, no. 1 (January 1998): 87–101. http://dx.doi.org/10.1207/s15327027hc1001_5.

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35

Ebina, Toshiaki. "Smoking and Incident Hypertension ― Importance of Cotinine-Verified Smoking Status ―." Circulation Journal 82, no. 6 (May 25, 2018): 1510–12. http://dx.doi.org/10.1253/circj.cj-18-0399.

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Kristiansen, Connie M. "Salient beliefs regarding smoking: Consistency across samples and smoking status." Journal of the Institute of Health Education 25, no. 2 (January 1987): 73–76. http://dx.doi.org/10.1080/03073289.1987.10805634.

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37

Dwyer, Trudy, Julie Bradshaw, William K. Mummery, Kerry R. Searl, Dolene Rossi, and Marc Broadbent. "Public support for anti-smoking legislation varies with smoking status." Australian Journal of Rural Health 16, no. 4 (August 2008): 231–36. http://dx.doi.org/10.1111/j.1440-1584.2008.00959.x.

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38

Romberger, Debra J., and Kathleen Grant. "Alcohol consumption and smoking status: the role of smoking cessation." Biomedicine & Pharmacotherapy 58, no. 2 (March 2004): 77–83. http://dx.doi.org/10.1016/j.biopha.2003.12.002.

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39

Perkins, Kenneth A., and Carolyn Fonte. "Effects of smoking status and smoking cessation on leptin levels." Nicotine & Tobacco Research 4, no. 4 (November 1, 2002): 459–66. http://dx.doi.org/10.1080/1462220021000018434.

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40

McCoy, Sue Boney, Frederick X. Gibbons, Theresa J. Reis, Meg Gerrard, C. A. Elizabeth Luus, and Alice Von Wald Sufka. "Perceptions of smoking risk as a function of smoking status." Journal of Behavioral Medicine 15, no. 5 (October 1992): 469–88. http://dx.doi.org/10.1007/bf00844942.

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41

Liu, Diane, Emily Younger, Stacy Baker, Stephanie Touch, Tamara Willmoth, and Jessica L. Hartos. "Does Current General Mental Health Status Relate to Current Smoking Status in Pregnant Women?" Journal of Pregnancy 2019 (May 2, 2019): 1–5. http://dx.doi.org/10.1155/2019/7801465.

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Purpose. Research shows that smoking during pregnancy is related to mental health diagnoses. The purpose of this study was to assess whether current general mental health status is related to current smoking status in pregnant women after controlling for other factors related to both mental health and tobacco use during pregnancy. Methods. This cross-sectional analysis used 2017 Behavioral Risk Factor Surveillance Survey (BRFSS) data for 621 pregnant women aged 18-38 from Florida (N=136), Kansas (N=116), Minnesota (N=105), Nebraska (N=90), New York (N=78), and Utah (N=96). Multiple logistic regression analysis was used to assess the relationship between current mental health status and current tobacco use, while controlling for state, depression diagnosis, routine checkup, healthcare plan, age, marital status, ethnicity/race, education level, income level, and employment status. Results. Overall, very few participants reported current smoking (6%) and about one-third reported low or moderate mental health status in the past 30 days. Adjusted results indicated that those who reported high mental health status were about 3 times less likely (OR=0.29, 95% CI=0.09, 0.88) to report current smoking status compared to those who reported low mental health status. Conclusions. Overall, current mental health status was highly related to current smoking status in pregnant women. Clinicians in obstetrics may expect a very low proportion of pregnant women to report smoking and up to one-third to report low or moderate current general mental health status. Given that current mental health issues and current tobacco use may harm both mother and child, be highly related in pregnant women, and change throughout the pregnancy, pregnant women should be screened automatically for both at each visit.

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Nazir, Mohsin, Azhar Rehman, Saima Rashid, Bushra Salim, Tanveer Baig, and Karima Karam Khan. "Hospital Based Prevalence of Smoking Among Surgical Patients in Tertiary Care Hospitals of Karachi Pakistan." Journal of the Pakistan Medical Association 72, no. 12 (November 15, 2022): 2468–72. http://dx.doi.org/10.47391/jpma.5227.

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Objective: To determine the prevalence of smoking and to evaluate the knowledge about preoperative smoking cessation in patients coming for elective surgery. Method: The cross-sectional study was conducted from July 30, 2019, to March 17, 2020, in the preoperative anaesthesia assessment clinic and surgical wards of Aga Khan University Hospital, Civil Hospital Karachi, and Abbasi Shaheed Hospital, Karachi, and comprised all patients of either gender aged >12 years scheduled for elective surgery having American Society of Anaesthesiologists physical status I-IV. Data was analysed using Stata 13.. Results: Of the 811 patients, 478(59%) were male and 333(41%) were female. The overall mean age was 43.4±16.4 years and mean BMI was 25.0±5.8kg/m2. There were 164(20.2%) smokers in the sample. The overall knowledge about preoperative smoking cessation was significantly associated with the level of education and gender (p<0.05). Conclusion: Smoking in surgical patients was about one-fifth of the overall sample, and knowledge related to preoperative smoking abstinence was significantly associated with educational status and gender. Key Words: Prevalence of smoking, Surgical patients, Knowledge of smoking abstinence.

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Wang, Hong-Mei, Janice F. Bell, Todd C. Edwards, and Donald L. Patrick. "Weight status, quality of life, and cigarette smoking among adolescents in Washington State." Quality of Life Research 22, no. 7 (November 13, 2012): 1577–87. http://dx.doi.org/10.1007/s11136-012-0306-4.

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TOSUN, Mustafa, Gülnur İLGÜN, and Nurperihan TOSUN. "Psoriasis hastalarında sigara içme durumu ile yaşam kalitesi arasındaki ilişkide hastalık şiddetinin aracı etkisi." Cukurova Medical Journal 47, no. 2 (June 30, 2022): 792–99. http://dx.doi.org/10.17826/cumj.1088577.

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Purpose: The aim of this study was to examine the relationship between smoking and quality of life and to investigate the mediating role of disease severity on this relationship in psoriasis patients. Materials and Methods: In the study, 268 psoriasis patients were reached by the convenience sampling method. In the study, patients' quality of life was measured with “dermatology quality of life index (DLQI)” and disease severity was measured with “psoriasis area and severity index (PASI)”. The effect of the independent variable (smoking) on the dependent variable (quality of life), both directly and indirectly through the mediating variable (disease severity), was examined by process analysis. Results: Smoking status shows statistically significant differences according to gender, age, marital status, occupation, and income groups. 17.02% of women and 44.09% of men smoke. 19.74% of single and 33.85% of married smoke. 20% of unemployed and 39.13% of employees smoke. 17.76% of low-income, 50.91% of middle-income, and 40.98% of high-income people smoke. This cross-sectional study revealed that smoking in psoriasis has no direct effect on the quality of life, but that smoking has a full indirect effect on the quality of life through disease severity. Conclusion: In the study, it was found that smoking negatively affects the quality of life through both disease severity. Accordingly, it is recommended that patients be informed about the effect of smoking on their diseases.

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Roy, S. K. "Smoking status and its effect on cardiorespiratory system, body dimension and plucking performance of Oraon tea garden labourers." Anthropologischer Anzeiger 56, no. 2 (May 25, 1998): 151–62. http://dx.doi.org/10.1127/anthranz/56/1998/151.

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Abramovitch, Amitai, Diego A. Pizzagalli, Daniel A. Geller, Lillian Reuman, and Sabine Wilhelm. "Cigarette smoking in obsessive-compulsive disorder and unaffected parents of OCD patients." European Psychiatry 30, no. 1 (January 2015): 137–44. http://dx.doi.org/10.1016/j.eurpsy.2013.12.003.

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AbstractBackground:Cigarette smoking is more prevalent among individuals with psychiatric disorders than the general population. Obsessive-compulsive disorder (OCD) may be an intriguing exception, although no recent study has investigated this hypothesis in OCD patients. Moreover, it is unknown whether reduced smoking rates are present in unaffected first-degree relatives of OCD patients.Methods:We assessed smoking prevalence in adults with OCD and unaffected parents of youth with OCD (PYOCD). To this end, 113 adults with OCD completed online questionnaires assessing symptom severity and smoking status. Smoking status was obtained from an independent sample of 210 PYOCD assessed for psychiatric diagnoses.Results:Smoking prevalence rates in adults with OCD (13.3%; n = 15) and PYOCD (9.5%; n = 20) samples were significantly lower than those found in representative samples of the general population (19–24%, all P < .001) and Axis I disorders (36–64%; all P < .001). There were no smokers in the adult OCD subset without clinically significant depressive symptoms (n = 54).Conclusion:Low prevalence of smoking in OCD may be familial and unique among psychiatric disorders, and might represent a possible state-independent OCD marker. Hypotheses concerning the uncharacteristically low prevalence rates are discussed with relation to OCD phenomenology and pathophysiology.

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Stojanovic-Tasic, Mirjana, Anita Grgurevic, Goran Trajkovic, and Tatjana Pekmezovic. "Influence of Family Smoking Habits and Passive Smoking on Smoking Status Among Belgrade University Students." Substance Use & Misuse 51, no. 3 (January 30, 2016): 310–17. http://dx.doi.org/10.3109/10826084.2015.1108340.

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Lisetska, I., and M. Rozhko. "EFFECT OF SMOKING ON ORAL HYGIENE PARAMETERS IN ADOLESCENTS AND YOUNG ADULTS." Актуальні проблеми сучасної медицини: Вісник Української медичної стоматологічної академії 21, no. 3 (November 16, 2021): 160–63. http://dx.doi.org/10.31718/2077-1096.21.3.160.

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Recent studies have shown that the prevalence of dental diseases is remaining high among the population. It is known that the pathogenesis of dental diseases is strongly associated with smoking. Maintaining proper oral hygiene is an important factor in the prevention of dental diseases. Therefore, the question of studying the impact of smoking on the oral hygiene status in adolescents and young adults is quite relevant as it can promote further development of more effective preventive measures. The aim of the study is to examine the effect of smoking on the oral hygiene parameters in adolescents and young adults. Oral Hygiene Index-Simplified (Green-Vermillion, 1964) was applied to assess the oral hygiene status in 114 adolescents and young adults aged 15 to 24 years, who were divided into groups: group I included 26 people who smoked traditional cigarettes on regular basis; group II included 22 people who smoked electronic cigarettes (Vapes); group III involved 23 people who used to smoke tobacco heating devices (IQOS); group IV included 43 non-smokers. The subjects of group I were found to have an unsatisfactory oral hygiene status, their OHI-S index was equal to 1.77 ± 0.02 scores. The subjects of group II demonstrated 1, 53±0, 01 scores, and the subjects of group III – 1.46±0.02 scores that corresponds to a satisfactory level of hygiene. The subjects of group IV, whose oral hygiene status was also satisfactory, had 0.87±0.03 scores. The study has shown that the state of oral hygiene is affected by smoking of traditional cigarettes or alternative smoking devices and smoking duration. Therefore, much attention should be paid and more efforts should be applied to promote smoking cessation and to elaborate the algorithm of medical and preventive dental care for those who is still smoking.

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Colston, David C., Yanmei Xie, James F. Thrasher, Megan E. Patrick, Andrea R. Titus, Sherry Emery, M. Chandler McLeod, Michael R. Elliott, and Nancy L. Fleischer. "Examining Truth and State-Sponsored Media Campaigns as a Means of Decreasing Youth Smoking and Related Disparities in the United States." Nicotine & Tobacco Research 24, no. 4 (October 29, 2021): 469–77. http://dx.doi.org/10.1093/ntr/ntab226.

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Abstract Introduction To analyze the impact of Truth and state-sponsored anti-tobacco media campaigns on youth smoking in the United States, and their potential to reduce tobacco-related health disparities. Aims and Methods Our study included data from the 2000–2015 Monitoring the Future study, an annual nationally representative survey of youth in 8th (n = 201 913), 10th (n = 194 468), and 12th grades (n = 178 379). Our primary exposure was Gross Rating Points (GRPs) of Truth or state-sponsored anti-tobacco advertisements, from Nielsen Media Research. Modified Poisson regression was used to assess the impact of a respondent’s GRPs on smoking intentions, past 30-day smoking participation, and first and daily smoking initiation. Additive interactions with sex, parental education, college plans, and race/ethnicity were used to test for differential effects of campaign exposure on each outcome. Results Greater campaign exposure (80th vs. 20th GRP percentile) was associated with lower probabilities of smoking intentions among 8th graders, smoking participation among 8th and 12th graders, and initiation among 8th graders. Greater exposure was associated with a greater reduction in the likelihood of smoking participation among 10th and 12th grade males than females; 10th and 12th graders with parents of lower education versus those with a college degree; and 12th graders who did not definitely plan to go to college relative to those who did. Conclusions Media campaign exposure was associated with a lower likelihood of youth smoking behaviors. Associations were more pronounced for groups disproportionately affected by smoking, including youth of lower socioeconomic status. Media campaigns may be useful in reducing smoking disparities and improving health equity. Implications Few recent studies have investigated the impact of anti-tobacco media campaigns on youth smoking and their potential to reduce tobacco-related health disparities in the United States. We found media campaigns—specifically state-sponsored media campaigns—reduced the likelihood of several smoking outcomes among youth, with some evidence that they mitigate disparities for disproportionately affected groups.

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Gowdar, Indraneel, Priya Mallikarjun, Indraneel Reddy, Anjali Shankar, and Mark Dignan. "Smoking and prostate cancer risk in young men in Appalachian Kentucky." Journal of Clinical Oncology 30, no. 15_suppl (May 20, 2012): e12004-e12004. http://dx.doi.org/10.1200/jco.2012.30.15_suppl.e12004.

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e12004 Background: Kentucky has the highest smoking rates in the US, with 25.2% of the adult population considered current smokers compared to 18.4% nationwide (CRC, 2011 statistics), as well as high rates of chronic conditions including diabetes, heart disease, and lung cancer. In particular, the Appalachian area of Kentucky appears to have particularly high rates of both smoking and prostate cancer, beyond what is typical for the state as a whole. Recent data on prostate cancer from the Kentucky State Cancer Registry from 2004-2008 showed an incidence rate of 144 vs. 139.8 per 100,000 for "Appalachia" and Kentucky as a state, respectively. The purpose of this study is to investigate the relationship between smoking and risk of prostate cancer in Appalachian Kentucky. Methods: Data were collected on all prostate cancers diagnosed from 1996-2005 in a large hospital serving the Appalachian region. Data were collected without identifiers. Relevant statistics recorded included age at diagnosis, family history, and smoking status (classified as current smoker, non-smoker, or unknown smoking status). Results: A total of 286 patients with diagnosed prostate cancer were collected. The patients ranged from 45 to 94 years of age at diagnosis (Mean = 71, SD = 9.8). Of the 286, 89 (31.1%) had never smoked, and 94 (32.9%) were current or former cigarette smokers (Mean pack years = 25.4). To control for the age-related increase in cancer risk, patients were separated into two age groups: age 65 and younger (n=86, 30.1%), and older than 65 (n=200, 69.9%). The proportion of the younger group who smoked was significantly greater than that of the older group (44.2% vs. 28%, respectively; p= 0.009, Fischer's exact test). Conclusions: These data suggest that smoking in males younger than 65 is positively associated with an increased risk of prostate cancer in Appalachian Kentucky. Further study is needed to elucidate this relationship, as well as to evaluate any association between smoking severity and Gleason score.

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