Association between ethylene oxide exposure and osteoarthritis risk: an analysis of NHANES data (2013–2014 and 2017–2018) by Zhongshan Li, Zhongshan Li, Qi Qu, Qi Qu, Zhiyu Wang, Zhiyu Wang, Shuanglin Mou, Rui Jiang, Rui Jiang, Wensheng Zhu, Wensheng Zhu

“…Subgroup analysis revealed that the association between EO exposure and OA risk was more pronounced in the 20–40 and 40–65 age groups, never smokers (Not at all), and those with low calcium levels (< 8.5 mg/dL) or low vitamin D levels (< 75 nmol/L).ConclusionsEO exposure is associated with OA risk, exhibiting a J-shaped relationship, with this association being particularly pronounced in individuals under 65 years old or those with low calcium or vitamin D levels. …”
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The role of the estimated glomerular filtration rate and body roundness index in the risk assessment of uric acid-lowering therapy-resistant gout in U.S. adults: evidence from the... by Mengyuan Zhu, Xingqiang Wang, Zining Peng, Weitian Yan, Qian Deng, Meihui Li, Nian Liu, Ling Zhang

“…We explored the relationships of the eGFR, BRI, and VAI with UALT-RG risk via univariable and multivariable weighted logistic regression, trend analysis, and restricted cubic splines.Results Among the 1,811 patients with gout, ∼9.08% had UALT-RG; these patients were more likely to have obesity, comorbid diabetes (36% [27–47%] vs. 25% [22–28%]) or impaired kidney function (eGFR < 60 mL/min/1.73 m2, 34.5% [27–43%] vs. 22.5% [20–26%]); be former smokers; and take colchicine (10% [5.6–19%] vs. 4.3% [2.8–6.7%]). …”
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The Relationship between Simple Snoring and Metabolic Syndrome: A Cross-Sectional Study by Juanjuan Zou, Fan Song, Huajun Xu, Yiqun Fu, Yunyan Xia, Yingjun Qian, Jianyin Zou, Suru Liu, Fang Fang, Lili Meng, Hongliang Yi, Jian Guan, Huaming Zhu, Bin Chen, Shankai Yin

“…The final study population consisted of 866 participants. Simple snorers showed more severe metabolic disorders and higher prevalence of MetS than nonsnorers. …”
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Autophagy activation in response to cigarette smoke: Exploring the disparity in laryngeal cancer incidence and outcomes between sexes in South Korea by Min Ji Kim, Jisu Hong, Hyo Won Chang, Yun-Hee Lee, Jun-Pyo Myong, Ah Ra Jung, Yoon Se Lee, Minsu Kwon

“…Interestingly, LC incidence in females is significantly lower than in males; however, female smokers are more likely to develop Reinke edema (RE) than LC. …”
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Germline variants of the genes involved in NF-kB activation are associated with the risk of COPD and lung cancer development by Baranasic Jurica, Niazi Yasmeen, Chattopadhyay Subhayan, Rumora Lada, Ćorak Lorna, Dugac Andrea Vukić, Jakopović Marko, Samaržija Miroslav, Försti Asta, Knežević Jelena

“…Chronic obstructive pulmonary disease (COPD) and lung cancer (LC) are closely related diseases associated with smoking history and dysregulated immune response. However, not all smokers develop the disease, indicating that genetic susceptibility could be important. …”
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Association of exposure to second-hand smoke during childhood with blood DNA methylation by Marta Cosin-Tomas, Thanh Hoang, Cancan Qi, Giulietta S. Monasso, Ryan Langdon, Simon Kebede Merid, Lucinda Calas, Paula de Prado-Bert, Rebecca Richmond, Vincent VW Jaddoe, Liesbeth Duijts, John Wright, Isabella Annesi-Maesano, Regina Grazuleviciene, Marianna Karachaliou, Gerard H. Koppelman, Erik Melén, Olena Gruzieva, Martine Vrijheid, Paul Yousefi, Janine F. Felix, Stephanie J. London, Mariona Bustamante

“…Linear regression models adjusted for covariates were fitted to examine the association between the number of household smokers in postnatal life (0, 1, 2+) and child blood DNAm. …”
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Association between exposure to ambient air pollutants and metabolic syndrome in the vicinity of the Taklamakan Desert by Zhe Wang, Weidong Ji, Yushan Wang, Lin Li, Kai Wang, Hongze Liu, Yining Yang, Yi Zhou

“…Conclusions: There is an observed association between long-term exposure to air pollution and a heightened risk of MetS, particularly in men, younger individuals, those who are physically inactive, and smokers.…”
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Human Papillomavirus Prevalence in Oral and Oropharyngeal Rinse and Gargle Specimens of Dental Patients and of an HIV-Positive Cohort from Pretoria, South Africa by Neil H. Wood, Koketso S. Makua, Ramokone L. Lebelo, Nina Redzic, Ina Benoy, Olivier M. Vanderveken, Johannes Bogers

“…Of 221 participants, 149 were from a general population and 72 from the HIV-management clinic. Smokers comprised 29.4% of the sample, and 45.2% of participants reported to have ever used alcohol. …”
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Long-term trends in the prevalence of cardiovascular-kidney-metabolic syndrome in South Korea, 2011–2021: a representative longitudinal serial studyResearch in context by Yesol Yim, Jae E. Lee, Yejun Son, Soeun Kim, Hojae Lee, Sooji Lee, Wonwoo Jang, Hanseul Cho, Hayeon Lee, Kyeongmin Lee, Hyesu Jo, Jaeyu Park, Jiyeon Oh, Louis Jacob, Jiseung Kang, Hyunji Sang, Sang Youl Rhee, Dong Keon Yon

“…Advanced stages were more common among vulnerable subgroups, including males, older adults, rural residents, smokers, drinkers, individuals with obesity, lower education levels, and lower household incomes. …”
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Gene mutation in diabetic patients with lung adenocarcinoma: a real-world retrospective cohort study by Lei Yang, Yang Hong, TingTing Zeng, HongMei Yue, DePeng Jiang

“…Subgroup analysis indicated that the rate of gene mutation in male smoking lung adenocarcinoma patients with diabetes was significantly lower than in those without diabetes.ConclusionThis retrospective study of real-world data suggests that patients with lung adenocarcinoma and diabetes may have a reduced likelihood of developing genetic mutations, particularly among male smokers. Furthermore, gender, smoking history, and tumor stage may be correlated with the presence of gene mutations.…”
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The association between tobacco and alcohol use and health outcomes in individuals living with diabetes and prediabetes in South Africa: A cross-sectional study by S J Mulder, T Chivese, C O Egbe

“…Of a total of 6 108 participants (mean (standard deviation) age 41 (19) years), 72.2% (n=4 409) had prediabetes and 27.8% (n=1 699) T2DM; 17.7% (n=1 084) were current smokers and 9.3% (n=565) reported problem/risky alcohol use. …”
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Exponential distribution of wave-driven near-bed water speeds under short-crested waves: a case study in the eastern Gulf of Riga, the Baltic Sea by Maris Eelsalu, Laura Piho, Juris Aigars, Loreta Kelpšaitė-Rimkienė, Vitalijus Kondrat, Maarja Kruusmaa, Kevin E. Parnell, Asko Ristolainen, Ilona Šakurova, Māris Skudra, Maija Viška, Tarmo Soomere

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The effect of smoking on the immediate effectiveness of induction chemotherapy in the combined treatment of HPV-associated oropharyngeal cancer by P. V. Golubev, L. V. Bolotina, A. R. Gevorkov, T. I. Deshkina

“…Further analysis showed that there was no direct or inverse correlation between smoking and differentiated level of response (primary lesion, altered lymph nodes); all patients (smokers and those who had never smoked) responded equally effectively to the first stage of combined treatment, regardless of the ICT regimen.Conclusion. …”
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Tobacco Use, Risk Perceptions, and Characteristics of Adults Who Used a Heated Tobacco Product (IQOS) in the United States: Cross-Sectional Survey Study by Hui G Cheng, Brendan Noggle, Andrea R Vansickel, Edward G Largo, Pierpaolo Magnani

“…ConclusionsThis study provides evidence that THS can help adult smokers in the United States completely switch away from cigarettes or reduce smoking.…”
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Association of e-cigarette and cigarette use with self-reported chronic obstructive pulmonary disease (COPD): a multivariable analysis of a large United States data set by Alicia J. Burns, Alexander W. Steinberg, James D. Sargent, Jenny E. Ozga, Zhiqun Tang, Cassandra A. Stanton, Laura M. Paulin

“…Conclusions Current e-cigarette use among former cigarette smokers was associated with significantly higher COPD prevalence compared to never e-cigarette use. …”
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Geographical Differences in the Safety and Efficacy of Tofacitinib Versus TNFi: A Post Hoc Analysis of ORAL Surveillance by Bogdan Batko, Slawomir Jeka, Piotr Wiland, Agnieszka Zielińska, Maria Stopińska-Polaszewska, Marcin Stajszczyk, Magdalena Kosydar-Piechna, Mary Jane Cadatal, Jose L. Rivas

“…Results Of 4362 patients (Poland, N = 759; North America, N = 1243; Other countries, N = 2360), more patients from North America versus Poland/Other countries had CV risk factors such as body mass index ≥ 30 kg/m2 and history of diabetes/hypertension; however, more patients from Poland versus other regions were ever smokers and more patients from Poland/North America versus Other countries had history of coronary artery disease. …”
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Role of IPF genetic risk loci in post-COVID-19 lung abnormalities: a cohort study by James Johnston, Christopher Carlsten, Christopher J Ryerson, Alyson W Wong, Cameron J Hague, Julia Yang, Janice Leung, Daniel-Costin Marinescu, Aditi Shah, Darra Murphy

“…Mean age was 63±16 years, 62% were male, 31% were ever-smokers and median hospital length of stay was 9±11 days, with 23% requiring mechanical ventilation. …”
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Association between exposure to tobacco information through mass media, smoking households and secondhand smoke exposure in adolescents: Survey data from South Korea by Wenbin Du, Gaoran Chen, Minmin Gu, Huixin Deng, Won G. Choi

“…Results SHS exposure duration of Korean adolescents in households was 0.88 days per week. The households with smokers including the father (β=1.087; 95% CI: 1.0–1.126), mother (β=1.461; 95% CI: 1.379– 1.543), siblings (β=0.545; 95% CI: 0.493–0.597), grandparents (β=0.224; 95% CI: 0.174–0.272), and other relatives (β=0.170; 95% CI: 0.126–0.214), showed a positive association with SHS exposure in adolescents within the household. …”
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Hubungan Pengetahuan dan Sikap Terhadap Rokok Dengan Kebiasaan Merokok Siswa SMP di Kota Padang by Afdol Rahmadi, Yuniar Lestari, Yenita Yenita

“…Result: obtained 32.30% of students were smokers, 10.4% with low knowledge, and 7.3% with negative attitude. …”
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Joint association of systemic immune-inflammation index and phenotypic age acceleration with chronic respiratory disease: a cross-sectional study by Yuan Zhan, Ruonan Yang, Jie Feng, Genlong Bai, Xiangyun Shi, Jiaheng Zhang, Jingbo Zhang

“…Furthermore, the joint-indexes analysis revealed that compared to individuals with lower SII and PhenoAgeAccel, those with higher SII and PhenoAgeAccel exhibited remarkably stronger associations with CRD (adjusted OR [aOR], 1.56; 95% CI, 1.31–1.85; P < 0.001), chronic obstructive pulmonary disease (aOR, 1.56; 95% CI, 1.22-2.00; P = 0.001) and asthma (aOR, 1.40; 95% CI, 1.16–1.70; P = 0.001), which were predominant among those aged above 40 years, females and smokers. Eventually, mediation analyses suggested the mutual mediating effects of SII and PhenoAgeAccel on CRD and PhenoAgeAccel mediated SII resulting in CRD more significantly. …”
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