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1 HNP 1-3 when compared with diseased sites of non-smokers.
2 d lower risk-taking to rewards compared with non-smokers.
3 onse patterns were found in both smokers and non-smokers.
4 e implicating the dangers of nCB exposure in non-smokers.
5 PDLSC from teeth extracted from smokers and non-smokers.
6 predicting monetary cues in both smokers and non-smokers.
7 periodontal healing in smokers compared with non-smokers.
8 reduction in clinical outcomes compared with non-smokers.
9 fect is compromised in smokers compared with non-smokers.
10 esis capacity in heavy smokers compared with non-smokers.
11 fferences in performance between smokers and non-smokers.
12 s had 3.5%, 12.8%, and 23.2% greater AL than non-smokers.
13 infected with Porphyromonas gingivalis than non-smokers.
14 ex-smokers and 1.27 (95% CI 0.87 to 1.86) in non-smokers.
15 fferent site profiles among both smokers and non-smokers.
16 P 1-3 than healthy sites in both smokers and non-smokers.
17 lung tissue of current smokers compared with non-smokers.
18 issue, from patients with COPD, smokers, and non-smokers.
19 ic DNA from smokers compared with former and non-smokers.
20 ty Status Scale scores 4 and 6 compared with non-smokers.
21 representative cohorts of adult smokers and non-smokers.
22 across all conditions, compared to non-ADHD non-smokers.
23 ermined in smokers and results compared with non-smokers.
24 tial pathogens as compared with the flora of non-smokers.
25 ation found among younger adults, women, and non-smokers.
26 All participants were non-smokers.
27 reater level of RAGE compared to the matched non-smokers.
28 periodontal disease and COPD among former or non-smokers.
29 rlic, hawthorn and fermented bean curd) than non-smokers.
30 3.0) and severe CAL (RRR = 8.2) compared to non-smokers.
31 smokers of 15 or more cigarettes a day as in non-smokers.
32 lements, may also affect risk, especially in non-smokers.
33 equate for current or recent smokers but not non-smokers.
34 ding and higher number of missing teeth than non-smokers.
35 ly to exhibit the presence of pathogens than non-smokers.
36 significantly more maxillary bone loss than non-smokers.
37 o the model, which included IL-1 genotype in non-smokers.
38 Similar risk estimates were seen among non-smokers.
39 s greater among cigarette smokers than among non-smokers.
40 old risk (women) of tooth loss compared with non-smokers.
41 return to the rate of tooth loss observed in non-smokers.
42 cigarettes but remained higher than those in non-smokers.
43 kers was 2.3 times that of former smokers or non-smokers.
44 ained from periodontally healthy smokers and non-smokers.
45 er adults is more pronounced in smokers than non-smokers.
46 quit lose a decade of life expectancy versus non-smokers.
47 ividuals who had tried smoking compared with non-smokers.
48 delayed loaded (DL) implants in smokers and non-smokers.
49 ng to smokers having 16.8% lower values than non-smokers.
50 osa of the asthmatic smokers compared to the non-smokers.
51 nd soft tissue status in healthy smokers and non-smokers.
52 but only lysine was depleted in biofilm from non-smokers.
53 concentration were significantly lower than non-smokers.
54 ihood of TP in current smokers compared with non-smokers.
55 in the lungs of murine smokers compared with non-smokers.
57 Mean probing reduction was 50% greater among non-smokers (0.6 mm) when compared to smokers (0.4 mm),
58 At 9 months both smokers (0.67 +/- 0.39) and non-smokers (0.78 +/- 0.30) had a significant decrease i
60 hyperresponsiveness after FP was greater in non-smokers (1.5- and twofold doubling dose difference f
62 -training, RFVOL was smaller in smokers than non-smokers (100.9 +/- 20.2 vs. 108.7 +/- 24.5, p = 0.01
64 in beyond the threshold were much greater in non-smokers (13.9%) compared to 9.0% in smokers (P <0.01
67 geal Swallow; RPS were studied in 15 healthy non-smokers (24.2+/-3.3 SD y, 7 males) and 15 healthy ch
71 issue biopsies from 120 systemically healthy non-smokers, 65 with CP and 55 with AgP, each contributi
73 he LAR was also attenuated in smokers versus non-smokers (adjusted mean minimum change in FEV1 (L) ov
74 s assessing bone regeneration in smokers and non-smokers after periodontal therapy were selected.
80 ces when analyses were restricted to healthy non-smokers also suggested some residual confounding by
85 gh all patients reported they were currently non-smokers and had not smoked for at least 5 years, the
86 its products heavily, deliberately targeting non-smokers and keeps prices low until smoking and local
88 Data analysis (t test) revealed that both non-smokers and smokers had a statistically significant
92 aired inflammatory functioning compared with non-smokers and that constituents of tobacco smoke other
93 positively associated with age in HNSCC from non-smokers and that larynx SCC from non-smokers have a
95 putum eosinophils were lower in smokers than non-smokers and were suppressed in both groups by FP.
96 ariance was performed, with group (smoker vs non-smoker) and genotype as factors, thereby controlling
97 s at 1 year (41.9% for smokers and 49.3% for non-smokers) and 2 to 5 years follow-up (43.9% for smoke
98 patients with IL implants (16 smokers and 15 non-smokers) and 30 patients with DL implants (17 smoker
101 tobacco use, susceptibility to smoking among non-smokers, and exposure to secondhand smoke at home an
102 however, more than 25% of COPD patients are non-smokers, and gene-by-smoking interactions are expect
103 ciation was present overall as well as among non-smokers, and persisted after control for lipid and n
104 The results were analyzed for smokers and non-smokers, and the median time to hemostasis was signi
105 emenopausal women and in smokers compared to non-smokers, and was positively correlated with urinary
108 ssociations were stronger in smokers than in non-smokers, as well as stronger in consumers of high (>
109 reductions in probing depth for smokers and non-smokers at 1 year (41.9% for smokers and 49.3% for n
111 s significantly different (P <0.05) only for non-smokers at 6 months, whereas OPG was not significant
112 th effects of ETS exposure is lung cancer in non-smokers, based on epidemiologic evidence and knowled
113 and planned separate analyses in smokers and non-smokers because of the known effects of smoking on F
115 % indicated they would prefer to live with a non-smoker) but not smokers (69% had no preference).
116 abetes is far more prevalent in smokers than non-smokers, but the underlying mechanisms of vulnerabil
118 ers could be successfully distinguished from non smokers by univariate and multivariate statistical a
120 king and 30% of the lung cancer deaths among non-smokers can be attributed to residential radon expos
122 age 49 years, 43% female, 77% non-white, 91% non-smokers, CD4+ T cell count 590 cells/mm(3), BMI 31 k
123 ngs were obtained from 32 otherwise healthy, non-smoker chronic periodontitis individuals and 25 syst
124 was associated with anthracosis in lungs of non-smokers (coefficient = 6.0; standard error = 2.9; p
127 significant differences between smokers and non-smokers comparing probing depth, clinical attachment
129 Forty-five participants (30 smokers and 15 non-smokers) completed the study and had usable data.
130 udies, with 30,757 children and 44,432 adult non-smokers, containing SHS exposure and TB outcome data
131 and in smokers without COPD when compared to non-smoker control participants but did not correlate wi
133 amine synthesis capacity between smokers and non-smoker controls in the whole striatum (t28=0.64, p=0
137 mL/year, 95% CI -38.8 to 32.2; p=0.86) or in non-smokers (difference of -5.6 mL/year, -29.4 to 18.3;
138 llowed a dose-dependent pattern (compared to non-smokers, difference in mean EFW [95% CI] at 40 weeks
139 smokers demonstrated lower muscle mass than non-smokers, differences were abolished with training.
142 ng in early pregnancy was similar to that of non-smokers, except for a shorter FL and greater AC arou
144 association with smoking status (smokers vs non-smokers), Fagerstrom Test for ND scores or indexed c
145 ation increase in OxGua levels among current non-smokers, female and non-obese participants, respecti
148 king performance between regular smokers and non-smokers for older (n = 37, 13 smokers) and younger (
150 s follow-up (43.9% for smokers and 48.3% for non-smokers) for the subgroup of patients followed beyon
151 to analyze the periodontal conditions among non-smokers, former smokers and current smokers in the t
152 (FTND) score, in a total of 2037 smokers and non-smokers from 602 nuclear families of African- or Eur
153 ring pregnancy had a smaller fetal size than non-smokers from early gestation (16-20 weeks) through t
155 rs were significantly higher in smokers than non-smokers: gingival index, probing depth, and loss of
157 microbial profile were also observed in the non-smoker group, which showed the lowest proportions of
159 antly better responses (P < 0.02); likewise, non-smokers had similarly better response (P < 0.02).
160 CC from non-smokers and that larynx SCC from non-smokers have a greater number of signature 5 mutatio
161 no significant difference between the smoker/non-smoker hazard ratios for those with different APOE g
163 d in human lung airway epithelium of healthy non-smokers, healthy smokers and individuals with chroni
164 ites with CAL > or =3 mm compared to healthy non-smokers, healthy smokers, and non-smokers with diabe
167 ignificantly higher in smokers compared with non-smokers in patients with IL and DL dental implants.
168 ignificant difference between ex-smokers and non-smokers in terms of time to Expanded Disability Stat
169 CI 0.04-0.46), compared with 13 (13%) of 99 non-smokers in the mercaptopurine group and 14 (16%) of
171 thylated in smokers compared with former and non-smokers, including an intragenic region of the aryl
173 ff levels separately defined for smokers and non-smokers indicated increased risk for compromised tre
174 ve less [(11)C]DAA1106 binding globally than non-smokers, indicating less microglial activation.
177 ated lung cancer, lung cancer among lifetime non-smokers is a leading cause of death in the United St
178 nvironmental tobacco smoke (ETS) exposure of non-smokers is associated with a two- to three-fold incr
183 d on gene expression data from Taiwan female non-smoker lung cancer patients, while there is evidence
184 ore specifically, when applied to smoker and non-smoker lung cancer sets, nDGE results illustrate the
187 ement of VS/fP values toward values found in non-smokers (mean 58.2% normalization of receptor levels
188 study, we tested 48 participants, a group of non-smokers (n = 12) and three groups of regular smokers
189 age- and gender-matched smokers (n = 14) and non-smokers (n = 14) with periodontitis were measured by
191 Here, in a sample of smokers (n=35) and non-smokers (n=21), a previously validated parametric fl
195 fluid (GCF) levels of MT in smokers (S) and non-smokers (NS) with chronic periodontitis (CP), and co
196 teer participants consisting of four groups, non-smokers (NS), CS, EC, and dual EC and cigarette smok
199 its they were categorized into three groups: non-smokers (NS; n = 95), former smokers (FS; n = 22), a
204 tinib is highly effective in treating women, non-smoker or former light smoker, advanced non-small ce
206 ase of 7.43 (95% CI: 1.20-46.20) compared to non-smokers or former light smokers who were IL-1 genoty
208 HPV-positive low-risk oropharyngeal cancer (non-smokers or lifetime smokers with a smoking history o
217 ater EFW from 32 weeks' gestation onwards in non-smokers (p = 0.03, difference in mean EFW at 40 week
221 m change in FEV1 (L) over 4-10 h [95% CI] in non-smokers: placebo -1.01 [1.31, 0.70], FP 100 mug -0.3
225 /smoker, prevalence 38%, OR 0.88, P=0.74, CC/non-smoker, prevalence 42% (reference), CC/smoker preval
226 oking appears to abrogate this effect (CT/TT/non-smoker, prevalence of PsA 13%, OR 0.20, P=0.0001; CT
229 lting in an estimated 4.7 million additional non-smokers recommending cessation services and more tha
230 TP was higher in current smokers relative to non-smokers regardless of sex and periodontitis classifi
237 et from human epithelial brushes (smoker vs. non-smoker) revealed a high degree of similarity between
239 7 patients with CP (24 smokers [S+P+] and 23 non-smokers [S-P+]) and 46 periodontally healthy individ
240 ealthy individuals (23 smokers [S+P-] and 23 non-smokers [S-P-]) for a total of 93 participants.
244 lly and periodontally healthy smokers versus non-smokers suggest lack of adverse effects of smoking o
245 attachment loss and gingival recession than non-smokers, suggesting poorer periodontal health in smo
246 association with PTSD is most pronounced in non-smokers, suggesting the result was independent of sm
247 the genetic instrument with fetal growth in non-smokers suggests that genetic pleiotropy may have ma
249 ation closure was comparable for smokers and non-smokers, the proportion of Class II residual defects
250 ette smoking status; compared to children of non-smokers, those whose mothers or both parents smoked
251 sual backward masking in healthy smokers and non-smokers to further understand the effects of nicotin
254 ed children and eight studies assessed adult non-smokers; two studies assessed both populations.
259 first episode of psychosis in smokers versus non-smokers was 3.22 (95% CI 1.63-6.33), with some evide
263 on signatures for lung cancer in smokers and non-smokers we further show that codons 157 and 273 have
264 of the tracheal epithelium from smokers and non-smokers, we generate a comprehensive atlas of epithe
265 ne PD and the delta PD or delta AL among the non-smokers, weak and insignificant relationship existed
266 psychotic illness at an earlier age than did non-smokers (weighted mean difference -1.04 years, 95% C
267 d crossover design was used in which healthy non-smokers were administered placebo and nicotine (2-mg
272 und that bronchial and nasal epithelium from non-smokers were most similar in gene expression when co
277 y task during fMRI in cohorts of smokers and non-smokers who completed a two-drug, placebo-controlled
279 neoplasia (CIN) and cancer, as compared with non-smokers who were infected with similar variants and
281 dministration was significantly higher among non-smokers with ADHD, and their choices of nicotine wer
282 proteinase-8 (MMP-8) patterns in smokers and non-smokers with chronic periodontitis (CP) and test the
285 ly validated (salivary cotinine) smokers and non-smokers with chronic periodontitis (CP: n = 13) or a
291 cillin (AMX) in the treatment of smokers and non-smokers with generalized chronic periodontitis (CP).
295 plant failures in smokers are twice those of non-smokers, with a higher failure rate in the maxillary
296 periodontitis in smokers, former smokers, or non-smokers, with a subset of specific environmental var
297 iated periodontitis is distinct from that of non-smokers, with significant differences in the prevale
298 se (LAR) was suppressed by FP in smokers and non-smokers; with placebo, the LAR was also attenuated i
299 vations that atherosclerosis often occurs in non-smokers without elevated levels of low-density lipop