ライフサイエンスコーパス: smoking habit

1 d by the bone substratum, periodontitis, and smoking habit.

2 grafted vs. pristine bone, and for a heavier smoking habit.

3 patients with periodontitis that reported a smoking habit.

4 , female sex, use of oral contraceptives and smoking habits.

5 ted and logistic regression was adjusted for smoking habits.

6 ension, high cholesterol, HPV infection, and smoking habits.

7 168) was composed according to age, sex, and smoking habits.

8 tion practices in relation to their personal smoking habits.

9 ression was not associated with the maternal smoking habits.

10 t role in nicotine metabolism and consequent smoking habits.

11 possible determinants of disease, including smoking habits.

12 osures to cigarette smoke than self-reported smoking habits.

13 ting abruption was increased irrespective of smoking habits.

14 glycemic status and self-reported cigarette-smoking habit: a) CS with T2DM; b) CS without T2DM; c) N

15 f this research was to examine self-reported smoking habits according to measures of socioeconomic st

16 e optical density of MP (iris color, gender, smoking habits, age, and lens density).

17 physical activity patterns, medication use, smoking habits, alcohol consumption, and other lifestyle

18 hanges in LC biochemistry may strengthen the smoking habit among subjects with major depression.

19 ty patients with a greater than one pack/day smoking habit and generalized moderate to severe chronic

20 t why some adolescents progress to a regular smoking habit and others do not.

21 After adjusting for smoking habits and a wide range of established and poten

22 be the key substance responsible for tobacco-smoking habits and appears to trigger reinforcement via

23 , as well as other medical conditions (i.e., smoking habits and body mass index), were considered in

24 II Nutrition Cohort collected information on smoking habits and exposure to ETS during childhood and

25 nces between groups in terms of gender, age, smoking habits and indications for treatment.

26 mpleted a self-administered questionnaire on smoking habits and lifestyle factors.

27 Additionally, patients' smoking habits and participation in supportive periodont

28 ng Illumina 450K array) were integrated with smoking habits and ultrasound-measured carotid plaque sc

29 s, medical history, alcohol consumption, and smoking habits) and had their height, weight, and blood

30 ting for age, education level, osteoporosis, smoking habit, and body mass index, the ORadjusted was 4

31 old density, alcoholic beverage consumption, smoking habit, and cardiovascular disease (odds ratio OR

32 ndent of age, sex, weight, height, cigarette smoking habit, and past history of fracture.

33 and data collection, last visit to dentist, smoking habit, and present occupation, the association m

34 index by 5 kg/m2, quitting a 10 cigarette/d smoking habit, and reducing dietary cholesterol intake b

35 after adjusting for age, menopausal status, smoking habit, and sexual exposure history.

36 elated exposures such as cotinine levels and smoking habits, and 58 clinically relevant blood phenoty

37 ators were periodontitis, diabetes mellitus, smoking habits, and alcohol consumption.

38 However, age, smoking habits, and especially DM2 were significantly as

39 controls, irrespective of time to diagnosis, smoking habits, and gender.

40 s were maintained after adjustments for sex, smoking habits, and mother's education.

41 articularly high risk given their older age, smoking habits, and pre-existing cardio-pulmonary comorb

42 sceptible to COVID-19 given their older age, smoking habits, and pre-existing cardiopulmonary comorbi

43 city, maternal age, parental occupation, and smoking habits, and they differed only slightly by pater

44 isease severity, as well as its extent and a smoking habit, appear to be factors that influence the c

45 the coronary atheromatous plaque burden and smoking habit are associated with a reduced acute local

46 pared to never smoking, current and previous smoking habits are associated with increased CD (P = 7.0

47 rticipants were categorized by self-reported smoking habits as current, ex-, or never-smokers.

48 mates identified periodontitis, obesity, and smoking habits as significant systemic risk indicators f

49 because previous studies used self-reported smoking habits as surrogates for children's true exposur

50 position, BMI, physical activity level, and smoking habit, as well as when participants without card

51 ion measurements and complete information on smoking habits available.

52 ise, walking/cycling, height, energy intake, smoking habits, baseline Charlson's weighted comorbidity

53 male), race and ethnicity (784 [49%] White), smoking habits, body mass index, and education level.

54 nce of venous thromboembolism in relation to smoking habits, both in the absence of surgery and in th

55 When adjusted for smoking habits, celiac disease was associated with LC (O

56 We also investigated whether a history of smoking habits cessation may affect the risk of periodon

57 , family history (chi2 = 6.26; P = .01), and smoking habit (chi2 = 10.06; P = .007) as independent ri

58 ost fit 40%) fitness categories by strata of smoking habit, cholesterol level, blood pressure, and he

59 OSA-18 questionnaire, and caregiver-reported smoking habits (collected through a questionnaire).

60 blood pressure, blood cholesterol, cigarette smoking habit, diabetes, and supplement use.

61 that differed between patients and controls (smoking habits, diabetes mellitus, years of education, a

62 eas other variables (i.e., TT, sex, age, and smoking habit) do influence alveolar BT.

63 and laboratory data, such as age, sex, race, smoking habits, drug use, alcohol use, chest radiograph,

64 ntervals) adjusted for maternal age, height, smoking habits, education, and time period (5-year group

65 ernal height, maternal age, parity, mother's smoking habits, education, country of birth, and year of

66 models, adjusting for age, body mass index, smoking habits, ethnicity, and reproductive factors.

67 se findings were independent of age, gender, smoking habits, ethnicity, and standard lipids differenc

68 aimed to investigate the association between smoking habits (focusing on the age when smokers started

69 d's parents provided information about their smoking habits for each year from age 15 years to the ch

70 cs and family history of HNC for analysis of smoking habits; for the analysis of drinking and dietary

71 Data regarding smoking habits, general health, and medications were col

72 portional hazards models, adjusting for age, smoking habits, heavy alcohol consumption, and body mass

73 were gathered on age, sex, bone substratum, smoking habit, history of periodontitis, and prosthetic

74 There was no heterogeneity across sex, smoking habit, histotype, and epidermal growth factor re

75 tus (HR, 1.78; 95% CI, 1.34-2.37; P<0.0001), smoking habit (HR, 1.40; 95% CI, 1.05-1.85; P=0.02), and

76 Adding information about smoking habits in the models improved slightly the sensi

77 in pathology outcomes, only 18 patients had smoking habits, indicating a potential inverse correlati

78 raphic factors such as income, sex, age, and smoking habits influenced the results both before and af

79 for age, sex, physical activity status, BMI, smoking habits, intake of nuts, and other confounders.

80 ence of risk modification by factors such as smoking habit, known to be associated with stroke.

81 Patients should be advised that their smoking habit may result in poorer bone regeneration aft

82 dies confirm these findings, modification of smoking habits may prevent or delay age-related declines

83 ied into 3 categories based on self-reported smoking habits: never (43.2%), former (50.5%), and curre

84 (95% CI 1.47-1.52), adjusting for age, sex, smoking habit, obesity, hypertension, immunodeficiency,

85 haled from cigarettes is nicotine, hence the smoking habit of SZP may represent an attempt to use nic

86 th the residential construction date and the smoking habits of residents.

87 After positing a distribution for the smoking habits of workers and referents, a distribution

88 nce of proximal coronary artery atheroma and smoking habit on the stimulated release of tissue plasmi

89 men and > 30 g/day for men was combined with smoking habit (OR = 7.30 [95% CI: 6.1-8.73]).

90 narcotics were more likely to have a current smoking habit (P < .001) with perianal disease (P = .046

91 tic aneurysm diameter (P<0.0001) and current smoking habit (P=0.0446) also predicted the primary outc

92 although this was not independent of current smoking habit (P=0.1993).

93 65 years or older and younger than 65 years, smoking habit, past history of fracture, and hip and non

94 f PRAL, independent of age, body mass index, smoking habit, physical activity, diagnosed osteoporosis

95 ormation about age, gender, medical history, smoking habit, physical examination and results of imagi

96 epression is due to regulation of eating and smoking habits rather than an "autoimmune" genetic predi

97 Those SNPs had sex- and smoking-habit-specific effects on periodontitis; reinfor

98 tantially increased regardless of changes in smoking habits suggests that factors other than smoking

99 Because of variations over time in smoking habits, the small airway epithelium transcriptom

100 ls have in reducing tobacco use, many have a smoking habit themselves.

101 According to smoking habits they were categorized into three groups:

102 e matched by age, time of randomization, and smoking habit to an equal number of controls (who had re

103 other risk factors, and related drinking and smoking habits to the cumulative probability of dying be

104 okers even after adjusting for self-reported smoking habits, urinary cotinine, and well-known cardiov

105 ge, body weight, dietary and alcohol intake, smoking habits, use of medications, and occurrence of di

106 Smoking habit was ascertained at baseline and yearly by

107 Information on anthropometry, diet, and smoking habits was obtained through a questionnaire.

108 w-up (1980 to 1992), in which information on smoking habits was updated every 2 years.

109 ong biotypes, whereas: 1) TT, 2) age, and 3) smoking habit were often predictors of reduction in BT i

110 on-attendance to periodontal maintenance and smoking habits were also associated with less favorable

111 ometry, occupational endotoxin exposure, and smoking habits were assessed at 5-year intervals.

112 ons as well as ethnic and marital status and smoking habits were considered.

113 Complete periodontal examination and smoking habits were evaluated at two instances: T1 (firs

114 rol subjects matched on the basis of age and smoking habit who remained free of vascular disease duri

115 001), independent of age of the individuals, smoking habits, whole-blood storage time, and various in

116 Current smoking was the smoking habit with highest prevalence of IBS-like sympto

117 articipants were included in the analysis of smoking habits with a median (IQR) follow-up time of 12.

118 5.4] years) were included in the analysis of smoking habits with a median (IQR) follow-up time of 12.