Non-Smokers
This population is of particular interest in medical research, as their health status can provide valuable insights into the effects of smoking and the potential benefits of smoking cessation.
Non-Smokers may be used as control groups in studies investigating the impact of smoking on various health outcomes, such as cardiovascular disease, respiratory function, and cancer risk.
Researchers can leverage the physiological and behavioral characteristics of Non-Smokers to better understand the mechanisms underlying smoking-related illnesses and develop more effective preventive and treatment strategies.
Additionaly, Non-Smokers may be a focus of public health initiatives aimed at promoting healthy lifestyles and reducing the burden of tobacco use.
Most cited protocols related to «Non-Smokers»
Children’s Environmental Health (CCCEH) (Perera et al. 2003 (link)). The study was approved by the Institutional Review Board (IRB) of Columbia
University. Dominican and African-American women (ethnicity classified
by self-report) residing in Washington Heights, Central Harlem, and
the South Bronx, New York, who registered at the obstetrics/gynecology
clinics at New York Presbyterian Medical Center and Harlem Hospital
by the 20th week of pregnancy were approached in the clinics for
consent. At that time, the women agreeing to participate in the prospective
cohort study signed the IRB-approved consent form. Eligible women
were nonsmokers during the current pregnancy; were free of diabetes, hypertension, and
known HIV; had no documented or reported drug abuse; and
had resided in the area for at least 1 year. At the time of this
report, of 648 consenting and eligible mother–infant pairs, 536 were
still participating in the cohort study; 271 children had reached 3 years
of age. The retention rate for the full cohort was 83% at
the 3-year follow-up. There were no significant differences between
women retained in the study versus those who were lost to follow-up, on
maternal age, ethnicity, marital status, education, income, gestational
age, or birth weight of the newborn.
In this report we focus on the 183 children 3 years of age who had valid
prenatal PAH monitoring data, all three annual developmental assessments, prenatal
questionnaire data on ETS, measurements of cotinine in
maternal and cord blood samples ≥25 ng/mL (to exclude the possibility
that the mother was an active smoker), and CPF level in cord blood. This
group did not differ in any of the maternal or infant characteristics
or prenatal exposures in
of missing data. Of these, 64 children were excluded because of missing
developmental testing data.
Most recents protocols related to «Non-Smokers»
Example 4
A female peri-implantitis patient, 66 years old and non-smoker, had severe bone loss at two implant sites (as shown in
A second peri-implantitis patient, 73 years and non-smoker, with severe bone loss at the implant sites and damaged gingiva (
The following treatment examples can be used as an adjunct to good mouth hygiene, scaling and root planing:
Behavioral risk factors were measured, including smoking status, body mass index (BMI), and alcohol consumption. Smoking status was categorized into three groups: non-smoker, former smoker, and current smoker. BMI was classified as underweight (< 18.5 kg/m2), normal (18.5–22.9 kg/m2), overweight (23–24.9 kg/m2), and obesity (≥25 kg/m2), according to the World Health Organization (WHO) obesity standard for the Asian population [17 (link)]. Alcohol consumption was classified into the following groups: rarely drinking, 2–3 times/month, 1–2 times/week, 3–4 times/week, and almost every day. Additionally, the Charlson Comorbidity Index (CCI) was also calculated for inpatients using ICD-10 codes [18 (link)].
Differences in prevalence rates were tested using the χ2 test for patients diagnosed with SCZ < 2 compared to PHC.
Utilizing logistic regression with PAD as outcome (yes/no), associations with explanatory variables were investigated. Age, sex, smoking status (smoker or non-smoker), skin temperature, BMI, comorbidities, and diagnosis of schizophrenia were utilized as explanatory variables. For patients diagnosed with SCZ < 2, PHC was used as reference. For patients with SCZ ≥ 10, patients diagnosed with SCZ < 2 were used as reference.
P-values below 0.05 were considered statistically significant. For statistical analyses, Stata version 16 was used.
Top products related to «Non-Smokers»
More about "Non-Smokers"
This population holds immense value for medical research, as their health status can provide vital insights into the impacts of smoking and the potential benefits of quitting.
Non-smokers are often utilized as control groups in studies investigating the effects of tobacco use on various health outcomes, such as cardiovascular health, respiratory function, and cancer risk.
By analyzing the physiological and behavioral characteristics of non-smokers, researchers can better understand the mechanisms underlying smoking-related illnesses and develop more effective preventive and treatment strategies.
Additionally, non-smokers may be a focus of public health initiatives aimed at promoting healthy lifestyles and reducing the burden of tobacco use.
The SAS 9.4 statistical software, SPSS version 25, and Stata 14 are commonly used tools that can help researchers analyze data related to non-smokers and smoking-related health outcomes.
These advanced analytical platforms can provide valuable insights and support the development of evidence-based policies and interventions to improve the well-being of non-smokers and the broader population.