Title of article :
Smoking Pattern and Associated Sociodemographic Factors: Findings from a Nationwide STEPS Survey in Iran
Author/Authors :
Abachizadeh, Kambiz Social Determinants of Health Research Center - Shahid Beheshti University of Medical Sciences, Tehran, Iran , Soleiman Ekhtiari, Yalda Social Determinants of Health Research Center - Shahid Beheshti University of Medical Sciences, Tehran, Iran , Kolahi, Ali‑Asghar Social Determinants of Health Research Center - Shahid Beheshti University of Medical Sciences, Tehran, Iran
Abstract :
Background: Smoking is a modifiable risk factor for noncommunicable diseases with a wide
range of harmful health outcomes. Identification of sociodemographic characteristics of smokers
can be a guideline to development of effective intervention proportional to target population.
This study aimed to determine smoking pattern and its associated sociodemographic factors in
Iran. Methods: This cross‑sectional study was conducted based on data from the sixth round of
nationwide STEPwise approach to Surveillance (STEPS) survey in the 31 provinces of Iran. A total
of 10,834 participants aged ≥15 years were selected through a multistage cluster sampling method.
Collecting data was performed via three‑step questionnaire (ecological, behavioral risk factors, and
physical and biochemical measurements). Data analysis was performed via Epi Info and then SPSS
version 21 softwares using descriptive methods and analytical tests. Results: Of all participants,
9.6% were current cigarette smokers, which was significantly more frequent among men than
women (21.5% vs. 1.1%, respectively, P < 0.001). Smoking was significantly associated with
being self‑employed and having under diploma education level (P < 0.05). Of all current cigarette
smokers, 8.7% were daily smokers. The mean ± standard deviation of systolic blood pressure and
history of cardiovascular symptoms in current smokers were higher than nonsmokers (P = 0.005
and P < 0.001, respectively). Coughing for >4 weeks, frequent wheezing, and shortness of breath
were significantly more frequent in current smokers than nonsmokers (P < 0.001, P < 0.001, and
P = 0.02, respectively). Conclusions: Our results draw a picture of sociodemographic distribution
of smoking pattern to determine the specific characteristics of the target population affecting
cigarette smoking and identified specific demographic strategies for preventive and control action
plan.
Keywords :
Cigarette smoking , noncommunicable diseases , risk factors , tobacco smoking
Journal title :
Astroparticle Physics