Literature DB >> 20595782

Factors associated with active smoking, quitting, and secondhand smoke exposure among pregnant women in Greece.

Constantine I Vardavas1, Evridiki Patelarou, Leda Chatzi, Theano Roumeliotaki, Katerina Sarri, Sharon Murphy, Antonis Koutis, Anthony G Kafatos, Manolis Kogevinas.   

Abstract

BACKGROUND: Pregnant women are exposed to tobacco smoke through active smoking and contact with secondhand smoke (SHS), and these exposures have a significant impact on public health. We investigated the factors that mediate active smoking, successful quitting, and SHS exposure among pregnant women in Crete, Greece.
METHODS: Using a cotinine-validated questionnaire, data were collected on active smoking and exposure to secondhand smoke from 1291 women who had successfully completed the first contact questionnaire of the prospective mother-child cohort (Rhea) in Crete during the 12th week of pregnancy.
RESULTS: Active smoking at some time during pregnancy was reported by 36% of respondents, and 17% were current smokers at week 12 of gestation. Those less likely to quit smoking during pregnancy were those married to a smoker (OR, 1.76; P = 0.008), those who were multiparous (1.72; P = 0.011), and those with young husbands. Of the 832 (64%) nonsmokers, almost all (94%, n = 780) were exposed to SHS, with the majority exposed at home (72%) or in a public place (64%). Less educated women and younger women were exposed more often than their better educated and older peers (P < 0.001). Adjusting for potential confounders, parental level of education, age, and ethnicity were the main mediators of exposure to SHS during pregnancy.
CONCLUSIONS: Active smoking and exposure to SHS are very prevalent among pregnant women in Greece. The above findings indicate the need for support of population-based educational interventions aimed at smoking cessation in both parents, as well as of the importance of establishing smoke-free environments in both private and public places.

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Year:  2010        PMID: 20595782      PMCID: PMC3900829          DOI: 10.2188/jea.je20090156

Source DB:  PubMed          Journal:  J Epidemiol        ISSN: 0917-5040            Impact factor:   3.211


INTRODUCTION

Tobacco consumption is a leading cause of preventable death.[1] Tobacco contains a plethora of carcinogenic and volatile chemicals, and both active smoking and exposure to secondhand smoke (SHS) are related to the development of cancer and cardiovascular disease.[2] Exposure to cigarette smoke in utero, whether via maternal smoking or maternal exposure to SHS, is associated with a number of adverse pregnancy outcomes,[3] is a source of severe oxidative stress in the unborn child,[4] and can have detrimental effects on fetal growth, neurodevelopment,[5] neurobehavior,[6] and cardiovascular regulation[7] that predispose the fetus to a number of adverse health outcomes.[8] Pregnancy is perceived by many to be a unique window of opportunity for smoking cessation, as motivation to care for the unborn fetus is typically high.[9] Smoking cessation during pregnancy is also a significant method of harm reduction, as cessation early during pregnancy has been found to reduce the risk of infant death[10] and prevent adverse pregnancy outcomes such as low birth weight, small for gestational age, and preterm delivery.[11],[12] Moreover, as cessation can subsequently influence the child’s exposure to tobacco smoke during infancy, it is important to identify the factors that mediate spontaneous cessation during pregnancy. To date, a number of factors have been found to influence the continuation of smoking during pregnancy, including parity, level of education, socioeconomic status, household SHS exposure, and the smoking habits of both parents. Psychosocial pressures, such as anxiety, high job strain, and exposure to violence, are also important.[13]–[17] The factors that influence the continuation of smoking or maternal quitting attempts should be identified at a population level and acknowledged when designing interventional studies. Because smoking prevalence among women in Greece is notoriously high,[18] the purpose of this research was to investigate the factors that influence active smoking and maternal quitting during early pregnancy, and to identify the main determinants of exposure to SHS, among pregnant women in Crete, Greece.

METHODS

Aim of the Rhea study

The aim of the mother-child cohort in Crete (Rhea study) is to evaluate nutritional, environmental, biological, and psychosocial exposures in the prenatal period and early childhood and to determine how these are associated with the development of the fetus and child, and with the occurrence of chronic disease. Moreover, within the Rhea cohort, the FETAL (“Fetal and infant exposure to secondhand smoke and its role in acute and chronic disease development”) substudy was conducted to identify the extent to which unborn children in Greece are exposed to active maternal smoking and secondhand smoke, and to clarify how this exposure may predispose the unborn child to development of acute and chronic disease.

Design of the study

The Rhea study examined a mother-child cohort of pregnant women (Greeks and immigrants) who were residents of the prefecture of Heraklion, Crete. All women who became pregnant during the 1-year period from February 2007 until February 2008 were contacted and asked to participate in the study. The first contact took place around week 12 of gestation, in the form of a face-to-face, computer-assisted, interview. The study was approved by the relevant ethical committee, and all participants provided written informed consent. During the study period, 2221 women were contacted, of which 461 did not meet the entry criteria (ie, they had a limited understanding of Greek or were nonresidents of the prefecture of Heraklion) and 154 refused to participate, leaving a study population of 1606 pregnant women who agreed to participate. The data presented in this manuscript refer to cross-sectional information collected during the first major interview (which took place in approximately the third month of pregnancy) of the 1291 women from which complete questionnaire data were available.

Smoking and SHS exposure

Information on both maternal and paternal sociodemographic characteristics was collected, as was extensive information on both parents’ self-reported smoking habits and exposure to SHS. Smoking status was classified into 3 categories. Nonsmokers were classified as women who reported not smoking for at least 3 months before pregnancy; ex-smokers were classified as those who reported smoking some time within the 3 months before pregnancy or some time during the first 12 weeks, but who had quit since; and active smokers were classified as those who reported smoking 3 months before pregnancy, during early pregnancy, and at the time of interview, which took place at approximately week 12 of gestation. Information on maternal exposure to SHS was also collected. Specifically, mothers were asked to report if they had any exposure to SHS during their pregnancy and from which source. The 5 different sources that were investigated were the family home, the mother’s workplace, cars, public venues (restaurants, cafés), and miscellaneous sources, such other homes, social gatherings, etc. In addition, the mother’s cumulative number of SHS exposure sources was determined by adding the number of different sources to which she was exposed (house + work + car + public venues + other places).

Questionnaire validity

To evaluate the validity of the SHS questionnaire, urine samples were collected from 33 randomly selected nonsmoking women. The samples were analyzed for total cotinine (cotinine plus cotinine N-glucuronide) by treating them with a base to cleave the glucuronide conjugates before gas chromatography–mass spectrometry analysis, as previously described.[19] Cotinine levels were log-transformed due to the skewness of the distribution, and the log cotinine levels were compared to self-reported levels. Those exposed to SHS in the house had approximately 3 times the geometric mean cotinine levels of those who had not been exposed (14.4 ng/ml vs. 4.4 ng/ml, P < 0.02). Similarly, those who reported exposure to SHS in public places had almost 3 times the level of those who did not (18.2 ng/ml vs. 6.9 ng/ml, P < 0.02).

Statistical analysis

Descriptive data are presented as mean ± standard deviation for continuous variables and as percentages (n) for categorical variables. Bivariate associations between dependent and independent variables were evaluated using Pearson’s chi-square test for categorical variables and the t-test for continuous variables. All hypothesis testing was conducted assuming a 0.05 significance level and a 2-sided alternative hypothesis. Multivariable logistic regression models were further applied to investigate the factors that may mediate smoking before pregnancy, quitting during pregnancy, and maternal exposure to SHS during pregnancy. The statistical package SPSS 16.0 was used to perform the analysis.

RESULTS

Smoking and quitting among pregnant women in Greece

The prevalence of any smoking during pregnancy was estimated at 36% of all pregnant women, among which 19% quit, leaving 17% of pregnant women as active smokers during the 12th week of pregnancy (Table 1). The participants’ educational level was strongly associated with maternal smoking status: only 13% (n = 47) of higher-educated mothers were active smokers, as compared with 25% (n = 66) of lower-educated mothers (P < 0.001). Further, the percentage of smokers among women married to higher-educated husbands was lower than that among those married to lower-educated husbands (12% vs. 24%, P < 0.001). In addition, both the husband’s and the pregnant mother’s ethnicity were significant determinants of smoking status during pregnancy.
Table 1.

Smoking statusa and sociodemographic characteristics of pregnant women and their husbands in the Greek RHEA birth cohort study, 2007–2008

  NonsmokerEx-smokerActive smokerP valued
AgebMaternal age (mean ± SD)29.7 ± 5.128.9 ± 4.929.1 ± 5.30.063
 Paternal age (mean ± SD)33.5 ± 5.832.5 ± 5.732.2 ± 5.50.001
 
ResidencecUrban % (n)64 (606)18 (168)19 (180)0.210
 Rural % (n)68 (193)14 (38)18 (51) 
 
EthnicitycGreek % (n)63 (734)18 (207)19 (222)0.004
 Non-Greek % (n)77 (98)8 (10)16 (20) 
 
Paternal ethnicitycGreek % (n)63 (753)18 (211)20 (238)<0.001
 Non-Greek % (n)80 (90)4 (5)16 (18) 
 
EducationcLow % (n)62 (167)13 (35)25 (66)0.001
 Medium % (n)61 (394)20 (127)19 (122) 
 High % (n)72 (264)15 (55)13 (47) 
 
Paternal educationcLow % (n)62 (286)15 (67)24 (110)<0.001
 Medium % (n)65 (345)19 (101)17 (88) 
 High % (n)70 (184)18 (47)12 (32) 
 
ParitycMultipara % (n)64 (509)15 (121)21 (164)0.024
 Primipara % (n)65 (319)19 (95)16 (76) 

TotalSmoking status % (n)64 (832)19 (242)17 (217)n/a

aCurrent smoking defined as a pregnant woman self-reported as a smoker at the 12th week of gestation.

b2-sided t-test.

c2-sided chi-square test.

dP values based on 2-sided tests, with values <0.05 regarded as statistically significant.

aCurrent smoking defined as a pregnant woman self-reported as a smoker at the 12th week of gestation. b2-sided t-test. c2-sided chi-square test. dP values based on 2-sided tests, with values <0.05 regarded as statistically significant. We also examined factors associated with smoking before pregnancy (active smokers and ex-smokers vs. nonsmokers) in a regression model adjusted for potential confounders, as described in the Methods (Table 2). Active smoking before pregnancy was related to having a husband who smoked (OR, 2.90; 95% CI, 2.25–3.75) and to low maternal education (1.40; 1.06–1.85). Specifically, lower-educated women were more likely to be smokers than were higher-educated mothers (1.40; 1.06–1.85). A protective effect was observed for being married to a non-Greek husband (0.41; 0.23–0.74), for living in a rural area (0.68; 0.49–0.92), and for every year of increase in her husband’s age (0.96; 0.95–0.97).
Table 2.

Factors associated with smoking before pregnancy and quitting during pregnancy of the study population in the Greek RHEA birth cohort study, 2007–2008

  ORa95% CIP valueb
Factors associated with smoking before pregnancy(Current/ex-smokers vs. nonsmokers)
Paternal ageChange per year0.960.95–0.97<0.001
Paternal ethnicityGreek1.00  
 Non-Greek0.410.23–0.740.003
Education levelHigh1.00  
 Mid/low1.401.06–1.850.018
ResidenceUrban1.00  
 Rural0.680.49–0.920.013
Paternal smoking statusNonsmoker1.00  
 Smoker2.902.25–3.75<0.001
 
Factors associated with continued smoking during pregnancy(Current vs. ex-smokers)
Paternal ageChange per year0.980.97–0.990.002
Paternal ethnicityGreek1.00  
 Non-Greek3.030.95–9.700.062
Paternal smoking statusNonsmoker1.00  
 Smoker1.761.16–2.670.008
ParityPrimipara1.00  
 Multipara1.721.13–2.610.011

aBackward logistic regression analysis was conducted with the following factors in step 1: maternal and paternal age, level of education (high vs. mid/low), ethnicity (Greek vs. immigrant), paternal smoking status, parity (primipara vs. multipara), place of residence (urban vs. rural), and maternal occupational status (working vs. unemployed or on leave). In the first regression analysis an OR >1 indicates women more likely to be smokers; in the second regression analysis, an OR >1 indicates women who continued to smoke during pregnancy and did not quit.

bP values based on 2-sided tests, with variables excluded when P > 0.1. Statistical significance was defined as P < 0.05.

aBackward logistic regression analysis was conducted with the following factors in step 1: maternal and paternal age, level of education (high vs. mid/low), ethnicity (Greek vs. immigrant), paternal smoking status, parity (primipara vs. multipara), place of residence (urban vs. rural), and maternal occupational status (working vs. unemployed or on leave). In the first regression analysis an OR >1 indicates women more likely to be smokers; in the second regression analysis, an OR >1 indicates women who continued to smoke during pregnancy and did not quit. bP values based on 2-sided tests, with variables excluded when P > 0.1. Statistical significance was defined as P < 0.05. The factors that influenced maternal quitting during pregnancy were mostly related to paternal characteristics (Table 2). Women married to smokers (1.76; 1.16–2.67) and to non-Greek husbands (3.03; 0.95–9.70), were less likely to quit during pregnancy, while the husband’s age had a protective effect (0.98; 0.97–0.99, per 1 year of increase). Additionally, multiparous women were also less likely to quit (1.72; 1.13–2.61).

Exposure to SHS among pregnant women in Greece

As shown in Table 3, a large percentage of pregnant women had been exposed to SHS, with 72% exposed to SHS at home, 64% in public places, and 49% at work. Regarding household exposure to SHS from at least 1 family member, 84% of the lower-educated mothers were exposed to household SHS, in comparison with only 58% of the higher-educated mothers (P < 0.001), while only 48% of those living with higher-educated husbands were exposed to SHS, in comparison with 84% of those married to lower-educated husbands (P < 0.001). Furthermore, the number of children in the household was also found to mediate maternal exposure to SHS: mothers were exposed to SHS in 79% of households with 3 or more children, as compared with 67% of households with 1 or 2 children (P = 0.007). Husbands were the main source of household SHS exposure in 92% (n = 363) of the homes in which the mother was exposed; in the remaining 8% of houses, the source of exposure was another close family member. Exposure to SHS in public places was associated with maternal and paternal age (exposed mothers and husbands were younger, P = 0.01 and P < 0.001, respectively), ethnicity, and parity. Specifically, Greek women (66%) reported higher exposure than did immigrant women (46%, P < 0.001), as did women with Greek husbands (66%), as compared with those with immigrant husbands (48%, P = 0.002). Exposure to SHS in a car was reported by 28% of pregnant nonsmoking women (n = 231). Lower maternal and paternal education, as well as younger age, were associated with self-reported exposure (P < 0.001 in all cases), which was similar to the findings regarding self-reported exposure to SHS from other sources, such as social gatherings and visits. It is noteworthy that only 6% of women reported that they were not exposed to SHS from any source (household, work, public places, car, other sources) during the first 12 weeks of pregnancy; thus, 94% were exposed, and 44% of nonsmoking women reported being exposed to SHS from at least 3 different sources.
Table 3.

Sources of secondhand smoke exposure by sociodemographic characteristics in nonsmokinga pregnant women in the Greek RHEA birth cohort study, 2007–2008

  Exposure at homeExposure at workdExposure in public placeExposure in carExposure in other places





  ExposedUnexposedExposedUnexposedExposedUnexposedExposedUnexposedExposedUnexposed
AgebMaternal age (m ± SD)29.3 ± 5.2*30.7 ± 4.430.2 ± 4.0*31.7 ± 4.629.3 ± 4.9*30.3 ± 5.228.0 ± 5.3*30.3 ± 4.828.9 ± 5.0*30.8 ± 4.9
 Paternal age (m ± SD)33.2 ± 5.7*34.3 ± 5.733.1 ± 5.0*35.1 ± 5.532.9 ± 5.7*34.4 ± 5.832.2 ± 5.9*34.0 ± 5.632.9 ± 5.6*34.4 ± 5.9
 
ResidencecUrban %7128.851.148.964.735.325.0*75.057.3*42.7
 Rural %7525.037.562.560.439.637.3*62.766.3*33.7
 
EthnicitycGreek %7227.948.951.166.2*33.827.872.259.940.1
 Non-Greek %7030.548.651.446.3*53.728.671.457.142.9
 
Paternal ethnicitycGreek %7227.749.350.765.6*34.427.672.459.640.4
 Non-Greek %6831.843.856.348.2*51.830.769.359.140.9
 
EducationcLow %84*15.743.256.858.841.239.3*60.766.1*33.9
 Medium %75*24.753.047.064.036.031.6*68.463.9*36.1
 High %58*41.953.853.867.132.915.6*84.448.9*51.1
 
Paternal educationcLow %8416.449.450.662.337.742.9*57.172.1*27.9
 Medium %74*25.650.349.763.836.226.0*74.061.7*38.3
 High %48*52.252.852.866.133.99.2*90.838.0*62.0
 
Paternal smoking statusNonsmoker %50*50.350.249.863.336.712.3*87.755.3*44.7
 Smoker %100*0.046.953.164.535.547.9*52.165.0*35.0
 
ParitycMultipara %7129.246.153.961.138.927.572.558.141.9
 Primipara %7426.553.546.568.431.628.671.461.938.1
 
No. of children in housec1–267*33.148.951.164.335.725.774.358.341.7
 3+79*20.945.354.756.443.632.367.758.741.3

Total population % (n) 71.8 (584)28.2 (229)48.8 (189)51.2 (198)63.8 (515)36.2 (292)27.9 (231)72.1 (597)40.5 (493)59.5 (335)

aNonsmoking status was defined as a pregnant woman who had not smoked cigarettes for at least 3 months before conception; P values based on 2-sided tests: †<0.05, *<0.001.

b2-sided t-test.

c2-sided chi-square test.

d387 women worked during pregnancy; only these women were analyzed.

aNonsmoking status was defined as a pregnant woman who had not smoked cigarettes for at least 3 months before conception; P values based on 2-sided tests: †<0.05, *<0.001. b2-sided t-test. c2-sided chi-square test. d387 women worked during pregnancy; only these women were analyzed. Factors other than paternal smoking that were independently associated with exposure to SHS during pregnancy, after controlling for possible confounders, are shown in Table 4. Household exposure to SHS was mediated by paternal and maternal education, and by paternal ethnicity. As compared with women with higher-educated husbands, women with lower-educated husbands were more likely to be exposed to SHS in the house (OR, 2.87; 95% CI, 1.99–4.15; P < 0.001), car (2.88; 1.63–5.06; P < 0.001), other places (3.53; 2.53–4.92; P < 0.001), and from more sources (2.54; 1.67–3.86; P < 0.001). Lower maternal education was also related to higher exposure in the car (OR, 1.54) and to more sources of exposure (1.50). Maternal age was an important factor that mediated SHS exposure, as elder mothers were less likely to be exposed to SHS (OR, 0.92–0.98 per 1 year increase). Furthermore, maternal exposure to SHS in public venues was only associated with maternal age (older mothers were more likely to be exposed; OR, 1.02 per 1 year increase) and ethnicity (non-Greek mothers were less likely to be exposed than their Greek peers; OR, 0.44). Finally, when the number of sources of exposure to SHS was taken into account, parity was a significant mediator in addition to those noted above, as multiparous women were less likely to be exposed to SHS than were women who had no other children (OR, 0.69; 95% CI, 0.50–0.96; P = 0.028).
Table 4.

Factors associated with exposure to secondhand smoke among nonsmoking pregnant women in the Greek RHEA birth cohort study, 2007–2008

  ORa95% CIP-valueb
Exposure to SHS in house
Paternal ethnicityGreek1.00 0.017
 Non-Greek0.490.28–0.88 
Paternal educationHigh1.00 <0.001
 Mid/low2.871.99–4.15 
 
Exposure to SHS in public venue
Maternal ethnicityGreek1.00  
 Non-Greek0.440.27–0.700.001
AgeChange per year1.021.01–1.03<0.001
 
Exposure to SHS in car
AgeChange per year0.920.91–0.94<0.001
Paternal educationHigh1.00  
 Mid/low2.881.63–5.06<0.001
Maternal educationHigh1.00  
 Mid/low1.540.98–2.420.060
ResidenceUrban1.00  
 Rural1.541.05–2.240.026
 
Exposure to SHS in other places
AgeChange per year0.980.97–0.99<0.001
Paternal educationHigh1.00  
 Mid-Low3.532.53–4.92<0.001
 
Higher SHS exposure (>2 sources vs. 0–2 sources)
AgeChange per year0.980.96–0.99<0.001
Maternal ethnicityGreek1.00  
 Non-Greek0.450.27–0.740.002
Educational levelHigh1.00  
 Mid/low1.501.03–2.180.034
Paternal educationHigh1.00  
 Mid/low2.541.67–3.86<0.001
ParityPrimipara1.00  
 Multipara0.690.50–0.960.028

aBackward logistic regression analysis among nonsmokers was conducted with the following factors in step 1: maternal and paternal age, level of education (high vs. mid/low), ethnicity (Greek vs. immigrant), parity (primipara vs. multipara), and place of residence (urban vs. rural).

bP values based on 2-sided tests, with variables excluded when P > 0.1. The level of statistical significance was defined as P < 0.05.

aBackward logistic regression analysis among nonsmokers was conducted with the following factors in step 1: maternal and paternal age, level of education (high vs. mid/low), ethnicity (Greek vs. immigrant), parity (primipara vs. multipara), and place of residence (urban vs. rural). bP values based on 2-sided tests, with variables excluded when P > 0.1. The level of statistical significance was defined as P < 0.05.

DISCUSSION

In the present study, 36% of pregnant women reported smoking some time during the first weeks of pregnancy, and half of them quit before week 12. Quitting was related primarily to their husband’s characteristics: women married to men who were Greek, higher-educated, or nonsmokers were more likely to quit than their respective peers. Among nonsmoking pregnant women, 94% reported as least some exposure to SHS during pregnancy, with the majority reporting SHS exposure in the home or in public places. Lower-educated women and women with lower-educated spouses were more likely to be exposed to SHS, as were younger women. The percentage of pregnant women who reported smoking at the beginning of and before pregnancy was very similar to the prevalence of smoking among women in Greece. Previous research indicated that the prevalence of active smoking among women in Greece ranges from 23% to 39%, while population-based studies of parents of preschool children in Crete[18] revealed a similar percentage, 38%. Maternal pre-pregnancy smoking status was independently related to the husband’s age, ethnicity, and smoking status, and to maternal education and place of residence. Among these factors, being married to a smoker was the strongest predictor of maternal smoking status, a fact that could be influenced by partner selection. These findings are similar to those noted in previous studies, which highlighted the role of educational inequalities and rural/urban differences on smoking prevalence among European adults.[19]–[21] Smoking cessation is a critical aspect of harm reduction during pregnancy, and is dependent on a number of personal, family, educational, and social characteristics and beliefs such as age, awareness, education, occupation, social status, residence, parity, stress, partner smoking status, and even psychological factors such as fear of excessive weight gain during pregnancy.[12]–[17],[22],[23] Although a large number of studies have identified maternal factors as strong predictors of spontaneous cessation during pregnancy, we found that, in Crete, paternal and family characteristics were a stronger indicator of maternal cessation, ie, those less likely to quit smoking during pregnancy were married to a smoker or to have more than 1 child. Indeed, evidence has suggested that the existence of past pregnancies which resulted in the birth of healthy children undermines the motivation to cease smoking during a subsequent pregnancy, which could be the case among the women of our study population.[24] Moreover, neither maternal nor paternal education status was found to be statistically associated with smoking cessation after conception. The detrimental effects of fetal exposure to SHS are well established. Despite the known adverse pregnancy outcomes and developmental effects of such exposure, almost all pregnant women were exposed, and the household was the main source of exposure. The avoidance of household SHS exposure is believed to be associated with strong social determinants, such as the existence of household smoking bans, the number of cigarettes smoked per day, parental educational status, and awareness of the harm of SHS.[25],[26] We, too, found that maternal and paternal educational status were strong determinants of household exposure to SHS, with the latter playing a more significant role. The effect of paternal ethnicity was confounded by education level since most non-Greek partners of nonsmoking women had a low education level. When education was evaluated in the multivariate model, the ethnicity of the husband was associated with exposure to SHS at home. Exposure to SHS in a car was also determined by paternal educational status and age, similar to the results of other studies in which the father’s educational status was a stronger predictor than maternal education of automobile SHS exposure.[27] After controlling for possible confounders, lower-educated women of Greek origin, those married to lower-educated men, those who were older, and those with only 1 child were found to be exposed to SHS from a larger number of sources. Although this categorization does not take into account different times, frequencies, or levels of exposure, we hypothesize that mothers exposed to SHS from a larger number of sources have greater overall exposure to SHS than do women with fewer sources of exposure. Moreover, the second largest source of exposure among the women in our study population was exposure to SHS in public places, with older women and women of non-Greek origin less likely to be exposed—a fact that we attribute to social factors, as it is very common for young people, mainly of Greek ethnicity, to patronize public venues such as cafés and restaurants. Research has documented elevated levels of SHS in the majority of public venues in Greece, despite the existence of a partial smoking ban[28] that is flagrantly ignored.[29] The significance of the application of and adherence to a smoking ban is apparent when one takes into account both immediate and long-term health benefits.[30] Smoke-free policies can have a profound effect on the population’s level of exposure to SHS, and can be an effective strategy for reducing both active smoking and SHS exposure among pregnant women, as was seen after the implementation of a comprehensive smoking ban and educational campaign in neighboring Italy.[31] The present study’s design and relatively large and representative sample allow us to interpret the results with confidence and permit generalizability among the population of Crete. However, it should be noted that the results on active smoking are based on self-reported data and are therefore subject to bias, as it is unclear whether these self-reported measures during pregnancy are underreported or accurate.[32] If current smoking status was underreported, this would result in lower prevalences, which would make the results even stronger. Data on the number of cigarettes before pregnancy was not available; therefore, we were not able to analyze that covariate in the regression analysis. Additionally, exposure to SHS was not evaluated with the use of a biomarker (eg, cotinine), but such analysis is likely in the future. Despite this, women are more likely to have underreported their exposure to SHS; thus, their exposure may be even higher than noted in this report.[33] Both active smoking and exposure to SHS are significant threats to public and prenatal health in Greece. Taking into account the elevated percentage of mothers that either continue to smoke during pregnancy or are exposed to SHS, the necessity of developing educational awareness programs is undeniable. Such educational campaigns, provided either during obstetrical visits or via a mass media intervention campaign, should focus on younger, less-educated, mothers and their spouses, who were identified in this study as more likely to be smokers before conception. Moreover, as more than a third of women reported smoking at some time during pregnancy, these educational interventions should also be addressed to both youths and women of reproductive age, so as to reduce tobacco use and educate the population regarding the ramifications of fetal exposure to tobacco constituents. Additionally, because a significant source of SHS exposure during pregnancy was exposure in public places, the enforcement of a nationwide comprehensive smoking ban in public places in Greece is imperative.
  31 in total

Review 1.  Spontaneous quitting: self-initiated smoking cessation in early pregnancy.

Authors:  Laura Solomon; Virginia Quinn
Journal:  Nicotine Tob Res       Date:  2004-04       Impact factor: 4.244

2.  Greece's tobacco policy: another myth?

Authors:  C I Vardavas; A Kafatos
Journal:  Lancet       Date:  2006-05-06       Impact factor: 79.321

3.  Determinants and consequences of smoke-free homes: findings from the International Tobacco Control (ITC) Four Country Survey.

Authors:  R Borland; H-H Yong; K M Cummings; A Hyland; S Anderson; G T Fong
Journal:  Tob Control       Date:  2006-06       Impact factor: 7.552

Review 4.  Smoking policy and prevalence in Greece: an overview.

Authors:  Constantine I Vardavas; Anthony G Kafatos
Journal:  Eur J Public Health       Date:  2006-10-25       Impact factor: 3.367

5.  Quantitation of urinary metabolites of a tobacco-specific lung carcinogen after smoking cessation.

Authors:  S S Hecht; S G Carmella; M Chen; J F Dor Koch; A T Miller; S E Murphy; J A Jensen; C L Zimmerman; D K Hatsukami
Journal:  Cancer Res       Date:  1999-02-01       Impact factor: 12.701

6.  Educational inequalities in smoking among men and women aged 16 years and older in 11 European countries.

Authors:  M Huisman; A E Kunst; J P Mackenbach
Journal:  Tob Control       Date:  2005-04       Impact factor: 7.552

7.  Smoking in early gestation or through pregnancy: a decision crucial to pregnancy outcome.

Authors:  Kaisa Raatikainen; Päivi Huurinainen; Seppo Heinonen
Journal:  Prev Med       Date:  2006-09-07       Impact factor: 4.018

8.  Self-reported nicotine exposure and plasma levels of cotinine in early and late pregnancy.

Authors:  Lena George; Fredrik Granath; Anna L V Johansson; Sven Cnattingius
Journal:  Acta Obstet Gynecol Scand       Date:  2006       Impact factor: 3.636

9.  Demographic and psychosocial profile of smoking among pregnant women in Lebanon: public health implications.

Authors:  Monique Chaaya; Johnny Awwad; Oona M R Campbell; Abla Sibai; Afamia Kaddour
Journal:  Matern Child Health J       Date:  2003-09

10.  Estimates of global mortality attributable to smoking in 2000.

Authors:  Majid Ezzati; Alan D Lopez
Journal:  Lancet       Date:  2003-09-13       Impact factor: 79.321

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  19 in total

1.  Prevalence and predictors of smoking and quitting during pregnancy in Serbia: results of a nationally representative survey.

Authors:  Srmena Krstev; Jelena Marinković; Snežana Simić; Nikola Kocev; Susan J Bondy
Journal:  Int J Public Health       Date:  2011-09-16       Impact factor: 3.380

2.  The Effect of Second-Hand Smoke Exposure during Pregnancy on the Newborn Weight in Malaysia.

Authors:  Bachok Norsa'adah; Omar Salinah
Journal:  Malays J Med Sci       Date:  2014-03

3.  Birth weight and prenatal exposure to polychlorinated biphenyls (PCBs) and dichlorodiphenyldichloroethylene (DDE): a meta-analysis within 12 European Birth Cohorts.

Authors:  Eva Govarts; Mark Nieuwenhuijsen; Greet Schoeters; Ferran Ballester; Karolien Bloemen; Michiel de Boer; Cécile Chevrier; Merete Eggesbø; Mònica Guxens; Ursula Krämer; Juliette Legler; David Martínez; Lubica Palkovicova; Evridiki Patelarou; Ulrich Ranft; Arja Rautio; Maria Skaalum Petersen; Rémy Slama; Hein Stigum; Gunnar Toft; Tomas Trnovec; Stéphanie Vandentorren; Pál Weihe; Nynke Weisglas Kuperus; Michael Wilhelm; Jürgen Wittsiepe; Jens Peter Bonde
Journal:  Environ Health Perspect       Date:  2011-10-13       Impact factor: 9.031

Review 4.  European birth cohorts for environmental health research.

Authors:  Martine Vrijheid; Maribel Casas; Anna Bergström; Amanda Carmichael; Sylvaine Cordier; Merete Eggesbø; Esben Eller; Maria P Fantini; Mariana F Fernández; Ana Fernández-Somoano; Ulrike Gehring; Regina Grazuleviciene; Cynthia Hohmann; Anne M Karvonen; Thomas Keil; Manolis Kogevinas; Gudrun Koppen; Ursula Krämer; Claudia E Kuehni; Per Magnus; Renata Majewska; Anne-Marie Nybo Andersen; Evridiki Patelarou; Maria Skaalum Petersen; Frank H Pierik; Kinga Polanska; Daniela Porta; Lorenzo Richiardi; Ana Cristina Santos; Rémy Slama; Radim J Sram; Carel Thijs; Christina Tischer; Gunnar Toft; Tomáš Trnovec; Stephanie Vandentorren; Tanja G M Vrijkotte; Michael Wilhelm; John Wright; Mark Nieuwenhuijsen
Journal:  Environ Health Perspect       Date:  2011-08-29       Impact factor: 9.031

5.  Obstetric care providers are able to assess psychosocial risks, identify and refer high-risk pregnant women: validation of a short assessment tool - the KINDEX Greek version.

Authors:  Andria Spyridou; Maggie Schauer; Martina Ruf-Leuschner
Journal:  BMC Pregnancy Childbirth       Date:  2015-02-21       Impact factor: 3.007

6.  Exposure to active and passive smoking among Greek pregnant women.

Authors:  Victoria G Vivilaki; Athina Diamanti; Maria Tzeli; Evridiki Patelarou; Debra Bick; Sophia Papadakis; Katerina Lykeridou; Paraskevi Katsaounou
Journal:  Tob Induc Dis       Date:  2016-04-05       Impact factor: 2.600

7.  Individual and city-level determinants of secondhand smoke exposure in China.

Authors:  Tingzhong Yang; Shuhang Jiang; Ross Barnett; Sihui Peng; Lingwei Yu
Journal:  Int J Health Geogr       Date:  2015-12-29       Impact factor: 3.918

8.  The effects of healthy diet in pregnancy.

Authors:  Fateme Davari Tanha; Mona Mohseni; Mahsa Ghajarzadeh; Mamak Shariat
Journal:  J Family Reprod Health       Date:  2013-09

9.  Smoking during pregnancy: childbirth and health study in primary care in Iceland.

Authors:  Asthildur Erlingsdottir; Emil L Sigurdsson; Jon Steinar Jonsson; Hildur Kristjansdottir; Johann A Sigurdsson
Journal:  Scand J Prim Health Care       Date:  2014-02-17       Impact factor: 2.581

10.  Prevalence of smoking before and during pregnancy and changes in this habit during pregnancy in Northwest Russia: a Murmansk county birth registry study.

Authors:  Olga A Kharkova; Alexandra Krettek; Andrej M Grjibovski; Evert Nieboer; Jon Øyvind Odland
Journal:  Reprod Health       Date:  2016-03-08       Impact factor: 3.223

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