A Cross-Section Study of Relationship Characteristics and Smoking Cessation During Pregnancy in a Sample of Romanian Pregnant Women

Maternal and Child Health Journal - Partner support and relationship characteristics may be important factors in effective couple-based pregnancy smoking cessation programs. Research is needed to...     

Estimates of Smoking Before and During Pregnancy,and Smoking Cessation During Pregnancy: Comparing Two Population-Based Data Sources

Objectives

We compared three measures of maternal smoking status—-prepregnancy, during pregnancy, and smoking cessation during pregnancy—between the Pregnancy Risk Assessment Monitoring System (PRAMS) questionnaire and the 2003 revised birth certificate (BC).

Methods

We analyzed data from 10,485 women with live births in eight states from the 2008 PRAMS survey, a confidential, anonymous survey administered in the postpartum period that is linked to select BC variables. We calculated self-reported prepregnancy and prenatal smoking (last trimester only) prevalence based on the BC, the PRAMS survey, and the two data sources combined, and the percentage of smoking cessation during pregnancy based on the BC and PRAMS survey. We used two-sided t-tests to compare BC and PRAMS estimates.

Results

Prepregnancy smoking prevalence estimates were 17.3% from the BC, 24.4% from PRAMS, and 25.4% on one or both data sources. Prenatal smoking prevalence estimates were 11.3% from the BC, 14.0% from PRAMS, and 15.2% on one or both data sources. The percentages of prepregnancy smokers who indicated that they quit smoking by the last trimester were 35.1% from the BC and 42.6% from PRAMS. The PRAMS estimates of prepregnancy and prenatal smoking, and smoking cessation during pregnancy were statistically higher than the corresponding BC estimates (t-tests, p<0.05).

Conclusions

PRAMS captured more women who smoked before and during the last trimester than the revised BC. States implementing PRAMS and the revised BC should consider information from both sources when developing population-based estimates of smoking before pregnancy and during the last trimester of pregnancy.Prenatal smoking remains one of the most common preventable causes of infant morbidity and mortality. Smoking may cause reduced fertility and delayed conception among women and is associated with an increased risk of cleft lip and palate.^1,2 Smoking during pregnancy causes placental abruption, placenta previa, preterm delivery, low birthweight, Sudden Infant Death Syndrome (SIDS), and preterm-related death.² In the United States, an estimated 5%–8% of preterm deliveries, 13%–19% of full-term low birthweight deliveries, 23%–34% of SIDS deaths, and 5%–7% of preterm-related deaths could be averted if prenatal smoking was eliminated.³Healthy People 2020 goals include reducing the smoking prevalence before and during pregnancy and increasing smoking cessation during pregnancy.⁴ Most states can measure progress in achieving these goals by using two population-based data sources, the Pregnancy Risk Assessment Monitoring System (PRAMS) and the revised 2003 birth certificate (BC). PRAMS surveys women with live births and collects information on smoking in the three months before pregnancy, during the last three months of pregnancy, and approximately four months after delivery. PRAMS data are linked to each infant''s BC. As of 2011, 40 states and New York City were implementing PRAMS, representing 75% of U.S. live births.⁵ Unlike the 1989 version of the BC, which ascertains whether a woman smoked during pregnancy without specifying in which trimester, the 2003 revised BC collects data on smoking status during the three months before pregnancy and during the first, second, and third trimesters. As of 2011, 38 states had implemented the revised BC, representing 86% of U.S. live births (Personal communication, Joyce Martin, National Center for Health Statistics, October 2011).Two previous studies compared the BC and PRAMS in ascertaining self-reported smoking during pregnancy only and found that using PRAMS resulted in higher estimates of prenatal smoking than using the BC.^6,7 In the Allen et al. study,⁶ only two of the 24 states had implemented the revised BC in 2004. To our knowledge, no studies have compared BC and PRAMS estimates of smoking in the three months before pregnancy and the percentage of women who quit smoking during pregnancy. Thus, our study is an update and expansion of findings from previous work.The purpose of this study was to compare estimates of prepregnancy and prenatal smoking using PRAMS, the BC, and both sources combined, and to compare the percentage of smokers who quit by the last trimester of pregnancy estimated using PRAMS with the percentage estimated using the BC. A secondary goal was to assess whether smokers identified by only one data source had similar or different demographic characteristics than smokers identified by both data sources.     

Predictors of Smoking Cessation in Pregnancy and Maintenance Postpartum in Low-Income Women

Objective: To describe factors associated with smoking status of low-income women during pregnancy and postpartum. Methods: Data from a randomized clinical trial were used to conduct separate analyses on 327 women who smoked at baseline (time at enrollment) and for whom smoking status was available at delivery, and on 109 women who reported not smoking at delivery (quit spontaneously or after study enrollment) and for whom smoking status was available at 6-months postpartum. Salivary cotinine was used to assess the accuracy of self-reported smoking status for the sample as a whole. Data were collected between May 1997 and November 2000. Results: 18% of the 327 baseline smokers stopped smoking before delivery. Cessation was less likely in older women, those reporting Medicaid coverage (vs. commercial or no insurance), who were at a later week of pregnancy at baseline, were more addicted, had a husband/partner who smoked, and did not receive the study intervention. 37% of the 109 women who reported not smoking at delivery maintained abstinence at 6-months postpartum. Factors associated with abstinence were later week of pregnancy at baseline and quitting spontaneously with pregnancy, while women who lived with a smoker were less likely to report abstinence. Spontaneous quitters were less likely to relapse by 6 months postpartum than women who quit smoking later in pregnancy. Conclusions: Partner participation in smoking cessation programs for pregnant and postpartum women merits exploration. Lower relapse rates among spontaneous quitters indicate a need to foster an environment that encourages quitting at pregnancy.     

Health-Related Quality of Life Among Pregnant Women With Pre-pregnancy Smoking and Smoking Cessation During Pregnancy in China: National Cross-sectional Study

BackgroundPrevious studies have hardly explored the influence of pre-pregnancy smoking and smoking cessation during pregnancy on the health-related quality of life (HRQoL) of pregnant women, which is a topic that need to be addressed. In addition, pregnant women in China constitute a big population in the largest developing country of the world and cannot be neglected.ObjectiveThis study aims to evaluate the HRQoL of pregnant women in China with different smoking statuses and further estimate the association between pre-pregnancy smoking, smoking cessation, and the HRQoL.MethodsA nationwide cross-sectional study was conducted to determine the association between different smoking statuses (smoking currently, quit smoking, never smoking) and the HRQoL in pregnant women across mainland China. A web-based questionnaire was delivered through the Banmi Online Maternity School platform, including questions about demographics, smoking status, and the HRQoL. EuroQoL Group’s 5-dimension 5-level (EQ-5D-5L) scale with EuroQoL Group’s visual analog scale (EQ-VAS) was used for measuring the HRQoL. Ethical approval was granted by the institutional review board of the First Affiliated Hospital of Sun Yat-sen University (ICE-2017-296).ResultsFrom August to September 2019, a total of 16,483 participants from 31 provinces were included, of which 93 (0.56%) were smokers, 731 (4.43%) were ex-smokers, and 15,659 (95%) were nonsmokers. Nonsmokers had the highest EQ-VAS score (mean 84.49, SD 14.84), smokers had the lowest EQ-VAS score (mean 77.38, SD 21.99), and the EQ-VAS score for ex-smokers was in between (mean 81.04, SD 17.68). A significant difference in EQ-VAS scores was detected between nonsmokers and ex-smokers (P<.001), which indicated that pre-pregnancy smoking does have a negative impact on the HRQoL (EQ-VAS) of pregnant women. Compared with nonsmokers, ex-smokers suffered from more anxiety/depression problems (P=.001, odds ratio [OR] 1.29, 95% CI 1.12-1.50). Among ex-smokers, the increased cigarette consumption was associated with a lower EQ-5D index (P=.007) and EQ-VAS score (P=.01) of pregnant women. Compared to smokers, no significant difference was found in the ex-smokers’ EQ-5D index and EQ-VAS score (P=.33).ConclusionsSmoking history is associated with a lower HRQoL in pregnant Chinese women. Pre-pregnancy smoking is related to a lower HRQoL (EQ-VAS) and a higher incidence of depression/anxiety problems. Smoking cessation during pregnancy does not significantly improve the HRQoL of pregnant Chinese women. Among ex-smokers, the more cigarettes they smoke, the lower HRQoL they have during pregnancy. We suggest that the Chinese government should strengthen the education on quitting smoking and avoiding second-hand smoke for women who have pregnancy plans and their family members.     

Factors Associated With Quitting Smoking During Pregnancy Among Women Veterans

IntroductionLittle is known about the rates of smoking among pregnant veterans. Our objective was to examine rates of smoking during pregnancy and factors associated with quitting smoking during pregnancy.MethodsWe used data from a cohort study of pregnant veterans from 15 Veterans Health Administration facilities nationwide. Veterans who reported smoking during pregnancy were included in this analysis. Poisson regression models were used to estimate the relative risk (RR) of quitting smoking during pregnancy.ResultsOverall, 133 veterans reported smoking during pregnancy. Among this group of women who smoked, the average age was 31.6 years, 20% were Black, and 14% were Hispanic/Latino. More than one-half of women (65%) who reported smoking at the start of pregnancy quit smoking during pregnancy. Multivariable models, adjusted for history of deployment and age, indicated that prenatal care initiation at 12 or fewer weeks compared with more than 13 weeks (relative risk [RR], 2.06; 95% confidence interval [CI], 1.18–3.58), living without household smokers compared with any household smokers (RR, 1.58; 95% CI, 1.14–2.17), and first pregnancy (RR, 1.51; 95% CI, 1.17–1.95) were significant predictors of quitting versus persistent smoking during pregnancy.ConclusionsWomen veterans who quit smoking may be different than those who continue to smoke during pregnancy. Establishing prenatal care early in pregnancy, which likely includes counseling about smoking cessation, seems to be an important factor in quitting. Those for whom it is not a first pregnancy and who live with other smokers may especially benefit from such counseling.     

Estimating the Impact of Smoking Cessation During Pregnancy: The San Bernardino County Experience

We examined the relation between maternal smoking and adverse infant outcomes [low birth weight (LBW), and preterm birth (PTB)] during 2007–2008 in San Bernardino County, California—the largest county in the contiguous United States which has one of the highest rates of infant mortality in California. Using birth certificate data, we identified 1,430 mothers in 2007 and 1,355 in 2008 who smoked during pregnancy. We assessed the effect of never smoking and smoking cessation during pregnancy relative to smoking during pregnancy for the 1,843/1,798 LBW, and 3,480/3,238 PTB’s recorded for 2007/2008, respectively. To describe the effect of quitting smoking during pregnancy, we calculated the exposure impact number for smoking during pregnancy. Major findings are: (1) relative to smoking during pregnancy, significantly lower risk of LBW among never smoking mothers [OR, year: 0.56, 2007; 0.54, 2008] and for smoking cessation during pregnancy [0.57, 2007; 0.72, 2008]; (2) relative to smoking during pregnancy, significantly lower risk of PTB was found for never smoking mothers [0.68, 2007; 0.68, 2008] and for smoking cessation during pregnancy [0.69, 2007; 0.69, 2008]; (3) an exposure impact assessment indicating each LBW or PTB outcome in the county could have been prevented either by at least 35 mothers quitting smoking during pregnancy or by 25 mothers being never smokers during pre-pregnancy. Our findings identify an important burden of adverse infant outcomes due to maternal smoking in San Bernardino County that can be effectively decreased by maternal smoking cessation.     

Associations Between Residential Segregation and Smoking During Pregnancy Among Urban African-American Women

Approximately 10% of African-American women smoke during pregnancy compared to 16% of White women. While relatively low, the prevalence of smoking during pregnancy among African-American women exceeds the Healthy People 2010 goal of 1%. In the current study, we address gaps in extant research by focusing on associations between racial/ethnic residential segregation and smoking during pregnancy among urban African-American women. We linked measures of segregation to birth certificates and data from the 2000 census in a sample of US-born African-American women (n = 403,842) living in 216 large US Metropolitan Statistical Areas (MSAs). Logistic regression models with standard errors adjusted for multiple individual observations within MSAs were used to examine associations between segregation and smoking during pregnancy and to control for important socio-demographic confounders. In all models, a u-shaped relationship was observed. Both low segregation and high segregation were associated with higher odds of smoking during pregnancy when compared to moderate segregation. We speculate that low segregation reflects a contagion process, whereby salutary minority group norms are weakened by exposure to the more harmful behavioral norms of the majority population. High segregation may reflect structural attributes associated with smoking such as less stringent tobacco control policies, exposure to urban stressors, targeted marketing of tobacco products, or limited access to treatment for tobacco dependence. A better understanding of both deleterious and protective contextual influences on smoking during pregnancy could help to inform interventions designed to meet Healthy People 2010 target goals. Bell, Zimmerman, Mayer, and Huebner are with the Department of Health Services, University of Washington, Seattle, WA, USA; Bell and Zimmerman are with the Child Health Institute, University of Washington, Seattle, WA, USA; Zimmerman and Huebner are with the Maternal and Child Health Program, University of Washington, Seattle, WA, USA; Mayer is with the Department of Geography, University of Washington, Seattle, WA, USA; Mayer is with the School of Medicine (Allergy and Infectious Diseases), University of Washington, Seattle, WA, USA; Mayer is with the Department of Epidemiology, University of Washington, Seattle, WA, USA; Almgren is with the School of Social Work, University of Washington, Seattle, WA, USA; Mayer and Almgren are with the Center for Studies in Demography and Ecology, University of Washington, Seattle, WA, USA; Mayer is with the Department of Family Medicine, University of Washington, Seattle, WA, USA.     

Trends in Smoking and Smoking Cessation During Pregnancy from 1985 to 2014, Racial and Ethnic Disparity Observed from Multiple National Surveys

Objective Current report assessed the trends in smoking prevalence and the percentage of smoking cessation during pregnancy among women from three major races/ethnicities. Methods Data were collected between 1999 and 2014 from the continuous National Health and Nutrition Examination Survey (NHANES). Smoking habits of women while pregnant with the child sampled by NHANES were assessed retrospectively. A total of 28,090 women who gave live birth between 1985 and 2014 were included. The prevalence ratios (PRs) of smoking and quitting smoking during pregnancy were calculated. The adjusted annual prevalence ratio (aaPR: the ratio associated with a 1-year increase in time) was estimated using logistic regression with the year of birth as a predictor. Results With child’s race/ethnicity, gender, and mother’s age controlled, the aaPR of smoking was 0.95 (95% confidence interval 0.92–0.97) for Hispanics, 0.96 (0.94–0.98) for whites, and 0.98 (0.94–1.00) for blacks. The aaPR of quitting smoking was 1.09 (1.02–1.16) for Hispanics, 1.01 (0.97–1.06) for whites, and 1.03 (0.95–1.12) for blacks. Compared with the counterparts aged 35 years or older, pregnant women younger than 20 years were more likely to smoke among whites [PR?1.56 (1.07–2.29)] but less likely among blacks [PR?0.37 (0.26–0.52)]. Conclusions for Practice Smoking prevalence has been declining continuously for all but at different rates among three major races/ethnicities. The risk profiles of smoking during pregnancy were race/ethnicity specific. Culturally appropriate programs should be developed to further reduce the maternal smoking during pregnancy.     

Factors Associated with Smoking Cessation Among U.S. Pregnant Women

Objectives: This study examines smoking and smoking cessation behaviors among U.S. pregnant women and seeks to identify the sociodemographic correlates of smoking cessation in pregnancy. Methods: The 1998 NHIS Pregnancy and Smoking supplement was analyzed, including 5288 U.S. women (weighted to represent 13,714,358 women) who gave birth to a live-born infant in the past 5 years. Four categories of smoking behavior were analyzed: nonsmoking at last pregnancy, persistent smoking throughout pregnancy, attempting unsuccessfully to quit during pregnancy, and successfully quitting during pregnancy. Logistic regression was used to isolate risk factors for each of the smoking behaviors and to examine factors associated with attempted and successful cessation. Results: The women most likely to attempt to quit smoking in pregnancy were Hispanic women (OR = 3.09) and women who have smoked for less than 10 years (OR = 2.75 for women aged 18–24.) In general, for the groups at highest risk of smoking at the start of pregnancy, the odds of being a persistent smoker were higher than the odds of being an unsuccessful quitter, which in turn were higher than the odds of quitting successfully. The factors associated with attempts to quit included Hispanic ethnicity, higher education, above-poverty income, and shorter duration of smoking, while the combined effect of age and smoking duration was the only one significantly associated with successful quitting. In every age group, longer smoking duration was associated with lower likelihood of attempting to quit as well as successful quitting. Conclusions: The factors most strongly associated with attempts to quit smoking were Hispanic ethnicity and the combined effect of age and smoking duration. Future smoking cessation and relapse prevention programs should be developed, taking into consideration the critical factors of age, ethnicity, income, geography, and addiction.     

Cigarette Taxes and Smoking During Pregnancy

OBJECTIVES: This study sought to estimate how changes in state cigarette excise taxes affect the smoking behavior of pregnant women. METHODS: Detailed information about mothers and their pregnancy was used to examine the impact of taxes on the propensity of pregnant women to smoke. The 1989 to 1995 Natality Detail Files were used in conducting analyses to assess the impact of taxes on smoking among different subpopulations. RESULTS: Higher cigarette excise taxes reduced smoking rates among pregnant women. A tax hike of $0.55 per pack would reduce maternal smoking by about 22%. Overall, a 10% increase in price would reduce smoking rates by 7%. Estimates for subpopulations suggested that nearly all would be very responsive to tax changes, including the subpopulations with the highest smoking rates. CONCLUSIONS: Smoking rates among pregnant women are responsive to tax hikes.     

Maternal Smoking During Pregnancy and Growth in Infancy: a Covariance Structure Analysis

Background

Smoking during pregnancy is related to fetal constraint and accelerated postnatal growth. However, the pathways between these factors have not been clarified. Pathway analyses that link these factors can help us better understand the mechanisms involved in this association. Therefore, this study aimed to examine pathways between maternal smoking during pregnancy and growth in infancy.

Methods

Participants were singletons born between 1993 and 2006 in rural Japan. The outcome was the change in weight z-score between birth and 3 years of age. Pathways from maternal smoking and other maternal factors (such as maternal body mass index and work status) to growth in infancy via birth factors (such as birth weight and gestational age) and breastfeeding were examined using structural equation modeling.

Results

Complete data were available for 1524 children (775 boys and 749 girls). The model fit appeared adequate. Lower birth weight and non-exclusive breastfeeding mediated the association between maternal smoking during pregnancy and rapid growth in infancy. Maternal smoking was also directly linked to rapid growth in infancy (standardized direct effects 0.06, P = 0.002). Taking all pathways into account, the standardized total effect of maternal smoking on growth in infancy was 0.11.

Conclusions

Maternal smoking during pregnancy may both indirectly, through birth weight and breastfeeding status, and directly influence growth during infancy; however, there may be other pathways that have not yet been identified.Key words: child development, maternal exposure, smoking     

The Impact of Quitting Smoking on Weight Among Women Prisoners Participating in a Smoking Cessation Intervention

Objectives. We examined the impact of smoking cessation on weight change in a population of women prisoners.Methods. Women prisoners (n = 360) enrolled in a smoking cessation intervention; 250 received a 10-week group intervention plus transdermal nicotine replacement.Results. Women who quit smoking had significant weight gain at 3- and 6-month follow-ups, with a net difference of 10 pounds between smokers and abstainers at 6 months. By the 12-month follow-up, weight gain decreased among abstainers.Conclusions. We are the first, to our knowledge, to demonstrate weight gain associated with smoking cessation among women prisoners. Smoking cessation interventions that address postcessation weight gain as a preventative measure may be beneficial in improving health and reducing the high prevalence of smoking in prisoner populations.Smoking and obesity are the 2 major causes of mortality and morbidity in the United States.^1,2 Although smoking is the leading preventable cause of death, resulting in approximately 440 000 deaths each year,³ obesity is a growing epidemic and is the second leading cause of preventable death, resulting in more than 300 000 deaths annually.^4,5 Whereas smoking rates have declined from their peak in the 1960s, obesity rates have been steadily climbing each year, and obesity is expected to soon eclipse smoking as the most preventable cause of mortality in the United States.¹The relationship between smoking and weight is complex, and the mechanisms by which smoking influences weight are not fully understood. Smoking affects weight by increasing metabolic rate and decreasing caloric absorption, which is thought to help suppress appetite.⁶ Sympathoadrenal activation by nicotine is thought to be primarily responsible for the metabolic effect of smoking.⁷ Smoking is also associated with increased energy expenditure.⁸ Smoking a single cigarette also decreases caloric consumption by 3% within 20 minutes.⁹Compared with light smokers and nonsmokers, heavy smokers tend to have greater body weight, which likely reflects a clustering of risk behaviors (i.e., little physical activity and poor diet) and increased insulin resistance and accumulation of abdominal fat.^6,10,11 Overall, smokers tend to be less physically active than nonsmokers, which may confound explanations of weight differences between smokers and nonsmokers.¹²Most studies on weight and smoking have reported postcessation weight gain. Smoking cessation has been associated with approximately 10 pounds of weight gain after 1 year of abstinence,¹³ suggesting that health benefits from smoking cessation may be mitigated to some degree by increased health risks associated with weight gain.¹⁴ To prevent or reduce weight gain, those administering cessation programs are recommended to integrate follow-up support for weight control, provide regular body weight measurement, provide recommendations for dietary change, and encourage increased physical activity.¹⁴ Despite concerns about weight, few studies have systematically investigated weight gain following smoking cessation, particularly with underserved populations such as prisoners.Correctional populations especially are vulnerable to the negative health consequences of smoking. Smoking rates are 3 to 4 times higher among correctional populations than among the general population, and smoking is normative within the correctional environment.^15–17 Smoking prevalence is 70% to 80% among male and female prisoners,^15–20 while almost half (46%) of adolescents in juvenile justice are daily smokers.²¹ This compared to about 21% of adults in the general population who are current smokers.²² However, in the research literature, the emphasis on smoking prevalence, prevention, cessation, and policies is much greater among other populations than it is among criminal justice populations—despite the human, health, and economic costs that occur in prison and in the community.^20,23In addition to the larger prevalence of smoking in prisons, there is less access to interventions for smoking cessation in correctional facilities. Lack of resources amplifies the negative health risks associated with smoking, such as heart, circulatory, and respiratory problems. Over the past 2 decades, correctional facilities in the United States have implemented tobacco-control policies ranging from restrictions on indoor smoking to complete tobacco bans.²⁴ Tobacco restrictions and bans have not succeeded in suppressing smoking, and reduced access to programs and materials that might increase long-term smoking cessation have paralleled them.^16,17,24,25We recently conducted a randomized controlled trial of smoking cessation with women prisoners and found 7-day point prevalence cessation rates comparable to those seen in community smoking cessation interventions.¹⁵ The intervention combined nicotine replacement with a 10-week group therapy intervention.²⁶ The community-tested intervention was modified for the prison environment and included a discussion of weight gain and weekly monitoring of weight during the intervention and follow-up assessments.¹⁵ Point prevalence quit rates for intervention participants were 18% at end of treatment, 17% at 3-month follow-up, 14% at 6-month follow-up, and 12% at 12-month follow-up, compared with less than 1% at these same time points for control participants.¹⁵ We examined differences in weight change over time for (1) women in the intervention condition compared with women in the control condition and (2) women in the intervention condition who quit smoking compared with those who continued to smoke. To our knowledge, ours is the first study to conduct such a trial among women prisoners.     

Nutritional Epidemiology of Antenatal Smoking Cessation Among Japanese Women

This study compared the nutritional status before pregnancy, as well as dietary profiles and biomarkers during first trimester, between never-smokers and antenatal quitters among Japanese women. One hundred fifty pregnant women (79 never-smokers and 71 antenatal quitters) from two obstetrics and gynecology clinics were recruited in Japan. Subjects' prepregnancy nutritional status was indicated by their body mass index (BMI). In the first trimester, their dietary profiles were assessed by the Brief Diet-History Questionnaire (BDHQ) and pregnancy outcomes were screened by biomarker tests. Generalized linear regression was used to examine the differences of energy-adjusted dietary intakes and biomarker results between the two smoking groups, with adjustment of maternal age, BMI, gestation week, and parity. The results showed that antenatal quitters were more likely to have a prepregnancy underweight status than never-smokers. During the first trimester, antenatal quitters had significantly higher intakes of unsaturated fatty acids and antioxidants (vegetable lipids and isoflavone), and lower intakes of total cholesterol than never-smokers. Moreover, antenatal quitters had a significantly higher level of serum homocysteine (6.36 nmol/mL vs 4.88 nmol/mL) than never-smokers. In conclusion, antenatal quitters are more likely to have a poor nutritional status before pregnancy than never-smokers. Quitting smoking before pregnancy and having a good nutritional profile during the trimester may not sufficiently reverse the adverse effects of former smoking behaviors on pregnancy outcomes.     

66例妊娠期间血小板减少患者的临床分析

目的探讨妊娠期间血小板减少的病因及临床处理方法。方法收集66例妊娠合并血小板减少患者的临床资料,分析妊娠期间血小板减少的病因及相关处理措施。结果 66例患者中,单纯妊娠引起的血小板减少47例(71.21%),妊娠期高血压疾病13例(19.70%),特发性血小板减少性紫癜4例(6.06%),肝功能异常1例(1.52%)及系统性红斑狼疮1例(1.52%)。12例血小板计数<50×10~9/L的患者中,7例为妊娠高血压综合征(58.33%),3例为特发性血小板减少性紫癜(25.00%)。剖宫产19例,阴道分娩47例,其中剖宫产者产前平均血小板值低于50×10~9/L,平均出血量300 m L,阴道分娩者平均血小板值高于60×10~9/L,平均出血量200 m L;未见新生儿血小板减少或死亡发生。结论妊娠期间血小板减少是由多种内科合并症及妊娠并发症引起的围产期疾病,应根据病因进行个体化治疗,分娩方式应根据血小板及母儿情况而定。     

Telephone Smoking Cessation Quitline Use Among Pregnant and Non-pregnant Women

To describe characteristics, referrals, service utilization, and self-reported quit rates among pregnant and non-pregnant women enrolled in a smoking cessation quitline. This information can be used to improve strategies to increase pregnant and non-pregnant smokers’ use of quitlines. We examined tobacco use characteristics, referral sources, and use of services among 1,718 pregnant and 24,321 non-pregnant women aged 18–44 years enrolled in quitline services in 10 states during 2006–2008. We examined self-reported 30-day quit rates 7 months after enrollment among 246 pregnant and 4,123 non-pregnant women and, within groups, used Chi-square tests to compare quit rates by type of service received. The majority of pregnant and non-pregnant callers, respectively, smoked ≥10 cigarettes per day (62 %; 83 %), had recently attempted to quit (55 %; 58 %), smoked 5 or minutes after waking (59 %; 55 %), and lived with a smoker (63 %; 48 %). Of callers, 24.3 % of pregnant and 36.4 % of non-pregnant women were uninsured. Pregnant callers heard about the quitline most often from a health care provider (50 %) and non-pregnant callers most often through mass media (59 %). Over half of pregnant (52 %) and non-pregnant (57 %) women received self-help materials only, the remainder received counseling. Self-reported quit rates at 7 months after enrollment in the subsample were 26.4 % for pregnant women and 22.6 % for non-pregnant women. Quitlines provide needed services for pregnant and non-pregnant smokers, many of whom are uninsured. Smokers should be encouraged to access counseling services.     

Smoking Cessation and Pregnancy: Timing of Cessation Reduces or Eliminates the Effect on Low Birth Weight

Maternal and Child Health Journal - Women who smoke cigarettes while pregnant are at elevated risk of having low birth weight infants (LBW,?&lt;?2500&nbsp;g) which increases...     

天津市居民吸烟及戒烟状况调查分析

目的：了解天津市居民吸烟状况、戒烟想法及戒烟方法的应用,为有针对性地在居民中开展健康教育活动提供依据,同时为制定相关控烟政策提供基础数据。方法使用 PPS 法(按规模大小成比例的概率抽样)在每个区抽取3个街道,共计16个区。使用 PPS 在每个街道抽取2个居委会抽样单位,采用随机抽样方法在每个居委会抽取70个家庭户,每个家庭户采用 KISH 表抽取1名调查对象,每个居委会完成50份调查问卷。结果男性现在吸烟率为42.35%,女性现在吸烟率为10.32%,男性吸烟率高于女性(χ2=760.956,P <0.05),不同文化程度居民吸烟率差异有统计学意义(χ2=95.605,P <0.05)。男性与女性现在吸烟者戒烟意愿差异无统计学意义(χ2=2.959,P >0.05),不同吸烟量的现在吸烟者戒烟意愿差异有统计学意义(χ2=30.434,P <0.05),随着吸烟者吸烟量的增大,想戒烟的比例也在逐渐降低。89.18%现在吸烟者选择靠自己毅力戒烟,7.06%选择拨打戒烟热线。在过去12个月,有42.25%医护人员建议吸烟者戒烟。非吸烟者对主动吸烟及吸入二手烟的危害知晓率高于吸烟者,有戒烟想法的人主动吸烟及吸入二手烟的危害知晓率高于吸烟者。结论应积极开展控烟工作,有针对性地对男性、女性吸烟者开展控烟干预工作,加大戒烟门诊、戒烟热线的宣传,提高医务人员的戒烟知识和戒烟技巧,广泛宣传主动吸烟与被动吸烟的危害,同时政府部门加强控烟法律执行力度,保证人民群众不受二手烟的危害。