Next Article in Journal
Ethiopian Health Care Workers’ Insights into and Responses to Intimate Partner Violence in Pregnancy—A Qualitative Study
Next Article in Special Issue
Intensive Behavioural and Pharmacological Treatment for Tobacco Dependence in Pregnant Women with Complex Psychosocial Challenges: A Case Report
Previous Article in Journal
Initial Therapy, Regimen Change, and Persistence in a Spanish Cohort of Newly Treated Type 2 Diabetes Patients: A Retrospective, Observational Study Using Real-World Data
Previous Article in Special Issue
Parental Perceptions of Children’s Exposure to Tobacco Smoke and Parental Smoking Behaviour
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Inadequate Knowledge, Attitude and Practices about Second-Hand Smoke among Non-Smoking Pregnant Women in Urban Vietnam: The Need for Health Literacy Reinforcement

1
Department of Internal Medicine, Hanoi Medical University, Hanoi 100000, Vietnam
2
Respiratory Center, Bach Mai Hospital, Hanoi 100000, Vietnam
3
Institute for Global Health Innovations, Duy Tan University, Da Nang 550000, Vietnam
4
Faculty of Pharmacy, Duy Tan University, Da Nang 550000, Vietnam
5
Duke University School of Medicine, Duke University, Durham, NC 27710, USA
6
Faculty of Nursing, Duy Tan University, Da Nang 550000, Vietnam
7
Center of Excellence in Behavioral Medicine, Nguyen Tat Thanh University, Ho Chi Minh City 700000, Vietnam
8
Center of Excellence in Evidence-Based Medicine, Nguyen Tat Thanh University, Ho Chi Minh City 700000, Vietnam
9
Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA
10
Institute for Preventive Medicine and Public Health, Hanoi Medical University, Hanoi 100000, Vietnam
11
Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore
12
Institute for Health Innovation and Technology (iHealthtech), National University of Singapore, Singapore 119077, Singapore
13
Department of Psychological Medicine, National University Hospital, Singapore 119074, Singapore
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2020, 17(10), 3744; https://doi.org/10.3390/ijerph17103744
Submission received: 1 April 2020 / Revised: 18 May 2020 / Accepted: 19 May 2020 / Published: 25 May 2020

Abstract

:
The rate of exposure to second-hand smoke (SHS) is relatively high in several countries, including Vietnam, and health issues related to SHS have worsened in recent years, especially for pregnant women and their infants. Enhancement of knowledge, attitude, and practice (KAP) scores of pregnant women in Vietnam could raise practical interventions to protect their health and reduce complications of SHS. A cross-sectional study of 432 pregnant women who came to the Obstetrics Department of Bach Mai Hospital, Hanoi, Vietnam for antenatal care was conducted in 2016 to collect information about their KAP related to SHS. Composite mean scores from survey questions assessing their KAP were calculated on a 10-point scale, finding mean scores of 4.19, 7.45, and 4.30, respectively. Higher scores indicated better knowledge, attitude, and practice. Generalized linear models identified that age, occupation, living place, and sources of information were associated with SHS-related KAP. Findings from this study indicate that suitable programs related to SHS should be implemented to improve and reinforce health literacy to both mothers and smokers to reduce the harmfulness of smoking on women and their infants’ health.

1. Introduction

Second-hand smoke (SHS) is well-recognized as a public health concern, especially for vulnerable populations such as pregnant women. According to a WHO report in 2009, about 35% of pregnant women were affected by SHS globally [1]. The global population has sustained SHS exposure at high rates as well; according to a study collecting data from 192 countries, estimated rates of children, male non-smokers, and female non-smokers who were exposed to SHS were 40%, 33%, and 35%, respectively [2]. The rate of sustained SHS exposure has decreased in some countries including the USA [3], Japan [4], Korea [5], and Scotland [6], due to increased smoking regulations. However, in other countries, this rate has remained high, for example at 57.1% in Germany [7] and nearly 50% in Bangladesh [8]. Among pregnant women, this prevalence appears to be increasing over time, as demonstrated in a meta-analysis in 2014 which illustrated an even higher prevalence of pregnant women exposed to tobacco smoke (from more than 50% to 85%, depending on country) [9]. SHS exposure during pregnancy causes severe health problems for mothers, including depressive symptoms, cardiovascular diseases, hypertension together with concerned respiratory issues (e.g., asthma, chronic bronchitis, emphysema) [2,10,11,12,13], pregnancy complications including spontaneous abortion, placental abruption, and low birth weight [14,15,16,17], and even longer-term consequences on the infant, including heightened risk of sudden infant death syndrome [18]. Given the high rates of SHS exposure globally, understanding current perceptions of SHS is crucial in order to design appropriate interventions to address this public health issue.
Globally, improving knowledge, attitude, and practice (KAP) is considered an effective solution to reducing exposure to SHS [19,20]. Prior studies in other middle-income countries, such as China [21,22] and Argentina, [23] have indicated significantly low KAP among pregnant women. In particular, low KAP scores were observed among individuals with younger age, low education, and some socioeconomic factors [24,25,26], though these factors varied across study settings, indicating the need for region-specific evidence to develop contextualized interventions [9].
In Vietnam, there have been increasing efforts to regulate smoking in recent years, including a 2005 law that prohibited smoking in certain public places. Per the 2015 Global Adult Tobacco Survey (GATS), the rate of adult tobacco use in Vietnam is 22.5% among the general population, a high percentage despite decreases in recent years [27]. A study in 2010 found that general knowledge of the risks of SHS among the Vietnamese population was 83%, though knowledge of specific diseases related to tobacco smoking was lower at 51.5% [28]. Yet, despite this progress, the rates of SHS exposure among Vietnamese pregnant women have not demonstrated strong improvement. Previous studies have shown that rates of SHS exposure among pregnant Vietnamese women have remained high, with similar patterns occurring in other low- and middle-income countries [29,30,31]. According to a recent study in 2019, the rate of pregnant Vietnamese women who endured SHS exposure in their lifetime was 92.6%, and during the last 30 days of pregnancy, the rate was 64.5% [32], relatively high. However, data on KAP regarding SHS in this population are lacking. This study explores the KAP of pregnant women who are in vulnerable populations and examines the factors that influence their KAP towards SHS exposure during pregnancy.
Even though existing studies have focused on the health burden from SHS globally [2,33,34] and among the Vietnamese population [28,35,36], there are not many studies on KAP of women about SHS exposure during their pregnancy, which is a sensitive period. Therefore, this study makes a major contribution to research on KAP regarding SHS among high-risk pregnant women, and explores applicable policy and implementation on smoking law.

2. Materials and Methods

2.1. Study Designs

During 2 months in 2016 (July and August), a cross-sectional study was conducted among 432 pregnant women who came to the Obstetrics Department of Bach Mai Hospital, Hanoi—one of the largest hospitals in Vietnam. The Obstetrics Department has about 6700 pregnant women who come for antenatal care per year. In this study, we used convenience sampling to recruit pregnant women. Inclusion criteria included: (1) they were at least 18 years old; (2) they were able to answer the interview; and (3) they declared their agreement through written informed consent. This study was a sub-analysis of data collected as part of a study examining the prevalence and sources of SHS exposure among pregnant women in Vietnam [32].

2.2. Measurements

Thirteen medical students and nurses of the Respiratory Center of Bach Mai Hospital collected the data from the pregnant women, after receiving a 20 h training workshop. Data regarding pregnancy status was collected through the regular booking system for all women requesting an appointment to the Obstetrics Department. Data collectors approached pregnant women, who were identified by the booking system as pregnant, and reviewed their eligibility and consent. In order to assure their confidentiality and comfort, they were invited into a private room. All participants were introduced to the purposes of the study and advised about their rights to withdraw at any time without any influence on their current care. Data collectors interviewed participants to compile information about their demographics (e.g., age, educational level, occupation, and living place) and pregnancy (e.g., gestation week), as well as sources of information about SHS through a questionnaire. Through literature review and expert consultations, we synthesize these following questions to measure knowledge, attitude, and practices of participants. The full survey is available in Table A1 of Appendix A.

2.2.1. Knowledge

Pregnant women were asked to answer the following questions to evaluate their knowledge: What is the definition of SHS? What are the health effects of SHS on pregnant women? What are the health effects of SHS on infants/fetuses? What kinds of facilities completely prohibit smoking indoors and outdoors according to the law? What kinds of facilities completely prohibit smoking indoors according to the law? Participants were given one point for each question they were able to answer correctly; for answers with multiple responses, they were given one point if they were able to select all correct responses. The total knowledge score ranged from 0 to 5; a higher score demonstrated a higher level of knowledge. Cronbach’s alpha scores were 0.843 and 0.72 for the questions about health effect and compliance, respectively.

2.2.2. Attitude

Participants were asked to express their opinions about smoking at home/workplace/public areas (should be/not be banned). If they answered that smoking should not be allowed at home/workplace/public areas, they earned 1 point per place. The total attitude score was from 0 to 3, in which a higher score indicated a more negative attitude toward SHS. Cronbach’s alpha score was 0.51.

2.2.3. Practices

Regarding practices, we asked pregnant women to report whether they reminded smokers about the smoke-free law at home/workplace/public areas. Each question was scored from 0 to 4, representing never to always. We also asked them to report whether they had taken action to prevent smoking behavior at these places. If they did, they gained one point for each question. The total practice score was from 0 to 15 with higher scores demonstrating higher levels of practice. Cronbach’s alpha score was 0.75.

2.3. Statistical Analysis

Stata software (STATA 14.0, College Station, TX, USA) was applied to analyze collected data. Statistical significance was detected if a p-value was less than 0.05. The total knowledge, attitude, and practice scores were transformed to a 10-point scale for better interpretation. Generalized linear models using the Gaussian family and identity link were employed to identify factors associated with knowledge, attitude, and practice scores. The potential associated factors included socio-demographic characteristics and sources of information. The forward stepwise selection was applied to formulate the reduced model that only contained independent variables having a log-likelihood ratio test p-value less than 0.2.

2.4. Ethical Approval

The Vietnam Respiratory Society Scientific and Ethics Committee has previewed and approved the study protocol (10-QD/VNRS).

3. Results

Demographic characteristics of participated women are summarized in Table 1. In brief, among 432 pregnant women, 46.3% of them were aged 26–30 years old. The majority of women had above high school educational level (79.6%) and were currently employed (60.7%). Most participants were living in urban areas (86.1%). The rate of pregnant women at 30–37 gestation weeks and <30 gestation weeks were 46.3% and 37.7%, respectively [32]. In addition, data on the main sources of information about SHS for pregnant women indicated that television was the primary source, following by news/magazines, and the internet; leaflets were the least common ones.
Knowledge about SHS is shown in Table 2. Most of the respondents correctly defined SHS (62.0%) and identified facilities where smoking is completely prohibited indoors and outdoors according to the law. The majority of women answered correctly that SHS could cause pulmonary diseases (92.1%), lung cancer (80.8%), and miscarriage/complications (74.8%). Moreover, they correctly answered that exposure to SHS could cause miscarriage/stillbirth (76.4%) and preterm birth/low birth weight (76.9%). The mean knowledge score was 4.19/10 (SD = 2.12).
Regarding attitude toward SHS, the mean attitude score was 7.45/10 (SD = 3.05). The majority of them recommended that smoking should be banned at home (85.7%), workplace (70.4%), and in public areas (67.6%) (Table 3).
As shown in Table 4, women more frequently reminded smokers at home to stop smoking, compared to other places such as workplaces and public areas. Likewise, the proportion of individuals who took action to stop smoking at home was 99.3%, which was much higher than that in the workplace (49.3%) and public areas (21.1%). The mean score for practices was 4.30/10 (SD = 2.39).
Table 5 depicts the factors associated with knowledge, attitude, and practice scores regarding SHS among pregnant women. People aged 31–35 (coef. = 0.51; 95% CI = 0.02–0.99), employed (coef. = 0.66; 95% CI = 0.22–1.11), and who receive information from the news/magazines about SHS (coef. = 0.65; 95% CI = 0.22–1.08) had significantly higher knowledge scores than those aged 18–25, self-employed, and who do not receive information regarding SHS from the news/magazines, respectively. Meanwhile, increasing gestation week was correlated with lower knowledge score (coef. = −0.02; 95% CI = −0.03; −0.00).
Regarding attitude, living in rural areas (coef. = 0.99; 95% CI = 0.24–1.74) and using the internet (coef. = 0.68; 95% CI = 0.01–1.36) and loudspeaker (coef. = 1.17; 95% CI = 0.05–2.28) as sources of information significantly increased the attitude score. Meanwhile, being unemployed/housewife (coef. = −1.08; 95% CI = −1.76–−0.39), living in rural area (coef. = −0.60; 95% CI = −1.16–−0.04) and hearing about SHS from advertisements (coef. = −1.26; 95% CI = −2.39–−0.13) was associated with a lower practice score. Higher knowledge score was correlated with higher practice score (coef. = 0.13; 95% CI = 0.03–0.24).

4. Discussion

This study provides greater insight on KAP regarding SHS among high-risk pregnant women. Our findings reveal the low degree of knowledge (mean score 4.19/10, SD = 2.12) and practice (mean score 4.30/10, SD = 2.39) with a moderately high attitude (7.45/10, SD = 3.05) toward SHS among this population. Moreover, results of multivariate models suggested that age, occupation, living place, and sources of information were associated with SHS-related KAP, highlighting populations that should be given special attention in further interventions.
Despite good knowledge about general SHS-related consequences (e.g., pulmonary lung diseases, preterm birth, or miscarriage) among our sample, we still found major gaps in knowledge. Only a small percentage of pregnant women were aware of SHS’s harms regarding peptic ulcers, sexual dysfunction, risk of cardiovascular diseases, or various cancers. Similarly, the proportion of women with knowledge of the long-term negative effects of perinatal SHS exposure on infants was not high, especially regarding sudden infant death syndrome and infant mortality. Our results were comparable to previous studies in other developing countries [37,38] but lower than those in developed nations [39]. This knowledge deficiency highlights the need for further interventions to increase awareness of these lesser-known complications among this population [37,40,41,42].
Likewise, practices to prevent SHS by pregnant women were minimally observed, even though the majority felt annoyed when others smoked. Per our results, practices against SHS at home were the highest, followed by workplace with lowest rates in public areas. One possible explanation is that pregnant women might believe that the nearer the smoker is, the greater the health hazard during pregnancy. However, the distance between smokers and pregnant women was not the only important factor affecting pregnant women’s health [43]. Another explanation could be that women may feel more comfortable taking action in their own home and other familiar places, as opposed to public areas where they may not know the smoker. This result aligns with a previous study in Vietnam that found that only 69.8% of the population supported the ban on smoking in public places [44]. The law No. 09/2012/QH13 of Vietnam mandated the regulations of “no smoking in public places” and “no smoking at workplaces” and intended regulation of “increasing the tobacco tax” [45]. Furthermore, it has been shown that prohibiting smoking in public places has been largely ineffective in changing behaviors of frequent smokers because of its intangibility, or even, perhaps, lack of awareness of the law [46,47]. Though there have been designated smoke-free areas in Vietnam since 2005, data up to 2010 shows that smoking in public places still occurred quite commonly; (22.3%, 23.6%, 34.4%, 38.7%, 54.3%, 84.9%, and 92.6% were the rates of schools, healthcare facilities, public transport, government buildings, universities, restaurants, and bars/cafes/tea shops, respectively), and 71.3% of adults were victims of SHS [48]. As such, this data suggests the need for stricter enforcement of smoke-free areas—both by local authorities and by the general public. Our data suggests that familiarity increases the likelihood of pregnant women taking action to maintain smoke-free spaces—with women most uncomfortable taking action in public areas among strangers. This hesitancy could be mitigated through increased enforcement of smoke-free areas, as well as empowerment of the general public to take action alongside pregnant women to prevent smoking in those areas. Indeed, while pregnant women have the right to smoke-free spaces, it is not their sole responsibility to enforce regulations provided by the law.
Our data also demonstrates that practices against SHS are low among rural populations and the unemployed/housewives. This finding aligns with previous studies which have shown that rural populations support smoking as a traditional, popular behavior, as well as a leisure activity [49,50]. Moreover, low educational level and lack of information on health-related hazards due to smoking were also associated with less practical activities to personally quit smoking or prevent others from smoking [51,52,53,54]. These results also suggest that women at an earlier gestation period had less knowledge about the harms from SHS, highlighting the need to educate pregnant women earlier during their pregnancy. Recommendations from doctors in healthcare facilities and other information channels about the harmfulness of SHS to pregnant women and infants could be helpful to reduce exposure to SHS [55]. Other preconceptual and prenatal programs/workshops for women of reproductive age should be implemented more frequently to further educate regarding healthy behaviors [56]. Per our data, effective channels to disseminate information on SHS could be internet and community. Both of these channels have a wide range of influence in the community and as such, can be effective tools to spread health literacy on SHS [57,58,59].
As demonstrated in this study, interventions focusing on specific vulnerable populations such as pregnant women are needed. Firstly, we should make use of effective channels, such as internet and loudspeakers, to enhance the knowledge of pregnant women about the harmfulness of SHS. Secondly, educational programs about smoking and its hazards could be implemented to provide awareness and necessary actions to stop others smoking. These programs might be designed for specific groups. For example, education and smoking prevention programs have been implemented at school level and proven effective through the decrease of smoking prevalence among pupils and school staff [60,61]. Similarly, family-based programs could be effective for couples who plan to have babies or already have small children. Besides these, online education that supports smokers to discontinue smoking, and a smartphone mobile application, might help control/lessen the frequency of smokers, which could be helpful within the development of technology [62,63]. Thirdly, smoking regulations in Vietnam have not been sufficiently effective to reduce smoking. There should be a greater emphasis on raising awareness and enforcement to ensure that the regulations produce the intended results. Public health interventions should empower not only pregnant women, but also the general population, to take shared responsibility in enforcing smoke-free spaces and protect vulnerable populations.
This study has several limitations. Firstly, due to this study’s cross-sectional nature, we are unable to determine any causal relationships between independent and dependent variables. Secondly, the results may also not be generalisable to all pregnant women, because this is a sample of pregnant women attending a single hospital in Vietnam. Thirdly, this study focused only on KAP of pregnant women regarding SHS. Without a control group, such as non-pregnant women of reproductive age, we are limited in our ability to understand specifically the role of pregnancy in KAP regarding smoking among the pregnant women in our study. Although Cronbach’s alpha scores for knowledge and practices were high, the questionnaire has not been validated about its reliability yet, because the Cronbach’s alpha score for the attitudes was low, suggesting that the questions on attitudes are not reliable enough. Finally, a cross-sectional study might lead to risk of recall-bias, where they could not remember exactly their attitude and/or practices over two months. Nonetheless, well-trained interviewers helped us minimize the bias.

5. Conclusions

In conclusion, our data indicated inadequate KAP of pregnant women in Vietnam about SHS and its health-related hazards. Suitable programs related to SHS should be implemented to improve and reinforce health literacy and practical reactions to smokers, to reduce the harmfulness of smoking to women and their infants’ health. The policymakers should enforce the smoke-free law to protect pregnant women and the general population from SHS.

Author Contributions

Conceptualization: G.V.V., C.Q.N., P.T.P., and B.X.T.; data curation: L.P.T.D., T.T.N., D.N.N., H.L.T.N., C.L.H., and L.G.V.; formal analysis: G.V.V., P.T.P., L.P.T.D., N.T.T.N., C.L.H., and L.G.V.; funding acquisition: R.C.M.H.; investigation: C.Q.N., D.N.N., N.T.T.N., and R.C.M.H.; methodology: L.P.T.D., T.T.N., M.H.N., C.A.L., B.X.T., and C.S.H.H.; project administration: G.V.V., C.Q.N., P.T.P., and B.X.T.; resources: G.V.V., C.Q.N., and L.P.T.D.; software: M.H.N., H.L.T.N., and L.G.V.; supervision: G.V.V., P.T.P., T.T.N., and M.H.N.; validation: C.A.L., B.X.T., and C.S.H.H.; visualization: H.L.T.N. and C.L.H.; writing—original draft: D.N.N. and N.T.T.N.; writing—review and editing: G.V.V., C.A.L., R.C.M.H., and C.S.H.H. All authors have read and agreed to the published version of the manuscript.

Funding

The article processing charge is funded by the National University of Singapore iHealthtech Other Operating Expense (R-722-000-004-731).

Acknowledgments

We would like to thank all participants at the Respiratory Center of Bach Mai Hospital and all medical students and staff at Bach Mai Hospital for supporting us to perform this study.

Conflicts of Interest

The authors declare no conflicts of interest.

Appendix A

Table A1. Questionnaire to pregnant women.
Table A1. Questionnaire to pregnant women.
No.QuestionParticipant’s Choice/Answer
I. General information
A1.Please inform your age (until the time data is collected)…… (years old)
A2.Please choose your highest education attainment1. Did not go to school
2. Primary
3. Secondary
4. High-school
5. College/university
6. Above university
A3.Please choose your current occupation1. Farmer
2. Handicraft
3. Business
4. Lecturer/teacher
5. White-collar
6. Self-employed
A4.Please choose your current living area1. Urban
2. Rural
A5.Please inform your gestation week1. ……. (weeks)
2. Already born
A6.Have you ever heard about second-hand smoke (SHS)?1. Yes
2. No
A7.Please choose your source of information in case you have heard about SHS (multiple choice)1. News or magazines
2. Television
3. Radio
4. Advertisement
5. Internet
6. Loudspeaker
7. Posters/banners
8. Leaflets
9. Others (specify):………………………
II. KAP of SHS
B1What is the definition of SHS?1. SHS is the contact with the smoke from the cigarette
2. SHS is the contact with the air around the one who smokes
3. SHS is the combination of 1. and 2.
97. No opinion about SHS
98. Other (specify):………………….…
99. Don’t want to answer
B2Please select all answers that you think are correct for the question “What are the health effects of SHS on pregnant women?” (multiple choice)1. Cardiovascular diseases
2. Pulmonary diseases
3. Lung cancer
4. Other cancers
5. Low-birth weight infants
6. Miscarriage, complications
7. High blood pressure
8. Sexual dysfunction
9. Peptic ulcer
97. Don’t know
98. Other (specify): …………………….
99. Don’t want to answer
B3Please select all answers that you think are correct for the question “What are the health effects of SHS on infants?” (multiple choice)1. Miscarriage, stillbirth
2. Preterm birth, low birth weight
3. Infant mortality
4. Sudden infant death syndrome
97. Don’t know
98. Other (specify): ……………………
99. Don’t want to answer
B4Please select all answers that you think are correct for the question “What are the facilities which prohibit completely smoking indoors and outdoors according to the law?” (multiple choice)1. Health care facilities
2. Education facilities
3. Childcare facilities
4. Facilities with high fire risk
97. Don’t know
99. Don’t want to answer
B5Please select all answers that you think are correct for the question “What are the facilities which prohibit completely smoking indoors according to the law?” Law No. 09/2012/QH13) (multiple choice)1. Workplace
2. Schools
3. Public areas
4. Public transportation (bus, fly, train)
97. Don’t know
99. Don’t want to answer
B6Do you think that smoking at home should be allowed?1. Allowed
2. Not allowed but acceptable
3. Not allowed
4. There is no regulation about this in the law
97. Don’t know
99. Don’t want to answer
B7Do you think that smoking at workplace should be allowed?1. Allowed
2. Not allowed but acceptable
3. Not allowed
4. There is no regulation about this in the law
97. Don’t know
99. Don’t want to answer
B8Do you think that smoking in public areas should be allowed?1. Allowed
2. Not allowed but acceptable
3. Not allowed
4. There is no regulation about this in the law
97. Don’t know
99. Don’t want to answer
B9How frequently do you remind smokers at home?1. Always
2. Usually
3. Sometimes
4. Rarely
5. Never
B10What do you do to stop smoking behavior at home?1. Assertive attitude
2. Call support of people around
3. Require smokers going to separated room
4. Do nothing
98. Other (specify):……………………..
B11How frequently do you remind smokers at workplace?1. Always
2. Usually
3. Sometimes
4. Rarely
5. Never
B12What do you do to stop smoking behavior at workplace?1. Assertive attitude
2. Call support of people around
3. Require smokers going to separated room
4. Report to security/authority
5. Do nothing
98. Other (specify):………………………
B13How frequently do you remind smokers at public areas?1. Always
2. Usually
3. Sometimes
4. Rarely
5. Never
B14What do you do to stop smoking behavior at public areas?1. Assertive attitude
2. Call support of people around
3. Require smokers going to separated room
4. Report to security/authority
5. Do nothing
98. Other (specify):……………………..

References

  1. World Health Organization. WHO Report on the Global Tobacco Epidemic 2009: Implementing Smoke-Free Environments; WHO: Geneva, Switzerland, 2009. [Google Scholar]
  2. Oberg, M.; Jaakkola, M.S.; Woodward, A.; Peruga, A.; Pruss-Ustun, A. Worldwide burden of disease from exposure to second-hand smoke: A retrospective analysis of data from 192 countries. Lancet 2011, 377, 139–146. [Google Scholar] [CrossRef]
  3. Agaku, I.T.; Vardavas, C.I. Disparities and trends in indoor exposure to secondhand smoke among U.S. adolescents: 2000–2009. PLoS ONE 2013, 8, e83058. [Google Scholar] [CrossRef] [PubMed]
  4. Tabuchi, T.; Colwell, B. Disparity and Trends in Secondhand Smoke Exposure among Japanese Employees, Particularly Smokers vs. Non-Smokers. PLoS ONE 2016, 11, e0152096. [Google Scholar] [CrossRef] [PubMed]
  5. Choi, S.; Kim, Y.; Park, S.; Lee, J.; Oh, K. Trends in cigarette smoking among adolescents and adults in South Korea. Epidemiol Health 2014, 36, e2014023. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  6. Haw, S.J.; Gruer, L. Changes in exposure of adult non-smokers to secondhand smoke after implementation of smoke-free legislation in Scotland: National cross sectional survey. BMJ 2007, 335, 549. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  7. Ulbricht, S.; Unger, F.; Gross, S.; Nauck, M.; Meyer, C.; John, U. Factors associated with secondhand smoke exposure prevalence and secondhand smoke level of children living with parental smokers: A cross sectional study. J. Community Health 2015, 40, 501–507. [Google Scholar] [CrossRef]
  8. Abdullah, A.S.; Driezen, P.; Sansone, G.; Nargis, N.; Hussain, G.A.; Quah, A.C.; Fong, G.T. Correlates of exposure to secondhand smoke (SHS) at home among non-smoking adults in Bangladesh: Findings from the ITC Bangladesh survey. BMC Pulm. Med. 2014, 14, 117. [Google Scholar] [CrossRef]
  9. Wang, M.; Wang, Z.P.; Zhang, M.; Zhao, Z.T. Maternal passive smoking during pregnancy and neural tube defects in offspring: A meta-analysis. Arch. Gynecol. Obstet. 2014, 289, 513–521. [Google Scholar] [CrossRef]
  10. Ejaz, S.; Afzal, M.; Hussain, M.; Sarwar, H.; Gilani, S.A. Knowledge, Attitude and Practice Regarding Modifiable Risk Factors of Cardiovascular Diseases among Adults in Rural Community, Lahore. Int. J. Soc. Sci. Manag. 2018, 5, 76–82. [Google Scholar] [CrossRef] [Green Version]
  11. Haq, I.U.; Liu, Y.; Liu, M.; Xu, H.; Wang, H.; Liu, C.; Zeb, F.; Jiang, P.; Wu, X.; Tian, Y.; et al. Association of Smoking-Related Knowledge, Attitude, and Practices (KAP) with Nutritional Status and Diet Quality: A Cross-Sectional Study in China. Biomed. Res. Int. 2019, 2019, 5897478. [Google Scholar] [CrossRef] [Green Version]
  12. Kawasaki, Y.; Miyake, Y.; Tanaka, K.; Furukawa, S.; Arakawa, M. Smoking and secondhand smoke exposure and prevalence of depressive symptoms during pregnancy in Japan: Baseline data from the Kyushu Okinawa Maternal and Child Health Study. Tob. Induc. Dis. 2017, 15, 34. [Google Scholar] [CrossRef] [PubMed]
  13. Vozoris, N.; Lougheed, M.D. Second-hand smoke exposure in Canada: Prevalence, risk factors, and association with respiratory and cardiovascular diseases. Can. Respir. J. 2008, 15, 263–269. [Google Scholar] [CrossRef] [PubMed]
  14. Varner, M.W.; Silver, R.M.; Rowland Hogue, C.J.; Willinger, M.; Parker, C.B.; Thorsten, V.R.; Goldenberg, R.L.; Saade, G.R.; Dudley, D.J.; Coustan, D.; et al. Association between stillbirth and illicit drug use and smoking during pregnancy. Obstet. Gynecol. 2014, 123, 113–125. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. Wahabi, H.A.; Alzeidan, R.A.; Fayed, A.A.; Mandil, A.; Al-Shaikh, G.; Esmaeil, S.A. Effects of secondhand smoke on the birth weight of term infants and the demographic profile of Saudi exposed women. BMC Public Health 2013, 13, 341. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  16. Vivilaki, V.G.; Diamanti, A.; Tzeli, M.; Patelarou, E.; Bick, D.; Papadakis, S.; Lykeridou, K.; Katsaounou, P. Exposure to active and passive smoking among Greek pregnant women. Tob. Induc. Dis. 2016, 14, 12. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  17. Caleyachetty, R.; Tait, C.A.; Kengne, A.P.; Corvalan, C.; Uauy, R.; Echouffo-Tcheugui, J.B. Tobacco use in pregnant women: Analysis of data from Demographic and Health Surveys from 54 low-income and middle-income countries. Lancet Glob. Health 2014, 2, e513–e520. [Google Scholar] [CrossRef] [Green Version]
  18. Schoendorf, K.C.; Kiely, J.L. Relationship of sudden infant death syndrome to maternal smoking during and after pregnancy. Pediatrics 1992, 90, 905–908. [Google Scholar]
  19. Miller-Thomas, T.; Leoutsakos, J.M.; Terplan, M.; Brigham, E.P.; Chisolm, M.S. Comparison of cigarette smoking knowledge, attitudes, and practices among staff in perinatal and other substance abuse treatment settings. J. Addict. Med. 2014, 8, 377–383. [Google Scholar] [CrossRef] [Green Version]
  20. Al-Jdani, S.; Mashabi, S.; Alsaywid, B.; Zahrani, A. Smoking cessation counseling: Knowledge, attitude and practices of primary healthcare providers at National Guard Primary Healthcare Centers, Western Region, Saudi Arabia. J. Fam. Community Med. 2018, 25, 175–182. [Google Scholar] [CrossRef]
  21. Zhang, L.; Hsia, J.; Tu, X.; Xia, Y.; Zhang, L.; Bi, Z.; Liu, H.; Li, X.; Stanton, B. Exposure to secondhand tobacco smoke and interventions among pregnant women in China: A systematic review. Prev. Chronic. Dis. 2015, 12, E35. [Google Scholar] [CrossRef] [Green Version]
  22. Sun, X.; Gao, S.; Liu, A. Analysis on status of passive smoking among pregnant women and their KAP about it during pregnancy. Matern. Child Health Care China 2010, 25, 2707–2709. [Google Scholar]
  23. Mejia, R.; Martinez, V.G.; Gregorich, S.E.; Perez-Stable, E.J. Physician counseling of pregnant women about active and secondhand smoking in Argentina. Acta Obstet. Gynecol. Scand. 2010, 89, 490–495. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  24. Awawdi, K.; Steiner, H.; Green, M.S.; Zelber-Sagi, S. Association between second-hand smoking and acute coronary heart disease among Arab women with multiple risk factors. Eur. J. Public Health 2016, 26, 141–145. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  25. Alwan, A. Global Status Report on Noncommunicable Diseases 2010; World Health Organization: Geneva, Switzerland, 2011. [Google Scholar]
  26. Paul, K.H.; Graham, M.L.; Olson, C.M. The web of risk factors for excessive gestational weight gain in low income women. Matern. Child Health J. 2013, 17, 344–351. [Google Scholar] [CrossRef] [Green Version]
  27. Van Minh, H.; Giang, K.B.; Ngoc, N.B.; Hai, P.T.; Huyen, D.T.; Khue, L.N.; Lam, N.T.; Nga, P.T.; Quan, N.T.; Xuyen, N.T. Prevalence of tobacco smoking in Vietnam: Findings from the Global Adult Tobacco Survey 2015. Int. J. Public Health 2017, 62, 121–129. [Google Scholar] [CrossRef]
  28. Minh An, D.T.; Van Minh, H.; Huong le, T.; Giang, K.B.; Xuan le, T.T.; Hai, P.T.; Quynh Nga, P.; Hsia, J. Knowledge of the health consequences of tobacco smoking: A cross-sectional survey of Vietnamese adults. Glob. Health Action 2013, 6, 1–9. [Google Scholar] [CrossRef]
  29. Kadir, M.M.; McClure, E.M.; Goudar, S.S.; Garces, A.L.; Moore, J.; Onyamboko, M.; Kaseba, C.; Althabe, F.; Castilla, E.E.; Freire, S.; et al. Exposure of pregnant women to indoor air pollution: A study from nine low and middle income countries. Acta Obstet. Gynecol. Scand. 2010, 89, 540–548. [Google Scholar] [CrossRef] [Green Version]
  30. Bloch, M.; Tong, V.T.; Novotny, T.E.; England, L.J.; Dietz, P.M.; Kim, S.Y.; Samet, J.M.; Tolosa, J.E. Tobacco use and secondhand smoke exposure among pregnant women in low- and middle-income countries: A call to action. Acta Obstet. Gynecol. Scand. 2010, 89, 418–422. [Google Scholar] [CrossRef]
  31. Pope, D.P.; Mishra, V.; Thompson, L.; Siddiqui, A.R.; Rehfuess, E.A.; Weber, M.; Bruce, N.G. Risk of low birth weight and stillbirth associated with indoor air pollution from solid fuel use in developing countries. Epidemiol. Rev. 2010, 32, 70–81. [Google Scholar] [CrossRef] [Green Version]
  32. Ngo, C.Q.; Phan, P.T.; Vu, G.V.; Chu, H.T.; Nguyen, T.T.; Nguyen, M.H.; Phan, H.T.; Ong, B.M.Y.; Vu, G.T.; Pham, K.T.H.; et al. Prevalence and Sources of Second-Hand Smoking Exposure among Non-Smoking Pregnant Women in an Urban Setting of Vietnam. Int. J. Environ. Res. Public Health 2019, 16, 5022. [Google Scholar] [CrossRef] [Green Version]
  33. Johnson, K.C.; Miller, A.B.; Collishaw, N.E.; Palmer, J.R.; Hammond, S.K.; Salmon, A.G.; Cantor, K.P.; Miller, M.D.; Boyd, N.F.; Millar, J.; et al. Active smoking and secondhand smoke increase breast cancer risk: The report of the Canadian Expert Panel on Tobacco Smoke and Breast Cancer Risk (2009). Tob. Control 2011, 20, e2. [Google Scholar] [CrossRef] [PubMed]
  34. Samet, J.M. Tobacco smoking: The leading cause of preventable disease worldwide. Thorac. Surg. Clin. 2013, 23, 103–112. [Google Scholar] [CrossRef] [PubMed]
  35. Centers for Disease Control and Prevention. Current tobacco use and secondhand smoke exposure among women of reproductive age—14 countries, 2008–2010. MMWR Morb. Mortal. Wkly Rep. 2012, 61, 877–882. [Google Scholar]
  36. Minh, H.V.; Giang, K.B.; Xuan le, T.T.; Nga, P.T.; Hai, P.T.; Minh, N.T.; Quan, N.T.; Hsia, J. Exposure to second-hand smoke at home and its associated factors: Findings from the Global Adult Tobacco Use survey in Vietnam, 2010. Cancer Causes Control 2012, 23 (Suppl. 1), 99–107. [Google Scholar] [CrossRef] [PubMed]
  37. Bhanji, S.; Andrades, M.; Taj, F.; Khuwaja, A.K. Factors related to knowledge and perception of women about smoking: A cross sectional study from a developing country. BMC Womens Health 2011, 11, 16. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  38. Basu, P.; Hassan, S.; Fileeshia, F.; Mohamed, S.; Nahoodha, A.; Shiuna, A.; Sulaiman, A.I.; Najeeb, N.; Saleem, F.J. Knowledge, attitude and practices of women in maldives related to the risk factors, prevention and early detection of cervical cancer. Asian Pac. J. Cancer Prev. 2014, 15, 6691–6695. [Google Scholar] [CrossRef] [Green Version]
  39. Yang, J.; Hammond, D.; Driezen, P.; Fong, G.T.; Jiang, Y. Health knowledge and perception of risks among Chinese smokers and non-smokers: Findings from the Wave 1 ITC China Survey. Tob. Control 2010, 19 (Suppl. 2), i18–i23. [Google Scholar] [CrossRef] [Green Version]
  40. Hyland, A.; Barnoya, J.; Corral, J.E. Smoke-free air policies: Past, present and future. Tob. Control 2012, 21, 154–161. [Google Scholar] [CrossRef]
  41. Nichter, M.; Greaves, L.; Bloch, M.; Paglia, M.; Scarinci, I.; Tolosa, J.E.; Novotny, T.E. Tobacco use and secondhand smoke exposure during pregnancy in low- and middle-income countries: The need for social and cultural research. Acta Obstet. Gynecol. Scand. 2010, 89, 465–477. [Google Scholar] [CrossRef]
  42. Ahmad, M.M. Jordanians knowledge and beliefs about cancer. Glob. J. Adv. Pure Appl. Sci. 2014, 4, 38–41. [Google Scholar]
  43. Gharaibeh, H.; Haddad, L.; Alzyoud, S.; El-Shahawy, O.; Baker, N.A.; Umlauf, M. Knowledge, attitudes, and behavior in avoiding secondhand smoke exposure among non-smoking employed women with higher education in Jordan. Int. J. Environ. Res. Public Health 2011, 8, 4207–4219. [Google Scholar] [CrossRef] [PubMed]
  44. Dao, T.M.; Hoang, V.M.; Le, T.H.; Kim, B.G.; Le, T.T.; Pham, T.Q.; Hsia, J. Attitudes toward nonsmoking policies and tobacco tax increases: A cross-sectional study among Vietnamese adults. Asia Pac. J. Public Health 2015, 27, NP947–NP957. [Google Scholar] [CrossRef] [PubMed]
  45. Assembly, N. Law on Prevention and Control of Tobacco Exposures; Vietnam Govenmental Portal: Hanoi, Vietnam, 2012. [Google Scholar]
  46. Pacheco, J. Attitudinal policy feedback and public opinion: The impact of smoking bans on attitudes towards smokers, secondhand smoke, and antismoking policies. Public Opin. Q. 2013, 77, 714–734. [Google Scholar] [CrossRef]
  47. Soss, J.; Schram, S.F. A public transformed? Welfare reform as policy feedback. Am. Political Sci. Rev. 2007, 101, 111–127. [Google Scholar] [CrossRef] [Green Version]
  48. Tran, D.T.; Kosik, R.O.; Mandell, G.A.; Chen, Y.A.; Su, T.P.; Chiu, A.W.; Fan, A.P. Tobacco control in Vietnam. Public Health 2013, 127, 109–118. [Google Scholar] [CrossRef] [PubMed]
  49. Mao, A.; Yang, T.; Bottorff, J.L.; Sarbit, G. Personal and social determinants sustaining smoking practices in rural China: A qualitative study. Int. J. Equity Health 2014, 13, 12. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  50. Stevens, S.; Colwell, B.; Hutchison, L. Tobacco use in rural areas: A literature review. Rural Healthy People 2010 2003, 2, 237–249. [Google Scholar]
  51. Darviri, C.; Fouka, G.; Gnardellis, C.; Artemiadis, A.K.; Tigani, X.; Alexopoulos, E.C. Determinants of self-rated health in a representative sample of a rural population: A cross-sectional study in Greece. Int. J. Environ. Res. Public Health 2012, 9, 943–954. [Google Scholar] [CrossRef] [Green Version]
  52. Mittal, S.; Das, S. Toward smoke-free homes: A community-based study on initiatives of rural Indian women. J. Family Community Med. 2011, 18, 69–73. [Google Scholar] [CrossRef]
  53. Demaio, A.R.; Nehme, J.; Otgontuya, D.; Meyrowitsch, D.W.; Enkhtuya, P. Tobacco smoking in Mongolia: Findings of a national knowledge, attitudes and practices study. BMC Public Health 2014, 14, 213. [Google Scholar] [CrossRef] [Green Version]
  54. Suriani, I.; Juni, M.H.; Minhat, H.; Aidalina, M.; Saliluddin, S.M. Practices regarding secondhand smoking among Malay housewives in rural community in Jempol, Negeri Sembilan. Int. J. Public Health Clin. Sci. 2015, 2, 148–158. [Google Scholar]
  55. Harelick, L.; Viola, D.; Tahara, D. Preconception health of low socioeconomic status women: Assessing knowledge and behaviors. Womens Health Issues 2011, 21, 272–276. [Google Scholar] [CrossRef] [PubMed]
  56. Dott, M.; Rasmussen, S.A.; Hogue, C.J.; Reefhuis, J.; National Birth Defects Prevention, S. Association between pregnancy intention and reproductive-health related behaviors before and after pregnancy recognition, National Birth Defects Prevention Study, 1997-2002. Matern. Child Health J. 2010, 14, 373–381. [Google Scholar] [CrossRef] [PubMed]
  57. Patten, C.A.; Hughes, C.A.; Lopez, K.N.; Thomas, J.L.; Brockman, T.A.; Smith, C.M.; Decker, P.A.; Rock, E.; Clark, L.P.; Offord, K.P. Web-based intervention for adolescent nonsmokers to help parents stop smoking: A pilot feasibility study. Addict Behav. 2012, 37, 85–91. [Google Scholar] [CrossRef]
  58. Simmons, V.N.; Heckman, B.W.; Fink, A.C.; Small, B.J.; Brandon, T.H. Efficacy of an experiential, dissonance-based smoking intervention for college students delivered via the internet. J. Consult. Clin. Psychol. 2013, 81, 810–820. [Google Scholar] [CrossRef] [Green Version]
  59. Lien, M.; Carroll, T.; Hamill, S.; Thi Hai, P. Use of new media to support passage of Vietnam’s national tobacco control legislation. Tob. Control 2017, 26, 720–724. [Google Scholar] [CrossRef]
  60. Budin, C.E.; Alexescu, T.G.; Bordea, I.R.; Gherginescu, M.C.; Aluas, M.; Grigorescu, B.L.; Biro, L.; Buzoianu, A.D.; Nemes, R.M.; Tantu, M.M. Nicotine Addiction: Objective in Educational Programs for Smoking Prevention in Young People. Rev. Chim. 2019, 70, 2168–2172. [Google Scholar] [CrossRef]
  61. Golechha, M. Health Promotion Methods for Smoking Prevention and Cessation: A Comprehensive Review of Effectiveness and the Way Forward. Int. J. Prev. Med. 2016, 7, 7. [Google Scholar] [CrossRef] [Green Version]
  62. Shishani, K.; Stevens, K.; Dotson, J.; Riebe, C. Improving nursing students’ knowledge using online education and simulation to help smokers quit. Nurse Educ. Today 2013, 33, 210–213. [Google Scholar] [CrossRef]
  63. Buller, D.B.; Borland, R.; Bettinghaus, E.P.; Shane, J.H.; Zimmerman, D.E. Randomized trial of a smartphone mobile application compared to text messaging to support smoking cessation. Telemed. J. E. Health 2014, 20, 206–214. [Google Scholar] [CrossRef] [Green Version]
Table 1. Demographic characteristics of pregnant women.
Table 1. Demographic characteristics of pregnant women.
CharacteristicsTotal
n%
Total432100.0
Age group
 18–2511827.3
 26–3020046.3
 31–357918.3
 >35358.1
Education attainment
 <High school163.7
 High school7216.7
 >High school34479.6
Occupation
 Self-employed12027.8
 Employed26260.7
 Unemployed/Housewife5011.6
Gestation week
 <30 weeks16337.7
 30–37 weeks20046.3
 >37 weeks6916.0
Table 2. Knowledge about SHS.
Table 2. Knowledge about SHS.
Characteristicsn%95% CI
Definition of SHS26862.057.34; 66.51
Health effects of SHS on pregnant women
 Cardiovascular diseases15836.632.14; 41.24
 Pulmonary diseases39892.189.17; 94.33
 Lung cancer34980.876.78; 84.24
 Other cancers17540.536.0; 45.23
 Miscarriage, complications32374.870.44; 78.66
 High blood pressure11025.521.56; 29.80
 Sexual dysfunction6916.012.80; 19.75
 Peptic ulcer4410.27.66; 13.42
Health effects of SHS on infants
 Miscarriage, stillbirth33076.472.14; 80.17
 Preterm birth, low birth weight33276.972.62; 80.61
 Infant mortality13431.026.81; 35.56
 Sudden infant death syndrome7116.413.22; 20.25
Facilities which prohibit completely smoking indoor and outdoor according to the law
 Health care facilities39892.189.17; 94.33
 Education facilities38689.486.06; 91.93
 Childcare facilities41295.492.92; 97.0
 Facilities with high fire risk39892.189.17; 94.33
Facilities which prohibit completely smoking indoor according to the law
 Workplace32875.971.65; 79.74
 Schools30370.165.63; 74.84
 Public areas24957.652.90; 62.24
 Public transportation (bus, fly, train)37787.383.77; 90.10
MeanSD
Knowledge score (0–10 points)4.192.123.99; 4.39
Table 3. Attitude about SHS.
Table 3. Attitude about SHS.
Characteristicn%95% CI
Smoking at home should not be allowed37085.782.0; 88.66
Smoking at workplace should not be allowed30470.465.87; 74.50
Smoking in public areas should not be allowed29267.663.01; 71.86
MeanSD
Attitude score (0–10 points)7.453.057.10; 7.80
Table 4. Practice about SHS.
Table 4. Practice about SHS.
Characteristicn%95% CI
Remind smokers at home
 Always14433.329.03; 37.93
 Usually11626.922.87; 31.24
 Sometimes8118.815.33; 22.72
 Rarely214.93.18; 7.35
 Never7016.213.0; 20.0
Action to stop smoking behavior at home
 Assertive attitude13130.326.16; 34.84
 Call support of people around7617.614.27; 21.49
 Require smokers to go to a separate room22752.647.81; 57.23
 Do nothing30.70.22; 2.14
Remind smokers at workplace
 Always6615.312.17; 19.00
 Usually7116.413.22; 20.25
 Sometimes14132.628.36; 37.22
 Rarely368.36.07; 11.35
 Never11827.323.30; 31.73
 Total432100
Action to stop smoking behavior at workplace
 Assertive attitude5713.210.30; 16.74
 Call support of people around5011.68.87; 14.96
 Require smokers to go to a separate room19244.439.80; 49.18
 Report to security/authority194.42.82; 6.80
 Do nothing21950.745.97; 55.41
Remind smokers at public areas
 Always112.61.41; 4.54
 Usually235.33.56; 7.90
 Sometimes7216.713.42; 20.50
 Rarely6314.611.54; 18.25
 Never26360.956.17; 65.39
Action to stop smoking behavior in public areas
 Assertive attitude194.42.82; 6.80
 Mobilize the support of surrounding people102.31.25; 5.25
 Require smokers to stay in a separate room7417.113.85; 21.00
 Report to security/authority61.40.62; 3.07
 Do nothing34178.974.82; 82.54
MeanSD
Practice score (0–10 points)4.302.391.80; 6.81
Table 5. Associated factors with knowledge, attitude and practice.
Table 5. Associated factors with knowledge, attitude and practice.
CharacteristicsKnowledge ScoreAttitude ScorePractice Score
Coef. 195% CI 2Coef.95% CICoef.95% CI
Age group
 18–25 (ref)
 26–30 −0.56 *−1.13; 0.02
 31–350.51 **0.02; 0.99 −0.47 *−1.01; 0.08
 >350.59−0.13; 1.31
Occupation
 Self-employed (ref)
 Employed0.66 ***0.22; 1.11
 Unemployed/Housewife0.53−0.18; 1.24 −1.08 ***−1.76; −0.39
Living location
 Urban (ref)
 Rural 0.99 ***0.24; 1.74−0.60 **−1.16; −0.04
Gestation week−0.02 **−0.03; −0.000.02−0.00; 0.04
Source of information
 News or magazines
  No (ref)
  Yes0.65 ***0.22; 1.08
 Advertisement
  No (ref)
  Yes −1.26 **−2.39; −0.13
 Internet
  No (ref)
  Yes 0.68 **0.01; 1.360.49 *−0.05; 1.02
 Loudspeaker
  No (ref)
  Yes 1.17 **0.05; 2.28
 Leaflets
  No (ref)
  Yes0.71−0.23; 1.66−0.79−1.95; 0.37
Knowledge score 0.13 **0.03; 0.24
*** p < 0.01; ** p < 0.0; * p < 0.1; 1 Coefficient; 2 Confidence interval.

Share and Cite

MDPI and ACS Style

Vu, G.V.; Ngo, C.Q.; Phan, P.T.; Doan, L.P.T.; Nguyen, T.T.; Nguyen, M.H.; Nguyen, D.N.; Nguyen, N.T.T.; Nguyen, H.L.T.; Hoang, C.L.; et al. Inadequate Knowledge, Attitude and Practices about Second-Hand Smoke among Non-Smoking Pregnant Women in Urban Vietnam: The Need for Health Literacy Reinforcement. Int. J. Environ. Res. Public Health 2020, 17, 3744. https://doi.org/10.3390/ijerph17103744

AMA Style

Vu GV, Ngo CQ, Phan PT, Doan LPT, Nguyen TT, Nguyen MH, Nguyen DN, Nguyen NTT, Nguyen HLT, Hoang CL, et al. Inadequate Knowledge, Attitude and Practices about Second-Hand Smoke among Non-Smoking Pregnant Women in Urban Vietnam: The Need for Health Literacy Reinforcement. International Journal of Environmental Research and Public Health. 2020; 17(10):3744. https://doi.org/10.3390/ijerph17103744

Chicago/Turabian Style

Vu, Giap Van, Chau Quy Ngo, Phuong Thu Phan, Lan Phuong Thi Doan, Toan Thi Nguyen, Mai Hong Nguyen, Diep Ngoc Nguyen, Nguyen Thao Thi Nguyen, Huong Lan Thi Nguyen, Chi Linh Hoang, and et al. 2020. "Inadequate Knowledge, Attitude and Practices about Second-Hand Smoke among Non-Smoking Pregnant Women in Urban Vietnam: The Need for Health Literacy Reinforcement" International Journal of Environmental Research and Public Health 17, no. 10: 3744. https://doi.org/10.3390/ijerph17103744

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop