CC BY-NC-ND 4.0 · Geburtshilfe Frauenheilkd 2020; 80(01): 66-75
DOI: 10.1055/a-1061-7288
GebFra Science
Original Article
Georg Thieme Verlag KG Stuttgart · New York

STudy on E-Cigarettes and Pregnancy (STEP) – Study Protocol of a Mixed Methods Study on Risk Perception of E-Cigarette Use During Pregnancy and Sample Description

Studie zu E-Zigaretten und Schwangerschaft (STEP) – Studienprotokoll einer Mixed-Methods-Studie zur Risikowahrnehmung der E-Zigarettennutzung in der Schwangerschaft und Stichprobenbeschreibung
Laura Schilling
1   Department of Public Health, Brandenburg University of Technology, Senftenberg, Germany
2   Mannheim Institute of Public Health, Social and Preventive Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
,
Sven Schneider
2   Mannheim Institute of Public Health, Social and Preventive Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
,
Holger Maul
3   Asklepios Klinik Barmbek, Hamburg, Germany
,
Jacob Spallek
1   Department of Public Health, Brandenburg University of Technology, Senftenberg, Germany
› Author Affiliations
Further Information

Publication History

received 08 June 2019
revised 12 November 2019

accepted 14 November 2019

Publication Date:
13 January 2020 (online)

Abstract

Introduction During pregnancy, the motherʼs healthy lifestyle is crucial for the health of the fetus. Potential risk factors for maternal and child health should therefore be identified and reduced as early as possible. The consumption of e-cigarettes represents one of these potential risk factors. Exploring risk perceptions about e-cigarette use during pregnancy can provide early indications of possible user motives. Therefore, our mixed methods STudy on E-cigarettes and Pregnancy (STEP) aimed to comprehensively analyze risk perceptions about e-cigarette use during pregnancy based on an Integrated Health Belief Model (IHBM). This paper describes the study design, methods, sample population and limitations of STEP.

Methods Our sequential mixed methods study combined qualitative and quantitative approaches. In the qualitative section of the study which preceded the quantitative part of the study, we aimed to characterize risk perceptions about e-cigarette use during pregnancy. We used a netnographic research approach which analyzed discussion threads in online forums dealing with e-cigarette use during pregnancy. The analysis was based on an IHBM. Identified themes were incorporated in the questionnaire which was developed for the quantitative part of the study. The quantitative section aimed to quantify, among other things, perceived threats, barriers and benefits and to explore differences in risk perception according to sociodemographic characteristics and tobacco and e-cigarette usage.

Results In the qualitative section, 1552 posts in 25 online discussion threads dealing, inter alia, with e-cigarette use during pregnancy were identified. The quantitative part looked at the responses in the questionnaires handed in by 575 pregnant women who attended a hospital in Hamburg (Germany) from April 2018 to January 2019 (response rate: 27.5%).

Conclusion Data collection was successful for both the qualitative and quantitative parts of the study. When interpreting the results of STEP, different limitations should be taken into account. The results of STEP provide starting points for the development of tailored preventive measures for pregnant women.

Zusammenfassung

Einleitung Während der Schwangerschaft ist ein gesunder Lebensstil der Mutter entscheidend für die Gesundheit des Fetus. Potenzielle Risikofaktoren für die Gesundheit von Mutter und Kind sollten daher frühestmöglich identifiziert und reduziert werden. Die Nutzung von E-Zigaretten stellt einen dieser potenziellen Risikofaktoren dar. Die Erforschung der Risikowahrnehmung der E-Zigarettennutzung in der Schwangerschaft kann frühzeitige Hinweise zu möglichen Nutzungsmotiven liefern. Unsere Mixed-Methods-Studie zu E-Zigaretten und Schwangerschaft (STEP) zielte daher auf die umfassende Analyse der Risikowahrnehmung der E-Zigarette in der Schwangerschaft basierend auf einem Integrierten Health Belief Model (IHBM). Das vorliegende Manuskript zielt auf die Beschreibung des Studiendesigns, der Methodik, der Stichprobe und der Limitationen von STEP.

Methoden Unsere sequenzielle Mixed-Methods-Studie kombinierte qualitative und quantitative Ansätze. Innerhalb des qualitativen Studienteils, welcher dem quantitativen Studienteil vorausging, zielten wir auf die Charakterisierung der Risikowahrnehmung der E-Zigarettennutzung in der Schwangerschaft. Basierend auf einem netnografischen Forschungsansatz analysierten wir Diskussionsstränge in Onlineforen, die sich mit der E-Zigarettennutzung in der Schwangerschaft beschäftigen. Die Analyse erfolgte in Anlehnung an das IHBM. Die identifizierten Themen dienten der Fragebogenentwicklung für den quantitativen Studienteil. Der quantitative Studienteil zielte auf die Quantifizierung der u. a. wahrgenommenen Risiken, Barrieren und Vorteile sowie der Untersuchung der Unterschiede in der Risikowahrnehmung abhängig von soziodemografischen Eigenschaften und dem Nutzungsverhalten von Tabak- und E-Zigaretten.

Ergebnisse Im qualitativen Studienteil wurden 1552 Beiträge in 25 Onlinediskussionssträngen, die sich u. a. mit der E-Zigarettennutzung in der Schwangerschaft beschäftigen, identifiziert. Im quantitativen Studienteil beantworteten insgesamt 575 Schwangere in einem Krankenhaus in Hamburg (Deutschland) den Fragebogen (Response: 27,5%) von April 2018 bis Januar 2019.

Schlussfolgerung Die Datensammlung im qualitativen und quantitativen Studienteil verlief erfolgreich. Bei der Interpretation der Ergebnisse von STEP müssen unterschiedliche Limitationen berücksichtigt werden. Die Ergebnisse von STEP liefern Ansatzpunkte für die Entwicklung von gezielten Präventionsmaßnahmen für Schwangere.

 
  • References

  • 1 Schneider S, Görig T, Schilling L. et al. E-Zigaretten in aller Munde? – Aktuelle repräsentative Daten zur Nutzung unter Jugendlichen und Erwachsenen. Dtsch Med Wochenschr 2017; 142: e156-e166
  • 2 Kotz D, Böckmann M, Kastaun S. The use of tobacco, e-cigarettes, and methods to quit smoking in Germany. Dtsch Arztebl Int 2018; 115: 235-242
  • 3 Bhandari NR, Day KD, Payakachat N. et al. Use and risk perception of electronic nicotine delivery systems and tobacco in pregnancy. Womens Health Issues 2018; 28: 251-257
  • 4 Wagner NJ, Camerota M, Propper C. Prevalence and perceptions of electronic cigarette use during pregnancy. Matern Child Health J 2017; 21: 1655-1661
  • 5 Whittington JR, Simmons PM, Phillips AM. et al. The use of electronic cigarettes in pregnancy: a review of the literature. Obstet Gynecol Surv 2018; 73: 544-549
  • 6 England LJ, Bunnell RE, Pechacek TF. et al. Nicotine and the developing human: a neglected element in the electronic cigarette debate. Am J Prev Med 2015; 49: 286-293
  • 7 Li G, Saad S, Oliver BG. et al. Heat or Burn? Impacts of intrauterine tobacco smoke and e-cigarette vapor exposure on the offspringʼs health outcome. Toxics 2018; 6: E43
  • 8 Schneider S, Schilling L. E-Zigaretten in der Schwangerschaft – ein unterschätztes Risiko?. Frauenarzt 2019; 60: 90-92
  • 9 Chen H, Li G, Chan YL. et al. Maternal e-cigarette exposure in mice alters DNA methylation and lung cytokine expression in offspring. Am J Respir Cell Mol Biol 2018; 58: 366-377
  • 10 Suter MA, Mastrobattista J, Sachs M. et al. Is there evidence for potential harm of electronic cigarette use in pregnancy?. Birth Defects Res A Clin Mol Teratol 2015; 103: 186-195
  • 11 Palpant NJ, Hofsteen P, Pabon L. et al. Cardiac development in zebrafish and human embryonic stem cells is inhibited by exposure to tobacco cigarettes and e-cigarettes. PLoS One 2015; 10: e0126259
  • 12 McGrath-Morrow SA, Hayashi M, Aherrera A. et al. The effects of electronic cigarette emissions on systemic cotinine levels, weight and postnatal lung growth in neonatal mice. PLoS One 2015; 10: e0118344
  • 13 Nguyen T, Li GE, Chen H. et al. Maternal e-cigarette exposure results in cognitive and epigenetic alterations in offspring in a mouse model. Chem Res Toxicol 2018; 31: 601-611
  • 14 Lauterstein DE, Tijerina PB, Corbett K. et al. Frontal cortex transcriptome analysis of mice exposed to electronic cigarettes during early life stages. Int J Environ Res Public Health 2016; 13: 417
  • 15 Spindel ER, McEvoy CT. The role of nicotine in the effects of maternal smoking during pregnancy on lung development and childhood respiratory disease. Implications for dangers of e-cigarettes. Am J Respir Crit Care Med 2016; 193: 486-494
  • 16 Williams M, Villarreal A, Bozhilov K. et al. Metal and silicate particles including nanoparticles are present in electronic cigarette cartomizer fluid and aerosol. PLoS One 2013; 8: e57987
  • 17 Uchiyama S, Ohta K, Inaba Y. et al. Determination of carbonyl compounds generated from the e-cigarette using coupled silica cartridges impregnated with hydroquinone and 2,4-dinitrophenylhydrazine, followed by high-performance liquid chromatography. Anal Sci 2013; 29: 1219-1222
  • 18 FCTC. Electronic Nicotine Delivery Systems. Report by WHO. Moscow, Russia: Conference of the Parties to the WHO Framework Convention on Tobacco Control; 2014
  • 19 McCubbin A, Fallin-Bennett A, Barnett J. et al. Perceptions and use of electronic cigarettes in pregnancy. Health Educ Res 2017; 32: 22-32
  • 20 Rosenstock IM. The Health Belief Model and preventive health behavior. Health Educ Monogr 1974; 2: 354-386
  • 21 Ajzen I, Fishbein M. Understanding Attitudes and predicting social Behavior. New York: Prentice-Hall; 1980
  • 22 Case K, Crook B, Lazard A. et al. Formative research to identify perceptions of e-cigarettes in college students: implications for future health communication campaigns. J Am Coll Health 2016; 64: 380-389
  • 23 Bowker K, Orton S, Cooper S. et al. Views on and experiences of electronic cigarettes: a qualitative study of women who are pregnant or have recently given birth. BMC Pregnancy Childbirth 2018; 18: 233
  • 24 Oncken C, Ricci KA, Kuo CL. et al. Correlates of electronic cigarettes use before and during pregnancy. Nicotine Tob Res 2017; 19: 585-590
  • 25 Mark KS, Farquhar B, Chisolm MS. et al. Knowledge, attitudes, and practice of electronic cigarette use among pregnant women. J Addict Med 2015; 9: 266-272
  • 26 Ashford K, Rayens E, Wiggins AT. et al. Advertising exposure and use of e-cigarettes among female current and former tobacco users of childbearing age. Public Health Nurs 2017; 34: 430-436
  • 27 Wigginton B, Gartner C, Rowlands IJ. Is it safe to vape? Analyzing online forums discussing e-cigarette use during pregnancy. Womens Health Issues 2017; 27: 93-99
  • 28 Kahr MK, Padgett S, Shope CD. et al. A qualitative assessment of the perceived risks of electronic cigarette and hookah use in pregnancy. BMC Public Health 2015; 15: 1273
  • 29 Kozinets RV. E-tribalized marketing? The strategic implications of virtual communities of consumption. Eur J Manag 1999; 17: 252-264
  • 30 Triandafilidis Z, Ussher JM, Perz J. et al. An intersectional analysis of womenʼs experiences of smoking-related stigma. Qual Health Res 2017; 27: 1445-1460
  • 31 Im EO, Chee W. An online forum as a qualitative research method. Nurs Res 2006; 55: 267-273
  • 32 Im EO, Chee FW. Practical guidelines for qualitative research using online forums. Comput Inform Nurs 2012; 30: 604-611
  • 33 Mann C, Stewart F. Internet Communication and qualitative Research. London, U.K.: Sage; 2000
  • 34 Karlheim C. Hilfe@Depressions-Online-Foren: Eine qualitative Studie zu Unterstützungs- und Hilfebestrebungen in Depressions-Online-Foren im Internet [Dissertation]. Bielefeld: Universität Bielefeld; 2016
  • 35 Robinson KM. Unsolicited narratives from the internet: a rich source of qualitative data. Qual Health Res 2001; 11: 706-714
  • 36 Smith H, Bulbul A, Jones CJ. Can online discussion sites generate quality data for research purposes?. Front Public Health 2017; 5: 1-4
  • 37 Mayring P. Neue Entwicklungen in der qualitativen Forschung und der qualitativen Inhaltsanalyse. In: Mayring P, Gläser-Zikuda M. Hrsg. Die Praxis der Qualitativen Inhaltsanalyse. Weinheim: Beltz; 2008: 7-19
  • 38 Mayring P. Einführung in die qualitative Sozialforschung. Eine Anleitung zu qualitativem Denken. Weinheim: Beltz; 2002
  • 39 Asklepios Klinik Barmbek. Geburtshilfe & Pränatalmedizin. 2018. Online: https://www.asklepios.com/hamburg/barmbek/experten/geburtshilfe/ last access: 10.03.2018
  • 40 Schneider S, Görig T, Diehl K. Die E-Zigarette – Bundesweite Daten zu Bekanntheit, Nutzung und Risikowahrnehmung. ASU 2015; 50: 818-823
  • 41 Smith D, Aherrera A, Lopez A. et al. Adult behavior in male mice exposed to e-cigarette nicotine vapors during late prenatal and early postnatal life. PLoS One 2015; 10: e0137953
  • 42 Choi K, Forster JL. Beliefs and experimentation with electronic cigarettes: a prospective analysis among young adults. Am J Prev Med 2014; 46: 175-178
  • 43 Kastaun S, Brown J, Brose LS. et al. Study protocol of the German Study on Tobacco Use (DEBRA): a national household survey of smoking behaviour and cessation. BMC Public Health 2017; 17: 378
  • 44 Champion VL, Skinner CS. The Health Belief Model. In: Glanz K, Rimer BK, Viswanath K. eds. Health Behavior and Health Education: Theory, Research, and Practice. San Francisco: Jossey-Bass; 2008: 45-65
  • 45 Peadon E, Payne J, Henley N. et al. Attitudes and behaviour predict womenʼs intention to drink alcohol during pregnancy: the challenge for health professionals. BMC Public Health 2011; 11: 584
  • 46 Spallek J, Grosser A, Holler-Holtrichter C. et al. Early childhood health in Bielefeld, Germany (BaBi study): study protocol of a social-epidemiological birth cohort. BMJ Open 2017; 7: e018398
  • 47 Institut für Epidemiologie und Medizinische Biometrie. SPATZ Studie. Die Säulen. 2018. Online: http://www.ulmer-forschen.de/die-saeulen/10-ulmer-spatz-gesundheitsstudie/die-studie last access: 20.01.2018
  • 48 Meader N, King K, Moe-Byrne T. et al. A systematic review on the clustering and co-occurrence of multiple risk behaviours. BMC Public Health 2016; 16: 657
  • 49 Robert Koch-Institut. Telefonischer Gesundheitssurvey – Methodik. 2006. Online: http://www.gbe-bund.de/gbe10/abrechnung.prc_abr_test_logon?p_uid=gast&p_aid=0&p_knoten=FID&p_sprache=D&p_suchstring=9774 ; last access: 05.04.2018
  • 50 Schenk L, Bau AM. Mindestindikatorensatz zur Erfassung des Migrationsstatus – Empfehlungen für die epidemiologische Praxis. Bundesgesundheitsbl Gesundheitsforsch Gesundheitschutz 2006; 49: 853-860
  • 51 Babycenter. Nutzungsbedingungen. 2019. Online: https://www.babycenter.de/e1268/nutzungsbedingungen last access: 25.07.2019
  • 52 Actors Dampfer-Forum. Frequently Asked Questions. 2019. Online: http://www.elektrisches-rauchen.com/faq.php last access: 25.07.2019
  • 53 Fincham JE. Response rates and responsiveness for surveys, standards, and the journal. Am J Pharm Educ 2008; 72: 43
  • 54 Statistisches Amt für Hamburg und Schleswig-Holstein. Statistisches Jahrbuch Hamburg. Hamburg: Statistisches Amt für Hamburg und Schleswig-Holstein; 2019
  • 55 Statistisches Bundesamt. Bildungsstand der Bevölkerung. Ergebnisse des Mikrozensus 2017. Wiesbaden: Statistisches Bundesamt; 2018
  • 56 Kuntz B, Zeiher J, Starker A. et al. Smoking during pregnancy. Results of the cross-sectional KiGGS Wave 2 study and trends. Journal of Health Monitoring 2018; DOI: 10.17886/RKI-GBE-2018-026.
  • 57 Grosser A. Deteminanten von subjektivem Stress in der Schwangerschaft. Eine Auswertung von Baseline-Daten der sozialepidemiologischen Geburtskohorte zur „Gesundheit von Babys und Kindern in Bielefeld“ (BaBi-Studie) [Dissertation]. Bielefeld: Universität Bielefeld; 2016
  • 58 Braig S, Weiss JM, Stalder T. et al. Maternal prenatal stress and child atopic dermatitis up to age 2 years: The Ulm SPATZ Health Study. Pediatr Allergy Immunol 2017; 28: 144-151