Incentivizing Pregnant Women to Quit Smoking in the Real World-A Community-Based Pilot Intervention

Smoking during pregnancy is a leading preventable cause of poor pregnancy outcomes. Financial incentives interventions yield quit rates of approximately 30% during pregnancy, versus approximately 4% in traditional smoking cessation programs. This pilot study assessed the feasibility of translating an efficacious University of Vermont research-based intervention into a rural community setting delivered by the Vermont Department of Health. Pregnant women using tobacco products were recruited from the Women, Infants and Children program and Rutland Women's Healthcare. Women were provided in-person tobacco cessation counseling during regularly scheduled meetings and received gift cards throughout pregnancy and 3 months postpartum contingent upon biochemically verified smoking abstinence. Cessation counseling and abstinence monitoring began with high frequency (three visits per week), tapering through postpartum to biweekly visits. Gift card values began at $15, increasing by $5 for consecutive negative samples, to $40 maximum. Participants completed three surveys (enrollment, 4-6 weeks postpartum, 6-12 months postpartum) assessing smoking habits, and barriers and facilitators of treatment engagement and success. From 2018 to 2020, we enrolled 20 pregnant women, of whom six self-reported quitting tobacco at some point during the intervention. At study completion, three reported sustained abstinence. Results suggest that it is feasible to translate a research-based smoking cessation program into a community setting. This article discusses the challenges faced and the lessons learned when implementing research in a rural community setting, recruiting and retaining participants, and adapting protocols during the Covid-19 pandemic.

Behavior Science Contributions to Public Policy: an Introduction to the Special Section

Behavior science has a long history of influencing public policy. Numerous scholars have used behavioral principles in experimental and applied research to examine the potential impact of local, state, and federal policies across socially important problems and goals. The utility of behavior science in public policy continues to flourish, and translational behavioral research will remain a critical component of effective policy development and implementation. The articles in this special section highlight diverse examples of applied research in various areas, such as intellectual disabilities, substance use, and greenhouse gas emissions. In addition, this special section includes findings from experimental research demonstrating the benefits of using demand curve analysis and behavioral procedures such as nudging and boosting to facilitate effective policy change. Together, these articles offer diverse exemplars of behavior science’s importance in public policy development and implementation.

Birth Outcomes Associated With E-Cigarette and Non-E-Cigarette Tobacco Product Use During Pregnancy: An Examination of PATH Data Waves 1-5

OBJECTIVES

To examine associations of prenatal e-cigarette use to pregnancy and birth outcomes.

METHODS

Currently pregnant women (n = 1 037) from Waves 1 through 4 of the Population Assessment of Tobacco and Health Study who had pregnancy or live birth outcome data in a subsequent wave (Waves 2-5; 2013 to 2019). Weighted bivariate and multivariable models\ examined associations between past 30-day tobacco use assessed during pregnancy (any past 30-day e-cigarette use, any past 30-day non-e-cigarette tobacco use, or no past 30-day tobacco use) with adverse pregnancy (miscarriage, abortion, ectopic or tubal pregnancy, stillbirth) and birth outcomes (preterm birth, low birth weight, birth defect, placenta previa, placental abruption, pre-eclampsia) reported in the subsequent wave.

RESULTS

Approximately 1% of pregnant women reported past 30-day exclusive e-cigarette use and 3.2% used e-cigarettes and one other tobacco product. Compared to no tobacco use, past 30-day e-cigarette use (exclusive or use with another tobacco product) during pregnancy was not associated with increased odds of an adverse pregnancy or birth outcome in bivariate or multivariable models. Past 30-day non-e-cigarette tobacco use was associated with increased odds of an adverse pregnancy outcome in multivariable models, but not an adverse live birth outcome. Compared to past 30-day cigarette use, past 30-day e-cigarette use during pregnancy was not associated with lowered odds of a birth or pregnancy outcome.

CONCLUSIONS

E-cigarette use during pregnancy is rare. Understanding the positive and negative impacts of pre-natal e-cigarette use on women's health may guide public health messaging campaigns.

IMPLICATIONS

Results showed that past 30-day e-cigarette use during pregnancy was low, with cigarette smoking remaining the most prevalent form of tobacco use during pregnancy. Current e-cigarette use during pregnancy used either exclusively or with another tobacco product, was not associated with increased risk of an adverse pregnancy, or birth outcome. A small sample size of e-cigarette users and limited information on quantity and frequency of e-cigarette use before and during pregnancy may limit conclusions. Healthcare providers may use this information when discussing the harms and consequences associated with e-cigarette and tobacco use during pregnancy.

Negotiating cancer preventative health behaviours and adapting to motherhood: the role of technology in supporting positive health behaviours

PURPOSE

Across the UK and USA, postpartum smoking relapse rates are high, and rates of breastfeeding and physical activity are low. This project aimed to explore these interrelated health behaviours and technology use, for intervention development to support postpartum cancer prevention.

METHODS

Focus groups and interviews with 26 purposively selected women (15 in Vermont, USA and 11 in Norfolk, UK). Recruitment was from deprived areas experiencing multiple disadvantage. Qualitative data were thematically analysed from dual cultural perspectives, underpinned by the social ecological model.

RESULTS

Women negotiate interrelated lifestyle behaviours as part of managing an identity in transition, moving through stages of disturbance, adaptation, acceptance and integration towards "becoming" a new Mother. Technology was integral to women's process of engagement with mothering identities. Intersectionality underpins complex patterns of interrelated behaviour.

CONCLUSIONS

There is scope to improve electronic/digital support for postpartum women cross-nationally to promote interrelated cancer-preventative lifestyle behaviours. Abbreviations CDC: Center for Disease Control, US; PA: Physical activity; SES: Socioeconomic status; SVI: Social Vulnerability Index; UK: UK; US: USA; WIC: Women infants and children office.

A systematic review and meta-analysis of interventions incorporating behaviour change techniques to promote breastfeeding among postpartum women

The benefits of exclusive breastfeeding are well documented, yet few women adhere to recommendations. We report the Behaviour Change Techniques (BCTs) within interventions trialled internationally after pregnancy to promote exclusive and mixed breastfeeding as well as evidence of effectiveness. PsycINFO, EMBASE and MEDLINE databases were screened. Twenty-three (n = 23) studies met inclusion criteria. Three authors independently extracted data, coded interventions using the BCT v.1 taxonomy, and assessed study quality. There was a moderate significant effect of the interventions promoting exclusive breastfeeding up to four weeks postpartum (OR 1.77, [95% CI: 1.47-2.13]) but this effect slightly declined beyond thirteen weeks (OR 1.63, [95% CI: 1.07-2.47]). Twenty-nine BCTs were identified within interventions. 'Credible source' and 'instruction on how to perform the behaviour' were the most prevalent and 'social support (unspecified)' contributed to the effectiveness of exclusive breastfeeding interventions five to eight weeks postpartum. Using BCTs with cognitive and behavioural aspects may help women develop coping mechanisms promoting exclusive breastfeeding. Further trials are needed in countries with low breastfeeding rates such as the UK. The use of programme theory during intervention development and clear description of intervention components is recommended. This meta-analysis provides guidance for trials evaluating postpartum breastfeeding interventions.

Lipocalin-2 protects the brain during inflammatory conditions

Sepsis is a prevalent health issue that can lead to central nervous system (CNS) inflammation with long-term behavioral and cognitive alterations. Using unbiased proteomic profiling of over 100 different cytokines, we found that Lipocalin-2 (LCN2) was the most substantially elevated protein in the CNS after peripheral administration of lipopolysaccharide (LPS). To determine whether the high level of LCN2 in the CNS is protective or deleterious, we challenged Lcn2^-/- mice with peripheral LPS and determined effects on behavior and neuroinflammation. At a time corresponding to peak LCN2 induction in wild-type (WT) mice injected with LPS, Lcn2^-/- mice challenged with LPS had exacerbated levels of pro-inflammatory cytokines and exhibited significantly worsened behavioral phenotypes. To determine the extent of global inflammatory changes dependent upon LCN2, we performed an RNAseq transcriptomic analysis. Compared with WT mice injected with LPS, Lcn2^-/- mice injected with LPS had unique transcriptional profiles and significantly elevated levels of multiple pro-inflammatory molecules. Several LCN2-dependent pathways were revealed with this analysis including, cytokine and chemokine signaling, nucleotide-binding oligomerization domain-like receptor signaling and Janus kinase-signal transducer and activator of transcription signaling. These findings demonstrate that LCN2 serves as a potent protective factor in the CNS in response to systemic inflammation and may be a potential candidate for limiting sepsis-related CNS sequelae.

A New Frontier: Integrating Behavioral and Digital Technology to Promote Health Behavior

Modifiable behavioral risk factors such as cigarette smoking, physical inactivity, and obesity contribute to over 40 % of premature deaths in the USA. Advances in digital and information technology are creating unprecedented opportunities for behavior analysts to assess and modify these risk factors. Technological advances include mobile devices, wearable sensors, biomarker detectors, and real-time access to therapeutic support via information technology. Integrating these advances with behavioral technology in the form of conceptually systematic principles and procedures could usher in a new generation of effective and scalable behavioral interventions targeting health behavior. In this selective review of the literature, we discuss how technological tools can assess and modify a range of antecedents and consequences of healthy and unhealthy behavior. We also describe practical, methodological, and conceptual advantages for behavior analysts that stem from the use of technology to assess and treat health behavior.

The ABCs of incentive-based treatment in health care: a behavior analytic framework to inform research and practice

Behavior plays an important role in health promotion. Exercise, smoking cessation, medication adherence, and other healthy behavior can help prevent, or even treat, some diseases. Consequently, interventions that promote healthy behavior have become increasingly common in health care settings. Many of these interventions award incentives contingent upon preventive health-related behavior. Incentive-based interventions vary considerably along several dimensions, including who is targeted in the intervention, which behavior is targeted, and what type of incentive is used. More research on the quantitative and qualitative features of many of these variables is still needed to inform treatment. However, extensive literature on basic and applied behavior analytic research is currently available to help guide the study and practice of incentive-based treatment in health care. In this integrated review, we discuss how behavior analytic research and theory can help treatment providers design and implement incentive-based interventions that promote healthy behavior.