Stress- and smoke free pregnancy study protocol: a randomized controlled trial of a personalized eHealth intervention including heart rate variability-biofeedback to support pregnant women quit smoking via stress reduction

Smoking cessation in pregnant women: A randomized controlled trial investigating the effectiveness of an eHealth intervention including heart rate variability-biofeedback training

BACKGROUND

Prenatal smoking and stress are associated with adverse health effects for women themselves and are risk factors for adverse outcomes of the child. Effective interventions are needed to support women with smoking cessation and reducing stress. The aims were (1) to test the effectiveness of an 8-week eHealth intervention targeting stress reduction and smoking cessation; (2) to examine whether stress reduction mediated the intervention effect on smoking behavior; (3) to test motivation to quit as a moderator; and (4) to investigate a dose-response effect of program usage.

METHODS

Pregnant women were included if they were >18 years of age, < 28 weeks pregnant at recruitment, and currently smoking. In total, 156 consenting participants were randomly assigned to the intervention or active control condition. Study outcomes on smoking (yes/no, frequency, and quantity) were collected via online questionnaires at pre-intervention (baseline; t0), post-intervention (8 weeks after t0; t1), and follow up at two weeks (t2) and three months (t3) after birth.

RESULTS

Smoking and stress reduced over the 8-week period in both conditions. The intervention effect on smoking was not mediated by stress reduction. Motivation to quit was found to moderate the intervention effect (smoking frequency and quantity) and a dose-response effect was found for program usage in the intervention for the reduction on smoking frequency and quantity.

CONCLUSION

Program usage and motivation to quit are important for smoking reduction in pregnant women. Further research is needed to examine how the intervention could be improved to increase treatment effectiveness.

A Synthesized Model for Applying Stress Management and Biofeedback Interventions in Research Utilization: A Systematic Review and Meta-analysis

Background

Stress management and biofeedback interventions have been shown to be effective in improving mental and physical health outcomes. However, previous research studies and synthesized models for applying these interventions in research utilization are insufficient.

Objective

This study aimed to synthesize a model for applying stress management and biofeedback interventions in research utilization.

Methods

A systematic review and meta-analysis were conducted according to the PRISMA guidelines.Multiple studies were used to assess the effectiveness of applying stress management and biofeedback interventions published from 2017 to 2023. The process included identifying the research questions, conducting a comprehensive literature search, assessing study quality, extracting data, synthesizing the data, analyzing and interpreting the findings, drawing conclusions, and making recommendations.

Results

The results indicated a significant mean effect size without evidence of publication bias. The effect sizes of the subgroups among the study variables were not significantly different [Q = 4.02, p = .26]. However, there were significant differences regarding the mean effect sizes among the studies [Q = 63.59, p < .001] and also in terms of the test of subgroups among the participants [Q = 8.49, p = .04].

Conclusion

The results emphasize the importance of evidence-based practice and highlight the need for ongoing evaluation and refinement of interventions. The proposed model was supported by related theories and research studies in order to ensure the robustness and reliability to guide practice and future research in the field of biofeedback interventions. By following this model, researchers and practitioners can ensure that stress management and biofeedback interventions are evidence-based and are effective in improving mental and physical health outcomes.

Investigating the Role of Race and Stressful Life Events on the Smoking Patterns of Pregnant and Postpartum Women in the United States: A Multistate Pregnancy Risk Assessment Monitoring System Phase 8 (2016-2018) Analysis

OBJECTIVE

To examine the smoking patterns of women who experienced stressful life events and the impact of racial disparities on the relationship between stressful life events, and prenatal/ postpartum smoking.

METHODS

The study analyzed data from the Pregnancy Risk Assessment Monitoring System Phase 8 (2016-2018) survey across five states (CT, LA, MA, MO, WI). Four stressful life event categories were created using thirteen affiliated questions: financial, trauma, partner, and emotional. We assessed: 1) the association between smoking and stressful life events, 2) the impact of race on the relation between smoking and stressful life events, and 3) the long-term effects of smoking on health by assessing the association between smoking and maternal morbidity. Bivariate statistics and multivariate Poisson regression models were conducted.

RESULTS

A total of 24,209 women from five states were included. 8.9% of respondents reported smoking during pregnancy, and 12.7% reported smoking postpartum. There was a significant association between all stressful life events and smoking. Trauma stressful life event had the strongest association with smoking during pregnancy (adjusted PR=2.01; CI: 1.79-2.27) and postpartum (adjusted PR= 1.80; CI: 1.64-1.98). Race and stressful life event interaction effects on smoking had varied significant findings, but at least one racial/ ethnic minority group (Black, Hispanic, Asian) had a higher smoking prevalence than non-Hispanic White per stressful life event category. Lastly, the prevalence of maternal morbidity was higher for smoking during pregnancy (adjusted PR= 1.28; CI: 1.19-1.38) and postpartum (adjusted PR= 1.30; CI: 1.22-1.38) compared to no smoking.

CONCLUSIONS FOR PRACTICE

Culturally congruent, multi-disciplinary care teams are needed to address both clinical and social needs to reduce stressful life events and smoking. Screenings for stress should be standardized with a referral system in place to provide ongoing support.

Psychometric performance assessment of the Arabic version of the pregnancy experience scale-brief version (PES-brief) in an Arabic-speaking population

OBJECTIVE

Although tools exist to assess psychological distress during pregnancy, a scarcity of instruments are designed to measure maternal perceptions of the more positive, uplifting features of pregnancy in addition to the more negative, hassling aspects. To address this shortcoming, DiPietro et al. developed the Pregnancy Experience Scale-Brief (PES-Brief). We aimed to assess the reliability and psychometric performance of an Arabic translation of the PES-Brief among Lebanese pregnant women.

METHODS

The PES-Brief, the Patient Health Questionnaire, the Lebanese Anxiety Scale, and the Multidimensional Scale of Perceived Social Support were administered to 433 participants. PES-Brief scores were computed as frequency and intensity, with Hassles to Uplifts frequency and intensity ratios.

RESULTS

The PES-Brief was internally consistent, with McDonald's ω = 0.87 for Uplifts and 0.81 for Hassles. Higher PES-Uplifts scores were significantly associated with lower depression and anxiety scores, and higher perceived social support; whereas higher PES-Hassles scores showed inverse correlations. The Hassles to Uplifts frequency and intensity ratios were 0.864 and 0.836, respectively, indicating that pregnant women were more uplifted than hassled. The CFA results confirmed the two-factor structure of the scale.

CONCLUSION

Our findings suggest that the Arabic PES-Brief is a psychometrically valid and reliable scale that may be employed as a legitimate indicator of pregnancy-specific uplifts and hassles among Arabic-speaking populations. Our study prompts clinicians and researchers to benefit from this tool for capturing the integral psychological/emotional experience of women during pregnancy, which may facilitate pregnant women's support when needed.

Effect of digital health, biomarker feedback and nurse or midwife-led counselling interventions to assist pregnant smokers quit: a systematic review and meta-analysis

OBJECTIVE

To assess the effect of digital health (DH), biomarker feedback (BF) and nurse or midwife-led counselling (NoMC) interventions on abstinence in pregnant smokers during pregnancy and postpartum.

SETTINGS

Any healthcare setting servicing pregnant women, including any country globally.

PARTICIPANTS

Pregnant women of any social, ethnic or geographical background who smoke.

METHODS

We searched Embase, Medline, Web Of Science, Google Scholar, PsychINFO, CINAHL and PubMed between 2007 and November 2021. We included published original intervention studies in English with comparators (usual care or placebo). Two independent assessors screened and abstracted data. We performed a random-effects meta-analysis, assessed risk of bias with the Cochrane Tool and used Grading of Recommendations Assessment, Development and Evaluation to assess the quality of evidence.

RESULTS

We identified 57 studies and included 54 in the meta-analysis. Sixteen studies assessed DH (n=3961), 6 BF (n=1643), 32 NoMC (n=60 251), 1 assessed NoMC with BF (n=1120) and 2 NoMC with DH interventions (n=2107). DH interventions had moderate certainty evidence to achieve continuous abstinence (CA) at late pregnancy (4 studies; 2049 women; RR=1.98, 95% CI 1.08 to 3.64, p=0.03) and low certainty evidence to achieve point prevalence abstinence (PPA) postpartum (5 studies; 2238 women; RR=1.46, 95% CI 1.05 to 2.02, p=0.02). NoMC interventions had moderate certainty evidence to achieve PPA in late pregnancy (15 studies; 16 234 women; RR=1.54, 95% CI 1.16 to 2.06, p<0.01) and low certainty evidence to achieve PPA postpartum (13 studies; 5466 women; RR=1.79, 95% CI 1.14 to 2.83, p=0.01). Both DH and BF interventions did not achieve PPA at late pregnancy, nor NoMC interventions achieve CA postpartum. The certainty was reduced due to risk of bias, heterogeneity, inconsistency and/or imprecision.

CONCLUSION

NoMC interventions can assist pregnant smokers achieve PPA and DH interventions achieve CA in late pregnancy. These interventions may achieve other outcomes.

The Barriers and Facilitators of eHealth-Based Lifestyle Intervention Programs for People With a Low Socioeconomic Status: Scoping Review

Background

Promoting health behaviors and preventing chronic diseases through a healthy lifestyle among those with a low socioeconomic status (SES) remain major challenges. eHealth interventions are a promising approach to change unhealthy behaviors in this target group.

Objective

This review aims to identify key components, barriers, and facilitators in the development, reach, use, evaluation, and implementation of eHealth lifestyle interventions for people with a low SES. This review provides an overview for researchers and eHealth developers, and can assist in the development of eHealth interventions for people with a low SES.

Methods

We performed a scoping review based on Arksey and O’Malley’s framework. A systematic search was conducted on PubMed, MEDLINE (Ovid), Embase, Web of Science, and the Cochrane Library, using terms related to a combination of the following key constructs: eHealth, lifestyle, low SES, development, reach, use, evaluation, and implementation. There were no restrictions on the date of publication for articles retrieved upon searching the databases.

Results

The search identified 1323 studies, of which 42 met our inclusion criteria. An update of the search led to the inclusion of 17 additional studies. eHealth lifestyle interventions for people with a low SES were often delivered via internet-based methods (eg, websites, email, Facebook, and smartphone apps) and offline methods, such as texting. A minority of the interventions combined eHealth lifestyle interventions with face-to-face or telephone coaching, or wearables (blended care). We identified the use of different behavioral components (eg, social support) and technological components (eg, multimedia) in eHealth lifestyle interventions. Facilitators in the development included iterative design, working with different disciplines, and resonating intervention content with users. Facilitators for intervention reach were use of a personal approach and social network, reminders, and self-monitoring. Nevertheless, barriers, such as technological challenges for developers and limited financial resources, may hinder intervention development. Furthermore, passive recruitment was a barrier to intervention reach. Technical difficulties and the use of self-monitoring devices were common barriers for users of eHealth interventions. Only limited data on barriers and facilitators for intervention implementation and evaluation were available.

Conclusions

While we found large variations among studies regarding key intervention components, and barriers and facilitators, certain factors may be beneficial in building and using eHealth interventions and reaching people with a low SES. Barriers and facilitators offer promising elements that eHealth developers can use as a toolbox to connect eHealth with low SES individuals. Our findings suggest that one-size-fits-all eHealth interventions may be less suitable for people with a low SES. Future research should investigate how to customize eHealth lifestyle interventions to meet the needs of different low SES groups, and should identify the components that enhance their reach, use, and effectiveness.