Developing a Biomarker Feedback Intervention to Motivate Smoking Cessation During Pregnancy: Phase II MAW Study.

INTRODUCTION: The prevalence of smoking during pregnancy for Alaska Native (AN) women is more than triple that of non-Native Alaska women. In this qualitative study, we solicited input from AN women and others to determine how best to present findings from an earlier study demonstrating a strong correlation between biomarkers for maternal smoking (cotinine) and neonatal exposure to a tobacco-specific carcinogen 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol (NNAL) to motivate cessation. METHODS: We developed a brochure incorporating generalized biomarker information. Using in-depth individual interviews with pregnant and postpartum AN women and partners/family members, we explored applicability and acceptability of the information. Postpartum women, who had participated in the earlier correlation study, additionally received their individual biomarker results. We assessed whether being presented general or individual biomarker information would motivate cessation using content analysis. RESULTS: We conducted 39 interviews: 16 pregnant women, 12 postpartum women, and 11 partners/family members. Overall, participants agreed the biomarker information was new, but understandable as presented. Postpartum women shared that learning their personal results inspired them to want to quit or cut back smoking while pregnant women indicated the generalized correlation information was less helpful in motivating cessation. CONCLUSION: Generalized information about fetal exposure to carcinogens may be more effective in motivating pregnant women to quit smoking when combined with individual cotinine testing. IMPLICATIONS: Using feedback from this study, we refined and are currently evaluating an intervention incorporating generalized correlation information from Phase I and cotinine testing to determine its effectiveness in motivating smoking cessation among pregnant AN women.

Fetal Exposure to Carcinogens With Tobacco Use in Pregnancy: Phase 1 MAW Study Findings.

INTRODUCTION: The high prevalence of smoking and smokeless tobacco (ST) use during pregnancy in Alaska Native (AN) women is concerning due to the detrimental effects of these products to the mother and the developing fetus. We sought to correlate maternal cotinine levels with fetal exposure to a tobacco-specific carcinogen to incorporate in a biomarker feedback intervention to motivate tobacco cessation during pregnancy. METHODS: Demographic and tobacco use data were collected from a convenience sample of pregnant AN smokers, ST users, and non-users. Maternal and neonatal urine were collected at delivery. Maternal urine cotinine and neonatal urine total 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol (NNAL, a tobacco-specific carcinogen) levels in smokers and ST users were analyzed and their correlations determined by Spearman correlation coefficients. RESULTS: During 2012-2014, we enrolled 64 non-users, 54 smokers, and 30 ST (20 homemade iqmik; 10 commercial ST) users (n = 148). Analyses of paired maternal-infant urine samples obtained for 36 smokers demonstrated a moderate to strong correlation (r = 0.73, P < .001) between maternal cotinine and infant NNAL levels. The correlation was not significant for 25 iqmik users (r = 0.36, P = .17) or 9 commercial ST users (r = 0.60, P = .09). No analysis was conducted for 55 non-users with cotinine and NNAL levels < limits of quantification. CONCLUSIONS: There is a moderate to strong correlation between maternal smoking and fetal exposure to the tobacco-specific carcinogen NNAL. IMPLICATIONS: The correlation between maternal smoking and fetal carcinogen exposure may provide an education tool to help motivate smoking cessation among pregnant AN women. Further investigation is warranted to determine correlations between maternal commercial ST and iqmik use and neonatal NNAL.

All-cause, cardiovascular, and cancer mortality in western Alaska Native people: western Alaska Tribal Collaborative for Health (WATCH).

OBJECTIVES: We determined all-cause, cardiovascular disease (CVD), and cancer mortality in western Alaska Native people and examined agreement between death certificate information and adjudicated cause of deaths. METHODS: Data from 4 cohort studies were consolidated. Death certificates and medical records were reviewed and adjudicated according to standard criteria. We compared adjudicated CVD and cancer deaths with death certificates by calculating sensitivity, specificity, predictive values, and κ statistics. RESULTS: Men (n = 2116) and women (n = 2453), aged 18 to 95 years, were followed an average of 6.7 years. The major cause of death in men was trauma (25%), followed by CVD (19%) and cancer (13%). The major cause of death in women was CVD (24%), followed by cancer (19%) and trauma (8%). Stroke rates in both genders were higher than those of US Whites. Only 56% of deaths classified as CVD by death certificate were classified as CVD by standard criteria; discordance was higher among men (55%) than women (32%; κs = 0.4 and 0.7). CONCLUSIONS: We found lower rates for coronary heart disease death but high rates of stroke mortality. Death certificates overestimated CVD mortality; concordance between the 2 methods is better for cancer mortality. The results point to the importance of cohort studies in this population in providing data to assist in health care planning.

Biomarker feedback intervention for smoking cessation among Alaska Native pregnant women: Randomized pilot study.

OBJECTIVE: There is some evidence for biomarker feedback when combined with cessation counseling for reducing smoking in pregnancy. This randomized controlled pilot study evaluated feasibility and potential efficacy of a social-cognitive theory (SCT)-based biomarker feedback intervention among pregnant Alaska Native (AN) smokers. METHODS: Participants were randomly assigned to receive three study calls (10-20 min each): (1) biomarker feedback intervention (n = 30) including personalized cotinine results and feedback on their baby's likely exposure to carcinogen metabolite NNAL, or (2) contact control usual care condition based on the 5As (n = 30). Assessments were conducted at baseline, post-treatment, and delivery. RESULTS: High rates of treatment compliance, study retention, and treatment acceptability were observed in both groups. 7-day point prevalence smoking abstinence rates at delivery verified with urinary cotinine were the same in both study groups (20% intent-to-treat analysis, 26% per-protocol). SCT-based measures did not change differentially from baseline by study group. CONCLUSION: This trial supports the feasibility and acceptability of providing biomarker feedback within the clinical care delivery system, but the intervention did not promote increased smoking cessation during pregnancy compared to usual care. PRACTICE IMPLICATIONS: Efforts are needed to promote the usual care and to develop alternative biomarker feedback messaging for pregnant AN women.

Urine 4-(methylnitrosamino)-1-(3) pyridyl-1-butanol and cotinine in Alaska native postpartum women and neonates comparing smokers and smokeless tobacco users.

OBJECTIVE: Foetuses and neonates of women who use tobacco are exposed to nicotine and tobacco-derived carcinogens. We determined the relationship between urine biomarkers of tobacco toxicant exposure postpartum and in the neonates of Alaska Native (AN) women, comparing smokers and smokeless tobacco (ST) users, including iqmik, a homemade ST product. METHODS: AN women, including 36 smokers, 9 commercial ST and 16 iqmik users their neonates participated. Urine from the woman at the time of delivery and her neonate's first urine were analysed for cotinine, the major metabolite of nicotine, and 4-(methylnitrosamino)-1-(3) pyridyl-1-butanol (NNAL), a tobacco-specific carcinogen biomarker. RESULTS: Maternal urine cotinine and neonatal urine cotinine were strongly correlated in all tobacco use groups (r from 0.83 to 0.9, p < 0.002). Correlations between maternal cotinine and neonatal NNAL were moderately strong for cigarettes and commercial smokeless but weaker for iqmik users (r 0.73, 0.6 and 0.36, respectively). CONCLUSION: Correlations between maternal and neonatal biomarkers of tobacco toxicant exposure vary, dependent on tobacco product use. SIGNIFICANCE: This study provides novel data on biomarkers of tobacco exposure among postpartum AN women and their neonates. The results could be useful to guide future epidemiological studies of health risks associated with use of various tobacco products during pregnancy.

Utilizing harmonization and common surveillance methods to consolidate 4 cohorts: the Western Alaska Tribal Collaborative for Health (WATCH) study.

BACKGROUND: According to health status reports, chronic disease prevalence appears to be rising in western Alaska Native (AN) people, and accurate population-based data are needed. Four cohort studies of western AN people were conducted in the Norton Sound and Yukon-Kuskokwim regions, but none have been large enough to allow reliable estimates of rates of chronic diseases and evaluate their risk factors. OBJECTIVE: In this article, the methods used to combine 4 major cohort studies of rural western AN people are described and the benefits and challenges encountered in combining data and standardizing surveillance methods for these studies are discussed. DESIGN: Tribal permission was obtained for each cohort study and the consolidated study. Data from baseline exams were directly combined or harmonized into new variables. Common surveillance methods were developed and implemented to identify incidence and risk factors for cardiovascular disease (CVD) events and type 2 diabetes. RESULTS: A cohort of 4,569 western AN participants (2,116 men and 2,453 women), aged 18-95 years, was established to study CVD and diabetes prevalence. Prospective surveillance data over an average 6.7-year follow-up can now be used to study CVD and diabetes incidence and associated risk factors in a subset of 2,754 western AN participants (1,218 men and 1,536 women) who consented to initial surveillance. CONCLUSIONS: The combined cohort provides statistical power to examine incidence rates and risk factors for CVD and diabetes and allows for analyses by geographic region. The data can be used to develop intervention programmes in these populations and others.