Exploring the impact of missing data on maternal tobacco program results: an analysis of self-efficacy on smoking cessation.

ABSTRACT:

Background

Tobacco use is a major contributor to chronic illnesses worldwide, leading to significant morbidity and mortality. Effective tobacco cessation programs are crucial in reducing the health risks associated with smoking. This study aims to investigate the relationship between confidence scores, indicating individuals' confidence in quitting smoking on a scale of 0 to 10, and carbon monoxide (CO) levels over time among participants in the North Dakota State Department of Health Maternal Tobacco Program.

Methods

We analyzed data from 226 participants, who enrolled in the program between August 2020 and February 2023, using linear mixed-effects models and accounted for missing data using complete case analysis, multiple imputation under a missing at random (MAR) assumpt

SUBMITTER: Zhao M 

PROVIDER: S-EPMC12506506 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature