Obesity, indicated by Body Mass Index (BMI), is a risk factor for type 2 diabetes. However, its association with glycated hemoglobin (HbA1c), a crucial indicator of blood-sugar control, may vary across different populations and disease statuses. Data from the National Health and Nutrition Examination Survey (NHANES) 2017–2018 were analyzed. Participants aged 18–79 years with complete information on BMI, diabetes status, and HbA1c were included (n = 4003). Linear regression models were used to assess the association between BMI and HbA1c, adjusting for demographic confounders, smoking status, alcohol consumption, and healthcare access. Among participants without diabetes, BMI was positively associated with HbA1c levels (coefficient: 0.015, 95% CI: 0.01, 0.02; p-value < 0.05), after adjusting for potential confounders. However, this association was not significant among those with diabetes (coefficient: −0.005, 95% CI: −0.05, 0.04; p-value > 0.1). Our findings suggest a differential relationship between BMI and HbA1c in individuals with and without diabetes. While BMI remains a significant predictor of HbA1c in non-diabetic individuals, its significance diminishes in those with diabetes.

Diet behavior and nutrition are critical for maintaining health and improving quality of life. Cigarette smoking remains the leading cause of preventable death in the United States. Poor dietary choices, such as excessively frequenting restaurants, consuming ready-to-eat foods from grocery stores, and ingesting ultra-processed foods (like frozen meals and pizzas), can adversely impact health. Despite this, research comparing dietary behaviors between smokers and non-smokers is limited. Using data from the National Health and Nutritional Examination Survey 2017–2018, we analyzed diet behavior based on smoking status. Our findings reveal that smokers had a significant increase (90%) in the frequency of consuming frozen meals/pizzas in the past 30 days compared to non-smokers (coefficient: 1.9; 95% CI: 1.4, 2.6; p-value < 0.001). Additionally, over 70% of participants, regardless of their smoking status, were unaware of MyPlate, a nutritional guide created by the United States Department of Agriculture (USDA) to encourage Americans to make healthier food choices. There is an urgent need to increase public awareness of MyPlate and promote a better understanding of healthy dietary behaviors.

Purpose: Determine whether dual tobacco users have different levels of knowledge about nicotine addiction, perceived harm beliefs of low nicotine cigarettes (LNCs) and beliefs about electronic cigarettes (e-cigarettes) Design: Quantitative, Cross-sectional Setting: Health Information National Trends Survey 5 (Cycle 3, 2019) Participants: Nationally representative adult non-smokers (n=3113), exclusive cigarette smokers (n=302), and dual (cigarette and e-cigarette) users (n=77). Measures: The survey included single item measures on whether nicotine causes addiction and whether nicotine causes cancer. A five-point Likert scale assessed comparative harm of e-cigarettes and LNCs relative to conventional combustible cigarettes (1=much more harmful, 3=equally harmful…5 = much less harmful, or don’t know). Analysis: We used weighted multiple linear regression model to estimate means and 95% confidence intervals (CI) of e-cigarettes and LNCs beliefs by current tobacco user status. Results: Over 97% of dual users, 83% of non-smokers and 86% of exclusive cigarette smokers correctly identified that nicotine is addictive. The majority of subjects incorrectly identified nicotine as a cause of cancer, with dual users having the lowest proportion of incorrect responses (60%). Dual users rated e-cigarette harmfulness as less harmful than combustibles (mean=2.20; 95% CI=1.73, 2.66) while exclusive cigarette smokers and non-smokers rated them as similarly harmful. LNCs were considered equally harmful and addictive as conventional cigarettes. Conclusion: Dual users had a higher knowledge base of tobacco-related health effects. The effectiveness of policies or medical recommendations to encourage smokers to switch from cigarettes to LNCs or e-cigarettes will need to consider accurate and inaccurate misperceptions about the harm and addictiveness of nicotine. Improved public health messages about different tobacco products are needed.

Objective: The aim of this study was to assess and compare knowledge of the health consequences of heavy alcohol consumption among individuals with different substance use statuses. Methods: We used a cross-sectional study design to analyze the Health Information National Trends Survey (HINTS) 5, Cycle 3 (2019). Participants were classified into four categories based on their substance use status: (a) nonsmoker and nondrinkers; (b) nonsmokers but drinkers; (c) smokers but nondrinkers; and (d) smokers and drinkers. Weighted logistic regression models were utilized to evaluate the association between knowledge of heavy alcohol consumption and health conditions by participants’ substance use status. Results: More than 79% of participants were aware that drinking too much alcohol causes liver disease. However, less than 40% of them realized that heavy alcohol consumption also contributes to cancer. The odds of correctly identifying heavy alcohol consumption as a risk factor for diabetes were 3.00 times (95% confidence interval (CI): 1.29,7.00) higher among smokers but nondrinkers than smokers and alcohol drinkers. Education level was significantly associated with participants’ awareness of risk factor (p < 0.01). Discussion: There is an urgent need for targeted educational campaigns and interventions to increase understanding of the impact of heavy alcohol consumption on cancer risk.

Background: The US FDA announced its commitment to prohibiting menthol as a characterizing flavor in tobacco. The relationship between cigarette menthol and exposure to toxic substances in mainstream tobacco smoke is not well characterized. Methods: Data from the National Health and Nutrition Examination Survey (NHANES) 2015 to 2016 special sample were used to study markers of 26 harmful and potentially harmful constituents (HPHC) in tobacco smoke. These include urine metabolites of polycyclic aromatic hydrocarbons (PAH), volatile organic compounds (VOC), and heavy metals in exclusive menthol (n = 162) and nonmenthol (n = 189) cigarette smokers. Urine metabolites of 7 PAHs, 15 VOCs, and 4 heavy metal biomarkers were compared by menthol status. Multivariable analyses were conducted on creatinine-adjusted concentrations. Results: There were no significant differences in cotinine levels or in 22 of 26 HPHCs. Among the urine metabolites of PAHs, the levels of 1-hydroxyphenanthrene were about 16% lower in menthol smokers. Among the urine metabolites of VOCs, menthol cigarette smokers presented significantly lower concentrations of acrylamide, N,N-dimethylformamide, and acrylonitrile. Menthol and nonmenthol smokers presented similar levels of heavy metals. Menthol did not affect the levels of cotinine and the nicotine metabolite ratio in urine. Conclusions: Menthol and nonmenthol cigarettes deliver similar levels of most HPHCs. Impact: Findings on toxicity are similar for menthol and nonmenthol cigarettes.