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Assessment of Smoking, Vaping, and Alcohol Consumption Behavior

Online Survey to Assess Smoking, Vaping, and Alcohol Consumption Behavior in the Population

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT04150510
Enrollment
3245
Registered
2019-11-04
Start date
2020-02-01
Completion date
2020-11-06
Last updated
2021-04-19

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Alcohol Drinking, E-Cig Use, Food Intake, Smoking Behaviors, Survey, Vaping

Brief summary

To assess smoking, vaping, and alcohol consumption behaviors via online surveys in the population. Further, the objective is to administer additional surveys to assess which methods (e.g., pen-and-paper records, a smartphone app) for monitoring smoking, vaping, alcohol intake, and food intake are preferred by the study population.

Detailed description

Many smokers believe that smoking helps them to control their weight, and concerns about weight gain can interfere with smoking cessation. In fact, nicotine has been shown to suppress appetite and increase resting metabolic rate, and smoking also serves as a behavioral alternative to eating or a distraction from hunger or food cravings. E-cigarettes are frequently marketed as the safer and healthier alternative to smoking, and some e-cigarettes are in fact actively advertised for weight management and/or suppression of food cravings, encouraging smokers to make the switch. In contrast, alcohol consumption has been shown to increase appetite and food intake and at the same time is associated with smoking and vaping. Therefore, it is possible that participants who smoke or vape for weight control, particularly those who also regularly consume alcohol, would benefit from a lifestyle program that encompasses dietary counseling and exercise to prevent weight gain after smoking cessation. Additionally, methods to assess smoking, vaping, alcohol intake, and food intake (i.e., ingestive behaviors) historically relied on self-report, though the investigator's group has developed smartphone apps that allow people to capture images of their intake and/or self-report their intake in the app. App-based methods offer advantages, including the real-time transfer of data, and it is presumed that people will believe that apps are an easier and preferred method to capture ingestive behaviors, yet this assumption has not yet been thoroughly examined.

Interventions

None listed

Sponsors

Pennington Biomedical Research Center
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
OTHER

Eligibility

Sex/Gender
ALL
Age
18 Years to 85 Years
Healthy volunteers
Yes

Inclusion criteria

* Individuals aged 18 to 85 years are eligible to complete the Demographics Questionnaire and the Food Intake Assessment Preference Questionnaire. * Individuals in the same age range who regularly smoke cigarettes can complete the Smoking Questionnaire and the Smoking Assessment Preference Questionnaire, in addition to the Demographics Questionnaire and the Food Intake Assessment Preference Questionnaire * Individuals in the same age range who regularly use e-cigarettes (vape) can complete the Vaping Questionnaire and the Vaping Assessment Preference Questionnaire, in addition to the Demographics Questionnaire and the Food Intake Assessment Preference Questionnaire * Individuals in the same age range who regularly drink alcohol can complete the Alcohol Consumption Questionnaire and the Alcohol Consumption Assessment Preference Questionnaire, in addition to the Demographics Questionnaire and the Food Intake Assessment Preference Questionnaire Individuals who engage in several of these behaviors can complete all questionnaires that apply.

Exclusion criteria

• Individuals who are unwilling to participate in this survey

Design outcomes

Primary

MeasureTime frameDescription
Alcohol consumptionDay of survey completion, up to 12 monthsalcohol consumption status, history, frequency, amount, cues, motivation to quit/reduce consumption, and the effect of alcohol consumption on food cravings
Demographic dataDay of survey completion, up to 12 monthsage, sex, race/ethnicity, marital status, education, employment status, household income, zip code, height and weight, the prevalence of cardiovascular risk factors and cancer, and food security status
Smoking behaviorDay of survey completion, up to 12 monthssmoking status, history, frequency, amount, cues, motivation to quit, and potential factors affecting the decision to quit including the effect of smoking on food cravings
Vaping behaviorDay of survey completion, up to 12 monthsvaping status, history, frequency, amount, cues, motivation to quit and potential factors affecting the decision to quit including the effect of vaping on food cravings

Secondary

MeasureTime frameDescription
Smoking Assessment PreferenceDay of survey completion, up to 12 monthsThis questionnaire assesses the willingness to use different methods to monitor smoking behavior such as a pen-and-paper record or a smartphone app
Vaping Assessment PreferenceDay of survey completion, up to 12 monthsThis questionnaire assesses the willingness to use different methods to monitor vaping behavior such as a pen-and-paper record or diary, a 24-hour recall, or a smartphone app
Alcohol Consumption Assessment PreferenceDay of survey completion, up to 12 monthsThis questionnaire assesses the willingness to use different methods to monitor alcohol consumption such as a pen-and-paper record or diary, a 24-hour recall, or smartphone app-based methods (remote photography or in-app self-estimation of drink sizes)
Food Intake Assessment Preference QuestionnaireDay of survey completion, up to 12 monthsThis questionnaire assesses the willingness to use different methods to monitor food intake such as a pen-and-paper record or diary, a 24-hour recall, or smartphone app-based methods (remote food photography or in-app self-estimation of portion sizes)

Countries

United States

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026