Spanish
Albanian
Arabic
Armenian
Azerbaijani
Belarusian
Bengali
Bosnian
Catalan
Czech
Danish
Deutsch
Dutch
English
Estonian
Finnish
Français
Greek
Haitian Creole
Hebrew
Hindi
Hungarian
Icelandic
Indonesian
Irish
Italian
Japanese
Korean
Latvian
Lithuanian
Macedonian
Mongolian
Norwegian
Persian
Polish
Portuguese
Romanian
Russian
Serbian
Slovak
Slovenian
Spanish
Swahili
Swedish
Turkish
Ukrainian
Vietnamese
Български
中文(简体)
中文(繁體)
Journal of insurance medicine (New York, N.Y.) 2014

Demographic predictors of false negative self-reported tobacco use status in an insurance applicant population.

Solo los usuarios registrados pueden traducir artículos
Iniciar sesión Registrarse
El enlace se guarda en el portapapeles.
James Palmier
Brian Lanzrath
Ammon Dixon
Oluseun Idowu

Palabras clave

Abstracto

OBJECTIVE

To identify and quantify demographic correlates of false-negative self-reporting of tobacco use in life insurance applicants.

BACKGROUND

Several studies have assessed the sensitivity of self-reporting for tobacco use in various populations, but statistical examination of the causes of misreporting has been rarer. The very large (488,000 confirmed tobacco users) sample size, US-wide geographic scope, and unique incentive structure of the life insurance application process permit more robust and insurance industry-specific results in this study.

METHODS

Approximately 6.2 million life insurance applicants for whom both tobacco-use interview questions and a confirmatory urine cotinine test were completed between 1999 and 2012 were evaluated for consistency between self-reported and laboratory-confirmed tobacco-use status. The data set was subjected to logistic regression to identify predictors of false negative self-reports (FNSR).

RESULTS

False-negative self-reporting was found to be strongly associated with male gender, applicant ages of less than 30 or greater than 60, and low cotinine positivity rates in the applicant's state of residence. Policy face value was also moderately predictive, values above $500,000 associated with moderately higher FNSR.

CONCLUSIONS

The findings imply that FNSR in life insurance applicants may be the result of complex interactions among financial incentives, geography and presumptive peer groups, and gender.

Únete a nuestra
página de facebook

La base de datos de hierbas medicinales más completa respaldada por la ciencia

  • Funciona en 55 idiomas
  • Curas a base de hierbas respaldadas por la ciencia
  • Reconocimiento de hierbas por imagen
  • Mapa GPS interactivo: etiquete hierbas en la ubicación (próximamente)
  • Leer publicaciones científicas relacionadas con su búsqueda
  • Buscar hierbas medicinales por sus efectos.
  • Organice sus intereses y manténgase al día con las noticias de investigación, ensayos clínicos y patentes.

Escriba un síntoma o una enfermedad y lea acerca de las hierbas que podrían ayudar, escriba una hierba y vea las enfermedades y los síntomas contra los que se usa.
* Toda la información se basa en investigaciones científicas publicadas.

Google Play badgeApp Store badge