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How do we Measure Secondhand Smoke Exposure?

Dr. Erika Avila Tang
Department of Epidemiology
Institute for Global Tobacco Control
FAMRI Expert SHSe Assessment

 Goal:
    To catalogue the approaches for Secondhand Smoke exposure (SHSe) assessment
    Provide a set of uniform methods for future use to facilitate comparisons of findings
         across studies

 Comprehensive topic assessments on:
    Questionnaires and self-reported methods
    Biological samples
    Environmental samples
 Flight Attendant Medical Research Institute (FAMRI) Centers of Excellence
    American Academy of Pediatrics Julius B. Richmond, Illinois, USA
    Johns Hopkins University, Maryland, USA
    University of California, San Francisco Bland Lane, California, USA
    More than 20 researchers on SHSe assessment involved


                                                                                         2
Why would we want to measure SHSe?

 SHSe is a key element of tobacco control
  research and implementation worldwide
     To estimate the SHSe overall burden of disease
     To determine the risks associated with SHSe
     To assess population trends in support of and
      evaluate tobacco control policies
     To support and evaluate behavioral interventions
Topic assessments

 Questionnaires and self-reported methods
 Biological samples
 Environmental samples




                                             4
Self-reported methods of assessment

 Questionnaires
  Most commonly used
  Inexpensive and feasible for large studies
  Assessment of :
         Current and long-term exposure

         Time-activity patterns
     Recall can be an issue

 Diaries
  Recall burden is reduced but respondent’s           burden is increased
         E.g. Report over the past day vs. past week/month

         Higher awareness of instances of exposure
Accuracy: validity and reliability

 Review of studies assessing the validity and/or
  reliability of questions
 Validation of questions against a “gold
  standard”:
     Air measurement
     Biomarker

 Reliability=repeatability



                                                    6
Conclusions for questionnaires and self-
reported methods
 Reliable responses for SHSe in their lifetime, childhood,
  and current among adults.
 For children, CPD from parents, in their presence, and in
  places
 Research on testing the accuracy of questions are still
  needed
      Current exposure for adults and children, including intensity and
       duration of exposure
      Exposure at home, in transport, and in social settings

 Collaboration of FAMRI CoEs: AAP Richmond, Johns
  Hopkins, and UCSF Bland Lane are testing questions in
  pilot studies to continue building a set of core questions


                                                                      7
Topic assessments

 Questionnaires and self-reported methods
 Biological samples
 Environmental samples




                                             8
Biomarkers

 Tobacco-specific biomarkers
    Cotinine
        Reflects recent SHSe (t1/2 16 hours (average))
     Nicotine/cotinine in hair or toenails
        Reflects “longer exposure”: 1 cm of hair proximal to the
         scalp ≈ last month’s exposure; 1 mm ≈ last month’s
         exposure
     NNAL (4-[methylnitrosamino]-1-[3-pyridyl]-1-butanol)
        Reflects “longer exposure” (t1/2 up to 3 weeks)



                                                                    9
Biomarker- Cotinine
  Matrix            Cut-off               Pros                    Cons
   Urine       50 ng/ml for higher   Higher           Need of facilities with
Non-invasive         SHSe             concentrations    privacy during collection
                                      than other       Difficulty for population-
                                      matrices          based or children studies
                                      (higher          Need for creatinine
                                      sensitivity)      clearance adjustment
                                                       Collect data on renal
                                                        disease and some
                                                        prescription drugs
   Blood       12 ng/ml for higher   No adjustment    Pregnant women have
  Invasive           SHSe             required for      increased clearance rate
                                      hydration        Difficulty for infants and
                3 ng/ml for lower                       young children
                     SHSe                              Lower sensitivity
  Saliva       14 ng/ml for higher   Good for         Potential issues with age,
Non-invasive         SHSe             multiple          gender, race, oral pH, type
                                      measurements      of diet, dehydration, or
                                      over a limited    drug treatment
                                      period of time   Lower sensitivity

                                                                                10
Biomarker- Nicotine/Cotinine

  Matrix        Cut-off              Pros                           Cons
   Hair        0.8 ng/mg  Easy to collect, ship, and    Scarcity of hair in infants
Non-invasive   (Women)     store (room temperature ≤ 5    and adults
                           years)                        Chemical hair treatments
               0.2 ng/mg Less affected by daily          can reduce concentrations
               (Pregnant) variability (fluctuating        by 9%-30%
                           exposure, varying             Age, gender, and race may
               0.2 ng/mg   metabolism, and nicotine       play roles in determining
               (Children)  elimination)                   hair nicotine concentrations
                          Represents longer exposure
 Toenails         Not     Easy to collect, ship, and    Need for further research
Non-invasive    available  store (room temperature ≤      and population
                           20 years)                      concentrations
                          Overcomes day-to-day
                           exposure variability
                          Represents longer exposure




                                                                                  11
Biomarker- NNAL
Matrix   Cut-off                Pros                         Cons
Urine      Not       Related to a lung carcinogen Analytical expertise
         available   Represents longer exposure Costly equipment
                      than cotinine                NNAL is carcinogenic and
                      (urine/blood/saliva)          mutagenic, special lab
                                                    handling
                                                   Further research needed




                                                                        12
Topic assessments

 Questionnaires and self-reported methods
 Biological samples
 Environmental samples




                                             13
Environmental measurements

 Most widely used methods:
   Nicotine: passive air monitor
   Particulate matter (< 2.5µ (PM2.5)) monitor
 Correlation between nicotine and PM when
  measured in the same setting using a common
  sampling period
      An increase in 1 µg/m3 of nicotine concentration ≈ an
       average increase of 10 µg/m3 of PM




                                                          14
Air nicotine monitoring

 Highly specific to tobacco smoke
 Monitors (1-3) placed in each venue (hung from the
  ceiling) for 5 to14 days

 Filters are soaked in a bi-sodium sulfate solution that
  captures nicotine on the filter
 No expensive equipment to buy
  up front and minimal operating
  cost but requires lab analysis
      Per sample laboratory costs
       including the filter badge are
       ~$40-$100 USD
Particulate matter monitoring

 Active, real-time monitor
    Uses light scattering to measure particulate
       matter concentrations (e.g. PM2.5)
      Air quality standards makes easier
       dissemination
      Other causes of indoor air particles


 High initial investment
    ~3,000 USD
    Minimal operating cost
    No per sample costs
    Potential costs in labor for data analysis
Overall findings

 Questionnaires are the most effective way to know if
  people are exposed – but not how much they are exposed
 Research on testing the accuracy of questions are still
  needed
 Choice of any SHSe assessment method depends on your
  needs
      Study’s objectives, subjects, design and setting and funding
      Selection of a biomarker will dependent on:
           Issues of privacy, invasiveness, and subject’s age

           The length of SHSe may result in selecting hair or toenails over bio-
            fluids


                                                                                17
Acknowledgements
  Wael       Al-Delaimy   Melbourne Hovell
  Benjamin   Apelberg     Andrew     Hyland
  David      Ashley       Sungroul   Kim
  Erika      Avila-Tang   Jonathan   Klein
  Neil       Benowitz     Neil       Klepeis
  Thomas     Bernert      Robert     McMillen
  Dana       Best         James      Repace
  Patrick    Breysse      Jonathan   Samet
  Michael    Cummings     Jonathan   Winickoff
  Geoffrey   Fong         Ana        Navas-Acien
  Lara       Gundel       Lisa       Hepp
  Kathie     Hammond      Jessica    Elf
  Stephen    Hecht        Camille    Madsen

                                                   18

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S25 2 how do we measure secondhand smoke- erika avila-tang

  • 1. How do we Measure Secondhand Smoke Exposure? Dr. Erika Avila Tang Department of Epidemiology Institute for Global Tobacco Control
  • 2. FAMRI Expert SHSe Assessment  Goal:  To catalogue the approaches for Secondhand Smoke exposure (SHSe) assessment  Provide a set of uniform methods for future use to facilitate comparisons of findings across studies  Comprehensive topic assessments on:  Questionnaires and self-reported methods  Biological samples  Environmental samples  Flight Attendant Medical Research Institute (FAMRI) Centers of Excellence  American Academy of Pediatrics Julius B. Richmond, Illinois, USA  Johns Hopkins University, Maryland, USA  University of California, San Francisco Bland Lane, California, USA  More than 20 researchers on SHSe assessment involved 2
  • 3. Why would we want to measure SHSe?  SHSe is a key element of tobacco control research and implementation worldwide  To estimate the SHSe overall burden of disease  To determine the risks associated with SHSe  To assess population trends in support of and evaluate tobacco control policies  To support and evaluate behavioral interventions
  • 4. Topic assessments  Questionnaires and self-reported methods  Biological samples  Environmental samples 4
  • 5. Self-reported methods of assessment  Questionnaires  Most commonly used  Inexpensive and feasible for large studies  Assessment of :  Current and long-term exposure  Time-activity patterns  Recall can be an issue  Diaries  Recall burden is reduced but respondent’s burden is increased  E.g. Report over the past day vs. past week/month  Higher awareness of instances of exposure
  • 6. Accuracy: validity and reliability  Review of studies assessing the validity and/or reliability of questions  Validation of questions against a “gold standard”:  Air measurement  Biomarker  Reliability=repeatability 6
  • 7. Conclusions for questionnaires and self- reported methods  Reliable responses for SHSe in their lifetime, childhood, and current among adults.  For children, CPD from parents, in their presence, and in places  Research on testing the accuracy of questions are still needed  Current exposure for adults and children, including intensity and duration of exposure  Exposure at home, in transport, and in social settings  Collaboration of FAMRI CoEs: AAP Richmond, Johns Hopkins, and UCSF Bland Lane are testing questions in pilot studies to continue building a set of core questions 7
  • 8. Topic assessments  Questionnaires and self-reported methods  Biological samples  Environmental samples 8
  • 9. Biomarkers  Tobacco-specific biomarkers  Cotinine  Reflects recent SHSe (t1/2 16 hours (average))  Nicotine/cotinine in hair or toenails  Reflects “longer exposure”: 1 cm of hair proximal to the scalp ≈ last month’s exposure; 1 mm ≈ last month’s exposure  NNAL (4-[methylnitrosamino]-1-[3-pyridyl]-1-butanol)  Reflects “longer exposure” (t1/2 up to 3 weeks) 9
  • 10. Biomarker- Cotinine Matrix Cut-off Pros Cons Urine 50 ng/ml for higher Higher Need of facilities with Non-invasive SHSe concentrations privacy during collection than other Difficulty for population- matrices based or children studies (higher Need for creatinine sensitivity) clearance adjustment Collect data on renal disease and some prescription drugs Blood 12 ng/ml for higher No adjustment Pregnant women have Invasive SHSe required for increased clearance rate hydration Difficulty for infants and 3 ng/ml for lower young children SHSe Lower sensitivity Saliva 14 ng/ml for higher Good for Potential issues with age, Non-invasive SHSe multiple gender, race, oral pH, type measurements of diet, dehydration, or over a limited drug treatment period of time Lower sensitivity 10
  • 11. Biomarker- Nicotine/Cotinine Matrix Cut-off Pros Cons Hair 0.8 ng/mg Easy to collect, ship, and Scarcity of hair in infants Non-invasive (Women) store (room temperature ≤ 5 and adults years) Chemical hair treatments 0.2 ng/mg Less affected by daily can reduce concentrations (Pregnant) variability (fluctuating by 9%-30% exposure, varying Age, gender, and race may 0.2 ng/mg metabolism, and nicotine play roles in determining (Children) elimination) hair nicotine concentrations Represents longer exposure Toenails Not Easy to collect, ship, and Need for further research Non-invasive available store (room temperature ≤ and population 20 years) concentrations Overcomes day-to-day exposure variability Represents longer exposure 11
  • 12. Biomarker- NNAL Matrix Cut-off Pros Cons Urine Not Related to a lung carcinogen Analytical expertise available Represents longer exposure Costly equipment than cotinine NNAL is carcinogenic and (urine/blood/saliva) mutagenic, special lab handling Further research needed 12
  • 13. Topic assessments  Questionnaires and self-reported methods  Biological samples  Environmental samples 13
  • 14. Environmental measurements  Most widely used methods:  Nicotine: passive air monitor  Particulate matter (< 2.5µ (PM2.5)) monitor  Correlation between nicotine and PM when measured in the same setting using a common sampling period  An increase in 1 µg/m3 of nicotine concentration ≈ an average increase of 10 µg/m3 of PM 14
  • 15. Air nicotine monitoring  Highly specific to tobacco smoke  Monitors (1-3) placed in each venue (hung from the ceiling) for 5 to14 days  Filters are soaked in a bi-sodium sulfate solution that captures nicotine on the filter  No expensive equipment to buy up front and minimal operating cost but requires lab analysis  Per sample laboratory costs including the filter badge are ~$40-$100 USD
  • 16. Particulate matter monitoring  Active, real-time monitor  Uses light scattering to measure particulate matter concentrations (e.g. PM2.5)  Air quality standards makes easier dissemination  Other causes of indoor air particles  High initial investment  ~3,000 USD  Minimal operating cost  No per sample costs  Potential costs in labor for data analysis
  • 17. Overall findings  Questionnaires are the most effective way to know if people are exposed – but not how much they are exposed  Research on testing the accuracy of questions are still needed  Choice of any SHSe assessment method depends on your needs  Study’s objectives, subjects, design and setting and funding  Selection of a biomarker will dependent on:  Issues of privacy, invasiveness, and subject’s age  The length of SHSe may result in selecting hair or toenails over bio- fluids 17
  • 18. Acknowledgements Wael Al-Delaimy Melbourne Hovell Benjamin Apelberg Andrew Hyland David Ashley Sungroul Kim Erika Avila-Tang Jonathan Klein Neil Benowitz Neil Klepeis Thomas Bernert Robert McMillen Dana Best James Repace Patrick Breysse Jonathan Samet Michael Cummings Jonathan Winickoff Geoffrey Fong Ana Navas-Acien Lara Gundel Lisa Hepp Kathie Hammond Jessica Elf Stephen Hecht Camille Madsen 18