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Determinants of e-cigarette use and intention to use in Scottish Adolescents Dr Catherine Best Professor Sally Haw School of Health Sciences University of Stirling

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Page 1: Determinants of e-cigarette use and intention to use in Scottish Adolescents Dr Catherine Best Professor Sally Haw School of Health Sciences University

Determinants of e-cigarette use and intention to use in Scottish Adolescents

Dr Catherine BestProfessor Sally Haw

School of Health SciencesUniversity of Stirling

Page 2: Determinants of e-cigarette use and intention to use in Scottish Adolescents Dr Catherine Best Professor Sally Haw School of Health Sciences University

DISPLAY project

• Determining the Impact of Smoking Point of sale Legislation Among Youth (DISPLAY)

• Under Section 1 of the Tobacco and Primary Medical Services (Scotland) Act 2010, it is an offence: To display tobacco products or tobacco related products in places where tobacco

products are offered for sale Retailers will be required to conceal cigarettes from general view, either by covering up

cigarette gantries/dispensers or by storing cigarettes under the counter.

• Scotland POS ban April 2013 supermarketsPOS ban April 2015 small shops

Page 3: Determinants of e-cigarette use and intention to use in Scottish Adolescents Dr Catherine Best Professor Sally Haw School of Health Sciences University

Point of sale displays

Page 4: Determinants of e-cigarette use and intention to use in Scottish Adolescents Dr Catherine Best Professor Sally Haw School of Health Sciences University

Study Design Multi-modal before and after study using mixed methods in four purposively selected communities:

Data collection at baseline and longitudinal follow-up for 4 years

Communities defined as Secondary School Catchment and chosen to reflect 2 levels of rurality (urban vs small town) and 2 levels of deprivation (high vs medium to low) Selected from :

Has school roll of 1200+ Located in central belt of Scotland Non denominational Minority ethnic population of < 10%

Page 5: Determinants of e-cigarette use and intention to use in Scottish Adolescents Dr Catherine Best Professor Sally Haw School of Health Sciences University

Study Components

1. Annual mapping study of

tobacco retail outlets

2. Annual tobacco advertising and marketing audit

3. Annual cross-sectional school survey with embedded cohort

of school children

4. Annual focus group interviews with

purposive samples of school children

Page 6: Determinants of e-cigarette use and intention to use in Scottish Adolescents Dr Catherine Best Professor Sally Haw School of Health Sciences University

E-cig Point of Sale Displays

Page 7: Determinants of e-cigarette use and intention to use in Scottish Adolescents Dr Catherine Best Professor Sally Haw School of Health Sciences University

E cigarettes

• 2014 e-cigarettes added to survey (n=1404, S2 & S4) and retail audit (n=96)‘An e-cigarette is a tube that looks like or is similar

to a normal cigarette. An e-cigarette may have a glowing tip and puffs a vapour that looks like smoke but unlike normal cigarettes, they don’t burn tobacco’.

Heard of them Yes 74.7%, No 17.9% DK 7.3%Tried e-cigs -Yes 17.3%Will try next 6 months - Yes 6.8%

Page 8: Determinants of e-cigarette use and intention to use in Scottish Adolescents Dr Catherine Best Professor Sally Haw School of Health Sciences University

E-cig Point of Sale Displays

Page 9: Determinants of e-cigarette use and intention to use in Scottish Adolescents Dr Catherine Best Professor Sally Haw School of Health Sciences University

Does exposure to cigarette brands increase the likelihood of adolescent e-cigarette use?

Predictors• Current smoking• Never smoking• Frequency of visits to retail

outlets• Cig brand recognition• Tobacco retail outlet density• Frequency hanging round

street or park

Control for • Family Affluence Scale• Age• Gender• Ethnic group

Page 10: Determinants of e-cigarette use and intention to use in Scottish Adolescents Dr Catherine Best Professor Sally Haw School of Health Sciences University

Analysis

• Logistic regression Stata version 13• Purposeful selection• Nested likelihood ratio testing• Robust standard errors to account for

clustering by community• α =0.01

Page 11: Determinants of e-cigarette use and intention to use in Scottish Adolescents Dr Catherine Best Professor Sally Haw School of Health Sciences University

Logistic regression on tried e-cig Variable Model 1 Odds ratio

(99% CI)

Model 2 Odds ratio

(99 % CI)

Current smoker

Not current smoker

4.50 (1.27 to 15.96)

1

6.10 (1.19 to 31.22)

1

Never smoked

Ever smoked

Brand recognition

Gender male

female

Family Affluence Scale (1 low)

Family Affluence Scale (2 med)

Family Affluence Scale (3 high)

White ethnic group

Other ethnic group

Age in years

0.11 (0.05 to 0.24)

1

1.23 (1.11 to 1.37)

0.10 (0.05 to 0.20)

1

1.21 (1.06 to 1.39)

1

0.99 (0.42 to 2.31)

1

1.34 (0.74 to 2.45)

0.87 (0.21 to 3.63)

1

1.83 (0.63 to 7.93)

0.99 (0.42 to 2.31)

Page 12: Determinants of e-cigarette use and intention to use in Scottish Adolescents Dr Catherine Best Professor Sally Haw School of Health Sciences University

Logistic regression on intention to tryVariable Model 1Odds ratio

(99% CI)

Model 2 Odds ratio

(99% CI)

Current smoker

Not current smoker

3.22 (1.07 to 9.72)

1

4.69 (0.45 to 48.80)

1

Never smoked

Ever smoked

0.06 (0.02 to 0.14)

1

0.03 (0.08 to 0.13)

1

Brand recognition 1.34 (1.06 to 1.69) 1.41 (1.14 to 1.73)

Tobacco outlet density 1.13 (1.04 to1.23) 1.16 (1.06 to 1.27)

Hanging round in the street ≥1/wk

Hanging round in the street<1/wk

Gender male

female

Family Affluence Scale (low)

Family Affluence Scale (med)

Family Affluence Scale (high)

White

Other ethnic group

Age in years

3.13 (1.10 to 8.89)

1

2.89 (1.76 to 4.73)

1

1

0.46 (0.16 to 1.27)

1

1.92 (0.67 to 5.47)

1.72 (0.81 to 3.68)

1

0.60 (0.05 to 8.86)

0.50 (0.15 to 1.69)

Page 13: Determinants of e-cigarette use and intention to use in Scottish Adolescents Dr Catherine Best Professor Sally Haw School of Health Sciences University

Conclusions

In our Scottish sample:• Respondents who have never smoked less likely to use e-

cigs• More cigarette brands recognised more likely to use e-

cigarettes

• Respondents living in higher tobacco retail outlet density more likely to intend to try e-cig

• Respondents hanging round street or park more likely to intend to try e-cig

• Current smoking related to having tried e-cigarettes

Page 14: Determinants of e-cigarette use and intention to use in Scottish Adolescents Dr Catherine Best Professor Sally Haw School of Health Sciences University

Regulation

• Tobacco point of sale banned in UK• E-cigarette point of sale and advertising

unregulated until after EU directive comes into force in 2016.

• Current Bill includes restriction on advertising but no intention to ban at POS.

• Window of opportunity

Page 15: Determinants of e-cigarette use and intention to use in Scottish Adolescents Dr Catherine Best Professor Sally Haw School of Health Sciences University

E-cigs Debate

Positives• Harm reduction in

smokers• Cessation aid

Negatives• Long-term effects

unknown• Re-normalises smoking

• Growing use by never smokers

More evidence needed

Page 16: Determinants of e-cigarette use and intention to use in Scottish Adolescents Dr Catherine Best Professor Sally Haw School of Health Sciences University

Young people and e-cigs

Positives• Tends to be

experimentation not regular use

• Relatively harmless in comparison to other substances

• Potential health impact of occasional/one-off use minimal?

Negatives• Young people more easily

addicted nicotine• Gateway• Use by never smokers• Advertising spend is growing

and so is e-cig use- flavours appealing to young

• Re-normalising smoking

Page 17: Determinants of e-cigarette use and intention to use in Scottish Adolescents Dr Catherine Best Professor Sally Haw School of Health Sciences University

Project team

• Sally Haw (PI), Martine Stead, Douglas Eadie, Anne Marie MacKintosh, Catherine Best University of Stirling

• Andy MacGregor, Clare Sharp, ScotCen• Amanda Amos, Jamie Pearce, John Frank, Catherine

Tisch, Martine Miller University of Edinburgh• Winfried van der Sluijs, Farhana Haseen University of

St Andrews• Funded by NIHR PHR

Page 18: Determinants of e-cigarette use and intention to use in Scottish Adolescents Dr Catherine Best Professor Sally Haw School of Health Sciences University

Thank you

[email protected]• @cathbest