Table 1

Characteristics and effect sizes of studies included in the meta-analysis

Author, yearData collection yearCountrySample sizeSample ageOutlet density buffer distance (km)ControlsOutlet density measure*Distribution of outlet density†OR
(95% CI)‡
Homes
 Novak et al, 200616 1995–1999USA211611–23§0.43¶Minor status, age, race/ethnicity, gender, parental education, commercial land use, neighbourhood racial composition and neighbourhood povertyTrendM=7.11.21
(1.04 to 1.40)
 Adachi-Mejia et al, 201222 2007USA126313–180.80Age, race/ethnicity, socioeconomic status, sibling smoking, friend smoking, exposure to movie smoking, team sport participation, sensation seeking, tobacco outlet proximity, and proportion of community population Black, Hispanic and families with income below the poverty levelTrendMedian=0.341.11
(0.70 to 1.79)
 Lipperman-Kreda et al, 201414 2010USA83213–181.21Gender, race/ethnicity, age, population density, median family income, and city % of minors <18 years, % African– Americans, % Hispanic, % college-educated and % unemployedTrendM=3.88
SD=5.24
Range=0–37.20
1.08
(1.01 to 1.16)
 Shortt et al, 201618 2010Scotland20 44613–150.80Age group, sex, ethnicity, received free school meals, perceived family wealth, family structure, parental smoking status, rurality and Carstairs Deprivation ScoreTrendRange=0 to >5.631.06
(1.00 to 1.12)
Schools
 Leatherdale and 
 Strath, 20071
2001–2002Canada19 46414–181.00Gender, age, parent smoking, older sibling smoking, ever smoked with family member, five closest friends smoking and school student smoking rateTrendM=6.3
Range=1–13
1.01
(0.99 to 1.03)
 McCarthy et al, 200915 2003–2004USA19 306M=14.91.61Age, gender, race/ethnicity, English-language use in the home, grades, peer smoking, friends’ smoking, ease of obtaining cigarettes, depressive symptoms, school type, school rurality and school-level parental educationTrendM=10.8
SD=8.9
1.11
(1.02 to 1.21)
 Chan and Leatherdale, 201113 2005–2006Canada22 7649–12 grade1.00Grade, gender, older sibling smoking, parent smoking, up to five closest friends smoking and neighbourhood disadvantageTrendM=2.68
Range=0–16
0.99
(0.97 to 1.01)
 Adams et al, 201319 2002USA97047–10 grade0.80Sex, race/ethnicity, grade, illegal tobacco sales rate, median neighbourhood income and mean neighbourhood densityTrendM=2.76
SD=2.45
Range=0–9
1.04
(0.95 to 1.14)
 Scully et al, 201320 2008Australia204412–170.50Age, sex, personal spending money, perceived ease of buying cigarettes, smoking status of parents/caretakers and neighbourhood SESTrendM=2.37
SD=1.65
Range=0–7
1.06
(0.90 to 1.25)
 Lipperman-Kreda et al, 201414 2010USA83213–181.21Gender, race/ethnicity, age, population density, median family income, and city % of minors <18 years, % African– Americans, % Hispanic, % college-educated, % unemployedTrendM=4.97
SD=5.45
Range=0–44.62
1.02
(0.93 to 1.11)
 Mistry et al, 201523 2010India13208–10 grade0.50Age, gender, religion, monthly receipt of pocket money, hopelessness, ease of access to tobacco, parental tobacco use, peer tobacco use and school annual feeLow vs high densityM=60.0
SD=43.9
Range=2–199
1.99
(0.92 to 4.33)**
 Marsh et al, 20163 2012New Zealand27 23814–151.00Sex, age, ethnicity, family smoking, peer smoking, school decile and school locationZero vs high densityMedian=20.94
(0.82 to 1.07)
 Shortt et al, 201618 2010Scotland20 44613–150.80Age group, sex, ethnicity, received free school meals, perceived family wealth, family structure, parental smoking status, rurality and Carstairs Deprivation ScoreTrendRange=0 to >6.720.98
(0.92 to 1.04)
  • *This column represents how the number of tobacco outlets was measured. Most studies used a count measure in which higher scores indicated a greater number of outlets (trend). Some studies compared zero/low vs high density areas.

  • †These values represent descriptive statistics of tobacco outlet density provided in each study. These values may not be directly comparable due to differences in density and buffer size conceptualisations. Please refer to the ‘Outlet Density Buffer Distance’ and ‘Outlet Density Measure’ columns for more information about how to interpret these values.

  • ‡These values represent adjusted ORs by the controls listed in the ‘Controls’ column.

  • §Although the age range extended beyond our initial cut-off of 18 years old, the legal age to purchase cigarettes did not significantly influence the association between tobacco outlet density and current smoking.

  • ¶We calculated the average census tract distance from the city in which the study was conducted to represent the outlet density catchment distance.

  • **This study outcome included both smoked and non-smoked tobacco products.