| Literature DB >> 35849329 |
Joreintje D Mackenbach1,2, Elodie L Ibouanga1, Monique H van der Veen3,4, Kirsten A Ziesemer5, Maria G M Pinho1,2.
Abstract
BACKGROUND: There is increasing evidence that the food environment, i.e. the availability, accessibility, price and promotion of foods and beverages, has a significant influence on oral health through food consumption. With this systematic literature review, we systematically summarize the available evidence on relations between the food environment and oral health outcomes in children and adults.Entities:
Mesh:
Year: 2022 PMID: 35849329 PMCID: PMC9341680 DOI: 10.1093/eurpub/ckac086
Source DB: PubMed Journal: Eur J Public Health ISSN: 1101-1262 Impact factor: 4.424
Figure 1Focus of this systematic review: relation between the food environment and oral health outcomes (footnote: conceptualization of food environment based on Glanz et al.)
Figure 2Flowchart showing the study selection according to the PRISMA statement
Characteristics of included studies on the food environment and oral health
| First author (year) | Country | Study design | Objective | Sample | Type of food environment | Food environment exposure measure(s) | Oral health outcome(s) | Key finding(s) |
|---|---|---|---|---|---|---|---|---|
| Alattas et al. (2020)a | USA | Observational: cross-sectional | Assess the effects of alcohol control policies on the national mortality rates due to cancers over a 5-year period | US population | Government and industry policies | Restrictiveness of state-level alcohol control policies | Esophageal, laryngeal and oropharyngeal cancer mortality rate | More restrictive state-level alcohol policies were associated with lower mortality rates due to esophageal cancer [−0.06 (95% CI −0.16, 0.04)], laryngeal cancer [−0.03 (95% CI −0.07, 0.01)] and oropharyngeal cancer [−0.04; (95% CI −0.07, −0.01)] |
| Briggs et al. (2017)w | UK | Health impact assessment | Evaluate the oral health impact of a nationwide tiered law that targets large SSB producers and aims to reduce sugar intake | 2014 UK population | Government and industry policies | Six scenarios of sugar reduction due to reformulation, price change or change to the SSB market share following legislation for a soft drinks levy | Dental caries | The optimal reformulation scenario could lead to a reduction of 269 375 (82 211–470 928) decayed, missing or filled teeth per year while the least optimal change in market share scenario could lead to an increase of 16 401 (4604–28 037) decayed, missing or filled teeth per year. Five out of six scenarios showed reductions in the number of decayed, missing or filled teeth per year |
| Choi et al. (2021)b | USA | Modeling study | Explore how decreased access to sugary drinks in a national food assistance program affects oral health outcomes over a 10-year period | 10 000 Americans aged 2–19 | Government and industry policies | Replacing sugary drinks with milk and 100% fruit juice | Dental caries | The replacement of sugary drinks is expected to lead to a decrease in the individual dental caries experience by 0.53 (95% CI −0.55 to −0.51) |
| Edasseri et al. (2017)r | Canada | Cohort | Explore how children’s oral health is affected by school environments and neighborhood environmental factors over a 3-year period | 330 white children in Quebec aged 8–10 years | Organizational food environment and community food environment | Healthy eating promotion policies in schools and the schools’ proximity to convenience stores/fast-food restaurants | Dental caries | Children in school types with a >500 m distance from convenience stores/fast-food restaurants and/or better healthy eating promotion policies were found to have a 21% [IRR 0.79 (95% CI 0.68, 0.90)] and 6% [IRR 0.94 (95% CI 0.83, 1.07)] lower dental caries experience than children in schools within 500 m from convenience stores/fast-food restaurants and worse eating promotion policies |
| Freeman and Oliver (2009)q | North-Ireland | Randomized controlled trial | Evaluate the effects of a school-based food policy that aims to improve oral health outcomes in school children 2 years after its implementation | 345 9-year olds from 16 schools | Organizational food environment | Boosting Better Breaks (BBB): a policy that increases the availability of healthy food and decreases access to unhealthy food in schools | Obvious tooth decay and decay in dentin | After a 2-year follow-up, obvious tooth decay had increased overall, and there was no effect of the school food intervention. Decay into dentin at follow-up was predicted by intervention status of the school ( |
| Freeman et al. (2001)p | North-Ireland | Randomized controlled trial | Assess the 2-year impact of a school-based policy that aims to facilitate healthy food habits on oral health outcomes | 364 9-year old school children from 16 schools | Organizational food environment | Boosting Better Breaks (BBB): a policy that increases the availability of healthy food and decreases access to unhealthy food in schools | Dental caries | The number of children without caries in BBB schools decreased from 33% after 1 year to 27% after 2 years. The increase in DMFT between both years was significant (F[1.85]=22.01; |
| Ghimire and Rao (2013)n | India | Cross-sectional | Estimate the extent to which oral health outcomes are associated with exposure to television advertisements | 600 school children | Information food environment | Television advertisements of food and beverages | Dental caries | Children who watched advertisements and asked their parents for the advertised food and beverages had significantly more dental caries |
| Hernández et al. (2021)t | Mexico | Natural experiment | Evaluate how an additional nationwide food and beverage tax has affected the quarterly dental caries experience | 2 648 893 Mexicans aged 1–99 years | Government and industry policies | Taxes on SSBs and unhealthy food | Dental caries | The number of people with dental caries decreased with 107.5 in dmft and 393.6 in DMFT. Dental caries experience decreased with 0.004 dmft and 0.026 DMFT every 3 months |
| Jamel et al. (2004)s | Iraq | Prospective cohort | Compare oral health outcomes in school children of different areas before and after the implementation of a sanction that restricted food availability in the country | 3015 school children aged 6–7, 11–12 and 14–15 from one urban and seven rural areas | Government and industry policies | United Nations Sanction (UNS) that limited sugar availability | Dental caries | The number of caries-free children increased from 16.4% to 34.6% in the urban sample and from 61.4% to 88.4% in the rural sample after the implementation of the sanction. This change happened in the span of 5 years |
| Jevdjevic et al. (2019)u | The Netherlands | Modeling study | Estimate how a nationwide SSB tax may affect oral health outcomes in children and adults over a lifetime | 6- to 79-year olds | Government and industry policies | 20% SSB tax | Dental caries | The tax is expected to avert 1 030 163 (95% UI 1 027 903–1 032 423) caries lesions, which is an individual gain of 2.13 (95% UI 2.12–2.13) caries-free tooth years over a lifetime |
| Jevdjevic et al. (2021)m | Germany | Modeling study | Estimate how a food labeling system may affect oral health outcomes in children and adults when implemented throughout the country | 500 000 Germans aged 14–79 in 2017 | Consumer food environment | Front-of-package food labeling | Dental caries and burden of disease | The expected effect of the food labeling system is the aversion of 2 370 715 (95% CI 2 062 730–2 678 700) caries lesions and an increase in the OHRQoL as a result of the prevention of 677.62 (95% CI, 589.59–765.65) DALYs over a 10-year period |
| Jiang et al. (2019)k | Australia | Retrospective cohort | Explore the gender-based differences in the impact of alcohol control policies on HNC mortality rates throughout >50 years | Australians aged 15+ years | Government and industry policies | Alcohol control policies | HNC mortality rates | Liquor license liberalization was associated with a significant increase in HNC mortality in both men [0.11 (95% CI 0.03; 0.20)] and women [0.04 (95% CI 0.02; 0.06)] |
| Kaewkamnerdpong and Krisdapong (2018)i | Thailand | Cross-sectional | Evaluate the oral health outcomes of a school food program that aims to decrease sugar intake among 55 schools | 984 children from 55 schools | Organizational food environment | Provision of fruits with school meals and sale of healthy non-sugary snacks | Dental caries | Students of schools that included fresh fruits with school meals and sold healthy non-sugary snacks were found to have a significantly lower number of tooth decay and DMFT than students of schools that sold sugary snacks and beverages and did not provide fruits with school meals [aOR 0.99 (95% CI 0.64; 1.54)] |
| Maupomé et al. (2010)e | USA | Ecological | Estimate the effects of a community-based intervention that aims to prevent ECC in an 18–30 months period | 178 American Indian infants from three communities | Community food environment | Increased water availability | ECC | The intervention was associated with a significant decrease in early-stage (between 0.300 and 0.631) and advanced-stage carious lesions (between 0.342 and 0.449). The separate effects of water consumption promotion were not reported |
| Schwendicke et al. (2016)l | Germany | Modeling study | Estimate the health effects of the implementation of a nationwide SSB tax over a 10-year period | Germans aged 14–79 in 2015 | Government and industry policies | 20% SSB tax | Dental caries | The tax is expected to lead to 750 000 fewer new caries lesions compared to a 0% tax |
| Somasundaram et al. (2018)o | India | Cross-sectional | Estimate the extent to which oral health outcomes are associated with exposure to television advertisements | 300 children from one school, aged 6–8 years | Information food environment | Television advertisements | Dental caries | A higher DMFS was found in children who asked for advertised food and soft drinks than children who did not. The effects were not quantified |
| Sowa et al. (2019)j | Australia | Modeling study | Estimate the health effects of the implementation of a nationwide SSB tax over a 10-year period | Australians aged 6 years and up | Government and industry policies | SSB tax | Dental caries | The tax is estimated to lead to the prevention of 3.9 million DMFT [95% CI (6.08–1.73 million)] |
| Tellez et al. (2006)f | USA | Cross-sectional | Investigate how environmental factors affect oral health outcomes in caregivers of low-income children | Caregivers of 1021 low-income African American children in Detroit | Community food environment | Number of grocery stores in the neighborhood | Dental caries | A significant association was found between the number of grocery stores in a neighborhood and dental caries severity. Caregivers in neighborhoods with a high number of grocery stores had a higher caries experience than caregivers in neighborhoods with a lower number of grocery stores (2.1 |
| Thornley et al. (2017)v | New Zealand | Non-randomized controlled trial | Evaluate the differences in oral health outcomes of a policy that aims to reduce sugar consumption in school children over a 7-year period | 3813 children from 10 schools | Organizational food environment | Ban on sugary drinks, ‘water only’ policy and provision of water bottles on school grounds | Dental caries | Children exposed to the policy experienced less dental caries [0.37 (95% CI: −0.092; −0.652)] than children of other schools who were not exposed to the policy |
| Urwannachotima et al. (2019)g | Thailand | Qualitative case study | Describe the association between the implementation of a nationwide SSB tax and oral health outcomes | Thai population | Government and industry policies | SSB tax | Dental caries | A CLD was developed to describe the different ways in which the tax may impact oral health. It was concluded that the tax needs to be combined with other interventions to improve oral health outcomes |
| Urwannachotima et al. (2020)h | Thailand | Modeling study | Identify the potential health effects of a national SSB tax over a 30-year period | Thai population aged 15 years and older | Government and industry policies | SSB tax | Dental caries | Without the tax, the dental caries prevalence is expected to increase by 13.6% compared to 1% with the tax. Under the aggressive scenario the prevalence is expected to decrease by 21% |
| Yang et al. (2016)c | USA | Retrospective cohort | Explore effects of the nationwide folic acid fortification of grains on the statewide prevalence of orofacial clefts | 1 366 369 children born in central California between 1989 and 2010 | Government and industry policies | Mandatory folic acid fortification | Orofacial clefts | The prevalence of CLP increased by 0.2 per 100 000 births (95% CI −6.3; 6.6) before the fortification and decreased by 2.1 (95% CI −3.9; −0.3) after fortification. For CP, the pre fortification increase was 1.2 (95% CI −5.3; 7.7), the prevalence decreased by 2.3 (95% CI −4.7; 0.01) after fortification |
| Yazdy et al. (2007)d | USA | Retrospective cohort | Explore effects of the nationwide folic acid fortification of grains on the national prevalence of orofacial clefts | 45 926 598 children born between 1990 and 2002 | Government and industry policies | Mandatory folic acid fortification | Orofacial clefts | The prevalence of orofacial clefts decreased by 5.0/100 000 births [PR = 0.94 (95% CI: 0.92–0.96)] after the fortification |
AOR, adjusted odds ratio; 95% CI, 95% confidence interval; CLD, causal loop diagram; CLP, cleft lip with/without palate; CP, cleft palate; dmft, decayed/missed/filled teeth in the primary dentition; DMFT, decayed/missed/filled teeth in the permanent dentition; ECC, early childhood caries; HNC, head and neck cancer; IRR, incidence rate ratio; PR, prevalence ratio; SSB, sugar-sweetened beverage; UI, uncertainty interval; UK, United Kingdom; US, United States.
Quality assessment of included studies according to the QuADS
| First author (year) | Type of food environment | Criteria | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Theoretical or conceptual under pinning to the research | Research aims | Research setting and target popula tion | Appro priate study design | Appro priate sampling | Rationale for data (collection) | Appro priate tools | Data collection procedure | Recruit ment data provided | Justifica tion analytical methods | Appro priate analyses | Stakeholders considered in design or conduct | Strengths and limitations discussed | Total score (%) | ||
| Alattas et al. (2020)a | Government and industry policies | 1 | 3 | 2 | 1 | N/A | 1 | 3 | 2 | N/A | 3 | 2 | 0 | 3 | 67 |
| Briggs et al. (2017)w | Government and industry policies | 0 | 3 | 2 | 3 | N/A | 1 | 3 | 3 | N/A | 2 | 2 | 0 | 3 | 66 |
| Choi et al. (2021)b | Government and industry policies | 0 | 3 | 2 | 3 | N/A | 1 | 0 | 2 | N/A | 3 | 3 | 0 | 3 | 61 |
| Edasseri et al. (2017)r | Organizational food environment and community food environment | 1 | 3 | 3 | 3 | 1 | 2 | 2 | 1 | 2 | 2 | 3 | 0 | 3 | 66 |
| Freeman and Oliver (2009)q | Organizational food environment | 0 | 3 | 3 | 3 | 3 | 3 | 3 | 2 | 3 | 2 | 3 | 0 | 2 | 77 |
| Freeman et al. (2001)p | Organizational food environment | 0 | 1 | 3 | 3 | 3 | 2 | 3 | 2 | 3 | 0 | 1 | 1 | 3 | 64 |
| Ghimire and Rao (2013)n | Information food environment | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 18 |
| Hernández et al. (2021)t | Government and industry policies | 1 | 2 | 2 | 3 | 3 | 2 | 2 | 2 | 3 | 3 | 3 | 0 | 3 | 74 |
| Jamel et al. (2004)s | Government and industry policies | 0 | 3 | 2 | 2 | 1 | 1 | 3 | 2 | 1 | 0 | 1 | 0 | 0 | 41 |
| Jevdjevic et al. (2019)u | Government and industry policies | 0 | 3 | 3 | 3 | N/A | 1 | 3 | 2 | N/A | 2 | 3 | 0 | 3 | 70 |
| Jevdjevic et al. (2021)m | Consumer food environment | 2 | 2 | 2 | 3 | N/A | 1 | 2 | 1 | N/A | 2 | 3 | 0 | 3 | 64 |
| Jiang et al. (2019)k | Government and industry policies | 0 | 3 | 2 | 3 | N/A | 2 | 2 | 2 | N/A | 3 | 3 | 0 | 3 | 70 |
| Kaewkamnerdpong and Krisdapong (2018)i | Organizational food environment | 1 | 3 | 3 | 2 | 3 | 1 | 2 | 2 | 3 | 3 | 2 | 0 | 2 | 69 |
| Maupomé et al. (2010)e | Community food environment | 0 | 2 | 2 | 2 | 1 | 2 | 3 | 2 | 0 | 3 | 3 | 0 | 2 | 56 |
| Schwendicke et al. (2016)l | Government and industry policies | 0 | 3 | 3 | 2 | 2/N/A | 1 | 2 | 2 | N/A | 2 | 2 | 0 | 3 | 61 |
| Somasundaram et al. (2018)o | Information food environment | 1 | 2 | 3 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 33 |
| Sowa et al. (2019)j | Government and industry policies | 2 | 3 | 1 | 1 | 2/N/A | 2 | 2 | 2 | N/A | 3 | 2 | 0 | 0 | 55 |
| Tellez et al. (2006)f | Community food environment | 3 | 3 | 3 | 2 | 3 | 2 | 2 | 2 | 2 | 3 | 3 | 0 | 3 | 79 |
| Thornley et al. (2017)v | Organizational food environment | 0 | 3 | 2 | 2 | 1 | 1 | 3 | 2 | 1 | 3 | 1 | 0 | 2 | 54 |
| Urwannachotima et al. (2019)g | Government and industry policies | 1 | 3 | 2 | 3 | 2 | 2 | 3 | 3 | 1 | N/A | N/A | 3 | 1 | 73 |
| Urwannachotima et al. (2020)h | Government and industry policies | 2 | 3 | 1 | 3 | 2/N/A | 1 | 2 | 2 | N/A | 3 | 3 | 3 | 1 | 73 |
| Yang et al. (2016)c | Government and industry policies | 0 | 2 | 2 | 2 | 2 | 2 | 3 | 3 | 1 | 2 | 2 | 0 | 3 | 62 |
| Yazdy et al. (2007)d | Government and industry policies | 0 | 3 | 2 | 3 | 1 | 2 | 3 | 2 | 1 | 2 | 3 | 0 | 3 | 64 |