| Literature DB >> 31615794 |
Abdulmohsen Hamdan Al-Zalabani1, Ibrahim Noor Elahi2, Abdullah Katib2, Abdulmajeed G Alamri2, Abdulrahman Halawani2, Nasser M Alsindi2, Mohammed Almatrafi2, Anke Wesselius3, Kelly F J Stewart3.
Abstract
OBJECTIVES: To carry out meta-analysis and systematic review on the association between soft drinks consumption and asthma prevalence among adults and children.Entities:
Keywords: asthma; carbonated beverages; epidemiology; nutrition & dietetics; public health
Year: 2019 PMID: 31615794 PMCID: PMC6797295 DOI: 10.1136/bmjopen-2019-029046
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Figure 1Preferred Reporting Items for Systematic Reviews and Meta-Analyses flow diagram describing selection process.
Study characteristics of published cross-sectional and cohort studies on soft drinks and asthma
| References | Study design | Country | Study period | Age | Cases/(total) subjects | Outcome | Comparison | Adjusted risk estimate (95% CI) | Quality | Adjustment variables |
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| Ibrahim | CS | Qatar | 2012–2018 | ≥20 years | 65/986 | Self-report of doctor’s diagnosis of asthma |
| Ref | 7/10 | Age, sex, smoking, education, leisure time physical activity, fruit and vegetables, BMI |
| DeChristopher and Tucker | Cohort | USA | 1984–2001 | 24–72 years | 363/2696 | Self-reported asthma |
| Ref | 7/9 | Sex, age, ever smoked, education level and time-varying covariates such as |
| Park | CS | USA | 2013 | ≥18 years | Not reported/ 146 990 | Self-report of doctor’s diagnosis of asthma |
| Ref | 8/10 | Age, sex, race/ethnicity, education level and smoking status |
| Shi | CS | Australia | 2008–2010 | ≥16 years | 2118/16 907 | Self-reported doctor-diagnosed asthma, with experience of symptoms or use of prescribed medication for asthma in the past 12 months |
| Ref | 7/10 | Age, gender, education, income, area of residence, smoking, alcohol consumption, physical activity, being overweight, intake of fruit and vegetables, intake of water and juice |
| Takaoka and Norback | CS | Japan | 2005–2006 | Mean 21 years | 24/153 | Self-reported wheeze |
| 1.02 (0.66 to 1.57) | 6/10 | Age, current smoking and parental asthma/allergy |
| Priftanji | CS | Tirana, Albania | 1995–1996 | 20–44 years | 234/2653 | Self-reported asthma-like symptoms and positive skin tests |
| Ref | 6/10 | Age, sex, smoking, family history of asthma, allergy to animals |
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| Han | CS | USA | 2009–2011 | Grades 9–12 | 3222/24 612 | Self-report of doctor’s diagnosis of asthma |
| Ref | 8/10 | Age, sex, race, health risk behaviours (except physical activity) and psychosocial stressors |
| Malaeb | CS | Lebanon | 2017 | Grades 1–9 | 107/1000 | Parental reports of doctor’s diagnosis of asthma |
| Ref | 6/10 | Not explicit |
| Wright | Cohort | USA | 1999–2002 | Median=7.7 years | 924 | Mother report of asthma |
| Ref | 7/9 | Maternal education, smoking and sugar-sweetened beverage intake during pregnancy and pre-pregnancy BMI; family income; child age, sex, BMI and race/ethnicity |
| Melo | CS | Brazil | 2012 | Grade 9 | 16 280/109 104 | Self-report of asthma |
| Ref | 7/10 | Sex, age, mother’s education level, parents as smokers, smoking, alcohol, school type, geographical region and municipality of residence |
| Berentzen | CS | The Netherlands | 2009 | 1–12 years | 139/2406 | Parental reports of 2 out of 3 of the following: wheezing in the past 12 months, prescription of inhaled corticosteroid in the past 12 months and a doctor’s diagnosis of asthma ever |
| Ref | 8/10 | Age, gender, breastfeeding, maternal education, parental allergy, smoking indoors, fruit and vegetable consumption and BMI |
| DeChristopher | CS | USA | 2014 | 2–9 years | 229/1961 | Self-report of doctor’s diagnosis of asthma |
| Ref | 7/10 | Age, sex, race/ethnicity, BMI and energy intake |
| Saadeh | CS | France | 2000–2001 | 9–11 years | Not reported /7432 | Parental report of asthma |
| Ref | 7/10 | Age, gender, place of residence, parental atopic disease, the number of siblings, maternal education, parental ethnic origins, breastfeeding, daycare centre or nursery, obesity and current exposure to environmental tobacco smoke |
| Park | CS | USA | 2009 | Grades 9–12 | 1724/15 960 | Self-report of doctor’s diagnosis of asthma |
| Ref | 7/10 | Age, sex, race/ethnicity, weight and smoking |
| Nagel | CS | 20 countries | 1995–2005 | 8–12 years | Not reported /50 004 | Parental report of asthma |
| Ref | 8/10 | Age, sex, environmental tobacco smoke, parental atopy, exercise and number of siblings |
| Tsai and Tsai | CS | Taipei, Taiwan | 2004 | 11–12 years | 574/2218 | Two or more wheezing-associated non-exercise-induced respiratory symptoms OR self-report of doctor-diagnosed asthma |
| 1.08 (1.03 to 1.13) | 6/10 | Residential districts, gender, physician-diagnosed allergy |
| Wickens | CS | Hastings, New Zealand | 2000 | 10.1–12.5 years | 468/1321 | Parental report of asthma |
| Ref | 7/10 | Gender, BMI, family history of allergic disease, family size, birth weight, current smoking in the home, father’s education, fast food and vegetable intake, exercise, ethnicity and year born |
| Corbo | CS | Italy | 2005 | 6–7 years | 3297/19 995 | Parental report of asthma |
| Ref | 6/10 | Age, gender, residence, education, season when data collected, person filling the questionnaire, being the only child, active smoking in the house, family history of asthma |
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| Wright | Cohort | USA | 1999–2002 | Median=7.7 years | 1053 | Mother report of asthma |
| Ref | 7/9 | maternal education, smoking during pregnancy and pre-pregnancy BMI; family income; child age, sex, BMI and race/ethnicity |
| Maslova | Cohort | Denmark | 1996–2002 | 18 months and 7 years | 9164/60 466 | Parental report of asthma at 7 years |
| Ref | 7/9 | Maternal age, smoking, parity, pre-pregnancy BMI, physical activity, breastfeeding, socioeconomic position, child sex, parental history of asthma and allergies and energy intake |
BMI, body mass index; CS, cross-sectional; ECRHS, European Community Respiratory; GA2LEN, Global Allergy and Asthma European Network consortium; ISAAC, International Study of Asthma and Allergies in Childhood; NHANES, National Health and Nutrition Examination Survey; Ref, Reference category; YRBS, Youth Risk Behaviour Survey.
Figure 2Meta-analysis of asthma among adults comparing highest versus lowest levels of soft drinks consumption.
Figure 3Meta-analysis of asthma among children comparing highest versus lowest levels of soft drinks consumption.
Figure 4Meta-analysis of asthma among children with soft drinks consumption: sugar-sweetened and carbonated beverages.
Summary of effect estimates for various exposures
| Exposure | Effect estimate* | No. of studies | Heterogeneity (I2) |
| Adult exposure | |||
| Overall |
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| Sugar-sweetened | 0.94 (0.68 to 1.31) | 1 | NA* |
| Artificially sweetened | 0.94 (0.73 to 1.21) | 1 | NA |
| Carbonated | 1.59 (0.97 to 2.60) | 1 | NA |
| Non-carbonated | – | – | – |
| Childhood exposure | |||
| Overall |
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| |
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| Artificially sweetened | 1.08 (0.74 to 1.59) | 1 | NA |
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| Non-carbonated | – | – | – |
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| Prenatal exposure | |||
| Overall |
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| Sugar-sweetened |
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| Artificially sweetened | 1.05 (0.89 to 1.24) | 1 (2 estimates) | 0.0% |
| Carbonated | 1.19 (0.98 to 1.45) | 1 (2 estimates) | 0.0% |
| Non-carbonated | 1.04 (0.91 to 1.18) | 1 (2 estimates) | 0.0% |
*Effect estimates in italics are based on meta-analysis.
NA, not applicable.
Figure 5Meta-analysis of wheeze among children for highest versus lowest levels of soft drinks consumption.