| Literature DB >> 33883899 |
Mei Zhang1, Zheng-Kun Hou2, Zhi-Bang Huang1, Xin-Lin Chen3, Feng-Bin Liu2,4.
Abstract
We performed this review to clarify which dietary and lifestyle factors are related to gastroesophageal reflux disease. Through a systematic search of the PubMed, EMBASE, China National Knowledge Infrastructure (CNKI), and Chinese BioMedical Literature (CBM) databases, we identified articles with clear definitions of GERD, including nonerosive gastroesophageal reflux disease (NERD), reflux esophagitis (RE) and Barrett's esophagus (BE), that included dietary and lifestyle factors as independent factors affecting the onset of GERD (expressed as odds ratios (ORs) or relative risks (RRs) and 95% confidence intervals (CIs)). Due to heterogeneity among the studies, we used descriptive statistical analyses to analyze and synthesize each outcome based on the disease type. In total, 72 articles were included, conducted in ten Western countries (26 articles in total) and nine Eastern countries (46 articles in total). We categorized dietary factors into 20 items and lifestyle factors into 11 items. GERD is related to many irregular dietary and lifestyle habits (such as a habit of midnight snacking: OR=5.08, 95% CI 4.03-6.4; skipping breakfast: OR=2.7, 95% CI 2.17-3.35; eating quickly: OR=4.06, 95% CI 3.11-5.29; eating very hot foods: OR=1.81, 95% CI 1.37-2.4; and eating beyond fullness: OR=2.85, 95% CI 2.18-3.73). Vegetarian diets (consumption of nonvegetarian food (no/yes); OR=0.34, 95% CI 0.211-0.545) and no intake of meat (OR=0.841, 95% CI 0.715-0.990) were negatively related to GERD, while meat (daily meat, fish, and egg intake: OR=1.088, 95% CI 1.042-1.135) and fat (high-fat diet: OR=7.568, 95% CI 4.557-8.908) consumption were positively related to GERD. An interval of less than three hours between dinner and bedtime (OR=7.45, 95% CI 3.38-16.4) was positively related to GERD, and proper physical exercise (physical exercise >30 minutes (>3 times/week): OR=0.7, 95% CI 0.6-0.9) was negatively correlated with GERD. Smoking (OR=1.19, 95% CI 1.12-1.264), alcohol consumption (OR=1.278, 95% CI 1.207-1.353) and mental state (poor mental state: OR=1.278, 95% CI 1.207-1.353) were positively correlated with GERD. RE (vitamin C: OR=0.46, 95% CI=0.24-0.90) and BE (vitamin C: OR=0.44,95% CI 0.2-0.98; vitamin E: OR=0.46, 95% CI 0.26-0.83) were generally negatively correlated with antioxidant intake. In conclusion, many dietary and lifestyle factors affect the onset of GERD, and these factors differ among regions and disease types. These findings need to be further confirmed in subsequent studies.Entities:
Keywords: diet; gastroesophageal reflux disease; lifestyle; systematic review
Year: 2021 PMID: 33883899 PMCID: PMC8055252 DOI: 10.2147/TCRM.S296680
Source DB: PubMed Journal: Ther Clin Risk Manag ISSN: 1176-6336 Impact factor: 2.423
Figure 1The flow diagram of the systematic review.
Diet and Lifestyle Factors Related to Each Disease Type in Western and Eastern Country
| Diet and Lifestyle Categories | Details About Each Category | GERD | NERD | RE | BE | ||||
|---|---|---|---|---|---|---|---|---|---|
| W | E | W | E | W | E | W | E | ||
| Dietary pattern | Non-Mediterranean diet, consumption of non-vegetarian food, no intake of meat | + | + | ||||||
| Dietary habits | Habit of midnight snacks, skipping breakfast, eating quickly, eating beyond fullness, eating very hot foods, frequent liquid food consumption | + | + | + | |||||
| Habits after a meal | Lying down soon after eating, Post dinner physical activity (walking), Post dinner physical activity (lying), Post dinner physical activity (sitting) | + | |||||||
| Coffee | Coffee, former coffee drinkers | + | + | + | |||||
| Tea | Tea, peppermint tea, green tea, lower intake of salt tea, Tibetan sweet tea | + | + | + | + | + | |||
| Beverage | Soft drink | + | |||||||
| Milk | Milk, infrequent milk intake | + | + | ||||||
| Vegetables | Vegetable, dark green vegetable, bean, vegetable and fruit | + | + | + | |||||
| Fruit | Fruit, Citrus intake Between meals, citrus | + | + | ||||||
| Vitamins | Vitamin-E, vitamin-C, folate, vitamin-B2, vitamin-B6, vitamin-B12, isoflavones, lutein, anthocyanidins | + | + | + | |||||
| Antioxidant correlation | Dietary inflammatory index | + | |||||||
| Micronutrient | Magnesium, dietary iron intake | + | + | ||||||
| Salt | Salt intake, extra salt on regular meals, Table salt use | + | + | ||||||
| Taste and flavour of food | Raw or cold food, spicy, sweet | + | + | ||||||
| Staple food | Bread high in dietary fibre content, starch | + | + | ||||||
| Protein | Processed meat, Tibetan dried meat, egg, Daily meat, fish, and egg intake | + | + | + | |||||
| Fat | Fried food, greasy food, high fat diet, saturated fat, monounsaturated fat, total fat | + | + | + | + | + | |||
| Fiber | Total fiber | + | |||||||
| Energy | Total energy | + | + | ||||||
| Dinner to bedtime interval | Dinner within two hours before going to sleep, eat 2h before bed, dinner-to-bed time was less than 3 h | + | |||||||
| Smoking related | Smoking, Current smoker, Former smoker | + | + | + | + | + | + | ||
| Drinking related | Alcohol, liquor, wine, beer, alcohol‑abusing, Tibetan barley wine | + | + | + | + | + | + | + | + |
| Psychological status | Depression, state anxiety, trait anxiety, anxiety, anxiety or depression, strong psychological stress, poor mental state | + | + | + | |||||
| Marriage state | Divorced/widowed, widowed/widowers, married | + | + | + | |||||
| Education | Education level only elementary, level of education, education level | + | + | ||||||
| Occupation related traits | Sedentary lifestyle, standing occupations, physical labour, night shift | + | + | ||||||
| Abdominal pressure related | The belt too tight, wearing girdles or corsets, constipation | + | + | ||||||
| Exercise | Never exercise, physical inactivity, Exercise time less than 30 minutes, exercise, exercise daily >30 minutes, Physical exercise of >30 minutes(>3times/week) | + | + | ||||||
| Sleep | Insomnia, hours of sleep, staying up late | + | |||||||
| Living environment | Altitude of residence, length of residence, rural, urban dwelling | + | |||||||
| Others | Snore, Pan masala chewing | + | + | ||||||
Notes: +, stand as there are positive found in here.
Abbreviations: GERD, gastroesophageal reflux disease; NERD, nonerosive gastroesophageal reflux disease; RE, reflux esophagitis; BE, Barrett’s esophagus; W, Western country; E, Eastern country.
The Main Findings Related to GERD Across the Articles
| First Author, Publication Year | Area (Country) | Clinical Study Design | Positive Related Factors | AOR (95% CI) | Negative Related Factors | AOR (95% CI) |
|---|---|---|---|---|---|---|
| I. Mone, 2016 | Western country (Albanian) | Cross-sectional study | Non-Mediterranean diet | 2.3 (1.2–4.5) | ||
| Lulzim Çela, 2013 | Western country (Albanian) | Cross–sectional study | Current smoker | 29.3 (13.9–61.2) | ||
| Former smoker | 9.79 (4.22–22.7) | |||||
| Fried food | 3.01 (1.52–6.20) | |||||
| Physical inactivity | 7.03 (2.68-18.4) | |||||
| Ai Kubo, 2014 | Western country (American) | Cross–sectional study | Soft drinks | 1.86 (1.16–2.97) | Beer | 0.54 (0.31–0.96) |
| Citrus | 0.62 (0.41–0.94) | |||||
| Tea | 1.86 (1.02–3.4) | |||||
| Total fat | 1.77 (1.07–2.93) | |||||
| Frank K. Friedenberg, 2011 | Western country (American) | Cross–sectional study | Current smoker | 1.74 (1.15–2.65) | ||
| Gawon Ju, 2013 | Eastern country (Korea) | Cross-sectional study | Poor sleep quality | 3.5 (1.3–9.3) | ||
| Depressed mood | 2.8 (1.5–5.3) | |||||
| Yasuhiro Fujiwara, 2005 | Eastern country (Japan) | Case control study | Dinner-to–bed time was less than 3 h | 7.45 (3.38–16.4) | ||
| Tetsuya Murao, 2011 | Eastern country (Japan) | Cross–sectional study | Green tea drinker | 1.44 (1.07–1.94) | Hours of sleep | 0.90 (0.82–0.99) |
| Exercise | 0.74 (0.61–0.89) | |||||
| Masaki Miyamoto, 2007 | Eastern country (Japan) | Cohort study | Constipation | 7.259 (2.623–20.092) | ||
| Maria Pina Dore, 2008 | Western country (Italy) | Case control study | Education level only elementary | 3.2 (1.8–5.5) | ||
| Never exercise | 1.9 (1.2–3.5) | |||||
| Mirosław Jarosz, 2014 | Western country (Australia) | Case control study | Peppermint tea | 2.00 (1.08–3.70) | ||
| Omid Eslami, 2017 | Eastern country (Iran) | Cross–sectional study | Citrus intake Between meals | 2.22 (1.3–3.81) | ≥ 12 years schooling | 0.55 (0.33–0.91) |
| Haoxiang Zhang, 2019 | Eastern country (China) | Cross–sectional study | Education level (high school vs primary) | 2.804 (2.090–3.761) | ||
| Altitude of residence | 2.469 (1.714–3.556) | |||||
| Length of residence | 2.218 (1.836–2.679) | |||||
| Tibetan sweet tea | 2.158 (1.782 −2.613) | |||||
| Tibetan barley wine | 1.271 (1.060 −1.523) | |||||
| Tibetan dried meat | 1.278 (1.067 −1.532) | |||||
| Staying up late | 1.229 (1.026 −1.472) | |||||
| Jia He, 2010 | Eastern country (China) | Cross–sectional study | Rural | 1.40 (1.13–1.72) | ||
| X.-Q. Ma, 2009 | Eastern country (China) | Cross-sectional study | Urban dwelling | 3.6 (1.2–10.4) | ||
| Yan Gong, 2019 | Eastern country (China) | Cross–sectional study | Smoking | 1.19 (1.12–1.264) | Salt intake | 0.903 (0.853–0.956) |
| Alcohol consumption | 1.278 (1.207–1.353) | Physical activity | 0.846 (0.808–0.886) | |||
| Daily meat, fish, and egg intake | 1.088 (1.042-1.135) | Daily fruit intake | 0.91 (0.856–0.967) | |||
| Ling-Zhi Yuan, 2019 | Eastern country (China) | Cross–sectional study | Eating quickly | 4.06 (3.11–5.29) | ||
| Eating beyond fullness | 2.85 (2.18–3.73) | |||||
| Wearing girdles or corsets | 2.19 (1.42–3.38) | |||||
| Eating very hot foods | 1.54 (1.16–2.05) | |||||
| Lying down soon after eating | 1.81 (1.37–2.4) | |||||
| Smoking | 1.52 (1.07–2.15) | |||||
| Juan Du, 2007 | Eastern country (China) | Cross–sectional study | Divorced/widowed | 1.82 (1.27–2.60) | Greasy food | 0.75 (0.60–0.95) |
| Strong tea drinking | 0.67 (0.50–0.89) | |||||
| M Nilsson, 2004 | Western country (Norway) | Case Control study | Smoked daily for more than 20 years | 1.7 (1.5–1.9) | Coffee | 0.6 (0.4–0.7) |
| Table salt use | 1.5 (1.2–1.8) | Bread high in dietary fibre content | 0.5 (0.4–0.7) | |||
| Extra salt on regular meals | 1.7 (1.4–2.0) | Physical exercise of >30 minutes (>3/week) | 0.7 (0.6–0.9) | |||
| Sushil Kumar, 2011 | Eastern country (India) | Cross-sectional study | Sedentary lifestyle | 2.786 (1.016–7.638) | Intake of fresh fruits ≥1/week | 0.631 (0.409–0.973) |
| No intake of meat | 0.841 (0.715–0.990) | |||||
| Lower intake of salt tea | 1.663 (1.014–2.726) | |||||
| Sudipta Dhar Chowdhury, 2019 | Eastern country (India) | Cross–sectional study | Living in urban area | 2.3 (1.9 – 2.8) | ||
| Infrequent milk intake | 1.6 (1.3–1.9) | |||||
| Hai-Yun Wang, 2016 | Eastern country (India) | Cross-sectional study | Urban | 1.8 (1.3–2.5) | ||
| Pan masala chewing | 2.0 (1.2-3.2) | |||||
| Praveen Kumar Sharma, 2010 | Eastern country (India) | Cross-sectional study | Current smoking | 1.48 (1.19–1.83) | ||
| Shobna J. Bhatia, 2011 | Eastern country (India) | Cross-sectional study | Consumption of non–vegetarian food | 0.34 (0.211-0.545) | ||
| Shahid Ahmed, 2020 | Eastern country (Pakistan) | Cross–sectional study | Exercise time less than 30 minutes | 6.47 (4.91–8.53) | Post dinner physical activity (walking) | 0.25 (0.13–0.47) |
| Habit of midnight snacks | 5.08 (4.03–6.4) | Post dinner physical activity (sitting) | 0.45 (0.24–0.84) | |||
| Exercise daily >30 minutes | 0.02 (0.01–0.03) | |||||
| Feeling of inadequate sleep | 3.22 (2.57–4.03) | |||||
| Frequent skipping breakfast | 7 (2.17–3.35) | |||||
| Dinner within two hours before going to sleep | 6.98 (5.36–9.08) | |||||
| Habit of smoking | 6.25 (4.4–8.91) | |||||
| Post dinner physical activity (lying) | 2.24 (1.19-4.2) | |||||
| Shaha M, 2012 | Eastern country (Bangladesh) | Cross–sectional study | Level of education (Primary) | 3.095 (1.511–25.889) | ||
| Married | 4.852 (2.23–10.553) | |||||
| Widowed/widowers | 14.6 (5.879–36.258) | |||||
| P. J. Veugelers, 2006 | Western country (Canada) | Case control study | Liquor | 2.69 (1.05–6.92) | Vitamin C | 0.4 (0.19-0.87) |
| Nabil Joseph Awadalla, 2019 | Eastern country (Saudi Arabia) | Cross-sectional study | Insomnia | 1.65 (1.36–2.01) | ||
| Modh Said Rosaida, 2004 | Eastern country (Malaysia) | Cross–sectional study | Alcohol | 2.42 (1.11–5.23) | ||
| Education level | 1.52 (1.02-2.26) | |||||
| ZHANG Min, 2018 | Eastern country (China) | Cross-sectional study | Greasy food | 1.794 (1.237~2.731) | ||
| Smoking | 2.071 (1.560~2.869) | |||||
| YAO XiaoJun, 2018 | Eastern country (China) | Cross–sectional study | Eating beyond fullness | 3.2 (2.131–5.042) | ||
| High fat diet | 7.568, (4.557–8.908) | |||||
| Liquor | 2.262 (1.871–4.322) | |||||
| Mental stress | 2.122 (1.551–4.072) | |||||
| Constipation | 2.329 (1.409–4.271) | |||||
| Sweet | 1.952 (1.121-3.122) | |||||
| JIANG Chenglin, 2016 | Eastern country (China) | Cross–sectional study | Strong tea | 2. 145 (1.338–3. 438) | ||
| Greasy food | 2. 016 (1.208–3.318) | |||||
| RONG Liang, 2013 | Eastern country (China) | Cross–sectional study | High fat diet | 7.964 (6.146–10.319) | ||
| Alcohol | 3.804 (2.982–4.852) | |||||
| Strong tea | 2.758 (2.17–3.504) | |||||
| Eating beyond fullness | 2.408 (1.896–3.06) | |||||
| CHEN HuiXin, 2006 | Eastern country (China) | Case control study | Divorced, separated or widowed | 4.61 (2.15–9.89) | ||
| Heavy working pressure | 3.43 (1.72–6.84) | |||||
| JIANG Chu, 2010 | Eastern country (China) | Cross–sectional study | Rural | 2.237 (1.422–3.517) | ||
| High educated | 1.242 (1.001–1.542) | |||||
| Work and life are stressful | 1.277 (1.089–1.497) | |||||
| Poor mental state | 1.20 (1.046–1.665) | |||||
| SHEN Xu-De, 2010 | Eastern country (China) | Cross-sectional study | Eating beyond fullness | 2.053 (1.293,–3.26) | ||
| Sweet | 2.413 (1.252–3.679) | |||||
| Constipation | 1.65 (1.038–2.621) | |||||
| LIN XiaoDan, 2018 | Eastern country (China) | Case control study | Skipping breakfast | 2. 879 (1.479 −5.605) | ||
| Eat 2h before bed | 2. 402(1. 213 −4.756) | |||||
| Tea | 4.857 (2. 468–9. 559) | |||||
| Alcohol | 3.613 (1. 899 −6.874) | |||||
| Shortage of sleep | 2.832 (1. 501 −5.345) | |||||
| YUAN LinZHi, 2017 | Eastern country (China) | Case control study | Eating quickly | 3.214 (2.171– 4.759) | ||
| Eating beyond fullness | 2.936 (1.981–4.350) | |||||
| The belt too tight | 2.003 (1.013–3.961) | |||||
| Eating very hot foods | 1.570 (1.044~2.362) | |||||
| GAO HongLiang, 2012 | Eastern country (China) | Case control study | Spicy | 5.469 (2.57–11.64) | ||
| Constipation | 3.76 (1.592–8.884) | |||||
| YIN Yanwei, 2012 | Eastern country (China) | Cross–sectional study | Alcohol | 2.65 (1.03–6.81) | ||
| Eating beyond fullness | 2.81 (1.04–7.58) | |||||
| JIANG Xuan, 2011 | Eastern country (China) | Cross–sectional study | Alcohol | 2.63 (1.17–5.92) | ||
| Physical work | 1. 79 (1.13 −2.86) | |||||
| HU ShuiQing, 2009 | Eastern country (China) | Cross–sectional study | Eating beyond fullness | 2.78 (1.76–4.18) | ||
| Greasy food | 4.36 (2.61–9.08) | |||||
| Constipation | 2.06 (1.18–3.48) | |||||
| Mental stress | 2.11 (1.2–3.52.) | |||||
| ZHANG Hong, 2007 | Eastern country (China) | Cross–sectional study | Night shift | 1.381 (1.1113–1.713) | ||
| Physical labour | 2.043 (1.554–2.687) | |||||
| Eating beyond fullness | 1.775 (1.506–2.091) | |||||
| Greasy food | 1.506 (1.269–1.788) | |||||
| Strong tea | 1.572 (1.314–1.88) | |||||
| Sweet | 1.273 (1.075–1.508) | |||||
| Constipation | 1.724 (1.438–2.068) |
Abbreviations: GERD, gastroesophageal reflux disease; AOR, adjusted odds ratio.
The Main Findings Related to NERD Across the Articles
| First Author, Publication Year | Area (Country) | Clinical Study Design | Positive Related Factors | AOR (95% CI) | Negative Related Factors | AOR (95% CI) |
|---|---|---|---|---|---|---|
| Nobuyuki Matsuki, 2013 | Eastern country (Japan) | Cross–sectional study | Egg | 1.89 (1.01–3.5) | ||
| Strong psychological stress | 1.77 (1.18–2.62) | |||||
| Sleep shortage | 2.44 (1.54–3.88) | |||||
| Su Youn Nam, 2016 | Eastern country (Korea) | Cross–sectional study | Current smoker | 1.54 (1.29–1.84) | Beans | 0.78 (0.64–0.95) |
| Total energy intake | 1.07 (1.0–1.14) | Fruits | 0.78 (0.64–0.95) | |||
| Egg | 0.78 (0.64–0.96) | |||||
| Milk | 0.78 (0.65–0.94) | |||||
| Drink–tea | 0.62 (0.5–0.76) | |||||
| Ji Min Choi, 2018 | Eastern country (Korea) | Cross–sectional study | State anxiety | 1.89 (1.53–2.33) | Marriage status | 0.71 (0.58–0.87) |
| Rait anxiety | 1.78 (1.34–2.35) | |||||
| Depression | 2.21 (1.75–2.8) | |||||
| Current smoking | 1.37 (1.18–1.59). | |||||
| Juan Du, 2007 | Eastern country (China) | Cross–sectional study | Greasy food | 1.65 (1.16–2.36) | ||
| Constipation | 1.51 (1.01–2.25) | |||||
| CHEN LiPing, 2016 | Eastern country (China) | Case control study | Habit of midnight snacks | 2.752 (1.449–5.228) | ||
| Snore | 2.334 (1.361–4.004) | |||||
| Alcohol | 3.957 (1.067–14.673) | |||||
| Anxiety or depression | 2.723 (1.407–5.267) | |||||
| WANG Yi, 2018 | Eastern country (China) | Case control study | Raw or cold food | 5.47 (1.21–24.71) | ||
| Spicy | 3.36 (1.15–9.84) | |||||
| Eating beyond fullness | 9.98 (3.57–27.88) | |||||
| Anxiety | 4.09 (1.8–9.26) | |||||
| Depression | 2.21 (1.25–3.9) |
Abbreviations: NERD, nonerosive gastroesophageal reflux disease; AOR, adjusted odds ratio.
The Main Findings Related to RE Across the Articles
| First Author, Publication Year | Area (Country) | Clinical Study Design | Positive Related Factors | AOR (95% CI) | Negative Related Factors | AOR (95% CI) |
|---|---|---|---|---|---|---|
| Anna Boguradzka, 2011 | Western country (Australia) | Cross-sectional study | Alcohol–abusing | 7.34 (2.27–23.7) | ||
| Su Youn Nam, 2016 | Eastern country (Korea) | Cross–sectional study | Current smoker | 1.7 (1.44–2.01) | ||
| Current drinker | 1.26 (1.03–1.54) | |||||
| Total energy. | 1.08 (1.0–1.16) | |||||
| Ji Min Choi, 2018 | Eastern country (Korea) | Cross–sectional study | State anxiety, | 2.2 (1.27–3.81) | Marriage status | 0.45 (0.27–0.74) |
| Depression | 2.23 (1.18–4.22) | |||||
| Current smoking. | 2.28 (1.47–3.55) | |||||
| Hideyuki Chiba, 2012 | Eastern country (Japan) | Cross–sectional study | Alcohol | 1.398 (1.040–1.880) | ||
| Smoking | 1.884 (1.307–2.716) | |||||
| C. H. Park, 2012 | Eastern country (Korea) | Case control study | Smoking | 2.827 (1.932–4.664) | ||
| Coffee | 1.347 (1.131–1.428) | |||||
| Naomi Mochizuki, 2018 | Eastern country (Japan) | Cohort study | Current smoking | 1.34 (1.12–1.61) | ||
| Alcohol consumption 20 g/day | 1.57 (1.34–1.84) | |||||
| High levels of stress | 1.4 (1.17–1.68) | |||||
| Linda Sharp, 2013 | Western country (Ireland) | Case control study | Folate | 0.34 (0.18–0.64) | ||
| Vitamin B–6 | 0.30 (0.16–0.55) | |||||
| Vitamin B–2 | 0.35 (0.19–0.66). | |||||
| LESLEY A. ANDERSON, 2009 | Western country (Ireland) | Case control study | Total alcohol consumption at age 21 years | 2.24 (1.35–3.74) | Wine consumption at 5 Years Prior to Interview | 0.45 (0.27–0.75) |
| Helen G. Mulholland, 2009 | Western country (Ireland) | Case control study | Starch | 3.73 (I 1.2– 11.65) | ||
| Mark G. O’Doherty, 2011 | Western country (Ireland) | Case control study | Total fat | 3.54 (1.32–9.46) | ||
| Monounsaturated fat | 2.63 (1.01–6.86) | |||||
| Saturated fat | 2.79 (1.11–7.04) | |||||
| Processed meat | 4.67 (1.71–12.74) | |||||
| Qi Dai, 2016 | Western country (Ireland) | Case control study | Magnesium | 0.12 (0.02–0.73) | ||
| Seamus J. Murphy, 2010 | Western country (Ireland) | Case control study | Vitamin C | 0.46 (0.24–0.90) | ||
| Kun Wang, 2019 | Eastern country (China) | Cross–sectional study | Ever smoking | 1.416 (1.012–1.983) | ||
| Frequent liquid food consumption | 1.502 (1.076–2.095) | |||||
| S. Peng, 2009 | Eastern country (China) | Cross–sectional study | Alcohol | 3.22 (1.92–5.39) | ||
| Juan Du, 2007 | Eastern country (China) | Cross–sectional study | Strong tea drinking | 1.62 (1.18–2.23) | Divorced/widowed | 0.55 (0.36–0.85) |
Abbreviations: RE, reflux esophagitis; AOR, adjusted odds ratio.
The Main Findings Related to the BE Across the Articles
| First Author, Publication Year | Area (Country) | Clinical Study Design | Positive Related Factors | AOR (95% CI) | Negative Related Factors | AOR (95% CI) |
|---|---|---|---|---|---|---|
| Olivia M Thompson, 2009 | Western country(American) | Case control study | Vegetables | 0.33 (0.17–0.63) | ||
| Vegetables and fruit | 0.39 (0.21–0.75) | |||||
| Ai Kubo, 2004 | Western country(American) | Case control study | Wine drinkers | 0.44 (0.2–0.99) | ||
| Li Jiao, 2013 | Western country(American) | Case control study | Dark green vegetables | 0.46 (0.26–0.81) | ||
| Legumes | 0.52 (0.30–0.90) | |||||
| Total fiber | 0.50 (0.28–0.90) | |||||
| Isoflavones | 0.45 (0.25–0.81) | |||||
| Total folate | 0.52 (0.30–0.67) | |||||
| Vitamin E | 0.46 (0.26–0.83) | |||||
| Lutein | 0.45 (0.26–0.79) | |||||
| Jessica L. Petrick, 2015 | Western country(American) | Case control study | Anthocyanidins | 0.49 (0.30–0.80) | ||
| Douglas A. Corley, 2008 | Western country(American) | Case control study | Dietary iron intakes | 0.37 (0.17–0.80). | ||
| Stephen Lam, 2017 | Western country(UK) | Cohort study | Standing occupation | 0.51 (0.31–0.83) | ||
| Linda Sharp, 2013 | Western country (Ireland) | Case control study | Vitamin B-12 | 2.11 (1.12–3.98) | Folate | 0.40 (0.21–0.75) |
| Vitamin B–6 | 0.31 (0.16–0.58) | |||||
| Helen G. Mulholland, 2009 | Western country (Ireland) | Case control study | Fiber | 0.40 (0.22–0.73) | ||
| Qi Dai, 2016 | Western country (Ireland) | Case control study | Magnesium | 0.24 (0.06–0.96) | ||
| Nitin Shivappa, 2017 | Western country (Ireland) | Case control study | Dietary inflammatory index | 2.05 (1.22–3.47) | ||
| RA Filiberti, 2017 | Western country (Italy) | Case control study | Former coffee drinkers higher with duration cup per day >1 | 3.79 (1.31–11.0) | ||
| Aaron P. Thrift, 2011 | Western country (Australia) | Case control study | Beer | 0.49 (0.25–0.96) | ||
| Torukiri I. Ibiebele, 2013 | Western country (Australia) | Case control study | Fruits | 1.83 (1.02–3.29) | Total β-carotene | 0.45 (0.20–1.00) |
| Jessie Steevens, 2010 | Western country (Netherland) | Cohort study | Former cigarette smokers | 1.33 (1.00–1.77) | ||
| Yan-Hua Chen, 2019 | Eastern country(China) | Cross–sectional study | Tea | 1.695 (1.043–2.754) | ||
| S. Peng, 2009 | Eastern country(China) | Cross–sectional study | Alcohol consumption | 2.67 (1.09–6.56) | ||
| YIN CaiQiao, 2016 | Eastern country(China) | Cross–sectional study | High fat high | 2.216 (1.06–2.695) | ||
| P. J. Veugelers, 2006 | Western country (Canada) | Case-control study | Liquor | 3.06 (1.23–7.62) | Vitamin C | 0.44 (0.2-0.98) |
Abbreviations: BE, Barrett’s esophagus; AOR, adjusted odds ratio.