| Literature DB >> 28875961 |
Yu-Heng Chen1, Xiao-Nong Zou2, Tong-Zhang Zheng3, Qi Zhou4, Hui Qiu4, Yuan-Li Chen2, Mei He4, Jia Du4, Hai-Ke Lei4, Ping Zhao1.
Abstract
BACKGROUND: : Studies on the association between spicy food intake and cancer risk have reported inconsistent results. We quantitatively assessed this association by conducting a meta-analysis based on evidence from case-control studies.Entities:
Mesh:
Year: 2017 PMID: 28875961 PMCID: PMC5598338 DOI: 10.4103/0366-6999.213968
Source DB: PubMed Journal: Chin Med J (Engl) ISSN: 0366-6999 Impact factor: 2.628
Figure 1Flowchart of meta-analysis for exclusion or inclusion of individual articles. OR: Odds ratio; CI: Confidence interval.
Characteristics of studies included in the meta-analysis
| Author, year | Country | Study period | Sex* | Exposure (all spicy food) | Number of cases/controls | Types of cancer† | Comparison (highest vs. lowest) | Adjusted | Adjusted variables | NOS score |
|---|---|---|---|---|---|---|---|---|---|---|
| Al-Qadasi | Yemen | 2014 | C | Chili pepper | 70/140 | GC | Yes versus no | 1.20 (0.58–2.47) | No description | 6 |
| Mahfouz | Egypt | 2010–2011 | C | Consumption of spicy food (e.g., chili) | 150/300 | CRC | Higher versus no | 4.2 (1.7–9.9) | Red meat, preserved food, artificial sweeteners, fast foods, smoking, soft drinks, processed meat, pickles, tea, obesity, alcohol | 8 |
| Wu | China | 2009–2011 | C | Frequent ingestion of spicy food | 501/523 | GC | Yes versus no | 5.93 (3.73–9.42) | No description | 5 |
| Zhivotovskiy | Siberia | 2011–2012 | C | Spicy food | 185/210 | CRC | Yes versus no | 2.87 (1.9–4.33) | No description | 5 |
| Ibiebele | Australia | 2001–2005 | C | Frequency of consumption of spicy food (e.g., chili, curry, tabasco peppers) | 286/1472 | EAC | 1 per week versus never | 1.00 (0.51–1.97) | Age, gender, cumulative history of smoking in pack-years, lifetime mean alcohol intake, heartburn and acid reflux symptoms, BMI in previous year, education status, aspirin use in previous 5 years, total fruit and vegetable intake, total energy intake in kilojoules | 9 |
| 320/1472 | EGJAC | 0.75 (0.39–1.45) | ||||||||
| 238/1472 | ESCC | 0.86 (0.41–1.78) | ||||||||
| Joshi | India | 2005–2006 | C | Spicy food/snacks, etc. | 94/94 | EC | Too spicy versus mild or almost nil | 0.49 (0.34–1.57) | No description | 5 |
| Nakadarira | Hungary | F | Hungarian sweet pepper | 41/30 | GBC | Yes versus no | 4.0 (0.7–22.3) | Age | 6 | |
| Hungarian hot pepper | 41/30 | 8.4 (2.3–30.4) | ||||||||
| Zhang | Korea | 2000–2005 | C | Kimchi (containing red pepper power) | 471/471 | GC | High versus low | 3.27 (2.44–4.37) | Age, sex, total energy intake | 7 |
| Shen | China | 1985–1990 | C | Peppers | 498/498 | LC | Frequently versus rarely and sometimes | 0.36 (0.25–0.53) | Age, sex, literacy, lung cancer in first-degree relatives, hours spent at home per day, nonmalignant lung disease history, coal mine work history, ever smoking, passive smoking, coal type at birth, having enough food | 9 |
| Do | Korea | 1999–2003 | Post-F | Pepper | 163/316 | BC | High versus low | 0.62 (0.43–0.96) | Age, education, age at menarche, family history of breast cancer, age at first live birth, age at menopause, total duration of breastfeeding, physical activity, total menstruation period, BMI, alcohol consumption, cigarette smoking, frequency of exercise, total energy intake, fat intake, fruit intake, vegetable intake, Vitamins A, C, E, and vitamin supplementation | |
| Feng | Maghreb | 2002–2005 | C | Spicy preserved meet | 636/615 | NPC | ≥10 times/year versus <10 times/year | 1.5 (0.6–3.8) | Age, socioeconomic status, exposure to toxic substances | 8 |
| Wang | China | 2004–2006 | M | Chili intake | 223/252 | ESCC | Often versus seldom | 3.38 (2.12–5.39) | Age, marital status, education years | 8 |
| Goh | Malaysia | C | Chili intake | 87/174 | GC | Heavy versus low/none | 0.18 (0.09–0.34) | No description | 5 | |
| Kapil | India | 2000–2002 | C | Spicy food | 305/305 | LC | Yes versus no | 2.33 (1.65–3.29) | No description | 5 |
| Hung | China | 1996–2002 | C | Spicy condiments (containing red pepper) at age ≥40 years | 266/443 | EC | ≥1 time/week versus <1 time/week | 1.5 (0.9–2.4) | Age, education levels, ethnicity, source of hospital, smoking, alcohol drinking, areca nut chewing | 9 |
| Lopez-Carrillo | Mexico | 1994–1996 | C | Capsaicin intake (mg/d) | 234/468 | GC | 90–250 versus 0–29.9 | 1.7 (0.76–3.88) | Age, sex, energy, schooling, fruit intake, vegetable intake, processed meat consumption, tobacco smoking, alcohol consumption, other variables | 8 |
| Lee | Korea | 1999 | C | Kimchi (containing red pepper) | 69/199 | GC | ≥2/day versus <2/day | 1.9 (1.3–2.8) | Age, sex, education, family history of gastric cancer, smoking, drinking, | 7 |
| Serra | Chile | 1992–1995 | C | Red chili pepper | 114/114 | GBC | >20 g/day versus <20 g/day | 2.5 (1.2–5.2) | Low socioeconomic status, fried foods, schooling | 8 |
| Green chili pepper | 114/114 | GBC | 1.4 (0.6–3.5) | |||||||
| Petro-Nustas | Jordan | 1996 | F | Spicy food | 100/100 | BC | Always versus never | 1.5 (0.31–5.13) | No description | 8 |
| Kim | Korea | 1997–1998 | C | Baechu kimchi | 136/136 | GC | High versus low | 0.50 (0.25–1.01) | Sex, age, socioeconomic status, family history, refrigerator use | 7 |
| Pandey | India | C | Green chili | 64/101 | GBC | Yes versus no | 0.45 (0.21–0.94) | No description | 5 | |
| Red chili | 64/101 | 1.29 (0.6–2.74) | ||||||||
| Phukan | India | 1997–1998 | C | Chili intake | 502/1004 | EC | Very high versus moderate chili intake | 3.6 (1.8–8.6) | Education, income, chewing betel nuts and tobacco, smoking, alcohol use | 9 |
| Mathew | India | 1988–1991 | C | Chillies | 194/305 | GC | Very hot versus bland | 7.4 (4.0–13.5) | Age, sex, religion, education, smoking, alcohol habits | 9 |
| Gajalakshmi | India | 1988–1990 | C | Chillies | 388/388 | GC | Hot versus medium | 2.8 (1.73–4.54) | Chewing habit, factors significant in the multivariate model of dietary item analysis, income group, educational level, area of residence | 7 |
| Lee | Korea | 1990–1991 | C | Hot pepper-soybean paste stew | 213/213 | GC | ≥2–3 times/week versus none or 4–5 times/year | 4.2 (1.5–12.0) | Age, sex, education, economic status, residence, mutually adjusted for the other dietary factors | 8 |
| Lopez-Carrillo | Mexico | 1989–1990 | C | Chili pepper consumption | 220/752 | GC | Yes versus no | 9.22 (3.84–22.12) | Age, sex, fruit, vegetables, processed meat, beans, alcohol, salt added after cooking food, cigarette smoking, socioeconomic status, history of peptic ulcer, chili pepper consumption variable of internet | 9 |
| Notani | India | 1976–1984 | C | Red chili powder use, g·cu−1·month−1 | 278/177 | OC | ≥75 versus <75 | 3.64 (2.1–6.4) | Age, tobacco habits | 8 |
| 225/177 | PC | 2.17 (1.2–3.9) | ||||||||
| 80/177 | EC | 2.20 (1.3–3.8) | ||||||||
| 215/177 | LC | 2.75 (1.2–6.3) | ||||||||
| Tajima | Japan | 1981–1983 | C | Green pepper | 93/186 | GC | ≥1 per week versus <1 per week | 2.01 (1.17–3.52) | Age, sex | 7 |
| 42/186 | CC | 1.70 (0.80–2.72) | ||||||||
| 51/186 | RC | 1.22 (0.94–1.49) |
*M: Male; F: Female; Post-F: Postmenopausal females; C: Combined males and females. †Types of cancer: BC; GC; CRC; EAC; EGJAC; ESCC; EC; GBC; NPC; LC; OC; PC; CC; RC. BC: Breast cancer; GC: Gastric cancer; CRC: Colorectal cancer; EAC: Esophageal adenocarcinoma; EGJAC: Esophagogastric junction adenocarcinoma; ESCC: Esophageal squamous cell carcinoma; EC: Esophageal cancer; GBC: Gallbladder cancer; NPC: Nasopharyngeal carcinoma; LC: Laryngeal cancer; OC: Oral cancer; PC: Pharyngeal cancer; CC: Colon cancer; RC: Rectal cancer; BMI: Body mass index; NOS: Newcastle–Ottawa scale; CI: Confidence interval; OR: Odds ratio.
Figure 2Forest plot of association between high spicy food intake and cancer risk.
Subgroup analyses of association between high spicy food intake and cancer risk
| Subgroups | All spicy food | Chili pepper | ||||||
|---|---|---|---|---|---|---|---|---|
| Number of studies | Number of studies | |||||||
| Regions | ||||||||
| Asian | 28 | 1.66 (1.22–2.27) | 90.6 | <0.001 | 18 | 1.53 (1.01–2.32) | 91.1 | <0.001 |
| Non-Asian | 11 | 2.07 (1.25–3.43) | 73.7 | <0.001 | 5 | 3.84 (1.77–8.33) | 65.1 | 0.022 |
| Sex* | ||||||||
| F | 5 | 1.93 (0.72–5.23) | 79.7 | 0.001 | 4 | 2.10 (0.63–6.97) | 84.4 | <0.001 |
| C | 33 | 1.71 (1.29–2.27) | 88.8 | <0.001 | 18 | 1.72 (1.12–2.65) | 90.6 | <0.001 |
| Number of cases | ||||||||
| ≥200 | 18 | 2.15 (1.45–3.18) | 89.4 | <0.001 | 8 | 2.59 (1.19–5.61) | 93.3 | <0.001 |
| <200 | 21 | 1.46 (1.03–2.08) | 86.0 | <0.001 | 15 | 1.48 (0.96–2.28) | 86.8 | <0.001 |
| Cancer type† | ||||||||
| GC | 12 | 2.16 (1.26–3.71) | 91.3 | <0.001 | 6 | 2.07 (0.73–5.91) | 94.0 | <0.001 |
| EC | 9 | 1.43 (0.92–2.22) | 77.1 | <0.001 | 4 | 2.75 (2.04–3.70) | 9.6 | 0.345 |
| GBC | 6 | 1.78 (0.83–3.83) | 75.0 | 0.001 | 6 | 1.78 (0.83–3.83) | 75.0 | 0.001 |
| Others | 12 | 1.67 (1.07–2.60) | 90.0 | <0.001 | 7 | 1.34 (0.75–2.40) | 91.7 | <0.001 |
| Controls | ||||||||
| Community-based | 17 | 1.91 (1.19–3.07) | 89.4 | <0.001 | 10 | 2.69 (1.34–5.38) | 92.6 | <0.001 |
| Hospital-based | 22 | 1.65 (1.20–2.29) | 87.9 | <0.001 | 13 | 1.30 (0.85–1.99) | 84.9 | <0.001 |
| NOS score | ||||||||
| ≥7 | 29 | 1.87 (1.40–2.48) | 86.9 | <0.001 | 17 | 2.13 (1.42–3.19) | 90.1 | <0.001 |
| <7 | 10 | 1.48 (0.74–2.97) | 91.9 | <0.001 | 6 | 1.12 (0.41–3.09) | 87.5 | <0.001 |
*F: Females; C: Combined males and females. †Cancer type: GC; EC; GBC; Others included breast cancer, colorectal cancer, laryngeal cancer, oral cancer, and pharyngeal cancer. GC: Gastric cancer; EC: Esophageal cancer; GBC: Gallbladder cancer; OR: Odds ratio; CI: Confidence interval; NOS: Newcastle–Ottawa scale.
Figure 3Funnel plot of studies evaluating the association between high spicy food intake and cancer risk. Dotted lines indicate 95% pseudo-confidence interval. SE: Standard error; OR: Odds ratio. Egger's test (P = 0.714) Begg's test (P = 0.942).