| Literature DB >> 20727127 |
Wei-Hua Jia1, Xiang-Yu Luo, Bing-Jian Feng, Hong-Lian Ruan, Jin-Xin Bei, Wen-Sheng Liu, Hai-De Qin, Qi-Sheng Feng, Li-Zhen Chen, Shugart Yin Yao, Yi-Xin Zeng.
Abstract
BACKGROUND: Nasopharyngeal carcinoma (NPC) is rare in most parts of the world but is a common malignancy in southern China, especially in Guangdong. Dietary habit is regarded as an important modifier of NPC risk in several endemic areas and may partially explain the geographic distribution of NPC incidence. In China, rapid economic development during the past few decades has changed the predominant lifestyle and dietary habits of the Chinese considerably, requiring a reassessment of diet and its potential influence on NPC risk in this NPC-endemic area.Entities:
Mesh:
Year: 2010 PMID: 20727127 PMCID: PMC2931495 DOI: 10.1186/1471-2407-10-446
Source DB: PubMed Journal: BMC Cancer ISSN: 1471-2407 Impact factor: 4.430
Demographic characteristics and socioeconomic status of the study populations
| Variables | Case (%) | Control (%) | |
|---|---|---|---|
| Sex | |||
| Male | 1025(74) | 1038(71) | 0.100 |
| Female | 362(26) | 421(29) | |
| Age | |||
| Mean | 46.92 | 47.34 | |
| (SD) | 11.34 | 11.64 | |
| < 30 | 84(6) | 78(5) | 0.564 |
| 30-40 | 323(23) | 352(24) | |
| 41-50 | 442(32) | 431(30) | |
| 51-60 | 371(27) | 414(28) | |
| > 60 | 167(12) | 184(13) | |
| Dialect | |||
| Hakka | 219(16) | 206(14) | 0.603 |
| Cantonese | 917(66) | 971(67) | |
| Hokkien | 133(10) | 146(10) | |
| Others | 116(8) | 132(9) | |
| Education | |||
| None or primary school | 282(20) | 297(20) | 0.998 |
| Secondary school | 373(27) | 391(27) | |
| High school | 459(33) | 479(33) | |
| University or more | 269(20) | 286(20) | |
| Household type | |||
| Rural | 965(70) | 1018(70) | 0.874 |
| Urban | 412(30) | 429(30) |
Association of dietary factors with NPC
| Intake frequency * | Adulthood | Childhood | ||
|---|---|---|---|---|
| Case/Ctrl | OR(95%CI)# | Case/Ctrl | OR (95%CI)# | |
| Salted fish | ||||
| Less than monthly (ref) | 1085/1272 | 1.0 | 724/1075 | 1.0 |
| Monthly | 162/80 | 2.39(1.80-3.17) | 236/116 | 3.04(2.38-3.87) |
| Weekly or more | 128/98 | 1.58(1.20-2.09) | 415/254 | 2.45(2.03-2.94) |
| | < 0.001 | < 0.001 | ||
| Salted vegetables | ||||
| Less than monthly (ref) | 970/1252 | 1.0 | 551/962 | 1.0 |
| Monthly | 218/85 | 3.31(2.54-4.31) | 204/129 | 2.72(2.13-3.48) |
| Weekly or more | 190/113 | 2.20(1.71-2.82) | 624/355 | 3.17(2.68-3.77) |
| | < 0.001 | < 0.001 | ||
| Preserved/cured meat | ||||
| Less than monthly (ref) | 606/1256 | 1.0 | 859/1242 | 1.0 |
| Monthly | 170/46 | 7.80(5.33-11.39) | 55/49 | 1.67(1.09-2.54) |
| Weekly or more | 157/37 | 9.69(6.39-14.70) | 35/27 | 2.09(1.22-3.60) |
| | < 0.001 | 0.001 | ||
| Fermented pastes | ||||
| Less than monthly (ref) | 1243/1301 | 1.0 | 1056/1203 | 1.0 |
| Monthly | 76/44 | 1.82(1.24-2.66) | 149/80 | 2.12(1.59-2.82) |
| Weekly or more | 56/106 | 0.57(0.41-0.79) | 174/164 | 1.22(0.97-1.54) |
| | 0.157 | 0.001 | ||
| Fresh fruits | ||||
| Less than monthly (ref) | 299/234 | 1.0 | 1176/797 | 1.0 |
| Monthly | 138/91 | 1.22(0.85-1.76) | 92/166 | 0.38(0.28-0.50) |
| Weekly or more | 936/1126 | 0.63(0.51-0.77) | 106/481 | 0.12(0.09-0.16) |
| | 0.157 | 0.001 | ||
* Intake frequency was categorised as follows: less than monthly, < once per month; monthly, once per month to once per week; weekly or more, ≥ once per week.
# OR, odds ratio calculated among matched case and control groups, adjusting for sex, age, education, dialect and household type.
Relationship between dietary habits with Chinese herbs and NPC
| Intake frequency * and duration | Case/Ctrl | OR (95%CI)# | |
|---|---|---|---|
| Herbal tea habit | |||
| Less than monthly (ref) | 439/347 | 1.0 | |
| Monthly | 425/717 | 0.46(0.38-0.56) | < 0.0001 |
| Weekly or more | 369/347 | 0.84(0.68-1.03) | |
| Herbal tea (years) | |||
| Less than monthly (ref) | 439/347 | 1.0 | |
| 1-9 | 237/237 | 0.81(0.64-1.03) | < 0.0001 |
| 10-19 | 88/320 | 0.22(0.16-0.29) | |
| ≥20 | 146/457 | 0.25(0.19-0.31) | |
| Slow-cooked soup habit | |||
| Less than monthly (ref) | 313/214 | 1.0 | |
| Monthly | 39/42 | 0.49(0.27-0.87) | < 0.001 |
| Weekly or more | 996/1184 | 0.58(0.47-0.72) | |
| Slow-cooked soup (years) | |||
| Less than monthly (ref) | 313/214 | 1.0 | |
| 1-9 | 146/142 | 0.67(0.50-0.90) | < 0.0001 |
| 10-19 | 310/380 | 0.53(0.42-0.67) | |
| ≥20 | 250/659 | 0.22(0.18-0.28) |
* Intake frequency was categorised as follows: less than monthly, < once per month; monthly, once per month to once per week; weekly or more, ≥ once per week; daily, ≥ once per day.
# OR, odds ratio calculated among matched case and control groups, adjusting for sex, age, education, dialect and household type.
Multivariate analyses of dietary factors*
| Dietary Factors | OR# | 95%CI | |
|---|---|---|---|
| Salted fish in childhood | |||
| Less than monthly(ref) | 1.00 | ||
| Monthly | 2.42 | 1.65-3.54 | < 0.001 |
| Weekly or more | 1.57 | 1.16-2.13 | 0.003 |
| Salted vegetables in childhood | |||
| Less than monthly(ref) | 1.00 | ||
| Monthly | 1.28 | 0.87-1.89 | 0.215 |
| Weekly or more | 1.81 | 1.37-2.40 | < 0.001 |
| Salted vegetables in adulthood | |||
| Less than monthly(ref) | 1.00 | ||
| Monthly | 2.23 | 1.46-3.40 | < 0.001 |
| Weekly or more | 1.79 | 1.19-2.68 | 0.005 |
| Fresh fruits in childhood | |||
| Less than monthly(ref) | 1.00 | ||
| Monthly | 0.31 | 0.20-0.47 | < 0.001 |
| Weekly or more | 0.13 | 0.09-0.18 | < 0.001 |
| Preserved and cured meat in adulthood | |||
| Less than monthly(ref) | 1.00 | ||
| Monthly | 8.32 | 5.46-12.69 | < 0.001 |
| Weekly or more | 12.39 | 7.60-20.19 | < 0.001 |
| Herbal tea habit | |||
| Less than monthly(ref) | 1.00 | ||
| Monthly | 0.35 | 0.27-0.47 | < 0.001 |
| Weekly or more | 0.57 | 0.41-0.78 | 0.001 |
| Slow-cooked soup habit | |||
| Less than monthly(ref) | 1.00 | ||
| Monthly | 0.44 | 0.21-0.93 | 0.031 |
| Weekly or more | 0.49 | 0.37-0.65 | < 0.001 |
*Logistic regression model was built by a stepwise forward method with inclusion criteria p ≤ 0.01.
Both of the dietary consumptions in childhood and adulthood were used in the multivariate analysis.
#OR, odds ratio calculated among matched case and control groups, adjusting for sex, age, education, dialect and household type.