| Literature DB >> 31711498 |
Yang Xia1, Xuena Wang2, Shunmin Zhang2, Qing Zhang3, Li Liu3, Ge Meng2, Hongmei Wu2, Xue Bao2, Yeqing Gu2, Shaomei Sun3, Xing Wang3, Ming Zhou3, Qiyu Jia3, Kun Song3, Qijun Wu1, Kaijun Niu4,5, Yuhong Zhao6.
Abstract
BACKGROUND: Previous studies have reported that tea extract supplementation has potential benefits on the risk factors of non-alcoholic fatty liver disease (NAFLD); however, no study has investigated the direct effect of daily tea consumption on the prevalence of NAFLD in the general population. This cross-sectional study aimed to evaluate the associations between tea consumption and the prevalence of newly diagnosed NAFLD among Chinese adults.Entities:
Keywords: Non-alcoholic fatty liver disease; Prevalence; Tea consumption
Year: 2019 PMID: 31711498 PMCID: PMC6849323 DOI: 10.1186/s12937-019-0502-y
Source DB: PubMed Journal: Nutr J ISSN: 1475-2891 Impact factor: 3.271
Age- and sex- adjusted characteristics according to NAFLD status a
| Characteristics | NAFLD status | ||
|---|---|---|---|
| No ( | Yes ( | ||
| Sex (male %) | 46.6 | 81.6 | < 0.0001 |
| Age (y) | 37.5 (37.4, 37.7) a | 41.3 (41.0, 41.7) | < 0.0001 |
| BMI | 22.9 (22.8, 23.0) | 27.2 (27.1, 27.3) | < 0.0001 |
| Physical activity (Mets × hours/week) | 10.5 (10.2, 10.7) | 10.2 (9.8, 10.6) | 0.31 |
| Energy intake (kJ/d) | 8457.9 (8420.3, 8496.0) | 8257.0 (8180.4, 8334.9) | < 0.0001 |
| Education (≥college graduate, %) | 71.2 | 59.9 | < 0.0001 |
| Household income (≥10,000 Yuan, %) | 33.4 | 31.6 | 0.04 |
| ALT (U/L) | 15.3 (15.2, 15.4) | 25.0 (24.6, 25.4) | < 0.0001 |
| Type 2 diabetes (%) | 1.3 | 8.4 | < 0.0001 |
| Hypertension (%) | 12.7 | 40.3 | < 0.0001 |
| Hyperlipidaemia (%) | 31.1 | 66.3 | < 0.0001 |
| Dietary pattern score (multiply by 100) | |||
| Sweets foods pattern | 0.3 (−1.3, 1.9) | −2.4 (− 5.7, 0.9) | 0.15 |
| Vegetable pattern | 2.2 (0.7, 3.8) | −6.4 (−9.6, − 3.1) | < 0.0001 |
| Animal foods pattern | 1.7 (0.2, 3.3) | −2.1 (− 5.3, 1.1) | 0.04 |
| Smoking status (%) | |||
| Smoker | 14.0 | 27.6 | < 0.0001 |
| Ex-smoker | 3.5 | 6.2 | < 0.0001 |
| Non-smoker | 82.5 | 66.2 | < 0.0001 |
| Drinker (%) | |||
| Everyday | 3.6 | 2.1 | < 0.0001 |
| Sometime | 52.6 | 61.7 | < 0.0001 |
| Ex-drinker | 10.3 | 12.4 | < 0.001 |
| Non-drinker | 33.4 | 23.7 | < 0.0001 |
| Employment status (%) | |||
| Managers | 44.6 | 39.7 | < 0.0001 |
| Professionals | 16.0 | 16.7 | 0.29 |
| Other | 39.5 | 43.6 | < 0.0001 |
| Family history of diseases (%) | |||
| CVD | 26.0 | 22.4 | < 0.0001 |
| Hypertension | 46.6 | 47.3 | 0.44 |
| Diabetes | 23.1 | 27.7 | < 0.0001 |
a NAFLD, non-alcoholic fatty liver disease; CVD, cardiovascular disease; BMI, body mass index; ALT, alanine aminotransferase
b Analysis of variance or chi-square test with adjustments for age and sex where is appropriate
c Least square mean (95% confidence interval) (all such values)
Association between tea consumption and NAFLD *
| Tea | Categories of tea consumption ( | ||||
|---|---|---|---|---|---|
| Almost never | < 1 cup/week | 1–6 cups/week | ≥ 1 cup/day | ||
| Green tea | |||||
| No. of participants | 6716 | 4969 | 4764 | 2910 | |
| No. of NAFLD patients (%) | 1198 (17.84) | 881 (17.73) | 976 (20.49) | 706 (24.34) | |
| Crude model | Ref | 0.99 (0.90, 1.09) b | 1.19 (1.08, 1.30) | 1.48 (1.33, 1.65) | < 0.0001 |
| Adjusted model 1 c | Ref | 0.99 (0.88, 1.12) | 0.98 (0.87, 1.11) | 0.99 (0.86, 1.13) | 0.77 |
| Adjusted model 2 d | Ref | 1.05 (0.90, 1.22) | 1.04 (0.89, 1.20) | 1.04 (0.88, 1.22) | 0.65 |
| Oolong tea | |||||
| No. of participants | 9083 | 4937 | 3551 | 1779 | |
| No. of NAFLD patients (%) | 1669 (18.37) | 895 (18.13) | 749 (21.09) | 448 (25.18) | |
| Crude model | Ref | 0.98 (0.90, 1.08) | 1.19 (1.08, 1.31) | 1.50 (1.33, 1.68) | < 0.0001 |
| Adjusted model 1 c | Ref | 0.94 (0.84, 1.05) | 0.95 (0.84, 1.07) | 1.05 (0.90, 1.22) | 0.99 |
| Adjusted model 2 d | Ref | 0.92 (0.79, 1.07) | 0.97 (0.83, 1.15) | 1.04 (0.86, 1.25) | 0.80 |
| Black tea | |||||
| No. of participants | 9227 | 5154 | 3350 | 1619 | |
| No. of NAFLD patients (%) | 1740 (18.86) | 968 (18.78) | 681 (20.33) | 372 (22.98) | |
| Crude model | Ref | 1.00 (0.91, 1.09) | 1.10 (0.99, 1.21) | 1.28 (1.13, 1.46) | < 0.001 |
| Adjusted model 1 c | Ref | 1.04 (0.93, 1.16) | 0.90 (0.79, 1.02) | 1.04 (0.89, 1.22) | 0.57 |
| Adjusted model 2 d | Ref | 1.10 (0.96, 1.26) | 0.91 (0.78, 1.07) | 0.99 (0.83, 1.19) | 0.42 |
| Jasmine tea | |||||
| No. of participants | 10,736 | 4764 | 2341 | 1509 | |
| No. of NAFLD patients (%) | 2033 (18.94) | 849 (17.82) | 515 (22.00) | 364 (24.12) | |
| Crude model | Ref | 0.93 (0.85, 1.01) b | 1.21 (1.08, 1.35) | 1.36 (1.20, 1.54) | < 0.001 |
| Adjusted model 1 c | Ref | 0.91 (0.82, 1.02) | 0.98 (0.85, 1.12) | 0.96 (0.82, 1.13) | 0.46 |
| Adjusted model 2 d | Ref | 0.90 (0.79, 1.03) | 1.06 (0.90, 1.24) | 0.93 (0.78, 1.11) | 0.68 |
* NAFLD, non-alcoholic fatty liver disease;
a Multiple conditional logistic regression analysis
b Odds ratios (95% confidence interval) (all such values)
c Adjusted for age, BMI, and sex
d Adjusted for age, BMI, sex, energy intake (kJ/d), type 2 diabetes, hypertension, hyperlipidaemia, physical activity, educational level, household income, smoking status, drinking status, employment status, family history of CVD, cancer, and diabetes, intake of sweet foods pattern, vegetable pattern and animal foods pattern, and consumption of other two kinds of tea