Dietary patterns and serum gamma-glutamyl transferase in Japanese men and women.

Dietary patterns and serum gamma-glutamyl transferase in Japanese men and women.
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DOI:
10.2188/jea.je20140158
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发表时间:
2015
影响因子:
4.7
通讯作者:
Tanaka K
Tanaka K
中科院分区:
医学3区
文献类型:
--
作者:
Nanri H;Hara M;Nishida Y;Shimanoe C;Nakamura K;Higaki Y;Imaizumi T;Taguchi N;Sakamoto T;Horita M;Shinchi K;Kokaze A;Tanaka K

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虽然已经研究了特定食物和营养素作为血清γ -谷氨酰转移酶(GGT)浓度的潜在决定因素,但饮食模式与GGT之间的关系尚不清楚。本横断面研究旨在确定饮食模式与GGT浓度之间的关系,以及生活方式因素对GGT的影响。研究分析了9803名日本人(3723名男性和6080名女性,年龄在40-69岁之间)饮食模式与GGT之间的关系,这些人没有肝脏疾病史或血清转氨酶升高。我们通过因子分析从一份经过验证的短食物频率问卷中确定的46个项目来检查主要的饮食模式。我们将饮食模式定义为健康、西式、海鲜、面包和甜点。健康模式与男性(最高四分位数vs最低四分位数的比值比[OR]为0.72;95%可信区间[CI]为0.57-0.92;P < 0.01)和女性(OR为0.82;95% CI为0.66-1.0;P = 0.05)的GGT呈负相关,而海鲜模式与男性(OR为1.27;95% CI为1.01-1.61;P = 0.03)和女性(OR为1.21;95% CI为0.98-1.49;P = 0.05)的GGT呈正相关。男性特异性的GGT与面包和甜点模式呈负相关(OR为0.63;95% CI为0.50-0.80;OR为0.53;95% CI为0.41-0.68;两种趋势的P < 0.01)。在男性中,海鲜或面包模式和酒精消费与GGT显著相互作用(P = 0.03和<0.01),在女性中,甜点模式和体重指数或吸烟习惯之间(P = 0.03和<0.01)。饮食模式可能是GGT的重要决定因素,其可能的临床意义值得进一步研究。
Although specific foods and nutrients have been examined as potential determinants of serum gamma-glutamyl transferase (GGT) concentrations, the relationship between dietary patterns and GGT remains unknown. The present cross-sectional study aimed to determine relationships between dietary patterns and GGT concentrations, and the effects of lifestyle factors on GGT. Relationships between dietary patterns and GGT were analyzed in 9803 Japanese individuals (3723 men and 6080 women age 40–69 years) without a history of liver diseases or elevated serum aminotransferase. We examined major dietary patterns by factor analysis of 46 items determined from a validated, short food frequency questionnaire. We defined dietary patterns as healthy, Western, seafood, bread, and dessert. The healthy pattern was inversely related to GGT in men (odds ratio [OR] for highest vs lowest quartile, 0.72; 95% confidence interval [CI], 0.57–0.92; P < 0.01 for trend) and women (OR 0.82; 95% CI, 0.66–1.0; P = 0.05 for trend), whereas the seafood pattern was positively related to GGT in men (OR 1.27; 95% CI, 1.01–1.61; P = 0.03 for trend) and women (OR 1.21; 95% CI, 0.98–1.49; P = 0.05 for trend). Male-specific inverse associations with GGT were found for bread and dessert patterns (OR 0.63; 95% CI, 0.50–0.80 and OR 0.53; 95% CI, 0.41–0.68, respectively; P < 0.01 for both trends). Seafood or bread patterns and alcohol consumption significantly interacted with GGT in men (P = 0.03 and <0.01 for interaction, respectively) and between the dessert pattern and body mass index or smoking habit in women (P = 0.03 and <0.01, respectively, for interaction). Dietary patterns may be important determinants of GGT, and their possible clinical implications warrant further investigation.