中华预防医学杂志
中華預防醫學雜誌
중화예방의학잡지
CHINESE JOURNAL OF
2013年
2期
135-141
,共7页
洪忻%李解权%王志勇%梁亚琼%杨华凤%徐斐
洪忻%李解權%王誌勇%樑亞瓊%楊華鳳%徐斐
홍흔%리해권%왕지용%량아경%양화봉%서비
高血糖症%膳食%随访研究%因子分析
高血糖癥%膳食%隨訪研究%因子分析
고혈당증%선식%수방연구%인자분석
Hyperglycemia%Diet%Follow-up studies%Factor analysis
目的 探索南京居民不同膳食模式与高血糖发病风险的关系.方法 采用多阶段分层随机整群抽样方法,于2007年6-9月对南京市2个城区的7个社区内的30岁以上的常住居民开展基线调查,符合条件的调查对象共3376名,剔除已确诊的高血糖患者(476例),将2900例非高血糖的人群作为本研究的基线样本,于2010年6-9月对非高血糖人群进行随访调查.采用专门设计的食物频数量表(FFQ),应用因子分析方法建立膳食模式,采用多因素线性和Cox回归模型分析不同膳食模式与高血糖发病风险的关联.结果 3年后共随访2093名,随访率为72.2%.高血糖3年累计发病率为7.5%(158/2093);男女发病率分别为7.1%(62/873)、7.9%(96/1220),差异无统计学意义(x2=0.43,P=0.513).通过因了分析得到5种膳食模式:调味品膳食模式、动植物蛋白膳食模式、传统健康膳食模式、甜食膳食模式和饮酒膳食模式.经多元线性回归分析,传统健康膳食模式、甜食膳食模式因子得分平均每增加1个单位,3年后随访FBG值分别增加-0.054、0.050mmol/L,差异均有统计学意义(t值分别为-2.38、2.27,P值均<0.05).经多因素Cox回归分析,男性甜食膳食模式与高血糖发病风险呈正关联;最低三分位(T1)和最高三分位(T3)的高血糖发病率分别为4.7%(14/295)、9.7%(26/269)(T13与T1相比,RR=1.88,95%CI:1.04~ 3.54);女性传统健康膳食模式与高血糖发病风险呈负关联,T3、T1发病率分别为6.3% (21/335)、10.7%(45/421)(T3与T1相比,RR =0.59,95% CI:0.35 ~0.99),而饮酒膳食模式与高血糖发病风险呈正关联,T3、T1发病率分别为11.1%(33/297)、8.1%(38/472)(T3与T1相比,RR=1.35,95%CI:0.84 ~2.16).结论 膳食模式与高血糖密切相关.甜食膳食模式是男性高血糖发病的危险因素;传统健康膳食模式是女性的保护因素,而饮酒膳食模式是女性的危险因素.
目的 探索南京居民不同膳食模式與高血糖髮病風險的關繫.方法 採用多階段分層隨機整群抽樣方法,于2007年6-9月對南京市2箇城區的7箇社區內的30歲以上的常住居民開展基線調查,符閤條件的調查對象共3376名,剔除已確診的高血糖患者(476例),將2900例非高血糖的人群作為本研究的基線樣本,于2010年6-9月對非高血糖人群進行隨訪調查.採用專門設計的食物頻數量錶(FFQ),應用因子分析方法建立膳食模式,採用多因素線性和Cox迴歸模型分析不同膳食模式與高血糖髮病風險的關聯.結果 3年後共隨訪2093名,隨訪率為72.2%.高血糖3年纍計髮病率為7.5%(158/2093);男女髮病率分彆為7.1%(62/873)、7.9%(96/1220),差異無統計學意義(x2=0.43,P=0.513).通過因瞭分析得到5種膳食模式:調味品膳食模式、動植物蛋白膳食模式、傳統健康膳食模式、甜食膳食模式和飲酒膳食模式.經多元線性迴歸分析,傳統健康膳食模式、甜食膳食模式因子得分平均每增加1箇單位,3年後隨訪FBG值分彆增加-0.054、0.050mmol/L,差異均有統計學意義(t值分彆為-2.38、2.27,P值均<0.05).經多因素Cox迴歸分析,男性甜食膳食模式與高血糖髮病風險呈正關聯;最低三分位(T1)和最高三分位(T3)的高血糖髮病率分彆為4.7%(14/295)、9.7%(26/269)(T13與T1相比,RR=1.88,95%CI:1.04~ 3.54);女性傳統健康膳食模式與高血糖髮病風險呈負關聯,T3、T1髮病率分彆為6.3% (21/335)、10.7%(45/421)(T3與T1相比,RR =0.59,95% CI:0.35 ~0.99),而飲酒膳食模式與高血糖髮病風險呈正關聯,T3、T1髮病率分彆為11.1%(33/297)、8.1%(38/472)(T3與T1相比,RR=1.35,95%CI:0.84 ~2.16).結論 膳食模式與高血糖密切相關.甜食膳食模式是男性高血糖髮病的危險因素;傳統健康膳食模式是女性的保護因素,而飲酒膳食模式是女性的危險因素.
목적 탐색남경거민불동선식모식여고혈당발병풍험적관계.방법 채용다계단분층수궤정군추양방법,우2007년6-9월대남경시2개성구적7개사구내적30세이상적상주거민개전기선조사,부합조건적조사대상공3376명,척제이학진적고혈당환자(476례),장2900례비고혈당적인군작위본연구적기선양본,우2010년6-9월대비고혈당인군진행수방조사.채용전문설계적식물빈수량표(FFQ),응용인자분석방법건립선식모식,채용다인소선성화Cox회귀모형분석불동선식모식여고혈당발병풍험적관련.결과 3년후공수방2093명,수방솔위72.2%.고혈당3년루계발병솔위7.5%(158/2093);남녀발병솔분별위7.1%(62/873)、7.9%(96/1220),차이무통계학의의(x2=0.43,P=0.513).통과인료분석득도5충선식모식:조미품선식모식、동식물단백선식모식、전통건강선식모식、첨식선식모식화음주선식모식.경다원선성회귀분석,전통건강선식모식、첨식선식모식인자득분평균매증가1개단위,3년후수방FBG치분별증가-0.054、0.050mmol/L,차이균유통계학의의(t치분별위-2.38、2.27,P치균<0.05).경다인소Cox회귀분석,남성첨식선식모식여고혈당발병풍험정정관련;최저삼분위(T1)화최고삼분위(T3)적고혈당발병솔분별위4.7%(14/295)、9.7%(26/269)(T13여T1상비,RR=1.88,95%CI:1.04~ 3.54);녀성전통건강선식모식여고혈당발병풍험정부관련,T3、T1발병솔분별위6.3% (21/335)、10.7%(45/421)(T3여T1상비,RR =0.59,95% CI:0.35 ~0.99),이음주선식모식여고혈당발병풍험정정관련,T3、T1발병솔분별위11.1%(33/297)、8.1%(38/472)(T3여T1상비,RR=1.35,95%CI:0.84 ~2.16).결론 선식모식여고혈당밀절상관.첨식선식모식시남성고혈당발병적위험인소;전통건강선식모식시녀성적보호인소,이음주선식모식시녀성적위험인소.
Objective To investigate the association between dietary patterns and the risk of developing hyperglycemia in Nanjing.Methods Using multi-stage stratified random cluster sampling,the baseline survey was conducted on local residents older than 30 years in 7 communities from 2 urban districts from June to September 2007 in Nanjing.The total eligible subjects were 3376.Excluding the 476 previously diagnosed hyperglycemia patients,2900 non-hyperglycemia subjects were used as the baseline sample for the follow-up survey from June to September 2010.Using specially designed food frequency questionnaire (FFQ),factor analysis was applied to identify food patterns.Multivariable linear and Cox regression models were used to analyze the association between different dietary patterns and risk of hyperglycemia.Results The follow-up rate was 72.2%,with 2093 subjects participated the follow-up survey in 3 years.Three-year cumulative incidence of hyperglycemia was 7.5% (158/2093).The incidence rate was 7.1% (62/873) for males and 7.9% (96/1220) for fcmales,but the differences were not statistically significant (x2 =0.43,P =0.513).Five dietary patterns were identified by factor analysis:condiment,animal and plant protein,traditional healthy,sweet food and alcohol drinking.By multivariable linear regression,on average,an increase in traditional healthy pattern and sweet food pattern of 1 unit was associated with a-0.054,0.050 mmol/Lincrease in fasting blood glucose,respectively,and the differences were both statistically significant (t =-2.38,2.27,respectively,P values were both less than 0.05).By multivariable Cox regression,the pattern sweet food was positively significantly associated with hyperglycemia risk in men.The incidence of hyperglycemia was 4.7% (14/295) for the lowest tertile of the factor score (T1),and 9.7% (26/269) for the highest tertile of the factor score (T3) (T3:T1:RR =1.88,95% CI:1.04-3.54).The pattern traditional healthy was inversely associated with hyperglycemia risk in women.The incidence of hyperglycemia was 10.7% (45/421) for T1 and 6.3% (21/335) for T3 (T3:T1:RR =0.59,95% CI:0.35-0.99).Conversely,a statistically significant positively association was observed for the pattern alcohol drinking in women.The incidence of hyperglycemia was 8.1% (38/472) for T1 and 11.1% (33/297) for T3 (T3:T1:RR =1.35,95% CI:0.84-2.16).Conclusion Dietary patterns are associated with hyperglycemia.The sweet food pattem is a risk factor for hyperglycemia in men.In women,healthy dietary pattern is healthy and the alcohol drinking pattern is a risk factor for hyperglycemia.