【摘要】 背景 心血管疾病作為全球首要死亡原因,嚴(yán)重威脅人類的健康。飲食作為重要的干預(yù)手段備受關(guān)注,但碳水化合物對(duì)心血管疾病的影響尚未知。目的 分析碳水化合物攝入對(duì)心血管疾病風(fēng)險(xiǎn)因素影響的證據(jù)。方法 計(jì)
算機(jī)檢索萬(wàn)方數(shù)據(jù)知識(shí)服務(wù)平臺(tái)、中國(guó)知網(wǎng)、維普信息資源系統(tǒng)、中國(guó)生物醫(yī)學(xué)文獻(xiàn)數(shù)據(jù)庫(kù)、PubMed、Cochrane Library、Embase數(shù)據(jù)庫(kù),獲取發(fā)表時(shí)間為建庫(kù)至2023年1月的關(guān)于碳水化合物與心血管疾病風(fēng)險(xiǎn)的隨機(jī)對(duì)照研究。由兩名研究者分別獨(dú)立提取文獻(xiàn)數(shù)據(jù),并進(jìn)行文獻(xiàn)質(zhì)量評(píng)價(jià)。使用RevMan 5.3軟件進(jìn)行數(shù)據(jù)分析。結(jié)果 共納入16項(xiàng)隨機(jī)對(duì)照試驗(yàn),碳水化合物飲食干預(yù)能夠降低三酰甘油水平,下降了0.17 mmol/L(95%CI=-0.24~-0.10 mmol/L,Plt;0.000 01)。持續(xù)6個(gè)月以下碳水化合物飲食干預(yù)使三酰甘油水平下降了0.25 mmol/L(95%CI=-0.33~-0.17 mmol/L,Plt;0.000 01);12~23個(gè)月組三酰甘油降低0.15 mmol/L(95%CI=-0.29~-0.01 mmol/L,P=0.04)。血漿高密度脂蛋白水平升高0.09 mmol/L(95%CI=0.07~0.10 mmol/L,Plt;0.000 01),血漿低密度脂蛋白水平升高0.10 mmol/L(95%CI=0.02~0.17 mmol/L,P=0.01)。結(jié)論 低碳水化合物飲食對(duì)心血管危險(xiǎn)因素的總體影響在6個(gè)月以下和6~11個(gè)月時(shí)更加有利,但2年后對(duì)心血管危險(xiǎn)因素沒(méi)有顯著影響,其長(zhǎng)期影響需要進(jìn)一步研究證實(shí)。
【關(guān)鍵詞】 心血管疾病;碳水化合物;膳食;血脂異常;Meta分析
【中圖分類號(hào)】 R 54 【文獻(xiàn)標(biāo)識(shí)碼】 A DOI:10.12114/j.issn.1007-9572.2023.0296
Meta-analysis of the Effect of Carbohydrates on Cardiovascular Disease Risk Factors
LI Yiguang1,LIU Hejun2,ZHAO Jinpeng3,F(xiàn)ENG Yan3,XU Yinlan2*
1.Human Resource Management Department,Xinxiang Medical University,Xinxiang 453003,China
2.School of Public Health,Xinxiang Medical University,Xinxiang 453003,China
3.College of Life Science,Shanxi Agricultural University,Taiyuan 030800,China
*Corresponding author:XU Yinlan,Associate professor;E-mail:xuyinlan2009@163.com
【Abstract】 Background As the leading cause of death in the world,cardiovascular diseases pose a serious threat to human health. Diet has attracted much attention as an important intervention,but the effect of carbohydrates on cardiovascular disease is unknown. Objective To analyze the evidence of the correlation between carbohydrate intake and cardiovascular disease risk. Methods Wanfang Data,CNKI,VIP,SinoMed,PubMed,Cochrane Library and Embase were searched by computer for randomized controlled trials on the risk of carbohydrates and cardiovascular disease published from inception to January 2023. Two researchers performed literature screening,data extraction,and quality evaluation separately. RevMan 5.3 was used for data analysis. Results A total of 16 randomized trials were included. Carbohydrate could significantly reduce triglyceride level by 0.17 mmol/L(95%CI=-0.24--0.10,Plt;0.000 01). The level of triglyceride decreased by 0.25 mmol/L(95%CI=-0.33--0.17,Plt;0.000 01) in carbohydrate diet intervention for less than 6 months,and 0.15 mmol/L(95%CI=-0.29--0.01,P=0.04) in 12-23 months group. Plasma HDL-C level increased by 0.09 mmol/L(95%CI=0.07-0.10,Plt;0.000 01),and plasma LDL-C level increased by 0.10 mmol/L(95%CI=0.02-0.17,P=0.01). Conclusion The overall effect of low carbohydrate diet on cardiovascular risk factors is more favorable below 6 months and 6-11 months,but it has no significant effect on cardiovascular risk factors after 2 years,and its long-term effect needs further study.
【Key words】 Cardiovascular diseases;Carbohydrates;Diet;Dyslipidemias;Meta-analysis
心血管疾?。╟ardiovascular disease,CVD)是全球首要致死原因,也是威脅人類健康的重要因素[1]。《中國(guó)心血管健康與疾病報(bào)告2021》顯示,我國(guó)目前約有3.3億CVD患者,嚴(yán)重危害著我國(guó)居民身體健康,也給我國(guó)醫(yī)療衛(wèi)生系統(tǒng)帶來(lái)了巨大負(fù)擔(dān),CVD已成為影響全球居民健康和期望壽命的重要公共衛(wèi)生問(wèn)題[2]。血脂異常、高血壓和糖尿病長(zhǎng)期以來(lái)被認(rèn)為是CVD的危險(xiǎn)因素[3-5],飲食作為改善CVD危險(xiǎn)因素的重要途徑之一,一直是研究人員關(guān)注的焦點(diǎn)[6]。碳水化合物是大多數(shù)國(guó)家飲食的主要組成部分[7],高碳水化合物的飲食,特別是精制或高血糖指數(shù)的碳水化合物,似乎也與高血壓、冠心病、肥胖、2型糖尿病、代謝綜合征和死亡風(fēng)險(xiǎn)增加有關(guān)[8]。近年來(lái),公眾越來(lái)越意識(shí)到這一問(wèn)題及其對(duì)人類健康的影響。據(jù)推測(cè),高碳水化合物可能是由于能量攝入過(guò)多、能量消耗過(guò)低或兩者兼有而導(dǎo)致肥胖。此外,越來(lái)越多的研究集中于不同飲食與CVD之間的關(guān)系,關(guān)于哪種飲食更有利于預(yù)防CVD的爭(zhēng)論也在加劇。低碳水化合物飲食通過(guò)限制碳水化合物和增加脂肪或蛋白質(zhì)的百分比從而可以達(dá)到減肥的目的。然而,碳水化合物對(duì)CVD的影響尚未明確。關(guān)于碳水化合物飲食模式與CVD風(fēng)險(xiǎn)之間的關(guān)系,前瞻性隊(duì)列研究產(chǎn)生了相互矛盾的結(jié)果[9-10]。研究表明低碳水化合物飲食對(duì)減肥、改善心血管危險(xiǎn)因素和預(yù)防或治療糖尿病有效[11]。然而,也有研究發(fā)現(xiàn),低碳水化合物飲食僅在短時(shí)間內(nèi)維持對(duì)血脂的有利作用,一段時(shí)間后這種有效作用又恢復(fù)到基線水平[12-13]。并且,LAGIOU等[14]進(jìn)行的隊(duì)列研究數(shù)據(jù)表明,長(zhǎng)期碳水化合物飲食增加CVD危險(xiǎn)因素的影響,縮短壽命?;诖耍狙芯坎捎肕eta分析的方法以確定碳水化合物飲食對(duì)CVD危險(xiǎn)因素的影響。
1 資料與方法
1.1 文獻(xiàn)檢索
計(jì)算機(jī)檢索萬(wàn)方數(shù)據(jù)知識(shí)服務(wù)平臺(tái)、中國(guó)知網(wǎng)、維普信息資源系統(tǒng)、中國(guó)生物醫(yī)學(xué)文獻(xiàn)數(shù)據(jù)庫(kù)、PubMed、Cochrane Library、Embase數(shù)據(jù)庫(kù),檢索時(shí)限從建庫(kù)至2023年1月,采用主題詞和自由詞結(jié)合的方式,并使用截詞符和同義詞擴(kuò)展提高查全率。根據(jù)不同數(shù)據(jù)庫(kù)的特點(diǎn),中文檢索詞為“碳水化合物”“心血管疾病”“飲食”“心血管病變”“心血管腦病”“三酰甘油”“高密度脂蛋白”和“低密度脂蛋白”等,英文檢索詞為“carbohydrate”“cardiovascular disease”“diet”和“randomized controlled trial”等。
1.2 文獻(xiàn)納入與排除標(biāo)準(zhǔn)
納入標(biāo)準(zhǔn):(1)研究類型為隨機(jī)對(duì)照試驗(yàn);(2)研究對(duì)象:年齡≥18歲,無(wú)特殊疾??;(3)干預(yù)措施,試驗(yàn)組飲食中碳水化合物的比例低于40%且至少有3個(gè)月的隨訪期,對(duì)照組不進(jìn)行飲食干預(yù);(4)結(jié)局指標(biāo)包括三酰甘油、高密度脂蛋白和低密度脂蛋白。排除標(biāo)準(zhǔn):(1)干預(yù)組或?qū)φ战M有其他手術(shù)干預(yù)或藥物干預(yù)作為研究的一部分;(2)原始文獻(xiàn)結(jié)局指標(biāo)模糊,數(shù)據(jù)缺失且無(wú)法通過(guò)聯(lián)系作者獲得;(3)重復(fù)發(fā)表的文獻(xiàn)、會(huì)議摘要以及無(wú)法獲取全文的文獻(xiàn)。
1.3 文獻(xiàn)篩選與資料提取
由2名研究者依據(jù)文獻(xiàn)納入與排除標(biāo)準(zhǔn)獨(dú)立篩選文獻(xiàn),交叉核對(duì),如果出現(xiàn)意見(jiàn)分歧,則通過(guò)討論達(dá)成一致或由第三位研究者協(xié)商解決,閱讀全文進(jìn)行資料提取。提取信息包括:第一作者、發(fā)表年份、國(guó)家、樣本量、性別、年齡、BMI、隨訪持續(xù)時(shí)間和碳水化合物攝入量等。
1.4 文獻(xiàn)質(zhì)量評(píng)價(jià)
由2名經(jīng)過(guò)統(tǒng)一培訓(xùn)的研究人員采用Cochrane風(fēng)險(xiǎn)偏倚評(píng)估量表對(duì)符合納入標(biāo)準(zhǔn)的隨機(jī)對(duì)照試驗(yàn)進(jìn)行質(zhì)量評(píng)價(jià),從隨機(jī)分組方法、是否做到分配隱藏、是否采用盲法、是否報(bào)告了失訪和退出的人數(shù)及原因、結(jié)果數(shù)據(jù)的完整性、選擇性報(bào)告研究結(jié)果和其他偏倚6個(gè)方面進(jìn)行評(píng)價(jià)。如遇分歧由第3名研究者進(jìn)行協(xié)商裁決。
1.5 統(tǒng)計(jì)學(xué)分析
采用RevMan 5.3軟件進(jìn)行資料分析,計(jì)數(shù)資料使用均數(shù)差(MD)為效應(yīng)指標(biāo)。對(duì)各研究結(jié)果采用χ2檢驗(yàn)進(jìn)行統(tǒng)計(jì)學(xué)異質(zhì)性檢驗(yàn),當(dāng)P≥0.10、I2lt;50%時(shí),多個(gè)研究存在同質(zhì)性,使用固定效應(yīng)模型分析;當(dāng)Plt;0.10、I2≥50%時(shí),采用隨機(jī)效應(yīng)模型,并通過(guò)亞組分析尋找異質(zhì)性來(lái)源。若無(wú)法判斷異質(zhì)性來(lái)源則進(jìn)行描述性分析,采用漏斗圖評(píng)價(jià)其發(fā)表偏倚。以Plt;0.05為差異有統(tǒng)計(jì)學(xué)意義。
2 結(jié)果
2.1 文獻(xiàn)篩選流程及結(jié)果
從數(shù)據(jù)庫(kù)中初檢獲得相關(guān)文獻(xiàn)5 209篇,初篩納入72篇,最終閱讀全文納入文獻(xiàn)16篇,文獻(xiàn)篩選流程及結(jié)果見(jiàn)圖1。
2.2 納入文獻(xiàn)基本特征
共納入16項(xiàng)隨機(jī)對(duì)照試驗(yàn)[15-30],包括1 989例研究對(duì)象,干預(yù)組1 041例,對(duì)照組948例。6項(xiàng)研究在美國(guó)進(jìn)行,3項(xiàng)研究在澳大利亞進(jìn)行,2項(xiàng)研究在英國(guó)進(jìn)行,2項(xiàng)研究在丹麥進(jìn)行,1項(xiàng)研究在德國(guó)進(jìn)行,1項(xiàng)研究在以色列進(jìn)行,1項(xiàng)研究在中國(guó)進(jìn)行?;颊吣挲g31~75歲。干預(yù)組飲食碳水化合物含量低于40%,對(duì)照組飲食碳水化合物含量為45%~60%。隨訪時(shí)間20周~2年(表1)。
2.3 文獻(xiàn)質(zhì)量評(píng)價(jià)
9篇文獻(xiàn)闡明了隨機(jī)化方法和分配隱藏,16篇文獻(xiàn)受試者盲法,11篇文獻(xiàn)評(píng)估者盲法,9篇文獻(xiàn)數(shù)據(jù)報(bào)告不完整,11篇文獻(xiàn)有其他偏倚,具體見(jiàn)圖2和圖3。
2.4 碳水化合物攝入對(duì)CVD相關(guān)指標(biāo)影響的Meta分析
2.4.1 碳水化合物攝入與三酰甘油相關(guān)性:共16項(xiàng)研究[15-30]報(bào)告了碳水化合物攝入與三酰甘油的相關(guān)性,異質(zhì)性檢驗(yàn)結(jié)果顯示I2=72%,Plt;0.000 01,采用隨機(jī)效應(yīng)模型分析。Meta分析結(jié)果顯示,與對(duì)照組相比,干預(yù)組的三酰甘油水平下降0.17 mmol/L,差異有統(tǒng)計(jì)學(xué)意義(95%CI=-0.24~-0.10,Plt;0.000 01)。根據(jù)納入研究飲食干預(yù)時(shí)間的不同,將其分為4個(gè)亞組。其中11項(xiàng)研究[15-17,21-24,27-30]干預(yù)時(shí)間持續(xù)6個(gè)月以下,結(jié)果顯示,碳水化合物飲食干預(yù)使三酰甘油水平下降了0.25 mmol/L,差異有統(tǒng)計(jì)學(xué)意義(95%CI=-0.33~
-0.17,Plt;0.000 01);9項(xiàng)研究[15-19,21,24,28,30]干預(yù)時(shí)間為6~11個(gè)月,結(jié)果顯示,與對(duì)照組相比,三酰甘油水平降低了0.13 mmol/L,差異無(wú)統(tǒng)計(jì)學(xué)意義(95%CI=
-0.29~0.03,P=0.12);7項(xiàng)研究[17,20-22,24-25,27]干預(yù)時(shí)間為12~23個(gè)月,結(jié)果顯示,與對(duì)照組相比,三酰甘油降低0.15 mmol/L,差異有統(tǒng)計(jì)學(xué)意義(95%CI=-0.29~
-0.01,P=0.04);3項(xiàng)研究[19,21,26]干預(yù)時(shí)間為24個(gè)月以上,與對(duì)照組相比,干預(yù)組三酰甘油水平降低了0.02 mmol/L,差異無(wú)統(tǒng)計(jì)學(xué)意義(95%CI=-0.13~0.09,P=0.69),見(jiàn)圖4。
2.4.2 碳水化合物攝入與高密度脂蛋白相關(guān)性:16項(xiàng)研究[15-30]報(bào)告了碳水化合物攝入與高密度脂蛋白的相關(guān)性,異質(zhì)性檢驗(yàn)結(jié)果顯示I2=45%,P=0.004,采用固定效應(yīng)模型。Meta分析結(jié)果顯示,與對(duì)照組相比,干預(yù)組血漿高密度脂蛋白水平升高0.09 mmol/L,差異有統(tǒng)計(jì)學(xué)意義(95%CI=0.07~0.10,Plt;0.000 01)。根據(jù)納入研究飲食干預(yù)時(shí)間的不同,將其分為4個(gè)亞組。其中11項(xiàng)研究[15-17,21-24,27-30]干預(yù)時(shí)間持續(xù)6個(gè)月以下,結(jié)果顯示,碳水化合物飲食干預(yù)使高密度脂蛋白水平升高0.07 mmol/L,差異有統(tǒng)計(jì)學(xué)意義(95%CI=0.05~0.10,Plt;0.000 01);9項(xiàng)研究[15-19,21,24,28,30]
干預(yù)時(shí)間為6~11個(gè)月,結(jié)果顯示,與對(duì)照組相比,高密度脂蛋白水平升高0.10 mmol/L,差異有統(tǒng)計(jì)學(xué)意義(95%CI=0.07~0.13,Plt;0.000 01);7項(xiàng)研究[17,20-22,24-25,27]干預(yù)時(shí)間為12~23個(gè)月,結(jié)果顯示,與對(duì)照組比,高密度脂蛋白水平升高0.10 mmol/L,差異有統(tǒng)計(jì)學(xué)意義(95%CI=0.06~0.14,Plt;0.000 01);3項(xiàng)研究[19,21,26]干預(yù)時(shí)間超過(guò)24個(gè)月,結(jié)果顯示,與對(duì)照組相比,干預(yù)組高密度脂蛋白水平升高0.08 mmol/L,差異有統(tǒng)計(jì)學(xué)意義(95%CI=0.04~0.12,P=0.000 2),見(jiàn)圖5。
2.4.3 碳水化合物攝入與低密度脂蛋白相關(guān)性:共16項(xiàng)研究[15-30]報(bào)告了碳水化合物攝入與低密度脂蛋白的相關(guān)性,異質(zhì)性檢驗(yàn)結(jié)果顯示I2=63%,Plt;0.000 01,采用隨機(jī)效應(yīng)模型分析。Meta分析結(jié)果顯示,與對(duì)照組相比,干預(yù)組血漿低密度脂蛋白水平總水平升高0.10 mmol/L,差異有統(tǒng)計(jì)學(xué)意義(95%CI=0.02~0.17,P=0.01)。根據(jù)納入研究飲食干預(yù)時(shí)間的不同,將其分為4個(gè)亞組。其中11項(xiàng)研究[15-17,21-24,27-30]干預(yù)時(shí)間持續(xù)6個(gè)月以下,結(jié)果顯示,碳水化合物飲食干預(yù)使低密度脂蛋白水平升高0.16 mmol/L,差異無(wú)統(tǒng)計(jì)學(xué)意義(95%CI=-0.02~0.34,P=0.08);9項(xiàng)研究[15-19,21,24,28,30]干預(yù)時(shí)間為6~11個(gè)月,結(jié)果顯示,與對(duì)照組相比,低密度脂蛋白水平升高0.11 mmol/L,差異有統(tǒng)計(jì)學(xué)意義(95%CI=0.01~0.21,P=0.03);7項(xiàng)研究[17,20-22,24-25,27]干預(yù)時(shí)間為12~23個(gè)月,結(jié)果顯示,與對(duì)照組相比,低密度脂蛋白水平降低0.01 mmol/L,差異無(wú)統(tǒng)計(jì)學(xué)意義(95%CI=-0.10~0.08,P=0.85);3項(xiàng)研究[19,21,26]干預(yù)時(shí)間超過(guò)24個(gè)月,結(jié)果顯示,與對(duì)照組相比,干預(yù)組低密度脂蛋白水平升高0.09 mmol/L,差異無(wú)統(tǒng)計(jì)學(xué)意義(95%CI=-0.02~0.19,P=0.10),見(jiàn)圖6。
2.4.4 發(fā)表偏倚:對(duì)納入文獻(xiàn)進(jìn)行偏倚分析發(fā)現(xiàn),漏斗圖均對(duì)稱,無(wú)發(fā)表偏倚,見(jiàn)圖7。
3 討論
目前治療CVD和降低死亡率的傳統(tǒng)預(yù)防策略是通過(guò)靶向低密度脂蛋白抑制他汀類藥物的3-羥基-3-甲基戊二酰輔酶(HMG-CoA)還原酶活性,從而降低肝臟膽固醇的產(chǎn)生并上調(diào)低密度脂蛋白受體[31]。然而這一策略只能降低CVD風(fēng)險(xiǎn)的30%。GJULADIN-HELLON等[32]研究報(bào)告在非空腹的研究人群中低密度脂蛋白水平不論高低都與這些脂質(zhì)參數(shù)有關(guān),這一發(fā)現(xiàn)表明,降低低密度脂蛋白水平并不能降低發(fā)生CVD的風(fēng)險(xiǎn),即使達(dá)到可接受的低密度脂蛋白水平,也會(huì)存在除低密度脂蛋白以外的其他風(fēng)險(xiǎn)因素。由于低碳水化合物飲食中碳水化合物含量受限,但蛋白質(zhì)和脂肪攝入量增加會(huì)增加血漿低密度脂蛋白水平;然而,這種升高使低密度脂蛋白顆粒由小變大,動(dòng)脈粥樣硬化是由較小的低密度脂蛋白顆粒引起的,也就是說(shuō),大而低密度脂蛋白(l b低密度脂蛋白)被證明具有較低的致動(dòng)脈粥樣硬化的可能性,雖然小而低密度脂蛋白(sd低密度脂蛋白)和中等低密度脂蛋白與CVD的相關(guān)性更強(qiáng)[33],但sd低密度脂蛋白顆粒(表型B)比l b低密度脂蛋白顆粒(表型A)與CVD結(jié)局的相關(guān)性更強(qiáng)。碳水化合物飲食攝入限制后,降低CVD的風(fēng)險(xiǎn),而高碳水化合物飲食后則相反。因此,本文希望通過(guò)Meta分析來(lái)量化碳水化合物飲食對(duì)心血管危險(xiǎn)因素的影響。
在碳水化合物攝入與三酰甘油的相關(guān)性方面,本研究結(jié)果表明,持續(xù)6個(gè)月以下碳水化合物飲食干預(yù)使三酰甘油水平下降了(0.24 mmol/L,95%CI=-0.33~
-0.16,Plt;0.000 01),12~23個(gè)月組三酰甘油降低(0.15 mmol/L,95%CI=-0.29~-0.01,P=0.04),提示控制碳水化合物的攝入能夠降低三酰甘油水平,從而降低CVD的風(fēng)險(xiǎn),這與DONG等[34]的研究結(jié)果一致。INTERHEART研究表明,和血脂水平正常的人相比,血脂水平異常的人患CVD的風(fēng)險(xiǎn)會(huì)增加3倍[35]。盡管高脂血癥患者可以通過(guò)藥物控制血脂水平,但由于藥物的不良反應(yīng)、經(jīng)濟(jì)條件或其他原因等,超過(guò)50%的患者無(wú)法接受藥物治療[36]。因此,控制碳水化合物的攝入很有可能為高脂血癥患者帶來(lái)新的希望。在碳水化合物攝入與高密度脂蛋白的相關(guān)性方面,本研究發(fā)現(xiàn),在碳水化合物飲食干預(yù)下高密度脂蛋白顯著升高,這與HU等[37]的研究結(jié)果一致。分析其原因,可能與飲食中脂肪攝入量的增加有關(guān)[38]。研究表明高密度脂蛋白水平升高可以降低某些CVD的風(fēng)險(xiǎn),但是碳水化合物飲食干預(yù)下高密度脂蛋白水平顯著升高的機(jī)制尚不清楚,其機(jī)制有待進(jìn)一步研究。高密度脂蛋白膽固醇水平的升高通常被認(rèn)為是具有臨床意義的。在碳水化合物攝入與低密度脂蛋白的相關(guān)性方面,本研究顯示,碳水化合物低水平攝入使低密度脂蛋白總體上略有增加,而超過(guò)11個(gè)月的碳水化合物低攝入對(duì)低密度脂蛋白沒(méi)有明顯變化,提示控制碳水化合物的攝入能夠升高低密度脂蛋白水平,降低CVD的風(fēng)險(xiǎn)。這與MANSOOR等[39]的研究結(jié)果一致。ARORA等[40]認(rèn)為,對(duì)飲食中規(guī)定的宏量營(yíng)養(yǎng)素成分的不堅(jiān)持可能導(dǎo)致12個(gè)月后的效果下降,且不堅(jiān)持的情況隨著時(shí)間的延長(zhǎng)而增加。CHAWLA等[41]的研究表明,低碳水化合物攝入能夠顯著增加低密度脂蛋白水平(0.11 mmol/L,95%CI=0.07~0.15),同樣也提高高密度脂蛋白水平(0.07 mmol/L,95%CI=0.06~0.09),即低碳水化合物飲食更有可能改善CVD的危險(xiǎn)因素。
4 小結(jié)
控制碳水化合物攝入能夠降低血漿三酰甘油水平,升高血漿高密度脂蛋白和低密度脂蛋白水平,其長(zhǎng)期影響及其對(duì)臨床終點(diǎn)(如心肌梗死、卒中和死亡率)的影響在很大程度上尚不清楚。總之,低碳水化合物飲食對(duì)CVD危險(xiǎn)因素的總體影響在6個(gè)月以下和6-11個(gè)月時(shí)趨于有利,但在2年后對(duì)心血管危險(xiǎn)因素沒(méi)有顯著影響。
本研究存在以下局限性:(1)潛在的混雜因素干擾,如不同地區(qū)的不同飲食習(xí)慣和偏好可能會(huì)影響結(jié)果;(2)大多數(shù)研究干預(yù)的時(shí)間較短,結(jié)果只能反映短期碳水化合物飲食對(duì)CVD的影響,未來(lái)需要大規(guī)模多中心長(zhǎng)期臨床隨機(jī)對(duì)照試驗(yàn)來(lái)驗(yàn)證結(jié)果;(3)亞組分析可能還有其他影響因素未被探索,如糖尿病史等。
作者貢獻(xiàn):李一光、劉荷君負(fù)責(zé)文章的撰寫、數(shù)據(jù)的收集與整理、結(jié)果的分析與解釋;趙錦鵬、馮焱進(jìn)行論文的修訂;徐銀蘭負(fù)責(zé)文章的質(zhì)量控制及審校,對(duì)文章整體負(fù)責(zé)、監(jiān)督管理。
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(收稿日期:2023-10-22;修回日期:2024-01-11)
(本文編輯:崔莎)
基金項(xiàng)目:河南省科技攻關(guān)項(xiàng)目(222102310701);新鄉(xiāng)醫(yī)學(xué)院博士科研啟動(dòng)金(XYBSKYZZ202168);河南省高等學(xué)校重點(diǎn)科研項(xiàng)目(23A320040);河南省教育教學(xué)改革重點(diǎn)課題(2021SJGLX217)
引用本文:李一光,劉荷君,趙錦鵬,等.碳水化合物對(duì)心血管疾病風(fēng)險(xiǎn)因素影響的Meta分析[J]. 中國(guó)全科醫(yī)學(xué),2024,27(34):4341-4349. DOI:10.12114/j.issn.1007-9572.2023.0296.[www.chinagp.net]
LI Y G,LIU H J,ZHAO J P,et al. Meta-analysis of the effect of carbohydrates on cardiovascular disease risk factors[J]. Chinese General Practice,2024,27(34):4341-4349.