Validity of a short questionnaire to assess physical activity in 10 European countries.

Validity of a short questionnaire to assess physical activity in 10 European countries.
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DOI:
10.1007/s10654-011-9625-y
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发表时间:
2012-01
影响因子:
13.6
通讯作者:
Wareham, Nick
Wareham, Nick
中科院分区:
医学1区
文献类型:
--
作者:
Peters, Tricia;Brage, Soren;Westgate, Kate;Franks, Paul W.;Gradmark, Anna;Diaz, Maria Jose Tormo;Huerta, Jose Maria;Bendinelli, Benedetta;Vigl, Mattheaus;Boeing, Heiner;Wendel-Vos, Wanda;Spijkerman, Annemieke;Benjaminsen-Borch, Kristin;Valanou, Elisavet;Guillain, Blandine de Lauzon;Clavel-Chapelon, Francoise;Sharp, Stephen;Kerrison, Nicola;Langenberg, Claudia;Arriola, Larraitz;Barricarte, Aurelio;Gonzales, Carlos;Grioni, Sara;Kaaks, Rudolf;Key, Timothy;Khaw, Kay Tee;May, Anne;Nilsson, Peter;Norat, Teresa;Overvad, Kim;Palli, Domenico;Panico, Salvatore;Quiros, Jose Ramon;Ricceri, Fulvio;Sanchez, Maria-Jose;Slimani, Nadia;Tjonneland, Anne;Tumino, Rosario;Feskens, Edith;Riboli, Elio;Ekelund, Ulf;Wareham, Nick

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为了准确地检查体力活动(PA)与疾病结局的关系,需要一种有效的方法来评估自由生活活动。我们检验了欧洲癌症与营养前瞻性研究(EPIC)中使用的简短PA问卷(PAQ)的有效性。使用单独校准的心率和运动感应器,测量了来自10个欧洲国家的1,941名健康人的PA能量消耗(PAEE)和进行中等强度和剧烈体力活动的时间(MVPA)。参与者还完成了简短的史诗-PAQ,指的是过去一年的活动。计算了每个国家的皮尔逊(R)和斯皮尔曼(σ)相关系数,并使用随机效应荟萃分析来计算国家间的组合相关性,以评估两个先前和一个新衍生的有序分类PA指数(“剑桥指数”、“总PA指数”和“娱乐指数”)的有效性,这些指数将个人归类为不活跃、中等不活跃、中等活跃或活跃。剑桥指数与PAEE和MVPA的相关性最强(分别为r=0.33和r=0.25)。这一指数在不同国家之间没有明显的异质性(I2=36.3%,P=0.12;I2=100.0%,P=0.85),而其他指数则表现出异质性(I2=48%,P<0.05,I2=47%,P<0.05)。在所有自我报告的PA类别中,PAEE呈线性增长(趋势&lt;0.001的P),剑桥指数的不同类别之间,男性的平均差异约为460千焦/日,女性的平均差异约为365千焦/日。EPIC-PAQ适合将欧洲男性和女性分为四类不同的整体体力活动。在估计观察性研究的效应大小时,不同类别之间的PAEE差异可能是有用的。本文的在线版本(doi:10.1007/s10654-0119625-y)包含补充材料,授权用户可以使用。
To accurately examine associations of physical activity (PA) with disease outcomes, a valid method of assessing free-living activity is required. We examined the validity of a brief PA questionnaire (PAQ) used in the European Prospective Investigation into Cancer and Nutrition (EPIC). PA energy expenditure (PAEE) and time spent in moderate and vigorous physical activity (MVPA) was measured in 1,941 healthy individuals from 10 European countries using individually-calibrated combined heart-rate and movement sensing. Participants also completed the short EPIC-PAQ, which refers to past year’s activity. Pearson (r) and Spearman (σ) correlation coefficients were calculated for each country, and random effects meta-analysis was used to calculate the combined correlation across countries to estimate the validity of two previously- and one newly-derived ordered, categorical PA indices (“Cambridge index”, “total PA index”, and “recreational index”) that categorized individuals as inactive, moderately inactive, moderately active, or active. The strongest associations with PAEE and MVPA were observed for the Cambridge index (r = 0.33 and r = 0.25, respectively). No significant heterogeneity by country was observed for this index (I2 = 36.3%, P = 0.12; I2 = 0.0%, P = 0.85), whereas heterogeneity was suggested for other indices (I2 > 48%, P < 0.05, I2 > 47%, P < 0.05). PAEE increased linearly across self-reported PA categories (P for trend <0.001), with an average difference of approximately 460 kJ/d for men and 365 kJ/d for women, between categories of the Cambridge index. The EPIC-PAQ is suitable for categorizing European men and women into four distinct categories of overall physical activity. The difference in PAEE between categories may be useful when estimating effect sizes from observational research. The online version of this article (doi:10.1007/s10654-011-9625-y) contains supplementary material, which is available to authorized users.
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