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针对超重或肥胖成年人的体重管理措施策略的探索性和验证性因素分析及人口统计学相关模型。

Exploratory and confirmatory factor analyses and demographic correlate models of the strategies for weight management measure for overweight or obese adults.

作者信息

Kolodziejczyk Julia K, Norman Gregory J, Roesch Scott C, Rock Cheryl L, Arredondo Elva M, Madanat Hala, Patrick Kevin

出版信息

Am J Health Promot. 2015 Mar-Apr;29(4):e147-57. doi: 10.4278/ajhp.130731-QUAN-391. Epub 2014 Mar 26.

Abstract

PURPOSE

There is a need for a self-report measure that assesses use of recommended strategies related to weight management.

DESIGN

Cross-sectional analysis.

SETTING

Universities, community.

SUBJECTS

Exploratory factor analysis (EFA) involved data from 404 overweight/obese young adults (mean age = 22 years, 48% non-Hispanic white, 68% ethnic minority). Confirmatory factor analysis (CFA) involved data from 236 overweight/obese adults (mean age = 42 years, 63% non-Hispanic white, 84% ethnic minority).

MEASURES

The Strategies for Weight Management (SWM) measure is a 35-item questionnaire that assesses use of recommended behavioral strategies for reducing energy intake and increasing energy expenditure in overweight/obese adults.

ANALYSIS

EFA and CFA were conducted on the SWM. Correlate models assessed the associations between SWM factor/total scores and demographics by using linear regressions.

RESULTS

EFA suggested a four-factor model: strategies categorized as targeting (1) energy intake, (2) energy expenditure, (3) self-monitoring, and (4) self-regulation. CFA indicated good model fit (χ(2)/df = 2.0, comparative fit index = .90, standardized root mean square residual = .06, and root mean square error of approximation = .07, confidence interval = .06-.08, R(2) = .11-.74). The fourth factor had the lowest loadings, possibly because the items cover a wide domain. The final model included 20 items. Correlate models revealed weak associations between the SWM scores and age, gender, Hispanic ethnicity, and relationship status in both samples, with the models explaining only 1% to 8% of the variance (betas = -.04 to .29, p < .05).

CONCLUSION

The SWM has promising psychometric qualities in two diverse samples.

摘要

目的

需要一种自我报告测量方法来评估与体重管理相关的推荐策略的使用情况。

设计

横断面分析。

设置

大学、社区。

研究对象

探索性因素分析(EFA)涉及404名超重/肥胖青年成人(平均年龄 = 22岁,48% 非西班牙裔白人,68% 少数族裔)的数据。验证性因素分析(CFA)涉及236名超重/肥胖成人(平均年龄 = 42岁,63% 非西班牙裔白人,84% 少数族裔)的数据。

测量方法

体重管理策略(SWM)测量是一份包含35个条目的问卷,用于评估超重/肥胖成人使用推荐的行为策略来减少能量摄入和增加能量消耗的情况。

分析

对SWM进行了EFA和CFA。相关模型通过线性回归评估SWM因素/总分与人口统计学特征之间的关联。

结果

EFA提出了一个四因素模型:策略分为针对(1)能量摄入、(2)能量消耗、(3)自我监测和(4)自我调节。CFA表明模型拟合良好(χ(2)/df = 2.0,比较拟合指数 = 0.90,标准化根均方残差 = 0.06,近似根均方误差 = 0.07,置信区间 = 0.06 - 0.08,R(2) = 0.11 - 0.74)。第四个因素的载荷最低,可能是因为这些条目涵盖的领域较广。最终模型包含20个条目。相关模型显示,在两个样本中,SWM得分与年龄、性别、西班牙裔种族和恋爱状况之间的关联较弱,模型仅解释了1%至8%的方差(β系数 = -0.04至0.29,p < 0.05)。

结论

SWM在两个不同样本中具有良好的心理测量学特性。

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