Calloway Eric E, Yaroch Amy L, Ruggerio Cara F, Perkins Meghan E, Long Christopher R, Marriott James P, Wu Allison J, Luo Man, Chapman Kieley L, Gundewar Anisha, Taitelbaum Daniel, Fiechtner Lauren
Center for Nutrition and Health Impact, Omaha, NE, United States.
Center for Nutrition and Health Impact, Omaha, NE, United States.
J Nutr. 2025 Jul 21. doi: 10.1016/j.tjnut.2025.07.011.
One of the first survey measures for assessing nutrition security in the United States is referred to as the Household Nutrition Security Scale (HNSS). Although the analyses conducted in the original HNSS development study supported the validity and reliability of the scale, some survey development steps were beyond the scope of the original study, such as confirmatory factor analysis (CFA) and differential item functioning (DIF).
This study aims to conduct CFA and DIF analyses on the HNSS within a new statewide sample in Massachusetts.
From November 2022 to January 2023, the Greater Boston Food Bank and Mass General Brigham conducted a cross-sectional, statewide, representative survey of Massachusetts adults. In addition to other topics, respondents answered questions about sociodemographics and completed the HNSS. To assess CFA model fit, the Satorra-Bentler scaled chi-squared test, root mean square error of approximation (RMSEA), standardized root mean square residual (SRMR), and the Bentler Comparative Fit Index (CFI) were calculated. Cronbach's alpha was calculated to assess internal consistency. The Cochran-Mantel-Haenszel procedure was used to investigate DIF across demographic groups.
Participants in the analytic sample (n = 2903) were mostly at or under age 54 (60.7%), women (58.0%), non-Hispanic White (71.3%), and with household incomes <$75,000 (71.1%). CFA model fit metrics were well within thresholds for adequate model fit [chi-square 5.213 (Degrees of freedom (DF) = 2, P = 0.074), RMSEA = 0.024 (95% confidence interval: 0.000, 0.049), SRMR = 0.006, and CFI = 0.999]. Cronbach's alpha was 0.923. There was no indication of DIF for any of the 4 items across groups for age, race/ethnicity, gender, educational attainment, income, having children in the household, or household size.
These findings further support construct validity and reliability of HNSS, and the further use of the scale for research and program evaluation purposes within sociodemographically diverse samples of households.
美国用于评估营养安全的首批调查指标之一被称为家庭营养安全量表（HNSS）。尽管在最初的HNSS开发研究中进行的分析支持了该量表的有效性和可靠性，但一些调查开发步骤超出了原始研究的范围，如验证性因子分析（CFA）和差异项目功能（DIF）。
本研究旨在对马萨诸塞州一个新的全州样本中的HNSS进行CFA和DIF分析。
2022年11月至2023年1月，大波士顿食品银行和麻省总医院布莱根分院对马萨诸塞州成年人进行了一项全州范围的横断面代表性调查。除其他主题外，受访者回答了有关社会人口统计学的问题并完成了HNSS。为评估CFA模型拟合度，计算了萨托拉-本特勒标度卡方检验、近似均方根误差（RMSEA）、标准化均方根残差（SRMR）和本特勒比较拟合指数（CFI）。计算Cronbach's alpha以评估内部一致性。采用 Cochr an-Mantel-Haenszel程序调查不同人口群体间的DIF。
分析样本中的参与者（n = 2903）大多年龄在54岁及以下（60.7%），女性（58.0%），非西班牙裔白人（71.3%），家庭收入低于75,000美元（71.1%）。CFA模型拟合度指标完全在适当模型拟合的阈值范围内[卡方值5.213（自由度（DF） = 2，P = 0.074），RMSEA = 0.024（95%置信区间：0.000，0.049），SRMR = 0.006，CFI = 0.999]。Cronbach's alpha为0.923。在年龄、种族/族裔、性别、教育程度、收入、家中有子女或家庭规模等组间的4个项目中，均未显示出DIF。
这些发现进一步支持了HNSS的结构效度和可靠性，以及该量表在社会人口统计学特征多样的家庭样本中用于研究和项目评估目的的进一步应用。
