Marchello Nicholas J, Camargo Juliana T, Gajewski Byron J, Sullivan Debra K, Gibbs Heather D
Department of Nutrition, Kinesiology, and Health, University of Central Missouri, Warrensburg, MO 64093 USA.
Department of Dietetics and Nutrition, University of Kansas Medical Center, 3901 Rainbow Boulevard Mail Stop 4013, Kansas City, KS 66160 USA.
Discov Public Health. 2025;22(1):308. doi: 10.1186/s12982-025-00677-5. Epub 2025 May 28.
Understanding a patient's nutrition literacy weaknesses may aid in improving the patient's nutrition literacy and diet quality. The Nutrition Literacy Assessment Instrument (NLit) was developed to fill this knowledge gap. Global NLit cutoff scores were previously developed; however, subscale NLit cutoff scores are needed.
In this secondary analysis, individual post hoc linear regressions were calculated for each NLit subscale to determine scoring thresholds for each NLit subscale. Scoring thresholds were determined for both long- and short-form NLit subscales.
Two University-affiliated general practice clinics and two University-affiliated safety net clinics were used as recruitment sites.
Patients (n = 402) with self-reported hyperlipidemia, hypertension, diabetes, or obesity were included in primary analysis from which data in this secondary analysis were derived.
Subscale scores were associated with predicted Healthy Eating Index (HEI)-2010 scores linked to increased risk for mortality. Tenth-percentile NLit scores were associated with HEI-2010 scores between 59.33 and 62.27 (by subscale) for the long-form NLit, and between 60.12 and 61.77 for the short-form NLit.
NLit cutoff scores can pinpoint capacity with nutrition information by subscale. Identifying nutrition literacy deficits may allow nutrition professionals to better focus interventions.
The online version contains supplementary material available at 10.1186/s12982-025-00677-5.
了解患者营养知识素养的薄弱环节可能有助于提高患者的营养知识素养和饮食质量。营养知识素养评估工具(NLit)的开发就是为了填补这一知识空白。此前已制定了全球NLit截止分数;然而,还需要各分量表的NLit截止分数。
在这项二次分析中,对每个NLit分量表进行了个体事后线性回归,以确定每个NLit分量表的评分阈值。确定了长版和短版NLit分量表的评分阈值。
两家大学附属医院的全科诊所和两家大学附属医院的安全网诊所被用作招募地点。
自我报告患有高脂血症、高血压、糖尿病或肥胖症的患者(n = 402)纳入了主要分析,本二次分析的数据即来源于此。
分量表分数与预测的2010年健康饮食指数(HEI)分数相关,该分数与死亡风险增加有关。对于长版NLit,第十百分位的NLit分数与HEI-2010分数在59.33至62.27之间(按分量表)相关,对于短版NLit,则在60.12至61.77之间。
NLit截止分数可以按分量表精确确定营养信息能力。识别营养知识素养缺陷可能使营养专业人员能够更好地聚焦干预措施。
在线版本包含可在10.1186/sl2982-025-00677-5获取的补充材料。