Nguyen Christine Q, Mosquera-Moscoso Johanna, Clapp Adrianna D M, Arciniegas Nicolas, Wight Jeff T
Department of Family Medicine, Mayo Clinic Florida, Jacksonville, Florida, USA.
Jacksonville University, Jacksonville, Florida, USA.
Am J Lifestyle Med. 2025 Sep 8:15598276251375401. doi: 10.1177/15598276251375401.
A 21-question Lifestyle Medicine Assessment (LMA) tool was recently developed to quickly evaluate the lifestyle medicine domains (Avoidance of Substance Use, Nutrition, Connection, Movement, and Recovery). In this study, we used the LMA tool to complete a preliminary analysis of family medicine providers, a group that is known to face challenging lifestyle demands and burnout. The primary purpose was to assess the LMA domain scores and determine if significant differences exist (among the domains). The secondary purpose was to complete a correlation matrix for the LMA domain scores to better understand the strength of the relationships (among domains). The participants were 35 family medicine providers and all completed the LMA. The maximum LMA score is 50 (each of the five domains is scored 0-10 points). Pairwise comparisons were used to determine if there were significant differences among the five domain scores (P < .05) and Pearson correlation was used to assess correlations between domains. The overall LMA score was moderate (34.68 ± 6.26). The Recovery domain score (4.71 ± 2.91) was significantly lower (P < 0.01) than the other domains (Connection = 6.94 ± 2.16; Nutrition = 7.41 ± 2.00; Movement = 6.26 ± 2.94; Avoidance of Substance Use = 9.35 ± 1.28). The Avoidance of Substance Use score was significantly higher than the other domains ( < .01). Overall, the correlation scores among the domains were weak (all r-scores were ≤0.34). For this group of providers, there appears to be substantial room for improvement in four of the five domains. The domain of greatest concern appears to be Recovery. The weak correlation scores suggest that domain scores tend to be independent of each other, and that assessment results are unique to the individual.
最近开发了一种包含21个问题的生活方式医学评估（LMA）工具，用于快速评估生活方式医学领域（避免物质使用、营养、人际关系、运动和恢复）。在本研究中，我们使用LMA工具对家庭医学提供者进行了初步分析，这是一个已知面临具有挑战性的生活方式要求和职业倦怠的群体。主要目的是评估LMA领域得分，并确定（各领域之间）是否存在显著差异。次要目的是完成LMA领域得分的相关矩阵，以更好地了解（各领域之间）关系的强度。参与者为35名家庭医学提供者，均完成了LMA评估。LMA的最高得分为50分（五个领域各得0 - 10分）。采用两两比较来确定五个领域得分之间是否存在显著差异（P < 0.05），并使用Pearson相关性来评估各领域之间的相关性。LMA的总体得分中等（34.68 ± 6.26）。恢复领域得分（4.71 ± 2.91）显著低于其他领域（人际关系 = 6.94 ± 2.16；营养 = 7.41 ± 2.00；运动 = 6.26 ± 2.94；避免物质使用 = 9.35 ± 1.28）。避免物质使用得分显著高于其他领域（P < 0.01）。总体而言，各领域之间的相关得分较弱（所有r得分均≤0.34）。对于这组提供者而言，五个领域中的四个领域似乎有很大的改进空间。最令人担忧的领域似乎是恢复。较弱的相关得分表明领域得分往往相互独立，且评估结果因人而异。
