The International Chiropractic Pediatric Association, Media, PA,19063 USA; Life Chiropractic College West, Hayward, CA, 95123, USA; Faculty of Graduate Studies, Southern Cross University, Gold Coast, NSW, Australia.
Department of Mathmatical Sciences, University of Wisconsis-Milwaukee, Milwaukee, WI, USA.
Complement Ther Med. 2020 Jan;48:102231. doi: 10.1016/j.ctim.2019.102231. Epub 2019 Nov 2.
Antonovsky's sense of coherence (SOC) has been shown to positively correlate with quality of life (QoL). We examined the relationship between socio-demographic data and clinical covariates along with various QoL domains to SOC in patients presenting for care within a chiropractic practice-based research network.
In addition to providing socio-demographic information and clinical covariates, patients attending care within a PBRN completed the PROMIS-29 and PROMIS global health to measure of QoL and SOC-29 to measure SOC at baseline. In addition to descriptive statistics, we utilized a random forest analysis to assess the predictively ability of covariates to SOC.
Our dataset was comprised of a convenience sample of 1980 responders (average age = 40.72 years; 1494 females and 486 males). The mean T scores (T1/T2) for the various QoL domains physical functioning (50.97), anxiety (52.03), depression (47.47), fatigue (51.15), ability to participate in social roles and activities (54.44), sleep disturbance (59.85), pain interference (51.27), global physical health (GPH) (49.34) and global mental health (GMH) (50.69). Mean pain intensity rating was 4.23. The mean SOC-29 was 148.34. The most important covariates to changes in SOC were: GPH, depression, anxiety age, fatigue and sleep disturbance. Partial dependence plots revealed that increasing GPH, GMH and age of patient predict increasing SOC. A high SOC was predicted in the presence of low GPH given a high GMH scoring.
The mental health QoL domains had a stronger predictability for SOC than physical health domains.
安东诺维奇的综合适应度（SOC）已被证明与生活质量（QoL）呈正相关。我们研究了在基于脊骨神经医学实践的研究网络（PBRN）中接受治疗的患者的社会人口统计学数据和临床协变量与各种 QoL 领域与 SOC 之间的关系。
除了提供社会人口统计学信息和临床协变量外，参加 PBRN 护理的患者还在基线时完成了 PROMIS-29 和 PROMIS 全球健康来衡量 QoL 和 SOC-29 来衡量 SOC。除了描述性统计数据外，我们还利用随机森林分析来评估协变量对 SOC 的预测能力。
我们的数据集由 1980 名应答者的便利样本组成（平均年龄为 40.72 岁；1494 名女性和 486 名男性）。各种 QoL 领域的 T 分数（T1/T2）的平均值，身体功能（50.97）、焦虑（52.03）、抑郁（47.47）、疲劳（51.15）、参与社会角色和活动的能力（54.44）、睡眠障碍（59.85）、疼痛干扰（51.27）、全球身体健康（GPH）（49.34）和全球心理健康（GMH）（50.69）。平均疼痛强度评分为 4.23。SOC-29 的平均值为 148.34。SOC 变化的最重要协变量是：GPH、抑郁、焦虑、年龄、疲劳和睡眠障碍。偏部分依赖图显示，随着 GPH、GMH 和患者年龄的增加，SOC 呈上升趋势。在 GMH 评分高的情况下，预测 SOC 较高，而 GPH 较低。
心理健康 QoL 领域对 SOC 的预测性强于身体健康领域。
