University of La Verne, La Verne, CA, USA.
Arch Osteoporos. 2021 Nov 24;16(1):177. doi: 10.1007/s11657-021-01042-0.
Chronic stress from social/environmental pressures has been proposed to affect bone health through increased inflammation. We demonstrate that inflammation from prolonged stress does not cause changes to bone health through inflammation but instead impacts access to health care, social inequalities, and overall health, which in turn impact bone health.
The study provides a comprehensive assessment of how determinants of health across demographic, psychological, mobility-related, health, environmental, and economic domains are associated with the diagnosis of osteoporosis and tests three hypotheses: (1) a diverse set of variables across domains will predict osteoporosis, (2) chronic inflammation as a result of stress (represented by high-sensitivity C-reactive protein) will not be associated with osteoporosis, and (3) the model developed will have high accuracy in predicting osteoporosis.
Logistic regression and Cox proportional hazards models of osteoporosis diagnosis were estimated using data from 14,792 and 13,169 participants (depending on model) in the 2012-2016 waves of the Health and Retirement Study, including the Biomarker Study, the Contextual Data Resource, and validated measures of childhood socioeconomic status. Predictive accuracy was assessed using k-Nearest Neighbors Discriminant Analysis.
Demographic, environmental, and health-related factors were associated with osteoporosis diagnosis, and predictive accuracy of the models was good. High-sensitivity C-reactive protein was not associated with osteoporosis diagnosis.
Social determinants identified indicate access to health care, inequalities in the greater social environment (e.g., access to resources), and overall health (i.e., underlying medical conditions) are key components for developing osteoporosis and indicate underlying health inequities in this sample. There is a need to further address the interplay between primary health care and social determinants of health.
有人提出,来自社会/环境压力的慢性压力会通过增加炎症而影响骨骼健康。我们证明,长期压力引起的炎症并不会通过炎症导致骨骼健康发生变化,而是会影响获得医疗保健的机会、社会不平等以及整体健康状况,而这些反过来又会影响骨骼健康。
该研究全面评估了人口统计学、心理学、与移动性相关、健康、环境和经济领域的健康决定因素与骨质疏松症诊断之间的关系,并检验了三个假设:(1)跨多个领域的各种变量将预测骨质疏松症,(2)压力导致的慢性炎症(由高敏 C 反应蛋白表示)与骨质疏松症无关,以及(3)所开发的模型将具有预测骨质疏松症的高准确性。
使用 2012-2016 年健康与退休研究(包括生物标志物研究、背景数据资源以及经过验证的儿童社会经济地位衡量标准)的 14792 名和 13169 名参与者(取决于模型)的数据,使用逻辑回归和 Cox 比例风险模型估计骨质疏松症诊断,使用 k-最近邻判别分析评估预测准确性。
人口统计学、环境和健康相关因素与骨质疏松症诊断相关,模型的预测准确性较高。高敏 C 反应蛋白与骨质疏松症诊断无关。
确定的社会决定因素表明,获得医疗保健的机会、更广泛社会环境中的不平等(例如,资源获取)以及整体健康(即潜在的医疗条件)是发展骨质疏松症的关键组成部分,并表明该样本中存在潜在的健康不平等。需要进一步解决初级医疗保健和健康决定因素之间的相互作用。