Volarić Nikola, Šojat Dunja, Volarić Mile, Včev Ivan, Keškić Tanja, Majnarić Ljiljana Trtica
Department of Pathophysiology, Physiology and Immunology, Faculty of Dental Medicine and Health, Josip Juraj Strossmayer University of Osijek, Osijek, Croatia.
Department of Family Medicine, Faculty of Medicine, Josip Juraj Strossmayer University of Osijek, Osijek, Croatia.
Front Med (Lausanne). 2024 Dec 17;11:1502940. doi: 10.3389/fmed.2024.1502940. eCollection 2024.
The role of chronic stress in the development of chronic diseases, especially multimorbidity, through the pathways of increasing allostatic load, and finally, allostatic overload (the state when a compensatory mechanism is likely to fail) is being emphasized. However, allostatic load is a dynamic measure that changes depending on sex, gender, age, level and type of stress, experience of a stressful situation, and coping behaviors. Many other factors such as race, ethnicity, working environment, lifestyle, and circadian rhythm of sleep are also important. The aim of this paper was to synthesize the available information on allostatic load differences, especially those connected to sex/gender and age, and to provide a model for the future study of allostatic load, with a focus on these differences. By carefully studying allostatic load factors, we realized that many studies do not take this allostatic load difference into account in the analysis methods. In this paper, we also support the idea of further research to develop new allostatic load analysis strategies that will include all knowledge about sex/gender differences and that will, in more detail, explain numerous changeable social and educational factors that are currently accepted as biological ones. Furthermore, specific allostatic load biomarkers are expressed differently in different age groups, indicating that the discrepancies cannot be attributed solely to sex/gender disparities. This kind of approach can be valuable, not only for better explaining the differences in the frequency and age of onset of chronic diseases and multimorbidity, but also for the potential planning and development of preventive actions based on the aforementioned sex/gender and age disaparities, in order to prevent the most frequent diseases and to establish specific biomarker cut-off values for each sex/gender and age group.
慢性应激通过增加应激负荷,最终导致应激过载(一种代偿机制可能失效的状态),在慢性疾病尤其是多种慢性病的发展过程中所起的作用正受到越来越多的关注。然而,应激负荷是一个动态指标,会因性别、年龄、应激的水平和类型、应激经历以及应对行为的不同而变化。许多其他因素,如种族、民族、工作环境、生活方式和睡眠昼夜节律等也很重要。本文的目的是综合关于应激负荷差异的现有信息,尤其是与性别和年龄相关的差异,并提供一个未来研究应激负荷的模型,重点关注这些差异。通过仔细研究应激负荷因素,我们发现许多研究在分析方法中并未考虑到这种应激负荷差异。在本文中,我们还支持进一步开展研究,以开发新的应激负荷分析策略,该策略将涵盖所有关于性别差异的知识,并将更详细地解释目前被视为生物学因素的众多可变社会和教育因素。此外,特定的应激负荷生物标志物在不同年龄组中的表达有所不同,这表明差异不能仅仅归因于性别差异。这种方法不仅有助于更好地解释慢性病和多种慢性病发病频率及发病年龄的差异,还可为基于上述性别和年龄差异的预防行动进行潜在规划和制定提供帮助,从而预防最常见的疾病,并为每个性别和年龄组确定特定的生物标志物临界值。