Relationship between physiological, biomechanical, psychological parameters and the risk of developing cardiovascular diseases in women of the second period of mature age

Purpose. To establish correlation relationships between physiological, biomechanical, psychological parameters and the risk of developing cardiovascular diseases in women of the second period of mature age in order to determine the factors that most influence the general health of women. Material & Methods. The study involved two groups of women: the 36-40 year old group – 36 people, the 41-45 year old group – 43 people. A correlation analysis was conducted using the Spearman method, which made it possible to identify statistically significant relationships between morphofunctional, physiological, psychological and biomechanical indicators. Results. Comparison of correlation matrices in groups of women aged 36-40 and 41-45 showed that in the younger group the risk of cardiovascular diseases was significantly determined by arterial pressure and glucose levels. In the older group these correlations are absent, and the connections between pulse pressure and the quality of recovery after physical exercise have increased. In the older group, stronger relationships appear between the level of physical health and the adaptive potential of blood circulation. The Pirogova test in this age category demonstrated a closer relationship with heart rate and blood pressure, which confirms its significance for cardiovascular diseases. At the same time, in the younger groups, the relationships between posture and cardiovascular indicators were significant, which disappeared in the older groups, which may indicate a decrease in the influence of these factors with age. Conclusions. A correlation study found that the main correlates of cardiovascular disease risk in women aged 36-40 were excess body weight, high blood pressure, decreased adaptive capacity of the cardiovascular system, high anxiety levels, and postural disorders. In women aged 41-45, these were indicators of vascular reactivity, adaptation to physical activity, psychoemotional state, and somatic characteristics. A correlation study found that the main correlates of cardiovascular disease risk in women aged 36-40 were excess body weight, high blood pressure, decreased adaptive capacity of the cardiovascular system, high anxiety levels, and postural disorders. In women aged 41-45, the main correlates were vascular reactivity, adaptation to physical activity, psychoemotional state, and somatic characteristics.

Authors

Institutions

Publication Details

Journal
Physical rehabilitation and recreational health technologies
Published
2025-08-30
DOI
https://doi.org/10.15391/prrht.2025-10(4).06
Citations
1
Primary Topic
Human Health and Disease
Type
article
Field-Weighted Citation Impact
3.49
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Relationship between physiological, biomechanical, psychological parameters and the risk of developing cardiovascular diseases in women of the second period of mature age

Vitaliy Kashuba, Svitlana Stadnyk, Larysa Ruban, Darіa Okun et al.
1 citations
Physical rehabilitation and recreational health technologies
Human Health and Disease
3.49
article

Relationship between physiological, biomechanical, psychological parameters and the risk of developing cardiovascular diseases in women of the second period of mature age

Vitaliy Kashuba, Svitlana Stadnyk, Larysa Ruban, Darіa Okun, Valeriia Hubina
article en
1 citations

Abstract

Purpose. To establish correlation relationships between physiological, biomechanical, psychological parameters and the risk of developing cardiovascular diseases in women of the second period of mature age in order to determine the factors that most influence the general health of women. Material & Methods. The study involved two groups of women: the 36-40 year old group – 36 people, the 41-45 year old group – 43 people. A correlation analysis was conducted using the Spearman method, which made it possible to identify statistically significant relationships between morphofunctional, physiological, psychological and biomechanical indicators. Results. Comparison of correlation matrices in groups of women aged 36-40 and 41-45 showed that in the younger group the risk of cardiovascular diseases was significantly determined by arterial pressure and glucose levels. In the older group these correlations are absent, and the connections between pulse pressure and the quality of recovery after physical exercise have increased. In the older group, stronger relationships appear between the level of physical health and the adaptive potential of blood circulation. The Pirogova test in this age category demonstrated a closer relationship with heart rate and blood pressure, which confirms its significance for cardiovascular diseases. At the same time, in the younger groups, the relationships between posture and cardiovascular indicators were significant, which disappeared in the older groups, which may indicate a decrease in the influence of these factors with age. Conclusions. A correlation study found that the main correlates of cardiovascular disease risk in women aged 36-40 were excess body weight, high blood pressure, decreased adaptive capacity of the cardiovascular system, high anxiety levels, and postural disorders. In women aged 41-45, these were indicators of vascular reactivity, adaptation to physical activity, psychoemotional state, and somatic characteristics. A correlation study found that the main correlates of cardiovascular disease risk in women aged 36-40 were excess body weight, high blood pressure, decreased adaptive capacity of the cardiovascular system, high anxiety levels, and postural disorders. In women aged 41-45, the main correlates were vascular reactivity, adaptation to physical activity, psychoemotional state, and somatic characteristics.

Physical rehabilitation and recreational health technologiesVol. 10(4)
National University of Ukraine on Physical Education and Sport (UA), Kharkiv State Academy of Physical Culture (UA), University of Bydgoszcz (PL), University of Economy in Bydgoszcz (PL)
Openalex Percentile: Top 8%
Human Health and Disease
3.49
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.