Biological aging and physical fitness in men aged 20–70 years from<scp>K</scp>raków,<scp>P</scp>oland

Gołąb, Stanisław; Woronkowicz, Agnieszka; Kryst, Łukasz

doi:10.1002/ajhb.22820

Cited by 6 publications

(3 citation statements)

References 37 publications

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“…These observations and possible explanations are in line with a previous longitudinal study, in which both the level of physical activity and BMI, especially earlier in life, can influence the physical capacity at 52 years of age (Westerståhl et al, 2018). Additionally, as shown in a previous study of Krak ow's population (Gołąb et al, 2016), there is a significant relationship between physical activity and biological age. It suggests, that engaging in regular physical activity may help slow down the natural aging process and promote more positive health outcomes by inhibiting involutional changes and thus improving overall health and well-being (Gołąb et al, 2016).…”

Section: Physical Fitness Testssupporting

confidence: 90%

“…Additionally, as shown in a previous study of Kraków's population (Gołąb et al, 2016), there is a significant relationship between physical activity and biological age. It suggests, that engaging in regular physical activity may help slow down the natural aging process and promote more positive health outcomes by inhibiting involutional changes and thus improving overall health and well‐being (Gołąb et al, 2016).…”

Section: Discussionsupporting

confidence: 59%

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Changes in physical fitness and body build of women and men surveyed in 2004 and 2022—A longitudinal study

Żarów,

Żegleń,

Woronkowicz

et al. 2024

American J Hum Biol

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Physical fitness plays a crucial role in determining human health and overall well‐being. The objective of the study was to assess the changes in body structure and physical fitness among individuals examined in 2004 and 2022 (persons aged 32–34 and 50–52). The research material consists of data from the Krakow Continuous Study (KCS) of somatic development and physical fitness of people born in 1970 and 1972, conducted in Krakow in the years 1976–2022. In total, in 2004, 103 women and 122 men took part in the study, and in 2022–47 women and 67 men. Of these participants, 37 women and 53 men were present for both measurements. The following measurements were performed–physical fitness tests: handgrip strength of left and right hand, standing broad jump, sit‐and‐reach test and overhead medicine ball throw (2 kg); anthropometric measurements: body height, body weight and tissue composition, circumferences of the chest (relaxed and in deep inspiration), waist, hips, thigh, mid‐upper‐arm (MUAC, relaxed and in deep inspiration), forearm and calf, thickness of biceps, triceps, subscapular, abdominal, suprailiac and calf skinfolds; width of shoulders and hips, depth and width of the chest. A comparative analysis of the two series showed that all fitness test scores deteriorated. The percentage decrease was greater in women than in men in the tests of right and left handgrip strength and overhead medicine ball throw than in men, in the standing broad jump test similar in both sexes, in the sit‐and‐reach test–lower in women than in men. The greatest decreases were observed in the standing broad jump (by 14%) and the 2 kg medicine ball throw (15–12%), both in women and men. In contrast, the level of development of most of the somatic characteristics studied in 2022 was higher compared to the previous study, and, apart from body height, elbow and knee width and calf skinfold in both sexes, the differences in arithmetic means between the 2004 and 2022 series were statistically significant. Furthermore, the absence of involutionary changes in body height can be highlighted. In conclusion, the decrease in physical fitness occurring in adulthood and the increase in most somatic characteristics between 32 and 34 year‐olds and 50 and 52 year‐olds were confirmed.

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Section: Physical Fitness Testssupporting

confidence: 90%

Section: Discussionsupporting

confidence: 59%

Changes in physical fitness and body build of women and men surveyed in 2004 and 2022—A longitudinal study

Żarów,

Żegleń,

Woronkowicz

et al. 2024

American J Hum Biol

Self Cite

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show abstract

“…Despite a substantial research effort [ 8 - 10 ], there is still no agreement upon which panel of biomarkers to use when defining BA [ 11 ]. Targeting health promotion and management of lifestyle-related diseases, studies have developed several BA models that evaluate the degree of severity of the metabolic syndrome [ 12 ], the relation to waist circumference [ 13 ], the relation to physical fitness level [ 14 , 15 ], and the organ-specific health status [ 16 ], just to mention a few.…”

Section: Introductionmentioning

confidence: 99%

A Model for Estimating Biological Age From Physiological Biomarkers of Healthy Aging: Cross-sectional Study

et al. 2022

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Background Individual differences in the rate of aging and susceptibility to disease are not accounted for by chronological age alone. These individual differences are better explained by biological age, which may be estimated by biomarker prediction models. In the light of the aging demographics of the global population and the increase in lifestyle-related morbidities, it is interesting to invent a new biological age model to be used for health promotion. Objective This study aims to develop a model that estimates biological age based on physiological biomarkers of healthy aging. Methods Carefully selected physiological variables from a healthy study population of 100 women and men were used as biomarkers to establish an estimate of biological age. Principal component analysis was applied to the biomarkers and the first principal component was used to define the algorithm estimating biological age. Results The first principal component accounted for 31% in women and 25% in men of the total variance in the biological age model combining mean arterial pressure, glycated hemoglobin, waist circumference, forced expiratory volume in 1 second, maximal oxygen consumption, adiponectin, high-density lipoprotein, total cholesterol, and soluble urokinase-type plasminogen activator receptor. The correlation between the corrected biological age and chronological age was r=0.86 (P<.001) and r=0.81 (P<.001) for women and men, respectively, and the agreement was high and unbiased. No difference was found between mean chronological age and mean biological age, and the slope of the regression line was near 1 for both sexes. Conclusions Estimating biological age from these 9 biomarkers of aging can be used to assess general health compared with the healthy aging trajectory. This may be useful to evaluate health interventions and as an aid to enhance awareness of individual health risks and behavior when deviating from this trajectory. Trial Registration ClinicalTrials.gov NCT03680768; https://clinicaltrials.gov/ct2/show/NCT03680768 International Registered Report Identifier (IRRID) RR2-10.2196/19209

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What can we learn from physical capacity about biological age? A systematic review

Shahar

Hochner

Iktilat

et al. 2022

Ageing Research Reviews

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Biological aging and physical fitness in men aged 20–70 years fromKraków,Poland

Cited by 6 publications

References 37 publications

Changes in physical fitness and body build of women and men surveyed in 2004 and 2022—A longitudinal study

Changes in physical fitness and body build of women and men surveyed in 2004 and 2022—A longitudinal study

A Model for Estimating Biological Age From Physiological Biomarkers of Healthy Aging: Cross-sectional Study

What can we learn from physical capacity about biological age? A systematic review

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