Lifestyle factors associated with biofunctional age in a cross-sectional study of adults aged 35 and older
Abstract
Ageing is a complex process influenced by chronological age, gender, genetics, lifestyle and environment leading to intra- and inter-individual variability in vitality and the trajectory of healthy ageing. This study aimed to identify key lifestyle factors and to develop a Lifestyle Index (LI) for low-threshold, practical assessment of Biological Functional Status (BFS) in routine health evaluations. A monocentric, cross-sectional, observational study including 630 participants; BFS and LI were derived for a subgroup of 312 participants aged ≥ 35 years, consistent with the age threshold required by the validated BFA model. Data collection comprised demographic, lifestyle and functional health parameters. Statistical analysis identified modifiable lifestyle factors most strongly linked to BFS and BFA forming the basis of the LI. Five lifestyle factors form the basis of the primary Lifestyle Index (LI): high physical activity (≥ 3 x /week), r = − 0.212), satisfaction with sexual life (r = − 0.156), normal Body Mass Index (18.5–22 kg/m ² , r = − 0.120), very good sleep (r = − 0.099) and never /past smoking (r = 0.128). The constructed LI (0- 10 points) correlated with lower BFA (r = − 0.233; p < 0.001), indicating a healthier lifestyle profile. Mean LI score was 5.7 points (SD = 1.7; median = 5.5). Alcohol consumption also appears to exert an influence; however, this aspect warrants separate discussion. Accordingly, alcohol consumption was examined in a separate sensitivity analysis (see results “Sensitivity analysis: alcohol consumption” section). Active ageing should not be conceptualized as alignment with a normative biological age, but rather as the optimization of functional capacity within the context of individual variability and life circumstances. We developed a simple, cost-effective and user-friendly LI, intended as a preliminary, low-threshold tool for the assessment of BFS. Before it can support routine clinical use and personalized strategies for healthy aging, external validation and confirmation in more diverse populations is needed.
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BibTeX
@article{theis2026lifestyle,
title = {{Lifestyle factors associated with biofunctional age in a cross-sectional study of adults aged 35 and older}},
author = {Susanne Theis and Valeria Heller and Norman Bitterlich and Michael von Wolff and Hamideh Frühwein and Petra Stute},
journal = {Scientific Reports},
year = {2026},
month = oct,
doi = {10.1038/s41598-026-75524-x},
url = {https://www.nature.com/articles/s41598-026-75524-x},
note = {CC BY 4.0},
}
RIS
TY - JOUR
TI - Lifestyle factors associated with biofunctional age in a cross-sectional study of adults aged 35 and older
AU - Susanne Theis
AU - Valeria Heller
AU - Norman Bitterlich
AU - Michael von Wolff
AU - Hamideh Frühwein
AU - Petra Stute
PY - 2026
DA - 2026/10/17
JO - Scientific Reports
DO - 10.1038/s41598-026-75524-x
UR - https://www.nature.com/articles/s41598-026-75524-x
AB - Ageing is a complex process influenced by chronological age, gender, genetics, lifestyle and environment leading to intra- and inter-individual variability in vitality and the trajectory of healthy ageing. This study aimed to identify key lifestyle factors and to develop a Lifestyle Index (LI) for low-threshold, practical assessment of Biological Functional Status (BFS) in routine health evaluations. A monocentric, cross-sectional, observational study including 630 participants; BFS and LI were derived for a subgroup of 312 participants aged ≥ 35 years, consistent with the age threshold required by the validated BFA model. Data collection comprised demographic, lifestyle and functional health parameters. Statistical analysis identified modifiable lifestyle factors most strongly linked to BFS and BFA forming the basis of the LI. Five lifestyle factors form the basis of the primary Lifestyle Index (LI): high physical activity (≥ 3 x /week), r = − 0.212), satisfaction with sexual life (r = − 0.156), normal Body Mass Index (18.5–22 kg/m ² , r = − 0.120), very good sleep (r = − 0.099) and never /past smoking (r = 0.128). The constructed LI (0- 10 points) correlated with lower BFA (r = − 0.233; p < 0.001), indicating a healthier lifestyle profile. Mean LI score was 5.7 points (SD = 1.7; median = 5.5). Alcohol consumption also appears to exert an influence; however, this aspect warrants separate discussion. Accordingly, alcohol consumption was examined in a separate sensitivity analysis (see results “Sensitivity analysis: alcohol consumption” section). Active ageing should not be conceptualized as alignment with a normative biological age, but rather as the optimization of functional capacity within the context of individual variability and life circumstances. We developed a simple, cost-effective and user-friendly LI, intended as a preliminary, low-threshold tool for the assessment of BFS. Before it can support routine clinical use and personalized strategies for healthy aging, external validation and confirmation in more diverse populations is needed.
SN - 2045-2322
ER -