Background: Stature estimation is a key parameter in biological profiling of human skeletal remains and thus in aiding in the identification process of the deceased. Various methods, including anatomical approaches, multifactorial regressions and organic correlation approaches, have been developed to estimate stature. Challenges arise from incomplete or altered remains, outdated reference samples, and the lack of population specific studies. This paper critically examines genetic influences and population-specific factors, the present status quo, recent developments and the challenges in stature estimation in forensic anthropology. Methods: The study appraises the current status, challenges, and future directions of stature estimation in forensic anthropology and bioarchaeology. The open-source literature is systematically identified, and relevant osteological and imaging-based studies are screened and prioritised when they report original empirical data or clearly defined methodological developments, enabling consistent extraction of sample and population descriptors, modelling strategies, and limitations. Included studies are then synthesised comparatively and summarised in a study table to support direct cross-study evaluation. Results: Stature estimation accuracy is shown to depend on population, ancestry, sex, time period, and environment, with cross-population or cross-temporal equation transfer identified as a key source of bias. Limitations include fragmented/altered remains and non-representative reference samples, while newer imaging and probabilistic approaches improve performance when supported by suitable data and explicit error quantification. Conclusions: In the present article, stature estimation is positioned as a context-dependent, evidence-weighted process rather than a fixed calculation.
Siddiqui et al. (Thu,) studied this question.