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A comparison of anthropometric indicators in predicting the incidence of diabetes and intermediate hyperglycaemia in Finland: a 22-year observational study

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Název: A comparison of anthropometric indicators in predicting the incidence of diabetes and intermediate hyperglycaemia in Finland: a 22-year observational study
Autoři: Julia Lybeck, Jaakko Tuomilehto, Jouko Saramies, Markku Koiranen, Hannu Uusitalo, Sirkka Keinänen-Kiukaanniemi, Kadri Suija
Zdroj: BMC Public Health, Vol 25, Iss 1, Pp 1-10 (2025)
Informace o vydavateli: BMC, 2025.
Rok vydání: 2025
Sbírka: LCC:Public aspects of medicine
Témata: Anthropometric indicators, Type 2 diabetes, Intermediate hyperglycaemia, Body mass index, Predictive accuracy, Sex-specific cutoffs, Public aspects of medicine, RA1-1270
Popis: Abstract Background Given the rising global prevalence of obesity and its strong association with type 2 diabetes, this study aims to evaluate the comparative effectiveness of various anthropometric indicators in predicting the incidence of type 2 diabetes and intermediate hyperglycaemia (IH) over a 22-year period. Due to the limitations of body mass index as a predictive marker, the study assesses alternative metrics, including waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), waist circumference (WC), and relative fat mass (RFM), to determine their predictive power for type 2 diabetes and intermediate hyperglycaemia. Methods The cohort comprised 1168 adults (aged ≥ 50 years) from Savitaipale, Finland. Data collection included clinical and laboratory assessments and questionnaires at baseline and at the 10-, and 22-year follow-ups. The incidence of type 2 diabetes and IH was assessed via a 2-h oral glucose tolerance test and health care registry data. Receiver operating characteristic (ROC) curves and area under the curve (AUC) metrics were used to evaluate the predictive power of each indicator, stratified by sex. Results WHR had the highest predictive accuracy for type 2 diabetes in men (AUC = 0.70), whereas RFM and WHtR were equally predictive in women (AUC = 0.68). For IH, RFM and WHR were most predictive in men, and WHtR in women. Combining multiple indicators improved the sensitivity of type 2 diabetes prediction. Conclusions Alternative anthropometric indicators offer comparable predictive value and show potential for individualised type 2 diabetes and IH risk assessment. Sex-specific cutoffs and a multi-indicator approach could be used to improve screening and early intervention strategies, potentially improving public health management of diabetes risk.
Druh dokumentu: article
Popis souboru: electronic resource
Jazyk: English
ISSN: 1471-2458
Relation: https://doaj.org/toc/1471-2458
DOI: 10.1186/s12889-025-25071-3
Přístupová URL adresa: https://doaj.org/article/7c0cdf0a04ef48649247aa5b257208ac
Přístupové číslo: edsdoj.7c0cdf0a04ef48649247aa5b257208ac
Databáze: Directory of Open Access Journals
Popis
Abstrakt:Abstract Background Given the rising global prevalence of obesity and its strong association with type 2 diabetes, this study aims to evaluate the comparative effectiveness of various anthropometric indicators in predicting the incidence of type 2 diabetes and intermediate hyperglycaemia (IH) over a 22-year period. Due to the limitations of body mass index as a predictive marker, the study assesses alternative metrics, including waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), waist circumference (WC), and relative fat mass (RFM), to determine their predictive power for type 2 diabetes and intermediate hyperglycaemia. Methods The cohort comprised 1168 adults (aged ≥ 50 years) from Savitaipale, Finland. Data collection included clinical and laboratory assessments and questionnaires at baseline and at the 10-, and 22-year follow-ups. The incidence of type 2 diabetes and IH was assessed via a 2-h oral glucose tolerance test and health care registry data. Receiver operating characteristic (ROC) curves and area under the curve (AUC) metrics were used to evaluate the predictive power of each indicator, stratified by sex. Results WHR had the highest predictive accuracy for type 2 diabetes in men (AUC = 0.70), whereas RFM and WHtR were equally predictive in women (AUC = 0.68). For IH, RFM and WHR were most predictive in men, and WHtR in women. Combining multiple indicators improved the sensitivity of type 2 diabetes prediction. Conclusions Alternative anthropometric indicators offer comparable predictive value and show potential for individualised type 2 diabetes and IH risk assessment. Sex-specific cutoffs and a multi-indicator approach could be used to improve screening and early intervention strategies, potentially improving public health management of diabetes risk.
ISSN:14712458
DOI:10.1186/s12889-025-25071-3