Age at menarche and chronological age as explanatory factors of BMI: a cross-sectional study among Peruvian adolescents

BACKGROUND: Age at menarche has been associated with various indicators of adolescent health, including body mass index (BMI). However, its specific contribution to BMI across different geographical contexts remains largely unexplored. OBJECTIVE: To analyze whether chronological age and age at menar...

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Autores principales: Gálvez-Díaz, Norma Del Carmen, Javier Aliaga, David Joel, Casas-Gálvez, Christian, Barreto-Espinoza, Luz Antonia, Saintila, Jacksaint, Calizaya Milla, Yaquelin Eveling
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Publicado: 2025
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author Gálvez-Díaz, Norma Del Carmen
Javier Aliaga, David Joel
Casas-Gálvez, Christian
Barreto-Espinoza, Luz Antonia
Saintila, Jacksaint
Calizaya Milla, Yaquelin Eveling
author_browse Barreto-Espinoza, Luz Antonia
Calizaya Milla, Yaquelin Eveling
Casas-Gálvez, Christian
Gálvez-Díaz, Norma Del Carmen
Javier Aliaga, David Joel
Saintila, Jacksaint
author_facet Gálvez-Díaz, Norma Del Carmen
Javier Aliaga, David Joel
Casas-Gálvez, Christian
Barreto-Espinoza, Luz Antonia
Saintila, Jacksaint
Calizaya Milla, Yaquelin Eveling
author_sort Gálvez-Díaz, Norma Del Carmen
collection Producción científica
description BACKGROUND: Age at menarche has been associated with various indicators of adolescent health, including body mass index (BMI). However, its specific contribution to BMI across different geographical contexts remains largely unexplored. OBJECTIVE: To analyze whether chronological age and age at menarche act as explanatory factors of BMI in a sample of Peruvian adolescents. METHODS: This was an explanatory study. A non-probabilistic sample of 423 adolescents from Lambayeque, Peru, was included. A structured data collection sheet was used to assess age at menarche, as well as weight and height. RESULTS: The multiple regression model identified age at menarche and chronological age as significant predictors of BMI. Model 2 demonstrated a better fit (BIC = 1658 vs. BIC = 1669 in Model 1) and explained 31% of the variability in BMI (adjusted R² = 0.310, F = 96.018, p < 0.001). A negative effect of age at menarche on BMI was observed (β = -0.161, p < 0.001), indicating that earlier menarche is associated with higher BMI. Similarly, chronological age had a significant positive effect (β = 0.516, p < 0.001) and was the variable with the greatest impact on BMI. CONCLUSION: Chronological age and age at menarche are important explanatory factors of BMI in adolescents. Earlier menarche is associated with higher BMI, underscoring the importance of considering pubertal development when evaluating nutritional status during this stage of life.
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spelling oai:cris.upeu.edu.pe:20.500.15037/2292026-11-02T12:57:04ZAge at menarche and chronological age as explanatory factors of BMI: a cross-sectional study among Peruvian adolescentsGálvez-Díaz, Norma Del CarmenJavier Aliaga, David JoelCasas-Gálvez, ChristianBarreto-Espinoza, Luz AntoniaSaintila, JacksaintCalizaya Milla, Yaquelin EvelingMenarcheAdolescentAge factorsbody mass indexnutritional statusPeruBACKGROUND: Age at menarche has been associated with various indicators of adolescent health, including body mass index (BMI). However, its specific contribution to BMI across different geographical contexts remains largely unexplored. OBJECTIVE: To analyze whether chronological age and age at menarche act as explanatory factors of BMI in a sample of Peruvian adolescents. METHODS: This was an explanatory study. A non-probabilistic sample of 423 adolescents from Lambayeque, Peru, was included. A structured data collection sheet was used to assess age at menarche, as well as weight and height. RESULTS: The multiple regression model identified age at menarche and chronological age as significant predictors of BMI. Model 2 demonstrated a better fit (BIC = 1658 vs. BIC = 1669 in Model 1) and explained 31% of the variability in BMI (adjusted R² = 0.310, F = 96.018, p < 0.001). A negative effect of age at menarche on BMI was observed (β = -0.161, p < 0.001), indicating that earlier menarche is associated with higher BMI. Similarly, chronological age had a significant positive effect (β = 0.516, p < 0.001) and was the variable with the greatest impact on BMI. CONCLUSION: Chronological age and age at menarche are important explanatory factors of BMI in adolescents. Earlier menarche is associated with higher BMI, underscoring the importance of considering pubertal development when evaluating nutritional status during this stage of life.Articlehttps://pubmed.ncbi.nlm.nih.gov/41286842https://doi.org/10.1186/s12905-025-04181-5PMC1275154210.1186/s12905-025-04181-5https://hdl.handle.net/20.500.15037/22941286842W4416598319enBMC Women s Health1472-68742025-11-242026-06-13T08:04:08Z2026-06-13T08:04:08Z
spellingShingle Menarche
Adolescent
Age factors
body mass index
nutritional status
Peru
Gálvez-Díaz, Norma Del Carmen
Javier Aliaga, David Joel
Casas-Gálvez, Christian
Barreto-Espinoza, Luz Antonia
Saintila, Jacksaint
Calizaya Milla, Yaquelin Eveling
Age at menarche and chronological age as explanatory factors of BMI: a cross-sectional study among Peruvian adolescents
title Age at menarche and chronological age as explanatory factors of BMI: a cross-sectional study among Peruvian adolescents
title_full Age at menarche and chronological age as explanatory factors of BMI: a cross-sectional study among Peruvian adolescents
title_fullStr Age at menarche and chronological age as explanatory factors of BMI: a cross-sectional study among Peruvian adolescents
title_full_unstemmed Age at menarche and chronological age as explanatory factors of BMI: a cross-sectional study among Peruvian adolescents
title_short Age at menarche and chronological age as explanatory factors of BMI: a cross-sectional study among Peruvian adolescents
title_sort age at menarche and chronological age as explanatory factors of bmi a cross sectional study among peruvian adolescents
topic Menarche
Adolescent
Age factors
body mass index
nutritional status
Peru
topic_facet Menarche
Adolescent
Age factors
body mass index
nutritional status
Peru
url https://pubmed.ncbi.nlm.nih.gov/41286842
https://doi.org/10.1186/s12905-025-04181-5
https://hdl.handle.net/20.500.15037/229
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