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This study aims to examine the relationship between muscle strength, eating index and blood pressure in adolescent girls. Growing studies show earlier onset of hypertension in youth. The prevalence may deteriorate during the COVID-19 pandemic due to unhealthy behavioral changes. Muscle mass (MM) is reported to be associated with blood pressure (BP), but there are limited studies that observed the relationship between the functional properties of muscle (muscle strength [MS]), healthy eating index (HEI) and BP.

This cross-sectional study involved 499 girls aged 15–18 years. HEI was generated from a 24-h food recall. MM and body fat (BF) were measured by bioelectrical impendence analysis (BIA), and MS and BP were measured by hand grip and Tensimeter, respectively. Multiple linear tests were performed to obtain an adjusted model.

Almost five out of 100 girls had high BP (4.8%) and a good diet (4%). The majority of them had desirable MM (75.9%) and low MS (50.1%). HEI negatively and MS are positively associated with systolic blood pressure (SBP). The inclusion of MM in the model diminished the association between MS and SBP completely. After adjustment for age and BF, only MM (ß = 0.19, 95% CI = 0.35, 0.95) was associated with SBP. HEI was inversely (ß = −0.16, 95% CI = −0.31, −0.09) whereas MM (ß = 0.13, 95% CI = 0.11, 0.53) was positively associated with diastolic BP.

Studies associating MM or MS with better physical performance and metabolic health are mostly reported in the elderly; current finding contributes to the lack of literature and implies the importance of examining those associations at a younger age.

HEI and MM are associated with young girls’ BP in different directions. Healthy eating and engagement in activities to optimize muscle function should be promoted in adolescent girls to alleviate the risk of getting cardiovascular disease.

This study aims to provide a comprehensive bibliometric analysis of social exclusion research, examining its evolution and identifying emerging trends and influential contributions in the field.

Using bibliometric and thematic analysis of 3,041 Scopus database documents, the study uses tools like VOSviewer for network analysis and Biblioshiny for trend analysis, focusing on publication patterns, author contributions and thematic clusters.

The findings reveal significant growth in social exclusion research since 1979, highlighting key contributions from diverse academic fields. Notable trends include the rise of digital exclusion and environmental justice themes. The study identifies leading authors, institutions and countries contributing to this field, along with highly cited documents that have shaped the discourse on social exclusion.

The study acknowledges its reliance on Scopus data and suggests incorporating other databases for future research. It highlights the need to explore emerging topics and address literature gaps.

This paper presents a unique bibliometric perspective on social exclusion research, underscoring its interdisciplinary nature and evolving focus. The study’s comprehensive approach offers valuable insights into the field’s trajectory, contributing to a deeper understanding of social exclusion phenomena.