5 research outputs found

    Corrigendum: Quality of life and quality of education among physiotherapy students in Europe (Frontiers in Medicine, (2024), 11, (1344028), 10.3389/fmed.2024.1344028)

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    In the published article, an author name was incorrectly written as [Sara Laura Cortés-Amaro]. The correct spelling is [Sara Cortés-Amaro]. The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated

    Quality of life and quality of education among physiotherapy students in Europe

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    Background: The study of physiotherapy is challenging and can affect the students’ well-being and quality of life. The aim of this study was to describe and compare factors that could affect well-being among students across Europe. Methods: In this descriptive cross-sectional study using an online questionnaire survey, students of bachelor’s physiotherapy programs from 23 European faculties, from 8 countries, were interviewed on mental health and stress burden, sleep quality, dietary habits, and physical activity. Results: Although 75% of students rated their quality of life positively and 47% were satisfied with their mental health, 65% showed higher levels of stress and 51% described impaired sleep quality. The minimum physical activity of 150 min weekly was described by 79% of students, within which 67% engaged in strengthening twice a week. Students with a higher stress load/worse psychological health also showed worse sleep quality and lower amount of physical activity, women were significantly worse off. In terms of physical activity and sleep quality, students from Finland and Kosovo achieved the best results, while students from Italy, Greece, and Portugal achieved the worst. Students from Italy indicated the greatest dissatisfaction with the organisation of the study system and communication with teachers, while in Kosovo students rated the communication and study organisation the highest. All students had a problem with adhering to nutritional habits. Students from Italy and Spain, with the lowest body mass indexes and weight averages, were closest to the nutrition recommendations. Conclusion: We demonstrated that physiotherapy students are burdened with stress, suffer from sleep disorders, and do not follow the recommendations regarding nutrition nor physical activity. There are significant differences between universities and countries in some aspects

    Common Genetic Variation And Age at Onset Of Anorexia Nervosa

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    Background Genetics and biology may influence the age at onset of anorexia nervosa (AN). The aims of this study were to determine whether common genetic variation contributes to AN age at onset and to investigate the genetic associations between age at onset of AN and age at menarche. Methods A secondary analysis of the Psychiatric Genomics Consortium genome-wide association study (GWAS) of AN was performed which included 9,335 cases and 31,981 screened controls, all from European ancestries. We conducted GWASs of age at onset, early-onset AN (< 13 years), and typical-onset AN, and genetic correlation, genetic risk score, and Mendelian randomization analyses. Results Two loci were genome-wide significant in the typical-onset AN GWAS. Heritability estimates (SNP-h2) were 0.01-0.04 for age at onset, 0.16-0.25 for early-onset AN, and 0.17-0.25 for typical-onset AN. Early- and typical-onset AN showed distinct genetic correlation patterns with putative risk factors for AN. Specifically, early-onset AN was significantly genetically correlated with younger age at menarche, and typical-onset AN was significantly negatively genetically correlated with anthropometric traits. Genetic risk scores for age at onset and early-onset AN estimated from independent GWASs significantly predicted age at onset. Mendelian randomization analysis suggested a causal link between younger age at menarche and early-onset AN. Conclusions Our results provide evidence consistent with a common variant genetic basis for age at onset and implicate biological pathways regulating menarche and reproduction.Peer reviewe

    Common Genetic Variation and Age of Onset of Anorexia Nervosa.

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    Genetics and biology may influence the age of onset of anorexia nervosa (AN). The aims of this study were to determine whether common genetic variation contributes to age of onset of AN and to investigate the genetic associations between age of onset of AN and age at menarche. A secondary analysis of the Psychiatric Genomics Consortium genome-wide association study (GWAS) of AN was performed, which included 9335 cases and 31,981 screened controls, all from European ancestries. We conducted GWASs of age of onset, early-onset AN (&lt;13 years), and typical-onset AN, and genetic correlation, genetic risk score, and Mendelian randomization analyses. Two loci were genome-wide significant in the typical-onset AN GWAS. Heritability estimates (single nucleotide polymorphism-h &lt;sup&gt;2&lt;/sup&gt; ) were 0.01-0.04 for age of onset, 0.16-0.25 for early-onset AN, and 0.17-0.25 for typical-onset AN. Early- and typical-onset AN showed distinct genetic correlation patterns with putative risk factors for AN. Specifically, early-onset AN was significantly genetically correlated with younger age at menarche, and typical-onset AN was significantly negatively genetically correlated with anthropometric traits. Genetic risk scores for age of onset and early-onset AN estimated from independent GWASs significantly predicted age of onset. Mendelian randomization analysis suggested a causal link between younger age at menarche and early-onset AN. Our results provide evidence consistent with a common variant genetic basis for age of onset and implicate biological pathways regulating menarche and reproduction

    Common Genetic Variation and Age of Onset of Anorexia Nervosa

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    Background: Genetics and biology may influence the age of onset of anorexia nervosa (AN). The aims of this study were to determine whether common genetic variation contributes to age of onset of AN and to investigate the genetic associations between age of onset of AN and age at menarche. Methods: A secondary analysis of the Psychiatric Genomics Consortium genome-wide association study (GWAS) of AN was performed, which included 9335 cases and 31,981 screened controls, all from European ancestries. We conducted GWASs of age of onset, early-onset AN (<13 years), and typical-onset AN, and genetic correlation, genetic risk score, and Mendelian randomization analyses. Results: Two loci were genome-wide significant in the typical-onset AN GWAS. Heritability estimates (single nucleotide polymorphism–h2) were 0.01–0.04 for age of onset, 0.16–0.25 for early-onset AN, and 0.17–0.25 for typical-onset AN. Early- and typical-onset AN showed distinct genetic correlation patterns with putative risk factors for AN. Specifically, early-onset AN was significantly genetically correlated with younger age at menarche, and typical-onset AN was significantly negatively genetically correlated with anthropometric traits. Genetic risk scores for age of onset and early-onset AN estimated from independent GWASs significantly predicted age of onset. Mendelian randomization analysis suggested a causal link between younger age at menarche and early-onset AN. Conclusions: Our results provide evidence consistent with a common variant genetic basis for age of onset and implicate biological pathways regulating menarche and reproduction
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