Metabolic Phenotypes—The Game Changer in Quality of Life of Obese Patients?
Background: The present study aimed to investigate the association of obesity phenotypes and quality of life (QoL) scales and their relationship with fat mass (FM) parameters. Methods: This study categorized 104 subjects into 4 obesity phenotypes based on BMI and metabolic syndrome status: metabolic...
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MDPI AG
2022-03-01
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Online Access: | https://www.mdpi.com/2227-9032/10/4/617 |
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author | Ivona Mitu Cristina Preda Cristina Daniela Dimitriu Ovidiu Mitu Irina Iuliana Costache Manuela Ciocoiu |
author_facet | Ivona Mitu Cristina Preda Cristina Daniela Dimitriu Ovidiu Mitu Irina Iuliana Costache Manuela Ciocoiu |
author_sort | Ivona Mitu |
collection | DOAJ |
description | Background: The present study aimed to investigate the association of obesity phenotypes and quality of life (QoL) scales and their relationship with fat mass (FM) parameters. Methods: This study categorized 104 subjects into 4 obesity phenotypes based on BMI and metabolic syndrome status: metabolically healthy obese (MHO), metabolically unhealthy obese (MUO), metabolically healthy non-obese (MHNO), and metabolically unhealthy non-obese (MUNO). Body composition was measured by dual-energy X-ray absorptiometry (DEXA) and metabolic profile was characterized by blood samples. All subjects completed the SF-36 item Short Form Health Survey Questionnaire. Results: Comparing the four obesity phenotypes, significant results were reported for Bodily Pain between MHNO/MUNO (<i>p</i> = 0.034), for Vitality between MHO/MUO (<i>p</i> = 0.024), and for Mental Component Score between MHO/MUO (<i>p</i> = 0.026) and MUO/MUNO (<i>p</i> = 0.003). A more thorough inside-groups analysis yielded a positive and moderate to high correlation between FM parameters and QoL scales in MHO and MHNO, while a negative and weak to moderate correlation was observed in MUO and MUNO. Conclusion: This study reported an inverse U-shaped relationship between FM and QoL in obesity phenotypes, suggesting that metabolic status is a key factor involved in modulating QoL and therefore challenging the idea of obesity as a main driver of low QoL. We recommend the inclusion of FM percentage in the definition of obesity phenotypes in future research, to better evaluate QoL of obesity phenotypes. |
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issn | 2227-9032 |
language | English |
last_indexed | 2024-03-09T10:35:25Z |
publishDate | 2022-03-01 |
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spelling | doaj.art-afc88b830b274d9ea1d0d14a442876b02023-12-01T20:58:32ZengMDPI AGHealthcare2227-90322022-03-0110461710.3390/healthcare10040617Metabolic Phenotypes—The Game Changer in Quality of Life of Obese Patients?Ivona Mitu0Cristina Preda1Cristina Daniela Dimitriu2Ovidiu Mitu3Irina Iuliana Costache4Manuela Ciocoiu5Department of Morpho-Functional Sciences II, University of Medicine and Pharmacy “Grigore T. Popa”, 700115 Iasi, RomaniaDepartment of Endocrinology, University of Medicine and Pharmacy “Grigore T. Popa”, 700115 Iasi, RomaniaDepartment of Morpho-Functional Sciences II, University of Medicine and Pharmacy “Grigore T. Popa”, 700115 Iasi, Romania1st Medical Department, University of Medicine and Pharmacy “Grigore T. Popa”, 700115 Iasi, Romania1st Medical Department, University of Medicine and Pharmacy “Grigore T. Popa”, 700115 Iasi, RomaniaDepartment of Morpho-Functional Sciences II, University of Medicine and Pharmacy “Grigore T. Popa”, 700115 Iasi, RomaniaBackground: The present study aimed to investigate the association of obesity phenotypes and quality of life (QoL) scales and their relationship with fat mass (FM) parameters. Methods: This study categorized 104 subjects into 4 obesity phenotypes based on BMI and metabolic syndrome status: metabolically healthy obese (MHO), metabolically unhealthy obese (MUO), metabolically healthy non-obese (MHNO), and metabolically unhealthy non-obese (MUNO). Body composition was measured by dual-energy X-ray absorptiometry (DEXA) and metabolic profile was characterized by blood samples. All subjects completed the SF-36 item Short Form Health Survey Questionnaire. Results: Comparing the four obesity phenotypes, significant results were reported for Bodily Pain between MHNO/MUNO (<i>p</i> = 0.034), for Vitality between MHO/MUO (<i>p</i> = 0.024), and for Mental Component Score between MHO/MUO (<i>p</i> = 0.026) and MUO/MUNO (<i>p</i> = 0.003). A more thorough inside-groups analysis yielded a positive and moderate to high correlation between FM parameters and QoL scales in MHO and MHNO, while a negative and weak to moderate correlation was observed in MUO and MUNO. Conclusion: This study reported an inverse U-shaped relationship between FM and QoL in obesity phenotypes, suggesting that metabolic status is a key factor involved in modulating QoL and therefore challenging the idea of obesity as a main driver of low QoL. We recommend the inclusion of FM percentage in the definition of obesity phenotypes in future research, to better evaluate QoL of obesity phenotypes.https://www.mdpi.com/2227-9032/10/4/617obesity phenotypesquality of lifefat massmetabolic syndrome |
spellingShingle | Ivona Mitu Cristina Preda Cristina Daniela Dimitriu Ovidiu Mitu Irina Iuliana Costache Manuela Ciocoiu Metabolic Phenotypes—The Game Changer in Quality of Life of Obese Patients? Healthcare obesity phenotypes quality of life fat mass metabolic syndrome |
title | Metabolic Phenotypes—The Game Changer in Quality of Life of Obese Patients? |
title_full | Metabolic Phenotypes—The Game Changer in Quality of Life of Obese Patients? |
title_fullStr | Metabolic Phenotypes—The Game Changer in Quality of Life of Obese Patients? |
title_full_unstemmed | Metabolic Phenotypes—The Game Changer in Quality of Life of Obese Patients? |
title_short | Metabolic Phenotypes—The Game Changer in Quality of Life of Obese Patients? |
title_sort | metabolic phenotypes the game changer in quality of life of obese patients |
topic | obesity phenotypes quality of life fat mass metabolic syndrome |
url | https://www.mdpi.com/2227-9032/10/4/617 |
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