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Preserving Muscle Mass, Strength and Performance in Free-living Older Adults PDF

218 Pages·2013·4.5 MB·English
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Preserving Muscle Mass, Strength and Performance in Free-living Older Adults: A Focus on Dietary Protein Quantity, Distribution and Dairy Products Samaneh Farsijani School of Dietetics and Human Nutrition McGill University, Montreal Quebec, Canada April, 2017 A thesis submitted to McGill University in partial fulfillment of the requirements of the degree of Doctor of Philosophy © Samaneh Farsijani, 2017 ABSTRACT The loss of muscle mass and strength or physical function with aging, known as sarcopenia, is an important predictor of frailty, disability and loss of autonomy. Among etiologic factors, inadequate protein intake may contribute but the effect of its mealtime distribution remains to be shown. As well, the role of dairy products as important sources of protein and other nutrients has been scarcely studied in longitudinal studies. The global objectives of this thesis are: (1) to examine the extent to which total protein intake and mealtime protein distribution are associated with lean mass (LM) and appendicular LM (aLM) and their 2-y changes; (2) to examine the cross-sectional and longitudinal relationships between mealtime distribution of protein intake and physical performance; and (3) to investigate the association between total dairy intake and changes in body composition, physical performance over 3 years, using the NuAge database (Quebec Longitudinal Study on Nutrition and Aging) in free-living men and women aged 67-84 y. Dietary data were extracted from 2 sets of three nonconsecutive 24-h food recalls collected at baseline (T0) and after 2 years (T2). Participants’ protein intake was adjusted to their energy intake using the nutrient residual energy-adjustment method. Protein distribution across meals was calculated as the coefficient of variation (CV) of g protein ingested per meal, with lower values reflecting the evenness of protein intake. In Study 1, body composition data were analyzed in 351 men and 361 women with available dual-energy X- ray absorptiometry data at T0 and 2-y follow-up. In Study 2, two functional composite scores (muscle strength: handgrip, arm and leg; and mobility: timed up-and-go, chair stand, normal and fast walking speed) were analyzed in 827 men and 914 women over 3 years. In Study 3, participants (n=1499) were assessed for their total dairy intakes (milk, cheese, yogurt and dairy‐ based desserts). Frailty was defined according to Fried et al. 2001 criteria. In all studies, mixed I model analysis was used to examine trajectories of muscle mass, strength and mobility across time, by sex, as conditioned by studied variables (i.e., protein quantity, distribution and total dairy intake), adjusted for potential covariates. Results from Study 1 showed that an even protein intake distribution across meals, independent of the total protein amount, was associated with higher LM and aLM in both older men and women throughout follow-up. But neither protein quantity nor distribution affected the rate of LM loss in either sex. In Study 2, more even distribution of protein intake was associated with higher muscle strength, but not mobility function, in both sexes throughout follow -up (3 years), independently of the total protein intake. The physical performance decline over 3 years was not affected by protein intake distribution in either sex. Study 3 showed independent associations between higher dairy consumption and higher LM and a better mobility score throughout follow -up in both sexes. Higher dairy intake was inversely associated with body fat in women, while the association was positive in men. Additionally, the risk of pre -frailty/frailty was lower among high dairy consumers in men. However, time-dependent changes in body composition, muscle strength or physical performance were not related to dairy intake in either sex. Our studies support that specific nutritional approaches, e.g., higher and a more evenly distributed protein intake as well as higher dairy intake, are independently associated with higher muscle mass and better physical function, but not with their changes over a short (2 -3 years) follow-up period, in well-functioning older adults. However, even at the same rate of decline, having a higher lean mass and strength may delay reaching the sarcopenic threshold. Longer -term and larger observational and clinical trials are warranted to support future recommendations. II RESUME La perte de masse et de force musculaire et une fonction physique amoindrie avec l’âge, appellee sarcopénie, est considérée comme un prédicteur important de la fragilité, d’invalidité, et de perte d’autonomie. Parmi les causes possibles, un apport insuffisante en protéines peut contribuer l’effet de sa distribution aux repas reste à être démontré. De plus, le rôle des produits laitiers comme source importante de protéines et autres nutriments n'a guère été étudié dans des études longitudinales. Les objectifs globaux de cette thèse sont les suivants : (1) examiner dans quelle mesure l'apport total en protéines et la distribution des protéines aux repas sont associés à la masse maigre (LM) et à la LM appendiculaire (aLM), et à leurs changements sur 2 ans; (2) examiner la relation transversale et longitudinale entre la distribution de l'apport en protéines aux repas et la performance physique; et 3) étudier l'association entre la consommation totale de produits laitiers et les changements dans la composition corporelle et la performance physique sur 3 an s, en utilisant la base de données NuAge (Étude longitudinale québécoise sur la nutrition et le vieillissement) chez les hommes et les femmes vivant en communauté, de 67 -84 any. Les données alimentaires ont été extraites de 2 séries de trois rappels de 2 4 heures non-consécutifs, collectés au début (T0) et après 2 ans (T2). L'apport en protéines des participants a été ajusté à leur apport énergétique en utilisant la méthode résiduelle d'ajustement pour l’énergie (14, 15). La répartition des protéines aux repas était calculée comme le coefficient de variation (CV) des grammes de protéines ingérées par repas; les valeurs les plus faibles reflétant la régularité de l'apport en protéines. Dans l'étude 1, les données sur la composition corporelle ont été analysé es chez 351 hommes et 361 femmes ayant des données d'absorptiométrie à rayons X à double énergie disponibles au T0 et suivi T2. Dans l'étude 2, deux scores composites fonctionnels (force III musculaire : préhension, bras et jambe, mobilité : “timed -up-and-go”, lever de chaise, vitesse de marche normale et rapide) ont été analysé chez 827 hommes et 914 femmes sur 3 ans. Dans l'étude 3, l’apport total en produits laitiers (lait, fromage, yogourt et desserts à base de lait) a été analysé chez 1499 participants. La fragilité a été définie selon les critères de Fried et al. 2001 (16). Dans toutes les études, l'analyse de modèles mixtes a été utilisée pour examiner les trajectoires de la masse musculaire, de la force et de la mobilité au cours du temps, selon le sexe, telles qu’influencées par les variables étudiées (quantité de protéines, distribution et consommation totale de produits laitiers), et ajustées pour les covariables potentielles. Les résultats de l'étude 1 ont montré qu'une distribution plus uniforme de l 'apport en protéines aux repas était associée à un LM et un aLM plus élevés chez les hommes et les femmes âgés tout au long du suivi, et ce, indépendamment de la quantité totale de protéines. Cependant, ni la quantité ni la distribution des protéines n'ont affecté le taux de perte de LM. Dans l'étude 2, une répartition plus égale de l'apport en protéines était associée à une force musculaire plus élevée (mais pas à la mobilité), chez les deux sexes et tout au long du suivi de 3 ans, indépendamment de la pri se totale de protéines. Le déclin de la performance physique sur 3 ans n'a pas été affecté par la distribution de l'apport protéique. L'étude 3 a démontré des associations indépendantes entre une consommation laitière plus élevée et un LM plus élevé ainsi qu’un meilleur score de mobilité tout au long du suivi, chez les hommes et les femmes. Une consommation laitière plus élevée était inversement associée au taux de graisse corporelle chez les femmes, alors que l'association était positive chez les hommes. D e plus, le risque de fragilité / pré -fragilité était plus faible chez les grands consommateurs de produits laitiers, chez les hommes. Cependant, les changements dans la composition corporelle, la force musculaire ou la performance physique au cours du temp s n'étaient pas été liés à l'ingestion de produits laitiers, ni chez les hommes ni chez les femmes. IV Nos études soutiennent que les approches nutritionnelles spécifiques, par exemple, une consommation de protéines plus élevée et plus uniformément distribuée, ainsi qu'une consommation plus élevée de produits laitiers, sont indépendamment associées à une masse musculaire plus élevée et à une meilleure fonction physique, mais pas avec leurs changements sur une courte durée (2-3 ans) de suivi, chez les personnes âgées. Cependant, au même taux de déclin, d’avoir une masse et une force musculaire plus élevées peuvent retarder l'atteinte du seuil sarcopique. Ceci étant, des études d’intervention de plus longue durée sont justifiées pour soutenir des recommandations futures. V ACKNOWLEDGMENTS Writing this part of my thesis is the most desirable part, as I can express my sincere feelings originated deep from my heart without any challenge of searching for the right references or using a citation manager software. It is a great pleasure to thank the many people who made this journey possible for me. First and foremost, I would like to thank my supervisor, Dr. Stéphanie Chevalier, who has been a wonderful mentor and teacher, thank you for always trusting me andb elieving in me during every moment of my PhD journey. I am always grateful that you warmly welcomed me in your lab. Thank you for your supports, encouragement, and thoughtful scientific discussions that helped me become a better researcher. My sincere thanks go to my committee members, Dr. Katherine Gray-Donald and Dr. Jose A Morais, for their great advice and comments on my manuscripts. I would also like to recognize all the NuAge cohort participants, who made this work possibl,e and also special thanks to the entire NuAge research team, especially Dr. Hélène Payette, Dr. Pierrette Gaudreau, Dr. Bryna Shatenstein for all their helps in revising my manuscripts. I would like to thank Dr. Raman Agnihotram for his statistical consultations and for patiently erviewing my analyses. I have always believed that people are placed in our life for reasons, and Dr. Hope Weiler is for sure one of them. Thank you for all the genuine advice and for your kindness, you ared efinitely my role model. I will always be grateful to Dr. Errol Marliss for being there to help me, I learned a lot from his professionalism and caring about colleagues, and also for his kind helps in revising my manuscripts. I owe my gratitude to Ms. Marie Lamarchefo r kindly accommodating myl ast- VI minute requests for favors. I am grateful to Dr. Terry Comb, who took the time to share his knowledge of protein biochemistry. I would like to thank my dear friends, whom I met in Canada, Shima Sadeghi, Negar Tabatabaei, Niloofar Hariri, Nadjmeh Nikpour, Kathryn Jacob, Catherine D'Aguiar and Maryam Razaghi, for the joyful gatherings and for all their emotional supports and inspirations. Lastly, and most importantly, I wish to thank my parents, Shahla Yousef Niaz and Hassan Farsijani. They raised me, taught me, and loved me. Thank you with all my heart and soul for all the supports you have provided me over the years. Thank you for encouraging me to trust my ideas and follow my ambitions above the cultural barriers and geograp hical constrains. I am truly blessed to have the most amazing brother, Behzad, sister, Somayeh and brother -in-low, Hadi, who always supported and helped me throughout my training years. Thank you for spending hours over the phone talking to me to make sure I am the least homesick. I am grateful for the new addition to my family, my lovely niece, Bahar, for always making me smile, waking up every morning to see your cute pictures always makes my day. I would like to end my acknowledgement with thanking my dear Husband, Sina, for being understanding, sympathetic, patience, and encouraging through this process. Our scientific discussions have inspired me a lot and had a great impact on my research quality. VII DEDICATION To my mom and dad… for their kindness, devotion, and endless support. VIII CONTRIBUTION OF AUTH ORS For manuscript 1 , the candidate designed the study (with Dr. Stéphanie Chevalier) , analyzed food recalls, performed statistical analyses, made major data interpretation, was the primary author, and wrote the first draft of the manuscript . Dr. José A. Morais , Dr. Hélène Payette , Dr. Pierrette Gaudreau, Dr. Bryna Shatenstein and Dr. Katherine Gray -Donald designed the NuAge st udy and conducted the research. Dr. Raman Agnihothram, provided statistical c onsultations on longitudinal data analysis. Dr. Stéphanie Chevalier, provided consultation for statistical analyses, data interpretation and revisions of the manuscript. The NuAge study was supported by the Canadian Institutes for Health Research ( CIHR; MOP-62842) and the Quebec Network for Research on Aging (RQRV), a network funded by The Fonds de recherche du Québec – Santé (FRQS). For manuscript 2, the candidate designed the study (with Dr. Stéphanie Chevalier), analyzed food recalls, performed data preparation and statistical analyses, made major data interpretation, was the primary author, and wrote the first draft of the manuscript. Dr. José A. Morais, Dr. Hélène Payette, Dr. Pierrette Gaudreau, Dr. Bryna Shatenstein and Dr. Katherine Gray-Donald designed the NuAge study and conducted the research. Dr. Raman Agnihothram, provided statistical consultations on longitudinal data analysis. Dr. Stéphanie Chevalier, provided consultation for statistical analyses, data interpretation and revisions of the manuscript. For manuscript 3, the candidate analyzed food recalls, performed data preparation and statistical analyses, made major data interpretation, was the primary author, and wrote the first draft of the manuscript. Dr. José A. Morais, Dr. Hélène Payette, Dr. Pierrette Gaudreau, Dr. Bryna Shatenstein and Dr. Katherine Gray-Donald designed the NuAge study and conducted the research. Dr. Raman Agnihothram, provided statistical consultations on longitudinal data analysis. Dr. Stéphanie IX

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Most books are stored in the elastic cloud where traffic is expensive. For this reason, we have a limit on daily download.