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Zupo R, Castellana F, Coelho Júnior HJ, De Pergola G, Clodoveo ML, Sardone R. Editorial: The role of nutrition in healthy aging. Front Med (Lausanne) 2023; 10:1335119. [PMID: 38111695 PMCID: PMC10726106 DOI: 10.3389/fmed.2023.1335119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Accepted: 11/23/2023] [Indexed: 12/20/2023] Open
Affiliation(s)
- Roberta Zupo
- Department of Interdisciplinary Medicine (DIM), University of Bari Aldo Moro, Bari, Italy
| | - Fabio Castellana
- Department of Interdisciplinary Medicine (DIM), University of Bari Aldo Moro, Bari, Italy
| | - Hélio José Coelho Júnior
- Department of Experimental Medicine, Section of Medical Pathophysiology, Food Science and Endocrinology, Sapienza University of Rome, Rome, Italy
| | - Giovanni De Pergola
- Department of Biomedical Science and Human Oncology, School of Medicine, University of Bari Aldo Moro, Bari, Italy
| | - Maria Lisa Clodoveo
- Department of Interdisciplinary Medicine (DIM), University of Bari Aldo Moro, Bari, Italy
| | - Rodolfo Sardone
- Unit of Statistics and Epidemiology, Local Health Authority of Taranto, Taranto, Italy
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Zupo R, Donghia R, Castellana F, Bortone I, De Nucci S, Sila A, Tatoli R, Lampignano L, Sborgia G, Panza F, Lozupone M, Colacicco G, Clodoveo ML, Sardone R. Ultra-processed food consumption and nutritional frailty in older age. GeroScience 2023; 45:2229-2243. [PMID: 36826622 PMCID: PMC10651811 DOI: 10.1007/s11357-023-00753-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Accepted: 02/07/2023] [Indexed: 02/25/2023] Open
Abstract
Frailty is a multidisciplinary public health issue and nutrition is key concern. Given the scientific consistency about inflammation as shared pathway to poor nutrition and frailty, food processing seems a suitable target to gain evidence in frailty prevention nutrition settings. This study aimed to assess diet in relation to nutritional frailty using the NOVA classification. Browsing the dataset of the Salus in Apulia, 2185 older adults were found to have completed the nutritional assessment, providing eligible data for this study goal. A validated construct, based on the co-presence of physical frailty by CHS criteria plus nutritional imbalance, was applied to characterize nutritional frailty phenotypes. Using the NOVA classification, daily food and beverage intakes from an 85-item self-administered FFQ were assigned to three categories, and effect sizes were tested among groups according to nutritional frailty status (presence/absence). Raw and adjusted logistic regression models were run to assess associations between NOVA food categories by quintiles of daily exposure (very-low, low, mild, moderate, high) and nutritional frailty. Nutritional frailty prevalence was 27%, being more frequent in males. Eating more unprocessed or minimally processed foods was inversely related to nutritional frailty, even after adjustment (OR: 0.10, 95%CI 0.07-0.16), showing a downward ORs behavior toward lower consumption quintiles. Listing in the quintile of moderate consumption of processed foods meant a nearly 50% increase in nutritional frailty probability (OR: 1.46, 95%CI 1.03-2.06), while the probability was double for the highest quintile against the lowest (OR: 3.22, 95%CI 2.27-4.58). A growing probability of nutritional frailty was found for increasing consumption of ultra-processed foods, but significance was lacking. The contribution of food processing to poor nutrition needs to be considered when promoting a better understanding of effective nutritional screening in aging. Therefore, food processing should be accounted for when composing diet guidelines for the older population within the framework of multidisciplinary efforts to ease the frailty healthcare burden.
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Affiliation(s)
- Roberta Zupo
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Castellana Grotte, Bari, Italy.
| | - Rossella Donghia
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Castellana Grotte, Bari, Italy
| | - Fabio Castellana
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Castellana Grotte, Bari, Italy
| | - Ilaria Bortone
- Institute of Clinical Physiology, National Research Council (IFC-CNR), Pisa, Italy
| | - Sara De Nucci
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Castellana Grotte, Bari, Italy
| | - Annamaria Sila
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Castellana Grotte, Bari, Italy
| | - Rossella Tatoli
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Castellana Grotte, Bari, Italy
| | - Luisa Lampignano
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Castellana Grotte, Bari, Italy
| | - Giancarlo Sborgia
- Department of Translational Biomedicine and Neuroscience, University of Bari Aldo Moro, Bari, Italy
| | - Francesco Panza
- Department of Translational Biomedicine and Neuroscience, University of Bari Aldo Moro, Bari, Italy
| | - Madia Lozupone
- Department of Translational Biomedicine and Neuroscience, University of Bari Aldo Moro, Bari, Italy
| | - Giuseppe Colacicco
- Department of Translational Biomedicine and Neuroscience (DiBrain), University of Bari Aldo Moro, Bari, Italy
| | - Maria Lisa Clodoveo
- Department of Interdisciplinary Medicine, University of Bari Aldo Moro, Bari, Italy
| | - Rodolfo Sardone
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Castellana Grotte, Bari, Italy
- Local Healthcare Authority of Taranto, Taranto, Italy
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De Nucci S, Zupo R, Donghia R, Castellana F, Lofù D, Aresta S, Guerra V, Bortone I, Lampignano L, De Pergola G, Lozupone M, Tatoli R, Sborgia G, Tirelli S, Panza F, Di Noia T, Sardone R. Dietary profiling of physical frailty in older age phenotypes using a machine learning approach: the Salus in Apulia Study. Eur J Nutr 2023; 62:1217-1229. [PMID: 36484807 PMCID: PMC10030526 DOI: 10.1007/s00394-022-03066-9] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Accepted: 12/01/2022] [Indexed: 12/14/2022]
Abstract
PURPOSE Growing awareness of the biological and clinical value of nutrition in frailty settings calls for further efforts to investigate dietary gaps to act sooner to achieve focused management of aging populations. We cross-sectionally examined the eating habits of an older Mediterranean population to profile dietary features most associated with physical frailty. METHODS Clinical and physical examination, routine biomarkers, medical history, and anthropometry were analyzed in 1502 older adults (65 +). CHS criteria were applied to classify physical frailty, and a validated Food Frequency Questionnaire to assess diet. The population was subdivided by physical frailty status (frail or non-frail). Raw and adjusted logistic regression models were applied to three clusters of dietary variables (food groups, macronutrients, and micronutrients), previously selected by a LASSO approach to better predict diet-related frailty determinants. RESULTS A lower consumption of wine (OR 0.998, 95% CI 0.997-0.999) and coffee (OR 0.994, 95% CI 0.989-0.999), as well as a cluster of macro and micronutrients led by PUFAs (OR 0.939, 95% CI 0.896-0.991), zinc (OR 0.977, 95% CI 0.952-0.998), and coumarins (OR 0.631, 95% CI 0.431-0.971), was predictive of non-frailty, but higher legumes intake (OR 1.005, 95%CI 1.000-1.009) of physical frailty, regardless of age, gender, and education level. CONCLUSIONS Higher consumption of coffee and wine, as well as PUFAs, zinc, and coumarins, as opposed to legumes, may work well in protecting against a physical frailty profile of aging in a Mediterranean setting. Longitudinal investigations are needed to better understand the causal potential of diet as a modifiable contributor to frailty during aging.
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Affiliation(s)
- Sara De Nucci
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology "Saverio de Bellis," Research Hospital, Castellana Grotte, Bari, Italy
| | - Roberta Zupo
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology "Saverio de Bellis," Research Hospital, Castellana Grotte, Bari, Italy.
| | - Rossella Donghia
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology "Saverio de Bellis," Research Hospital, Castellana Grotte, Bari, Italy
| | - Fabio Castellana
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology "Saverio de Bellis," Research Hospital, Castellana Grotte, Bari, Italy
| | - Domenico Lofù
- Department of Electrical and Information Engineering, Polytechnic of Bari, Bari, Italy
| | - Simona Aresta
- Department of Electrical and Information Engineering, Polytechnic of Bari, Bari, Italy
| | - Vito Guerra
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology "Saverio de Bellis," Research Hospital, Castellana Grotte, Bari, Italy
| | - Ilaria Bortone
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology "Saverio de Bellis," Research Hospital, Castellana Grotte, Bari, Italy
| | - Luisa Lampignano
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology "Saverio de Bellis," Research Hospital, Castellana Grotte, Bari, Italy
| | - Giovanni De Pergola
- Unit of Geriatrics and Internal Medicine, National Institute of Gastroenterology "Saverio de Bellis," Research Hospital, Castellana Grotte, Bari, Italy
| | - Madia Lozupone
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology "Saverio de Bellis," Research Hospital, Castellana Grotte, Bari, Italy
- Department of Basic Medical Sciences, Neuroscience and Sense Organs, University of Bari "Aldo Moro", Bari, Italy
| | - Rossella Tatoli
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology "Saverio de Bellis," Research Hospital, Castellana Grotte, Bari, Italy
| | - Giancarlo Sborgia
- Department of Basic Medical Sciences, Neuroscience and Sense Organs, University of Bari "Aldo Moro", Bari, Italy
| | - Sarah Tirelli
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology "Saverio de Bellis," Research Hospital, Castellana Grotte, Bari, Italy
| | - Francesco Panza
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology "Saverio de Bellis," Research Hospital, Castellana Grotte, Bari, Italy
- Department of Basic Medical Sciences, Neuroscience and Sense Organs, University of Bari "Aldo Moro", Bari, Italy
| | - Tommaso Di Noia
- Department of Electrical and Information Engineering, Polytechnic of Bari, Bari, Italy
| | - Rodolfo Sardone
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology "Saverio de Bellis," Research Hospital, Castellana Grotte, Bari, Italy
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Bortone I, Zupo R, Castellana F, Aresta S, Lampignano L, Sciarra S, Griseta C, Stallone TA, Sborgia G, Lozupone M, Panza F, Lagravinese G, Battista P, Sardone R. Motoric Cognitive Risk Syndrome, Subtypes and 8-Year All-Cause Mortality in Aging Phenotypes: The Salus in Apulia Study. Brain Sci 2022; 12:861. [PMID: 35884669 PMCID: PMC9313038 DOI: 10.3390/brainsci12070861] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Revised: 06/16/2022] [Accepted: 06/27/2022] [Indexed: 12/12/2022] Open
Abstract
Background: This study aims to establish the key clinical features of different motoric cognitive risk (MCR) subtypes based on individual quantitative measures of cognitive impairment and to compare their predictive power on survival over an 8-year observation time. Methods: We analyzed data from a population-based study of 1138 subjects aged 65 years and older in south Italy. These individuals were targeted and allocated to subtypes of the MCR phenotype according to the slowness criterion plus one other different cognitive domain for each characterized phenotype (Subjective Cognitive Complaint [SCC]; Global Function [Mini Mental State Examination (MMSE) < 24]; or a combination of both). Clinical evaluation and laboratory assays, along with a comprehensive battery of neuropsychological and physical tests, completed the sample investigation. Results: MCR prevalence was found to be 9.8% (n = 112), 3.6% (n = 41), 3.4% (n = 39) and 1.8% (n = 21) for the MCR, MCR-GlobalFunction, MCR-StructuredSCC and MCR-SCC and GlobalFunction, respectively. Univariate Cox survival analysis showed an association only of the MCR-GlobalFunction subtype with an almost three-fold increased risk of overall death as compared to the other counterparts (HR 2.53, 95%CI 1.28 to 4.99) over an 8-year observation period. Using Generalized Estimating Equations (GEE) for clustered survival data, we found that MCR males had an increased and significant mortality risk with respect to MCR female subjects. Conclusions: MCR phenotypes assigned to the MMSE cognitive domain are more likely to have an increased risk of overall mortality, and gender showed a huge effect on the risk of death for MCR subjects over the 8-year observation.
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Affiliation(s)
- Ilaria Bortone
- Unit of Research Methodology and Data Sciences for Population Health, National Institute of Gastroenterology “Saverio de Bellis” Research Hospital, 70013 Castellana Grotte, Italy; (R.Z.); (F.C.); (S.A.); (L.L.); (S.S.); (C.G.); (R.S.)
| | - Roberta Zupo
- Unit of Research Methodology and Data Sciences for Population Health, National Institute of Gastroenterology “Saverio de Bellis” Research Hospital, 70013 Castellana Grotte, Italy; (R.Z.); (F.C.); (S.A.); (L.L.); (S.S.); (C.G.); (R.S.)
| | - Fabio Castellana
- Unit of Research Methodology and Data Sciences for Population Health, National Institute of Gastroenterology “Saverio de Bellis” Research Hospital, 70013 Castellana Grotte, Italy; (R.Z.); (F.C.); (S.A.); (L.L.); (S.S.); (C.G.); (R.S.)
| | - Simona Aresta
- Unit of Research Methodology and Data Sciences for Population Health, National Institute of Gastroenterology “Saverio de Bellis” Research Hospital, 70013 Castellana Grotte, Italy; (R.Z.); (F.C.); (S.A.); (L.L.); (S.S.); (C.G.); (R.S.)
| | - Luisa Lampignano
- Unit of Research Methodology and Data Sciences for Population Health, National Institute of Gastroenterology “Saverio de Bellis” Research Hospital, 70013 Castellana Grotte, Italy; (R.Z.); (F.C.); (S.A.); (L.L.); (S.S.); (C.G.); (R.S.)
| | - Sabrina Sciarra
- Unit of Research Methodology and Data Sciences for Population Health, National Institute of Gastroenterology “Saverio de Bellis” Research Hospital, 70013 Castellana Grotte, Italy; (R.Z.); (F.C.); (S.A.); (L.L.); (S.S.); (C.G.); (R.S.)
| | - Chiara Griseta
- Unit of Research Methodology and Data Sciences for Population Health, National Institute of Gastroenterology “Saverio de Bellis” Research Hospital, 70013 Castellana Grotte, Italy; (R.Z.); (F.C.); (S.A.); (L.L.); (S.S.); (C.G.); (R.S.)
| | - Tommaso Antonio Stallone
- General Direction, National Institute of Gastroenterology “Saverio de Bellis” Research Hospital, 70013 Castellana Grotte, Italy;
| | - Giancarlo Sborgia
- Eye Clinic, Azienda Ospedaliero Universitaria Consorziale Policlinico di Bari, 70124 Bari, Italy;
| | - Madia Lozupone
- Department of Basic Medical Sciences, Neuroscience and Sense Organs, University of Bari “Aldo Moro”, 70100 Bari, Italy; (M.L.); (F.P.)
| | - Francesco Panza
- Department of Basic Medical Sciences, Neuroscience and Sense Organs, University of Bari “Aldo Moro”, 70100 Bari, Italy; (M.L.); (F.P.)
| | - Gianvito Lagravinese
- Clinical and Scientific Institutes Maugeri Pavia, Scientific Institute of Bari, IRCCS, 27100 Pavia, Italy; (G.L.); (P.B.)
| | - Petronilla Battista
- Clinical and Scientific Institutes Maugeri Pavia, Scientific Institute of Bari, IRCCS, 27100 Pavia, Italy; (G.L.); (P.B.)
| | - Rodolfo Sardone
- Unit of Research Methodology and Data Sciences for Population Health, National Institute of Gastroenterology “Saverio de Bellis” Research Hospital, 70013 Castellana Grotte, Italy; (R.Z.); (F.C.); (S.A.); (L.L.); (S.S.); (C.G.); (R.S.)
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Jansen CP, Gordt-Oesterwind K, Schwenk M. Wearable Motion Sensors in Older Adults: On the Cutting Edge of Health and Mobility Research. SENSORS 2022; 22:s22030973. [PMID: 35161719 PMCID: PMC8837998 DOI: 10.3390/s22030973] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Accepted: 01/21/2022] [Indexed: 11/16/2022]
Affiliation(s)
- Carl-Philipp Jansen
- Department of Clinical Gerontology and Geriatric Rehabilitation, Robert Bosch Hospital, 70376 Stuttgart, Germany
- Institute of Sports and Sports Sciences, Heidelberg University, 69120 Heidelberg, Germany;
- Correspondence:
| | | | - Michael Schwenk
- Network Aging Research (NAR), Heidelberg University, 69115 Heidelberg, Germany;
- Human Performance Research Centre, Department of Sport Science, University of Konstanz, 78457 Konstanz, Germany
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John J, Soangra R. Visualization-Driven Time-Series Extraction from Wearable Systems Can Facilitate Differentiation of Passive ADL Characteristics among Stroke and Healthy Older Adults. SENSORS 2022; 22:s22020598. [PMID: 35062557 PMCID: PMC8780832 DOI: 10.3390/s22020598] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Revised: 01/01/2022] [Accepted: 01/10/2022] [Indexed: 02/04/2023]
Abstract
Wearable technologies allow the measurement of unhindered activities of daily living (ADL) among patients who had a stroke in their natural settings. However, methods to extract meaningful information from large multi-day datasets are limited. This study investigated new visualization-driven time-series extraction methods for distinguishing activities from stroke and healthy adults. Fourteen stroke and fourteen healthy adults wore a wearable sensor at the L5/S1 position for three consecutive days and collected accelerometer data passively in the participant’s naturalistic environment. Data from visualization facilitated selecting information-rich time series, which resulted in classification accuracy of 97.3% using recurrent neural networks (RNNs). Individuals with stroke showed a negative correlation between their body mass index (BMI) and higher-acceleration fraction produced during ADL. We also found individuals with stroke made lower activity amplitudes than healthy counterparts in all three activity bands (low, medium, and high). Our findings show that visualization-driven time series can accurately classify movements among stroke and healthy groups using a deep recurrent neural network. This novel visualization-based time-series extraction from naturalistic data provides a physical basis for analyzing passive ADL monitoring data from real-world environments. This time-series extraction method using unit sphere projections of acceleration can be used by a slew of analysis algorithms to remotely track progress among stroke survivors in their rehabilitation program and their ADL abilities.
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Affiliation(s)
- Joby John
- Schmid College of Science and Technology, Chapman University, Orange, CA 92866, USA;
- Fowler School of Engineering, Chapman University, Orange, CA 92866, USA
| | - Rahul Soangra
- Fowler School of Engineering, Chapman University, Orange, CA 92866, USA
- Crean College of Health and Behavioral Sciences, Chapman University, Irvine, CA 92618, USA
- Correspondence: ; Tel.: +1-714-516-6160
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Solarino G, Bortone I, Vicenti G, Bizzoca D, Coviello M, Maccagnano G, Moretti B, D'Angelo F. Role of biomechanical assessment in rotator cuff tear repair: Arthroscopic vs mini-open approach. World J Orthop 2021; 12:991-1000. [PMID: 35036341 PMCID: PMC8696602 DOI: 10.5312/wjo.v12.i12.991] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Revised: 06/28/2021] [Accepted: 12/08/2021] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Rotator cuff (RC) tears are one of the most frequent pathologies within the shoulder girdle. Hand dominance and older age are associated with RC tears. Two different surgical procedures, the mini-open (MO) and all-arthroscopic (AA) approach, represented the standard of treatment. AIM To compare the clinical and biomechanical outcomes of two surgical techniques (AA vs MO procedure) performed to address the painful shoulder syndrome with partial or total supraspinatus tendon tear. METHODS Eighty-eight participants, 50 following RC repair with AA and 38 with MO approach, were recruited in the present cross-sectional case-control study (ORTHO-SHOULDER, Prot. 0054602). All patients underwent postoperative clinical evaluation for pain (Visual analogic scale), impairment, and disability (disability of the arm, shoulder, and hand) and limitation in daily activity (Constant-Murley score). Patients' shoulder mobility was also assessed in our Laboratory of Functional Movement through a wearable inertial sensor and surface electromyography to monitor kinematics and muscle activity during the movement on the frontal (abduction/adduction) and sagittal (flexion-extension) planes. RESULTS No statistically significant differences between the two procedures were observed in either main clinical score or range of motion. A significant increase in velocity during the movement execution and a higher contribution of upper trapezius muscles were found in the AA group compared with MO patients. CONCLUSION In terms of clinical scores, our findings were in line with previous results. However, the use of technology-based assessment of shoulder mobility has revealed significant differences between the two techniques in terms of mean velocity and pattern of muscle activation.
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Affiliation(s)
- Giuseppe Solarino
- Department of Basic Medical Sciences, Neuroscience and Sense Organs, University of Bari "Aldo Moro", Bari 70124, Italy
| | - Ilaria Bortone
- Department of Basic Medical Sciences, Neuroscience and Sense Organs, University of Bari "Aldo Moro", Bari 70124, Italy
| | - Giovanni Vicenti
- Department of Basic Medical Sciences, Neuroscience and Sense Organs, University of Bari "Aldo Moro", Bari 70124, Italy
| | - Davide Bizzoca
- Department of Biomedical Sciences and Human Oncology, University of Bari "Aldo Moro", Bari 70124, Italy
| | - Michele Coviello
- Department of Basic Medical Sciences, Neuroscience and Sense Organs, University of Bari "Aldo Moro", Bari 70124, Italy
| | - Giuseppe Maccagnano
- Orthopaedic and Trauma Unit, Department of Clinical and Experimental Medicine, Faculty of Medicine and Surgery, University of Foggia, General Hospital, Foggia 76545, Italy
| | - Biagio Moretti
- Department of Basic Medical Sciences, Neuroscience and Sense Organs, University of Bari "Aldo Moro", Bari 70124, Italy
| | - Fabio D'Angelo
- Division of Orthopaedics and Traumatology, ASST Sette Laghi, Department of Biotechnologies and Life Sciences, Università degli Studi dell'Insubria, Varese 21100, Italy
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Zupo R, Castellana F, Guerra V, Donghia R, Bortone I, Griseta C, Lampignano L, Dibello V, Lozupone M, Coelho-Júnior HJ, Solfrizzi V, Giannelli G, De Pergola G, Boeing H, Sardone R, Panza F. Associations between nutritional frailty and 8-year all-cause mortality in older adults: The Salus in Apulia Study. J Intern Med 2021; 290:1071-1082. [PMID: 34437740 DOI: 10.1111/joim.13384] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
INTRODUCTION Preventive nutritional management of frailty, a multidimensional intermediate status in the ageing process, may reduce the risk of adverse health-related outcomes. We investigated the ability of a measure combining physical frailty with nutritional imbalance, defined as nutritional frailty, to predict all-cause mortality over a period of up to 8 years. METHODS We analysed data on 1,943 older adults from the population-based 'Salus in Apulia Study'. Physical frailty was operationalized using Cardiovascular Health Study criteria and cognitive frailty by combining physical frailty with cognitive impairment. A novel five-item construct was built to assess the extent of nutritional imbalance identified with a machine learning algorithm. Cox models and Kaplan-Meier survival probability analyses of physical frailty, nutritional imbalance (two or more of the following: low body mass index, low skeletal muscle index, ≥2.3 g/day sodium intake, <3.35 g/day potassium intake and <9.9 g/day iron intake), cognitive frailty and the novel nutritional frailty phenotype (physical frailty plus nutritional imbalance) were applied to assess all-cause mortality risk, adjusted for age, sex, education and multimorbidity. RESULTS The overall prevalence of nutritional frailty was 4.52% (95% confidence interval, CI:3.55-5.44), being more frequent in males. Subjects with nutritional frailty were at higher risk for all-cause mortality [hazard ratio (HR):2.31; 95%CI:1.41-3.79] than those with physical frailty (HR:1.45,95% CI:1.0-2.02), nutritional imbalance (HR:1.39; 95%CI:1.05-1.83) and cognitive frailty (HR:1.06; 95%CI:0.56-2.01). CONCLUSIONS Efforts to identify, manage and prevent frailty should include the nutritional domain. The nutritional frailty phenotype may highlight major nutritional determinants that could drive survival and health trajectories in older adults.
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Affiliation(s)
- Roberta Zupo
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Castellana Grotte, 70013 Bari, Italy
| | - Fabio Castellana
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Castellana Grotte, 70013 Bari, Italy
| | - Vito Guerra
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Castellana Grotte, 70013 Bari, Italy
| | - Rossella Donghia
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Castellana Grotte, 70013 Bari, Italy
| | - Ilaria Bortone
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Castellana Grotte, 70013 Bari, Italy
| | - Chiara Griseta
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Castellana Grotte, 70013 Bari, Italy
| | - Luisa Lampignano
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Castellana Grotte, 70013 Bari, Italy
| | - Vittorio Dibello
- Department of Orofacial Pain and Dysfunction, Academic Centre for Dentistry Amsterdam (ACTA), University of Amsterdam and Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Madia Lozupone
- Department of Basic Medicine, Neuroscience, and Sense Organs, University of Bari Aldo Moro, Bari, Italy
| | | | - Vincenzo Solfrizzi
- "C. Frugoni" Internal and Geriatric Medicine and Memory Unit, University of Bari Aldo Moro, Bari, Italy
| | - Gianluigi Giannelli
- Scientific Direction, Research Hospital, National Institute of Gastroenterology "Saverio de Bellis", Castellana Grotte, Bari, Italy
| | - Giovanni De Pergola
- Scientific Direction, Research Hospital, National Institute of Gastroenterology "Saverio de Bellis", Castellana Grotte, Bari, Italy
| | - Heiner Boeing
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Castellana Grotte, 70013 Bari, Italy.,German Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany
| | - Rodolfo Sardone
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Castellana Grotte, 70013 Bari, Italy
| | - Francesco Panza
- Unit of Data Sciences and Technology Innovation for Population Health, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Castellana Grotte, 70013 Bari, Italy
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Bortone I, Griseta C, Battista P, Castellana F, Lampignano L, Zupo R, Sborgia G, Lozupone M, Moretti B, Giannelli G, Sardone R, Panza F. Physical and cognitive profiles in motoric cognitive risk syndrome in an older population from Southern Italy. Eur J Neurol 2021; 28:2565-2573. [PMID: 33899997 DOI: 10.1111/ene.14882] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Revised: 04/16/2021] [Accepted: 04/17/2021] [Indexed: 12/16/2022]
Abstract
BACKGROUND AND PURPOSE In older age, physical and cognitive declines have been shown to occur simultaneously or consequent to one another, and several operational definitions have been proposed to consider the co-presence of the two declines; for example, "Motoric cognitive risk syndrome" (MCR) has been proposed as a definition for the coexistence of slow gait plus subjective cognitive complaints. Given the increasing interest in MCR and its potential role as both biomarker and therapeutic target, we aimed to estimate its prevalence in a large cohort of non-demented older subjects, and to examine the associations between physical status, global cognitive dysfunction, and impairment in various cognitive domains in MCR. METHODS A population-based sample of 1041 older people in Southern Italy (mean age 75.15 years) was enrolled. We defined MCR using slowness and a single question for subjective cognitive complaints. We also administered a comprehensive neuropsychological test battery, together with tests assessing physical function. RESULTS The prevalence of MCR was 9.9% (95% confidence interval 8.2-11.9). MCR was associated with decreased processing speed and executive function after adjusting for all relevant confounders. However, we found no significant association of MCR with decreased global cognition and immediate/delayed free recall of verbal memory. MCR was also associated with increased exhaustion, low muscle strength, and low physical activity, and increased levels of C-reactive protein and interleukin-6. CONCLUSIONS The present findings on MCR prevalence and associated cognitive and physical domains and inflammatory biomarkers may help to uncover altered pathways and therapeutic targets for intervention during the long preclinical phase of neurodegenerative dementia.
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Affiliation(s)
- Ilaria Bortone
- Unit of Research Methodology and Data Sciences for Population Health, "Salus in Apulia Study,", National Institute of Gastroenterology "Saverio de Bellis," Research Hospital, Castellana Grotte, Italy
| | - Chiara Griseta
- Unit of Research Methodology and Data Sciences for Population Health, "Salus in Apulia Study,", National Institute of Gastroenterology "Saverio de Bellis," Research Hospital, Castellana Grotte, Italy
| | - Petronilla Battista
- Global Brain Health Institute, University of California, San Francisco, CA, USA
| | - Fabio Castellana
- Unit of Research Methodology and Data Sciences for Population Health, "Salus in Apulia Study,", National Institute of Gastroenterology "Saverio de Bellis," Research Hospital, Castellana Grotte, Italy
| | - Luisa Lampignano
- Unit of Research Methodology and Data Sciences for Population Health, "Salus in Apulia Study,", National Institute of Gastroenterology "Saverio de Bellis," Research Hospital, Castellana Grotte, Italy
| | - Roberta Zupo
- Unit of Research Methodology and Data Sciences for Population Health, "Salus in Apulia Study,", National Institute of Gastroenterology "Saverio de Bellis," Research Hospital, Castellana Grotte, Italy
| | - Giancarlo Sborgia
- Eye Clinic, Azienda Ospedaliero Universitaria Consorziale Policlinico di Bari, Bari, Italy
| | - Madia Lozupone
- Department of Basic Medical Sciences, Neuroscience and Sense Organs, University of Bari "Aldo Moro,", Bari, Italy
| | - Biagio Moretti
- Department of Basic Medical Sciences, Neuroscience and Sense Organs, University of Bari "Aldo Moro,", Bari, Italy
| | - Gianluigi Giannelli
- National Institute of Gastroenterology "Saverio de Bellis," Research Hospital, Castellana Grotte, Italy
| | - Rodolfo Sardone
- Unit of Research Methodology and Data Sciences for Population Health, "Salus in Apulia Study,", National Institute of Gastroenterology "Saverio de Bellis," Research Hospital, Castellana Grotte, Italy
| | - Francesco Panza
- Unit of Research Methodology and Data Sciences for Population Health, "Salus in Apulia Study,", National Institute of Gastroenterology "Saverio de Bellis," Research Hospital, Castellana Grotte, Italy
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Castellana F, Lampignano L, Bortone I, Zupo R, Lozupone M, Griseta C, Daniele A, De Pergola G, Giannelli G, Sardone R, Panza F. Physical Frailty, Multimorbidity, and All-Cause Mortality in an Older Population From Southern Italy: Results from the Salus in Apulia Study. J Am Med Dir Assoc 2021; 22:598-605. [PMID: 33493467 DOI: 10.1016/j.jamda.2020.12.026] [Citation(s) in RCA: 51] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2020] [Revised: 12/11/2020] [Accepted: 12/13/2020] [Indexed: 12/25/2022]
Abstract
OBJECTIVES We first estimated the prevalence of physical frailty in older subjects from the population-based Salus in Apulia Study (Apulia, Southern Italy), and its impact on all-cause mortality. Second, we explored the relationship between multimorbidity and physical frailty. DESIGN Cross-sectional and longitudinal analyses from a population-based study. SETTING AND PARTICIPANTS We analyzed data from the Salus in Apulia study, a population-based sample of 1929 subjects aged 65 years and older. METHODS These older participants underwent clinical, physical, and laboratory assessments. Physical frailty was operationalized using slightly modified Fried criteria. Multimorbidity status was defined as the co-presence of 2 or more chronic conditions. RESULTS The overall prevalence of physical frailty in this older population from Southern Italy was 14.8% [95% confidence interval (CI): 13.26-16.49]. Physical frailty subjects were significantly older (P < .01), had a lower educational level (P < .01), increased executive dysfunction (P < .01), higher serum levels interleukin-6 (P < .01), and white blood cells (P = .01). Multimorbidity status (P < .01), diabetes mellitus (P = .05), peripheral age-related hearing loss (P < .01), cognitive impairment (P < .01), chronic obstructive pulmonary disease (P = .02), and metabolic syndrome (P = .02) were also directly related to physical frailty. Apathy increased according to the severity of physical frailty status (P = .02). There was a significant increased risk of all-cause mortality for physical frailty subjects (hazard ratio: 1.48; 95% CI: 1.03-2.12, adjusted for age and sex) during the observation from the date of enrollment to the date of death (mean ± SD: 55.70 ± 22.19 months, median: 54 months). CONCLUSIONS AND IMPLICATIONS Frailty is the consequence of the contributory action of the aging process and some chronic diseases that hasten some of the changes concurrent with aging.
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Affiliation(s)
- Fabio Castellana
- Healthy Aging Phenotypes Research Unit - "Salus in Apulia Study" - National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Bari, Italy
| | - Luisa Lampignano
- Healthy Aging Phenotypes Research Unit - "Salus in Apulia Study" - National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Bari, Italy
| | - Ilaria Bortone
- Healthy Aging Phenotypes Research Unit - "Salus in Apulia Study" - National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Bari, Italy
| | - Roberta Zupo
- Healthy Aging Phenotypes Research Unit - "Salus in Apulia Study" - National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Bari, Italy
| | - Madia Lozupone
- Neurodegenerative Disease Unit, Department of Basic Medicine, Neuroscience, and Sense Organs, University of Bari Aldo Moro, Bari, Italy
| | - Chiara Griseta
- Healthy Aging Phenotypes Research Unit - "Salus in Apulia Study" - National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Bari, Italy
| | - Antonio Daniele
- Institute of Neurology, Catholic University of Sacred Heart, Rome, Italy; Institute of Neurology, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Giovanni De Pergola
- Healthy Aging Phenotypes Research Unit - "Salus in Apulia Study" - National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Bari, Italy
| | - Gianluigi Giannelli
- Scientific Direction, National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Castellana Grotte, Bari, Italy
| | - Rodolfo Sardone
- Healthy Aging Phenotypes Research Unit - "Salus in Apulia Study" - National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Bari, Italy
| | - Francesco Panza
- Healthy Aging Phenotypes Research Unit - "Salus in Apulia Study" - National Institute of Gastroenterology "Saverio de Bellis", Research Hospital, Bari, Italy.
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Castellana F, Zupo R, Bortone I, Giannelli G, Donghia R, Lampignano L, Griseta C, De Pergola G, Boeing H, Cisternino AM, Logroscino G, Sardone R, Guerra V. Traditional Old Dietary Pattern of Castellana Grotte (Apulia) Is Associated with Healthy Outcomes. Nutrients 2020; 12:E3097. [PMID: 33053620 PMCID: PMC7600964 DOI: 10.3390/nu12103097] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2020] [Revised: 10/02/2020] [Accepted: 10/06/2020] [Indexed: 01/20/2023] Open
Abstract
BACKGROUND There is still room for further studies aimed at investigating the most widespread diets in the Mediterranean area. The objective of the study is to analyze the relation of food group intake to clinical chemical indicators of health, and also to compare the food group intake with healthy well-known diet indices. METHODS Lifestyle, dietary, and clinical data collected in 2005/2006 and 2012/2018 from Castellana Grotte, located in the rural area of Apulia, were analyzed. The study populations included newly recruited subjects at each time period (n = 1870) as well as subjects examined twice and compared over time regarding health indicators (n = 734). Diet was assessed through a validated food frequency questionnaire. Three healthy diet indices were calculated and related to 29 food groups. We also performed prospective regression of food group consumption with health indicators. RESULTS The diet over the time period of observation was very stable and consisted of a high proportion of vegetables, fruit and grains. No major changes in body mass index (BMI) and blood pressure were observed. Consumption of low-fat dairy, juices, olive oil, and water were related to reductions in weight gain, systolic blood pressure, high-density lipoprotein (HDL)-cholesterol and cholesterol (total and HDL) levels, in that order. Over the time periods we observed only a slight decrease of adherence to the Meddietscore. The correlations of the healthy diet indices with food groups revealed some differences among the indices, mostly regarding the intake of fruit and vegetables. CONCLUSIONS The dietary pattern of Apulia is in line with many principles of a healthy diet and the cohort population seems to be less liable to undergo a transition to a westernized diet.
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Affiliation(s)
- Fabio Castellana
- Population Health Unit—“Salus in Apulia Study” National Institute of Gastroenterology “Saverio de Bellis”, Research Hospital, Castellana Grotte, 70013 Bari, Italy; (R.Z.); (I.B.); (L.L.); (C.G.); (H.B.); (R.S.)
| | - Roberta Zupo
- Population Health Unit—“Salus in Apulia Study” National Institute of Gastroenterology “Saverio de Bellis”, Research Hospital, Castellana Grotte, 70013 Bari, Italy; (R.Z.); (I.B.); (L.L.); (C.G.); (H.B.); (R.S.)
| | - Ilaria Bortone
- Population Health Unit—“Salus in Apulia Study” National Institute of Gastroenterology “Saverio de Bellis”, Research Hospital, Castellana Grotte, 70013 Bari, Italy; (R.Z.); (I.B.); (L.L.); (C.G.); (H.B.); (R.S.)
| | - Gianluigi Giannelli
- Scientific Direction, National Institute of Gastroenterology “Saverio de Bellis”, Research Hospital, Castellana Grotte, 70013 Bari, Italy;
| | - Rossella Donghia
- Unit of Epidemiology and Biostatistics, National Institute of Gastroenterology “Saverio de Bellis”, Research Hospital, Castellana Grotte, 70013 Bari, Italy; (R.D.); (V.G.)
| | - Luisa Lampignano
- Population Health Unit—“Salus in Apulia Study” National Institute of Gastroenterology “Saverio de Bellis”, Research Hospital, Castellana Grotte, 70013 Bari, Italy; (R.Z.); (I.B.); (L.L.); (C.G.); (H.B.); (R.S.)
| | - Chiara Griseta
- Population Health Unit—“Salus in Apulia Study” National Institute of Gastroenterology “Saverio de Bellis”, Research Hospital, Castellana Grotte, 70013 Bari, Italy; (R.Z.); (I.B.); (L.L.); (C.G.); (H.B.); (R.S.)
| | - Giovanni De Pergola
- Clinical Nutrition Unit, Department of Biomedical Science and Human Oncology, School of Medicine, University of Bari, Policlinico, 70124 Bari, Italy;
| | - Heiner Boeing
- Population Health Unit—“Salus in Apulia Study” National Institute of Gastroenterology “Saverio de Bellis”, Research Hospital, Castellana Grotte, 70013 Bari, Italy; (R.Z.); (I.B.); (L.L.); (C.G.); (H.B.); (R.S.)
- German Institute of Human Nutrition Potsdam-Rehbrücke, 14558 Nuthetal, Germany
| | - Anna Maria Cisternino
- Clinical Nutrition Unit, National Institute of Gastroenterology “Saverio de Bellis”, Research Hospital, Castellana Grotte, 70013 Bari, Italy;
| | - Giancarlo Logroscino
- Center for Neurodegenerative Diseases and the Aging Brain, Department of Clinical Research in Neurology, University of Bari Aldo Moro, 70121 Bari, Italy;
| | - Rodolfo Sardone
- Population Health Unit—“Salus in Apulia Study” National Institute of Gastroenterology “Saverio de Bellis”, Research Hospital, Castellana Grotte, 70013 Bari, Italy; (R.Z.); (I.B.); (L.L.); (C.G.); (H.B.); (R.S.)
| | - Vito Guerra
- Unit of Epidemiology and Biostatistics, National Institute of Gastroenterology “Saverio de Bellis”, Research Hospital, Castellana Grotte, 70013 Bari, Italy; (R.D.); (V.G.)
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