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Bally ELS, Korenhof SA, Ye L, van Grieken A, Tan SS, Mattace-Raso F, Procaccini E, Alhambra-Borrás T, Raat H. Factors associated with health-related quality of life among community-dwelling older adults: the APPCARE study. Sci Rep 2024; 14:14351. [PMID: 38906882 PMCID: PMC11192871 DOI: 10.1038/s41598-024-64539-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Accepted: 06/10/2024] [Indexed: 06/23/2024] Open
Abstract
This study aimed to identify the factors associated with health-related quality of life (HRQOL) among community-dwelling older adults. Physical and mental HRQOL were measured by the 12-item Short Form Health Survey (SF-12) at baseline and follow-up. Linear regression models were used to evaluate associations between socio-demographic, health, and lifestyle factors and HRQOL. The sample included 661 participants (mean age = 77.4 years). Frailty was negatively associated with physical HRQOL (B = - 5.56; P < 0.001) and mental HRQOL (B = - 6.65; P < 0.001). Participants with a higher score on activities of daily living (ADL) limitations had lower physical HRQOL (B = - 0.63; P < 0.001) and mental HRQOL (B = - 0.18; P = 0.001). Female sex (B = - 2.38; P < 0.001), multi-morbidity (B = - 2.59; P = 0.001), and a high risk of medication-related problems (B = - 2.84; P < 0.001) were associated with lower physical HRQOL, and loneliness (B = - 3.64; P < 0.001) with lower mental HRQOL. In contrast, higher age (B = 2.07; P = 0.011) and living alone (B = 3.43; P < 0.001) were associated with better mental HRQOL in the multivariate models. Future interventions could be tailored to subpopulations with relatively poor self-reported HRQOL, such as frail or lonely older adults to improve their HRQOL.
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Affiliation(s)
- Esmée L S Bally
- Department of Public Health, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Sophie A Korenhof
- Department of Public Health, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Lizhen Ye
- Department of Public Health, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Amy van Grieken
- Department of Public Health, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Siok Swan Tan
- Research Group City Dynamics, InHolland University of Applied Sciences, Rotterdam, The Netherlands
| | - Francesco Mattace-Raso
- Division of Geriatric Medicine, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Elena Procaccini
- Funded Project Office, Local Health Authority n.2 Treviso, Treviso, Italy
| | | | - Hein Raat
- Department of Public Health, Erasmus MC University Medical Center, Rotterdam, The Netherlands.
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Kiełtyka-Słowik A, Michalik-Marcinkowska U, Zawadzka B. The association between physical activity and quality of life among people aged 60-89 living in own homes and nursing homes. BMC Geriatr 2024; 24:280. [PMID: 38521918 PMCID: PMC10960434 DOI: 10.1186/s12877-024-04898-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Accepted: 03/16/2024] [Indexed: 03/25/2024] Open
Abstract
BACKGROUND The aim of the study was to obtain a response to the question of whether and how physical activity (PA) among people aged 60-89 years impacts quality of life and other sociodemographic characteristics (sex, age and place of living). METHODS Among 341 respondents aged 60 to 89, including 273 women (80%) and 68 men (20%) successfully completed IPAQ and WHOQOL AGE questionnaires. In the study were used International Physical Activity Questionnaire - IPAQ and World Health Organization Quality Of Life - Age - WHOQOL-AGE in Polish version. RESULTS The average total physical activity, including vigorous-intensity physical effort, moderate-intensity physical effort and walking amounts to 1381.87 ± 1978.60 MET-min/week. The average quality of life for the whole group of older people as evaluated with WHOQOL AGE scale was 64.79 (SD = 14.76; min:18.77-max: 98.07). Statistical analysis between physical activity and life quality proved significant dependence for the global life quality rating (p < 0.001). CONCLUSIONS Our research has shown that PA improves quality of life among older people. Higher scores of quality of life were obtained in the F1 subscale (satisfaction) than in the F2 subscale (meeting expectations) in both age groups. Age significantly affects quality of life for older people.
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Affiliation(s)
- Aleksandra Kiełtyka-Słowik
- Department of Health Promotion, Institute of Basic Sciences, University of Physical Education in Cracow, Cracow, Poland.
| | | | - Bożena Zawadzka
- Faculty of Pedagogy and Psychology, Institute of Pedagogy, Jan Kochanowski University of Kielce, Kielce, Poland
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Chow BC, Jiao J, Duong TV, Hassel H, Kwok TCY, Nguyen MH, Liu H. Health literacy mediates the relationships of cognitive and physical functions with health-related quality of life in older adults. Front Public Health 2024; 12:1355392. [PMID: 38550320 PMCID: PMC10976439 DOI: 10.3389/fpubh.2024.1355392] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Accepted: 02/16/2024] [Indexed: 04/02/2024] Open
Abstract
Background Declining cognitive function (CF) and physical function (PF) relate to poorer health-related quality of life (HRQoL) in older adults. As health literacy (HL) facilitates health information utilization, it may mediate links between functionality and HRQoL appraisals. This study examined HL as an intermediary between joint CF and PF contributions and HRQoL in Hong Kong older adults. Methods 490 older adults aged 50-80 years completed assessments from March to July 2021. Health Literacy Survey Questionnaire Short Form 12 questions (HLS-SF12), Montreal Cognitive Assessment (MoCA), Senior Fitness Test (SFT) and 12-Item Short-Form Health Survey version 2 (SF-12v2) were used to assess HL, CF, PF and HRQoL, respectively. Path analysis tested a model with HL mediating CF/PF predictors and HRQoL outcome. Results Results for direct effects indicated that CF significantly associated with PF (β = 0.115, SE = 0.012, p < 0.001), PF significantly connected to HL (β = 0.101, SE = 0.022, p < 0.001), and HL significantly related to HRQoL (β = 0.457, SE = 0.049, p < 0.001). Meanwhile, PF significantly linked to HRQoL directly (β = 0.156, SE = 0.025, p < 0.001) as well as indirectly (β = 0.046, 95% CI [0.028, 0.067]). Significant mediating effect of HL was found on the relationship of PF and HRQoL. Conclusion Findings confirm CF and PF joint impacts on HL and HRQoL in older adults, elucidating HL's mediating role in translating functionality levels into HRQoL. Fostering enduring health knowledge access may thus buffer effects of age-related declines on well-being. Results can inform interventions leveraging this pathway to promote resilient trajectories.
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Affiliation(s)
- Bik C. Chow
- Department of Sport, Physical Education and Health, Hong Kong Baptist University, Kowloon Tong, Hong Kong SAR, China
- Dr. Stephen Hui Research Centre for Physical Recreation and Wellness, Hong Kong Baptist University, Kowloon Tong, Hong Kong SAR, China
| | - Jiao Jiao
- Department of Sport, Physical Education and Health, Hong Kong Baptist University, Kowloon Tong, Hong Kong SAR, China
- Dr. Stephen Hui Research Centre for Physical Recreation and Wellness, Hong Kong Baptist University, Kowloon Tong, Hong Kong SAR, China
| | - Tuyen V. Duong
- School of Nutrition and Health Sciences, Taipei Medical University, Taipei, Taiwan
- International PhD Program in Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Holger Hassel
- Institute for Applied Health Sciences, Coburg University of Applied Sciences and Arts, Coburg, Germany
- Berlin Institute for Health and Social Affairs, Berlin, Germany
| | - Timothy C. Y. Kwok
- Department of Medicine & Therapeutic and School of Public Health, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Minh H. Nguyen
- International PhD Program in Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
- School of Preventive Medicine and Public Health, Hanoi Medical University, Hanoi, Vietnam
| | - Huaxuan Liu
- School of Physical Education and Sport Science, Fujian Normal University, Fuzhou, Fujian, China
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Yaribeygi H, Hemmati MA, Nasimi F, Pakdel R, Jamialahmadi T, Sahebkar A. Empagliflozin alleviates diabetes-induced cognitive impairments by lowering nicotinamide adenine dinucleotide phosphate oxidase-4 expression and potentiating the antioxidant defense system in brain tissue of diabetic rats. Behav Brain Res 2024; 460:114830. [PMID: 38141785 DOI: 10.1016/j.bbr.2023.114830] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Revised: 12/17/2023] [Accepted: 12/19/2023] [Indexed: 12/25/2023]
Abstract
BACKGROUND Diabetes-induced cognitive impairment is a major challenge in patients with uncontrolled diabetes mellitus. It has a complicated pathophysiology, but the role of oxidative stress is central. Therefore, the use of antidiabetic drugs with extra-glycemic effects that reduce oxidative damage may be a promising treatment option. METHODS Male Wistar rats were randomly divided into four groups as normal, normal treated, diabetic and diabetic treated (n = 8 per group). Type 1 diabetes was induced by a single intraperitoneal dose of streptozotocin (STZ) (40 mg/kg). Two treatment groups received empagliflozin for 5 weeks (20 mg/kg/po). Cognitive ability was evaluated using open field, Elevated Plus Maze (EPM) and the Morris Water Maze (MWM) tests at study completion. Blood and brain tissue samples were collected - and analysis for malondialdehyde (MDA) and glutathione (GLT) content and catalase (CAT) and superoxide dismutase (SOD) enzyme activity were performed. Additionally, expression of nicotinamide adenine dinucleotide phosphate oxidase-4 (Nox-4) enzyme in brain tissue was analyzed using RT-PCR. RESULTS STZ increased blood glucose and induced diabetes with oxidative stress by lowering the antioxidant system potency and increasing Nox-4 expression after 5-weeks in brain tissue accompanied by reduction in cognitive performance. Also, diabetes induced anxiety-like behavior and impaired spatial memory in MWM, EPM and open field tests. However, empagliflozin reversed these changes, improving SOD and CAT activity, GLT content and reducing Nox-4 expression and MDA concentration in brain tissue while improving cognitive ability. It reduced anxiety and depression-related activities. It also improved spatial memory in MWM test. CONCLUSION Uncontrolled diabetes negatively impacts mental function and impairs learning and cognitive performance via oxidative stress induction, the Nox-4 enzyme playing a central role. Empagliflozin reverses these effects, improving cognitive ability via promoting the anti-oxidative system and damping Nox-4 free radical generator enzyme expression. Therefore, empagliflozin is a promising treatment, providing both antidiabetic and extra-glycemic benefits for improving brain function in the diabetic milieu.
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Affiliation(s)
- Habib Yaribeygi
- Research Center of Physiology, Semnan University of Medical Sciences, Semnan, Iran.
| | | | - Fatemeh Nasimi
- Research Center of Physiology, Semnan University of Medical Sciences, Semnan, Iran
| | - Roghayeh Pakdel
- Research Center of Physiology, Semnan University of Medical Sciences, Semnan, Iran
| | - Tannaz Jamialahmadi
- Medical Toxicology Research Center, Mashhad University of Medical Sciences, Mashhad, Iran; International UNESCO Center for Health-Related Basic Sciences and Human Nutrition, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Amirhossein Sahebkar
- Biotechnology Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad, Iran; Applied Biomedical Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
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Aakvik KAD, Benum SD, Tikanmäki M, Hovi P, Räikkönen K, Harris SL, Woodward LJ, Darlow BA, Indredavik MS, Lydersen S, Mork PJ, Kajantie E, Evensen KAI. Physical activity and cognitive function in adults born very preterm or with very low birth weight-an individual participant data meta-analysis. PLoS One 2024; 19:e0298311. [PMID: 38349926 PMCID: PMC10863878 DOI: 10.1371/journal.pone.0298311] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Accepted: 12/30/2023] [Indexed: 02/15/2024] Open
Abstract
OBJECTIVE Individuals born very preterm (<32 weeks of gestation) or with very low birthweight (<1500g) have lower cognitive function compared with term-born peers. Furthermore, some studies suggest that they are less physically active as young adults than controls, but the relationship between physical activity and cognitive function remains unclear. We performed an individual participant data meta-analysis to examine whether being born preterm/with very low birth weight is associated with physical activity in adulthood and examined if cognitive function mediates this association. STUDY DESIGN Cohorts with data on physical activity and cognitive function in adults born very preterm/very low birth weight and term-born controls were recruited from the Research on European Children and Adults Born Preterm, and the Adults Born Preterm International Collaboration Consortia. A systematic literature search was performed in PubMed and Embase. RESULTS Five cohorts with 1644 participants aged 22-28 years (595 very preterm/very low birth weight and 1049 controls) were included. Adults born very preterm/very low birth weight reported 1.11 (95% CI: 0.68 to 1.54) hours less moderate to vigorous physical activity per week than controls, adjusted for cohort, age and sex. The difference between individuals born very preterm/very low birth weight and controls was larger among women than among men. Neither intelligence quotient nor self-reported executive function mediated the association between very preterm/very low birth weight and moderate to vigorous physical activity. Results were essentially the same when we excluded individuals with neurosensory impairments. CONCLUSION Adults born very preterm/very low birth weight, especially women, reported less moderate to vigorous physical activity than their term-born peers. Cognitive function did not mediate this association. Considering the risk of adverse health outcomes among individuals born preterm, physical activity could be a target for intervention.
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Affiliation(s)
- Kristina Anna Djupvik Aakvik
- Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway
| | - Silje Dahl Benum
- Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway
| | - Marjaana Tikanmäki
- Clinical Medicine Research Unit, Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland
- Public Health Unit, Finnish Institute for Health and Welfare, Helsinki/Oulu, Finland
| | - Petteri Hovi
- Public Health Unit, Finnish Institute for Health and Welfare, Helsinki/Oulu, Finland
- Children’s Hospital, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Katri Räikkönen
- Department of Psychology and Logopedics, University of Helsinki, Helsinki, Finland
| | - Sarah L. Harris
- Department of Paediatrics, University of Otago Christchurch, Christchurch, New Zealand
| | - Lianne J. Woodward
- School of Health Sciences, University of Canterbury, Christchurch, New Zealand
| | - Brian A. Darlow
- Department of Paediatrics, University of Otago Christchurch, Christchurch, New Zealand
| | - Marit S. Indredavik
- Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway
| | - Stian Lydersen
- Department of Mental Health, Norwegian University of Science and Technology, Trondheim, Norway
| | - Paul Jarle Mork
- Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway
| | - Eero Kajantie
- Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway
- Clinical Medicine Research Unit, Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland
- Public Health Unit, Finnish Institute for Health and Welfare, Helsinki/Oulu, Finland
- Children’s Hospital, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Kari Anne I. Evensen
- Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Physiotherapy, Oslo Metropolitan University, Oslo, Norway
- Unit for Physiotherapy Services, Trondheim Municipality, Trondheim, Norway
- Children’s Clinic, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
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Bidzan L, Jurek P, Olech M, Bidzan-Wiącek M, Bidzan-Bluma I, Bidzan M. Somatic comorbidity and the progression of cognitive impairment. Front Aging Neurosci 2023; 15:1219449. [PMID: 38046465 PMCID: PMC10691469 DOI: 10.3389/fnagi.2023.1219449] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Accepted: 11/02/2023] [Indexed: 12/05/2023] Open
Abstract
Background There are usually multiple factors underlying dementia in old age. Somatic comorbidity is one important element that influences the progression of cognitive impairment. Objective The goal of this study was to assess the relationship between the progression of cognitive impairment and the presence and severity of comorbidities based on a four-year observation. Material Out of 128 patients from the Clinic for Outpatients in Gdansk, who were recruited into the study based on the criteria of the Working Group on Mild Cognitive Impairment, a total of 93 participants completed the four-year observation. Only the data from participants who completed the full period of observations were analysed. The mean age of the group was M = 75.93 (SD = 9.43). The level of progression of cognitive impairment was measured using the Clinical Dementia Rating Scale - Sum of Boxes, the severity of comorbidities was measured using the modified Cumulative Illness Rating Scale, and, additionally, at the time of inclusion in the study, participants were assessed using the MMSE scale and the Activity Scale, and sociodemographic data were collected. The Generalized Estimating Equations method was employed to fit a marginal model for analyzing the data collected in a repeated measures design. The tested model elucidated the role of the overall severity of comorbidities in explaining the progression of cognitive impairment, while controlling for everyday activity and basic demographic variables. Results During the four-year observation, a significant decline in cognitive function (B = 1.86, p < 0.01) was observed in the examined sample. The statistical analysis revealed that individuals with higher overall severity of comorbidities exhibited significantly more pronounced progression of cognitive impairment over time. Regarding particular comorbidities, metabolic diseases were found to be associated with a poorer prognosis (rho = 0.41, p < 0.05). Furthermore, a time physical activity interaction was identified as predicting cognitive impairment, indicating that individuals who were more physically active at the beginning of the study exhibited significantly less pronounced progression of cognitive impairment over the course of the 4 years. Conclusion This study suggests the important roles of comorbidities and physical activity for the prognosis of mild cognitive impairment.
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Affiliation(s)
- Leszek Bidzan
- Faculty of Medicine, Medical University of Gdańsk, Gdańsk, Poland
- Department of Health Sciences, Pomeranian University in Słupsk, Słupsk, Poland
| | - Paweł Jurek
- Institute of Psychology, University of Gdańsk, Gdańsk, Poland
| | - Michał Olech
- Faculty of Health Sciences, Medical University of Gdańsk, Gdańsk, Poland
| | | | - Ilona Bidzan-Bluma
- Institute of Psychology, University of Gdańsk, Gdańsk, Poland
- Institute of Pedagogy and Languages, University of Applied Sciences in Elbląg, Elbląg, Poland
| | - Mariola Bidzan
- Institute of Psychology, University of Gdańsk, Gdańsk, Poland
- Institute of Pedagogy and Languages, University of Applied Sciences in Elbląg, Elbląg, Poland
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Hao L, Fan Y, Zhang X, Rong X, Sun Y, Liu K. Functional physical training improves fitness and cognitive development in 4~5 years old children. Front Psychol 2023; 14:1266216. [PMID: 38034291 PMCID: PMC10684932 DOI: 10.3389/fpsyg.2023.1266216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Accepted: 10/23/2023] [Indexed: 12/02/2023] Open
Abstract
Background Development of physical and cognitive function is very critical in 4~5 years children. It has been addressed in this research if the 18 weeks of specific functional training with or without cognitive training can be effective on improving fitness and cognitive development in 4~5 years preschool children. Methods A total of 126 preschool children in the 4~5 age range were selected as participants and randomly assigned to one of four groups: the control group (C), the functional physical training group (P), the cognitive training group (CT), and the functional physical training combined with cognitive training group (PCT). Results The results revealed significant pre/post differences in body height and weight among all four groups of children. Furthermore, there was no significant difference in physical fitness between the C group and the CT group after the intervention. However, the children in the P group and the PCT group showed significant improvements in three indicators including standing long jump, continuous jump, and 10-meter shuttle running. Additionally, the children in P group, CT group, and the PCT group demonstrated significant improvement in simple reaction time, attention, and spatial memory. No significant cognitive improvement was found in C group. Conclusion Functional physical training with or without cognitive intervention can promote both physical fitness and cognitive development in children aged 4~5 years. Cognitive training alone can significantly improve cognitive function but not physical. Therefore, functional physical training can be used alone to improve the physical and cognitive abilities for aged 4~5 years old children.
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Affiliation(s)
- Lei Hao
- College of Physical Education and Health, East China Normal University, Shanghai, China
| | - Yongzhao Fan
- Department of Physical Education, Henan Normal University, Xinxiang, Henan, China
| | - Xiaojuan Zhang
- Graduate School, Capital University of Physical Education and Sports, Beijing, China
| | - Xiangjiang Rong
- Graduate School, Capital University of Physical Education and Sports, Beijing, China
| | - Youping Sun
- College of Physical Education and Health, East China Normal University, Shanghai, China
| | - Kun Liu
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, United States
- Brain Peace Science Foundation, New Haven, CT, United States
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Pinto-Hernandez P, Castilla-Silgado J, Coto-Vilcapoma A, Fernández-Sanjurjo M, Fernández-García B, Tomás-Zapico C, Iglesias-Gutiérrez E. Modulation of microRNAs through Lifestyle Changes in Alzheimer's Disease. Nutrients 2023; 15:3688. [PMID: 37686720 PMCID: PMC10490103 DOI: 10.3390/nu15173688] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 08/16/2023] [Accepted: 08/18/2023] [Indexed: 09/10/2023] Open
Abstract
Lifestyle factors, including diet and physical activity (PA), are known beneficial strategies to prevent and delay Alzheimer's disease (AD) development. Recently, microRNAs have emerged as potential biomarkers in multiple diseases, including AD. The aim of this review was to analyze the available information on the modulatory effect of lifestyle on microRNA expression in AD. Few studies have addressed this question, leaving important gaps and limitations: (1) in human studies, only circulating microRNAs were analyzed; (2) in mice studies, microRNA expression was only analyzed in brain tissue; (3) a limited number of microRNAs was analyzed; (4) no human nutritional intervention studies were conducted; and (5) PA interventions in humans and mice were poorly detailed and only included aerobic training. Despite this, some conclusions could be drawn. Circulating levels of let-7g-5p, miR-107, and miR-144-3p were associated with overall diet quality in mild cognitive impairment patients. In silico analysis showed that these microRNAs are implicated in synapse formation, microglia activation, amyloid beta accumulation, and pro-inflammatory pathways, the latter also being targeted by miR-129-5p and miR-192-5p, whose circulating levels are modified by PA in AD patients. PA also modifies miR-132, miR-15b-5p, miR-148b-3p, and miR-130a-5p expression in mice brains, which targets are related to the regulation of neuronal activity, ageing, and pro-inflammatory pathways. This supports the need to further explore lifestyle-related miRNA changes in AD, both as biomarkers and therapeutic targets.
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Affiliation(s)
- Paola Pinto-Hernandez
- Department of Functional Biology, Physiology, University of Oviedo, 33006 Asturias, Spain; (P.P.-H.); (J.C.-S.); (A.C.-V.); (M.F.-S.); (C.T.-Z.)
- Health Research Institute of the Principality of Asturias (ISPA), 33011 Asturias, Spain;
| | - Juan Castilla-Silgado
- Department of Functional Biology, Physiology, University of Oviedo, 33006 Asturias, Spain; (P.P.-H.); (J.C.-S.); (A.C.-V.); (M.F.-S.); (C.T.-Z.)
- Health Research Institute of the Principality of Asturias (ISPA), 33011 Asturias, Spain;
| | - Almudena Coto-Vilcapoma
- Department of Functional Biology, Physiology, University of Oviedo, 33006 Asturias, Spain; (P.P.-H.); (J.C.-S.); (A.C.-V.); (M.F.-S.); (C.T.-Z.)
- Health Research Institute of the Principality of Asturias (ISPA), 33011 Asturias, Spain;
| | - Manuel Fernández-Sanjurjo
- Department of Functional Biology, Physiology, University of Oviedo, 33006 Asturias, Spain; (P.P.-H.); (J.C.-S.); (A.C.-V.); (M.F.-S.); (C.T.-Z.)
- Health Research Institute of the Principality of Asturias (ISPA), 33011 Asturias, Spain;
| | - Benjamín Fernández-García
- Health Research Institute of the Principality of Asturias (ISPA), 33011 Asturias, Spain;
- Department of Morphology and Cell Biology, Anatomy, University of Oviedo, 33006 Asturias, Spain
| | - Cristina Tomás-Zapico
- Department of Functional Biology, Physiology, University of Oviedo, 33006 Asturias, Spain; (P.P.-H.); (J.C.-S.); (A.C.-V.); (M.F.-S.); (C.T.-Z.)
- Health Research Institute of the Principality of Asturias (ISPA), 33011 Asturias, Spain;
| | - Eduardo Iglesias-Gutiérrez
- Department of Functional Biology, Physiology, University of Oviedo, 33006 Asturias, Spain; (P.P.-H.); (J.C.-S.); (A.C.-V.); (M.F.-S.); (C.T.-Z.)
- Health Research Institute of the Principality of Asturias (ISPA), 33011 Asturias, Spain;
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Llaurador-Coll M, Rios S, García-Gavilán JF, Babio N, Vilella E, Salas-Salvadó J. Plasma levels of neurology-related proteins are associated with cognitive performance in an older population with overweight/obesity and metabolic syndrome. GeroScience 2023; 45:2457-2470. [PMID: 36964401 PMCID: PMC10651568 DOI: 10.1007/s11357-023-00764-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Accepted: 01/17/2023] [Indexed: 03/26/2023] Open
Abstract
Cognitive impairment is present in a broad spectrum of medical conditions and in aging. Here, we aimed to identify plasma proteins related to cognitive function in a sample of older adults with overweight/obesity and metabolic syndrome. A total of 129 subjects (mean age 64.7 years; 36% females) were grouped according to low (l-GCF, N=65) or high (h-GCF, N=64) global cognitive function and matched according to education, sex, age, and body mass index. Cognitive performance was assessed using neuropsychological tests. Plasma levels of 92 neurology-related proteins were assessed using a proximity extension assay. An elastic net regression analysis was used to identify proteins more associated with cognitive performance. Additionally, the protein expression levels were compared between the two groups by means of a t-test with false discovery rate correction. Pearson correlations were used to assess associations between the protein levels and scores from the neurocognitive tests. Six proteins (alpha-2-MRAP, HAGH, Siglec-9, MDGA1, IL12, and EDA2R) were identified as potential contributors to cognitive performance, remaining significantly increased in l-GCF compared to h-GCF participants after correction for multiple testing. Negative correlations (r= -0.23 to -0.18, i.e., lower protein levels, higher cognitive function) were found between global cognitive function and Siglec-9, NMNAT1, HAGH, LXN, gal-8, alpha-2-MRAP, IL12, PDGF-R-alpha, NAAA, EDA2R, CLEC1B, and LAT. Mini-mental state examination z scores showed the strongest correlations with protein levels, specifically negative correlations with CLEC1b, LXN, LAT, PLXNB3, NMNAT1, gal-8, HAGH, NAAA, CTSS, EZR, KYNU, MANF (r=-0.38 to -0.26) and a positive correlation with ADAM23 (r= 0.26). In summary, we identified several plasma proteins that were significantly associated with cognitive performance in older adults with obesity and metabolic syndrome, although further research is needed to replicate the results in larger samples and to include a predictive perspective.
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Affiliation(s)
- Martí Llaurador-Coll
- Universitat Rovira i Virgili, Departament de Medicina i Cirurgia, Reus, Spain
- Hospital Universitari Institut Pere Mata, Reus, Spain
- Institut d'Investigació Sanitària Pere Virgili-CERCA, Reus, Spain
| | - Santiago Rios
- Institut d'Investigació Sanitària Pere Virgili-CERCA, Reus, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentació, Nutrició, Desenvolupament i Salut Mental ANUT-DSM, Reus, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
| | - Jesus F García-Gavilán
- Institut d'Investigació Sanitària Pere Virgili-CERCA, Reus, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentació, Nutrició, Desenvolupament i Salut Mental ANUT-DSM, Reus, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
| | - Nancy Babio
- Institut d'Investigació Sanitària Pere Virgili-CERCA, Reus, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentació, Nutrició, Desenvolupament i Salut Mental ANUT-DSM, Reus, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain
| | - Elisabet Vilella
- Universitat Rovira i Virgili, Departament de Medicina i Cirurgia, Reus, Spain.
- Hospital Universitari Institut Pere Mata, Reus, Spain.
- Institut d'Investigació Sanitària Pere Virgili-CERCA, Reus, Spain.
- Centro de Investigación Biomédica en Red de Salud Mental, Instituto de Salud Carlos III, Madrid, Spain.
| | - Jordi Salas-Salvadó
- Institut d'Investigació Sanitària Pere Virgili-CERCA, Reus, Spain.
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Alimentació, Nutrició, Desenvolupament i Salut Mental ANUT-DSM, Reus, Spain.
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain.
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10
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Psarrou A, Adamakidou T, Apostolara P, Koreli A, Drakopoulou M, Plakas S, Mastrogiannis D, Mantoudi A, Parissopoulos S, Zartaloudi A, Mantzorou M. Associations between Physical Activity and Health-Related Quality of Life among Community-Dwelling Older Adults: A Cross-Sectional Study in Urban Greece. Geriatrics (Basel) 2023; 8:61. [PMID: 37367093 DOI: 10.3390/geriatrics8030061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Revised: 05/25/2023] [Accepted: 05/30/2023] [Indexed: 06/28/2023] Open
Abstract
Physical activity is an important factor in achieving healthy aging, offering older persons multiple benefits in terms of maintaining and improving their health and wellbeing. The aim of this study was to investigate the effect of physical activity on the quality of life of older adults. A cross-sectional study was conducted from February to May 2022, using the Short-Form Health Survey (SF-36) and the International Physical Activity Questionnaire (IPAQ). A total of 124 people aged 65 and over participated in the survey. The average age of the participants was 71.6 years, and 62.1% were women. Participants showed a moderate quality of life with regard to the physical health dimension (mean score 52.4) and a higher quality of life with regard to the mental health dimension (mean score 63.1) compared to the expected values of the population. Low levels of physical activity were recorded among older adults, reaching a rate of 83.9%. A moderate or high level of physical activity has been found to contribute to a better physical functioning (p = 0.03), vitality (p = 0.02) and general health (p = 0.01). Finally, comorbidity had a negative impact on physical activity (p = 0.03) and quality of life regarding mental and physical health in older adults. The study showed very low levels of physical activity in older Greek adults. The management of this problem, which was intensified during the COVID-19 pandemic, should be a high priority in public health programs focusing on healthy aging, as physical activity affects and promotes many of the basic aspects of quality of life.
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Affiliation(s)
- Anna Psarrou
- MSc Program in Community and Public Health Nursing, Nursing Department, School of Health and Care Sciences, University of West Attica, 12243 Athens, Greece
| | - Theodoula Adamakidou
- MSc Program in Community and Public Health Nursing, Nursing Department, School of Health and Care Sciences, University of West Attica, 12243 Athens, Greece
| | - Paraskevi Apostolara
- MSc Program in Community and Public Health Nursing, Nursing Department, School of Health and Care Sciences, University of West Attica, 12243 Athens, Greece
| | - Alexandra Koreli
- MSc Program in Community and Public Health Nursing, Nursing Department, School of Health and Care Sciences, University of West Attica, 12243 Athens, Greece
| | - Marianna Drakopoulou
- MSc Program in Community and Public Health Nursing, Nursing Department, School of Health and Care Sciences, University of West Attica, 12243 Athens, Greece
| | - Sotirios Plakas
- MSc Program in Community and Public Health Nursing, Nursing Department, School of Health and Care Sciences, University of West Attica, 12243 Athens, Greece
| | - Dimos Mastrogiannis
- MSc Program in Community and Public Health Nursing, Nursing Department, School of Health and Care Sciences, University of West Attica, 12243 Athens, Greece
| | - Alexandra Mantoudi
- MSc Program in Community and Public Health Nursing, Nursing Department, School of Health and Care Sciences, University of West Attica, 12243 Athens, Greece
| | - Stelios Parissopoulos
- MSc Program in Community and Public Health Nursing, Nursing Department, School of Health and Care Sciences, University of West Attica, 12243 Athens, Greece
| | - Afroditi Zartaloudi
- MSc Program in Community and Public Health Nursing, Nursing Department, School of Health and Care Sciences, University of West Attica, 12243 Athens, Greece
| | - Marianna Mantzorou
- MSc Program in Community and Public Health Nursing, Nursing Department, School of Health and Care Sciences, University of West Attica, 12243 Athens, Greece
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11
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Bacanoiu MV, Danoiu M, Rusu L, Marin MI. New Directions to Approach Oxidative Stress Related to Physical Activity and Nutraceuticals in Normal Aging and Neurodegenerative Aging. Antioxidants (Basel) 2023; 12:antiox12051008. [PMID: 37237873 DOI: 10.3390/antiox12051008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Revised: 04/14/2023] [Accepted: 04/18/2023] [Indexed: 05/28/2023] Open
Abstract
Oxidative stress (OS) plays, perhaps, the most important role in the advanced aging process, cognitive impairment and pathogenesis of neurodegenerative disorders. The process generates tissue damage via specific mechanisms on proteins, lipids and nucleic acids of the cells. An imbalance between the excessive production of oxygen- and nitrogen-reactive species and antioxidants leads to a progressive decline in physiological, biological and cognitive functions. Accordingly, we need to design and develop favourable strategies for stopping the early aging process as well as the development of neurodegenerative diseases. Exercise training and natural or artificial nutraceutical intake are considered therapeutic interventions that reduce the inflammatory process, increase antioxidant capacities and promote healthy aging by decreasing the amount of reactive oxygen species (ROS). The aim of our review is to present research results in the field of oxidative stress related to physical activity and nutraceutical administration for the improvement of the aging process, but also related to reducing the neurodegeneration process based on analysing the beneficial effects of several antioxidants, such as physical activity, artificial and natural nutraceuticals, as well as the tools by which they are evaluated. In this paper, we assess the recent findings in the field of oxidative stress by analysing intervention antioxidants, anti-inflammatory markers and physical activity in healthy older adults and the elderly population with dementia and Parkinson's disease. By searching for studies from the last few years, we observed new trends for approaching the reduction in redox potential using different tools that evaluate regular physical activity, as well as antioxidant and anti-inflammatory markers preventing premature aging and the progress of disabilities in neurodegenerative diseases. The results of our review show that regular physical activity, supplemented with vitamins and oligomolecules, results in a decrease in IL-6 and an increase in IL-10, and has an influence on the oxidative metabolism capacity. In conclusion, physical activity provides an antioxidant-protective effect by decreasing free radicals and proinflammatory markers.
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Affiliation(s)
- Manuela Violeta Bacanoiu
- Sport Medicine and Physical Therapy Department, Faculty of Physical Education and Sport, University of Craiova, 200585 Craiova, Romania
| | - Mircea Danoiu
- Sport Medicine and Physical Therapy Department, Faculty of Physical Education and Sport, University of Craiova, 200585 Craiova, Romania
| | - Ligia Rusu
- Sport Medicine and Physical Therapy Department, Faculty of Physical Education and Sport, University of Craiova, 200585 Craiova, Romania
| | - Mihnea Ion Marin
- Faculty of Mechanics, University of Craiova, 200585 Craiova, Romania
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12
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Cognitive Function, and Its Relationships with Comorbidities, Physical Activity, and Muscular Strength in Korean Older Adults. Behav Sci (Basel) 2023; 13:bs13030212. [PMID: 36975236 PMCID: PMC10045882 DOI: 10.3390/bs13030212] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Revised: 02/25/2023] [Accepted: 02/28/2023] [Indexed: 03/06/2023] Open
Abstract
Background: Little is known regarding how much physical activity (PA) and lower-body muscle strength (LBMS) together can help to reduce the negative effect of comorbidities on cognitive function. This study examined the moderating effects of PA and LBMS in determining the relationship between comorbidities and cognitive function in older Korean adults. Materials and Methods: This is a population-based cross-sectional study. Data for this study were taken from the 2020 Korea Longitudinal Study on Aging (KLoSA) in South Korea using a computer-assisted personal interview. The 2020 KLoSA survey included a total of 10,097 older individuals aged 65 and older (6062 females and 4035 men). Comorbidities were determined based on physician-diagnosed chronic conditions. PA and LBMS were measured with a self-reported questionnaire and a sit-to-stand test, respectively. Cognitive function was assessed using the Korean version of the Mini-Mental Status Examination for dementia screening. Results: Multimorbidity was correlated with an increased risk (odds ratio, OR = 1.415, p < 0.001) of cognitive impairment. Insufficient PA and weak LBMS were correlated with an increased risk of cognitive impairment (OR = 1.340, p < 0.001; OR = 1.719, p < 0.001, respectively). Particularly, PA modulates the negative impact of comorbidities on cognitive function (β = −0.3833; 95% CI = −0.4743 to −0.2023) independent of all measured covariates. Weak LBMS was found to be an independent predictor of cognitive function (β = −2.5078, p < 0.001) regardless of comorbidities. Conclusions: The study findings suggest that a lifestyle intervention targeting regular PA and muscular fitness should be a therapeutic means against cognitive decline associated with normal aging and/or chronic diseases.
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13
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Sollerhed AC, Bringsén Å. Appearance between professionalism and work-related stress among marketing employees. Work 2023; 75:1231-1242. [PMID: 36744358 PMCID: PMC10473140 DOI: 10.3233/wor-220307] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Accepted: 10/06/2022] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Appearance and body language are key components of non-verbal communication and play an important role in the service and marketing sector. OBJECTIVE The aim was to explore experiences and perceptions of appearance issues related to work among employees in the marketing sector in Sweden. METHODS Interviews were conducted with 15 marketing and communication employees (five males, ten females), at multinational companies and a university. Thematic analyses were conducted, and content was organised in two themes with sub-themes: 1. Appearance from a resource perspective (Appearance benefits; Physical activity resources; Age benefits). 2. Appearance from a demand perspective (Adaptation to gender roles; Investment in appearance; Adaptation to situation and culture). RESULTS The findings showed that appearance was perceived as a resource for professionalism, work engagement and career in various ways. Appearance-related issues were not considered on organisational work level, but employees perceived unspoken demands to look good and appropriate to represent the company brand. The employees spent a considerable amount of time, money, and effort on appearance. CONCLUSION Appearance creates dualistic questions and points out several dilemmas that the individual struggle to solve, which creates stress in work. The character of unspoken demands on appearance and absent communication on organisational level make the stress-coping strategies complicated and the stress coping is mostly left for the individual to handle. A gender difference shows that compared to men, women more often experience negative stress generated by appearance-related issues in work. Education and actions at the managerial level of companies are needed.
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Affiliation(s)
| | - Åsa Bringsén
- Faculty of Health Sciences, Kristianstad University, Kristianstad, Sweden
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14
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Rognoni T, Fernández-Matarrubia M, Martinez-González MÁ, Salas-Salvadó J, Corella D, Castañer O, Martínez JA, Alonso-Gómez ÁM, Gómez-Gracia E, Vioque J, Romaguera D, López-Miranda J, Estruch R, Tinahones FJ, Santos-Lozano JM, Serra-Majem L, Cano Ibañez N, Tur JA, Micó Pérez R, Pintó X, Delgado-Rodríguez M, Ortiz Ramos M, Vidal J, Vázquez C, Daimiel L, Ros E, Goñi-Ruiz N, Babio N, Sorlí JV, Schröder H, García-Rios A, Compañ-Gabucio L, Warnberg J, Zulet MÁ, Chaplin A, Sacanella E, Bouzalmate-Hajjaj A, Tojal-Sierra L, Damas-Fuentes M, Vázquez Z, Gómez-Martínez C, Saiz C, Malcampo M, Ortiz-Morales AM, Martínez-Avilés V, García-Gavilan J, Abete I, Fitó M, Toledo E. Two-Year Changes in Physical Activity and Concurrent Changes in Cognitive Function in a Cohort of Adults with Metabolic Syndrome. J Alzheimers Dis 2023; 95:887-899. [PMID: 37661880 DOI: 10.3233/jad-230105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/05/2023]
Abstract
BACKGROUND It has been proposed that physical activity (PA) could prevent cognitive decline. OBJECTIVE To evaluate the association between changes in PA and changes in cognitive function in a cohort of adults with metabolic syndrome. METHODS Longitudinal observational study including 5,500 adults (mean age 65 years, SD = 5; women = 49.3% ) with metabolic syndrome. Participants underwent physical activity measurements and cognitive evaluation at baseline and at two-years of follow-up. PA was quantified using the Minnesota questionnaire-shortened version. Cognitive function was evaluated using a battery of tests: Mini-Mental Test Examination, Clock Drawing Test, Trail Making Test A and B, Verbal Fluency Test, and Digit Span. The primary outcome was two-year change in cognition, measured through the Global Composite Score (GCS) of all neuropsychological tests. Multivariable-adjusted linear regression models were fitted with baseline PA and their changes as the main exposures and changes in cognitive function as the outcome. RESULTS No significant association was found between PA levels (or their changes) in the GCS of cognitive function. A greater increase in PA levels was associated with a more favorable two-year change in the Trail Making Test A (Q4 versus Q1: b = - 2.24s, 95% CI -4.36 to -0.12s; p-trend = 0.020). No significant association was found for other neuropsychological test. CONCLUSION Our results do not support an association between increases in PA and the evolution of the global cognitive function at two-year in an intervention trial which included PA promotion in one of its two randomized arms, but they suggested a possible beneficial effect of PA on attentional function in older adults.
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Affiliation(s)
- Teresa Rognoni
- Department of Neurology, Clínica Universidad de Navarra, Madrid, Spain
| | | | - Miguel Ángel Martinez-González
- Department of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain
- IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Jordi Salas-Salvadó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Universitat Rovira i Vigili, Department de Bioquímica i Biotecnología, Unitat de Nutrició Humana, Reus, Spain
- Institut d'Investigació Sanitària Pere i Virgili (IISPV), Hospital San Joan de Reus, Reus, Spain
| | - Dolores Corella
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Olga Castañer
- Cardiovascular Risk and Nutrition, Hospital del Mar Research Institute (IMIM), Barcelona, Spain
- Centro de Investigación Biomédica en Red Epidemiología y Salud Pública (CIBERESP), Institute of Health Carlos III, Madrid, Spain
| | - J Alfredo Martínez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain
- Nutritional Control of the Epigenome Group, Precision Nutrition and Obesity Program, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - Ángel M Alonso-Gómez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Bioaraba Health Research Institute, Cardiovascular, Respiratory and Metabolic Area; Osakidetza Basque Health Service, Araba University Hospital; University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Enrique Gómez-Gracia
- Department of Preventive Medicine and Public Health, Instituto de Investigación Biomédica de Málaga-IBIMA, School of Medicine, University of Málaga, Málaga, Spain
| | - Jesús Vioque
- Centro de Investigación Biomédica en Red Epidemiología y Salud Pública (CIBERESP), Institute of Health Carlos III, Madrid, Spain
- Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH).Alicante, Spain
| | - Dora Romaguera
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR), HealthResearch Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - José López-Miranda
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Córdoba, Córdoba, Spain
| | - Ramón Estruch
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Internal Medicine, Institut de I'nvestigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Francisco J Tinahones
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Endocrinology, Virgen de la Victoria Hospital, Instituto de Investigación Biomédica de Málaga (IBIMA). University of Málaga, Málaga, Spain
| | - José Manuel Santos-Lozano
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, Sevilla, Spain
| | - Lluis Serra-Majem
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Research Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria and Centro Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canarian Health Service, Las Palmas de Gran Canaria, Spain
| | - Naomi Cano Ibañez
- Centro de Investigación Biomédica en Red Epidemiología y Salud Pública (CIBERESP), Institute of Health Carlos III, Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain
- Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), Granada, Spain
| | - Josep A Tur
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Research Group on Community Nutrition and Oxidative Stress, University of Balearic Islands-IUNICS, Palma de Mallorca, Spain
| | - Rafael Micó Pérez
- Centro de Investigación Biomédica en Red Epidemiología y Salud Pública (CIBERESP), Institute of Health Carlos III, Madrid, Spain
- Institute of Biomedicine (IBIOMED), University of León, León, Spain
| | - Xavier Pintó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge, Hospitalet de Llobregat, Spain
| | - Miguel Delgado-Rodríguez
- Centro de Investigación Biomédica en Red Epidemiología y Salud Pública (CIBERESP), Institute of Health Carlos III, Madrid, Spain
- Division of Preventive Medicine, Faculty of Medicine, University of Jaén, Jaén, Spain
| | - María Ortiz Ramos
- Department of Endocrinology and Nutrition, Instituto de Investigación Sanitaria Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - Josep Vidal
- Lipid Clinic, Department of Endocrinology and Nutrition, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain
- CIBER Diabetes y Enfermedades Metabólicas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Clotilde Vázquez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Endocrinology and Nutrition, Hospital Fundación Jiménez Díaz, Instituto de Investigaciones Biomédicas IISFJD, University Autónoma, Madrid, Spain
| | - Lidia Daimiel
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Nutritional Control of the Epigenome Group, Precision Nutrition and Obesity Program, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
- Departamento de Ciencias Farmacéuticas y de la Salud, Faculty de Farmacia, Universidad San Pablo-CEU, CEU Universities, Boadilla del Monte, Spain
| | - Emilio Ros
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Lipid Clinic, Department of Endocrinology and Nutrition, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, Barcelona, Spain
| | - Nuria Goñi-Ruiz
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Servicios de Atención Primaria, Navarra Regional Health Service (Osasunbidea), Pamplona, Spain
| | - Nancy Babio
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Universitat Rovira i Vigili, Department de Bioquímica i Biotecnología, Unitat de Nutrició Humana, Reus, Spain
- Institut d'Investigació Sanitària Pere i Virgili (IISPV), Hospital San Joan de Reus, Reus, Spain
| | - José V Sorlí
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Helmut Schröder
- Cardiovascular Risk and Nutrition, Hospital del Mar Research Institute (IMIM), Barcelona, Spain
- Centro de Investigación Biomédica en Red Epidemiología y Salud Pública (CIBERESP), Institute of Health Carlos III, Madrid, Spain
| | - Antonio García-Rios
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Córdoba, Córdoba, Spain
| | - Laura Compañ-Gabucio
- Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH).Alicante, Spain
| | - Julia Warnberg
- Department of Nursing, School of Health Sciences University of Malaga, Spain
- Instituto de Investigación Biomédica de Málaga-IBIMA, Málaga, Spain
| | - M Ángeles Zulet
- IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain
| | - Alice Chaplin
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR), HealthResearch Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - Emilio Sacanella
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Internal Medicine, Institut de I'nvestigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Amira Bouzalmate-Hajjaj
- Centro de Investigación Biomédica en Red Epidemiología y Salud Pública (CIBERESP), Institute of Health Carlos III, Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain
| | - Lucas Tojal-Sierra
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Bioaraba Health Research Institute, Cardiovascular, Respiratory and Metabolic Area; Osakidetza Basque Health Service, Araba University Hospital; University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Miguel Damas-Fuentes
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Endocrinology, Virgen de la Victoria Hospital, Instituto de Investigación Biomédica de Málaga (IBIMA). University of Málaga, Málaga, Spain
| | - Zenaida Vázquez
- Department of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
| | - Carlos Gómez-Martínez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Universitat Rovira i Vigili, Department de Bioquímica i Biotecnología, Unitat de Nutrició Humana, Reus, Spain
- Institut d'Investigació Sanitària Pere i Virgili (IISPV), Hospital San Joan de Reus, Reus, Spain
| | - Carmen Saiz
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Mireia Malcampo
- Cardiovascular Risk and Nutrition, Hospital del Mar Research Institute (IMIM), Barcelona, Spain
| | - Ana M Ortiz-Morales
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Córdoba, Córdoba, Spain
| | | | - Jesús García-Gavilan
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Universitat Rovira i Vigili, Department de Bioquímica i Biotecnología, Unitat de Nutrició Humana, Reus, Spain
- Institut d'Investigació Sanitària Pere i Virgili (IISPV), Hospital San Joan de Reus, Reus, Spain
| | - Itziar Abete
- IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain
| | - Montserrat Fitó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
- Cardiovascular Risk and Nutrition, Hospital del Mar Research Institute (IMIM), Barcelona, Spain
| | - Estefanía Toledo
- Department of Preventive Medicine and Public Health, University of Navarra, Pamplona, Spain
- IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, Madrid, Spain
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Mellow ML, Dumuid D, Wade AT, Stanford T, Olds TS, Karayanidis F, Hunter M, Keage HAD, Dorrian J, Goldsworthy MR, Smith AE. Twenty-four-hour time-use composition and cognitive function in older adults: Cross-sectional findings of the ACTIVate study. Front Hum Neurosci 2022; 16:1051793. [PMID: 36504624 PMCID: PMC9729737 DOI: 10.3389/fnhum.2022.1051793] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Accepted: 10/31/2022] [Indexed: 11/25/2022] Open
Abstract
Introduction Physical activity, sedentary behaviour and sleep are associated with cognitive function in older adults. However, these behaviours are not independent, but instead make up exclusive and exhaustive components of the 24-h day. Few studies have investigated associations between 24-h time-use composition and cognitive function in older adults. Of these, none have considered how the quality of sleep, or the context of physical activity and sedentary behaviour may impact these relationships. This study aims to understand how 24-h time-use composition is associated with cognitive function across a range of domains in healthy older adults, and whether the level of recreational physical activity, amount of television (TV) watching, or the quality of sleep impact these potential associations. Methods 384 healthy older adults (age 65.5 ± 3.0 years, 68% female, 63% non-smokers, mean education = 16.5 ± 3.2 years) participated in this study across two Australian sites (Adelaide, n = 207; Newcastle, n = 177). Twenty-four-hour time-use composition was captured using triaxial accelerometry, measured continuously across 7 days. Total time spent watching TV per day was used to capture the context of sedentary behaviours, whilst total time spent in recreational physical activity was used to capture the context of physical activity (i.e., recreational accumulation of physical activity vs. other contexts). Sleep quality was measured using a single item extracted from the Pittsburgh Sleep Quality Index. Cognitive function was measured using a global cognition index (Addenbrooke's Cognitive Examination III) and four cognitive domain composite scores (derived from five tests of the Cambridge Neuropsychological Test Automated Battery: Paired Associates Learning; One Touch Stockings of Cambridge; Multitasking; Reaction Time; Verbal Recognition Memory). Pairwise correlations were used to describe independent relationships between time use variables and cognitive outcomes. Then, compositional data analysis regression methods were used to quantify associations between cognition and 24-h time-use composition. Results After adjusting for covariates and false discovery rate there were no significant associations between time-use composition and global cognition, long-term memory, short-term memory, executive function, or processing speed outcomes, and no significant interactions between TV watching time, recreational physical activity engagement or sleep quality and time-use composition for any cognitive outcomes. Discussion The findings highlight the importance of considering all activities across the 24-h day against cognitive function in older adults. Future studies should consider investigating these relationships longitudinally to uncover temporal effects.
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Affiliation(s)
- Maddison L. Mellow
- Alliance for Research in Exercise, Nutrition and Activity, Allied Health and Human Performance, University of South Australia, Adelaide, SA, Australia
| | - Dorothea Dumuid
- Alliance for Research in Exercise, Nutrition and Activity, Allied Health and Human Performance, University of South Australia, Adelaide, SA, Australia
| | - Alexandra T. Wade
- Alliance for Research in Exercise, Nutrition and Activity, Allied Health and Human Performance, University of South Australia, Adelaide, SA, Australia
| | - Ty Stanford
- Alliance for Research in Exercise, Nutrition and Activity, Allied Health and Human Performance, University of South Australia, Adelaide, SA, Australia
| | - Timothy S. Olds
- Alliance for Research in Exercise, Nutrition and Activity, Allied Health and Human Performance, University of South Australia, Adelaide, SA, Australia
| | - Frini Karayanidis
- Functional Neuroimaging Laboratory, School of Psychological Sciences, The University of Newcastle, Newcastle, NSW, Australia
- Healthy Minds Research Program, Hunter Medical Research Institute (HMRI), Newcastle, NSW, Australia
| | - Montana Hunter
- Functional Neuroimaging Laboratory, School of Psychological Sciences, The University of Newcastle, Newcastle, NSW, Australia
- Healthy Minds Research Program, Hunter Medical Research Institute (HMRI), Newcastle, NSW, Australia
| | - Hannah A. D. Keage
- Behaviour-Brain-Body Research Centre, Justice and Society, University of South Australia, Adelaide, SA, Australia
| | - Jillian Dorrian
- Behaviour-Brain-Body Research Centre, Justice and Society, University of South Australia, Adelaide, SA, Australia
| | - Mitchell R. Goldsworthy
- Lifespan Human Neurophysiology Group, School of Biomedicine, University of Adelaide, Adelaide, SA, Australia
- Hopwood Centre for Neurobiology, Lifelong Health Theme, South Australian Health and Medical Research Institute (SAHMRI), Adelaide, SA, Australia
| | - Ashleigh E. Smith
- Alliance for Research in Exercise, Nutrition and Activity, Allied Health and Human Performance, University of South Australia, Adelaide, SA, Australia
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Conde-Pipó J, Valenzuela-Barranco I, López-Moro A, Román-Alconchel B, Mariscal-Arcas M, Zurita-Ortega F. Influence of Alpine Skiing on Health-Related Quality of Life and Physical Self-Concept in Physically Active Adults over 55 Years of Age. Sports (Basel) 2022; 10:sports10100153. [PMID: 36287766 PMCID: PMC9607613 DOI: 10.3390/sports10100153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Revised: 09/29/2022] [Accepted: 10/03/2022] [Indexed: 11/17/2022] Open
Abstract
Background: Older adults have the highest rates of a sedentary lifestyle. Alpine skiing could be considered a suitable activity to encourage continued sports practice and improve the health of this population in winter. The aim of this study was to analyse the relationship between the practice of alpine skiing and health-related quality of life (HRQoL), physical self-concept (PSC), and sport motivation. Methods: The study design was cross-sectional and descriptive, involving 280 Spanish adults aged over 55 years and physically active (75.35% skiers). To assess physical activity, PSC, HRQoL, and sport motivation, we used the Rapid Assessment of Physical Activity Questionnaire (RAPA-Q), the Physical Self-Perception Profile (PSPP 30), the Health-Related Quality of Life (SF-36), and the Sport Motivation Scale (SMS) questionnaires, respectively. Results: In the skier’s group, higher values were found for PSC (p < 0.001; d = 0.64), the physical component of HRQoL (p < 0.001, d = 0.48), physical function (p < 0.001, d = 61), and intrinsic motivation (p < 0.001; d = 0.85). The practice of alpine skiing was associated with higher levels of the physical health component (ORadj = 2.13, 95% CI 1.18−3.95, p = 0.013), PSC (ORadj = 2.92, 95% CI 1.58−5.52, p < 0.001), and intrinsic motivation (ORadj = 2.24, 95% CI 1.22−4.23, p = 0.010). Conclusions: The practice of alpine skiing is positively associated with higher values of HRQoL, PSC, and intrinsic motivation, and based on the above, it seems that alpine skiing can contribute to healthy ageing and improve the quality of life of older adults.
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Affiliation(s)
- Javier Conde-Pipó
- Department of Didactics of Musical, Plastic and Corporal, Faculty of Education Sciences, University of Granada, 18071 Granada, Spain
| | | | - Alejandro López-Moro
- Department Nutrition and Food Science, School of Pharmacy, University of Granada, Campus of Cartuja s/n, 18071 Granada, Spain
| | - Blanca Román-Alconchel
- Department Nutrition and Food Science, School of Pharmacy, University of Granada, Campus of Cartuja s/n, 18071 Granada, Spain
| | - Miguel Mariscal-Arcas
- Department Nutrition and Food Science, School of Pharmacy, University of Granada, Campus of Cartuja s/n, 18071 Granada, Spain
- Correspondence: ; Tel.: +34-600-72-62-60
| | - Félix Zurita-Ortega
- Department of Didactics of Musical, Plastic and Corporal, Faculty of Education Sciences, University of Granada, 18071 Granada, Spain
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Are COMT Val158Met (rs4680), DRD2 TaqIA (rs1800497), and BDNF Val66Met (rs6265) polymorphisms associated with executive functions performance at rest and during physical exercise? Physiol Behav 2022; 257:113973. [PMID: 36179810 DOI: 10.1016/j.physbeh.2022.113973] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 09/14/2022] [Accepted: 09/26/2022] [Indexed: 11/21/2022]
Abstract
Executive functions (EFs) encompass a wide array of cognitive processes, which appear to be influenced by genetic variants of the COMT, DRD2/ANKK1, and BDNF polymorphisms. The present study aimed to investigate whether COMT Val158Met (rs4680), DRD2/ANKK1 (rs1800497), and BDNF Val66Met (rs6265) polymorphisms were associated with EFs assessed at rest and during moderate acute physical exercise. Sixty physically active individuals underwent four laboratory visits. First, they filled out the pre-exercise survey, researchers collected their anthropometric data, and then performed a maximal cardiopulmonary exercise test. In the second and third sessions, participants performed EFs test in a randomized order: while the individual was seated on a cycle ergometer without pedaling (i.e., rest condition); and during physical exercise (pedaling for 30 minutes at moderate intensity before starting the EFs test during exercising). On the fourth day, blood samples were drawn. Our results showed that the response time of the COMT Val homozygotes group was significantly shorter than the COMT Met-carrier group [t(39.78) = 2.13, p = .039,d = 0.56] at rest condition. No significant association was found for the other analyses (DRD2/ANKK1 and BDNF). In conclusion, the present study suggests that COMT Val158Met (rs4680) polymorphisms may be associated with EFs at rest condition. However, further studies are needed to validate this association.
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Zhang C, Tang D, Wang Y, Jiang S, Liu X. Community support and promoting cognitive function for the elderly. Front Psychol 2022; 13:942474. [PMID: 36148108 PMCID: PMC9488112 DOI: 10.3389/fpsyg.2022.942474] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Accepted: 07/26/2022] [Indexed: 11/13/2022] Open
Abstract
Proper cognitive functions are critical to the life of the elderly. With the rapid aging of the population, community support plays an important role in cognitive functioning. This study examines the association between community support and the level of cognitive functioning in the elderly, and the mediating effect of social participation in the relationship. Based on the panel data of China Longitudinal Healthy Longevity Survey (CLHLS) in 2005, 2008, 2011, 2014, and 2018, people aged 65 and over are selected as the research object (N = 35,479). The panel Logit model is used to analyze the influence of community support on their cognitive functioning. In addition, the stepwise regression and KHB decomposition methods are used to test the influence mechanism of community support on their cognitive function. The benchmark regression results show that there is a significant correlation between community support and cognitive function in the elderly (OR: 1.64, 95% CI: 1.41–1.91, p < 0.01). Daily care (OR: 1.75, 95% CI: 1.33–2.29, p < 0.01) has the strongest impact on the cognitive function of the elderly, followed by health care (OR: 1.70, 95% CI: 1.43–2.01, p < 0.01) and legal support (OR: 1.64, 95% CI: 1.37–1.95, p < 0.01), while psychological care (OR: 1.62, 95% CI: 1.31–2.01, p < 0.01) has the weakest impact on the cognitive function of the elderly. The results of the mediation effect test show that social participation plays a significant intermediary role in the impact of community support on the cognitive function of the elderly (mediation percentage: 16.89%), demonstrating that community support can improve the cognitive function of the elderly by promoting the social participation of the elderly. In classified community support, social participation plays a significant intermediary role in the impact of psychological care on cognition (mediation percentage: 46.10%).
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Affiliation(s)
- Chong Zhang
- School of Marxism, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
- *Correspondence: Chong Zhang,
| | - Daisheng Tang
- Beijing Laboratory of National Economic Security Early-Warning Engineering, School of Economics and Management, Beijing Jiaotong University, Beijing, China
- Daisheng Tang,
| | - Yan Wang
- School of Law and Sociology, Xihua University, Chengdu, Sichuan, China
| | - Shilin Jiang
- School of Law and Sociology, Xihua University, Chengdu, Sichuan, China
| | - Xin Liu
- School of Law and Sociology, Xihua University, Chengdu, Sichuan, China
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Calvino M, Sánchez-Cuadrado I, Gavilán J, Lassaletta L. The effect of risk factors on cognition in adult cochlear implant candidates with severe to profound hearing loss. Front Psychol 2022; 13:837366. [PMID: 36051206 PMCID: PMC9426630 DOI: 10.3389/fpsyg.2022.837366] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Accepted: 07/29/2022] [Indexed: 01/10/2023] Open
Abstract
Hearing loss has been identified as a major modifiable risk factors for dementia. Adult candidates for cochlear implantation (CI) represent a population at risk of hearing loss-associated cognitive decline. This study investigated the effect of demographics, habits, and medical and psychological risk factors on cognition within such a cohort. Data from 34 consecutive adults with post-lingual deafness scheduled for CI were analyzed. Pure tone audiometry (PTA4) and Speech Discrimination Score (SDS) were recorded. The Repeatable Battery for Assessment of Neuropsychological Status for Hearing impaired individuals (RBANS-H) was used to measure cognition. Demographics (sex, age, years of education), habits (smoking, alcohol intake, physical inactivity), and medical factors (hypertension, diabetes, traumatic brain injury) were evaluated. Depression was measured using the Hospital Anxiety and Depression Scale (HADS), and social inhibition with the Type D questionnaire (DS14). All participants (mean age 62 ± 15 years) suffered from severe to profound hearing loss (PTA4:129 ± 60 dB; SDS:14 ± 24%). The mean RBANS-H total score was 83 ± 16. Participants reported a mean of years of formal education of 12 ± 5 years. The prevalence of habits and medical risk factors was: physical inactivity (29%), body mass index >30 (28%), traumatic brain injury (25%), hypertension (24%), heavy alcohol consumption (13%), smoking (13%), and diabetes (0%). Regarding psychological factors, the mean scores of social inhibition and depression were 10 ± 6 and 6 ± 5, respectively. The number of years of education was significantly correlated with the RBANS-H total score (p < 0.001), and with the domains “Immediate memory” (p = 0.003), “Visuospatial/constructional” (p < 0.001), and “Attention” (p < 0.001). The mean RBANS-H total score in participants who had university studies or higher level (12/34) was 97 ± 9, with the remaining participants reporting a mean score of 75 ± 15. Men performed better in the “Visuospatial/constructional” (p = 0.008). Physical inactivity was associated with lower scores in the “Delayed memory” (p = 0.031); hypertension correlated with lower RBANS-H total scores (p = 0.025) and “Attention” (p = 0.006). Depression and social inhibition were negatively correlated with RBANS-H total score and with the “Immediate memory,” “Visuospatial/constructional,” and “Attention” (all p < 0.05). In adults with late-onset deafness scheduled to CI, educational level has a significant effect. Additionally, sex, physical inactivity, hypertension, and psychological traits of social inhibition and depression may also influence cognitive status. Long-term studies with more participants would enable us better understand the effects different risk factors on cognitive status.
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Affiliation(s)
- Miryam Calvino
- Department of Otolaryngology, Hospital Universitario La Paz, IdiPAZ Research Institute, Madrid, Spain
- Biomedical Research Networking Centre on Rare Diseases (CIBERER), Institute of Health Carlos III, Madrid, Spain
| | - Isabel Sánchez-Cuadrado
- Department of Otolaryngology, Hospital Universitario La Paz, IdiPAZ Research Institute, Madrid, Spain
| | - Javier Gavilán
- Department of Otolaryngology, Hospital Universitario La Paz, IdiPAZ Research Institute, Madrid, Spain
| | - Luis Lassaletta
- Department of Otolaryngology, Hospital Universitario La Paz, IdiPAZ Research Institute, Madrid, Spain
- Biomedical Research Networking Centre on Rare Diseases (CIBERER), Institute of Health Carlos III, Madrid, Spain
- *Correspondence: Luis Lassaletta,
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Li W, Cui Y, Gong Q, Zhu Z. Association of Smartphone Use Duration with Physical Fitness among University Students: Focus on Strength and Flexibility. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19127386. [PMID: 35742637 PMCID: PMC9223719 DOI: 10.3390/ijerph19127386] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 04/23/2022] [Revised: 06/11/2022] [Accepted: 06/14/2022] [Indexed: 11/29/2022]
Abstract
High-frequency smartphone use leads to physical inactivity and may consequently cause the loss of physical fitness. Although the relationship between smartphone usage and physical fitness has been investigated, most of these studies focused on partial physical fitness, and the evaluation of the duration of smartphone use was insufficient. Therefore, this study aimed to investigate the relationship between the time period of using smart phones and physical fitness in Chinese university students. In this cross-sectional study, 8977 college students (5189 men and 3788 women) were enrolled. The assessment of smartphone usage was performed using a self-reported questionnaire. Physical fitness was measured in a sports facility, consisting of grip strength, standing long jump, and sit-and-reach test. The post adjustment relationship between smartphone use duration and physical fitness was examined by using the ANCOVA test. In the final adjusted model, an inverse association was observed between the smartphone use duration and grip strength in male and female participants (p = 0.003 and <0.001, respectively). The smartphone use duration was also negatively associated with standing long jump in both sexes (p = 0.003 for male and = 0.026 for female). In male participants, the longer the period of using smartphones, the lower their flexibility (p = 0.026). In conclusion, this study investigated the association between the duration of smartphone use and physical fitness. The results showed that longer durations of smartphone use were associated with weaker grip strength, a shorter standing long jump, and lower flexibility. Controlling smartphone-use duration might be beneficial for physical fitness among university students.
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Affiliation(s)
- Wang Li
- Department of Physical Education, Huaiyin Institute of Technology, Huaian 223003, China;
- Correspondence: (W.L.); (Y.C.)
| | - Yufei Cui
- Department of Physical Education, Huaiyin Institute of Technology, Huaian 223003, China;
- Department of Medicine and Science in Sports and Exercise, Tohoku University Graduate School of Medicine, Sendai 980-8575, Japan;
- Correspondence: (W.L.); (Y.C.)
| | - Qiang Gong
- Department of Medicine and Science in Sports and Exercise, Tohoku University Graduate School of Medicine, Sendai 980-8575, Japan;
| | - Zhihong Zhu
- Department of Physical Education, Huaiyin Institute of Technology, Huaian 223003, China;
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Iliano E, Beeckman M, Latomme J, Cardon G. The GRANDPACT Project: The Development and Evaluation of an Intergenerational Program for Grandchildren and Their Grandparents to Stimulate Physical Activity and Cognitive Function Using Co-Creation. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19127150. [PMID: 35742392 PMCID: PMC9222701 DOI: 10.3390/ijerph19127150] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 06/03/2022] [Accepted: 06/07/2022] [Indexed: 11/16/2022]
Abstract
In recent years, increased attention has been devoted to intergenerational physical activity (PA) programs because they may have several benefits for both children and older adults (e.g., the reduction of ageism). An intergenerational PA program focusing on grandchildren and grandparents in a 'standard' family setting that combines PA and cognitive function is innovative and may hold potential for promoting PA and improving cognitive functioning in both grandchildren and grandparents. The aim of this study is to describe the protocol of the GRANDPACT (GRANDparents and GRANDchildren improve their Physical Activity and Cognitive functions using co-creaTion) Project, focusing on the development of an intergenerational, cognitively enriched, movement program for grandchildren and grandparents using the theoretical framework of the "Behaviour Change Wheel" in combination with a co-creation approach. Two co-creation trajectories will be organized to develop the program, followed by a pilot study to refine the program and an RCT with a pre-test (at baseline), a post-test (after 24 weeks), and a follow-up (after 36 weeks) to measure the outcomes of co-PA, cognitive functions, psychosocial well-being, and the quality of the family relationship ingrandchildren and grandparents. The outcomes will be measured using accelerometry for PA, the Cambridge Neuropsychological Test Automated Battery (CANTAB) for cognitive functions, and questionnaires for the psychological well-being and quality of the family relationship. Co-development with end-users and stakeholders during both co-creation trajectories is expected to result in an effective, attractive, and feasible program. Co-PA is expected to improve PA, cognitive functioning, psychosocial well-being, and the quality of the family relationships between grandchildren and grandparents.
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22
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Is Subjective Age Associated with Physical Fitness in Community-Dwelling Older Adults? INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19116841. [PMID: 35682424 PMCID: PMC9180396 DOI: 10.3390/ijerph19116841] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Revised: 05/29/2022] [Accepted: 06/02/2022] [Indexed: 01/01/2023]
Abstract
Although subjective age has been associated with a range of health-related outcomes, there has been little systematic study on the relationship between the subjective age and physical fitness in a given population. The purpose of this study was to determine the prospective association between subjective age and physical fitness in community-dwelling older adults. A sample of 276 older people who lived in the community was studied. Subjective age was measured by a face-to-face interview. Grip strength, balancing on one leg with eyes open, the 30 s chair stand test, 4 m habitual walk, and 6 min walk test were measured to reflect physical fitness. Results indicated that the felt younger older adults had a higher level of physical fitness compared to their felt older and felt the same counterparts. Multiple linear regression analysis indicated that all the measured physical fitness items were significantly associated with subjective age in older men. All of the measured physical fitness items except for the 4 m habitual walk were remarkably related to subjective age in older women. The findings suggest that subjective age is closely associated with physical fitness in community-dwelling older adults. Much attention should be paid to the promotion of physical fitness to improve the subjective age of older adults.
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Conde-Pipó J, Bouzas C, Mariscal-Arcas M, Tur JA. Association between Functional Fitness and Health-Related Quality of Life in the Balearic Islands' Old Adults with Metabolic Syndrome. Nutrients 2022; 14:nu14091798. [PMID: 35565767 PMCID: PMC9103052 DOI: 10.3390/nu14091798] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Revised: 04/14/2022] [Accepted: 04/24/2022] [Indexed: 11/16/2022] Open
Abstract
Research assessing the relationship between functional fitness (FF) and health-related quality of life (HRQoL) is still scarce. The objective of this research is to assess the association between FF and HRQoL in older adults with metabolic syndrome (MetS) from Balearic Islands (Spain). The design is a cross-sectional, descriptive, and comparative study involving 209 participants (42.2% women). The sociodemographic data and medical history of the participants were collected. Physical activity was evaluated using the Spanish version of the Rapid Assessment of Physical Activity Questionnaire. Anthropometrics and blood pressure were measured. Glucose, total cholesterol, high-density lipoprotein cholesterol, and triglyceride plasma levels were measured. A battery of functional fitness tests was applied. HRQoL was measured with the Spanish version of the SF-36 questionnaire. Adherence to the Mediterranean dietary pattern was assessed. In older subjects with MetS, a higher FF score and, within it, endurance, lower body strength, one-leg balance, and agility are positively associated with lower physical function (p < 0.001; d = 0.56), better general health (p = 0.019; d = 0.35), and better summary physical component of HRQoL (p < 0.001; d = 0.57). The FF score and HRQoL physical component are both positively associated with high levels of physical activity (ORadj = 10.3, IC 4.19−28.2, p < 0.001; ORadj = 3.25, IC 1.44−7.72, p < 0.005). Older adults with MetS should consider practicing physical activity above the general recommendations to improve their functional fitness and health status and quality of life.
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Affiliation(s)
- Javier Conde-Pipó
- Department of Didactics of Musical, Plastic and Corporal, Faculty of Education Sciences, University of Granada, 18071 Granada, Spain;
| | - Cristina Bouzas
- Research Group on Community Nutrition and Oxidative Stress, University of the Balearic Islands-IUNICS, 07122 Palma de Mallorca, Spain;
- Health Institute of the Balearic Islands (IDISBA), 07120 Palma de Mallorca, Spain
- CIBEROBN (Physiopathology of Obesity and Nutrition CB12/03/30038), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
| | - Miguel Mariscal-Arcas
- Department of Nutrition and Food Science, School of Pharmacy, University of Granada, 18071 Granada, Spain;
| | - Josep A. Tur
- Research Group on Community Nutrition and Oxidative Stress, University of the Balearic Islands-IUNICS, 07122 Palma de Mallorca, Spain;
- Health Institute of the Balearic Islands (IDISBA), 07120 Palma de Mallorca, Spain
- CIBEROBN (Physiopathology of Obesity and Nutrition CB12/03/30038), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Correspondence: ; Tel.: +34-971-1731; Fax: +34-971-173184
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Mandini S, Morelli M, Belvederi Murri M, Grassi L, Masotti S, Simani L, Zerbini V, Raisi A, Piva T, Grazzi G, Mazzoni G. Adherence to a guided walking program with amelioration of cognitive functions in subjects with schizophrenia even during COVID-19 pandemic. BMC Sports Sci Med Rehabil 2022; 14:48. [PMID: 35337370 PMCID: PMC8951652 DOI: 10.1186/s13102-022-00440-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Accepted: 03/15/2022] [Indexed: 11/10/2022]
Abstract
Background Aim of the study was to enrol a group of individuals with schizophrenia in a long-term moderate-intensity physical activity program and to evaluate its effects on their cognitive functions and cardiovascular risk factors. An additional aim of the study was the comparison of the adherence to the physical activity program before and during the COVID-19 pandemic. Methods Forty sedentary patients diagnosed with schizophrenia (mean age 46.4 ± 9.6) followed by the Public Mental Health Department of Ferrara were included in the study. 28 of them followed a 1-year walking program consisting of two guided walking sessions/week, while 12 maintained their sedentary lifestyle and followed the usual Cognitive Rehabilitation program. To the participants following the walking program VO2 peak and walking speed were assessed at baseline and at the end of the program. All participants were evaluated on blood pressure and anthropometric variable. Cognitive functions were assessed with the Screen for Cognitive Impairment in Psychiatry (SCIP) and with the Frontal Assessment Battery (FAB) questionnaires. Results The 20 participants completing the walking program displayed significant improvements in cognitive functions (dppc2 0.35 for SCIP and 0.26 for FAB), with a positive correlation between SCIP score and the number of sessions attended (R = 0.86, p < 0.001), evident in the patients attending to at least 75 of the 100 walking sessions. Walking speed and VO2peak increased significantly and a decrease of body weight, BMI, systolic and diastolic blood pressure was also observed. The adherence to the walking program registered during Covid-19 period did not differ from that observed before the pandemic. The 12 CG (Control Group) patients maintaining the sedentary lifestyle did not display improvements of cognitive functions. Conclusions The main finding of this study is the improvement of cognitive functions which is significantly related to the number of walking sessions attended by participants with schizophrenia. The walking program, guided by exercise specialists, proved to be an enjoyable activity for people with mental disorder feasible even during the COVID-19 pandemic. Trial registration Retrospectively registered on ISRCTN as non-randomized trial (n. ISRCTN14763786).
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Affiliation(s)
- S Mandini
- Department of Neuroscience and Rehabilitation, Center for Exercise Science and Sports, University of Ferrara, via Gramicia 35, 44121, Ferrara, Italy
| | - M Morelli
- Department of Neuroscience and Rehabilitation, Center for Exercise Science and Sports, University of Ferrara, via Gramicia 35, 44121, Ferrara, Italy
| | - M Belvederi Murri
- Department of Neuroscience and Rehabilitation, Institute of Psychiatry, University of Ferrara, Ferrara, Italy
| | - L Grassi
- Department of Neuroscience and Rehabilitation, Institute of Psychiatry, University of Ferrara, Ferrara, Italy
| | - S Masotti
- Department of Neuroscience and Rehabilitation, Center for Exercise Science and Sports, University of Ferrara, via Gramicia 35, 44121, Ferrara, Italy
| | - L Simani
- Public Mental Health Department, AUSL Ferrara, Ferrara, Italy
| | - V Zerbini
- Department of Neuroscience and Rehabilitation, Center for Exercise Science and Sports, University of Ferrara, via Gramicia 35, 44121, Ferrara, Italy.
| | - A Raisi
- Department of Neuroscience and Rehabilitation, Center for Exercise Science and Sports, University of Ferrara, via Gramicia 35, 44121, Ferrara, Italy
| | - T Piva
- Department of Neuroscience and Rehabilitation, Center for Exercise Science and Sports, University of Ferrara, via Gramicia 35, 44121, Ferrara, Italy
| | - G Grazzi
- Department of Neuroscience and Rehabilitation, Center for Exercise Science and Sports, University of Ferrara, via Gramicia 35, 44121, Ferrara, Italy.,Public Health Department, AUSL Ferrara, Ferrara, Italy.,Healthy Living for Pandemic Event Protection (HL-PIVOT) Network, Chicago, IL, USA
| | - G Mazzoni
- Department of Neuroscience and Rehabilitation, Center for Exercise Science and Sports, University of Ferrara, via Gramicia 35, 44121, Ferrara, Italy.,Public Health Department, AUSL Ferrara, Ferrara, Italy
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Cardiometabolic Health Status, Ethnicity and Health-Related Quality of Life (HRQoL) Disparities in an Adult Population: NutrIMDEA Observational Web-Based Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19052948. [PMID: 35270641 PMCID: PMC8910247 DOI: 10.3390/ijerph19052948] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Revised: 02/25/2022] [Accepted: 02/25/2022] [Indexed: 12/24/2022]
Abstract
Precision public health supported on online tools is increasingly emerging as a potential strategy to achieve health promotion and disease prevention. Our aim was to assess the relationships of sociodemographic variables, anthropometric data, dietary habits and lifestyle factors with health-related quality of life (HRQoL), cardiometabolic health status and ethnicity in an online recruited adult population (NutrIMDEA Study). NutrIMDEA Study is a web-based cross-sectional survey that included 17,333 adults. Self-reported sociodemographic characteristics, anthropometric data, clinical and family history of cardiometabolic illnesses, dietary habits, lifestyle factors and HRQoL features were collected. Diseased individuals showed significative poorer MedDiet and worse HRQoL than those in the healthy cardiometabolic status group (p < 0.05). In comparison, European/Caucasian individuals reported a significantly better HRQoL, higher MedDiet and HRQoL values compared with those of other ethnicities (p < 0.05). We obtained a total of 16.8% who reported poor/fair, 56.5% good and 26.6% very good/excellent HRQoL. Respondents with very good/excellent HRQoL showed lower BMI, greater adherence to a Mediterranean diet (MedDiet) and higher physical activity. The results suggest the presence of interactions between the mental and physical components of HRQoL with obesity, sedentarism and dietary intake, which were dependent on disease status and ethnicity. Online HRQoL assessment could contribute to wider implementation of precision public health strategies to promote health targeted interventions with policy implications to community health promotion.
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Kang SJ, Kim BH, Lee H, Wang J. Association among cognitive function, physical fitness, and health status in older women. J Exerc Rehabil 2022; 18:34-42. [PMID: 35356139 PMCID: PMC8934614 DOI: 10.12965/jer.2142716.358] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2021] [Accepted: 01/16/2022] [Indexed: 11/22/2022] Open
Abstract
This study examined the association among cognitive function, physical fitness, and health status in healthy older women. Ninety-four females aged from 62 to 86 years (72.66±5.38 years) from community healthcare centers and an exercise club in Seoul, South Korea. Cognitive function was assessed using the Seoul Neuropsychological Screening Battery. Physical performance comprised cardiorespiratory endurance, lower extremity strength, active balance ability, and walking speed. Health status included blood pressure and waist circumference. Multiple linear regression analyses were performed to determine the relationship among cognitive function, fitness components, and health status, with age and educational attainment as covariates. In the unadjusted model, attention was significantly associated with cardiovascular endurance (B=0.19, P<0.05). Memory was significantly associated with lower limb strength (B=0.77, P<0.05) and active balance ability (B=2.35, P<0.05). In the adjusted model, attention was significantly associated with cardiovascular endurance (B=0.15, P<0.05). Memory was significantly associated with lower limb strength (B=0.87, P<0.05). In both models, cognitive function was not significantly associated with any health status variable. Though limited by a relatively small sample of female participants, who were healthy registrants of a community exercise program with normal cognitive function, the current study demonstrates that cognitive function is significantly associated with physical fitness, but not with health status, in healthy older women.
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Affiliation(s)
- Suh-Jung Kang
- Department of Sports and Health Care, College of Art and Culture, Sangmyung University, Seoul,
Korea
- Corresponding author: Suh-Jung Kang, Department of Sports and Health Care, College of Art and Culture, Sangmyung University, 20 Hongjimun 2-gil, Jongno-gu, Seoul 03016, Korea,
| | - Byung-Hoon Kim
- Sports Science Research Center, Sangmyung University, Seoul,
Korea
| | - Hyo Lee
- Department of Sports and Health Care, College of Art and Culture, Sangmyung University, Seoul,
Korea
| | - Jinsung Wang
- University of Wisconsin-Milwaukee, Milwaukee, WI,
USA
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27
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Nowak PF, Kuśnierz C, Bajkowski D. Quality of Life Determinants in Professional Athletes. Psychol Res Behav Manag 2022; 14:2221-2229. [PMID: 35002340 PMCID: PMC8722683 DOI: 10.2147/prbm.s336527] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2021] [Accepted: 12/04/2021] [Indexed: 11/30/2022] Open
Abstract
Background The study attempted to answer the question of whether the type of practiced sport (individual, team) is a determinant of quality of life in athletes. The study was also intended to identify the best quality of life determinants in professional karate practitioners and team sports players from among such socio-cultural factors as age, gender, marital status, material situation, level of education, and types of health behaviors. Methods The study involved 110 Polish players of team sports and 90 martial arts practitioners. All competitors had high sporting achievements. A Paper-and-Pen Interview questionnaire was used as a standardized survey method. The Inventory of Health Behaviors was used to evaluate respondents’ health behaviors. The Comprehensive Quality of Life Scale was used to measure the quality of life in its objective and subjective components. Results Among the predictors of quality of life, only three proved to be statistically significant: proper dietary habits (β = 0.204), positive mental attitude (β = 0.283) and athletes’ gender (β = 0.191). It turns out that men are statistically more likely to achieve a higher quality of life than women. The type of practiced sport did not turn out to be a quality of life determinant. Conclusion The type of practiced sport is not a significant quality of life predictor, perhaps because high-level sports activities are professional in nature, which makes the professional and sports activities uniform. The results of the study may suggest that the determinants of the quality of life of professional athletes are found in their personality rather than solely in their socio-cultural environment. Finally, studies of determinants of athletes’ quality of life can help develop optimal strategies for improving the quality of life in society in general; however, in-depth qualitative research also seems to be necessary to do it.
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Affiliation(s)
- Paweł F Nowak
- Faculty of Physical Education and Physiotherapy, Opole University of Technology, Opole, Poland
| | - Cezary Kuśnierz
- Faculty of Physical Education and Physiotherapy, Opole University of Technology, Opole, Poland
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Martínez-Urbistondo D, San-Cristóbal R, Villares P, Martínez-González MÁ, Babio N, Corella D, del Val JL, Ordovás JM, Alonso-Gómez ÁM, Wärnberg J, Vioque J, Romaguera D, López-Miranda J, Estruch R, Tinahones FJ, Lapetra J, Serra-Majem JL, Bueno-Cavanillas A, Tur JA, Marcos A, Pintó X, Delgado-Rodríguez M, Matía-Martín P, Vidal J, Vázquez C, Ros E, Bullón Vela MV, Palau A, Sorli JV, Masagué M, Abete I, Moreno-Rodríguez A, Candela-García I, Konieczna J, García-Ríos A, Juárez OL, Portolés O, Martín P, Goday A, Zulet MÁ, Vaquero-Luna J, Orea MDCS, Megías I, Baltasar E, Martínez JA, Daimiel L. Role of NAFLD on the Health Related QoL Response to Lifestyle in Patients With Metabolic Syndrome: The PREDIMED Plus Cohort. Front Endocrinol (Lausanne) 2022; 13:868795. [PMID: 35846291 PMCID: PMC9276971 DOI: 10.3389/fendo.2022.868795] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Accepted: 04/26/2022] [Indexed: 01/31/2023] Open
Abstract
OBJECTIVE To evaluate the effect of Non-alcoholic fatty liver disease (NAFLD) status in the impact of lifestyle over Health-related quality of life (HRQoL) in patients with metabolic syndrome (MetS). METHODS Baseline and 1 year follow up data from the PREDIMED-plus cohort (men and women, 55-75 years old with overweight/obesity and MetS) were studied. Adherence to an energy-restricted Mediterranean Diet (er-MeDiet) and Physical Activity (PA) were assessed with a validated screeners. Hepatic steatosis index (HSI) was implemented to evaluate NAFLD while the SF-36 questionnaire provided HRQoL evaluation. Statistical analyses were performed to evaluate the influence of baseline NAFLD on HRQoL as affected by lifestyle during 1 year of follow up. RESULTS Data from 5205 patients with mean age of 65 years and a 48% of female participants. Adjusted linear multivariate mixed regression models showed that patients with lower probability of NAFLD (HSI < 36 points) were more responsive to er-MeDiet (β 0.64 vs β 0.05 per er-MeDiet adherence point, p< 0.01) and PA (β 0.05 vs β 0.01 per MET-h/week, p = 0.001) than those with high probability for NAFLD in terms Physical SF-36 summary in the 1 year follow up. 10 points of er-MeDiet adherence and 50 MET-h/week were thresholds for a beneficial effect of lifestyle on HRQoL physical domain in patients with lower probability of NAFLD. CONCLUSION The evaluation of NAFLD by the HSI index in patients with MetS might identify subjects with different prospective sensitivity to lifestyle changes in terms of physical HRQoL (http://www.isrctn.com/ISRCTN89898870).
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Affiliation(s)
- Diego Martínez-Urbistondo
- Internal Medicine Department, Hospital HM Sanchinarro, HM Hospitales, Madrid, Spain
- *Correspondence: Diego Martínez-Urbistondo,
| | - Rodrigo San-Cristóbal
- Cardiometabolic Nutrition Group, Precision Nutrition and Cardiometabolic Health Program, Instituto Madrileño de Estudios Avanzados (IMDEA) Food, Centro de Excelencia en Investigación (CEI) Universidad Autónoma de Madrid (UAM) + Centro Superior de Investigaciones Científicas (CSIC), Madrid, Spain
| | - Paula Villares
- Internal Medicine Department, Hospital HM Sanchinarro, HM Hospitales, Madrid, Spain
| | - Miguel Ángel Martínez-González
- Department of Preventive Medicine and Public Health, University of Navarra, IdiSNA, Pamplona, Spain
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, United States
| | - Nancy Babio
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i biotecnologia, Unitat de Nutrició Humana, Reus, Spain
- Institut d’Investigació Sanitària Pere Virgili (IISPV), Hospital Universitari San Joan de Reus. Human Nutrition unit, Reus, Spain
| | - Dolores Corella
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - José Luis del Val
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Cardiovascular Risk and Nutrition Research Group (CARIN), Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - José Ma Ordovás
- Nutritional Genomics and Epigenomics Group, Precision Nutrition and Obesity Program. Instituto Madrileño de Estudios Avanzados (IMDEA) Food, Centro de Excelencia en Investigación (CEI) Universidad Autónoma de Madrid (UAM) + Centro Superior de Investigaciones Científicas (CSIC), Madrid, Spain
- Nutrition and Genomics Laboratory, Jean Mayer United States Department of Agriculture (JM_USDA) Human Nutrition Research Center on Aging, Tufts University, Boston, MA, United States
| | - Ángel M. Alonso-Gómez
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country Universidad del País Vasco/Euskal Herriko Unibertsitatea (UPV/EHU), Vitoria-Gasteiz, Spain
| | - Julia Wärnberg
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Nursing, School of Health Sciences, University of Málaga, Instituto de Investigación Biomédica de Málaga (IBIMA), Málaga, Spain
| | - Jesús Vioque
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Instituto de Investigación Sanitaria y Biomédica de Alicante. Universidad Miguel Hernández (ISABIAL-UMH), Alicante, Spain
| | - Dora Romaguera
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR). Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases (HUSE), Palma de Mallorca, Spain
| | - José López-Miranda
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Córdoba, Spain
| | - Ramon Estruch
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Internal Medicine, Instituto de Investigaciones Biomédicas August Pi i Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Francisco J. Tinahones
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Endocrinology, Instituto de Investigación Biomédica de Málaga (IBIMA), Virgen de la Victoria Hospital, University of Málaga, Málaga, Spain
| | - José Lapetra
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, Sevilla, Spain
| | - J. Luís Serra-Majem
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Research Institute of Biomedical and Health Sciences Instituto Universitario de Investigaciones Biomédicas y Sanitarias (IUIBS), University of Las Palmas de Gran Canaria, Preventive Medicine Service, Centro Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canarian Health Service, Las Palmas, Spain
| | - Aurora Bueno-Cavanillas
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain
| | - Josep A. Tur
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, Palma de Mallorca, Spain
| | - Alba Marcos
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Institute of Biomedicine (IBIOMED), University of León, León, Spain
| | - Xavier Pintó
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge, Hospitalet de Llobregat, Barcelona, Spain
| | - Miguel Delgado-Rodríguez
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
- Departamento de Ciencias de la Salud, Centro de Estudios Avanzados en Olivar y Aceites de Oliva, Universidad de Jaén, Jaén, Spain
| | - Pilar Matía-Martín
- Department of Endocrinology and Nutrition, Instituto de Investigación Sanitaria Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - Josep Vidal
- Biomedical Research Centre for Diabetes and Metabolic Diseases Network (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Endocrinology and Nutrition Service, Instituto de Investigaciones Biomédicas August Pi i Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - Clotilde Vázquez
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Endocrinology and Nutrition, Hospital Fundación Jimenez Díaz, Instituto de Investigaciones Biomédicas IISFJD. University Autónoma, Madrid, Spain
| | - Emilio Ros
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Endocrinology and Nutrition Service, Instituto de Investigaciones Biomédicas August Pi i Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | - María Vanessa Bullón Vela
- Department of Preventive Medicine and Public Health, University of Navarra, IdiSNA, Pamplona, Spain
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Antoni Palau
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i biotecnologia, Unitat de Nutrició Humana, Reus, Spain
- Institut d’Investigació Sanitària Pere Virgili (IISPV), Hospital Universitari San Joan de Reus. Human Nutrition unit, Reus, Spain
| | - Jose V. Sorli
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Marta Masagué
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Cardiovascular Risk and Nutrition Research Group (CARIN), Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - Itziar Abete
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Nutrition, Food Sciences and Physiology, University of Navarra, Pamplona, Spain
| | - Anai Moreno-Rodríguez
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country Universidad del País Vasco/Euskal Herriko Unibertsitatea (UPV/EHU), Vitoria-Gasteiz, Spain
| | | | - Jadwiga Konieczna
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Research Group on Nutritional Epidemiology & Cardiovascular Physiopathology (NUTRECOR). Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases (HUSE), Palma de Mallorca, Spain
| | - Antonio García-Ríos
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, Córdoba, Spain
| | - Oscar Lecea Juárez
- Department of Preventive Medicine and Public Health, University of Navarra, IdiSNA, Pamplona, Spain
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Olga Portolés
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Paco Martín
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i biotecnologia, Unitat de Nutrició Humana, Reus, Spain
- Institut d’Investigació Sanitària Pere Virgili (IISPV), Hospital Universitari San Joan de Reus. Human Nutrition unit, Reus, Spain
| | - Albert Goday
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Cardiovascular Risk and Nutrition Research Group (CARIN), Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
- Departament de Medicina, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - M Ángeles Zulet
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Nutrition, Food Sciences and Physiology, University of Navarra, Pamplona, Spain
| | - Jessica Vaquero-Luna
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country Universidad del País Vasco/Euskal Herriko Unibertsitatea (UPV/EHU), Vitoria-Gasteiz, Spain
| | - María del Carmen Sayón Orea
- Department of Preventive Medicine and Public Health, University of Navarra, IdiSNA, Pamplona, Spain
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Isabel Megías
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Universitat Rovira i Virgili, Departament de Bioquímica i biotecnologia, Unitat de Nutrició Humana, Reus, Spain
- Institut d’Investigació Sanitària Pere Virgili (IISPV), Hospital Universitari San Joan de Reus. Human Nutrition unit, Reus, Spain
| | - Enric Baltasar
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Cardiovascular Risk and Nutrition Research Group (CARIN), Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - J. Alfredo Martínez
- Cardiometabolic Nutrition Group, Precision Nutrition and Cardiometabolic Health Program, Instituto Madrileño de Estudios Avanzados (IMDEA) Food, Centro de Excelencia en Investigación (CEI) Universidad Autónoma de Madrid (UAM) + Centro Superior de Investigaciones Científicas (CSIC), Madrid, Spain
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
- Department of Nutrition, Food Sciences and Physiology, University of Navarra, Pamplona, Spain
| | - Lidia Daimiel
- Nutritional Control of the Epigenome Group. Precision Nutrition and Obesity Program. Instituto Madrileño de Estudios Avanzados (IMDEA) Food, Centro de Excelencia en Investigación (CEI) Universidad Autónoma de Madrid (UAM) + Centro Superior de Investigaciones Científicas (CSIC), Madrid, Spain
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Foong HF, Ibrahim R, Hamid TA, Haron SA. Social networks moderate the association between physical fitness and cognitive function among community-dwelling older adults: a population-based study. BMC Geriatr 2021; 21:679. [PMID: 34876024 PMCID: PMC8650559 DOI: 10.1186/s12877-021-02617-9] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2020] [Accepted: 11/10/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Physical fitness declines with age. Low levels of physical fitness appear to be a risk factor of cognitive impairment. Literature elucidates social networking as a potential moderator for the relationship between physical fitness and cognitive impairment. Present study aimed to examine the relationship between physical fitness and cognitive function among community-dwelling older Malaysians, and if social network moderates said relationship. METHODS Data of 2322 representative community-dwelling older adults were obtained from the first wave of the "Longitudinal Study on Neuroprotective Model for Healthy Longevity" national survey. Cognitive function, physical fitness and social network was assessed through Malay-version of Mini-Mental State Examination, 2-min step test and Lubben Social Network Scale-6 respectively. Moderated hierarchical multiple regression was employed to investigate if social networks moderate the relationship between physical fitness and cognitive function. RESULTS A positive association between physical fitness and cognitive function were found upon controlling for covariates. Moderated hierarchical multiple regression revealed social networks to be a moderator of the association between physical fitness and cognitive function. When physical fitness was low, those with small social network revealed lowest cognitive function. CONCLUSIONS Social networks moderated the relationship between physical fitness and cognitive function as older adults with low levels of physical fitness and small social networks revealed lowest cognitive function. Therefore, community support or peer-based interventions among physically unfit older adults should be implemented to promote cognitive function.
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Affiliation(s)
- Hui Foh Foong
- Malaysian Research Institute on Ageing (MyAgeing™), Universiti Putra Malaysia, 43400, Serdang, Selangor, Malaysia
| | - Rahimah Ibrahim
- Malaysian Research Institute on Ageing (MyAgeing™), Universiti Putra Malaysia, 43400, Serdang, Selangor, Malaysia. .,Department of Human Development and Family Studies, Faculty of Human Ecology, Universiti Putra Malaysia, 43400, Serdang, Selangor, Malaysia.
| | - Tengku Aizan Hamid
- Malaysian Research Institute on Ageing (MyAgeing™), Universiti Putra Malaysia, 43400, Serdang, Selangor, Malaysia
| | - Sharifah Azizah Haron
- Department of Resource Management and Consumer Studies, Faculty of Human Ecology, Universiti Putra Malaysia, 43400, Serdang, Selangor, Malaysia
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Interactions of Comorbidity and Five Simple Environmental Unhealthy Habits Concerning Physical and Mental Quality of Life in the Clinical Setting. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18189590. [PMID: 34574515 PMCID: PMC8467323 DOI: 10.3390/ijerph18189590] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Revised: 09/02/2021] [Accepted: 09/08/2021] [Indexed: 12/19/2022]
Abstract
The objective of this study was to examine the interactions between comorbidity and five lifestyle single habits concerning different subscales of quality of life (QoL). For the study, 302 patients were consecutively recruited at the internal medicine department of a tertiary teaching hospital. Lifestyle habits, comorbidities and QoL were recorded according to validated questionnaires. Five single unhealthy habits, such as tobacco consumption, dietary intake of ultra-processed pastries, raw nuts or carbonated drinks, sleep time and physical activity patterns were selected according to previously published data. The main outcomes of the study were the scores of the eight subscales of the SF-36 QoL survey. The aggregate of unhealthy habits showed statistically significant association to every category in the SF-36 questionnaire, both in the univariate and the multivariate analysis when adjusting by age, sex and comorbidity. An interaction was found between comorbidity and unhealthy habits in both physical and mental summaries of SF-36. In conclusion, the lifestyle assessment according to five unhealthy habits is associated with a worse QoL. The interaction between comorbidity and unhealthy habits is especially clear in diseased patients due to the interplay between illness and lifestyle in the prediction of QoL.
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Lepsy E, Radwańska E, Żurek G, Żurek A, Kaczorowska A, Radajewska A, Kołcz A. Association of physical fitness with quality of life in community-dwelling older adults aged 80 and over in Poland: a cross-sectional study. BMC Geriatr 2021; 21:491. [PMID: 34503463 PMCID: PMC8427892 DOI: 10.1186/s12877-021-02421-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2020] [Accepted: 08/19/2021] [Indexed: 01/04/2023] Open
Abstract
Background Aging is a progressive and irreversible process that negatively affects the quality of life (QOL). Older adults face difficulties related to worsening health, lowering the level of physical and mental efficiency. We aimed to analyze the associations between physical fitness and QOL in Polish older adults considering sex differences. Methods This cross-sectional study was performed from March to August 2015. The sample consisted of 100 community-dwelling adults (67 women, 33 men) with a mean age of 82.94 ± 2.67 years. The World Health Organization QOL, Short Form questionnaire (WHOQOL-BREF), and the Fullerton Functional Fitness Test (FFFT) were used. Biometric data, social and environmental situation, nutritional and lifestyle behaviors have been also collected using a questionnaire designed by the authors. Results The results obtained in individual domains of WHOWOL-BREF indicate a good level of QOL in all the examined domains. Statistically significant sex differences were obtained in physical (p = 0.01), psychological (p = 0.04) and environmental (p = 0.02) domains in WHOQOL-BREF. It was noted that men perform better in terms of the upper (arm curl, p < 0.001) and lower body strength (chair stand, p = 0.01), aerobic endurance (two-minute step test, p < 0.001), agility and dynamic balance (up and go test, p < 0.001) in FFFT. Conclusions Community-dwelling older adults aged 80–93 years in Poland present a good level of QOL, and the higher score was obtained in men. Also, men presented better physical fitness, showed a higher level of independence in daily activities, and assessed better their own QOL than women.
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Affiliation(s)
- Ewelina Lepsy
- Institute of Health Sciences, University of Opole, Opole, Poland
| | - Ewa Radwańska
- Institute of Health Sciences, University of Opole, Opole, Poland
| | - Grzegorz Żurek
- Department of Biostructure, University School of Physical Education, Wroclaw, Poland
| | - Alina Żurek
- Department of Clinical Psychology and Health, University of Wroclaw, Wroclaw, Poland
| | | | - Alina Radajewska
- Department of Physiotherapy, Krapkowice Health Centre, Krapkowice, Poland
| | - Anna Kołcz
- Laboratory of Ergonomics and Biomedical Monitoring, Wroclaw Medical University, Grunwaldzka 2, 50-355, Wroclaw, Poland.
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Soldevila-Domenech N, Forcano L, Vintró-Alcaraz C, Cuenca-Royo A, Pintó X, Jiménez-Murcia S, García-Gavilán JF, Nishi SK, Babio N, Gomis-González M, Corella D, Sorlí JV, Fernandez-Carrión R, Martínez-González MÁ, Marti A, Salas-Salvadó J, Castañer O, Fernández-Aranda F, Torre RDL. Interplay between cognition and weight reduction in individuals following a Mediterranean Diet: Three-year follow-up of the PREDIMED-Plus trial. Clin Nutr 2021; 40:5221-5237. [PMID: 34474192 DOI: 10.1016/j.clnu.2021.07.020] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Revised: 07/13/2021] [Accepted: 07/16/2021] [Indexed: 12/13/2022]
Abstract
BACKGROUND & AIMS Some cognitive profiles might facilitate successful weight loss and its maintenance. Also, weight reductions may result in cognitive benefits. However, little work to date has examined the interactions between cognition and weight changes in the context of interventions with the Mediterranean diet (MedDiet). We studied the within-subject longitudinal relationships between cognition, body mass index (BMI), physical activity (PA), and quality of life (QoL), in older adults following a MedDiet. METHODS The PREDIMED-Plus is a primary prevention trial testing the effect of a lifestyle intervention program with an energy-restricted MedDiet (er-MedDiet), weight-loss goals and PA promotion on cardiovascular disease. The PREDIMED-Plus-Cognition sub-study included 487 participants (50% women, mean age 65.2 ± 4.7 years), with overweight/obesity, metabolic syndrome and normal cognitive performance at baseline. A comprehensive neurocognitive test battery was administered at baseline and after 1 and 3 years. RESULTS Baseline higher performance in verbal memory (OR = 1.5; 95%CI 1.0, 2.1), visuoconstructive praxis and attention (OR = 1.5; 95%CI 0.9, 2.3), and inhibition (OR = 1.3; 95%CI 0.9, 1.9) were associated with a higher odd of achieving at least 8% weight loss after 3 years follow-up in participants randomized to the intervention group. There were moderate improvements in specific tests of memory and executive functions during follow-up. Higher adherence to the er-MedDiet was associated with greater improvements in memory. Women exhibited lower rates of change in global cognition, PA and QoL. Moreover, improvements in memory correlated with reductions in BMI after 1 year (βSTD = -0.14) and with improvements in PA after 3 years (βSTD = 0.13). Finally, participants who experienced greater improvements in executive functions and global cognition also experienced greater improvements in their QoL. CONCLUSIONS This study refines the understanding of the determinants and mutual interrelationships between longitudinally-assessed cognitive performance and weight loss, adding further evidence to the cognitive benefits associated with better adherence to a MedDiet. Our results also suggest that weight loss interventions tailored to the cognitive profile and gender of participants are promising avenues for future studies.
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Affiliation(s)
- Natalia Soldevila-Domenech
- Integrative Pharmacology and Systems Neurosciences Research Group, Neurosciences Research Program, Hospital Del Mar Medical Research Institute (IMIM), 08003, Barcelona, Spain; Department of Experimental and Health Sciences, Universitat Pompeu Fabra, 08003, Barcelona, Spain.
| | - Laura Forcano
- Integrative Pharmacology and Systems Neurosciences Research Group, Neurosciences Research Program, Hospital Del Mar Medical Research Institute (IMIM), 08003, Barcelona, Spain; CIBER Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, 28029, Madrid, Spain.
| | - Cristina Vintró-Alcaraz
- CIBER Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, 28029, Madrid, Spain; Department of Psychiatry, University Hospital of Bellvitge-IDIBELL, Barcelona, Spain; Psychiatry and Mental Health Group, Neuroscience Program, Institut D'Investigació Biomèdica de Bellvitge-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain.
| | - Aida Cuenca-Royo
- Integrative Pharmacology and Systems Neurosciences Research Group, Neurosciences Research Program, Hospital Del Mar Medical Research Institute (IMIM), 08003, Barcelona, Spain.
| | - Xavier Pintó
- CIBER Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, 28029, Madrid, Spain; Lipid Unit, Department of Internal Medicine, Bellvitge Biomedical Research Institute (IDIBELL)-Hospital Universitari de Bellvitge, L'Hospitalet de Llobregat, 08908, Barcelona, Spain.
| | - Susana Jiménez-Murcia
- CIBER Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, 28029, Madrid, Spain; Department of Psychiatry, University Hospital of Bellvitge-IDIBELL, Barcelona, Spain; Psychiatry and Mental Health Group, Neuroscience Program, Institut D'Investigació Biomèdica de Bellvitge-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain; Department of Clinical Sciences, School of Medicine and Health Sciences, University of Barcelona, Barcelona, Spain.
| | - Jesús F García-Gavilán
- CIBER Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, 28029, Madrid, Spain; Universitat Rovira I Virgili, Departament de Bioquímica I Biotecnologia, Unitat de Nutrició Humana, Reus, Spain; Institut D'Investigació Sanitària Pere Virgili (IISPV). Hospital Universitari San Joan de Reus, Reus, Spain.
| | - Stephanie K Nishi
- CIBER Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, 28029, Madrid, Spain; Universitat Rovira I Virgili, Departament de Bioquímica I Biotecnologia, Unitat de Nutrició Humana, Reus, Spain; Institut D'Investigació Sanitària Pere Virgili (IISPV). Hospital Universitari San Joan de Reus, Reus, Spain.
| | - Nancy Babio
- CIBER Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, 28029, Madrid, Spain; Universitat Rovira I Virgili, Departament de Bioquímica I Biotecnologia, Unitat de Nutrició Humana, Reus, Spain; Institut D'Investigació Sanitària Pere Virgili (IISPV). Hospital Universitari San Joan de Reus, Reus, Spain.
| | - Maria Gomis-González
- Integrative Pharmacology and Systems Neurosciences Research Group, Neurosciences Research Program, Hospital Del Mar Medical Research Institute (IMIM), 08003, Barcelona, Spain.
| | - Dolores Corella
- CIBER Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, 28029, Madrid, Spain; Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010, Valencia, Spain.
| | - Jose V Sorlí
- CIBER Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, 28029, Madrid, Spain; Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010, Valencia, Spain.
| | - Rebeca Fernandez-Carrión
- CIBER Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, 28029, Madrid, Spain; Department of Preventive Medicine and Public Health, School of Medicine, University of Valencia, 46010, Valencia, Spain.
| | - Miguel Ángel Martínez-González
- CIBER Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, 28029, Madrid, Spain; University of Navarra, Department of Preventive Medicine and Public Health, Pamplona, Spain; Navarra's Health Research Institute (IdiSNA), Pamplona, Spain; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
| | - Amelia Marti
- CIBER Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, 28029, Madrid, Spain; Navarra's Health Research Institute (IdiSNA), Pamplona, Spain; University of Navarra, Department of Nutrition, Food Sciences and Physiology, Pamplona, Spain.
| | - Jordi Salas-Salvadó
- CIBER Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, 28029, Madrid, Spain; Universitat Rovira I Virgili, Departament de Bioquímica I Biotecnologia, Unitat de Nutrició Humana, Reus, Spain; Institut D'Investigació Sanitària Pere Virgili (IISPV). Hospital Universitari San Joan de Reus, Reus, Spain.
| | - Olga Castañer
- CIBER Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, 28029, Madrid, Spain; Cardiovascular Risk and Nutrition Research Group, Hospital Del Mar Medical Research Institute (IMIM), 08003, Barcelona, Spain; Endocrinology Service. Institut Hospital Del Mar D'Investigacions Mèdiques (IMIM), 08003, Barcelona, Spain.
| | - Fernando Fernández-Aranda
- CIBER Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, 28029, Madrid, Spain; Department of Psychiatry, University Hospital of Bellvitge-IDIBELL, Barcelona, Spain; Psychiatry and Mental Health Group, Neuroscience Program, Institut D'Investigació Biomèdica de Bellvitge-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain; Department of Clinical Sciences, School of Medicine and Health Sciences, University of Barcelona, Barcelona, Spain.
| | - Rafael de la Torre
- Integrative Pharmacology and Systems Neurosciences Research Group, Neurosciences Research Program, Hospital Del Mar Medical Research Institute (IMIM), 08003, Barcelona, Spain; Department of Experimental and Health Sciences, Universitat Pompeu Fabra, 08003, Barcelona, Spain; CIBER Fisiopatología Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III, 28029, Madrid, Spain.
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Kang M, Lee I, Hong H, Kim J, Kang H. Predictors of Changes in Cognitive Function in Older Korean Adults: The 2006-2018 Korean Longitudinal Study of Aging. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18126345. [PMID: 34208163 PMCID: PMC8296181 DOI: 10.3390/ijerph18126345] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Revised: 06/05/2021] [Accepted: 06/10/2021] [Indexed: 12/24/2022]
Abstract
Cognitive decline with normal aging varies widely among individuals. This study aimed to investigate predictors of longitudinal changes in cognitive function in community-dwelling Korean adults aged 65 years and older. Data from 727 older adults who participated in the Korean Longitudinal Study of Aging (KLoSA) survey from 2006 (baseline) until 2018 (seventh wave) were used. Cognitive performance was assessed with the Korean Mini-Mental State Examination. The participants were retrospectively classified into normal cognition, mild cognitive impairment, and moderate/severe cognitive impairment. Education, income, religion, living area, alcohol intake, smoking, physical activity, handgrip strength, functional dependency, depression, comorbidity, medications, fall experience, and unintentional weight loss were included as covariates. A linear mixed regression analysis showed that a steeper decline in cognitive function over time was significantly associated with parameters of poor socio-economic status, health conditions, and unhealthy behaviors. Individuals with mild cognitive impairment or moderate/severe cognitive impairment were likely to have steeper cognitive declines compared with individuals with normal cognition. The current findings of the study showed that age-related cognitive decline was multifactorial in older Korean adults.
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The Effect of Lifestyle Intervention on Health-Related Quality of Life in Adults with Metabolic Syndrome: A Meta-Analysis. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18030887. [PMID: 33498570 PMCID: PMC7908372 DOI: 10.3390/ijerph18030887] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/27/2020] [Revised: 01/15/2021] [Accepted: 01/15/2021] [Indexed: 01/22/2023]
Abstract
The aim of this meta-analysis was to assess the effects of a lifestyle intervention through health education on nutrition, physical activity, and healthy habits on physical and mental health-related quality of life (HRQoL), in adults with metabolic syndrome (MetS). The databases used were PubMed, WOS, and Scopus. The inclusion criteria were: observational, longitudinal and randomized clinical trial (RCT) study designs, adults (both sexes), with at least two criteria of MetS, lifestyle intervention and comparison with a control group, and a measurement of HRQoL with a validated questionnaire. We analyzed the Hedges’ g and SF-36 score. I2 statistics were calculated and possible publication and small study biases were assessed using Egger’s test and funnel plots. Seven RCTs were selected for meta-analysis, based on 637 study participants. Significant improvements were found in the physical dimensions of the HRQoL scores for subjects in the active intervention compared to the group that received general lifestyle information (Hedges’ g 0.61, 95% confidence interval (CI) = 0.31–0.91). Mental health-related quality of life was also significantly improved in the intervention group compared with the control group (Hedges’ g 0.84, 95% CI = 0.64–1.03). In conclusion, our results suggest that, according to the RCTs selected for this meta-analysis, a lifestyle intervention significantly improves HRQoL in all its domains.
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Role for Physical Fitness in the Association between Age and Cognitive Function in Older Adults: A Mediation Analysis of the SABE Colombia Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18020751. [PMID: 33477293 PMCID: PMC7829928 DOI: 10.3390/ijerph18020751] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Revised: 01/13/2021] [Accepted: 01/14/2021] [Indexed: 12/17/2022]
Abstract
Objectives. We investigated the association between physical fitness and cognitive status. Further, we examined whether physical fitness mediates the association between cognitive functioning and aging. Design. Cross-sectional study. Setting. Urban and rural Colombian older adults. Methods. 4416 participants from the SABE study were included in the current analysis. Physical fitness was assessed with the handgrip test and the usual gait speed test. Cognitive status was evaluated through the Folstein Mini-Mental State Examination. A parallel mediation path was used to test the possible mediator role of physical fitness between aging and cognitive functioning. Results. Older adults with lower handgrip strength (HGS) were more likely to have mild-cognitive status than older adults with healthy HGS (OR = 1.53, 95% CI = 1.15; 2.02). In addition, older adults with a slower gait speed were more likely to have mild cognitive impairment (OR = 2.05, 95% CI = 1.54; 2.78). Age had an inverse relationship with cognitive function (β = −0.110, 95% CI = −0.130; −0.100) and it was also inversely associated with HGS (β = −0.003, 95% CI = −0.005; −0.002) and gait speed (β = −0.010, 95% CI = −0.011; −0.009). The indirect effects, which indicate that the effect of age on cognitive function is transmitted through mediators, showed that both gait speed (β = −0.028, 95% CI = −0.036; −0.020) and HGS (β = −0.014, 95% CI = −0.024; −0.005) were independent mediators of the detrimental effect of aging on cognitive function. Conclusions. Physical fitness mediates the effects of aging on cognitive functioning. Our findings suggest that physical activity can be a key factor to prevent cognitive deterioration during aging process.
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Suh M. [Influences of Autonomic Function, Salivary Cortisol and Physical Activity on Cognitive Functions in Institutionalized Older Adults with Mild Cognitive Impairment: Based on Neurovisceral Integration Model]. J Korean Acad Nurs 2021; 51:294-304. [PMID: 34215708 DOI: 10.4040/jkan.20282] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2020] [Revised: 05/07/2021] [Accepted: 05/11/2021] [Indexed: 11/09/2022]
Abstract
PURPOSE This study aimed to investigate objectively measured physical activity (PA) in institutionalized older adults with mild cognitive impairment (MCI) and to elucidate the influence of autonomic nervous function, salivary cortisol, and PA on cognitive functions based on neurovisceral integration model. METHODS Overall cognitive function was evaluated using the mini-mental state examination (MMSE) and executive function was evaluated using semantic verbal fluency test and clock drawing test. Actigraph for PA, HRV and sAA for autonomous function, and the geriatric depression scale for depression were used. Saliva specimens were collected in the morning for sAA and cortisol. RESULTS Ninety-eight older adults from four regional geriatric hospitals participated in the study. They took 4,499 steps per day on average. They spent 753.93 minutes and 23.12 minutes on average in sedentary and moderate-to-vigorous activity, respectively. In the multiple regression analysis, lower salivary cortisol level (β = - .33, p = .041) and greater step counts (β = .37, p = .029) significantly improved MMSE score. Greater step count (β = .27, p = .016) also exerted a significant influence on verbal fluency, and greater sAA (β = .35, p = .026) was significantly associated with a better clock drawing test result. CONCLUSION Salivary cortisol, sAA and physical activity were significantly associated with cognitive functions. To prevent older adults from developing dementia, strategies are needed to increase their overall PA amount by decreasing sedentary time and to decrease salivary cortisol for cognitive function, and to maintain their sympathetic nervous activity for executive function.
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Affiliation(s)
- Minhee Suh
- Department of Nursing, College of Medicine, Inha University, Incheon, Korea.
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Ventriglio A, Sancassiani F, Contu MP, Latorre M, Di Slavatore M, Fornaro M, Bhugra D. Mediterranean Diet and its Benefits on Health and Mental Health: A Literature Review. Clin Pract Epidemiol Ment Health 2020; 16:156-164. [PMID: 33029192 PMCID: PMC7536728 DOI: 10.2174/1745017902016010156] [Citation(s) in RCA: 70] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2020] [Revised: 06/04/2020] [Accepted: 06/06/2020] [Indexed: 12/26/2022]
Abstract
Mediterranean Diet (MD) is currently considered one of the most healthy dietary models worldwide. It is generally based on the daily intake of fruit and vegetables, whole grains, legumes, nuts, fish, white meats, and olive oil. It may also include moderate consumption of fermented dairy products, a low intake of red meat, and red/white wine during the main course. Even if the effect of MD on cancer prevention as well as on human metabolic and cardiovascular balance has been discussed, including the quality of life of the exposed population, the putative effects on mental health are still not properly investigated. This narrative review reports on some emerging pieces of evidence on the possible impact of MD on general health and the outcome of psychiatric disorders (e.g., major depression, anxiety) and encourages further studies to test the benefits of healthy food selection on the health of the general population.
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Affiliation(s)
- Antonio Ventriglio
- Department of Clinical and Experimental Medicine, University of Foggia, Foggia, Italy
| | - Federica Sancassiani
- Dipartimento di Scienze Mediche e Sanità Pubblica, Università degli Studi di Cagliari, Cagliari, Italy
| | - Maria Paola Contu
- Dipartimento di Scienze Chirurgiche, Università degli Studi di Cagliari, Cagliari, Italy
| | - Mariateresa Latorre
- Department of Clinical and Experimental Medicine, University of Foggia, Foggia, Italy
| | - Melanie Di Slavatore
- Department of Clinical and Experimental Medicine, University of Foggia, Foggia, Italy
| | - Michele Fornaro
- Department of Neuroscience, Reproductive Science and Odontostomatology, School of Medicine 'Federico II' Naples, Naples, Italy
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Association of Physical Fitness with Intelligence and Academic Achievement in Adolescents. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17124362. [PMID: 32570741 PMCID: PMC7344740 DOI: 10.3390/ijerph17124362] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/09/2020] [Revised: 06/11/2020] [Accepted: 06/15/2020] [Indexed: 12/28/2022]
Abstract
Physical fitness, intelligence and academic achievement are being studied from a multidisciplinary perspective. In this line, studies to advance our understanding of intelligence and academic achievement could be relevant for designing school-based programs. Our study analyzed the relationship between components of physical fitness including cardiorespiratory fitness, muscular strength and flexibility and general intelligence and academic achievement in adolescents. We recruited 403 adolescents (53.6% boys) with a mean age of 13.7 ± 1.2 years from a secondary school in Spain with a medium socioeconomic status, during the 2015/2016 school year. Cardiorespiratory fitness was assessed by the 20-m shuttle run, muscular strength with the standing long jump test and flexibility with the sit-and-reach test. General intelligence was measured by both the D48 and the Raven tests. School grades were used to determine academic achievement. Linear regression analyses showed that cardiorespiratory fitness was positively associated with intelligence in both the D48 (all β ≥ 0.184, p ≤ 0.016) and the Raven tests (all β ≥ 0.183, p ≤ 0.024). Muscular strength, flexibility and overall fitness were not associated with intelligence (all β ≤ 0.122, p ≥ 0.139). Cardiorespiratory fitness, muscular strength and flexibility were positively associated with academic achievement (all β ≥ 0.089, p ≤ 0.038), except muscular strength, which was not significantly associated with Spanish language or mathematics, (all β ≤ 0.050, p ≥ 0.200). Overall, cardiorespiratory fitness was positively associated with intelligence and academic achievement.
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Marcos-Delgado A, Fernández-Villa T, Martínez-González MÁ, Salas-Salvadó J, Corella D, Castañer O, Martínez JA, Alonso-Gómez ÁM, Wärnberg J, Vioque J, Romaguera D, López-Miranda J, Estruch R, Tinahones FJ, Lapetra J, Serra-Majem JLL, García-Molina L, Tur JA, de Paz JA, Pintó X, Delgado-Rodríguez M, Matía-Martín P, Vidal J, Vázquez C, Daimiel L, Ros E, Babio N, Gimenez-Alba IM, Toledo E, Zomeño MD, Zulet MA, Vaquero-Luna J, Pérez-López J, Pastor-Morel A, Galmes-Panades AM, García-Rios A, Casas R, Bernal-López MR, Santos-Lozano JM, Becerra-Tomás N, Ortega-Azorin C, Vázquez-Ruiz Z, Pérez-Vega KA, Abete I, Sorto-Sánchez C, Palau-Galindo A, Galilea-Zabalza I, Muñoz-Martínez J, Martín V. The Effect of Physical Activity and High Body Mass Index on Health-Related Quality of Life in Individuals with Metabolic Syndrome. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:E3728. [PMID: 32466190 PMCID: PMC7277554 DOI: 10.3390/ijerph17103728] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/12/2020] [Revised: 05/11/2020] [Accepted: 05/21/2020] [Indexed: 12/13/2022]
Abstract
The main objective of this study was to examine the relationship between the level of physical activity (PA) and the degree of obesity with health-related quality of life (HRQoL) in individuals with metabolic syndrome (MetS) who participated in the Predimed-Plus study. A total of 6875 subjects between 55 and 75 years of age with MetS were selected and randomized in 23 Spanish centers. Subjects were classified according to categories of body mass index (BMI). PA was measured with the validated Registre Gironí del Cor (REGICOR) questionnaire and subjects were classified according to their PA level (light, moderate, vigorous) and the HRQoL was measured with the validated short-form 36 (SF-36) questionnaire. By using the ANOVA model, we found a positive and statistically significant association between the level of PA and the HRQoL (aggregated physical and mental dimensions p < 0.001), but a negative association with higher BMI in aggregated physical dimensions p < 0.001. Furthermore, women obtained lower scores compared with men, more five points in all fields of SF-36. Therefore, it is essential to promote PA and body weight control from primary care consultations to improve HRQoL, paying special attention to the differences that sex incurs.
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Affiliation(s)
- Alba Marcos-Delgado
- Institute of Biomedicine (IBIOMED), University of León, 24071 León, Spain; (A.M.-D.); (J.A.d.P.); (V.M.)
| | - Tania Fernández-Villa
- Institute of Biomedicine (IBIOMED), University of León, 24071 León, Spain; (A.M.-D.); (J.A.d.P.); (V.M.)
| | - Miguel Ángel Martínez-González
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28040 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (J.A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (J.L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (N.B.); (I.M.G.-A.); (E.T.); (J.P.-L.); (A.M.G.-P.); (A.G.-R.); (R.C.); (M.R.B.-L.); (J.M.S.-L.); (N.B.-T.); (C.O.-A.); (Z.V.-R.); (A.P.-G.); (I.G.-Z.)
- Department of Preventive Medicine and Public Health, IdiSNA, University of Navarra, 31008 Pamplona, Spain
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Jordi Salas-Salvadó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28040 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (J.A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (J.L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (N.B.); (I.M.G.-A.); (E.T.); (J.P.-L.); (A.M.G.-P.); (A.G.-R.); (R.C.); (M.R.B.-L.); (J.M.S.-L.); (N.B.-T.); (C.O.-A.); (Z.V.-R.); (A.P.-G.); (I.G.-Z.)
- Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, Universitat Rovira i Virgili, 43201 Reus, Spain
- Nutrition Unit, University Hospital of Sant Joan de Reus, 43204 Reus, Spain
- Institut d’Investigació Sanitària Pere Virgili (IISPV), 43204 Reus, Spain
| | - Dolores Corella
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28040 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (J.A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (J.L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (N.B.); (I.M.G.-A.); (E.T.); (J.P.-L.); (A.M.G.-P.); (A.G.-R.); (R.C.); (M.R.B.-L.); (J.M.S.-L.); (N.B.-T.); (C.O.-A.); (Z.V.-R.); (A.P.-G.); (I.G.-Z.)
- Department of Preventive Medicine, University of Valencia, 46010 Valencia, Spain
| | - Olga Castañer
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28040 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (J.A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (J.L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (N.B.); (I.M.G.-A.); (E.T.); (J.P.-L.); (A.M.G.-P.); (A.G.-R.); (R.C.); (M.R.B.-L.); (J.M.S.-L.); (N.B.-T.); (C.O.-A.); (Z.V.-R.); (A.P.-G.); (I.G.-Z.)
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d’Investigació Médica (IMIM), 08003 Barcelona, Spain; (M.D.Z.); (K.A.P.-V.); (J.M.-M.)
| | - J. Alfredo Martínez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28040 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (J.A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (J.L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (N.B.); (I.M.G.-A.); (E.T.); (J.P.-L.); (A.M.G.-P.); (A.G.-R.); (R.C.); (M.R.B.-L.); (J.M.S.-L.); (N.B.-T.); (C.O.-A.); (Z.V.-R.); (A.P.-G.); (I.G.-Z.)
- Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, 31009 Pamplona, Spain; (M.A.Z.); (I.A.)
- Precision Nutrition and Cardiometabolic Health Program, IMDEA Food, CEI UAM + CSIC, 28049 Madrid, Spain
| | - Ángel M. Alonso-Gómez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28040 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (J.A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (J.L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (N.B.); (I.M.G.-A.); (E.T.); (J.P.-L.); (A.M.G.-P.); (A.G.-R.); (R.C.); (M.R.B.-L.); (J.M.S.-L.); (N.B.-T.); (C.O.-A.); (Z.V.-R.); (A.P.-G.); (I.G.-Z.)
- Bioaraba Health Research Institute, Cardiovascular, Respiratory and Metabolic Area, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, 48940 Vitoria-Gasteiz, Spain; (J.V.-L.); (C.S.-S.)
| | - Julia Wärnberg
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28040 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (J.A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (J.L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (N.B.); (I.M.G.-A.); (E.T.); (J.P.-L.); (A.M.G.-P.); (A.G.-R.); (R.C.); (M.R.B.-L.); (J.M.S.-L.); (N.B.-T.); (C.O.-A.); (Z.V.-R.); (A.P.-G.); (I.G.-Z.)
- Department of Nursing, Institute of Biomedical Research in Malaga (IBIMA), University of Málaga, 29010 Málaga, Spain
| | - Jesús Vioque
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain; (J.V.); (L.G.-M.)
- Instituto de Investigación Sanitaria y Biomédica de Alicante, ISABIAL, 03010 Alicante, Spain
| | - Dora Romaguera
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28040 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (J.A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (J.L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (N.B.); (I.M.G.-A.); (E.T.); (J.P.-L.); (A.M.G.-P.); (A.G.-R.); (R.C.); (M.R.B.-L.); (J.M.S.-L.); (N.B.-T.); (C.O.-A.); (Z.V.-R.); (A.P.-G.); (I.G.-Z.)
- Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases, 07120 Palma de Mallorca, Spain
| | - José López-Miranda
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28040 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (J.A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (J.L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (N.B.); (I.M.G.-A.); (E.T.); (J.P.-L.); (A.M.G.-P.); (A.G.-R.); (R.C.); (M.R.B.-L.); (J.M.S.-L.); (N.B.-T.); (C.O.-A.); (Z.V.-R.); (A.P.-G.); (I.G.-Z.)
- Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, 14004 Cordoba, Spain
| | - Ramon Estruch
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28040 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (J.A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (J.L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (N.B.); (I.M.G.-A.); (E.T.); (J.P.-L.); (A.M.G.-P.); (A.G.-R.); (R.C.); (M.R.B.-L.); (J.M.S.-L.); (N.B.-T.); (C.O.-A.); (Z.V.-R.); (A.P.-G.); (I.G.-Z.)
- Department of Internal Medicine, Institut d’Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, 08036 Barcelona, Spain
| | - Francisco J Tinahones
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28040 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (J.A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (J.L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (N.B.); (I.M.G.-A.); (E.T.); (J.P.-L.); (A.M.G.-P.); (A.G.-R.); (R.C.); (M.R.B.-L.); (J.M.S.-L.); (N.B.-T.); (C.O.-A.); (Z.V.-R.); (A.P.-G.); (I.G.-Z.)
- Virgen de la Victoria Hospital, Department of Endocrinology, Instituto de Investigación Biomédica de Málaga (IBIMA), University of Málaga, 29010 Málaga, Spain
| | - José Lapetra
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28040 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (J.A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (J.L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (N.B.); (I.M.G.-A.); (E.T.); (J.P.-L.); (A.M.G.-P.); (A.G.-R.); (R.C.); (M.R.B.-L.); (J.M.S.-L.); (N.B.-T.); (C.O.-A.); (Z.V.-R.); (A.P.-G.); (I.G.-Z.)
- Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, 29009 Sevilla, Spain
| | - J. LLuís Serra-Majem
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28040 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (J.A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (J.L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (N.B.); (I.M.G.-A.); (E.T.); (J.P.-L.); (A.M.G.-P.); (A.G.-R.); (R.C.); (M.R.B.-L.); (J.M.S.-L.); (N.B.-T.); (C.O.-A.); (Z.V.-R.); (A.P.-G.); (I.G.-Z.)
- Research Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria & Centro Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canarian Health Service, 35016 Las Palmas de Gran Canaria, Spain
| | - Laura García-Molina
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain; (J.V.); (L.G.-M.)
- Department of Preventive Medicine and Public Health, University of Granada, 18010 Granada, Spain
| | - Josep A. Tur
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28040 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (J.A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (J.L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (N.B.); (I.M.G.-A.); (E.T.); (J.P.-L.); (A.M.G.-P.); (A.G.-R.); (R.C.); (M.R.B.-L.); (J.M.S.-L.); (N.B.-T.); (C.O.-A.); (Z.V.-R.); (A.P.-G.); (I.G.-Z.)
- Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases, 07120 Palma de Mallorca, Spain
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, 07122 Palma de Mallorca, Spain
| | - José Antonio de Paz
- Institute of Biomedicine (IBIOMED), University of León, 24071 León, Spain; (A.M.-D.); (J.A.d.P.); (V.M.)
| | - Xavier Pintó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28040 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (J.A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (J.L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (N.B.); (I.M.G.-A.); (E.T.); (J.P.-L.); (A.M.G.-P.); (A.G.-R.); (R.C.); (M.R.B.-L.); (J.M.S.-L.); (N.B.-T.); (C.O.-A.); (Z.V.-R.); (A.P.-G.); (I.G.-Z.)
- Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge, Hospitalet de Llobregat, 08907 Barcelona, Spain
| | - Miguel Delgado-Rodríguez
- Nutritional Genomics and Epigenomics Group, IMDEA Food, CEI UAM + CSIC, 28049 Madrid, Spain;
- Division of Preventive Medicine, Faculty of Medicine, University of Jaén, 23071 Jaén, Spain
| | - Pilar Matía-Martín
- Department of Endocrinology and Nutrition, Instituto de Investigación Sanitaria Hospital Clínico San Carlos (IdISSC), 28040 Madrid, Spain;
| | - Josep Vidal
- CIBER Diabetes y Enfermedades Metabólicas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain;
- Department of Endocrinology, Institut d’Investigacions Biomédiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, 08036 Barcelona, Spain
| | - Clotilde Vázquez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28040 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (J.A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (J.L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (N.B.); (I.M.G.-A.); (E.T.); (J.P.-L.); (A.M.G.-P.); (A.G.-R.); (R.C.); (M.R.B.-L.); (J.M.S.-L.); (N.B.-T.); (C.O.-A.); (Z.V.-R.); (A.P.-G.); (I.G.-Z.)
- Department of Endocrinology and Nutrition, Hospital Fundación Jimenez Díaz, Instituto de Investigaciones Biomédicas IISFJD, University Autonoma, 28040 Madrid, Spain
| | - Lidia Daimiel
- Nutritional Control of the Epigenome Group, Precision Nutrition and Obesity Program, IMDEA Food, CEI UAM + CSIC, 28049 Madrid, Spain;
| | - Emilio Ros
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28040 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (J.A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (J.L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (N.B.); (I.M.G.-A.); (E.T.); (J.P.-L.); (A.M.G.-P.); (A.G.-R.); (R.C.); (M.R.B.-L.); (J.M.S.-L.); (N.B.-T.); (C.O.-A.); (Z.V.-R.); (A.P.-G.); (I.G.-Z.)
- Lipid Clinic, Department of Endocrinology and Nutrition, Institut d’Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, 08036 Barcelona, Spain
| | - Nancy Babio
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28040 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (J.A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (J.L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (N.B.); (I.M.G.-A.); (E.T.); (J.P.-L.); (A.M.G.-P.); (A.G.-R.); (R.C.); (M.R.B.-L.); (J.M.S.-L.); (N.B.-T.); (C.O.-A.); (Z.V.-R.); (A.P.-G.); (I.G.-Z.)
- Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, Universitat Rovira i Virgili, 43201 Reus, Spain
- Institut d’Investigació Sanitària Pere Virgili (IISPV), 43204 Reus, Spain
| | - Ignacio M Gimenez-Alba
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28040 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (J.A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (J.L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (N.B.); (I.M.G.-A.); (E.T.); (J.P.-L.); (A.M.G.-P.); (A.G.-R.); (R.C.); (M.R.B.-L.); (J.M.S.-L.); (N.B.-T.); (C.O.-A.); (Z.V.-R.); (A.P.-G.); (I.G.-Z.)
- Department of Preventive Medicine, University of Valencia, 46010 Valencia, Spain
| | - Estefanía Toledo
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28040 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (J.A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (J.L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (N.B.); (I.M.G.-A.); (E.T.); (J.P.-L.); (A.M.G.-P.); (A.G.-R.); (R.C.); (M.R.B.-L.); (J.M.S.-L.); (N.B.-T.); (C.O.-A.); (Z.V.-R.); (A.P.-G.); (I.G.-Z.)
- Department of Preventive Medicine and Public Health, IdiSNA, University of Navarra, 31008 Pamplona, Spain
| | - María Dolores Zomeño
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d’Investigació Médica (IMIM), 08003 Barcelona, Spain; (M.D.Z.); (K.A.P.-V.); (J.M.-M.)
| | - M. A. Zulet
- Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, 31009 Pamplona, Spain; (M.A.Z.); (I.A.)
| | - Jessica Vaquero-Luna
- Bioaraba Health Research Institute, Cardiovascular, Respiratory and Metabolic Area, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, 48940 Vitoria-Gasteiz, Spain; (J.V.-L.); (C.S.-S.)
| | - Jessica Pérez-López
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28040 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (J.A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (J.L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (N.B.); (I.M.G.-A.); (E.T.); (J.P.-L.); (A.M.G.-P.); (A.G.-R.); (R.C.); (M.R.B.-L.); (J.M.S.-L.); (N.B.-T.); (C.O.-A.); (Z.V.-R.); (A.P.-G.); (I.G.-Z.)
- Department of Nursing, Institute of Biomedical Research in Malaga (IBIMA), University of Málaga, 29010 Málaga, Spain
| | | | - Aina M Galmes-Panades
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28040 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (J.A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (J.L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (N.B.); (I.M.G.-A.); (E.T.); (J.P.-L.); (A.M.G.-P.); (A.G.-R.); (R.C.); (M.R.B.-L.); (J.M.S.-L.); (N.B.-T.); (C.O.-A.); (Z.V.-R.); (A.P.-G.); (I.G.-Z.)
- Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases, 07120 Palma de Mallorca, Spain
| | - Antonio García-Rios
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28040 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (J.A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (J.L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (N.B.); (I.M.G.-A.); (E.T.); (J.P.-L.); (A.M.G.-P.); (A.G.-R.); (R.C.); (M.R.B.-L.); (J.M.S.-L.); (N.B.-T.); (C.O.-A.); (Z.V.-R.); (A.P.-G.); (I.G.-Z.)
- Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, 14004 Cordoba, Spain
| | - Rosa Casas
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28040 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (J.A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (J.L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (N.B.); (I.M.G.-A.); (E.T.); (J.P.-L.); (A.M.G.-P.); (A.G.-R.); (R.C.); (M.R.B.-L.); (J.M.S.-L.); (N.B.-T.); (C.O.-A.); (Z.V.-R.); (A.P.-G.); (I.G.-Z.)
- Department of Internal Medicine, Institut d’Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, 08036 Barcelona, Spain
| | - María Rosa Bernal-López
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28040 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (J.A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (J.L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (N.B.); (I.M.G.-A.); (E.T.); (J.P.-L.); (A.M.G.-P.); (A.G.-R.); (R.C.); (M.R.B.-L.); (J.M.S.-L.); (N.B.-T.); (C.O.-A.); (Z.V.-R.); (A.P.-G.); (I.G.-Z.)
- Departament of Internal Medicine, Regional University Hospital of Malaga, Instituto de Investigación Biomédica de Málaga (IBIMA), 29010 Málaga, Spain
| | - José Manuel Santos-Lozano
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28040 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (J.A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (J.L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (N.B.); (I.M.G.-A.); (E.T.); (J.P.-L.); (A.M.G.-P.); (A.G.-R.); (R.C.); (M.R.B.-L.); (J.M.S.-L.); (N.B.-T.); (C.O.-A.); (Z.V.-R.); (A.P.-G.); (I.G.-Z.)
- Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, 29009 Sevilla, Spain
| | - Nerea Becerra-Tomás
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28040 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (J.A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (J.L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (N.B.); (I.M.G.-A.); (E.T.); (J.P.-L.); (A.M.G.-P.); (A.G.-R.); (R.C.); (M.R.B.-L.); (J.M.S.-L.); (N.B.-T.); (C.O.-A.); (Z.V.-R.); (A.P.-G.); (I.G.-Z.)
- Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, Universitat Rovira i Virgili, 43201 Reus, Spain
- Institut d’Investigació Sanitària Pere Virgili (IISPV), 43204 Reus, Spain
- Department of Preventive Medicine, University of Valencia, 46010 Valencia, Spain
| | - Carolina Ortega-Azorin
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28040 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (J.A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (J.L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (N.B.); (I.M.G.-A.); (E.T.); (J.P.-L.); (A.M.G.-P.); (A.G.-R.); (R.C.); (M.R.B.-L.); (J.M.S.-L.); (N.B.-T.); (C.O.-A.); (Z.V.-R.); (A.P.-G.); (I.G.-Z.)
- Department of Preventive Medicine, University of Valencia, 46010 Valencia, Spain
| | - Zenaida Vázquez-Ruiz
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28040 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (J.A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (J.L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (N.B.); (I.M.G.-A.); (E.T.); (J.P.-L.); (A.M.G.-P.); (A.G.-R.); (R.C.); (M.R.B.-L.); (J.M.S.-L.); (N.B.-T.); (C.O.-A.); (Z.V.-R.); (A.P.-G.); (I.G.-Z.)
- Department of Preventive Medicine and Public Health, IdiSNA, University of Navarra, 31008 Pamplona, Spain
| | - Karla Alejandra Pérez-Vega
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d’Investigació Médica (IMIM), 08003 Barcelona, Spain; (M.D.Z.); (K.A.P.-V.); (J.M.-M.)
| | - Itziar Abete
- Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, 31009 Pamplona, Spain; (M.A.Z.); (I.A.)
| | - Carolina Sorto-Sánchez
- Bioaraba Health Research Institute, Cardiovascular, Respiratory and Metabolic Area, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, 48940 Vitoria-Gasteiz, Spain; (J.V.-L.); (C.S.-S.)
| | - Antoni Palau-Galindo
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28040 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (J.A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (J.L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (N.B.); (I.M.G.-A.); (E.T.); (J.P.-L.); (A.M.G.-P.); (A.G.-R.); (R.C.); (M.R.B.-L.); (J.M.S.-L.); (N.B.-T.); (C.O.-A.); (Z.V.-R.); (A.P.-G.); (I.G.-Z.)
- Departament de Bioquímica i Biotecnologia, Unitat de Nutrició, Universitat Rovira i Virgili, 43201 Reus, Spain
- Institut d’Investigació Sanitària Pere Virgili (IISPV), 43204 Reus, Spain
| | - Iñigo Galilea-Zabalza
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28040 Madrid, Spain; (M.Á.M.-G.); (J.S.-S.); (D.C.); (O.C.); (J.A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (J.L.S.-M.); (J.A.T.); (X.P.); (C.V.); (E.R.); (N.B.); (I.M.G.-A.); (E.T.); (J.P.-L.); (A.M.G.-P.); (A.G.-R.); (R.C.); (M.R.B.-L.); (J.M.S.-L.); (N.B.-T.); (C.O.-A.); (Z.V.-R.); (A.P.-G.); (I.G.-Z.)
| | - Júlia Muñoz-Martínez
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d’Investigació Médica (IMIM), 08003 Barcelona, Spain; (M.D.Z.); (K.A.P.-V.); (J.M.-M.)
| | - Vicente Martín
- Institute of Biomedicine (IBIOMED), University of León, 24071 León, Spain; (A.M.-D.); (J.A.d.P.); (V.M.)
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain; (J.V.); (L.G.-M.)
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