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Zhang J, Bloom I, Westbury LD, Bevilacqua G, Ward KA, Barker M, Lawrence W, Cooper C, Dennison EM. A Healthy Conversation Skills intervention to support changes to physical activity and dietary behaviours in community-dwelling older adults during the COVID-19 pandemic. Perspect Public Health 2024:17579139241262657. [PMID: 39087388 DOI: 10.1177/17579139241262657] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/02/2024]
Abstract
AIMS Physical activity (PA) and nutrition are important determinants of health in late adulthood. However, low levels of PA and poor nutrition are common in older adults and have become more prevalent during the COVID-19 pandemic. We hypothesised that Healthy Conversation Skills could be used to support health behaviour changes beneficial for health in older adults and thus conducted a study nested within the UK Hertfordshire Cohort Study. METHODS Between November 2019 and March 2020, 176 participants were visited at home. A trained researcher administered a questionnaire and undertook anthropometric and physical performance tests. A total of 89 participants were randomised to the control group and received a healthy living leaflet; 87 participants in the intervention group were interviewed using Healthy Conversation Skills at the initial visit with follow-up telephone calls at 1, 3, 6 and 9 months. Follow-up at 1 year by postal questionnaire assessed change in PA and diet. In total, 155 participants (79 control and 76 intervention) completed the baseline and 1-year follow-up. RESULTS At baseline, median (lower quartile, upper quartile) age (years) was 83.1 (81.5, 85.5) and median PA time (min/day) from walking, cycling and sports was 30.0 (15.0, 60.0). In total, 95% of participants completed the intervention; the total response rate for postal questionnaires was 94%. There were no statistically significant differences in outcomes between the trial arms. In women, there was a tendency for greater increases in diet quality in the intervention group compared to the control group (p = 0.075), while among men, there was a tendency for reduced decline in self-reported physical function in the intervention group compared to the control group (p = 0.081). CONCLUSION We have shown that it is viable to utilise Healthy Conversation Skills via telephone to promote healthier lifestyles in older adults. Larger appropriately powered studies to determine the efficacy of such an intervention are now warranted.
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Affiliation(s)
- J Zhang
- MRC Lifecourse Epidemiology Centre, University of Southampton, UK; NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, UK
| | - I Bloom
- MRC Lifecourse Epidemiology Centre, University of Southampton, UK; NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, UK
| | - L D Westbury
- MRC Lifecourse Epidemiology Centre, University of Southampton, UK
| | - G Bevilacqua
- MRC Lifecourse Epidemiology Centre, University of Southampton, UK
| | - K A Ward
- MRC Lifecourse Epidemiology Centre, University of Southampton, UK; NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, UK
| | - M Barker
- MRC Lifecourse Epidemiology Centre, University of Southampton, UK; NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, UK
| | - W Lawrence
- MRC Lifecourse Epidemiology Centre, University of Southampton, UK; NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, UK
| | - C Cooper
- MRC Lifecourse Epidemiology Centre, University of Southampton, UK; NIHR Oxford Biomedical Research Centre, University of Oxford, UK
| | - E M Dennison
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton General Hospital, Tremona Road, Southampton SO16 6YD, UK
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Oncina-Cánovas A, Compañ-Gabucio L, Vioque J, Ruiz-Canela M, Corella D, Salas-Salvadó J, Fitó M, Martínez A, Alonso-Gómez ÁM, Wärnberg J, Romaguera D, López-Miranda J, Estruch R, Tinahones FJ, Lapetra J, Álvarez-Pérez J, Bueno-Cavanillas A, Tur JA, Martín-Sánchez V, Esteve-Luque V, Delgado-Rodríguez M, Ortiz-Ramos M, Vidal J, Vázquez C, Daimiel L, Ros E, Razquin C, Paz-Graniel I, Sorlí JV, Castañer O, García-Rios A, Torres-Collado L, Fernández-Barceló O, Zulet MA, Rayó-Gago E, Casas R, Cano-Ibáñez N, Tojal-Sierra L, Simón-Frapolli VJ, Carlos S, Shyam S, Fernández-Carrión R, Goday A, Torres-Peña JD, González-Palacios S, Eguaras S, Babio N, Zomeño MD, García-de-la-Hera M. More Adult Women than Men at High Cardiometabolic Risk Reported Worse Lifestyles and Self-Reported Health Status in the COVID-19 Lockdown. Nutrients 2024; 16:2000. [PMID: 38999747 PMCID: PMC11243243 DOI: 10.3390/nu16132000] [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: 06/07/2024] [Revised: 06/19/2024] [Accepted: 06/21/2024] [Indexed: 07/14/2024] Open
Abstract
BACKGROUND The COVID-19 lockdown represented an immense impact on human health, which was characterized by lifestyle and dietary changes, social distancing and isolation at home. Some evidence suggests that these consequences mainly affected women and altered relevant ongoing clinical trials. The aim of this study was to evaluate the status and changes in diet, physical activity (PA), sleep and self-reported health status (SRH) as perceived by older adult men and women with metabolic syndrome during the COVID-19 lockdown. METHODS We analyzed data from 4681 Spanish adults with metabolic syndrome. We carried out a telephone survey during May and June 2020 to collect information on demographics, dietary habits, PA, sleep, SRH and anthropometric data. RESULTS The mean age of participants was 64.9 years at recruitment, and 52% of participants were men. Most participants (64.1%) perceived a decrease in their PA during confinement. Regarding gender-specific differences, a higher proportion of women than men perceived a decrease in their PA (67.5% vs. 61.1%), Mediterranean diet adherence (20.9% vs. 16.8%), sleep hours (30.3% vs. 19.1%), sleep quality (31.6% vs. 18.2%) and SRH (25.9% vs. 11.9%) (all p < 0.001). CONCLUSIONS The COVID-19 lockdown affected women more negatively, particularly their self-reported diet, PA, sleep and health status.
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Grants
- PI13/00673, PI13/00492, PI13/00272, PI13/01123, PI13/00462, PI13/00233, PI13/02184, PI13/00728, PI13/01090, PI13/01056, PI14/01722, PI14/00636, PI14/00618, PI14/00696, PI14/01206, PI14/01919, PI14/00853, PI14/01374, PI14/00972, PI14/00728, PI14/01471, PI1 Instituto de Salud Carlos III
- 2013ACUP00194 Recercaixa
- PI0458/2013, PS0358/2016, PI0137/2018 Consejería de Salud de la Junta de Andalucía
- PROMETEO/2017/017 and PROMETEO 2021/021 Generalitat Valenciana
- in the action line of R+D+i projects in response to COVID-19, "FACINGLCOVID-CM" Community of Madrid and the European Union, through the European Regional Development Fund (ERDF)-REACT-EU resources of the Madrid Operational Program 2014-2020
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Affiliation(s)
- Alejandro Oncina-Cánovas
- Unidad de Epidemiología de la Nutrición (EPINUT), Departamento de Salud Pública, Historia de la Ciencia y Ginecología, Universidad Miguel Hernández (UMH), 03550 Alicante, Spain; (A.O.-C.); (L.C.-G.); (L.T.-C.); (S.G.-P.); (M.G.-d.-l.-H.)
- Instituto de Investigación Sanitaria y Biomédica de Alicante (ISABIAL), 03010 Alicante, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28034 Madrid, Spain; (A.B.-C.); (V.M.-S.); (O.C.); (N.C.-I.)
| | - Laura Compañ-Gabucio
- Unidad de Epidemiología de la Nutrición (EPINUT), Departamento de Salud Pública, Historia de la Ciencia y Ginecología, Universidad Miguel Hernández (UMH), 03550 Alicante, Spain; (A.O.-C.); (L.C.-G.); (L.T.-C.); (S.G.-P.); (M.G.-d.-l.-H.)
- Instituto de Investigación Sanitaria y Biomédica de Alicante (ISABIAL), 03010 Alicante, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28034 Madrid, Spain; (A.B.-C.); (V.M.-S.); (O.C.); (N.C.-I.)
| | - Jesús Vioque
- Unidad de Epidemiología de la Nutrición (EPINUT), Departamento de Salud Pública, Historia de la Ciencia y Ginecología, Universidad Miguel Hernández (UMH), 03550 Alicante, Spain; (A.O.-C.); (L.C.-G.); (L.T.-C.); (S.G.-P.); (M.G.-d.-l.-H.)
- Instituto de Investigación Sanitaria y Biomédica de Alicante (ISABIAL), 03010 Alicante, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28034 Madrid, Spain; (A.B.-C.); (V.M.-S.); (O.C.); (N.C.-I.)
| | - Miguel Ruiz-Canela
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (M.R.-C.); (D.C.); (J.S.-S.); (M.F.); (A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (J.Á.-P.); (J.A.T.); (V.E.-L.); (M.D.-R.); (C.V.); (L.D.); (E.R.); (C.R.); (I.P.-G.); (J.V.S.); (A.G.-R.); (O.F.-B.); (M.A.Z.); (R.C.); (L.T.-S.); (V.J.S.-F.); (S.C.); (S.S.); (R.F.-C.); (A.G.); (J.D.T.-P.); (S.E.); (N.B.); (M.D.Z.)
- IdiSNA, Department of Preventive Medicine and Public Health, University of Navarra, 31008 Pamplona, Spain
| | - Dolores Corella
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (M.R.-C.); (D.C.); (J.S.-S.); (M.F.); (A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (J.Á.-P.); (J.A.T.); (V.E.-L.); (M.D.-R.); (C.V.); (L.D.); (E.R.); (C.R.); (I.P.-G.); (J.V.S.); (A.G.-R.); (O.F.-B.); (M.A.Z.); (R.C.); (L.T.-S.); (V.J.S.-F.); (S.C.); (S.S.); (R.F.-C.); (A.G.); (J.D.T.-P.); (S.E.); (N.B.); (M.D.Z.)
- Department of Preventive Medicine, University of Valencia, 46010 Valencia, Spain
| | - Jordi Salas-Salvadó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (M.R.-C.); (D.C.); (J.S.-S.); (M.F.); (A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (J.Á.-P.); (J.A.T.); (V.E.-L.); (M.D.-R.); (C.V.); (L.D.); (E.R.); (C.R.); (I.P.-G.); (J.V.S.); (A.G.-R.); (O.F.-B.); (M.A.Z.); (R.C.); (L.T.-S.); (V.J.S.-F.); (S.C.); (S.S.); (R.F.-C.); (A.G.); (J.D.T.-P.); (S.E.); (N.B.); (M.D.Z.)
- Departament de Bioquímica i Biotecnologia, Alimentació, Nutrició, Desenvolupament i Salut Mental ANUT-DSM, Universitat Rovira i Virgili, 43201 Reus, Spain
- Institut d’Investigació Sanitària Pere Virgili (IISPV), 43007 Reus, Spain
| | - Montserrat Fitó
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (M.R.-C.); (D.C.); (J.S.-S.); (M.F.); (A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (J.Á.-P.); (J.A.T.); (V.E.-L.); (M.D.-R.); (C.V.); (L.D.); (E.R.); (C.R.); (I.P.-G.); (J.V.S.); (A.G.-R.); (O.F.-B.); (M.A.Z.); (R.C.); (L.T.-S.); (V.J.S.-F.); (S.C.); (S.S.); (R.F.-C.); (A.G.); (J.D.T.-P.); (S.E.); (N.B.); (M.D.Z.)
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d’Investigació Médica (IMIM), 08003 Barcelona, Spain
| | - Alfredo Martínez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (M.R.-C.); (D.C.); (J.S.-S.); (M.F.); (A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (J.Á.-P.); (J.A.T.); (V.E.-L.); (M.D.-R.); (C.V.); (L.D.); (E.R.); (C.R.); (I.P.-G.); (J.V.S.); (A.G.-R.); (O.F.-B.); (M.A.Z.); (R.C.); (L.T.-S.); (V.J.S.-F.); (S.C.); (S.S.); (R.F.-C.); (A.G.); (J.D.T.-P.); (S.E.); (N.B.); (M.D.Z.)
- Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, 31008 Pamplona, Spain
- 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, 28029 Madrid, Spain; (M.R.-C.); (D.C.); (J.S.-S.); (M.F.); (A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (J.Á.-P.); (J.A.T.); (V.E.-L.); (M.D.-R.); (C.V.); (L.D.); (E.R.); (C.R.); (I.P.-G.); (J.V.S.); (A.G.-R.); (O.F.-B.); (M.A.Z.); (R.C.); (L.T.-S.); (V.J.S.-F.); (S.C.); (S.S.); (R.F.-C.); (A.G.); (J.D.T.-P.); (S.E.); (N.B.); (M.D.Z.)
- Bioaraba Health Research Institute, Cardiovascular, Respiratory and Metabolic Area, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, 01009 Vitoria-Gasteiz, Spain
| | - Julia Wärnberg
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (M.R.-C.); (D.C.); (J.S.-S.); (M.F.); (A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (J.Á.-P.); (J.A.T.); (V.E.-L.); (M.D.-R.); (C.V.); (L.D.); (E.R.); (C.R.); (I.P.-G.); (J.V.S.); (A.G.-R.); (O.F.-B.); (M.A.Z.); (R.C.); (L.T.-S.); (V.J.S.-F.); (S.C.); (S.S.); (R.F.-C.); (A.G.); (J.D.T.-P.); (S.E.); (N.B.); (M.D.Z.)
- EpiPHAAN Research Group, School of Health Sciences, Instituto de Investigación Biomédica en Málaga (IBIMA), University of Málaga, 29071 Málaga, Spain
| | - Dora Romaguera
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (M.R.-C.); (D.C.); (J.S.-S.); (M.F.); (A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (J.Á.-P.); (J.A.T.); (V.E.-L.); (M.D.-R.); (C.V.); (L.D.); (E.R.); (C.R.); (I.P.-G.); (J.V.S.); (A.G.-R.); (O.F.-B.); (M.A.Z.); (R.C.); (L.T.-S.); (V.J.S.-F.); (S.C.); (S.S.); (R.F.-C.); (A.G.); (J.D.T.-P.); (S.E.); (N.B.); (M.D.Z.)
- Health Research Institute of the Balearic Islands (IdISBa), 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, 28029 Madrid, Spain; (M.R.-C.); (D.C.); (J.S.-S.); (M.F.); (A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (J.Á.-P.); (J.A.T.); (V.E.-L.); (M.D.-R.); (C.V.); (L.D.); (E.R.); (C.R.); (I.P.-G.); (J.V.S.); (A.G.-R.); (O.F.-B.); (M.A.Z.); (R.C.); (L.T.-S.); (V.J.S.-F.); (S.C.); (S.S.); (R.F.-C.); (A.G.); (J.D.T.-P.); (S.E.); (N.B.); (M.D.Z.)
- Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, 14004 Cordoba, Spain
| | - Ramón Estruch
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (M.R.-C.); (D.C.); (J.S.-S.); (M.F.); (A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (J.Á.-P.); (J.A.T.); (V.E.-L.); (M.D.-R.); (C.V.); (L.D.); (E.R.); (C.R.); (I.P.-G.); (J.V.S.); (A.G.-R.); (O.F.-B.); (M.A.Z.); (R.C.); (L.T.-S.); (V.J.S.-F.); (S.C.); (S.S.); (R.F.-C.); (A.G.); (J.D.T.-P.); (S.E.); (N.B.); (M.D.Z.)
- Department of Internal Medicine, Institut d’Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, 08036 Barcelona, Spain
- Institut de Recerca en Nutrició I Seguretat Alimentaria (INSA-UB), University of Barcelona, 08007 Barcelona, Spain
| | - Francisco J. Tinahones
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (M.R.-C.); (D.C.); (J.S.-S.); (M.F.); (A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (J.Á.-P.); (J.A.T.); (V.E.-L.); (M.D.-R.); (C.V.); (L.D.); (E.R.); (C.R.); (I.P.-G.); (J.V.S.); (A.G.-R.); (O.F.-B.); (M.A.Z.); (R.C.); (L.T.-S.); (V.J.S.-F.); (S.C.); (S.S.); (R.F.-C.); (A.G.); (J.D.T.-P.); (S.E.); (N.B.); (M.D.Z.)
- Department of Endocrinology, Instituto de Investigación Biomédica de Málaga (IBIMA), Virgen de la Victoria Hospital, University of Málaga, 29016 Málaga, Spain
| | - José Lapetra
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (M.R.-C.); (D.C.); (J.S.-S.); (M.F.); (A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (J.Á.-P.); (J.A.T.); (V.E.-L.); (M.D.-R.); (C.V.); (L.D.); (E.R.); (C.R.); (I.P.-G.); (J.V.S.); (A.G.-R.); (O.F.-B.); (M.A.Z.); (R.C.); (L.T.-S.); (V.J.S.-F.); (S.C.); (S.S.); (R.F.-C.); (A.G.); (J.D.T.-P.); (S.E.); (N.B.); (M.D.Z.)
- Research Unit, Department of Family Medicine, Distrito Sanitario Atención Primaria Sevilla, 41013 Sevilla, Spain
| | - Jacqueline Álvarez-Pérez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (M.R.-C.); (D.C.); (J.S.-S.); (M.F.); (A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (J.Á.-P.); (J.A.T.); (V.E.-L.); (M.D.-R.); (C.V.); (L.D.); (E.R.); (C.R.); (I.P.-G.); (J.V.S.); (A.G.-R.); (O.F.-B.); (M.A.Z.); (R.C.); (L.T.-S.); (V.J.S.-F.); (S.C.); (S.S.); (R.F.-C.); (A.G.); (J.D.T.-P.); (S.E.); (N.B.); (M.D.Z.)
- Research Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria Preventive Medicine Service, Centro Hospitalario Universitario Insular Materno Infantil (CHUIMI), Canarian Health Service, 35016 Las Palmas de Gran Canaria, Spain
| | - Aurora Bueno-Cavanillas
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28034 Madrid, Spain; (A.B.-C.); (V.M.-S.); (O.C.); (N.C.-I.)
- Department of Preventive Medicine and Public Health, University of Granada, 18016 Granada, Spain
| | - Josep A. Tur
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (M.R.-C.); (D.C.); (J.S.-S.); (M.F.); (A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (J.Á.-P.); (J.A.T.); (V.E.-L.); (M.D.-R.); (C.V.); (L.D.); (E.R.); (C.R.); (I.P.-G.); (J.V.S.); (A.G.-R.); (O.F.-B.); (M.A.Z.); (R.C.); (L.T.-S.); (V.J.S.-F.); (S.C.); (S.S.); (R.F.-C.); (A.G.); (J.D.T.-P.); (S.E.); (N.B.); (M.D.Z.)
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, 07122 Palma de Mallorca, Spain
| | - Vicente Martín-Sánchez
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28034 Madrid, Spain; (A.B.-C.); (V.M.-S.); (O.C.); (N.C.-I.)
- Institute of Biomedicine (IBIOMED), University of León, 24071 León, Spain
| | - Virginia Esteve-Luque
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (M.R.-C.); (D.C.); (J.S.-S.); (M.F.); (A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (J.Á.-P.); (J.A.T.); (V.E.-L.); (M.D.-R.); (C.V.); (L.D.); (E.R.); (C.R.); (I.P.-G.); (J.V.S.); (A.G.-R.); (O.F.-B.); (M.A.Z.); (R.C.); (L.T.-S.); (V.J.S.-F.); (S.C.); (S.S.); (R.F.-C.); (A.G.); (J.D.T.-P.); (S.E.); (N.B.); (M.D.Z.)
- Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge-IDIBELL, Hospitalet de Llobregat, 08908 Barcelona, Spain
| | - Miguel Delgado-Rodríguez
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (M.R.-C.); (D.C.); (J.S.-S.); (M.F.); (A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (J.Á.-P.); (J.A.T.); (V.E.-L.); (M.D.-R.); (C.V.); (L.D.); (E.R.); (C.R.); (I.P.-G.); (J.V.S.); (A.G.-R.); (O.F.-B.); (M.A.Z.); (R.C.); (L.T.-S.); (V.J.S.-F.); (S.C.); (S.S.); (R.F.-C.); (A.G.); (J.D.T.-P.); (S.E.); (N.B.); (M.D.Z.)
- Division of Preventive Medicine, Faculty of Medicine, University of Jaén, 23071 Jaén, Spain
- Precision Nutrition and Cardiometabolic Health Program, IMDEA Alimentacion, 28049 Madrid, Spain
- Medicine and Endocrinology, University of Valladolid, 47003 Valladolid, Spain
| | - María Ortiz-Ramos
- 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 Biomèdiques 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, 28029 Madrid, Spain; (M.R.-C.); (D.C.); (J.S.-S.); (M.F.); (A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (J.Á.-P.); (J.A.T.); (V.E.-L.); (M.D.-R.); (C.V.); (L.D.); (E.R.); (C.R.); (I.P.-G.); (J.V.S.); (A.G.-R.); (O.F.-B.); (M.A.Z.); (R.C.); (L.T.-S.); (V.J.S.-F.); (S.C.); (S.S.); (R.F.-C.); (A.G.); (J.D.T.-P.); (S.E.); (N.B.); (M.D.Z.)
- Department of Endocrinology and Nutrition, Hospital Fundación Jimenez Díaz, Instituto de Investigaciones Biomédicas (IISFJD), University Autonoma, 28040 Madrid, Spain
| | - Lidia Daimiel
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (M.R.-C.); (D.C.); (J.S.-S.); (M.F.); (A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (J.Á.-P.); (J.A.T.); (V.E.-L.); (M.D.-R.); (C.V.); (L.D.); (E.R.); (C.R.); (I.P.-G.); (J.V.S.); (A.G.-R.); (O.F.-B.); (M.A.Z.); (R.C.); (L.T.-S.); (V.J.S.-F.); (S.C.); (S.S.); (R.F.-C.); (A.G.); (J.D.T.-P.); (S.E.); (N.B.); (M.D.Z.)
- Nutritional Control of the Epigenome Group, Precision Nutrition and Obesity Program, IMDEA Food, CEI UAM + CSIC, 28049 Madrid, Spain
- Departamento de Ciencias Farmacéuticas y de La Salud, Faculty de Farmacia, Universidad San Pablo-CEU, CEU Universities, 28668 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, 28029 Madrid, Spain; (M.R.-C.); (D.C.); (J.S.-S.); (M.F.); (A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (J.Á.-P.); (J.A.T.); (V.E.-L.); (M.D.-R.); (C.V.); (L.D.); (E.R.); (C.R.); (I.P.-G.); (J.V.S.); (A.G.-R.); (O.F.-B.); (M.A.Z.); (R.C.); (L.T.-S.); (V.J.S.-F.); (S.C.); (S.S.); (R.F.-C.); (A.G.); (J.D.T.-P.); (S.E.); (N.B.); (M.D.Z.)
- Lipid Clinic, Department of Endocrinology and Nutrition, Institut d’Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, 08036 Barcelona, Spain
| | - Cristina Razquin
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (M.R.-C.); (D.C.); (J.S.-S.); (M.F.); (A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (J.Á.-P.); (J.A.T.); (V.E.-L.); (M.D.-R.); (C.V.); (L.D.); (E.R.); (C.R.); (I.P.-G.); (J.V.S.); (A.G.-R.); (O.F.-B.); (M.A.Z.); (R.C.); (L.T.-S.); (V.J.S.-F.); (S.C.); (S.S.); (R.F.-C.); (A.G.); (J.D.T.-P.); (S.E.); (N.B.); (M.D.Z.)
- IdiSNA, Department of Preventive Medicine and Public Health, University of Navarra, 31008 Pamplona, Spain
| | - Indira Paz-Graniel
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (M.R.-C.); (D.C.); (J.S.-S.); (M.F.); (A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (J.Á.-P.); (J.A.T.); (V.E.-L.); (M.D.-R.); (C.V.); (L.D.); (E.R.); (C.R.); (I.P.-G.); (J.V.S.); (A.G.-R.); (O.F.-B.); (M.A.Z.); (R.C.); (L.T.-S.); (V.J.S.-F.); (S.C.); (S.S.); (R.F.-C.); (A.G.); (J.D.T.-P.); (S.E.); (N.B.); (M.D.Z.)
- Departament de Bioquímica i Biotecnologia, Alimentació, Nutrició, Desenvolupament i Salut Mental ANUT-DSM, Universitat Rovira i Virgili, 43201 Reus, Spain
- Institut d’Investigació Sanitària Pere Virgili (IISPV), 43007 Reus, Spain
| | - Jose V. Sorlí
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (M.R.-C.); (D.C.); (J.S.-S.); (M.F.); (A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (J.Á.-P.); (J.A.T.); (V.E.-L.); (M.D.-R.); (C.V.); (L.D.); (E.R.); (C.R.); (I.P.-G.); (J.V.S.); (A.G.-R.); (O.F.-B.); (M.A.Z.); (R.C.); (L.T.-S.); (V.J.S.-F.); (S.C.); (S.S.); (R.F.-C.); (A.G.); (J.D.T.-P.); (S.E.); (N.B.); (M.D.Z.)
- Department of Preventive Medicine, University of Valencia, 46010 Valencia, Spain
| | - Olga Castañer
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28034 Madrid, Spain; (A.B.-C.); (V.M.-S.); (O.C.); (N.C.-I.)
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d’Investigació Médica (IMIM), 08003 Barcelona, Spain
| | - Antonio García-Rios
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (M.R.-C.); (D.C.); (J.S.-S.); (M.F.); (A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (J.Á.-P.); (J.A.T.); (V.E.-L.); (M.D.-R.); (C.V.); (L.D.); (E.R.); (C.R.); (I.P.-G.); (J.V.S.); (A.G.-R.); (O.F.-B.); (M.A.Z.); (R.C.); (L.T.-S.); (V.J.S.-F.); (S.C.); (S.S.); (R.F.-C.); (A.G.); (J.D.T.-P.); (S.E.); (N.B.); (M.D.Z.)
- Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, 14004 Cordoba, Spain
| | - Laura Torres-Collado
- Unidad de Epidemiología de la Nutrición (EPINUT), Departamento de Salud Pública, Historia de la Ciencia y Ginecología, Universidad Miguel Hernández (UMH), 03550 Alicante, Spain; (A.O.-C.); (L.C.-G.); (L.T.-C.); (S.G.-P.); (M.G.-d.-l.-H.)
- Instituto de Investigación Sanitaria y Biomédica de Alicante (ISABIAL), 03010 Alicante, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28034 Madrid, Spain; (A.B.-C.); (V.M.-S.); (O.C.); (N.C.-I.)
| | - Olga Fernández-Barceló
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (M.R.-C.); (D.C.); (J.S.-S.); (M.F.); (A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (J.Á.-P.); (J.A.T.); (V.E.-L.); (M.D.-R.); (C.V.); (L.D.); (E.R.); (C.R.); (I.P.-G.); (J.V.S.); (A.G.-R.); (O.F.-B.); (M.A.Z.); (R.C.); (L.T.-S.); (V.J.S.-F.); (S.C.); (S.S.); (R.F.-C.); (A.G.); (J.D.T.-P.); (S.E.); (N.B.); (M.D.Z.)
- EpiPHAAN Research Group, School of Health Sciences, Instituto de Investigación Biomédica en Málaga (IBIMA), University of Málaga, 29071 Málaga, Spain
| | - María Angeles Zulet
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (M.R.-C.); (D.C.); (J.S.-S.); (M.F.); (A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (J.Á.-P.); (J.A.T.); (V.E.-L.); (M.D.-R.); (C.V.); (L.D.); (E.R.); (C.R.); (I.P.-G.); (J.V.S.); (A.G.-R.); (O.F.-B.); (M.A.Z.); (R.C.); (L.T.-S.); (V.J.S.-F.); (S.C.); (S.S.); (R.F.-C.); (A.G.); (J.D.T.-P.); (S.E.); (N.B.); (M.D.Z.)
- Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, 31008 Pamplona, Spain
| | - Elena Rayó-Gago
- Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain;
| | - Rosa Casas
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (M.R.-C.); (D.C.); (J.S.-S.); (M.F.); (A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (J.Á.-P.); (J.A.T.); (V.E.-L.); (M.D.-R.); (C.V.); (L.D.); (E.R.); (C.R.); (I.P.-G.); (J.V.S.); (A.G.-R.); (O.F.-B.); (M.A.Z.); (R.C.); (L.T.-S.); (V.J.S.-F.); (S.C.); (S.S.); (R.F.-C.); (A.G.); (J.D.T.-P.); (S.E.); (N.B.); (M.D.Z.)
- Department of Internal Medicine, Institut d’Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, 08036 Barcelona, Spain
- Institut de Recerca en Nutrició I Seguretat Alimentaria (INSA-UB), University of Barcelona, 08007 Barcelona, Spain
| | - Naomi Cano-Ibáñez
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28034 Madrid, Spain; (A.B.-C.); (V.M.-S.); (O.C.); (N.C.-I.)
- Department of Preventive Medicine and Public Health, University of Granada, 18016 Granada, Spain
| | - Lucas Tojal-Sierra
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (M.R.-C.); (D.C.); (J.S.-S.); (M.F.); (A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (J.Á.-P.); (J.A.T.); (V.E.-L.); (M.D.-R.); (C.V.); (L.D.); (E.R.); (C.R.); (I.P.-G.); (J.V.S.); (A.G.-R.); (O.F.-B.); (M.A.Z.); (R.C.); (L.T.-S.); (V.J.S.-F.); (S.C.); (S.S.); (R.F.-C.); (A.G.); (J.D.T.-P.); (S.E.); (N.B.); (M.D.Z.)
- Bioaraba Health Research Institute, Cardiovascular, Respiratory and Metabolic Area, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, 01009 Vitoria-Gasteiz, Spain
| | - Víctor J. Simón-Frapolli
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (M.R.-C.); (D.C.); (J.S.-S.); (M.F.); (A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (J.Á.-P.); (J.A.T.); (V.E.-L.); (M.D.-R.); (C.V.); (L.D.); (E.R.); (C.R.); (I.P.-G.); (J.V.S.); (A.G.-R.); (O.F.-B.); (M.A.Z.); (R.C.); (L.T.-S.); (V.J.S.-F.); (S.C.); (S.S.); (R.F.-C.); (A.G.); (J.D.T.-P.); (S.E.); (N.B.); (M.D.Z.)
- Department of Endocrinology, Instituto de Investigación Biomédica de Málaga (IBIMA), Virgen de la Victoria Hospital, University of Málaga, 29016 Málaga, Spain
| | - Silvia Carlos
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (M.R.-C.); (D.C.); (J.S.-S.); (M.F.); (A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (J.Á.-P.); (J.A.T.); (V.E.-L.); (M.D.-R.); (C.V.); (L.D.); (E.R.); (C.R.); (I.P.-G.); (J.V.S.); (A.G.-R.); (O.F.-B.); (M.A.Z.); (R.C.); (L.T.-S.); (V.J.S.-F.); (S.C.); (S.S.); (R.F.-C.); (A.G.); (J.D.T.-P.); (S.E.); (N.B.); (M.D.Z.)
- IdiSNA, Department of Preventive Medicine and Public Health, University of Navarra, 31008 Pamplona, Spain
| | - Sangeetha Shyam
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (M.R.-C.); (D.C.); (J.S.-S.); (M.F.); (A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (J.Á.-P.); (J.A.T.); (V.E.-L.); (M.D.-R.); (C.V.); (L.D.); (E.R.); (C.R.); (I.P.-G.); (J.V.S.); (A.G.-R.); (O.F.-B.); (M.A.Z.); (R.C.); (L.T.-S.); (V.J.S.-F.); (S.C.); (S.S.); (R.F.-C.); (A.G.); (J.D.T.-P.); (S.E.); (N.B.); (M.D.Z.)
- Departament de Bioquímica i Biotecnologia, Alimentació, Nutrició, Desenvolupament i Salut Mental ANUT-DSM, Universitat Rovira i Virgili, 43201 Reus, Spain
- Institut d’Investigació Sanitària Pere Virgili (IISPV), 43007 Reus, Spain
| | - Rebeca Fernández-Carrión
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (M.R.-C.); (D.C.); (J.S.-S.); (M.F.); (A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (J.Á.-P.); (J.A.T.); (V.E.-L.); (M.D.-R.); (C.V.); (L.D.); (E.R.); (C.R.); (I.P.-G.); (J.V.S.); (A.G.-R.); (O.F.-B.); (M.A.Z.); (R.C.); (L.T.-S.); (V.J.S.-F.); (S.C.); (S.S.); (R.F.-C.); (A.G.); (J.D.T.-P.); (S.E.); (N.B.); (M.D.Z.)
- Department of Preventive Medicine, University of Valencia, 46010 Valencia, Spain
| | - Albert Goday
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (M.R.-C.); (D.C.); (J.S.-S.); (M.F.); (A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (J.Á.-P.); (J.A.T.); (V.E.-L.); (M.D.-R.); (C.V.); (L.D.); (E.R.); (C.R.); (I.P.-G.); (J.V.S.); (A.G.-R.); (O.F.-B.); (M.A.Z.); (R.C.); (L.T.-S.); (V.J.S.-F.); (S.C.); (S.S.); (R.F.-C.); (A.G.); (J.D.T.-P.); (S.E.); (N.B.); (M.D.Z.)
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d’Investigació Médica (IMIM), 08003 Barcelona, Spain
| | - Jose David Torres-Peña
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (M.R.-C.); (D.C.); (J.S.-S.); (M.F.); (A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (J.Á.-P.); (J.A.T.); (V.E.-L.); (M.D.-R.); (C.V.); (L.D.); (E.R.); (C.R.); (I.P.-G.); (J.V.S.); (A.G.-R.); (O.F.-B.); (M.A.Z.); (R.C.); (L.T.-S.); (V.J.S.-F.); (S.C.); (S.S.); (R.F.-C.); (A.G.); (J.D.T.-P.); (S.E.); (N.B.); (M.D.Z.)
- Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, 14004 Cordoba, Spain
| | - Sandra González-Palacios
- Unidad de Epidemiología de la Nutrición (EPINUT), Departamento de Salud Pública, Historia de la Ciencia y Ginecología, Universidad Miguel Hernández (UMH), 03550 Alicante, Spain; (A.O.-C.); (L.C.-G.); (L.T.-C.); (S.G.-P.); (M.G.-d.-l.-H.)
- Instituto de Investigación Sanitaria y Biomédica de Alicante (ISABIAL), 03010 Alicante, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28034 Madrid, Spain; (A.B.-C.); (V.M.-S.); (O.C.); (N.C.-I.)
| | - Sonia Eguaras
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (M.R.-C.); (D.C.); (J.S.-S.); (M.F.); (A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (J.Á.-P.); (J.A.T.); (V.E.-L.); (M.D.-R.); (C.V.); (L.D.); (E.R.); (C.R.); (I.P.-G.); (J.V.S.); (A.G.-R.); (O.F.-B.); (M.A.Z.); (R.C.); (L.T.-S.); (V.J.S.-F.); (S.C.); (S.S.); (R.F.-C.); (A.G.); (J.D.T.-P.); (S.E.); (N.B.); (M.D.Z.)
- IdiSNA, Department of Preventive Medicine and Public Health, University of Navarra, 31008 Pamplona, Spain
| | - Nancy Babio
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (M.R.-C.); (D.C.); (J.S.-S.); (M.F.); (A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (J.Á.-P.); (J.A.T.); (V.E.-L.); (M.D.-R.); (C.V.); (L.D.); (E.R.); (C.R.); (I.P.-G.); (J.V.S.); (A.G.-R.); (O.F.-B.); (M.A.Z.); (R.C.); (L.T.-S.); (V.J.S.-F.); (S.C.); (S.S.); (R.F.-C.); (A.G.); (J.D.T.-P.); (S.E.); (N.B.); (M.D.Z.)
- Departament de Bioquímica i Biotecnologia, Alimentació, Nutrició, Desenvolupament i Salut Mental ANUT-DSM, Universitat Rovira i Virgili, 43201 Reus, Spain
- Institut d’Investigació Sanitària Pere Virgili (IISPV), 43007 Reus, Spain
| | - María Dolores Zomeño
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain; (M.R.-C.); (D.C.); (J.S.-S.); (M.F.); (A.M.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (F.J.T.); (J.L.); (J.Á.-P.); (J.A.T.); (V.E.-L.); (M.D.-R.); (C.V.); (L.D.); (E.R.); (C.R.); (I.P.-G.); (J.V.S.); (A.G.-R.); (O.F.-B.); (M.A.Z.); (R.C.); (L.T.-S.); (V.J.S.-F.); (S.C.); (S.S.); (R.F.-C.); (A.G.); (J.D.T.-P.); (S.E.); (N.B.); (M.D.Z.)
- School of Health Sciences, Universitat Ramon Llull, 08025 Barcelona, Spain
| | - Manuela García-de-la-Hera
- Unidad de Epidemiología de la Nutrición (EPINUT), Departamento de Salud Pública, Historia de la Ciencia y Ginecología, Universidad Miguel Hernández (UMH), 03550 Alicante, Spain; (A.O.-C.); (L.C.-G.); (L.T.-C.); (S.G.-P.); (M.G.-d.-l.-H.)
- Instituto de Investigación Sanitaria y Biomédica de Alicante (ISABIAL), 03010 Alicante, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), 28034 Madrid, Spain; (A.B.-C.); (V.M.-S.); (O.C.); (N.C.-I.)
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Bohn T, Ferrini K, Stahl C. LIFANA - toward developing a meal recommender system as a dietary support app for the elderly. INT J VITAM NUTR RES 2024; 94:221-238. [PMID: 37877217 DOI: 10.1024/0300-9831/a000795] [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: 10/26/2023]
Abstract
Background: Though a variety of eHealth/mHealth dietary solutions exist, many are ill-adapted to the target population and local eating habits. A specific need exists for the elderly, a growing vulnerable population with limited digital literacy. The LIFANA project aimed at developing a mobile nutrition solution, i.e. a dietary meal-recommender app for personalized meal planning useful for the elderly. Methods: In addition to considering age, gender, and physical activity, the app assured sufficient intake of calories and proteins. The solution was optimized to consider local eating culture in Portugal (PT)/The Netherlands (NL) where it was tested. Recipes (>300) were included and aligned with national food composition dietary databases (FCDBs) to analyse their nutritional values for meal planning. Individual dietary preferences, food restrictions (i.e., allergies), and budget considerations were included in the user profile. The development process involved user integration, including focus groups and usability evaluations, followed by longer field trials in Portugal (n=53 participants, age 60-81 y, 14 months) and the Netherlands (n=107, age 52-86 y, 3 months). Endpoints regarding acceptance/usage frequency, anthropometric measures and (in PT) blood pressure and body fat were collected. Results: 23/34 elderly finalized the trials in PT/NL. No significant changes in anthropometry or other assessed markers, including blood pressure, were observed. 9% (NL) and 47% (PT) of users reported that they would consider using the solution if it were on the market. Conclusions: Via an iterative adaptive process, a dietary app was developed and improved that demonstrated acceptance/user-friendliness comparable to other tools available on the market and allowed - despite the COVID crisis - for stable anthropometric markers and blood pressure. However, it was also observed that additional features, such as a link to an online shopping app, and closer personal follow-up was associated with increased usability and acceptance of the solution and thus further personalization and nudges are warranted to increase employment of such dietary apps.
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Affiliation(s)
- Torsten Bohn
- Nutrition and Health Research Group, Department of Precision Health, Luxembourg Institute of Health, Strassen, Luxembourg
| | | | - Christoph Stahl
- Data Science and Analytics, ITIS Department, Luxembourg Institute of Science and Technology, Esch-sur Alzette, Luxembourg
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Bertuccio P, Vigezzi GP, Amerio A, Cavalieri D'oro L, Iacoviello L, Stuckler D, Signorelli C, Zucchi A, Gallus S, Odone A. Health and social home services among community-dwelling older people during COVID-19: Results from the cross-sectional LOST in Lombardia project. Scand J Public Health 2024; 52:262-270. [PMID: 37688313 DOI: 10.1177/14034948231184516] [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: 09/10/2023]
Abstract
BACKGROUND Few studies have focused on changes in health and social services access due to the COVID-19 pandemic. We aimed to describe changes in the use of selected health and social home services due to the pandemic and to investigate potential associated factors, including socio-demographic characteristics, number of chronic diseases and mental health indicators, among older Italian individuals. METHODS We analysed data from the LOST in Lombardia cross-sectional study conducted in November 2020 on a large representative sample of 4400 individuals aged ⩾65 years. To identify potential factors associated with the increased use of three selected health and social home services, we estimated odds ratios (OR) and confidence intervals (CI) using multivariable logistic regression models. RESULTS Compared to the year before, 5.0% of older adults increased help from domestic workers (vs. 6.9% reducing) during the pandemic, 4.4% increased help from non-familiar caregivers (vs. 1.3% decreasing) and 4.7% increased medical home visits (vs. 1.0% decreasing). An increase in the use of these services was more frequent among participants with co-morbidities (p for trend <0.001), especially with diabetes (for caregivers: OR=12.2, 95% CI 6.0-24.8), and worse mental health (for caregivers and for those with a GAD-2 score ⩾3 vs. <3: OR=10.6, 95% CI 5.8-19.4). Conversely, people living in more crowded households less frequently increased health and social services use during the pandemic. CONCLUSIONS Our results should inform targeted interventions for the identified vulnerable groups to close the gap in health and social inequities.
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Affiliation(s)
- Paola Bertuccio
- Department of Public Health, Experimental and Forensic Medicine, University of Pavia, Italy
| | - Giacomo Pietro Vigezzi
- Department of Public Health, Experimental and Forensic Medicine, University of Pavia, Italy
- Collegio Ca' della Paglia, Fondazione Ghislieri, Italy
| | - Andrea Amerio
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Section of Psychiatry, University of Genoa, Italy
- IRCCS San Martino Polyclinic Hospital, Italy
| | | | - Licia Iacoviello
- Department of Medicine and Surgery, Research Centre in Epidemiology and Preventive Medicine (EPIMED), University of Insubria, Italy
- Department of Epidemiology and Prevention, IRCCS Neuromed, Italy
| | - David Stuckler
- Department of Social and Political Sciences, Bocconi University, Italy
| | | | - Alberto Zucchi
- Epidemiology Unit, Bergamo Health Protection Agency, Italy
| | - Silvano Gallus
- Department of Environmental Health Sciences, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Italy
| | - Anna Odone
- Department of Public Health, Experimental and Forensic Medicine, University of Pavia, Italy
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Saldanha MF, Ribeiro Dos Santos R, Jansen AK. Energy and nutrient intake in older adults with healthy aging during the Corona Virus Disease 19 pandemic- a cohort study. Clin Nutr ESPEN 2024; 59:181-187. [PMID: 38220374 DOI: 10.1016/j.clnesp.2023.12.002] [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: 04/30/2023] [Revised: 11/15/2023] [Accepted: 12/04/2023] [Indexed: 01/16/2024]
Abstract
BACKGROUND AND OBJECTIVE Lockdown measures implemented amid the COVID-19 pandemic promoted changes in lifestyle, particularly engagement in physical activity/exercise and dietary intake. However, few studies are available investigating the healthy older population, particularly in developing countries. Therefore, the objective of this study was to assess the impact of the COVID-19 pandemic on energy and nutrient intake among older adults with successful aging and to evaluate changes in muscle mass, strength and physical performance. METHODS A cohort study of 38 healthy older adults from a Brazilian geriatrics referral center were assessed at two time points: baseline - up to 1 year prior to the pandemic; and follow-up - an average of 17 months after the pandemic outbreak. Energy and nutrient intake was determined using food recalls and diary records, while muscle mass was calculated based on anthropometric parameters. Maximum hand-grip strength and Short Physical Performance Battery (SPPB) score were also evaluated. RESULTS Median age of participants was 87 years. During the pandemic, intake of protein increased from 52.6 g to 63.9 g (p = 0.013) and micronutrients also increased: vitamin C from 35.4 mg to 76.1 mg (p = 0.027), vitamin B12 from 2.2 mg to 3.1 mg (p = 0.045), calcium from 435.1 mg to 631.5 mg (p < 0.001), magnesium from 186.5 mg to 198.9 mg (p = 0.043), zinc from 5.8 mg to 7.6 mg (p = 0.009), iron from 6.9 mg to 7.2 mg (p = 0.035) and potassium from 1941.6 mg to 2115.5 mg (p = 0.048). No changes in energy intake or other nutrients were evident. No difference in mass, strength or physical performance was observed during the study period. Overall, 84% of participants remained physically active, although engagement in physical exercise decreased by 50% (p < 0.002). CONCLUSION The increase in intake of proteins and micronutrients suggests improved diet quality during the pandemic. Engagement in physical exercise decreased significantly, but level of physical activity was maintained. No change in anthropometric parameters, strength or physical performance was evident in the population investigated.
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Affiliation(s)
- Marcelle Ferreira Saldanha
- Nursing School, Postgraduate Program in Nutrition and Health, Universidade Federal de Minas Gerais, Avenue Professor Alfredo Balena, 190, Santa Efigênia, Belo Horizonte, Minas Gerais, Brazil.
| | - Rodrigo Ribeiro Dos Santos
- Faculty of Medicine, Medical Clinic Department, Universidade Federal de Minas Gerais, Avenue Professor Alfredo Balena, 190, Santa Efigênia, Belo Horizonte, Minas Gerais, Brazil.
| | - Ann Kristine Jansen
- Nursing School, Department of Nutrition, Universidade Federal de Minas Gerais, Avenue Professor Alfredo Balena, 190, Santa Efigênia, Belo Horizonte, Minas Gerais, Brazil.
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Berges P, Schrader B, Vaske B, Bohling A, Lüders S, Elsässer A, Schrader J. [Influence of the Corona pandemic on cardiovascular risk factors - Data from 1775 participants of the ELITE study before and during the Corona pandemic]. Dtsch Med Wochenschr 2024; 149:e11-e18. [PMID: 37995721 PMCID: PMC10805539 DOI: 10.1055/a-2201-6772] [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: 11/25/2023]
Abstract
BACKGROUND The COVID-19 pandemic and its interventions have led to a deficit in medical care and changes in people's lifestyles, which has consequently changed cardio- and cerebrovascular primary and secondary prevention. The existing data are mainly based on surveys. In addition to the problem of the accuracy of self-assessments, the pandemic per se and the massive public reporting may have biased the data.Only a few publications have compared data collected before the pandemic with results during the pandemic. The ELITE study has regularly monitored risk factors (RF) and psychosocial parameters (stress, depression, well-being, diet, brain performance, exercise) in over 5000 participants for years. From this study, data were analyzed from 1775 individuals collected before the onset and again during the pandemic (06/05/2020-25/01/2022). Thus, baseline values were unaffected by the pandemic. RESULTS As expected, both improvements and worsening of the collected parameters were found. Blood pressure and depressive symptoms worsened significantly more often, with women more frequently affected. Weight and stress levels also increased more often than they improved. Only physical activity showed a slight increase. 24.1 % showed only deteriorations and no improvements in these parameters. In contrast, 19.6 % showed improvements exclusively. In the group with only worsening, there was a significant increase in individuals with the risk factors (RF) hypertension, obesity, elevated LDL cholesterol, nicotine, and diabetes mellitus. This resulted in an increase in individuals with 2 or more RF. In contrast, the number of individuals with 2 and more RF decreased in the group with only improvements. Strikingly, individuals with risk factors improved more frequently. CONCLUSION A not insignificant part of the population experienced significant worsening of RF during the pandemic. This particularly affected blood pressure and depressive symptoms, and more often women.
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Affiliation(s)
- Paulina Berges
- Universitätsklinik für Innere Medizin – Kardiologie, Klinikum Oldenburg
| | - Bastian Schrader
- Universitätsklinik für Innere Medizin – Kardiologie, Klinikum Oldenburg
| | - Bernhard Vaske
- Institut für Herz-Kreislauf-Forschung (INFO), Cloppenburg
| | - Annabelle Bohling
- Universitätsklinik für Innere Medizin – Kardiologie, Klinikum Oldenburg
| | - Stephan Lüders
- Klinik für Nephrologie, Innere Medizin, St.-Josefs-Hospital, Cloppenburg
- Klinik für Nephrologie und Rheumatologie, Universitätsmedizin Göttingen
| | - Albrecht Elsässer
- Universitätsklinik für Innere Medizin – Kardiologie, Klinikum Oldenburg
| | - Joachim Schrader
- Universitätsklinik für Innere Medizin – Kardiologie, Klinikum Oldenburg
- Institut für Herz-Kreislauf-Forschung (INFO), Cloppenburg
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Li Y, Cui M, Pang Y, Zhan B, Li X, Wang Q, Chen F, Zhou Z, Yang Q. Association of physical activity with socio-economic status and chronic disease in older adults in China: cross-sectional findings from the survey of CLASS 2020 after the outbreak of COVID-19. BMC Public Health 2024; 24:37. [PMID: 38166980 PMCID: PMC10762973 DOI: 10.1186/s12889-023-17492-9] [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: 08/28/2023] [Accepted: 12/14/2023] [Indexed: 01/05/2024] Open
Abstract
BACKGROUND In 2021, China had a population of 264·01 million individuals over the age of 60, indicating a high prevalence of chronic diseases. Among older adults, physical inactivity (PI) is a significant risk factor for chronic diseases. However, few studies have been conducted on the correlation of physical activity (PA) with the economic status, geography and chronic disease risks in Chinese elderly. The objectives of this study were to better understand the distribution of PA among older adults in China and its relationship with economic status, geography, and chronic disease risks. METHODS This study utilized data from the China Longitudinal Aging Social Survey (CLASS) in 2020, post-COVID-19. The study employed a stratified, multistage, probabilistic sampling approach and included 11,396 adults over the age of 59 from 28 provinces in China. Data on demographics, the duration and intensity of PA, history of diseases and personalized factors influencing PA were collected via structured interviews by researchers. In this study, we conducted a comprehensive analysis, employing a range of statistical methods including descriptive analysis, Wilcoxon rank-sum tests, Bayesian networks, and chi-square tests. RESULTS The prevalence of PI among older adults over 59 in China is 28·82%. Significant regional differences were observed in the duration of PA at different intensities. Older adults residing in more economically developed areas were more likely to engage in moderate-to-vigorous physical activity (MVPA) and exhibited longer sedentary behavior. Economic status and urban-rural disparities consistently emerged as direct influential factors across all intensity types. Chronic disease risks were significantly lower in active older adults compared to inactive ones. Lack of social guidance, family support, and personal inclination towards sedentary behavior were the main personalized factors affecting PA among older adults, and these factors could be relatively easily modified. CONCLUSIONS Economic status, geography, and living areas (urban and rural) significantly influenced the distribution of physical activities in China. Particularly, economic status and living areas acted as direct factors. Older adults reaching the recommended standards for PA had significantly lower chronic disease risks, highlighting the importance of improving personalized factors which are crucial for promoting PA.
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Affiliation(s)
- Yi Li
- Capital University of Physical Education and Sports, Beijing, 100000, China
| | - Mingyuan Cui
- Capital University of Physical Education and Sports, Beijing, 100000, China
| | - Yiqun Pang
- Southwest Petroleum University, Chengdu, 610000, China
| | - Bing Zhan
- Capital University of Physical Education and Sports, Beijing, 100000, China
| | - Xiaotian Li
- Capital University of Physical Education and Sports, Beijing, 100000, China
| | - Qiurui Wang
- Capital University of Physical Education and Sports, Beijing, 100000, China
| | - Fang Chen
- Capital University of Physical Education and Sports, Beijing, 100000, China
| | - Zhixiong Zhou
- Capital University of Physical Education and Sports, Beijing, 100000, China.
| | - Qingzhu Yang
- Capital University of Physical Education and Sports, Beijing, 100000, China.
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Vigezzi GP, Bertuccio P, Amerio A, Bottini G, Gandola M, Cavalieri d'Oro L, Iacoviello L, Stuckler D, Signorelli C, Zucchi A, Gallus S, Odone A. Grandparenting during pandemic times: pros and cons for mental health. J Public Health (Oxf) 2023; 45:816-821. [PMID: 37632408 DOI: 10.1093/pubmed/fdad154] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Revised: 07/02/2023] [Accepted: 08/03/2023] [Indexed: 08/28/2023] Open
Abstract
BACKGROUND The COVID-19 pandemic and associated lockdown measures posed an unprecedented challenge to the crucial role of grandparenting in family-oriented cultures, such as Italy. Reduced contact with grandchildren during this period potentially threatened grandparents' mental health and well-being. METHODS We analysed data from the LOckdown and lifeSTyles in Lombardia cross-sectional study conducted in November 2020. The study included a representative sample of 4400 older adults from Lombardy, Italy, of which 1289 provided childcare to their grandchildren. RESULTS A decrease in self-reported grandparenting was associated with an increased likelihood of experiencing depressive symptoms among grandparents (OR 1.50, 95% CI 1.01-2.24). Conversely, an increase in grandparenting was linked to poorer sleep quality (OR 11.67, 95% CI 5.88-23.17) and reduced sleep quantity (OR 2.53, 95% CI 1.45-4.41). CONCLUSIONS Despite the barriers posed by the pandemic, grandparenting played a beneficial role in maintaining the mental health and well-being of older adults. However, it is crucial to recognise specific vulnerabilities, such as gender, feelings of hopelessness and overcrowding, which can have detrimental effects during and beyond emergency situations. Careful attention to these factors is essential for developing targeted support systems and interventions aimed at safeguarding the mental health of older adults and enhancing their resilience in crises.
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Affiliation(s)
- Giacomo Pietro Vigezzi
- Department of Public Health, Experimental and Forensic Medicine, University of Pavia, 27100 Pavia, Italy
- Collegio Ca' della Paglia, Fondazione Ghislieri, 27100 Pavia, Italy
- PhD Programme in Psychology, Neuroscience and Data Science, Department of Brain and Behavioural Sciences, University of Pavia, 27100 Pavia, Italy
| | - Paola Bertuccio
- Department of Public Health, Experimental and Forensic Medicine, University of Pavia, 27100 Pavia, Italy
| | - Andrea Amerio
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Section of Psychiatry, University of Genoa, 16132 Genoa, Italy
- IRCCS Ospedale Policlinico San Martino, 16132 Genoa, Italy
| | - Gabriella Bottini
- Department of Brain and Behavioral Sciences, University of Pavia, 27100 Pavia, Italy
- Cognitive Neuropsychology Centre, ASST Grande Ospedale Metropolitano Niguarda, 20162 Milan, Italy
- NeuroMi, Milan Centre for Neuroscience, 20162 Milan, Italy
| | - Martina Gandola
- Department of Brain and Behavioral Sciences, University of Pavia, 27100 Pavia, Italy
- Cognitive Neuropsychology Centre, ASST Grande Ospedale Metropolitano Niguarda, 20162 Milan, Italy
- NeuroMi, Milan Centre for Neuroscience, 20162 Milan, Italy
| | | | - Licia Iacoviello
- Department of Medicine and Surgery, Research Center in Epidemiology and Preventive Medicine (EPIMED), University of Insubria, 21100 Varese, Italy
- Department of Epidemiology and Prevention, IRCCS Neuromed, 86077 Pozzilli, Italy
| | - David Stuckler
- Department of Social and Political Sciences, Bocconi University, 20100 Milan, Italy
| | - Carlo Signorelli
- School of Medicine, Vita-Salute San Raffaele University, 20132 Milan, Italy
| | - Alberto Zucchi
- Epidemiology Unit, Bergamo Health Protection Agency, 24121 Bergamo, Italy
| | - Silvano Gallus
- Department of Environmental Health Sciences, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, 20156 Milan, Italy
| | - Anna Odone
- Department of Public Health, Experimental and Forensic Medicine, University of Pavia, 27100 Pavia, Italy
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Amerio A, Stival C, Lugo A, Fanucchi T, d'Oro LC, Iacoviello L, Odone A, Stuckler D, Zucchi A, Serafini G, Gallus S, Jarach CM, Santucci C, Amore M, De Sena R, Ghislandi S, Wang Y, Bonaccio M, Gianfagna F, Signorelli C, Mosconi G, Vigezzi GP, Rognoni M, Paroni L, Ciampichini R. COVID-19 pandemic impact on mental health in a large representative sample of older adults from the Lombardy region, Italy. J Affect Disord 2023; 325:282-288. [PMID: 36627059 PMCID: PMC9824954 DOI: 10.1016/j.jad.2023.01.006] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Revised: 12/26/2022] [Accepted: 01/03/2023] [Indexed: 01/09/2023]
Abstract
BACKGROUND We aimed to assess the prevalence of depressive and anxiety symptoms, hopelessness and insomnia in the older adults before and during the COVID-19 pandemic identifying subgroups at higher risk of mental distress. METHODS Within the Lost in Lombardy project, a web-based cross-sectional study was conducted on a representative sample of 4400 older adults aged 65 years or more from the Lombardy region recruited between November 17th and 30th 2020. RESULTS The prevalence of depressive symptoms increased by +112 % during the pandemic, anxiety symptoms by +136 %, insufficient sleep by +12 %, unsatisfactory sleep by +15 %. Feelings of hopelessness were more frequent among women compared to men and increased with increasing age. A worsening in each of the four specific mental health outcomes was more frequently observed in women (OR = 1.50, depression; OR = 1.31, anxiety; OR = 1.57, sleep quality; OR = 1.38, sleep quantity), in subjects who decreased their physical activity during the pandemic (OR = 1.64, depression; OR = 1.48, anxiety; OR = 2.05, sleep quality; OR = 1.28, sleep quantity), and with increasing number of pre-existing chronic diseases. The use of at least one psychotropic drug - mostly antidepressants/anxiolytics - increased by +26 % compared to pre-pandemic. LIMITATIONS Pre-pandemic symptoms were retrospectively reported during the Covid pandemic. Potential information and recall bias should not be ruled out. CONCLUSIONS If confirmed by future longitudinal studies, our findings could support evidence-based health and welfare policies on responding to this pandemic and on how to promote mental health and wellbeing, should future waves of infection emerge.
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Affiliation(s)
- Andrea Amerio
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Section of Psychiatry, University of Genoa, Genoa, Italy; IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
| | - Chiara Stival
- Department of Environmental Health Sciences, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy.
| | - Alessandra Lugo
- Department of Environmental Health Sciences, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy.
| | - Tiziana Fanucchi
- SOD Alcologia - Centro Alcologico Regionale Toscano, Azienda Ospedaliero-Universitaria Careggi, Florence, Italy.
| | | | - Licia Iacoviello
- School of Medicine, University of Insubria, Varese, Italy; IRCCS Neuromed, Pozzilli, Italy.
| | - Anna Odone
- Department of Public Health, Experimental and Forensic Medicine, University of Pavia, Pavia, Italy; School of Medicine, Vita-Salute San Raffaele University, Milan, Italy.
| | - David Stuckler
- Department of Social Sciences and Politics, Bocconi University, Milan, Italy.
| | | | - Gianluca Serafini
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Section of Psychiatry, University of Genoa, Genoa, Italy; IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
| | - Silvano Gallus
- Department of Environmental Health Sciences, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy.
| | - the “LOST in Lombardia” Study InvestigatorsBosettiCristina1JarachCarlotta Micaela1SantucciClaudia1AmoreMario23De SenaRoberto4GhislandiSimone4WangYuxi4BonaccioMarialaura56GianfagnaFrancesco56SignorelliCarlo7MosconiGiansanto8VigezziGiacomo Pietro8RognoniMagda9ParoniLuca9CiampichiniRoberta10Department of Environmental Health Sciences, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, ItalyDepartment of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Section of Psychiatry, University of Genoa, Genoa, ItalyIRCCS Ospedale Policlinico San Martino, Genoa, ItalyDepartment of Social Sciences and Politics, Bocconi University, Milan, ItalySchool of Medicine, University of Insubria, Varese, ItalyIRCCS Neuromed, Pozzilli, ItalySchool of Medicine, Vita-Salute San Raffaele University, Milan, ItalyDepartment of Public Health, Experimental and Forensic Medicine, University of Pavia, Pavia, ItalyATS Brianza, Monza, ItalyATS Bergamo, Bergamo, Italy
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Wing RR, Howard MJ, Olson KL, Unick J, Chao AM, Wadden TA, Wagenknecht LE. Weight changes during the COVID-19 shutdown in older individuals with type 2 diabetes: the Look AHEAD Study. Obesity (Silver Spring) 2023; 31:871-882. [PMID: 36478643 PMCID: PMC9878262 DOI: 10.1002/oby.23674] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Revised: 10/22/2022] [Accepted: 11/20/2022] [Indexed: 12/12/2022]
Abstract
OBJECTIVE The aims of this study were as follows: 1) examine weight changes in older adults (mean age = 76 years) with type 2 diabetes and overweight or obesity during the COVID-19 shutdown; and 2) compare the behavioral and psychosocial effects of the shutdown in those who had large weight losses (>5%), those who had small weight losses (2%-5%), those who remained weight stable (±2%), or those who gained weight (>2%). METHODS Look AHEAD (Action for Health in Diabetes) participants (N = 2544) were surveyed during the COVID-19 shutdown (2020), and they self-reported their current weight, reasons for weight change, weight-related behaviors, psychosocial measures, and negative and positive effects of the pandemic on their lives. RESULTS Comparing self-reported weight during the COVID-19 shutdown with earlier measured weight, Look AHEAD participants lost, on average, 2.2 kg during the COVID-19 shutdown: 47% lost >2%, and only 18% gained >2% (p < 0.0001). Decreases in physical activity and increases in screen time were reported frequently in all weight-change categories. Similarly, there were few differences among the categories on standardized psychosocial measures or self-reported effects of the shutdown on participants' lives. However, when differences were seen, the most negative impact was in those who gained weight. CONCLUSIONS Although weight loss appeared more common than weight gain during the shutdown, the weight-change groups did not differ on most psychosocial and behavioral variables.
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Affiliation(s)
- Rena R. Wing
- Warren Alpert Medical School of Brown University, Department of Psychiatry and Human behavior, Miriam HospitalProvidenceRI
| | - Marjorie J. Howard
- Wake Forest University School of Medicine, Public Health SciencesWinston‐SalemNC
| | - KayLoni L. Olson
- Warren Alpert Medical School of Brown University, Department of Psychiatry and Human behavior, Miriam HospitalProvidenceRI
| | - Jessica Unick
- Warren Alpert Medical School of Brown University, Department of Psychiatry and Human behavior, Miriam HospitalProvidenceRI
| | - Ariana M. Chao
- University of Pennsylvania School of Nursing, Department of Biobehavioral Health SciencesPhiladelphiaPA
| | - Thomas A. Wadden
- Perelman School of Medicine at the University of Pennsylvania, Department of PsychiatryPhiladelphiaPA
| | - Lynne E. Wagenknecht
- Wake Forest University School of Medicine, Public Health SciencesWinston‐SalemNC
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Leung T, Fang Y, Chan PSF, Yu FY, Sun F. The Changes in Levels and Barriers of Physical Activity Among Community-Dwelling Older Adults During and After the Fifth Wave of COVID-19 Outbreak in Hong Kong: Repeated Random Telephone Surveys. JMIR Aging 2023; 6:e42223. [PMID: 36599172 PMCID: PMC9947816 DOI: 10.2196/42223] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2022] [Revised: 12/19/2022] [Accepted: 12/27/2022] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND COVID-19 has had an impact on physical activity (PA) among older adults; however, it is unclear whether this effect would be long-lasting, and there is a dearth of studies assessing the changes in barriers to performing PA among older adults before and after entering the "postpandemic era." OBJECTIVE The aim of this study was to compare the levels and barriers of PA among a random sample of community-dwelling older adults recruited during (February to April 2022) and after the fifth wave of the COVID-19 outbreak (May to July 2022) in Hong Kong. In addition, we investigated factors associated with a low PA level among participants recruited at different time points. METHODS This study involved two rounds of random telephone surveys. Participants were community-dwelling Chinese-speaking individuals aged 65 years or above and having a Hong Kong ID card. Household telephone numbers were randomly selected from the most updated telephone directories. Experienced interviewers carried out telephone interviews between 6 PM and 10 PM on weekdays and between 2 PM and 9 PM on Saturdays to avoid undersampling of working individuals. We called 3900 and 3840 households in the first and second round, respectively; for each round, 640 and 625 households had an eligible older adult and 395 and 370 completed the telephone survey, respectively. RESULTS As compared to participants in the first round, fewer participants indicated a low level of PA in the second round (28.6% vs 45.9%, P<.001). Participants in the second round had higher metabolic equivalent of tasks-minutes/week (median 1707.5 vs 840, P<.001) and minutes of moderate-to-vigorous PA per week (median 240 vs 105, P<.001) than those in the first round. After adjustment for significant background characteristics, participants who perceived a lack of physical capacity to perform PA (first round: adjusted odds ratio [AOR] 3.34, P=.001; second round: 2.92, P=.002) and believed that PA would cause pain and discomfort (first round: AOR 2.04, P=.02; second round: 2.82, P=.001) were more likely to have a low level of PA in both rounds. Lack of time (AOR 4.19, P=.01) and concern about COVID-19 infection during PA (AOR 1.73, P=.02) were associated with a low level of PA among participants in the first round, but not in the second round. A perceived lack of space and facility to perform PA at home (AOR 2.03, P=.02) and unable to find people to do PA with (AOR 1.80, P=.04) were associated with a low PA level in the second round, but not in the first round. CONCLUSIONS The level of PA increased significantly among older adults after Hong Kong entered the "postpandemic era." Different factors influenced older adults' PA level during and after the fifth wave of the COVID-19 outbreak. Regular monitoring of the PA level and its associated factors should be conducted to guide health promotion and policy-making.
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Affiliation(s)
| | - Yuan Fang
- Department of Health and Physical Education, The Education University of Hong Kong, Hong Kong, Hong Kong
| | - Paul Shing-Fong Chan
- Jockey Club School of Public Health and Primary Care, Chinese University of Hong Kong, Hong Kong, Hong Kong
| | - Fuk Yuen Yu
- Jockey Club School of Public Health and Primary Care, Chinese University of Hong Kong, Hong Kong, Hong Kong
| | - Fenghua Sun
- Department of Health and Physical Education, The Education University of Hong Kong, Hong Kong, Hong Kong
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12
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Raine LB, Erickson KI, Grove G, Watrous JNH, McDonald K, Kang C, Jakicic JM, Forman DE, Kramer AF, Burns JM, Vidoni ED, McAuley E, Hillman CH. Cardiorespiratory fitness levels and body mass index of pre-adolescent children and older adults during the COVID-19 pandemic. Front Public Health 2023; 10:1052389. [PMID: 36733279 PMCID: PMC9888666 DOI: 10.3389/fpubh.2022.1052389] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Accepted: 12/22/2022] [Indexed: 01/24/2023] Open
Abstract
Introduction The social and behavioral effects of the COVID-19 pandemic have impacted the health and physiology of most people, including those never diagnosed with COVID-19. While the impact of the pandemic has been felt across the lifespan, its effects on cardiorespiratory fitness (commonly considered a reflection of total body health) of older adults and children may be particularly profound due to social distancing and stay-at-home advisories, as well as the closure of sport facilities and non-essential businesses. The objective of this investigation was to leverage baseline data from two ongoing clinical trials to determine if cardiorespiratory fitness and body mass index were different during COVID-19 relative to before COVID-19 in older adults and children. Methods Healthy older individuals (N = 593; 65-80 years) and 200 typically developing children (8-10 years) completed a graded maximal exercise test and had their height and weight measured. Results Results revealed that older adults and children tested during COVID-19 had significantly lower cardiorespiratory fitness levels than those tested before COVID-19 shutdowns (older adults: 30% lower; children: 53% lower; p's ≤ 0.001). In addition, older adults and children tested during COVID-19 had significantly higher BMI (older adults: 31.34 ± 0.57 kg/m2, p = 0.004; children: 19.27 ± 0.44 kg/m2, p = 0.05) than those tested before COVID-19 shutdowns (older adults: 29.51 ± 0.26 kg/m2, children: 18.13 ± 0.35 kg/m2). However, these differences in BMI did not remain significant when controlling for cardiorespiratory fitness. Discussion Results from this investigation indicate that the COVID-19 pandemic, and behavior changes taken to reduce potential exposure, may have led to lower cardiorespiratory fitness levels in older adults and children, as well as higher body mass index. These findings provide relevant public health information as lower cardiorespiratory fitness levels and higher body mass indexes recorded during the pandemic could have far-reaching and protracted health consequences. Public health guidance is needed to encourage physical activity to maintain cardiorespiratory fitness and healthy body composition. Clinical trial registration Older adults: https://clinicaltrials.gov/ct2/show/NCT02875301, identifier: NCT02875301; Children: https://clinicaltrials.gov/ct2/show/NCT03592238, identifier: NCT03592238.
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Affiliation(s)
- Lauren B. Raine
- Department of Physical Therapy, Movement, and Rehabilitation Sciences, Northeastern University, Boston, MA, United States
| | - Kirk I. Erickson
- Department of Psychology, University of Pittsburgh, Pittsburgh, PA, United States
- PROFITH “PROmoting FITness and Health Through Physical Activity” Research Group, Department of Physical and Sports Education, Faculty of Sport Sciences, Sport and Health University Research Institute (iMUDS), University of Granada, Granada, Spain
- Research Institute, AdventHealth, Orlando, FL, United States
| | - George Grove
- Department of Psychology, University of Pittsburgh, Pittsburgh, PA, United States
| | | | - Katherine McDonald
- Department of Psychology, Northeastern University, Boston, MA, United States
| | - Chaeryon Kang
- Department of Biostatistics, University of Pittsburgh, Pittsburgh, PA, United States
| | - John M. Jakicic
- Department of Internal Medicine, University of Kansas Medical Center, Kansas City, KS, United States
| | - Daniel E. Forman
- Department of Medicine and Veterans Affairs Pittsburgh Healthcare System, Geriatrics, Research, Education and Clinical Care (GRECC), University of Pittsburgh, Pittsburgh, PA, United States
| | - Arthur F. Kramer
- Department of Psychology, Northeastern University, Boston, MA, United States
- Beckman Institute, University of Illinois, Urbana, IL, United States
| | - Jeffrey M. Burns
- Alzheimer's Disease Research Center, University of Kansas Medical Center Fairway, Fairway, KS, United States
| | - Eric D. Vidoni
- Alzheimer's Disease Research Center, University of Kansas Medical Center Fairway, Fairway, KS, United States
| | - Edward McAuley
- Beckman Institute, University of Illinois, Urbana, IL, United States
- Department of Kinesiology and Community Health, University of Illinois Urbana Champaign, Champaign, IL, United States
| | - Charles H. Hillman
- Department of Physical Therapy, Movement, and Rehabilitation Sciences, Northeastern University, Boston, MA, United States
- Department of Psychology, Northeastern University, Boston, MA, United States
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13
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Lin D, Sun Y, Yang Y, Han Y, Xu C. Urban park use and self-reported physical, mental, and social health during the COVID-19 pandemic: An on-site survey in Beijing, China. URBAN FORESTRY & URBAN GREENING 2023; 79:127804. [PMID: 36447619 PMCID: PMC9691510 DOI: 10.1016/j.ufug.2022.127804] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Revised: 11/22/2022] [Accepted: 11/22/2022] [Indexed: 06/16/2023]
Abstract
The COVID-19 pandemic created unprecedented challenges for people's health. Studies have demonstrated the positive impact of urban green spaces, particularly urban parks, on physical and mental health. However, few studies have evaluated social health, which is a component of human health, and more understanding of the relationship between urban parks and human health during the COVID-19 pandemic is required. This study examined the effects of urban parks on people's health using a canonical correlation model. Physical, mental, and social health were the dependent health variables, and five factors related to urban parks were the independent variables. This study investigated 22 urban parks inside the Forth Ring Road in Beijing, China using a questionnaire survey. The results demonstrated a positive association between urban parks and human health during the pandemic. Distance to the parks, park area, and park size were positively correlated with physical, mental, and social health. Furthermore, frequency and duration of visits to urban parks were positively associated with mental health and contact with neighbors. The health effects of urban park use varied with park types and locations' urbanization background. These findings can provide insights for health-oriented urban park planning and construction.
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Affiliation(s)
- Di Lin
- The Key Laboratory for Silviculture and Conservation of Ministry of Education, Key Laboratory for Silviculture and Forest Ecosystem of State Forestry and Grassland Administration, Research Center for Urban Forestry, Beijing Forestry University, Beijing, China
| | - Yan Sun
- The Key Laboratory for Silviculture and Conservation of Ministry of Education, Key Laboratory for Silviculture and Forest Ecosystem of State Forestry and Grassland Administration, Research Center for Urban Forestry, Beijing Forestry University, Beijing, China
| | - Yue Yang
- The Key Laboratory for Silviculture and Conservation of Ministry of Education, Key Laboratory for Silviculture and Forest Ecosystem of State Forestry and Grassland Administration, Research Center for Urban Forestry, Beijing Forestry University, Beijing, China
| | - Yi Han
- The Key Laboratory for Silviculture and Conservation of Ministry of Education, Key Laboratory for Silviculture and Forest Ecosystem of State Forestry and Grassland Administration, Research Center for Urban Forestry, Beijing Forestry University, Beijing, China
| | - Chengyang Xu
- The Key Laboratory for Silviculture and Conservation of Ministry of Education, Key Laboratory for Silviculture and Forest Ecosystem of State Forestry and Grassland Administration, Research Center for Urban Forestry, Beijing Forestry University, Beijing, China
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Barazzoni R, Breda J, Cuerda C, Schneider S, Deutz NE, Wickramasinghe K, Abbasoglu O, Meijerink JB, Bischoff S, Pelaez RB, Cardenas D, Cederholm T, Cereda E, Chourdakis M, Toulson Davisson Correia MI, Schuren MDVD, Delzenne N, Frias-Toral E, Genton L, Cappellari GG, Cakir BK, Klek S, Krznaric Z, Laviano A, Lobo D, Muscaritoli M, Ockenga J, Pirlich M, Serlie MJM, Shi HP, Singer P, Soop M, Walrand S, Weimann A. COVID-19: Lessons on malnutrition, nutritional care and public health from the ESPEN-WHO Europe call for papers. Clin Nutr 2022; 41:2858-2868. [PMID: 36075815 PMCID: PMC9365508 DOI: 10.1016/j.clnu.2022.07.033] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Accepted: 07/22/2022] [Indexed: 01/27/2023]
Abstract
With prolonged pandemic conditions, and emerging evidence but persisting low awareness of the importance of nutritional derangements, ESPEN has promoted in close collaboration with World Health Organization-Europe a call for papers on all aspects relating COVID-19 and nutrition as well as nutritional care, in the Society Journals Clinical Nutrition and Clinical Nutrition ESPEN. Although more COVID-related papers are being submitted and continue to be evaluated, ESPEN and WHO present the current editorial to summarize the many published findings supporting major interactions between nutritional status and COVID-19. These include 1) high risk of developing the disease and high risk of severe disease in the presence of pre-existing undernutrition (malnutrition) including micronutrient deficiencies; 2) high risk of developing malnutrition during the course of COVID-19, with substantial impact on long-term sequelae and risk of long COVID; 3) persons with obesity are also prone to develop or worsen malnutrition and its negative consequences during the course of COVID-19; 4) malnutrition screening and implementation of nutritional care may improve disease outcomes; 5) social and public health determinants contribute to the interaction between nutritional status and COVID-19, including negative impact of lockdown and social limitations on nutrition quality and nutritional status. We believe the evidence supports the need to consider COVID-19 as (also) a case of malnutrition-enhanced disease and disease-related malnutrition, with added risk for persons both with and without obesity. Similarities with many other disease conditions further support recommendations to implement standard nutritional screening and care in COVID-19 patients, and they underscore the relevance of appropriate nutritional and lifestyle prevention policies to limit infection risk and mitigate the negative health impact of acute pandemic bouts.
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Affiliation(s)
- Rocco Barazzoni
- Corresponding author. Department of Medical, Surgical and Health Sciences, Cattinara University Hospital, Strada di Fiume 447, 34149 Trieste, Italy
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15
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Vigezzi GP, Bertuccio P, Bossi CB, Amerio A, d'Oro LC, Derosa G, Iacoviello L, Stuckler D, Zucchi A, Lugo A, Gallus S, Odone A. COVID-19 pandemic impact on people with diabetes: results from a large representative sample of Italian older adults. Prim Care Diabetes 2022; 16:650-657. [PMID: 35778238 PMCID: PMC9212916 DOI: 10.1016/j.pcd.2022.06.001] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Revised: 05/31/2022] [Accepted: 06/13/2022] [Indexed: 01/31/2023]
Abstract
AIMS Restrictions imposed to prevent SARS-CoV-2 transmission should be weighed against consequences on vulnerable groups' health. Lifestyles and disease management of older people with diabetes might have been differentially impacted compared to non-chronic individuals. METHODS A cross-sectional study (LOST in Lombardia) was conducted on a representative full sample of 4 400 older adults (17th-30th November 2020), collecting data on lifestyles, mental health and access to care before and during the pandemic. RESULTS We compared 947 (51.9%) people with diabetes and 879 (48.1%) healthy subjects reporting no chronic conditions. People with diabetes reported more frequently increased physical activity (odds ratio, OR 2.65, 95% confidence internals, CI 1.69-4.13), drinks/week reduction (OR 6.27, 95%CI 3.59-10.95), increased consumption of fruit (OR 2.06, 95%CI 1.62-2.63), vegetables (OR 1.41, 95%CI 1.10-1.82), fish (OR 2.51, 95%CI 1.74-3.64) and olive oil (OR 3.54, 95%CI 2.30-5.46). People with diabetes increased telephone contacts with general practitioners (OR 3.70, 95%CI 2.83-4.83), hospitalisations (OR 9.01, 95%CI 3.96-20.51), visits and surgeries cancellations (OR 3.37, 95%CI 2.58-4.42) and treatment interruptions (OR 1.95, 95%CI 1.33-2.86). CONCLUSIONS Pandemic adverse effects occurred but are heterogenous in a population with chronic diseases, who seized the opportunity to improve health behaviours, despite health system difficulties guaranteeing routine care, within and beyond COVID-19.
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Affiliation(s)
- Giacomo Pietro Vigezzi
- Department of Public Health, Experimental and Forensic Medicine, University of Pavia, Pavia, Italy; Collegio Ca' della Paglia, Fondazione Ghislieri, Pavia, Italy
| | - Paola Bertuccio
- Department of Public Health, Experimental and Forensic Medicine, University of Pavia, Pavia, Italy
| | - Camilla Bonfadini Bossi
- Department of Public Health, Experimental and Forensic Medicine, University of Pavia, Pavia, Italy
| | - Andrea Amerio
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Section of Psychiatry, University of Genoa, Genoa, Italy; IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | | | - Giuseppe Derosa
- Department of Internal Medicine and Therapeutics, University of Pavia, Pavia, Italy; Centre of Diabetes and Metabolic Diseases, University of Pavia and IRCCS Policlinico San Matteo Foundation, Pavia, Italy
| | - Licia Iacoviello
- Department of Medicine and Surgery, Research Center in Epidemiology and Preventive Medicine (EPIMED), University of Insubria, Varese, Italy; Department of Epidemiology and Prevention, IRCCS Neuromed, Pozzilli, Italy
| | - David Stuckler
- Department of Social and Political Sciences, Bocconi University, Milan, Italy
| | - Alberto Zucchi
- Epidemiology Unit, Bergamo Health Protection Agency, Bergamo, Italy
| | - Alessandra Lugo
- Department of Environmental Health Sciences, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
| | - Silvano Gallus
- Department of Environmental Health Sciences, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
| | - Anna Odone
- Department of Public Health, Experimental and Forensic Medicine, University of Pavia, Pavia, Italy.
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16
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Vigezzi GP, Bertuccio P, Amerio A, Bosetti C, Gori D, Cavalieri d’Oro L, Iacoviello L, Stuckler D, Zucchi A, Gallus S, Odone A, Investigators LILP. Older Adults' Access to Care during the COVID-19 Pandemic: Results from the LOckdown and LifeSTyles (LOST) in Lombardia Project. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph191811271. [PMID: 36141544 PMCID: PMC9565221 DOI: 10.3390/ijerph191811271] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Revised: 08/23/2022] [Accepted: 08/30/2022] [Indexed: 05/25/2023]
Abstract
The COVID-19 pandemic disproportionally affected older people in terms of clinical outcomes and care provision. We aimed to investigate older adults' changes in access to care during the pandemic and their determinants. We used data from a cross-sectional study (LOST in Lombardia) conducted in autumn 2020 on a representative sample of 4400 older adults from the most populated region in Italy. Lifestyles, mental health, and access to healthcare services before and during the pandemic were collected. To identify factors associated with care delays, reduction in emergency department (ED) access, and hospitalisations, we estimated prevalence ratios (PR) and 95% confidence intervals (CI) using multivariable log-binomial regression models. During the pandemic, compared to the year before, 21.5% of the study population increased telephone contacts with the general practitioner (GP) and 9.6% increased self-pay visits, while 22.4% decreased GP visits, 12.3% decreased outpatient visits, 9.1% decreased diagnostic exams, 7.5% decreased ED access, and 6% decreased hospitalisations. The prevalence of care delays due to patient's decision (overall 23.8%) was higher among men (PR 1.16, 95% CI 1.05-1.29), subjects aged 75 years or more (PR 1.12, 95% CI 1.00-1.25), and those with a higher economic status (p for trend < 0.001). Participants with comorbidities more frequently cancelled visits and reduced ED access or hospitalisations, while individuals with worsened mental health status reported a higher prevalence of care delays and ED access reductions. Access to care decreased in selected sub-groups of older adults during the pandemic with likely negative impacts on mortality and morbidity in the short and long run.
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Affiliation(s)
- Giacomo Pietro Vigezzi
- Department of Public Health, Experimental and Forensic Medicine, University of Pavia, 27100 Pavia, Italy
- Collegio Ca’ della Paglia, Fondazione Ghislieri, 27100 Pavia, Italy
| | - Paola Bertuccio
- Department of Public Health, Experimental and Forensic Medicine, University of Pavia, 27100 Pavia, Italy
| | - Andrea Amerio
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), Section of Psychiatry, University of Genoa, 16124 Genoa, Italy
- IRCCS San Martino Polyclinic Hospital, 16132 Genoa, Italy
| | - Cristina Bosetti
- Department of Oncology, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, 20156 Milan, Italy
| | - Davide Gori
- Department of Biomedical and Neuromotor Science, University of Bologna, 40126 Bologna, Italy
| | | | - Licia Iacoviello
- Research Center in Epidemiology and Preventive Medicine (EPIMED), Department of Medicine and Surgery, University of Insubria, 21100 Varese, Italy
- Department of Epidemiology and Prevention, IRCCS Neuromed, 86077 Pozzilli, Italy
| | - David Stuckler
- Department of Social and Political Sciences, Bocconi University, 20100 Milan, Italy
| | - Alberto Zucchi
- Epidemiology Unit, Bergamo Health Protection Agency, 24121 Bergamo, Italy
| | - Silvano Gallus
- Department of Environmental Health Sciences, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, 20156 Milan, Italy
| | - Anna Odone
- Department of Public Health, Experimental and Forensic Medicine, University of Pavia, 27100 Pavia, Italy
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