1
|
Shi Z, Stern N, Liu J, Tuomilehto J, Kronfeld-Schor N, El-Osta A, Alberti G, Chai Z, Bilu C, Einat H, Marcus Y, Zimmet P. The circadian syndrome is a predictor for cognition impairment in middle-aged adults: Comparison with the metabolic syndrome. Diabetes Metab Res Rev 2024; 40:e3827. [PMID: 38837323 DOI: 10.1002/dmrr.3827] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 01/02/2024] [Accepted: 04/15/2024] [Indexed: 06/07/2024]
Abstract
AIMS Circadian syndrome (CircS) is considered a better predictor for cardiovascular disease than the metabolic syndrome (MetS). We aim to examine the associations between CircS and MetS with cognition in Chinese adults. METHOD We used the data of 8546 Chinese adults aged ≥40 years from the 2011 China Health and Retirement Longitudinal Study. MetS was defined using harmonised criteria. CircS included the components of MetS plus short sleep and depression. The cut-off for CircS was set as ≥4. Global cognitive function was assessed during the face-to-face interview. RESULTS CircS and MetS had opposite associations with the global cognition score and self-reported poor memory. Compared with individuals without the CircS and MetS, the regression coefficients (95%CI) for global cognition score were -1.02 (-1.71 to -0.34) for CircS alone and 0.52 (0.09 to 0.96) for MetS alone in men; -1.36 (-2.00 to -0.72) for CircS alone and 0.60 (0.15 to 1.06) for MetS alone in women. Having CircS alone was 2.53 times more likely to report poor memory in men (95%CI 1.80-3.55) and 2.08 times more likely in women (95%CI 1.54-2.81). In contrast, having MetS alone was less likely to report poor memory (OR 0.64 (0.49-0.84) in men and 0.65 (0.52-0.81) in women). People with CircS and MetS combined were more likely to have self-reported poor memory. CONCLUSIONS CircS is a strong and better predictor for cognition impairment than MetS in Chinese middle-aged adults. MetS without short sleep and depression is associated with better cognition.
Collapse
Affiliation(s)
- Zumin Shi
- Human Nutrition Department, College of Health Sciences, QU Health, Qatar University, Doha, Qatar
| | - Naftali Stern
- Sagol Center for Epigenetics of Aging and Metabolism, Tel Aviv-Sourasky Medical Center, Tel Aviv, Israel
- Faculty of Medicine and The Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel
| | - Jianghong Liu
- University of Pennsylvania School of Nursing, Philadelphia, Pennsylvania, USA
| | - Jaakko Tuomilehto
- Department of Public Health, University of Helsinki, Helsinki, Finland
- Population Health Unit, Finnish Institute for Health and Welfare, Helsinki, Finland
- Saudi Diabetes Research Group, King Abdulaziz University, Jeddah, Saudi Arabia
| | | | - Assam El-Osta
- Department of Diabetes, School of Translational Medicine, Monash University, Melbourne, Victoria, Australia
- Epigenetics in Human Health and Disease, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - George Alberti
- Department of Endocrinology and Metabolism, Imperial College London, London, UK
| | - Zhonglin Chai
- Department of Diabetes, School of Translational Medicine, Monash University, Melbourne, Victoria, Australia
| | - Carmel Bilu
- School of Zoology, Tel Aviv University, Tel Aviv, Israel
| | - Haim Einat
- School of Behavioural Sciences, Tel Aviv-Yaffo Academic College, Tel Aviv, Israel
| | - Yonit Marcus
- Sagol Center for Epigenetics of Aging and Metabolism, Tel Aviv-Sourasky Medical Center, Tel Aviv, Israel
- Faculty of Medicine and The Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel
| | - Paul Zimmet
- Sagol Center for Epigenetics of Aging and Metabolism, Tel Aviv-Sourasky Medical Center, Tel Aviv, Israel
- Department of Diabetes, School of Translational Medicine, Monash University, Melbourne, Victoria, Australia
| |
Collapse
|
2
|
Mohammadi S, Ghaderi S, Sayehmiri F, Fathi M. Quantitative susceptibility mapping for iron monitoring of multiple subcortical nuclei in type 2 diabetes mellitus: a systematic review and meta-analysis. Front Endocrinol (Lausanne) 2024; 15:1331831. [PMID: 38510699 PMCID: PMC10950952 DOI: 10.3389/fendo.2024.1331831] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Accepted: 02/19/2024] [Indexed: 03/22/2024] Open
Abstract
Introduction Iron accumulation in the brain has been linked to diabetes, but its role in subcortical structures involved in motor and cognitive functions remains unclear. Quantitative susceptibility mapping (QSM) allows the non-invasive quantification of iron deposition in the brain. This systematic review and meta-analysis examined magnetic susceptibility measured by QSM in the subcortical nuclei of patients with type 2 diabetes mellitus (T2DM) compared with controls. Methods PubMed, Scopus, and Web of Science databases were systematically searched [following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines] for studies reporting QSM values in the deep gray matter (DGM) regions of patients with T2DM and controls. Pooled standardized mean differences (SMDs) for susceptibility were calculated using fixed-effects meta-analysis models, and heterogeneity was assessed using I2. Sensitivity analyses were conducted, and publication bias was evaluated using Begg's and Egger's tests. Results Six studies including 192 patients with T2DM and 245 controls were included. This study found a significant increase in iron deposition in the subcortical nuclei of patients with T2DM compared to the control group. The study found moderate increases in the putamen (SMD = 0.53, 95% CI 0.33 to 0.72, p = 0.00) and dentate nucleus (SMD = 0.56, 95% CI 0.27 to 0.85, p = 0.00) but weak associations between increased iron levels in the caudate nucleus (SMD = 0.32, 95% CI 0.13 to 0.52, p = 0.00) and red nucleus (SMD = 0.22, 95% CI 0.00 0.44, p = 0.05). No statistical significance was found for iron deposition alterations in the globus pallidus (SMD = 0.19; 95% CI -0.01 to 0.38; p = 0.06) and substantia nigra (SMD = 0.12, 95% CI -0.10, 0.34, p = 0.29). Sensitivity analysis showed that the findings remained unaffected by individual studies, and consistent increases were observed in multiple subcortical areas. Discussion QSM revealed an increase in iron in the DGM/subcortical nuclei in T2DM patients versus controls, particularly in the motor and cognitive nuclei, including the putamen, dentate nucleus, caudate nucleus, and red nucleus. Thus, QSM may serve as a potential biomarker for iron accumulation in T2DM patients. However, further research is needed to validate these findings.
Collapse
Affiliation(s)
- Sana Mohammadi
- Department of Medical Sciences, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Sadegh Ghaderi
- Department of Neuroscience and Addiction Studies, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Fatemeh Sayehmiri
- Skull Base Research Center, Loghman Hakim Hospital, Shahid Beheshti University of Medical Science, Tehran, Iran
| | - Mobina Fathi
- Student Research Committee, Faculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| |
Collapse
|
3
|
Meng Q, Liu M, Zu C, Su X, Wei Y, Gan X, Zhang Y, He P, Zhou C, Ye Z, Liu C, Qin X. L-shaped association between dietary zinc intake and cognitive decline in Chinese older people. Age Ageing 2024; 53:afae008. [PMID: 38287702 DOI: 10.1093/ageing/afae008] [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: 06/12/2023] [Indexed: 01/31/2024] Open
Abstract
BACKGROUND AND OBJECTIVE The prospective association between dietary zinc (Zn) intake and cognitive decline remains uncertain. We aimed to assess the relationship of dietary Zn intake with the risk of cognitive decline in the Chinese older people, and examine the possible effect modifiers on this association. METHODS A total of 3,106 older Chinese adults aged 55 years or older from China Health and Nutrition Survey were included. Dietary nutrients intake information was collected by combined 24-h dietary recalls with weighing food inventory. The cognitive decline was defined as the 5-year decline rate in global and composite cognitive scores, based on a subset of items from the Telephone Interview for Cognitive Status-modified. RESULTS The median follow-up duration was 5.9 years. There was an L-shaped association between dietary Zn intake and the 5-year decline rates in global and composite cognitive scores, with an inflection point at 8.8 mg/day of dietary Zn. For the composite cognitive scores, compared with the first quantile (<7.9 mg/day) of dietary Zn intake, quantiles 2-6 (≥7.9 mg/day) had a significantly slower cognitive decline rate (β: -0.24; 95% confidence interval: -0.40 to -0.07). Similar results were found for the global cognitive scores. Moreover, the inverse association between dietary Zn intake and cognitive decline in composite cognitive scores was significantly stronger in those with lower levels of physical activity (P-interactions = 0.041). CONCLUSION Dietary Zn intake was negatively associated with cognitive decline in the older people. Maintaining appropriate dietary Zn levels may prevent cognitive decline.
Collapse
Affiliation(s)
- Qiguo Meng
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, Guangdong 510515, China
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China
- Institute of Biomedicine, Anhui Medical University, Hefei, Anhui 230032, China
| | - Mengyi Liu
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, Guangdong 510515, China
| | - Cheng Zu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China
- Institute of Biomedicine, Anhui Medical University, Hefei, Anhui 230032, China
| | - Xinyue Su
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China
- Institute of Biomedicine, Anhui Medical University, Hefei, Anhui 230032, China
| | - Yuanxiu Wei
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China
- Institute of Biomedicine, Anhui Medical University, Hefei, Anhui 230032, China
| | - Xiaoqin Gan
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, Guangdong 510515, China
| | - Yuanyuan Zhang
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, Guangdong 510515, China
| | - Panpan He
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, Guangdong 510515, China
| | - Chun Zhou
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, Guangdong 510515, China
| | - Ziliang Ye
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, Guangdong 510515, China
| | - Chengzhang Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China
- Institute of Biomedicine, Anhui Medical University, Hefei, Anhui 230032, China
| | - Xianhui Qin
- Division of Nephrology, Nanfang Hospital, Southern Medical University; National Clinical Research Center for Kidney Disease; State Key Laboratory of Organ Failure Research; Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, Guangdong 510515, China
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China
- Institute of Biomedicine, Anhui Medical University, Hefei, Anhui 230032, China
| |
Collapse
|
4
|
Donat-Vargas C, Mico V, San-Cristobal R, Martínez-González MÁ, Salas-Salvadó J, Corella D, Fitó M, Alonso-Gómez ÁM, Wärnberg J, Vioque J, Romaguera D, López-Miranda J, Estruch R, Damas-Fuentes M, Lapetra J, Serra-Majem L, Bueno-Cavanillas A, Tur JA, Cinza-Sanjurjo S, Pintó X, Delgado-Rodríguez M, Matía-Martín P, Vidal J, Causso C, Ros E, Toledo E, Manzanares JM, Ortega-Azorín C, Castañer O, Peña-Orihuela PJ, Zazo JM, Muñoz Bravo C, Martinez-Urbistondo D, Chaplin A, Casas R, Cano Ibáñez N, Tojal-Sierra L, Gómez-Perez AM, Pascual Roquet-Jalmar E, Mestre C, Barragán R, Schröder H, Garcia-Rios A, Candela García I, Ruiz-Canela M, Babio N, Malcampo M, Daimiel L, Martínez A. Dietary Iron, Anemia Markers, Cognition, and Quality of Life in Older Community-Dwelling Subjects at High Cardiovascular Risk. Nutrients 2023; 15:4440. [PMID: 37892515 PMCID: PMC10610130 DOI: 10.3390/nu15204440] [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: 08/03/2023] [Revised: 10/05/2023] [Accepted: 10/10/2023] [Indexed: 10/29/2023] Open
Abstract
Anemia causes hypo-oxygenation in the brain, which could lead to cognitive disorders. We examined dietary iron intake as well as anemia markers (i.e., hemoglobin, hematocrit, mean corpuscular volume) and diabetes coexistence in relation to neuropsychological function and quality of life. In this study, 6117 community-dwelling adults aged 55-75 years (men) and 60-75 years (women) with overweight/obesity and metabolic syndrome were involved. We performed the Mini-Mental State Examination (MMSE), the Trail Making Test parts A and B (TMT-A/B), Semantic Verbal Fluency of animals (VFT-a), Phonological Verbal Fluency of letter P (VFT-p), Digit Span Test (DST), the Clock Drawing Test (CDT), and the Short Form-36 Health Survey (SF36-HRQL test). Dietary iron intake did not influence neuropsychological function or quality of life. However, anemia and lower levels of anemia markers were associated with worse scores in all neurophysiological and SF36-HRQL tests overall, but were especially clear in the MMSE, TMT-B (cognitive flexibility), and the physical component of the SF36-HRQL test. The relationships between anemia and diminished performance in the TMT-A/B and VFT tasks were notably pronounced and statistically significant solely among participants with diabetes. In brief, anemia and reduced levels of anemia markers were linked to inferior cognitive function, worse scores in different domains of executive function, as well as a poorer physical, but not mental, component of quality of life. It was also suggested that the coexistence of diabetes in anemic patients may exacerbate this negative impact on cognition. Nevertheless, dietary iron intake showed no correlation with any of the outcomes. To make conclusive recommendations for clinical practice, our findings need to be thoroughly tested through methodologically rigorous studies that minimize the risk of reverse causality.
Collapse
Affiliation(s)
- Carolina Donat-Vargas
- ISGlobal, Campus Mar, 08036 Barcelona, Spain
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain; (J.V.); (A.B.-C.); (N.C.I.); (H.S.)
| | - Víctor Mico
- Cardiometabolic Nutrition Group, IMDEA Food, CEI UAM + CSIC, 28049 Madrid, Spain; (V.M.); (R.S.-C.); (M.D.-R.)
| | - Rodrigo San-Cristobal
- Cardiometabolic Nutrition Group, IMDEA Food, CEI UAM + CSIC, 28049 Madrid, Spain; (V.M.); (R.S.-C.); (M.D.-R.)
| | - Miguel Ángel Martínez-González
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Department of Preventive Medicine and Public Health, University of Navarra, IDISNA, 31008 Pamplona, Spain
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA
| | - Jordi Salas-Salvadó
- Unitat de Nutrició Humana, Departament de Bioquímica i Biotecnologia, Universitat Rovira i Virgili, 43201 Reus, Spain; (J.S.-S.); (J.M.M.)
- Food, Nutrition, Development and Mental Health Research Group, Institut d’Investigació Pere Virgili (IISPV), 43204 Reus, Spain
- Department of Preventive Medicine, University of Valencia, 46010 Valencia, Spain
| | - Dolores Corella
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Department of Preventive Medicine, University of Valencia, 46010 Valencia, Spain
| | - Montserrat Fitó
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d’Investigació Médica (IMIM), 08003 Barcelona, Spain; (O.C.); (M.M.)
| | - Ángel Maria Alonso-Gómez
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, 01009 Vitoria-Gasteiz, Spain
| | - Julia Wärnberg
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- EpiPHAAN Research Group, Department of Nursing, School of Health Sciences, University of Málaga-IBIMA (Instituto de Investigación Biomédica de Málaga), 29071 Málaga, Spain
| | - Jesús Vioque
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain; (J.V.); (A.B.-C.); (N.C.I.); (H.S.)
- Instituto de Investigación Sanitaria y Biomédica de Alicante, Universidad Miguel Hernández (ISABIAL-UMH), 03010 Alicante, Spain
| | - Dora Romaguera
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
| | - José López-Miranda
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, 14004 Córdoba, Spain
| | - Ramon Estruch
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Department of Internal Medicine, Institut d’Investigació Biomèdica August Pi I Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, 08036 Barcelona, Spain
| | - Miguel Damas-Fuentes
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Department of Endocrinology, Instituto de Investigación Biomédica de Málaga (IBIMA), Virgen de la Victoria Hospital, University of Málaga, 29016 Málaga, Spain
| | - José Lapetra
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, 41013 Sevilla, Spain
| | - Luís Serra-Majem
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- 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, Spain
| | - Aurora Bueno-Cavanillas
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain; (J.V.); (A.B.-C.); (N.C.I.); (H.S.)
- Department of Preventive Medicine and Public Health, University of Granada, 18016 Granada, Spain
| | - Josep Antoni Tur
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
- Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, 07122 Palma de Mallorca, Spain
| | - Sergio Cinza-Sanjurjo
- CS Milladoiro, Área Sanitaria de Santiago de Compostela, 15706 Santiago de Compostela, Spain;
- Instituto de Investigación de Santiago de Compostela (IDIS), 15706 Santiago de Compostela, Spain
- Departamento de Medicina, Universidad de Santiago de Compostela, 15701 Santiago de Compostela, Spain
| | - Xavier Pintó
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge, Hospitalet de Llobregat, 08907 Barcelona, Spain
| | - Miguel Delgado-Rodríguez
- Cardiometabolic Nutrition Group, IMDEA Food, CEI UAM + CSIC, 28049 Madrid, Spain; (V.M.); (R.S.-C.); (M.D.-R.)
- 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
- Department of Endocrinology, IDIBAPS, Hospital Clinic, University of Barcelona, 08036 Barcelona, Spain;
- Biomedical Research Centre for Diabetes and Metabolic Diseases Network (CIBERDEM), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
| | - Claudia Causso
- Servicio de Endocrinologia Hospital General de Villalba, 28400 Madrid, Spain;
| | - Emilio Ros
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Lipid Clinic, Department of Endocrinology and Nutrition, Institut d’Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Hospital Clínic, 08036 Barcelona, Spain
| | - Estefanía Toledo
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Department of Preventive Medicine and Public Health, University of Navarra, IDISNA, 31008 Pamplona, Spain
| | - Josep Maria Manzanares
- Unitat de Nutrició Humana, Departament de Bioquímica i Biotecnologia, Universitat Rovira i Virgili, 43201 Reus, Spain; (J.S.-S.); (J.M.M.)
| | - Carolina Ortega-Azorín
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Department of Preventive Medicine, University of Valencia, 46010 Valencia, Spain
| | - Olga Castañer
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d’Investigació Médica (IMIM), 08003 Barcelona, Spain; (O.C.); (M.M.)
| | - Patricia Judith Peña-Orihuela
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, 14004 Córdoba, Spain
| | - Juan Manuel Zazo
- Department of Preventive Medicine and Public Health, School of Medicine, Instituto de Investigación Biomédica de Málaga, University of Málaga, 29590 Málaga, Spain;
| | - Carlos Muñoz Bravo
- Department of Public Health and Psychiatry, University of Malaga-IBIMA (Instituto de Investigación Biomédica de Málaga), 29071 Málaga, Spain
| | | | - Alice Chaplin
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Health Research Institute of the Balearic Islands (IdISBa), 07120 Palma de Mallorca, Spain
| | - Rosa Casas
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Department of Internal Medicine, Institut d’Investigació Biomèdica August Pi I Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, 08036 Barcelona, Spain
| | - Naomi Cano Ibáñez
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain; (J.V.); (A.B.-C.); (N.C.I.); (H.S.)
- Department of Preventive Medicine and Public Health, University of Granada, 18016 Granada, Spain
- Instituto de Investigación Biosanitaria ibs.Granada, 18012 Granada, Spain
| | - Lucas Tojal-Sierra
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Bioaraba Health Research Institute, Osakidetza Basque Health Service, Araba University Hospital, University of the Basque Country UPV/EHU, 01009 Vitoria-Gasteiz, Spain
| | - Ana María Gómez-Perez
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Department of Endocrinology, Instituto de Investigación Biomédica de Málaga (IBIMA), Virgen de la Victoria Hospital, University of Málaga, 29016 Málaga, Spain
| | | | - Cristina Mestre
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Unitat de Nutrició Humana, Departament de Bioquímica i Biotecnologia, Universitat Rovira i Virgili, 43201 Reus, Spain; (J.S.-S.); (J.M.M.)
- Food, Nutrition, Development and Mental Health Research Group, Institut d’Investigació Pere Virgili (IISPV), 43204 Reus, Spain
| | - Rocío Barragán
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Department of Preventive Medicine, University of Valencia, 46010 Valencia, Spain
| | - Helmut Schröder
- CIBER de Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, 28029 Madrid, Spain; (J.V.); (A.B.-C.); (N.C.I.); (H.S.)
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d’Investigació Médica (IMIM), 08003 Barcelona, Spain; (O.C.); (M.M.)
| | - Antonio Garcia-Rios
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba, 14004 Córdoba, Spain
| | | | - Miguel Ruiz-Canela
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Department of Preventive Medicine and Public Health, University of Navarra, IDISNA, 31008 Pamplona, Spain
| | - Nancy Babio
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Unitat de Nutrició Humana, Departament de Bioquímica i Biotecnologia, Universitat Rovira i Virgili, 43201 Reus, Spain; (J.S.-S.); (J.M.M.)
- Food, Nutrition, Development and Mental Health Research Group, Institut d’Investigació Pere Virgili (IISPV), 43204 Reus, Spain
| | - Mireia Malcampo
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d’Investigació Médica (IMIM), 08003 Barcelona, Spain; (O.C.); (M.M.)
| | - Lidia Daimiel
- Nutritional Control of the Epigenome Group, Precision Nutrition and Obesity Program, IMDEA Food, CEI UAM + CSIC, 28049 Madrid, Spain;
| | - Alfredo Martínez
- Cardiometabolic Nutrition Group, IMDEA Food, CEI UAM + CSIC, 28049 Madrid, Spain; (V.M.); (R.S.-C.); (M.D.-R.)
- Biomedical Research Centre for Obesity Physiopathology and Nutrition Network (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain; (M.Á.M.-G.); (D.C.); (M.F.); (Á.M.A.-G.); (J.W.); (D.R.); (J.L.-M.); (R.E.); (M.D.-F.); (J.L.); (L.S.-M.); (J.A.T.); (X.P.); (E.R.); (E.T.); (C.O.-A.); (P.J.P.-O.); (A.C.); (R.C.); (L.T.-S.); (A.M.G.-P.); (C.M.); (R.B.); (A.G.-R.); (M.R.-C.); (N.B.)
- Department of Nutrition, Food Sciences and Physiology, University of Navarra, 31008 Pamplona, Spain
| |
Collapse
|
5
|
Yan Y, Li B, Li F, Zhou X, Li T, Li Y, Liu C, Wang S, Cong Y, Deng Y, Wang Z, Zhou J, Rong S. The relationship between mushroom consumption and cognitive performance among middle-aged and older adults: a cross-sectional study. Food Funct 2023; 14:7663-7671. [PMID: 37540100 DOI: 10.1039/d3fo01101a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/05/2023]
Abstract
Objectives: Bioactive compounds in mushrooms may protect the brain from neurodegeneration by inhibiting the production of amyloid-β and playing an antioxidant role. This study aimed at examining the associations of mushroom consumption with cognitive function and mild cognitive impairment (MCI) among middle-aged and older adults in China. Design: A cross-sectional study. Setting and participants: This study was conducted in seven cities in China and included 2203 middle-aged and older adults. Methods: Data on mushroom consumption were collected using a semi-quantitative food frequency questionnaire. Cognitive function was evaluated by the Auditory Verbal Learning Test (AVLT), Verbal Fluency Test (VFT), Digit Symbol Substitution Test (DSST), and Trail Making Test-B (TMT-B). The composite z score was used to reflect global cognition. MCI was determined according to the Petersen criteria. Multiple linear regression and logistic regression were used to examine the relationship between mushroom consumption and cognitive performance. Results: This study included 2203 participants aged 55 years and above (mean age = 63.43 years). After controlling demographic characteristics, lifestyle factors, other dietary factors, and history of chronic disease, higher mushroom consumption was associated with better global cognition. Compared to the lowest quartile (Q1, 0-4.00 g day-1), the βs (95% confidence intervals, 95% CIs) were 0.10 (0.03, 0.18) for Q2 (4.01-10.42 g day-1), 0.13 (0.06, 0.20) for Q3 (10.43-20.84 g day-1), and 0.13 (0.06, 0.20) for Q4 (>20.84 g day-1). The higher mushroom consumption was positively related to better performance in DSST and TMT-B (P-values < 0.05). A 10 g day-1 increment in mushroom consumption was related to 12% lower odds of MCI (odds ratio = 0.88, 95% CI: 0.80-0.97). Conclusions: Higher mushroom consumption was positively related to better cognitive function and associated with lower odds of MCI. Further studies are needed to replicate our findings in other populations and determine the underlying mechanisms.
Collapse
Affiliation(s)
- Yaqiong Yan
- Department of Non-communicable Chronic Disease Prevention and Control, Wuhan Center for Disease Control and Prevention, 288 Machang Road, Wuhan 430024, China
| | - Benchao Li
- Academy of Nutrition and Health, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China.
| | - Fengping Li
- Department of Nutrition, School of Public Health, Wuhan University, Research Center of Public Health, Renmin Hospital of Wuhan University, No.115 Donghu Road, Wuhan 430071, China
| | - Xiaoqi Zhou
- Department of Non-communicable Chronic Disease Prevention and Control, Wuhan Center for Disease Control and Prevention, 288 Machang Road, Wuhan 430024, China
| | - Tingting Li
- Academy of Nutrition and Health, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China.
| | - Yuanyuan Li
- Department of Nutrition, School of Public Health, Wuhan University, Research Center of Public Health, Renmin Hospital of Wuhan University, No.115 Donghu Road, Wuhan 430071, China
| | - Changshu Liu
- Standard Foods (China) Co., Ltd., Taicang Port Economic and Technological Development Zone New Zone, No. 88 Dalian West Road, Suzhou, China
| | - Sai Wang
- Standard Foods (China) Co., Ltd., Taicang Port Economic and Technological Development Zone New Zone, No. 88 Dalian West Road, Suzhou, China
| | - Yang Cong
- Standard Foods (China) Co., Ltd., Taicang Port Economic and Technological Development Zone New Zone, No. 88 Dalian West Road, Suzhou, China
| | - Yan Deng
- Academy of Nutrition and Health, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China.
| | - Ziping Wang
- Academy of Nutrition and Health, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China.
| | - Jin Zhou
- Chinese Nutrition Society (CNS) Academy of Nutrition and Health (Beijing Zhongyinghui Nutrition and Health Research Institute), China
| | - Shuang Rong
- Academy of Nutrition and Health, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, School of Public Health, Wuhan University of Science and Technology, Wuhan 430065, China.
- Department of Nutrition, School of Public Health, Wuhan University, Research Center of Public Health, Renmin Hospital of Wuhan University, No.115 Donghu Road, Wuhan 430071, China
| |
Collapse
|
6
|
Zhou YF, Song XY, Pan A, Koh WP. Nutrition and Healthy Ageing in Asia: A Systematic Review. Nutrients 2023; 15:3153. [PMID: 37513571 PMCID: PMC10383719 DOI: 10.3390/nu15143153] [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: 06/15/2023] [Revised: 07/05/2023] [Accepted: 07/12/2023] [Indexed: 07/30/2023] Open
Abstract
BACKGROUND Nutrition plays a key role in modulating the likelihood of healthy ageing. In the present study, we aimed to conduct a systematic review to assess the impact of nutrition on healthy ageing in Asia. METHODS The systematic review was registered in the International Prospective Register of Systematic Reviews database (CRD42023408936) and conducted based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. The PubMed, Web of Science, and Embase databases were searched up to February 2023 without language restrictions. We included prospective cohort studies that evaluated the associations of intake of a single food or consumption of a single nutrient at midlife; adherence to various dietary patterns at midlife; and improved adherence to dietary patterns from mid- to late life with the likelihood of healthy ageing and its components. RESULTS Out of 16,373 records, we included 71 papers comprising 24 cohorts from Singapore, China, Japan, and Thailand. The healthy ageing components included cognitive function, physical function, and depression. The majority of studies supported the observation that the likelihood of healthy ageing and its components in late life was positively increased by a higher consumption of healthy foods, such as vegetables, fruits, fish, nuts, legumes, tea, milk, and dairy, at midlife, and also by greater adherence to dietary patterns with high diversity scores or high total antioxidant capacities. Furthermore, improved adherence to healthy dietary patterns from mid- to late life also increased the likelihood of healthy ageing in late life. CONCLUSION Consuming healthy foods and adhering to healthy dietary patterns at midlife can promote the likelihood of healthy ageing. Moreover, improving diet quality from mid- to late life can still be beneficial.
Collapse
Affiliation(s)
- Yan-Feng Zhou
- Department of Social Medicine, School of Public Health, Guangxi Medical University, Nanning 530021, China
| | - Xing-Yue Song
- Department of Emergency, Hainan Clinical Research Center for Acute and Critical Diseases, The Second Affiliated Hospital of Hainan Medical University, Haikou 570311, China
| | - An Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430032, China
| | - Woon-Puay Koh
- Healthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119077, Singapore
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research (A*STAR), Singapore 138632, Singapore
| |
Collapse
|
7
|
Huang L, Tao Y, Chen H, Chen X, Shen J, Zhao C, Xu X, He M, Zhu D, Zhang R, Yang M, Zheng Y, Yuan C. MIND diet and cognitive function and its decline: A prospective study and meta-analysis of prospective cohort studies. Am J Clin Nutr 2023:S0002-9165(23)47385-6. [PMID: 37105521 DOI: 10.1016/j.ajcnut.2023.04.025] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Revised: 04/17/2023] [Accepted: 04/20/2023] [Indexed: 04/29/2023] Open
Abstract
BACKGROUND Evidence on the association of the Mediterranean-DASH Intervention for Neurodegenerative Delay (MIND) diet with cognitive aging is limited and inconsistent. OBJECTIVE We examined how the MIND diet is related to cognitive function and its decline among middle-aged and older adults. METHODS We included 4066 participants with baseline dietary assessment and at least one cognitive test from the China Health and Nutrition Survey (CHNS) in 1997, 2000, 2004, and 2006, with a median follow-up of 3 years. The modified MIND diet score (range: 0-12) was calculated based on nine healthy and three unhealthy food groups. Linear mixed-effect models were used to examine the association of adherence to the MIND diet with z-scores of cognitive function and cognitive decline. We also conducted a meta-analysis including our findings and seven other cohort studies. RESULTS At baseline, median MIND diet scores for the increasing tertile were 3.0, 4.0, and 5.5, respectively. Participants with higher MIND diet scores had significant better global cognitive function. The adjusted difference in global cognitive function z-score for every three-point increment of MIND diet scores was 0.11 (95% CI, 0.06, 0.16, p-trend<0.001), which was approximately equivalent to being one year younger in age. Consumption of nuts, fish, red meats, and tea showed independent positive associations with cognitive function, and fried food consumption exhibited negative associations. In the meta-analysis of 26,103 participants, one standardized deviation increment of the MIND score was associated with 0.042 (95 % CI 0.020, 0.065) units higher in global cognitive function z-score and 0.014 (95 % CI -0.010, 0.037) units slower in annual cognitive decline. CONCLUSIONS Our findings suggest that higher adherence to the MIND diet was associated with better cognitive function and potentially slower cognitive decline in later life. Further large-scale observational and interventional studies are warranted to elucidate the cognitive effects of the MIND diet. PROSPERO REGISTRY NUMBER This meta-analysis was registered at PROSPERO as CRD42022330417.
Collapse
Affiliation(s)
- Liyan Huang
- School of Public Health, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China, 310058
| | - Yang Tao
- School of Public Health, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China, 310058
| | - Hui Chen
- School of Public Health, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China, 310058
| | - Xiao Chen
- School of Public Health, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China, 310058
| | - Jie Shen
- School of Public Health, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China, 310058
| | - Caifeng Zhao
- School of Public Health, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China, 310058
| | - Xin Xu
- School of Public Health, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China, 310058
| | - Mengjie He
- Institute of Nutrition and Food Safety, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China, 310051
| | - Dafang Zhu
- Institute of Nutrition and Food Safety, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China, 310051
| | - Ronghua Zhang
- Institute of Nutrition and Food Safety, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China, 310051
| | - Min Yang
- School of Public Health, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China, 310058
| | - Yan Zheng
- Human Phenome Institute, School of Life Sciences, Fudan University, Shanghai, China
| | - Changzheng Yuan
- School of Public Health, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China, 310058; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, U.S., 02115.
| |
Collapse
|
8
|
Zhao D, Huang Y, Wang B, Chen H, Pan W, Yang M, Xia Z, Zhang R, Yuan C. Dietary Intake Levels of Iron, Copper, Zinc, and Manganese in Relation to Cognitive Function: A Cross-Sectional Study. Nutrients 2023; 15:nu15030704. [PMID: 36771411 PMCID: PMC9921562 DOI: 10.3390/nu15030704] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2022] [Revised: 01/25/2023] [Accepted: 01/27/2023] [Indexed: 02/01/2023] Open
Abstract
Background: Previous studies have related circulating levels of trace metal elements, of which dietary intake is the major source, to cognitive outcomes. However, there are still relatively few studies evaluating the associations of dietary intake levels of iron, copper, zinc, and manganese with cognitive function (CF). Methods: We leveraged the data of 6863 participants (mean [standard deviation] age = 66.7 [10.5] years) in the Health and Retirement Study (2013/2014). Dietary intake levels of iron, copper, zinc, and manganese were calculated from a semi-quantitative food frequency questionnaire. CF was assessed using the 27-point modified Telephone Interview for Cognitive Status (TICS). We used linear regression models to calculate the mean differences in global CF scores by quintiles of dietary intake levels of trace metal elements. Results: Among the study participants, the mean (SD) values of daily dietary intake were 13.3 (6.3) mg for iron, 1.4 (0.7) mg for copper, 10.7 (4.6) mg for zinc, and 3.3 (1.6) mg for manganese. Compared with the lowest quintile of dietary iron intake (<8.1 mg), the highest quintile (≥17.7 mg) was associated with a lower cognitive score (-0.50, -0.94 to -0.06, P-trend = 0.007). Higher dietary copper was significantly associated with poorer CF (P-trend = 0.002), and the mean difference in cognitive score between extreme quintiles (≥1.8 vs. <0.8 mg) was -0.52 (95% confidence interval: -0.94 to -0.10) points. We did not observe significant associations for dietary intake of zinc (P-trend = 0.785) and manganese (P-trend = 0.368). Conclusion: In this cross-sectional study, higher dietary intake of iron and copper was related to worse CF, but zinc and manganese intake levels were not significantly associated with CF.
Collapse
Affiliation(s)
- Dong Zhao
- Department of Nutrition and Food Safety, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| | - Yilun Huang
- School of Public Health, Zhejiang University School of Medicine, Hangzhou 310051, China
- College of Biosystem Engineering and Food Science, Zhejiang University, Hangzhou 310051, China
| | - Binghan Wang
- School of Public Health, Zhejiang University School of Medicine, Hangzhou 310051, China
| | - Hui Chen
- School of Public Health, Zhejiang University School of Medicine, Hangzhou 310051, China
| | - Wenfei Pan
- School of Public Health, Zhejiang University School of Medicine, Hangzhou 310051, China
| | - Min Yang
- School of Public Health, Zhejiang University School of Medicine, Hangzhou 310051, China
| | - Zhidan Xia
- School of Public Health, Zhejiang University School of Medicine, Hangzhou 310051, China
| | - Ronghua Zhang
- Department of Nutrition and Food Safety, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
- Correspondence: (R.Z.); (C.Y.)
| | - Changzheng Yuan
- School of Public Health, Zhejiang University School of Medicine, Hangzhou 310051, China
- Correspondence: (R.Z.); (C.Y.)
| |
Collapse
|
9
|
Liu J, Chen Y, Lu X, Xu X, Bulloch G, Zhu S, Zhu Z, Ge Z, Wang W, Shang X, He M. The Association between Dietary Iron Intake and Incidence of Dementia in Adults Aged 60 Years or over in the UK Biobank. Nutrients 2023; 15:nu15020260. [PMID: 36678132 PMCID: PMC9865143 DOI: 10.3390/nu15020260] [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: 11/18/2022] [Revised: 12/22/2022] [Accepted: 12/26/2022] [Indexed: 01/06/2023] Open
Abstract
Background Several studies have investigated the association between dietary iron intake and cognitive impairment, but little is known about the relationship between iron intake and dementia incidence. Objectives This study explored the association between dietary iron intake and incident dementia in males and females. Whether this association was modified by factors such as age and medical diseases was also examined. Methods We included 41,213 males and 48,892 females aged 60 years or over, from the UK-Biobank cohort. Dietary iron intake was measured using a web-based 24-h dietary recall questionnaire from between 2009 and 2012. Incident dementia was ascertained using hospital inpatient records and death registers until April 2021. Cox proportional regression models examined the association between iron intake and incident dementia, and hazard ratio curves were constructed with knots from the analysis indicating insufficient or excessive iron intake. Results During a mean follow-up of 11.8 years, 560 males and 492 females developed dementia. A non-linear relationship between iron intake and incident dementia was observed in both males and females. The lowest incidence rates were observed in the higher iron intake quintile (Q4: ≥15.73, <17.57 mg/day) for males, and the intermediate iron intake quintile (Q3: ≥12.4, <13.71 mg/day) for females. Among those aged 60 and above, all-cause dementia in males was associated with deficient iron intake (Q1 versus Q4: Hazard ratio [HR]: 1.37, 95% Confidence interval [95%CI]: 1.01−1.86, p = 0.042) and excessive iron intake (Q5 versus Q4: HR: 1.49, 95%CI: 1.14−1.96, p = 0.003), whilst significant associations between all-cause dementia and deficient iron intake were only observed in females without hypertension. Smoking status was a significant moderator (p-value for trend = 0.017) for dementia in males only. Conclusions Excessive iron intake (≥17.57 mg/day) is associated with a higher incidence of all-cause dementia in males and smoking status modified this association amongst males. Deficient iron intake (<10.93 mg/day) was associated with a higher incidence of all-cause dementia in females without a history of hypertension.
Collapse
Affiliation(s)
- Jiahao Liu
- Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, VIC 3010, Australia
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, Melbourne, VIC 3002, Australia
| | - Yutong Chen
- Faculty of Medicine, Nursing and Health Science, Monash University, Clayton, VIC 3800, Australia
| | - Xi Lu
- Charles Perkins Centre, Faculty of Medicine and Health, University of Sydney, Sydney, NSW 2006, Australia
| | - Xiaojing Xu
- Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC 3010, Australia
| | - Gabriella Bulloch
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, Melbourne, VIC 3002, Australia
| | - Susan Zhu
- Austin Hospital, University of Melbourne, Melbourne, VIC 3084, Australia
| | - Zhuoting Zhu
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, Melbourne, VIC 3002, Australia
| | - Zongyuan Ge
- Monash e-Research Center, Faculty of Engineering, Airdoc Research, Nvidia AI Technology Research Center, Monash University, Melbourne, VIC 3800, Australia
| | - Wei Wang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou 510060, China
| | - Xianwen Shang
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, Melbourne, VIC 3002, Australia
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China
| | - Mingguang He
- Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, Melbourne, VIC 3002, Australia
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou 510060, China
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China
- Correspondence:
| |
Collapse
|
10
|
Tsuji M, Koriyama C, Ishihara Y, Isse T, Ishizuka T, Hasegawa W, Goto M, Tanaka R, Kakiuchi N, Hori H, Yatera K, Kunugita N, Yamamoto M, Sakuragi T, Yasumura Y, Kono M, Kuwamura M, Kitagawa K, Ueno S. Associations between welding fume exposure and neurological function in Japanese male welders and non-welders. J Occup Health 2023; 65:e12393. [PMID: 36823734 PMCID: PMC9950351 DOI: 10.1002/1348-9585.12393] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Revised: 01/31/2023] [Accepted: 02/06/2023] [Indexed: 02/25/2023] Open
Abstract
OBJECTIVES There are some studies reporting the association between (manganese [Mn]) exposure to welding fume and neurological dysfunction. This study examined the relationship between Mn exposure and neurological behavior in Japanese male welders and non-welders using biological samples, which to date has not been assessed in Japan. METHODS A total of 94 male welders and 95 male non-welders who worked in the same factories were recruited. The blood and urine samples were obtained from all the participants to measure Mn exposure levels. Neurological function tests were also conducted with all participants. The sampling of the breathing air zone using a personal sampler was measured for welders only. RESULTS The odds ratios (ORs) for the Working Memory Index (WMI) scores were significantly higher among all participants in the low blood Mn concentration group than those in the high blood Mn concentration group (OR, 2.77; 95% confidence interval [CI], 1.24, 6.19; P = .013). The association of WMI scores and blood Mn levels in welders had the highest OR (OR, 3.73; 95% CI, 1.04, 13.38; P = .043). Although not statistically significant, a mild relationship between WMI scores and blood Mn levels was observed in non-welders (OR, 2.09; 95% CI, 0.63, 6.94; P = .227). CONCLUSIONS The results revealed a significant positive relationship between blood Mn and neurological dysfunction in welders. Furthermore, non-welders at the same factories may be secondarily exposed to welding fumes. Further research is needed to clarify this possibility.
Collapse
Affiliation(s)
- Mayumi Tsuji
- Department of Environmental Health, School of MedicineUniversity of Occupational and Environmental HealthFukuokaJapan
| | - Chihaya Koriyama
- Department of Epidemiology and Preventive MedicineKagoshima University Graduate School of Medical and Dental SciencesKagoshimaJapan
| | - Yasuhiro Ishihara
- Program of Biomedical Science, Graduate School of Integrated Sciences for LifeHiroshima UniversityHiroshimaJapan
| | - Toyohi Isse
- Section of Postgraduate Guidance School of MedicineUniversity of Occupational and Environmental HealthFukuokaJapan
| | - Tsunetoshi Ishizuka
- Department of Occupational Toxicology, Institute of Industrial Ecological SciencesUniversity of Occupational and Environmental HealthFukuokaJapan
| | - Wataru Hasegawa
- Department of Occupational Toxicology, Institute of Industrial Ecological SciencesUniversity of Occupational and Environmental HealthFukuokaJapan
| | - Motohide Goto
- Department of Occupational Toxicology, Institute of Industrial Ecological SciencesUniversity of Occupational and Environmental HealthFukuokaJapan
| | - Rie Tanaka
- Department of Environmental Health, School of MedicineUniversity of Occupational and Environmental HealthFukuokaJapan
| | - Noriaki Kakiuchi
- Institute of Industrial Ecological SciencesUniversity of Occupational and Environmental HealthFukuokaJapan
| | - Hajime Hori
- Department of Occupational Hygiene, School of Health SciencesUniversity of Occupational and Environmental HealthFukuokaJapan
| | - Kazuhiro Yatera
- Department of Respiratory Medicine, School of MedicineUniversity of Occupational and Environmental HealthFukuokaJapan
| | - Naoki Kunugita
- Department of Occupational and Community Health Nursing, School of Health SciencesUniversity of Occupational and Environmental HealthFukuokaJapan
| | - Megumi Yamamoto
- Department of Environment and Public HealthNational Institute for Minamata DiseaseKumamotoJapan
| | - Toshihide Sakuragi
- Department of Environmental Health, School of MedicineUniversity of Occupational and Environmental HealthFukuokaJapan
| | - Yoshiko Yasumura
- Department of Environmental Health, School of MedicineUniversity of Occupational and Environmental HealthFukuokaJapan
| | - Maori Kono
- Laboratory of Advanced Cosmetic Science, Graduate School of Pharmaceutical SciencesOsaka UniversityOsakaJapan
| | - Mami Kuwamura
- Department of Environmental Health, School of MedicineUniversity of Occupational and Environmental HealthFukuokaJapan
| | - Kyoko Kitagawa
- Department of Environmental Health, School of MedicineUniversity of Occupational and Environmental HealthFukuokaJapan
| | - Susumu Ueno
- Department of Occupational Toxicology, Institute of Industrial Ecological SciencesUniversity of Occupational and Environmental HealthFukuokaJapan
| |
Collapse
|
11
|
Jia X, Su C, Du W, Zhang X, Wang L, Huang F, Bai J, Wei Y, Wang Z, Zhang B, Wang H. Association of Dietary Quality with Cognitive Function in Chinese Adults Aged 55 Years and Above: A Longitudinal Study. J Nutr Health Aging 2023; 27:514-523. [PMID: 37498099 DOI: 10.1007/s12603-023-1941-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: 04/13/2023] [Accepted: 05/15/2023] [Indexed: 07/28/2023]
Abstract
OBJECTIVES Diet is an important modifiable factor for brain health and aging. Present study aimed to explore association of dietary quality with cognitive function and poor cognition in middle-aged and older adults participating in the China Health and Nutrition Survey (CHNS). DESIGN A longitudinal study with a twenty-year follow-up. SETTING AND PARTICIPANTS Data were drawn from the CHNS 1997, 2000, 2004, 2006, 2015 and 2018. Subjects aged 55 years and more who participated in at least two waves and had completed data on socio-demographics, lifestyle, disease history, anthropometrics, dietary measure and cognitive assessment were eligible in present study. METHODS Baseline diet were assessed by 3-day 24-hour dietary recalls and used to evaluate diet quality via China Elderly Dietary Guidelines Index 2022 (CDGI 2022-E). Cognitive function was examined using part items of the Telephone Interview for Cognitive Status-modified. Three-level linear mixed effects models and three-level mixed effects logistic regression models were performed to estimate the association between diet quality and cognitive function and odds of poor cognition, respectively. RESULTS At baseline, 4173 subjects with median age of 63.7 years were recruited. Median of CDGI 2022-E total score was 44.7. Median score of global cognition was 16.0, and the proportion of people with poor cognitive function was 13.9%. Difference in global cognitive score was observed by tertiles of CDGI 2022-E (p<0.05). Significant associations of high diet quality with increment in global cognitive score [β (95%CI): 0.704 (0.394~1.015)], composite cognitive z score [0.086 (0.045~0.128)] and standardized verbal memory score [0.221 (0.122~0.320)] were observed in total subjects. Consistent associations were also found in those below 65 years at baseline. The likelihood of poor cognition in the highest tertile of CDGI 2022-E decreased by 18% (95%CI: 0.698~0.965) relative to the lowest tertile group in total population. CONCLUSIONS High diet quality may be beneficial for improving cognitive function and delaying cognitive decline in Chinese middle-aged and older population.
Collapse
Affiliation(s)
- X Jia
- Wang Huijun, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention/Key Laboratory of Trace Element Nutrition, National Health Commission of the People's Republic of China, Beijing 100050, China, Tel: +86-010-66237089;
| | | | | | | | | | | | | | | | | | | | | |
Collapse
|
12
|
Association between egg consumption and cognitive function among Chinese adults: long-term effect and interaction effect of iron intake. Br J Nutr 2022; 128:1180-1189. [PMID: 34736543 DOI: 10.1017/s0007114521004402] [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] [Indexed: 02/02/2023]
Abstract
The association between egg consumption and cognitive function is inclusive. We aimed to assess the association between egg consumption and cognitive function in Chinese adults and tested the interaction between egg consumption and Fe intake. The data used were from a nationwide sample (n 4852, age ≥ 55 years) from the China Health and Nutrition Survey between 1991 and 2006. Assessment of cognitive function was conducted in 1997, 2000, 2004 and 2006. Dietary egg intake was obtained by 24-h dietary recalls of 3 consecutive days during home visits between 1991 and 2006. Multivariable mixed linear regression and logistic regression were used. Egg intake was positively associated with global cognitive function. In fully adjusted models, across the quartiles of egg intake the regression coefficients were 0, 0·11 (95 % CI -0·28, 0·51), 0·79 (95 % CI 0·36, 1·22) and 0·92 (95 % CI 0·43, 1·41), respectively. There was a significant interaction between egg intake and Fe intake. The association between high egg intake and cognitive function was stronger among those with low Fe intake than those with high Fe intake. In addition, there was a significant interaction between egg consumption and sex, with the association mainly observed in women but not men. Furthermore, compared with non-consumers, those with higher egg consumption (Q4) had the OR of 0·93 (95 % CI 0·74, 1·19), 0·84 (95 % CI 0·69, 1·02) for self-reported poor memory and self-reported memory decline, respectively. Higher egg intake is associated with better cognition in Chinese adults among those with low Fe intake.
Collapse
|
13
|
Sukik L, Liu J, Shi Z. Tea Consumption Is Associated with Reduced Cognitive Decline and Interacts with Iron Intake: A Population-Based Longitudinal Study on 4,820 Old Adults. J Alzheimers Dis 2022; 90:271-282. [DOI: 10.3233/jad-220344] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
Background: Previous studies suggest a positive effect of tea intake on cognition. Additional micronutrients that may moderate this association was not previously examined. Objective: To examine the association between tea consumption and cognition and explore the interaction between tea consumption and iron intake. Methods: Data from the China Health and Nutrition Survey between 1997 and 2011 was used. 4,820 individuals (≥55 years) were included in the analyses. Measurement of cognitive function was conducted in 1997, 2000, 2004, and 2006. Tea consumption was self-reported. Food intake was assessed by 24-hour dietary recalls of three consecutive days during home visits between 1997 and 2011. Multivariable mixed linear regression and logistic regression was used to assess the association. Results: Tea consumption was associated with reduced global cognitive function decline. In fully adjusted models, regression coefficients (95% CIs) for those who consumed 0 cups/day,<2 cups/day, 2–3.9 cups/day, and≥4 cups/day of tea were 0, –0.09 (–0.55–0.37), 0.05 (–0.34–0.45), and 0.87 (0.46–1.29), respectively. This effect was stronger in adults > 60 years. Tea consumption of≥4 cups/day was inversely associated with self-reported poor memory (OR 0.70 (95% CI 0.56–0.86)) and memory decline (OR, 0.73 (95% CI 0.62–0.87)). There was a significant interaction between tea consumption and iron intake in relation to cognition. High iron intake was inversely associated with cognition in non-consumers of tea but not in tea consumers. Conclusion: Higher tea intake is associated with reduced cognitive decline in adults and inhibits the adverse effect of high iron intake.
Collapse
Affiliation(s)
- Layan Sukik
- Department of Human Nutrition, College of Health Sciences, QU Health, Qatar University, Doha, Qatar
| | - Jianghong Liu
- University of Pennsylvania School of Nursing, Philadelphia, PA, USA
| | - Zumin Shi
- Department of Human Nutrition, College of Health Sciences, QU Health, Qatar University, Doha, Qatar
- Biomedical and Pharmaceutical Research Unit, QU Health, Qatar University, Doha, Qatar
| |
Collapse
|
14
|
Selenium Intake and its Interaction with Iron Intake Are Associated with Cognitive Functions in Chinese Adults: A Longitudinal Study. Nutrients 2022; 14:nu14153005. [PMID: 35893861 PMCID: PMC9332607 DOI: 10.3390/nu14153005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Revised: 07/12/2022] [Accepted: 07/20/2022] [Indexed: 11/17/2022] Open
Abstract
Studies on the relation between selenium intake and cognitive function are inconclusive. This study aimed to examine the associations between dietary selenium intake and cognitive function among Chinese adults and tested the interaction effect of selenium intake and iron intake on cognition. Data from 4852 adults aged 55 years and above who attended the 1991–2006 China Health and Nutrition Survey (CHNS) were used. Cognitive function was assessed through face-to-face interviews in 1997, 2000, 2004, and 2006. A 3-day, 24-hour recall was used to collect dietary selenium intake. Multivariable mixed linear regression and logistic regression were used in the analyses. In fully adjusted regression models, the regression coefficients (95% confidence interval) were 0.00, 0.29 (−0.12–0.70), 0.26 (−0.18–0.70), and 0.50 (0.02–0.97) across the quartiles of selenium intake. In the subgroup analysis, the positive association between selenium intake and cognitive function was only observed in the participants who live in the southern region but not those in the northern region. The selenium-intake-to-iron-intake ratio was inversely associated with low global cognition scores. Furthermore, only those with a normal BMI had a positive association between selenium and cognition. In conclusion, high selenium intake was linked to better cognitive function and a lower risk of cognition decline in Chinese adults among those with low iron intake. A substantial interaction was found between selenium intake and BMI or region.
Collapse
|
15
|
Topiwala A, Wang C, Ebmeier KP, Burgess S, Bell S, Levey DF, Zhou H, McCracken C, Roca-Fernández A, Petersen SE, Raman B, Husain M, Gelernter J, Miller KL, Smith SM, Nichols TE. Associations between moderate alcohol consumption, brain iron, and cognition in UK Biobank participants: Observational and mendelian randomization analyses. PLoS Med 2022; 19:e1004039. [PMID: 35834561 PMCID: PMC9282660 DOI: 10.1371/journal.pmed.1004039] [Citation(s) in RCA: 30] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Accepted: 06/01/2022] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND Brain iron deposition has been linked to several neurodegenerative conditions and reported in alcohol dependence. Whether iron accumulation occurs in moderate drinkers is unknown. Our objectives were to investigate evidence in support of causal relationships between alcohol consumption and brain iron levels and to examine whether higher brain iron represents a potential pathway to alcohol-related cognitive deficits. METHODS AND FINDINGS Observational associations between brain iron markers and alcohol consumption (n = 20,729 UK Biobank participants) were compared with associations with genetically predicted alcohol intake and alcohol use disorder from 2-sample mendelian randomization (MR). Alcohol intake was self-reported via a touchscreen questionnaire at baseline (2006 to 2010). Participants with complete data were included. Multiorgan susceptibility-weighted magnetic resonance imaging (9.60 ± 1.10 years after baseline) was used to ascertain iron content of each brain region (quantitative susceptibility mapping (QSM) and T2*) and liver tissues (T2*), a marker of systemic iron. Main outcomes were susceptibility (χ) and T2*, measures used as indices of iron deposition. Brain regions of interest included putamen, caudate, hippocampi, thalami, and substantia nigra. Potential pathways to alcohol-related iron brain accumulation through elevated systemic iron stores (liver) were explored in causal mediation analysis. Cognition was assessed at the scan and in online follow-up (5.82 ± 0.86 years after baseline). Executive function was assessed with the trail-making test, fluid intelligence with puzzle tasks, and reaction time by a task based on the "Snap" card game. Mean age was 54.8 ± 7.4 years and 48.6% were female. Weekly alcohol consumption was 17.7 ± 15.9 units and never drinkers comprised 2.7% of the sample. Alcohol consumption was associated with markers of higher iron (χ) in putamen (β = 0.08 standard deviation (SD) [95% confidence interval (CI) 0.06 to 0.09], p < 0.001), caudate (β = 0.05 [0.04 to 0.07], p < 0.001), and substantia nigra (β = 0.03 [0.02 to 0.05], p < 0.001) and lower iron in the thalami (β = -0.06 [-0.07 to -0.04], p < 0.001). Quintile-based analyses found these associations in those consuming >7 units (56 g) alcohol weekly. MR analyses provided weak evidence these relationships are causal. Genetically predicted alcoholic drinks weekly positively associated with putamen and hippocampus susceptibility; however, these associations did not survive multiple testing corrections. Weak evidence for a causal relationship between genetically predicted alcohol use disorder and higher putamen susceptibility was observed; however, this was not robust to multiple comparisons correction. Genetically predicted alcohol use disorder was associated with serum iron and transferrin saturation. Elevated liver iron was observed at just >11 units (88 g) alcohol weekly c.f. <7 units (56 g). Systemic iron levels partially mediated associations of alcohol intake with brain iron. Markers of higher basal ganglia iron associated with slower executive function, lower fluid intelligence, and slower reaction times. The main limitations of the study include that χ and T2* can reflect changes in myelin as well as iron, alcohol use was self-reported, and MR estimates can be influenced by genetic pleiotropy. CONCLUSIONS To the best of our knowledge, this study represents the largest investigation of moderate alcohol consumption and iron homeostasis to date. Alcohol consumption above 7 units weekly associated with higher brain iron. Iron accumulation represents a potential mechanism for alcohol-related cognitive decline.
Collapse
Affiliation(s)
- Anya Topiwala
- Nuffield Department Population Health, Big Data Institute, University of Oxford, Oxford, United Kingdom
| | - Chaoyue Wang
- Wellcome Centre for Integrative Neuroimaging (WIN FMRIB), Oxford University, Oxford, United Kingdom
| | - Klaus P. Ebmeier
- Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, United Kingdom
| | - Stephen Burgess
- MRC Biostatistics Unit, School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom
- Department of Public Health and Primary Care, School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Steven Bell
- Department of Clinical Neurosciences, University of Cambridge, United Kingdom
| | - Daniel F. Levey
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, United States of America
- Department of Psychiatry, Veterans Affairs Connecticut Healthcare System, West Haven, Connecticut, United States of America
| | - Hang Zhou
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, United States of America
- Department of Psychiatry, Veterans Affairs Connecticut Healthcare System, West Haven, Connecticut, United States of America
| | - Celeste McCracken
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, National Institute for Health Research Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
| | | | - Steffen E. Petersen
- William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London, United Kingdom
- Barts Heart Centre, St Bartholomew’s Hospital, Barts Health NHS Trust, West Smithfield, London, United Kingdom
- Health Data Research UK, London, United Kingdom
- Alan Turing Institute, London, United Kingdom
| | - Betty Raman
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, National Institute for Health Research Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
| | - Masud Husain
- Wellcome Centre for Integrative Neuroimaging (WIN FMRIB), Oxford University, Oxford, United Kingdom
- Department of Experimental Psychology, University of Oxford, Oxford, United Kingdom
- Nuffield Department of Clinical Neuroscience, University of Oxford, Oxford, United Kingdom
- Division of Clinical Neurology, John Radcliffe Hospital, Oxford University Hospitals Trust, Oxford, United Kingdom
| | - Joel Gelernter
- Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, United States of America
- Department of Psychiatry, Veterans Affairs Connecticut Healthcare System, West Haven, Connecticut, United States of America
| | - Karla L. Miller
- Wellcome Centre for Integrative Neuroimaging (WIN FMRIB), Oxford University, Oxford, United Kingdom
| | - Stephen M. Smith
- Wellcome Centre for Integrative Neuroimaging (WIN FMRIB), Oxford University, Oxford, United Kingdom
| | - Thomas E. Nichols
- Nuffield Department Population Health, Big Data Institute, University of Oxford, Oxford, United Kingdom
- Wellcome Centre for Integrative Neuroimaging (WIN FMRIB), Oxford University, Oxford, United Kingdom
| |
Collapse
|
16
|
Pan W, Chen H, Ni C, Zong G, Yuan C, Yang M. Sex-Specific Associations of Dietary Iron Intake with Brain Iron Deposition on Imaging and Incident Dementia: A Prospective Cohort Study. J Nutr Health Aging 2022; 26:954-961. [PMID: 36259584 DOI: 10.1007/s12603-022-1852-2] [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] [Indexed: 10/17/2022]
Abstract
OBJECTIVES The study aimed to evaluate the association of dietary iron intake with incident dementia and brain iron deposition. DESIGN/SETTING/PARTICIPANTS We included dementia-free participants from the UK Biobank who completed at least one 24-hour dietary recall at study baseline (2009-2012) and were followed up to 2021. Incident dementia was determined through linkage to medical records and death registries. Brain MRI was conducted in a subgroup of participants since 2014, with T2* measurements being used as indicators of brain iron deposition. MEASUREMENTS Cox proportional hazard models were used to assess the associations of high (top quintile) and low (bottom quintile) versus medium (quintile 2 to 4) level of dietary iron intake with incident dementia, respectively. Linear regression was applied to assess the relations between dietary iron intake and brain T2* measurements. RESULTS During follow-up (mean = 9.5 years), a total of 1,454 participants (650 women and 804 men) developed dementia among 191,694 participants (55.0% female; mean age, 56.2 years). When adjusted for sociodemographic, lifestyle, and other dietary factors, participants with low dietary iron intake (< 10.05 mg/day) had a significantly higher dementia risk (hazard ratio [HR], 1.50, 95% confidence interval [CI], 1.19-1.89), while the relation for high intake (> 16.92 mg/day) was non-significant (HR, 1.16, 95% CI, 0.92-1.46). A significant gender difference (P-interaction < 0.001) was observed, with a U-shaped association in male participants (HR for low vs. medium, 1.56, 95% CI, 1.14-2.13; HR for high vs. medium, 1.39, 95% CI, 1.03 - 1.88; P-nonlinearity < 0.001) and no significant association in females, regardless of their menopause status. In general, dietary iron intake was not related to T2* measurements of iron deposition in most brain regions. CONCLUSION Our findings suggested a U-shape relationship between dietary iron intake and risk of dementia among males, but not females.
Collapse
Affiliation(s)
- W Pan
- Min Yang, School of Public Health, Zhejiang University School of Medicine, 866 Yu-hang-tang RD, Hangzhou, China, Tel: 13516852440, ; Changzheng Yuan, School of Public Health, Zhejiang University School of Medicine, 866 Yu-hang-tang RD, Hangzhou, China, Tel: 17326860291, E-mail:
| | | | | | | | | | | |
Collapse
|
17
|
Shang X, Hodge AM, Hill E, Zhu Z, He M. Associations of Dietary Pattern and Sleep Duration with Cognitive Decline in Community-Dwelling Older Adults: A Seven-Year Follow-Up Cohort Study. J Alzheimers Dis 2021; 82:1559-1571. [PMID: 34180411 DOI: 10.3233/jad-201329] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
BACKGROUND A few studies have linked dietary patterns and sleep to cognitive decline. OBJECTIVE To examine the independent and joint associations of dietary patterns and sleep with cognitive decline. METHODS Our analysis included 2,307 participants aged 55- 89 years at baseline from the China Health and Nutrition Survey. Dietary intake was assessed using weighing methods in combination with 24 h dietary recalls for three consecutive days. Exploratory factor analysis was applied to identify major dietary factors. Cognition was assessed in 1997, 2000, 2004, 2006, and 2015. RESULTS Five dietary patterns were identified: dairy-fruits-fast foods, grains-vegetables-pork, plant-based food, beans-mushroom, and beverages-nuts patterns. Beans-mushroom pattern and sleep duration of 8 h/day were defined as healthy habits. There was a positive association between the beans-mushroom pattern and change in the global cognitive Z-score over seven years (β (95% CI) for quintile 5 versus quintile 1:0.17 (0.05, 0.30)). Compared to individuals with sleep duration of 8 h/day, those with sleep duration of≤5 h/day (β (95% CI): - 0.23 (- 0.45, - 0.00)) or > 10 h/day (- 0.52 (- 0.73, - 0.32)) had a greater decrease in global cognitive Z-score. Compared to individuals with no healthy patterns, those with a healthy dietary pattern only (β (95% CI): 0.18 (0.08, 0.28)), healthy sleep pattern only (0.13 (0.04, 0.23), and both healthy dietary and sleep patterns (0.19 (0.08, 0.31)) had a relative increase in global cognitive Z-score. CONCLUSION Our findings highlight the importance of involving both diet and sleep as intervention priorities for the potential prevention of cognitive decline.
Collapse
Affiliation(s)
- Xianwen Shang
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Allison M Hodge
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia.,Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia
| | - Edward Hill
- Wicking Dementia Research and Education Centre, University of Tasmania, Hobart, Australia.,Department of Medicine, Royal Melbourne Hospital, University of Melbourne, Melbourne, Australia
| | - Zhuoting Zhu
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Mingguang He
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.,Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, Melbourne, Australia.,State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
| |
Collapse
|
18
|
Zhang Y, Li Y, Zheng X, Zhu L, Xu B. Association between alcohol consumption in midlife and cognitive function in old age: Findings from the China health and Nutrition Survey. Nutr Metab Cardiovasc Dis 2021; 31:3044-3053. [PMID: 34642057 DOI: 10.1016/j.numecd.2021.07.023] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Revised: 07/18/2021] [Accepted: 07/19/2021] [Indexed: 11/21/2022]
Abstract
BACKGROUND AND AIMS Alcohol consumption has been reported to impair the physical and mental health of the elderly. This study aimed to explore the association between alcohol consumption patterns in midlife and cognition in the elderly among the Chinese population. METHODS AND RESULTS Study subjects were individuals aged ≥45 years in the shared database of the China Health and Nutrition Survey in 1997, who were followed up in 2006. A questionnaire was used to collect information about alcohol consumption (frequency, amount and type). Alcohol consumption (grams/week) was classified into none, light (≤84), light-to-moderate (84.01-168), moderate-to-heavy (168.01-336) and heavy (≥336.01) categories in men, and none, light (<42) and moderate (≥42) categories in women. Cognitive function was measured in 2006 using a subset of items from the modified Telephone Interview for Cognitive Status. The lowest quintile was used as the cut-off point for cognitive impairment. A multivariate logistic regression model was applied. The study involved 1926 participants with a mean age of 56.91 years, and men accounted for 51.66% of the total participants. Drinking behaviours and cognitive scores had significant sexual difference (P < 0.001). Cognitive impairment was identified in 135 men and 237 women. Compared with light drinking, heavy drinking and non-drinking were associated with cognitive impairment in men [adjusted odds ratio (aOR) and 95% CI were 2.19 (1.59-3.00), 1.54 (1.21-1.96), respectively; P < 0.001]. Compared with light drinkers, female non-drinkers and moderate drinkers were associated with cognitive impairment [aOR and 95% CI were 1.54 (1.16-2.03) and 1.75 (1.08-2.85), respectively; P < 0.001]. CONCLUSIONS Scientific evidence on the adverse effects of heavy drinking on elderly cognition and the possibly protective effects of light drinking could influence policy decisions on alcohol consumption in China.
Collapse
Affiliation(s)
- Yuge Zhang
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China; Key Laboratory of Health Technology Assessment, National Health Commission of the People's Republic of China (Fudan University), Shanghai, China
| | - Yang Li
- Department of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Xubin Zheng
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China; Key Laboratory of Health Technology Assessment, National Health Commission of the People's Republic of China (Fudan University), Shanghai, China
| | - Liping Zhu
- Shanghai Center for Women and Children's Health, Shanghai, China
| | - Biao Xu
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China; Key Laboratory of Health Technology Assessment, National Health Commission of the People's Republic of China (Fudan University), Shanghai, China.
| |
Collapse
|
19
|
Wang L, Liu K, Zhang X, Wang Y, Liu W, Wang T, Hao L, Ju M, Xiao R. The Effect and Mechanism of Cholesterol and Vitamin B 12 on Multi-Domain Cognitive Function: A Prospective Study on Chinese Middle-Aged and Older Adults. Front Aging Neurosci 2021; 13:707958. [PMID: 34512309 PMCID: PMC8430239 DOI: 10.3389/fnagi.2021.707958] [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: 05/11/2021] [Accepted: 07/20/2021] [Indexed: 11/13/2022] Open
Abstract
Background: Nutrients are associated with cognitive function, but limited research studies have systematically evaluated on multi-domain cognitive function. The aim of this study was to investigate the effect and mechanism of specific nutrient on multi-domain cognitive function, and provide nutrition guidance for improving cognitive function. Methods: Participants were selected based on a multicenter prospective study on middle-aged and older adults in China. Global cognitive function was evaluated by the Mini-Mental State Examination (MMSE). Nutrients intake was assessed according to food frequency questionnaire and China Food Composition Database, and principal component analysis was performed to extract nutrient patterns. Associations between specific nutrients and cognitive function were assessed using log-binomial regression. Restricted cubic spline was used to illustrate the dose-response relationship of nutrients with multi-domain cognitive function. Mediation analysis was used to determine the mechanism of nutrients in cognitive function. Results: Four nutrient patterns were identified (vitamin-mineral, protein-carbohydrate, fatty acid-vitamin E, and cholesterol-vitamin B12), and only a nutrient pattern rich in cholesterol and vitamin B12 was found associated with cognitive function (RR = 0.891, 95%CI = 0.794–0.999). In multi-domain cognitive function, dietary cholesterol and vitamin B12 were related to better performance of visual memory function (P = 0.034, P = 0.02). In dose-response relationship, it suggested a U-shaped association between vitamin B12 and MMSE (P = 0.02) within a certain range. Conclusions: Dietary intake rich in cholesterol and vitamin B12 was associated with better cognitive function, and vitamin B12 had a U-shaped dose-response relation with MMSE. Thus, ensuring moderate cholesterol and vitamin B12intake may be an advisable strategy to improve cognitive function in middle-aged and older adults. Clinical Trial Registration: EMCOA, ChiCTR-OOC-17011882, Registered 5th, July 2017-Retrospectively registered, http://www.medresman.org/uc/project/projectedit.aspx?proj=2610
Collapse
Affiliation(s)
- Lijing Wang
- School of Public Health, Capital Medical University, Beijing, China
| | - Kuo Liu
- School of Public Health, Capital Medical University, Beijing, China
| | - Xiaona Zhang
- School of Public Health, Capital Medical University, Beijing, China
| | - Yushan Wang
- School of Public Health, Capital Medical University, Beijing, China
| | - Wen Liu
- School of Public Health, Capital Medical University, Beijing, China
| | - Tao Wang
- School of Public Health, Capital Medical University, Beijing, China
| | - Ling Hao
- School of Public Health, Capital Medical University, Beijing, China
| | - Mengwei Ju
- School of Public Health, Capital Medical University, Beijing, China
| | - Rong Xiao
- School of Public Health, Capital Medical University, Beijing, China
| |
Collapse
|
20
|
Feng T, Feng Z, Jiang L, Yu Q, Liu K. Associations of health behaviors, food preferences, and obesity patterns with the incidence of mild cognitive impairment in the middle-aged and elderly population: An 18-year cohort study. J Affect Disord 2020; 275:180-186. [PMID: 32734905 DOI: 10.1016/j.jad.2020.06.038] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2020] [Revised: 06/22/2020] [Accepted: 06/23/2020] [Indexed: 12/14/2022]
Abstract
BACKGROUND There were few studies to examine the associations of food preferences and obesity patterns with the incident mild cognitive impairment (MCI). Therefore, this study aimed to examine the associations of health behaviors, food preferences, and with the incidence of MCI. METHODS All participants aged ≥ 55 years were potential eligible. The types of health behaviors and food preferences were recorded using the valid questionnaire. The obesity patterns were defined as follows:G-/A-, G+/A- or G-/A+, and G+/A+. The cognition tests included immediate and delayed recall, counting backward from 20, and serial 7 subtraction. The total cognitive score ranged from 0 to 27. Subjects with a score < 7 were considered as MCI. RESULTS There were 8236 subjects included in this study. Martial arts, ping pong, and reading or writing were associated with the lower incident MCI (P = 0.039, 0.006, and 0.016, respectively). However, TV or computer usage was associated with the higher incident MCI (P = 0.029; HR: 1.455; and HR 95% CI: 1.040- 2.036). Fast foods, soft/sugared drinks, and salty snack foods increased the incident MCI (P< 0.001, = 0.032, and 0.002, respectively). G+/A- or G-/A+ and G+/A+ were associated with the lower incident MCI (P = 0.018 and < 0.001, respectively). LIMITATIONS The basic mechanisms of health behaviors, food preferences, and obesity patterns on the risk of MCI were not fully explained. CONCLUSION Reading or writing and G+/A+ were associated with the lower incident MCI. However, TV or computer usage and fast foods were associated with the higher incident MCI.
Collapse
Affiliation(s)
- Tianda Feng
- Department of Neurosurgery, Shengjing Hospital of China Medical University, Shenyang, China
| | - Ziyi Feng
- Department of Postgraduate, China Medical University, Shenyang, Liaoning, China
| | - Lili Jiang
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, No.36, San Hao Street, Shenyang, Liaoning 110004, China
| | - Qi Yu
- Department of Neurosurgery, Shengjing Hospital of China Medical University, Shenyang, China
| | - Kuiran Liu
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, No.36, San Hao Street, Shenyang, Liaoning 110004, China.
| |
Collapse
|
21
|
Shi Z, El-Obeid T, Li M, Xu X, Liu J. Iron-related dietary pattern increases the risk of poor cognition. Nutr J 2019; 18:48. [PMID: 31464628 PMCID: PMC6716885 DOI: 10.1186/s12937-019-0476-9] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2019] [Accepted: 08/20/2019] [Indexed: 12/12/2022] Open
Abstract
INTRODUCTION High iron intake has been shown to be associated with poor cognition. We aimed to examine the association between iron-related dietary pattern (IDP) and cognitive function in Chinese adults. METHOD Longitudinal study data from the China Health and Nutrition Survey (CHNS) during 1991-2006 were used (N = 4852, ≥55 years old). Dietary intake was obtained from a 3-day food record during home visits. Reduced rank regression was used to construct IDP with iron intake as a response variable. Cognitive function was assessed in 1997, 2000, 2004 and 2006. Multivariable mixed linear regression and logistic regression were used in the analyses. RESULTS IDP was characterised by high intake of fresh vegetable, wheat, legume, beverage, offal, rice and whole grain. High IDP intake was associated with poor cognition. In fully adjusted models, across the quartiles of IDP, the odds ratio (95% CI) for poor cognitive function were: 1.00, 1.06 (0.86-1.30), 1.24 (0.99-1.54), and 1.50 (1.17-1.93), respectively. There was a borderline significant interaction between IDP and meat intake (p interaction 0.085). The association between high IDP and poor cognition was only observed among those with no or low intake of meat. With the adjustment of carbohydrate or iron intake, the IDP and cognition association became non-significant. IDP was positively associated with lead intake. The association between IDP and poor cognition was partly mediated by lead intake. CONCLUSIONS Iron-related dietary pattern is associated with poor cognition in Chinese adults, partly due to high intake of carbohydrate, iron and lead.
Collapse
Affiliation(s)
- Zumin Shi
- Human Nutrition Department, College of Health Science, QU Health, Qatar University, Doha, Qatar
| | - Tahra El-Obeid
- Human Nutrition Department, College of Health Science, QU Health, Qatar University, Doha, Qatar
| | - Ming Li
- Centre for Population Health Research, Division of Health Sciences, University of South Australia, Adelaide, Australia
| | - Xiaoyue Xu
- Faculty of Health, University of Technology Sydney, Sydney, Australia
| | - Jianghong Liu
- University of Pennsylvania School of Nursing, Philadelphia, USA
| |
Collapse
|
22
|
Liu Z, Zhao L, Man Q, Wang J, Zhao W, Zhang J. Dietary Micronutrients Intake Status among Chinese Elderly People Living at Home: Data from CNNHS 2010-2012. Nutrients 2019; 11:E1787. [PMID: 31382399 PMCID: PMC6722721 DOI: 10.3390/nu11081787] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2019] [Revised: 07/31/2019] [Accepted: 07/31/2019] [Indexed: 12/11/2022] Open
Abstract
The aim of this study was to examine the status of usual dietary micronutrient intakes among Chinese elderly living at home. The data was based on China National Nutrition and Health Survey (CNNHS) 2010-2012. We analyzed data from the participants aged 60-year-old and more (n = 16,612) living at home, who provided dietary data on three days 24 h dietary survey combining with the household weighing method. The means and distribution percentiles for usual intakes of dietary micronutrients were estimated using the Multiple Source Method (MSM). The prevalence of inadequacy for the selected micronutrients was expressed using the proportion of individuals with usual intakes below the Estimated Average Requirement (EAR). For vitamin E, sodium and potassium, the means and the distribution of intakes were compared to the Adequate Intake (AI) level. Usual dietary intakes of most micronutrients were inadequate in the participants, especially folate, calcium, vitamin B6 and vitamin B2, with the prevalence of inadequacy more than 90%. However, dietary sodium intake was extremely high with an average usual intake of 4702 mg/day. The usual dietary intakes of all selected micronutrients in old males were higher than females, and the prevalence of inadequacy of most micronutrients was higher in old women (p < 0.01). The subjects aged 60-74 years tended to have higher usual dietary micronutrient intakes and lower prevalence of inadequate micronutrients than those aged 75 years and over (p < 0.01). Higher usual dietary intakes and lower prevalence of inadequacy of most micronutrients were found in the elderly living in the southern region (p < 0.01). The average usual intakes of most micronutrients declined with socioeconomic status. The prevalence of inadequate vitamin A, B2, C, calcium and selenium below EAR increased with socioeconomic status (p < 0.01, p for trend < 0.01). Thus, essential micronutrients insufficient intake is a public health concern among Chinese community-dwelling old population, especially the females, older people, the elderly in undeveloped areas or living in northern regions. Nutrition education and appropriate approach should be undertaken to address these problems.
Collapse
Affiliation(s)
- Zhen Liu
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, 29 Nanwei Road, Xicheng District, Beijing 100050, China
| | - Liyun Zhao
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, 29 Nanwei Road, Xicheng District, Beijing 100050, China
| | - Qingqing Man
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, 29 Nanwei Road, Xicheng District, Beijing 100050, China
| | - Jingzhong Wang
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, 29 Nanwei Road, Xicheng District, Beijing 100050, China
| | - Wenhua Zhao
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, 29 Nanwei Road, Xicheng District, Beijing 100050, China
| | - Jian Zhang
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, 29 Nanwei Road, Xicheng District, Beijing 100050, China.
| |
Collapse
|
23
|
Effectiveness of Workplace Nutrition Programs on Anemia Status among Female Readymade Garment Workers in Bangladesh: A Program Evaluation. Nutrients 2019; 11:nu11061259. [PMID: 31163648 PMCID: PMC6627420 DOI: 10.3390/nu11061259] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2019] [Revised: 05/20/2019] [Accepted: 05/21/2019] [Indexed: 12/21/2022] Open
Abstract
Eight in ten female readymade garment (RMG) workers in Bangladesh suffer from anemia, a condition which damages both health and productivity. This study evaluated the effectiveness of a workplace nutrition program on anemia reduction in female RMG workers of Bangladesh. A quasi-experimental mixed method study was conducted on 1310 non-pregnant female RMG workers from four factories. Two types of intervention packages (A and C) were tested against their respective controls (B and D) over a 10-month period. Among factories that already provided lunch to workers with regular behavior change counseling (BCC), one intervention (A) and one control (B) factory were selected, and among factories that did not provide lunches to their workers but provided regular BCC, one intervention (C) and one control (D) factory were selected: (A) Lunch meal intervention package: daily nutritionally-enhanced (with fortified rice) hot lunch, once weekly iron-folic acid (IFA) supplement and monthly enhanced (with nutrition module) behavior change counseling (BCC) versus (B) Lunch meal control package: regular lunch and BCC; and (C) Non-meal intervention package: twice-weekly IFA and enhanced BCC versus (D) Non-meal control package: BCC alone. Body weight and capillary hemoglobin were measured. Changes in anemia prevalence were estimated by difference-in-difference (DID) method. Thematic analysis of qualitative in-depth interviews with RMG workers was performed and findings were triangulated. Anemia was reduced significantly in both lunch meal and non-meal intervention (A and C) group (DID: 32 and 12 percentage points, p: <0.001 and <0.05 respectively). The mean hemoglobin concentration also significantly increased by 1 gm/dL and 0.4 gm/dL in both A and C group (p: <0.001 respectively). Weight did not change in the intervention groups (A and C) but significantly increased by more than 1.5 kg in the comparison groups (B and D). The knowledge of different vitamin and mineral containing foods and their benefits was increased significantly among all participants. Workplace nutrition programs can reduce anemia in female RMG workers, with the greatest benefits observed when both nutritionally enhanced lunches and IFA supplements are provided.
Collapse
|
24
|
Li M, Shi Z. A Prospective Association of Nut Consumption with Cognitive Function in Chinese Adults aged 55+ _ China Health and Nutrition Survey. J Nutr Health Aging 2019; 23:211-216. [PMID: 30697633 DOI: 10.1007/s12603-018-1122-5] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
OBJECTIVES We aimed to investigate the association of nut intake with cognitive function in Chinese adults aged 55 and over. DESIGN This was a prospective open cohort study with repeated measurements of diet and cognition scores. Participants/settings: 4822 adults aged 55 and over participating in the China Health Nutrition Survey during 1991-2006. MEASUREMENTS Global cognitive function measured repeatedly in 1997, 2001, 2004, and 2006 using a subset of modified Telephone Interview for Cognitive Status; poor cognitive function was defined as cognition score<7. Nut consumption was collected using 3-day 24 recall method in 1991, 1993, and at surveys of cognition assessment. STATISTICAL ANALYSES PERFORMED Multilevel mixed effect linear regression and logistic regression analysis were conducted to assess the association with cognitive function. RESULTS The unadjusted cognitive score decreased by 0.29 (95% CI 0.22-0.28) with one-year aging during 1997-2006. Nut intake of more than 10g/d was associated with higher cognition score by 0.63 points (95% CI 0.15-1.12) or 40% less likely to have poor cognitive function (OR 0.60, 95% CI 0.43-0.84) after adjusted for demographic, lifestyle behavioural, BMI, and energy intake. CONCLUSIONS Nut consumption was inversely associated with cognition decline.
Collapse
Affiliation(s)
- M Li
- Ming Li, Centre for Population Health Research, Division of Health Sciences, University of South Australia, IPC CWE-48, GPO Box 2471, Adelaide SA 5001. . Tel: +61 (8) 83021051
| | | |
Collapse
|