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Brikou D, Dimopoulou MA, Drouka A, Ntanasi E, Mamalaki E, Gu Y, Scarmeas N, Yannakoulia M. Eating Frequency, Timing, and Duration in Relation to Cognitive Performance and Alzheimer Disease Biomarkers in Adults. J Nutr 2024; 154:2167-2175. [PMID: 38797480 DOI: 10.1016/j.tjnut.2024.05.025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2024] [Revised: 05/18/2024] [Accepted: 05/23/2024] [Indexed: 05/29/2024] Open
Abstract
BACKGROUND The potential association between temporal dimensions of eating and cognition/cognitive declines has been poorly investigated so far. OBJECTIVES The aim of this study was to examine relationships among eating frequency, timing and time window, and cognitive performance and novel Alzheimer disease (AD) biomarkers in cognitively healthy and mildly cognitively impaired middle-aged and older adults. METHODS Cross-sectional data were derived from the Aiginition Longitudinal Biomarker Investigation of Neurodegeneration (ALBION) cohort study, including people aged 40 y or older who have a positive family history of cognitive disorder or cognition-related concerns. Cognitive performance was assessed by a battery of neuropsychological tests. Amyloid β (Αβ42), a biomarker of AD-related pathology, was measured in cerebrospinal fluid. Eating frequency, timing, and the eating time window between the first and the last meal were estimated using time-related information recorded in four 24-h recalls. RESULTS Study participants had, on average, 5.3 ± 1.2 eating episodes per day, consumed at 8:20 ± 1.3 and 21:14 ± 1.3 h their first and their last eating episode, respectively, while their eating time window was 12.9 ± 1.6 h. Eating frequency, but not eating time window, was positively associated with global cognition, executive and language performance even after controlling for age, sex, education, BMI, and Mediterranean diet. Increasing eating frequency by 1 eating episode per day was associated with 0.169 higher global z-score. Furthermore, compared with ≤4, having 5-6 or >6 eating episodes per day was associated with better global and memory z-scores. Time of last eating episode was also positively associated with language performance. No associations were detected among eating frequency, timing and window, and AD pathology. CONCLUSIONS An eating pattern characterized by less frequent eating and/or by earlier times is present in individuals with worse cognitive performance. Our results shed light on the relevance of temporal eating patterns as potential early markers of behavioral or metabolic changes related to AD pathology.
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Affiliation(s)
- Dora Brikou
- Department of Nutrition and Dietetics, Harokopio University, Athens, Greece
| | | | - Archontoula Drouka
- Department of Nutrition and Dietetics, Harokopio University, Athens, Greece
| | - Eva Ntanasi
- 1st Department of Neurology, Aiginition Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Eirini Mamalaki
- Department of Nutrition and Dietetics, Harokopio University, Athens, Greece; 1st Department of Neurology, Aiginition Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Yian Gu
- The Gertrude H. Sergievsky Center, Taub Institute for Research in Alzheimer's Disease and the Aging Brain, Department of Neurology, Department of Epidemiology, Columbia University, NY, United States
| | - Nikolaos Scarmeas
- 1st Department of Neurology, Aiginition Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece; The Gertrude H. Sergievsky Center, Taub Institute for Research in Alzheimer's Disease and the Aging Brain, Department of Neurology, Department of Epidemiology, Columbia University, NY, United States
| | - Mary Yannakoulia
- Department of Nutrition and Dietetics, Harokopio University, Athens, Greece.
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Liu X, Wang G, Cao Y. The prevalence of mild cognitive impairment and dementia among rural dwellers: A systematic review and meta-analysis. Geriatr Nurs 2024; 56:74-82. [PMID: 38306919 DOI: 10.1016/j.gerinurse.2024.01.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Revised: 01/04/2024] [Accepted: 01/11/2024] [Indexed: 02/04/2024]
Abstract
The mild cognitive impairment (MCI) and dementia in rural areas are increasingly attracting public attention. However, their prevalence is still unclear. This study aims to reveal the distribution of MCI and dementia in rural areas. We systematically searched PubMed, Web of Science, Embase, and PsycINFO up to June 2023 for cohort and cross-sectional studies. Meta-analysis was conducted using random-effects models to evaluate the prevalence of MCI and dementia. Thirty-five studies with 16,936 participants met the inclusion criteria. The pooled prevalence of MCI and dementia was 27 % (n = 12, 95 %CI = 0.21-0.32, I2 = 99.5 %, P < 0.001) and 7 % (n = 27, 95 %CI = 0.05-0.08, I2 = 99.30 %, P < 0.001), respectively. Subgroup analyses revealed that aged 60 years or older [(MCI: 29 %, 95 %CI = 0.20-0.38, I2 = 99.7 %, P < 0.001), (dementia: 9 % (95 %CI = 0.06-0.12, I2 = 99 %, P < 0.001)], female [(MCI: 29 %, 95 %CI = 0.19-0.40, I2 = 99.3 %, P < 0.001), (dementia: 7 %, 95 % CI = 0.04-0.12, I2 = 98.66 %, P < 0.001)], a-MCI (19 %, 95 %CI = 0.12-0.26, I2 = 97.62 %, P < 0.001) and AD (4 %, 95 %CI = 0.02-0.05, I2 = 98.60 %, P < 0.001) showed higher prevalence. The prevalence of MCI and dementia in rural China was 23 % (95 %CI = 0.18-0.29, I2 = 99.5 %, P < 0.001) and 6 % (95 %CI = 0.04-0.08, I2 = 99.6 %, P < 0.001), respectively. Implementing cognitive impairment screening and intervention measures is necessary to improve the cognitive function of the rural population.
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Affiliation(s)
- Xueyan Liu
- School of Nursing and Rehabilitation, Cheeloo College of Medicine, Shandong University, 44 Wenhuaxi Road, Lixia District, Jinan, Shandong Province, China
| | - Guangpeng Wang
- Xiangya School of Nursing, Central South University, 172 Tongzipo Road, Yuelu District, Changsha, Hunan Province, China
| | - Yingjuan Cao
- School of Nursing and Rehabilitation, Cheeloo College of Medicine, Shandong University, 44 Wenhuaxi Road, Lixia District, Jinan, Shandong Province, China; Department of Nursing, Qilu Hospital, Shandong University, 107 Wenhuaxi Road, Lixia District, Jinan, Shandong Province, China; Nursing Theory and Practice Innovation Research Center, Shandong University, Jinan, Shandong, China.
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Brikou D, Charisis S, Drouka A, Christodoulakou SM, Ntanasi E, Mamalaki E, Constadinides VC, Scarmeas N, Yannakoulia M. Daily Energy Intake Distribution and Cognitive Performance in Non-Demented Individuals. Nutrients 2023; 15:nu15030673. [PMID: 36771379 PMCID: PMC9921864 DOI: 10.3390/nu15030673] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2022] [Revised: 01/18/2023] [Accepted: 01/21/2023] [Indexed: 02/01/2023] Open
Abstract
Cognitive disorders have become important public health issues around the world. Studies evaluating the association between cognitive decline and food timing are lacking. The objective of this study was to examine the potential association between energy intake distribution during the day and cognitive performance in cognitively healthy and mildly cognitive impaired individuals. Data were derived from the ongoing Albion study which includes people aged 40 years or older who have a positive family history of cognitive disorder or concern about their cognitive status. A thorough dietary and cognitive assessment was performed. Participants consuming low energy intake at the beginning of the day or high energy at the end of the day had higher cognitive function compared to participants characterized by the opposite pattern. This trend remained statistically significant even after adjustment for potential confounders (p = 0.043). This study suggests that individuals with worse cognitive function may choose to eat earlier during the day, when cognitive performance is better, and it might be hypothesized that a meal pattern characterized by high energy consumption at the beginning of the day or low energy at the end of the day could be a marker of cognitive impairment.
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Affiliation(s)
- Dora Brikou
- Department of Nutrition and Dietetics, Harokopio University, 17671 Athens, Greece
| | - Sokratis Charisis
- Department of Neurology, University of Texas Health Science Center at San Antonio, San Antonio, TX 78229, USA
| | - Archontoula Drouka
- Department of Nutrition and Dietetics, Harokopio University, 17671 Athens, Greece
| | | | - Eva Ntanasi
- Department of Nutrition and Dietetics, Harokopio University, 17671 Athens, Greece
- 1st Department of Neurology, Aiginition Hospital, Medical School, National and Kapodistrian University of Athens, 11528 Athens, Greece
| | - Eirini Mamalaki
- Department of Nutrition and Dietetics, Harokopio University, 17671 Athens, Greece
| | - Vasilios C. Constadinides
- 1st Department of Neurology, Aiginition Hospital, Medical School, National and Kapodistrian University of Athens, 11528 Athens, Greece
| | - Nikolaos Scarmeas
- 1st Department of Neurology, Aiginition Hospital, Medical School, National and Kapodistrian University of Athens, 11528 Athens, Greece
- The Gertrude H. Sergievsky Center, Taub Institute for Research in Alzheimer’s Disease and the Aging Brain, Department of Neurology, Columbia University, New York, NY 10032, USA
| | - Mary Yannakoulia
- Department of Nutrition and Dietetics, Harokopio University, 17671 Athens, Greece
- Correspondence:
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Wang YY, Zhang M, Wang XX, Liu S, Ding H. Correlates of cognitive impairment in the elderly in China: A cross-sectional study. Front Public Health 2022; 10:973661. [PMID: 36339179 PMCID: PMC9633132 DOI: 10.3389/fpubh.2022.973661] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Accepted: 10/04/2022] [Indexed: 01/25/2023] Open
Abstract
Background To identify correlates of the incidence of cognitive impairment among older Chinese populations through the use of logistic regression analysis-based decision tree approaches. Methods Correlates of cognitive impairment among older Chinese adults were identified through logistic regression analyses, with significant variables subsequently being incorporated into a decision tree analysis, with the CHAID method being employed for pre-pruning. Results The risk score derived from the combination of logistic regression and decision tree analyses (0.237) was lower than that derived from a decision tree analysis alone (0.389). The primary factors related cognitive impairment in this patient population included age, gender, residence status, physical health status, and caring for grandchildren. Conclusion A combination of logistic regression and decision tree analyses can lower predicted risk scores, enabling the subdivision of populations with different characteristics and providing intuitive and specific insight regarding the effects of individual variables on predictive analyses. Overall, these results suggest that older adults in rural areas of China should be the focus of further cognitive impairment screening and interventions, particularly for older women.
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Affiliation(s)
- Yuan-yuan Wang
- School of Public Health and Health Management, Anhui Medical College, Hefei, China
| | - Min Zhang
- School of Health Management, Anhui Medical University, Hefei, China
| | - Xiao-xian Wang
- School of Public Health and Health Management, Anhui Medical College, Hefei, China
| | - Song Liu
- School of Health Management, Anhui Medical University, Hefei, China
| | - Hong Ding
- School of Health Management, Anhui Medical University, Hefei, China
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