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Dai J, Nianogo R, Wong ND, Moin T, McClain AC, Alver S, Cordero C, Daviglus ML, Qi Q, Sotres-Alvarez D, Chen L. Energy Intake and Dietary Glycemic Load in Late Morning and Risk of Type 2 Diabetes: The Hispanic Community Health Study/Study of Latinos-A Multicenter Prospective Cohort Study. Diabetes Care 2024; 47:1673-1681. [PMID: 39042564 PMCID: PMC11362120 DOI: 10.2337/dc24-0564] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2024] [Accepted: 06/20/2024] [Indexed: 07/25/2024]
Abstract
OBJECTIVE To evaluate the association between meal timing and type 2 diabetes risk in U.S. Hispanic/Latino adults. RESEARCH DESIGN AND METHODS The Hispanic Community Health Study/Study of Latinos (HCHS/SOL) is a multicenter, community-based, prospective cohort study. This study included 8,868 HCHS/SOL adults without diabetes at baseline (2008-2011) and attending the visit 2 examination (2014-2017). Energy intake and glycemic load (GL) in each meal timing were assessed at baseline using two 24-h dietary recalls. Incident diabetes was identified through annual follow-up calls or at visit 2. Hazard ratios (HRs) for incident diabetes were estimated using Cox models, accounting for the complex survey design. RESULTS The study population (50.9% female) had a baseline mean age of 39.0 (95% CI, 38.4-39.5) years. Over a median (range) follow-up of 5.8 (0.8-9.6) years, 1,262 incident diabetes cases were documented. Greater energy intake and GL in late morning (9:00-11:59 a.m.) were associated with a lower diabetes risk, whereas greater energy intake and GL in other meal timings were not. After accounting for diet quantity and quality, sociodemographic characteristics, lifestyle factors, and chronic conditions, the HRs were 0.94 (95% CI, 0.91-0.97) per 100-kcal energy intake increment and 0.93 (0.89-0.97) per 10-unit GL increment in late morning. Replacing energy intake or GL from early morning (6:00-8:59 a.m.), afternoon (12:00-5:59 p.m.), or evening (6:00-11:59 p.m.) with late-morning equivalents was associated with a comparably lower diabetes risk. CONCLUSIONS This study identified late morning as a favorable meal timing in Hispanic/Latino adults, providing a novel perspective on type 2 diabetes prevention that warrants confirmation.
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Affiliation(s)
- Jin Dai
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA
| | - Roch Nianogo
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA
| | - Nathan D. Wong
- Heart Disease Prevention Program, Division of Cardiology, University of California, Irvine, Irvine, CA
| | - Tannaz Moin
- David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA
- Health Services Research and Development Center for the Study of Healthcare Innovation, Implementation, and Policy, VA Greater Los Angeles Healthcare System, Los Angeles, CA
| | - Amanda C. McClain
- School of Exercise and Nutritional Sciences, San Diego State University, San Diego, CA
| | - Sarah Alver
- Epidemiology Program, Fred Hutchinson Cancer Center, Seattle, WA
| | | | - Martha L. Daviglus
- College of Medicine and Institute for Minority Health Research, University of Illinois at Chicago, Chicago, IL
| | - Qibin Qi
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY
| | - Daniela Sotres-Alvarez
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Liwei Chen
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA
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Raji OE, Kyeremah EB, Sears DD, St-Onge MP, Makarem N. Chrononutrition and Cardiometabolic Health: An Overview of Epidemiological Evidence and Key Future Research Directions. Nutrients 2024; 16:2332. [PMID: 39064774 PMCID: PMC11280377 DOI: 10.3390/nu16142332] [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: 06/06/2024] [Revised: 07/10/2024] [Accepted: 07/11/2024] [Indexed: 07/28/2024] Open
Abstract
Chrononutrition is a rapidly evolving field of nutritional epidemiology that addresses the complex relationship between temporal eating patterns, circadian rhythms, and metabolic health, but most prior research has focused on the cardiometabolic consequences of time-restricted feeding and intermittent fasting. The purpose of this topical review is to summarize epidemiological evidence from observational and intervention studies regarding the role of chrononutrition metrics related to eating timing and regularity in cardiometabolic health preservation and cardiovascular disease prevention. Observational studies are limited due to the lack of time-stamped diet data in most population-based studies. Findings from cohort studies generally indicate that breakfast skipping or the later timing of the first eating occasion, a later lunch and dinner, and a greater proportion of caloric intake consumed in the evening are associated with adverse cardiometabolic outcomes, including higher risk for coronary heart disease, hypertension, type 2 diabetes, obesity, dyslipidemia, and systemic inflammation. Randomized controlled trials are also limited, as most in the field of chrononutrition focus on the cardiometabolic consequences of time-restricted feeding. Overall, interventions that shift eating timing patterns to earlier in the day and that restrict evening caloric intake tend to have protective effects on cardiometabolic health, but small sample sizes and short follow-up are notable limitations. Innovation in dietary assessment approaches, to develop low-cost validated tools with acceptable participant burden that reliably capture chrononutrition metrics, is needed for advancing observational evidence. Culturally responsive pragmatic intervention studies with sufficiently large and representative samples are needed to understand the impact of fixed and earlier eating timing schedules on cardiometabolic health. Additional research is warranted to understand the modifiable determinants of temporal eating patterns, to investigate the role of chrononutrition in the context of other dimensions of diet (quantity, quality, and food and nutrition security) in achieving cardiometabolic health equity, and to elucidate underlying physiological mechanisms.
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Affiliation(s)
- Oluwatimilehin E. Raji
- Department of Epidemiology, Mailman School of Public Health, Columbia University Irving Medical Center, New York, NY 10032, USA; (O.E.R.); (E.B.K.)
| | - Esther B. Kyeremah
- Department of Epidemiology, Mailman School of Public Health, Columbia University Irving Medical Center, New York, NY 10032, USA; (O.E.R.); (E.B.K.)
| | - Dorothy D. Sears
- College of Health Solutions, Arizona State University, Tempe, AZ 85287, USA;
- Department of Medicine, University of California San Diego School of Medicine, La Jolla, CA 92093, USA
- Department of Family Medicine, University of California San Diego School of Medicine, La Jolla, CA 92093, USA
- Center for Circadian Biology, University of California San Diego, La Jolla, CA 92093, USA
| | - Marie-Pierre St-Onge
- Department of Medicine, Columbia University Irving Medical Center, New York, NY 10032, USA;
- Sleep Center of Excellence, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Nour Makarem
- Department of Epidemiology, Mailman School of Public Health, Columbia University Irving Medical Center, New York, NY 10032, USA; (O.E.R.); (E.B.K.)
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Yu J, Xia J, Xu D, Wang Y, Yin S, Lu Y, Xia H, Wang S, Sun G. Effect of skipping breakfast on cardiovascular risk factors: a grade-assessed systematic review and meta-analysis of randomized controlled trials and prospective cohort studies. Front Endocrinol (Lausanne) 2023; 14:1256899. [PMID: 38089630 PMCID: PMC10715426 DOI: 10.3389/fendo.2023.1256899] [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: 07/11/2023] [Accepted: 10/31/2023] [Indexed: 12/18/2023] Open
Abstract
Skipping breakfast is one of the most prevalent irregular eating habits. Several pieces of evidence have reported the association between breakfast omission and a higher risk of cardiovascular diseases. Numerous publications have focused on the impact of skipping breakfast on various cardiovascular risk factors. Therefore, the current systematic review and meta-analysis aimed to assess this impact, especially with regard to anthropometric measurements, serum lipid profiles, blood pressure, and glycemic control indicators. A comprehensive search was performed in PubMed, Web of Science, Embase, Scopus, and the Cochrane Central Register of Controlled Trials up to 1 April 2023. A total of 11 eligible trials were identified to evaluate the combined effects of skipping breakfast. Final integrated results demonstrated that breakfast omission significantly decreased the body weight (mean difference = -0.66, 95% CI: -1.09 to -0.24, p = 0.002, I2 = 0.0) and increased the level of serum low-density lipoprotein cholesterol (LDL-C) (mean difference = 9.89, 95% CI: 5.14 to 14.63, p = 0.000, I2 = 17.3). Subgroup analysis also revealed potential factors that may affect the outcomes, for example, the physiological condition of participants, duration, gender, and type of breakfast. In conclusion, skipping breakfast may reduce body weight while increasing the level of serum LDL-C at the same time. In view of the limited trials, further studies are needed to expound the role of breakfast omission in cardiovascular diseases.
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Affiliation(s)
- Junhui Yu
- Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, School of Public Health, Southeast University, Nanjing, China
- Department of Nutrition and Food Hygiene, School of Public Health, Southeast University, Nanjing, China
| | - Jiayue Xia
- Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, School of Public Health, Southeast University, Nanjing, China
- Department of Nutrition and Food Hygiene, School of Public Health, Southeast University, Nanjing, China
| | - Dengfeng Xu
- Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, School of Public Health, Southeast University, Nanjing, China
- Department of Nutrition and Food Hygiene, School of Public Health, Southeast University, Nanjing, China
| | - Yuanyuan Wang
- Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, School of Public Health, Southeast University, Nanjing, China
- Department of Nutrition and Food Hygiene, School of Public Health, Southeast University, Nanjing, China
| | - Shiyu Yin
- Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, School of Public Health, Southeast University, Nanjing, China
- Department of Nutrition and Food Hygiene, School of Public Health, Southeast University, Nanjing, China
| | - Yifei Lu
- Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, School of Public Health, Southeast University, Nanjing, China
- Department of Nutrition and Food Hygiene, School of Public Health, Southeast University, Nanjing, China
| | - Hui Xia
- Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, School of Public Health, Southeast University, Nanjing, China
- Department of Nutrition and Food Hygiene, School of Public Health, Southeast University, Nanjing, China
| | - Shaokang Wang
- Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, School of Public Health, Southeast University, Nanjing, China
- Department of Nutrition and Food Hygiene, School of Public Health, Southeast University, Nanjing, China
| | - Guiju Sun
- Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, School of Public Health, Southeast University, Nanjing, China
- Department of Nutrition and Food Hygiene, School of Public Health, Southeast University, Nanjing, China
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Zhang K, Feng Y, Chai Y, Wang C, Yu S. Association between dinner timing and glucose metabolism in rural China: A large-scale cross-sectional study. Nutrition 2023; 115:112158. [PMID: 37544210 DOI: 10.1016/j.nut.2023.112158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Revised: 07/02/2023] [Accepted: 07/03/2023] [Indexed: 08/08/2023]
Abstract
OBJECTIVES Meal timing is a major risk factor for metabolic disease. The aim of this study was to assess the relationship between dinner timing and glucose metabolism in the rural Chinese population. METHODS This cross-sectional study included 7701 participants from a Henan rural cohort study. Basic information was collected by in-person questionnaires. Multiple linear regression analysis was used to evaluate the relationship between dinner timing and fasting insulin (FINS), fasting plasma glucose (FPG), and homeostatic model assessment for insulin resistance (HOMA-IR). Restricted cubic spline was employed to investigate the dose-response relationship between dinner timing and FINS, FPG, and HOMA-IR. A generalized linear model was used to explore the interaction effect of age and dinner timing on FINS, FPG, and HOMA-IR. RESULTS After adjusting for confounding factors, FINS concentration was reduced by 0.482 mmol/L (P < 0.001) for each hour delay in dinner timing. Furthermore, the HOMA-IR index decreased by 0.122 mmol/L for each hour delay. The results indicated a noticeable trend of decreasing values associated with later dinner timing (FINS: Poverall association < 0.001, Pnonlinear association = 0.144; HOMA-IR: Poverall association = 0.001, Pnonlinear association = 0.186). The interaction between age and dinner time significantly correlated with FINS and HOMA-IR (P < 0.05). This relationship was statistically significant before 69 y (P < 0.05). CONCLUSION A significant association between dinner timing and glucose metabolism was observed in the rural Chinese population. Delayed dinner timing may be associated with lower fasting insulin. The negative effect of dinner timing on FINS and HOMA-IR was diminished with age.
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Affiliation(s)
- Kaiyang Zhang
- College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Yinhua Feng
- College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Yuanyuan Chai
- College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Chongjian Wang
- College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Songcheng Yu
- College of Public Health, Zhengzhou University, Zhengzhou, China; School of Nursing and Health, Zhengzhou University, Zhengzhou, China.
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Palomar-Cros A, Srour B, Andreeva VA, Fezeu LK, Bellicha A, Kesse-Guyot E, Hercberg S, Romaguera D, Kogevinas M, Touvier M. Associations of meal timing, number of eating occasions and night-time fasting duration with incidence of type 2 diabetes in the NutriNet-Santé cohort. Int J Epidemiol 2023; 52:1486-1497. [PMID: 37328450 DOI: 10.1093/ije/dyad081] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Accepted: 05/31/2023] [Indexed: 06/18/2023] Open
Abstract
BACKGROUND Food intake plays a pivotal role in regulating circadian rhythms, which modulate glucose and lipid homeostasis. However, studies investigating the association of meal timing and type 2 diabetes (T2D) incidence are lacking. The objective of this study was to investigate the longitudinal associations of meal timing, number of eating occasions and night-time fasting duration with incidence of T2D. METHODS In total, 103 312 adults [79% women, mean age at baseline = 42.7 (SD = 14.6)] from the NutriNet-Santé cohort (2009-21) were included. Participants' meal timings and frequency were assessed using repeated 24-h dietary records and averaged from the first 2 years of follow-up (5.7 records/participant). Associations of meal timing, number of eating occasions and night-time fasting duration with incidence of T2D were assessed by using multivariable Cox proportional hazard models adjusted for known risk factors. RESULTS During a median follow-up of 7.3 years, 963 new cases of T2D were ascertained. Compared with participants habitually having a first meal before 8AM, those eating after 9AM had a higher incidence of T2D (HR = 1.59, 95% CI 1.30-1.94). Time of last meal was not associated with T2D incidence. Each additional eating episode was associated with a lower incidence of T2D (HR = 0.95, 95% CI 0.90-0.99). Night-time fasting duration was not associated with T2D incidence, except in participants having breakfast before 8AM and fasting for >13 h overnight (HR = 0.47, 95% CI 0.27-0.82). CONCLUSIONS In this large prospective study, a later first meal was associated with a higher incidence of T2D. If confirmed in other large-scale studies, an early breakfast should be considered in preventing T2D.
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Affiliation(s)
- Anna Palomar-Cros
- Barcelona Institute for Global Health (ISGlobal), Non-Communicable Diseases Programme, Barcelona, Spain
- Department of Medicine and Life Sciences, Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Bernard Srour
- Sorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center-University of Paris (CRESS), Bobigny, France
- Nutrition And Cancer Research Network (NACRe Network), Jouy-en-Josas, France
| | - Valentina A Andreeva
- Sorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center-University of Paris (CRESS), Bobigny, France
| | - Léopold K Fezeu
- Sorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center-University of Paris (CRESS), Bobigny, France
| | - Alice Bellicha
- Sorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center-University of Paris (CRESS), Bobigny, France
- Nutrition And Cancer Research Network (NACRe Network), Jouy-en-Josas, France
| | - Emmanuelle Kesse-Guyot
- Sorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center-University of Paris (CRESS), Bobigny, France
- Nutrition And Cancer Research Network (NACRe Network), Jouy-en-Josas, France
| | - Serge Hercberg
- Sorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center-University of Paris (CRESS), Bobigny, France
- Nutrition And Cancer Research Network (NACRe Network), Jouy-en-Josas, France
- Public Health Department, Avicenne Hospital, AP-HP, Bobigny, France
| | - Dora Romaguera
- Barcelona Institute for Global Health (ISGlobal), Non-Communicable Diseases Programme, Barcelona, Spain
- Health Research Institute of the Balearic Islands (IdISBa), University Hospital Son Espases, Palma de Mallorca, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - Manolis Kogevinas
- Barcelona Institute for Global Health (ISGlobal), Non-Communicable Diseases Programme, Barcelona, Spain
- Department of Medicine and Life Sciences, Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Institute of Health Carlos III, Madrid, Spain
| | - Mathilde Touvier
- Sorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center-University of Paris (CRESS), Bobigny, France
- Nutrition And Cancer Research Network (NACRe Network), Jouy-en-Josas, France
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Hung ST, Cheng YC, Wu CC, Su CH. Examining Physical Wellness as the Fundamental Element for Achieving Holistic Well-Being in Older Persons: Review of Literature and Practical Application in Daily Life. J Multidiscip Healthc 2023; 16:1889-1904. [PMID: 37435298 PMCID: PMC10329914 DOI: 10.2147/jmdh.s419306] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2023] [Accepted: 06/29/2023] [Indexed: 07/13/2023] Open
Abstract
This review examines the impact of physical activity, nutrition, and sleep evaluations on the physical wellness (PW) and overall well-being of older individuals. A comprehensive search was conducted in databases like PubMed, Google Scholar, and EBSCO Information Services. The search spanned from January 2000 to December 2022, resulting in 19,400 articles, out of which 98 review articles met the inclusion criteria. Through the analysis of these articles, key characteristics of the literature were summarized, and opportunities to enhance the practical application of physical activity (PA), nutrition, and sleep evaluations in the daily lives of older persons were identified. Regular physical activity is crucial for older persons to maintain their physical, mental, and emotional well-being and prevent age-related health issues. Older persons have specific nutritional needs, including increased protein, vitamin D, calcium, and vitamin B12 intake. Poor sleep quality in older persons is associated with negative health outcomes such as cognitive decline, physical disability, and mortality. This review emphasizes the significance of considering physical wellness as a fundamental element for achieving holistic well-being in older persons and highlights the importance of physical activity, nutrition, and sleep evaluations in improving their overall health and well-being. By understanding and implementing these findings, we can enhance the quality of life and promote healthy aging in older persons.
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Affiliation(s)
- Sheng-Te Hung
- Graduate Institute of Sports Coaching Science, College of Kinesiology and Health, Chinese Culture University, Taipei, 111396, Taiwan
| | - Yi-Chen Cheng
- Department of Exercise and Health Promotion, College of Kinesiology and Health, Chinese Culture University, Taipei, 111396, Taiwan
| | - Chieh-Chen Wu
- Department of Exercise and Health Promotion, College of Kinesiology and Health, Chinese Culture University, Taipei, 111396, Taiwan
| | - Chun-Hsien Su
- Graduate Institute of Sports Coaching Science, College of Kinesiology and Health, Chinese Culture University, Taipei, 111396, Taiwan
- Department of Exercise and Health Promotion, College of Kinesiology and Health, Chinese Culture University, Taipei, 111396, Taiwan
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Association between Meal Frequency and Type 2 Diabetes Mellitus in Rural Adults: A Large-Scale Cross-Sectional Study. Nutrients 2023; 15:nu15061348. [PMID: 36986079 PMCID: PMC10056094 DOI: 10.3390/nu15061348] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Revised: 03/07/2023] [Accepted: 03/08/2023] [Indexed: 03/12/2023] Open
Abstract
Diet frequency may potentially influence metabolic health. However, general population-based evidence on the association between meal frequency and type 2 diabetes mellitus (T2DM) remains limited and inconclusive. Thus, this study aimed to investigate the association between meal frequency and T2DM in resource limited area. A total of 29,405 qualified participants were enrolled from the Henan rural cohort study. Data on meal frequency were collected through a validated face-to-face questionnaire survey. Logistic regression models were utilized to explore the association between meal frequency and T2DM. Compared with 21 times per week meal frequency group, the adjusted odds ratios (ORs) and 95% confidence intervals (95%CIs) were 0.75 (0.58, 0.95) and 0.70 (0.54, 0.90) for 16–20 times/week group and 14–15 times/week group, respectively. For the analysis of the three meals, significant associations were only found between dinner frequency and T2DM. Compared with seven times per week dinner group, the ORs (95%CIs) were 0.66 (0.42, 0.99) and 0.51 (0.29, 0.82) for the group with three to six times/week and zero to two times/week. Reduced meal frequency, especially dinner frequency, was associated with lower prevalence of T2DM, which suggests that an appropriate reduction in meal frequency per week may have a role in decreasing the risk of T2DM.
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Ley SH, Romrell AM. Healthy eating for healthy aging: What and when to eat as an older adult. Am J Clin Nutr 2022; 116:293-294. [PMID: 35678559 PMCID: PMC9348973 DOI: 10.1093/ajcn/nqac121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Affiliation(s)
| | - Amanda M Romrell
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA
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