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Tokunaga-Nakawatase Y, Aomori M, Watabe S. Lifestyle behaviors that reduce food and fat intake in patients with type 2 diabetes within 3 months of diagnosis lead to a reduction in the HbA1c level after 12 months. Diabetol Int 2023; 14:413-421. [PMID: 37781461 PMCID: PMC10533453 DOI: 10.1007/s13340-023-00650-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Accepted: 07/05/2023] [Indexed: 10/03/2023]
Abstract
It is important to provide "Diabetes Self-Management Education and Support," the ongoing process of facilitating the knowledge, skills, and ability necessary for diabetes self-care, immediately after diagnosis. In this 12-month (12 M) longitudinal observational study, outpatients within 3 months of their first diagnosis of type 2 diabetes mellitus (T2DM) were surveyed at baseline (BL) and 12 M using a self-administered questionnaire used in the "Lifestyle Intervention Support Software for Diabetes Prevention" and medical record survey. To explore factors associated with the change extent in HbA1c level during the 12 M post-diagnosis, hierarchical multiple regression analysis was performed with sex, age, HbA1c level at BL, medication in the first 12 M post-diagnosis, and lifestyle behaviors related to diet and exercise therapy as independent variables. The HbA1c level of the 89 participants was 8.4% ± 2.2% at BL and 6.7% ± 1.0% at 12 M. "ND06 I add milk to coffee or tea (reverse item)" (β = -0.110, p = 0.015), "RD15 I eat vegetable dishes such as a vegetable side dish and/or a vinegar or pickle dish" (β = 0.151, p = 0.003), "ND02 I eat until I feel full (reverse item)" (β = -0.115, p = 0.024), and "RD14 I select udon or soba instead of Chinese noodles in soups" (β = -0.113, p = 0.007) were associated with the change extent in the HbA1c level during the 12 M post-diagnosis. Overall, it may be useful to support patients with T2DM early post-diagnosis to improve lifestyle behaviors associated with the extent of change in HbA1c level during the 12 M post-diagnosis.
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Affiliation(s)
- Yuri Tokunaga-Nakawatase
- Department of Nursing, Faculty of Health Sciences, Kyorin University, 5-4-1Shimorenjyuku, Mitaka, 181-8612 Tokyo, Japan
- Department of Adult Nursing, Nursing Course, School of Medicine, Yokohama City University, 3-9 Fukuura, Kanazawa-Ku, 236-0004 Yokohama, Japan
| | - Maki Aomori
- Department of Adult Nursing, Nursing Course, School of Medicine, Yokohama City University, 3-9 Fukuura, Kanazawa-Ku, 236-0004 Yokohama, Japan
| | - Setsuko Watabe
- Department of Adult Nursing, Nursing Course, School of Medicine, Yokohama City University, 3-9 Fukuura, Kanazawa-Ku, 236-0004 Yokohama, Japan
- Department of Nursing, Faculty of Medical Sciences, Shonan University of Medical Sciences, 3-9 Kamishinano, Totsuka-Ku, Yokohama, 244-0806 Japan
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Lee BY, Ordovás JM, Parks EJ, Anderson CAM, Barabási AL, Clinton SK, de la Haye K, Duffy VB, Franks PW, Ginexi EM, Hammond KJ, Hanlon EC, Hittle M, Ho E, Horn AL, Isaacson RS, Mabry PL, Malone S, Martin CK, Mattei J, Meydani SN, Nelson LM, Neuhouser ML, Parent B, Pronk NP, Roche HM, Saria S, Scheer FAJL, Segal E, Sevick MA, Spector TD, Van Horn L, Varady KA, Voruganti VS, Martinez MF. Research gaps and opportunities in precision nutrition: an NIH workshop report. Am J Clin Nutr 2022; 116:1877-1900. [PMID: 36055772 PMCID: PMC9761773 DOI: 10.1093/ajcn/nqac237] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Revised: 04/06/2022] [Accepted: 08/30/2022] [Indexed: 02/01/2023] Open
Abstract
Precision nutrition is an emerging concept that aims to develop nutrition recommendations tailored to different people's circumstances and biological characteristics. Responses to dietary change and the resulting health outcomes from consuming different diets may vary significantly between people based on interactions between their genetic backgrounds, physiology, microbiome, underlying health status, behaviors, social influences, and environmental exposures. On 11-12 January 2021, the National Institutes of Health convened a workshop entitled "Precision Nutrition: Research Gaps and Opportunities" to bring together experts to discuss the issues involved in better understanding and addressing precision nutrition. The workshop proceeded in 3 parts: part I covered many aspects of genetics and physiology that mediate the links between nutrient intake and health conditions such as cardiovascular disease, Alzheimer disease, and cancer; part II reviewed potential contributors to interindividual variability in dietary exposures and responses such as baseline nutritional status, circadian rhythm/sleep, environmental exposures, sensory properties of food, stress, inflammation, and the social determinants of health; part III presented the need for systems approaches, with new methods and technologies that can facilitate the study and implementation of precision nutrition, and workforce development needed to create a new generation of researchers. The workshop concluded that much research will be needed before more precise nutrition recommendations can be achieved. This includes better understanding and accounting for variables such as age, sex, ethnicity, medical history, genetics, and social and environmental factors. The advent of new methods and technologies and the availability of considerably more data bring tremendous opportunity. However, the field must proceed with appropriate levels of caution and make sure the factors listed above are all considered, and systems approaches and methods are incorporated. It will be important to develop and train an expanded workforce with the goal of reducing health disparities and improving precision nutritional advice for all Americans.
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Affiliation(s)
- Bruce Y Lee
- Health Policy and Management, City University of New York Graduate School of Public Health and Health Policy, New York, NY, USA
| | - José M Ordovás
- USDA-Human Nutrition Research Center on Aging at Tufts University, Boston, MA, USA
| | - Elizabeth J Parks
- Nutrition and Exercise Physiology, University of Missouri School of Medicine, MO, USA
| | | | - Albert-László Barabási
- Network Science Institute and Department of Physics, Northeastern University, Boston, MA, USA
| | | | - Kayla de la Haye
- Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Valerie B Duffy
- Allied Health Sciences, University of Connecticut, Storrs, CT, USA
| | - Paul W Franks
- Novo Nordisk Foundation, Hellerup, Denmark, Copenhagen, Denmark, and Lund University Diabetes Center, Sweden
- The Lund University Diabetes Center, Malmo, SwedenInsert Affiliation Text Here
| | - Elizabeth M Ginexi
- National Institutes of Health, Office of Behavioral and Social Sciences Research, Bethesda, MD, USA
| | - Kristian J Hammond
- Computer Science, Northwestern University McCormick School of Engineering, IL, USA
| | - Erin C Hanlon
- Department of Medicine, The University of Chicago, Chicago, IL, USA
| | - Michael Hittle
- Epidemiology and Clinical Research, Stanford University, Stanford, CA, USA
| | - Emily Ho
- Public Health and Human Sciences, Linus Pauling Institute, Oregon State University, Corvallis, OR, USA
| | - Abigail L Horn
- Information Sciences Institute, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, USA
| | | | | | - Susan Malone
- Rory Meyers College of Nursing, New York University, New York, NY, USA
| | - Corby K Martin
- Ingestive Behavior Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA, USA
| | - Josiemer Mattei
- Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Simin Nikbin Meydani
- USDA-Human Nutrition Research Center on Aging at Tufts University, Boston, MA, USA
| | - Lorene M Nelson
- Epidemiology and Population Health, Stanford University, Stanford, CA, USA
| | | | - Brendan Parent
- Grossman School of Medicine, New York University, New York, NY, USA
| | | | - Helen M Roche
- UCD Conway Institute, School of Public Health, Physiotherapy, and Sports Science, University College Dublin, Dublin, Ireland
| | - Suchi Saria
- Johns Hopkins University, Baltimore, MD, USA
| | - Frank A J L Scheer
- Brigham and Women's Hospital, Boston, MA, USA
- Medicine and Neurology, Harvard Medical School, Boston, MA, USA
| | - Eran Segal
- Computer Science and Applied Math, Weizmann Institute of Science, Rehovot, Israel
| | - Mary Ann Sevick
- Grossman School of Medicine, New York University, New York, NY, USA
| | - Tim D Spector
- Twin Research and Genetic Epidemiology, King's College London, London, United Kingdom
| | - Linda Van Horn
- Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Krista A Varady
- Kinesiology and Nutrition, University of Illinois at Chicago, Chicago, IL, USA
| | - Venkata Saroja Voruganti
- Nutrition and Nutrition Research Institute, Gillings School of Public Health, The University of North Carolina, Chapel Hill, NC, USA
| | - Marie F Martinez
- Health Policy and Management, City University of New York Graduate School of Public Health and Health Policy, New York, NY, USA
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Shibuta T, Waki K, Miyake K, Igarashi A, Yamamoto-Mitani N, Sankoda A, Takeuchi Y, Sumitani M, Yamauchi T, Nangaku M, Ohe K. Preliminary Efficacy, Feasibility, and Perceived Usefulness of a Smartphone-Based Self-Management System with Personalized Goal Setting and Feedback to Increase Step Count among Workers with High Blood Pressure: Before-After Study (Preprint). JMIR Cardio 2022. [PMID: 37477976 PMCID: PMC10403795 DOI: 10.2196/43940] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/03/2023] Open
Abstract
BACKGROUND High blood pressure (BP) and physical inactivity are the major risk factors for cardiovascular diseases. Mobile health is expected to support patients' self-management for improving cardiovascular health; the development of fully automated systems is necessary to minimize the workloads of health care providers. OBJECTIVE The objective of our study was to evaluate the preliminary efficacy, feasibility, and perceived usefulness of an intervention using a novel smartphone-based self-management system (DialBetes Step) in increasing steps per day among workers with high BP. METHODS On the basis of the Social Cognitive Theory, we developed personalized goal-setting and feedback functions and information delivery functions for increasing step count. Personalized goal setting and feedback consist of 4 components to support users' self-regulation and enhance their self-efficacy: goal setting for daily steps, positive feedback, action planning, and barrier identification and problem-solving. In the goal-setting component, users set their own step goals weekly in gradual increments based on the system's suggestion. We added these fully automated functions to an extant system with the function of self-monitoring daily step count, BP, body weight, blood glucose, exercise, and diet. We conducted a single-arm before-and-after study of workers with high BP who were willing to increase their physical activity. After an educational group session, participants used only the self-monitoring function for 2 weeks (baseline) and all functions of DialBetes Step for 24 weeks. We evaluated changes in steps per day, self-reported frequencies of self-regulation and self-management behavior, self-efficacy, and biomedical characteristics (home BP, BMI, visceral fat area, and glucose and lipid parameters) around week 6 (P1) of using the new functions and at the end of the intervention (P2). Participants rated the usefulness of the system using a paper-based questionnaire. RESULTS We analyzed 30 participants (n=19, 63% male; mean age 52.9, SD 5.3 years); 1 (3%) participant dropped out of the intervention. The median percentage of step measurement was 97%. Compared with baseline (median 10,084 steps per day), steps per day significantly increased at P1 (median +1493 steps per day; P<.001), but the increase attenuated at P2 (median +1056 steps per day; P=.04). Frequencies of self-regulation and self-management behavior increased at P1 and P2. Goal-related self-efficacy tended to increase at P2 (median +5%; P=.05). Home BP substantially decreased only at P2. Of the other biomedical characteristics, BMI decreased significantly at P1 (P<.001) and P2 (P=.001), and high-density lipoprotein cholesterol increased significantly only at P1 (P<.001). DialBetes Step was rated as useful or moderately useful by 97% (28/29) of the participants. CONCLUSIONS DialBetes Step intervention might be a feasible and useful way of increasing workers' step count for a short period and, consequently, improving their BP and BMI; self-efficacy-enhancing techniques of the system should be improved.
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Drazba KT, Denton JJ, Hurst CB, McGwin G, MacLennan PA, Ovalle F. Incorporation of a genetics-based information module into standardized diabetes patient education. Prim Care Diabetes 2021; 15:706-712. [PMID: 33994279 DOI: 10.1016/j.pcd.2021.04.013] [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: 02/24/2021] [Revised: 04/26/2021] [Accepted: 04/27/2021] [Indexed: 11/24/2022]
Abstract
OBJECTIVE The purpose of this study is to investigate the effectiveness of a genetics educational module created to improve understanding about the genetics of diabetes, assess motivation to engage in healthy lifestyle behaviors, and gauge interest in genetic testing for diabetes. METHODS Participants were recruited from the Multidisciplinary Comprehensive Diabetes Clinic at the University of Alabama at Birmingham. Participants completed a pre-survey to assess three domains: (1) knowledge about diabetes etiology and testing, (2) healthy lifestyle behaviors, and (3) interest in genetic testing. Participants viewed a short, recorded educational module, then completed a post-survey to re-assess the domains. RESULTS Participants increased knowledge about genetics of diabetes (p < 0.0001) and genetic testing (p = 0.0184), demonstrated motivation to adopt healthy behaviors (p < 0.0001), and decreased interest in genetic testing (p = 0.0833) after viewing the module. CONCLUSIONS The educational module increased understanding of diabetes and increased motivation to adopt healthy behaviors. The need for patient-friendly educational modules explaining the genetics of diabetes will likely increase with continued discoveries of how genetics contributes to diabetes risk and outcomes. This short, educational module has the potential to provide genetic information in an effective way that is easily adapted in a routine clinic setting.
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Affiliation(s)
- Kathryn T Drazba
- Department of Clinical and Diagnostic Sciences, University of Alabama at Birmingham, Birmingham, AL, United States
| | - Jessica Johnson Denton
- Department of Clinical and Diagnostic Sciences, University of Alabama at Birmingham, Birmingham, AL, United States.
| | - Christina Barger Hurst
- Department of Clinical and Diagnostic Sciences, University of Alabama at Birmingham, Birmingham, AL, United States
| | - Gerald McGwin
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, United States
| | - Paul A MacLennan
- Department of Surgery, University of Alabama at Birmingham, Birmingham, AL, United States
| | - Fernando Ovalle
- Division of Endocrinology, Diabetes and Metabolism, University of Alabama at Birmingham, Birmingham, AL, United States
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Tokunaga-Nakawatase Y, Nishigaki M, Taru C, Miyawaki I, Nishida J, Kosaka S, Sanada H, Kazuma K. Computer-supported indirect-form lifestyle-modification support program using Lifestyle Intervention Support Software for Diabetes Prevention (LISS-DP) for people with a family history of type 2 diabetes in a medical checkup setting: a randomized controlled trial. Prim Care Diabetes 2014; 8:207-214. [PMID: 24529485 DOI: 10.1016/j.pcd.2014.01.007] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2013] [Revised: 01/09/2014] [Accepted: 01/18/2014] [Indexed: 12/11/2022]
Abstract
AIMS To investigate the effect of a computer-supported indirect-form lifestyle-modification program using Lifestyle Intervention Support Software for Diabetes Prevention (LISS-DP), as a clinically feasible strategy for primary prevention, on diet and physical activity habits in adults with a family history of type 2 diabetes. METHODS This was a two-arm, randomized controlled trial: (1) lifestyle intervention (LI) group (n=70); (2) control (n=71). Healthy adults aged 30-60 years with a history of type 2 diabetes among their first-degree relatives were recruited. LI group received three times of lifestyle intervention using LISS-DP during six-month intervention period via mail. RESULTS Lifestyle intervention group showed significantly greater decrease in energy intake six months after baseline, compared to control (-118.31 and -24.79 kcal/day, respectively, p=0.0099, Cohen's d=0.22), though the difference disappeared 1 year after from baseline. No difference was found in physical activity energy expenditure. CONCLUSIONS A computer-based, non-face-to-face lifestyle intervention was effective on dietary habits, only during the intervention period. Further examination of the long-term effects of such intervention and physical activity is required.
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Affiliation(s)
- Yuri Tokunaga-Nakawatase
- Department of Adult Nursing, School of Health Sciences and Nursing, Graduate School of Medicine, The University of Tokyo, Bunkyo-ku, Tokyo, Japan.
| | - Masakazu Nishigaki
- Department of Adult Nursing, School of Health Sciences and Nursing, Graduate School of Medicine, The University of Tokyo, Bunkyo-ku, Tokyo, Japan
| | - Chiemi Taru
- Department of Nursing, Graduate School of Health Sciences, Kobe University, Kobe, Hyogo, Japan
| | - Ikuko Miyawaki
- Department of Nursing, Graduate School of Health Sciences, Kobe University, Kobe, Hyogo, Japan
| | - Junko Nishida
- Social Insurance Chuo General Hospital, Shinjuku-ku, Tokyo, Japan
| | - Shiho Kosaka
- Department of Adult Nursing, School of Health Sciences and Nursing, Graduate School of Medicine, The University of Tokyo, Bunkyo-ku, Tokyo, Japan
| | - Hiromi Sanada
- Department of Gerontological Nursing/Wound Care Management, Division of Health Sciences and Nursing, Graduate School of Medicine, The University of Tokyo, Bunkyo-ku, Tokyo, Japan
| | - Keiko Kazuma
- Department of Adult Nursing, School of Health Sciences and Nursing, Graduate School of Medicine, The University of Tokyo, Bunkyo-ku, Tokyo, Japan
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