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Thaenpramun R, Komolsuradej N, Buathong N, Srikrajang S. Association between glycaemic control and malnutrition in older adults with type 2 diabetes mellitus: a cross-sectional study. Br J Nutr 2024; 131:1497-1505. [PMID: 38239007 PMCID: PMC11043908 DOI: 10.1017/s0007114524000175] [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: 08/29/2023] [Revised: 12/28/2023] [Accepted: 01/16/2024] [Indexed: 02/13/2024]
Abstract
Malnutrition is a major problem among older adults with type 2 diabetes mellitus (T2DM). Some studies suggest that well glycaemic control increases the risk of frailty due to reduced intake. Therefore, it could be hypothesised that adequate glycaemic controlled patients may be at risk of malnutrition. This study aimed to examine, in older adults with T2DM, the association between adequate glycaemic control and malnutrition as well as identify the risk factors for malnutrition. Data including general characteristics, health status, depression, functional abilities, cognition and nutrition status were analysed. Poor nutritional status is defined as participants assessed with the Mini Nutritional Assessment as being at risk of malnutrition or malnourished. Adequate glycaemic control refers to an HbA1c level that meets the target base in the American Diabetes Association 2022 guidelines with individualised criteria. There were 287 participants with a median (interquartile range) age of 64 (61-70) years, a prevalence of poor nutrition, 15 %, and adequate glycaemic control, 83·6 %. This study found no association between adequate glycaemic control and poor nutrition (P = 0·67). The factors associated with poor nutritional status were low monthly income (adjusted OR (AOR) 4·66, 95 % CI 1·28, 16·98 for income < £118 and AOR 7·80, 95 % CI 1·74, 34·89 for income £118-355), unemployment (AOR 4·23, 95 % CI 1·51, 11·85) and cognitive impairment (AOR 5·28, 95 % CI 1·56, 17·93). These findings support the notion that older adults with T2DM should be encouraged to maintain adequate glycaemic control without concern for malnutrition, especially those who have low income, unemployment or decreased cognitive functions.
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Affiliation(s)
- Rattiyaphon Thaenpramun
- Department of Family and Preventive Medicine, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla90110, Thailand
| | - Narucha Komolsuradej
- Department of Family and Preventive Medicine, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla90110, Thailand
| | - Napakkawat Buathong
- Department of Family and Preventive Medicine, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla90110, Thailand
| | - Siwaluk Srikrajang
- Department of Physical Therapy, Faculty of Medicine, Prince of Songkla University, 15 Kanjanavanich road, Hat Yai, Songkhla90110, Thailand
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Bardon LA, Corish CA, Lane M, Bizzaro MG, Loayza Villarroel K, Clarke M, Power LC, Gibney ER, Dominguez Castro P. Ageing rate of older adults affects the factors associated with, and the determinants of malnutrition in the community: a systematic review and narrative synthesis. BMC Geriatr 2021; 21:676. [PMID: 34863118 PMCID: PMC8642873 DOI: 10.1186/s12877-021-02583-2] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2020] [Accepted: 10/25/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Malnutrition negatively impacts on health, quality of life and disease outcomes in older adults. The reported factors associated with, and determinants of malnutrition, are inconsistent between studies. These factors may vary according to differences in rate of ageing. This review critically examines the evidence for the most frequently reported sociodemographic factors and determinants of malnutrition and identifies differences according to rates of ageing. METHODS A systematic search of the PubMed Central and Embase databases was conducted in April 2019 to identify papers on ageing and poor nutritional status. Numerous factors were identified, including factors from demographic, food intake, lifestyle, social, physical functioning, psychological and disease-related domains. Where possible, community-dwelling populations assessed within the included studies (N = 68) were categorised according to their ageing rate: 'successful', 'usual' or 'accelerated'. RESULTS Low education level and unmarried status appear to be more frequently associated with malnutrition within the successful ageing category. Indicators of declining mobility and function are associated with malnutrition and increase in severity across the ageing categories. Falls and hospitalisation are associated with malnutrition irrespective of rate of ageing. Factors associated with malnutrition from the food intake, social and disease-related domains increase in severity in the accelerated ageing category. Having a cognitive impairment appears to be a determinant of malnutrition in successfully ageing populations whilst dementia is reported to be associated with malnutrition within usual and accelerated ageing populations. CONCLUSIONS This review summarises the factors associated with malnutrition and malnutrition risk reported in community-dwelling older adults focusing on differences identified according to rate of ageing. As the rate of ageing speeds up, an increasing number of factors are reported within the food intake, social and disease-related domains; these factors increase in severity in the accelerated ageing category. Knowledge of the specific factors and determinants associated with malnutrition according to older adults' ageing rate could contribute to the identification and prevention of malnutrition. As most studies included in this review were cross-sectional, longitudinal studies and meta-analyses comprehensively assessing potential contributory factors are required to establish the true determinants of malnutrition.
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Affiliation(s)
- Laura A Bardon
- School of Agriculture and Food Science, University College Dublin, Dublin, Republic of Ireland.
- Institute of Food and Health, University College Dublin, Dublin, Republic of Ireland.
| | - Clare A Corish
- Institute of Food and Health, University College Dublin, Dublin, Republic of Ireland
- School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Republic of Ireland
| | - Meabh Lane
- School of Agriculture and Food Science, University College Dublin, Dublin, Republic of Ireland
| | - Maria Gabriella Bizzaro
- School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Republic of Ireland
| | - Katherine Loayza Villarroel
- School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Republic of Ireland
| | - Michelle Clarke
- School of Agriculture and Food Science, University College Dublin, Dublin, Republic of Ireland
- Institute of Food and Health, University College Dublin, Dublin, Republic of Ireland
| | - Lauren C Power
- Institute of Food and Health, University College Dublin, Dublin, Republic of Ireland
- School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Republic of Ireland
| | - Eileen R Gibney
- School of Agriculture and Food Science, University College Dublin, Dublin, Republic of Ireland
- Institute of Food and Health, University College Dublin, Dublin, Republic of Ireland
| | - Patricia Dominguez Castro
- Institute of Food and Health, University College Dublin, Dublin, Republic of Ireland
- School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Republic of Ireland
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Vural Keskinler M, Feyİzoglu G, Yildiz K, Oguz A. The Frequency of Malnutrition in Patients with Type 2 Diabetes. Medeni Med J 2021; 36:117-122. [PMID: 34239763 PMCID: PMC8226406 DOI: 10.5222/mmj.2021.44270] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Accepted: 05/04/2021] [Indexed: 01/13/2023] Open
Abstract
Objective Obesity is one of the most common comorbidities of diabetes mellitus (DM) whose frequency is rapidly increasing nowadays. Although obesity caused by excessive and unbalanced nutrition often accompanies diabetes; malnutrition is another complication of diabetes. This study was conducted to investigate the frequency of malnutrition in individuals with diabetes. Method This study is a cross-sectional study. The patients with type 2 diabetes followed up in the diabetes outpatient clinic of a university hospital between February and March 2018 were included in the study. Anthropometric measurements of the patients and “Nutritional Risk Screening-2002” (NRS-2002) scores were recorded. Results A total of 222 (F:132 59.4%) patients were included in the study. When two groups with higher NRS (≥3) and lower NRS (<3) scores less than 3 were compared, any significant difference was not detected between two groups in terms of age, waist circumference and HbA1c values. Only BMI was found to be lower in the group with malnutrition risk (p:0.030). When the patients were evaluated in terms of diabetes treatments and risk of malnutrition, any significant intergroup difference was not found (p:0.847). Conclusion It was found that there is a risk of malnutrition in one of every seven diabetics with a high body mass index who were being followed up in the diabetes outpatient clinic.
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Affiliation(s)
| | - Güneş Feyİzoglu
- Istanbul Medeniyet University, Department of Internal Medicine, Istanbul, Turkey
| | - Kubra Yildiz
- Istanbul Medeniyet University, Department of Nutrition and Dietetics Istanbul, Turkey
| | - Aytekin Oguz
- Istanbul Medeniyet University, Department of Internal Medicine, Istanbul, Turkey
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Guigoz Y, Vellas B. Nutritional Assessment in Older Adults : MNA® 25 years of a Screening Tool and a Reference Standard for Care and Research; What Next? J Nutr Health Aging 2021; 25:528-583. [PMID: 33786572 DOI: 10.1007/s12603-021-1601-y] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
A tool to assess nutritional status in older persons was really needed. It took 5 years to design the MNA® (Mini Nutrition Assessment) tool, complete the first validations studies both in Europe and in the U.S. and to publish it. After the full MNA®, the MNA® short form and the self-MNA® have been validated. As well as Chinese and other national MNA® forms. Now more than 2000 clinical research have used the MNA® all over the world from community care to hospital. At least 22 Expert groups included the MNA® in new clinical practice guidelines, national or international registries. The MNA® is presently included in almost all geriatric and nutrition textbook and part of the teaching program for medicine and other health care professional worldwide. The urgent need is to target the frail older adults more likely to have weight loss and poor appetite and to prevent frailty and weight loss in the robust. We present in this paper the review of 25 years of clinical research and practice using the MNA® worldwide.
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Affiliation(s)
- Y Guigoz
- Yves Guigoz, Chemin du Raidillon, CH-1066 Epalinges, Switzerland.
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