Relevant bibliographies by topics / Nutrition; Diabetes

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Nutrition; Diabetes'

Author: Grafiati
Published: 4 June 2021
Last updated: 13 February 2022

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Journal articles on the topic "Nutrition; Diabetes"

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Bassett, Caroline. "Diabetes and nutrition." Nursing Standard 18, no. 26 (March 10, 2004): 28. http://dx.doi.org/10.7748/ns.18.26.28.s38.

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Bloomgarden, Z. T. "Diabetes and Nutrition." Diabetes Care 25, no. 10 (October 1, 2002): 1869–75. http://dx.doi.org/10.2337/diacare.25.10.1869.

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Emerson, Kendall. "Nutrition in Diabetes." Nutrition Reviews 6, no. 9 (April 27, 2009): 257–59. http://dx.doi.org/10.1111/j.1753-4887.1948.tb02075.x.

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Hill, Alyson. "Nutrition and diabetes." Primary Health Care 13, no. 6 (July 2003): 43–49. http://dx.doi.org/10.7748/phc2003.07.13.6.43.c444.

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Franz, Marion J. "Diabetes and nutrition." TOPICS IN CLINICAL NUTRITION 3, no. 1 (January 1988): 1–16. http://dx.doi.org/10.1097/00008486-198801000-00003.

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Wolever, Thomas M. S. "Nutrition and Diabetes." Canadian Journal of Diabetes 40, no. 4 (August 2016): 277. http://dx.doi.org/10.1016/j.jcjd.2016.05.019.

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Hamdy, Osama, and Mohd-Yusof Barakatun-Nisak. "Nutrition in Diabetes." Endocrinology and Metabolism Clinics of North America 45, no. 4 (December 2016): 799–817. http://dx.doi.org/10.1016/j.ecl.2016.06.010.

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Abraira, C. "Nutrition and diabetes." Gastroenterology 92, no. 1 (January 1987): 268. http://dx.doi.org/10.1016/0016-5085(87)90887-0.

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Jackson, M. Yvonne, and Brenda A. Broussard. "Cultural Challenges in Nutrition Education Among American Indians." Diabetes Educator 13, no. 1 (January 1987): 47–50. http://dx.doi.org/10.1177/014572178701300110.

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Nutritional management is the cornerstone of any treatment program for diabetes. This paper presents a descriptive overview of the cultural factors influenc ing nutrition behavior and its relevance for nutrition education and diabetes management among American Indians. Techniques to improve diabetes educator effec tiveness to bridge cultural gaps are described.
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Magnus, Marcia. "An Evaluation of the Therapeutic Nutrition Knowledge of Belizean Nurses." New Medical Innovations and Research 2, no. 1 (February 22, 2021): 01–07. http://dx.doi.org/10.31579/jnmir.2021/004.

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In Belize, patients rely on nurses for nutritional guidance on non-communicable diseases in the Caribbean. The objectives of this study were to quantify the therapeutic nutritional knowledge of 198 Belizean nurses using the Al-Shwaiyat questionnaire. The mean correct response rate for the therapeutic nutritional knowledge was suboptimal (53.30%±17.20). Nurses in the West region of the country had the highest mean knowledge scores on nutrition and diabetes 75.41±20.10, p=0.003; on nutrition and cardiovascular diseases 57.23±10.90, p=0.000; and in overall knowledge 62.34±9.76 p=0.000. Nurses without a diagnosis of diabetes had higher mean knowledge scores on a) nutrition and diabetes 63.86±26.07, p=0.001; b) nutrition and obesity questions 49.55±20.80, p=0.004; c) nutrition and cardiovascular disease 53.30±15.70, p=0.007 and d), overall mean 55.24±16.67, p=0.000. There is a need to address the low levels of knowledge of Belizean nurses.
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Dissertations / Theses on the topic "Nutrition; Diabetes"

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Radabaugh, Jessica Nan Clarke. "Cooking Matters® for Diabetes: Practical Application of Diabetes Self-Management Education." The Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1586902384417885.

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Pinto, Ezequiel. "Glycaemic control : the role of nutritional intake, postprandial glycaemia, nutrition therapy adherence, and diabetes complications." Thesis, Cranfield University, 2014. http://dspace.lib.cranfield.ac.uk/handle/1826/9252.

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This thesis analysed the associations between several clinical and psychometric variables that can determine glycaemic control: nutritional intake, barriers to nutrition therapy adherence, postprandial glycaemia, and diabetes complications perception. A group of 66 patients previously diagnosed with type 2 diabetes mellitus was recruited and categorized into patients with HbA1c below 7% (proper glycaemic control) and patients with HbA1c of 7% or above (poor glycaemic control). All subjects were interviewed and offered a nutritionally controlled breakfast. The glucose response to the experimental breakfast was monitored for 120 minutes after the meal, in order to record postprandial glycaemia levels The results show that subjects with adequate glycaemic control have a better compliance of nutrition recommendations, but all patients have excess intakes of energy, total cholesterol, saturated fatty acids, and sugars. There are no significant differences in postprandial glycaemia between patients with adequate glycaemic control and those with poor glycaemic control, which may imply that some subjects are unaware that they exceed the recommended rise in postprandial glucose, and thus may be at a higher than expected risk for macro and microvascular events. As self-monitoring is the only practical way to detect postprandial hyperglycaemia, efforts should be made to promote regular glucose self-monitoring. Patients with poor glycaemic control have a more biased opinion of their likelihood of personal disease risk. Additionally, exposures such as medical tests, air pollution, pesticides, or household chemicals, are considered as likely to cause health problems as several known and common diabetes complications, like high blood pressure or cardiovascular disease. Younger age, high body mass index, and biased personal disease risk perceptions are important predictors of glycaemic control and should be addressed by education interventions. Health professionals need to consider specific patient characteristics in order to provide proper continued medical care, and nutrition education should be tailored to the perceptions of patients and should positively discriminate subjects above or below the internationally proposed HbA1c cut-points for glycaemic control.
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Dow, Courtney. "Dietary Factors, Type 2 Diabetes and Diabetic Retinopathy." Thesis, Université Paris-Saclay (ComUE), 2018. http://www.theses.fr/2018SACLS380/document.

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Contexte : Le diabète de type 2 (DT2) constitue une pathologie majeure, au lourd fardeau, associ ée à de nombreuses complications, comme la rétinopathie diabétique (RD). Des facteurs modifiables, comme l’alimentation, ont déjà été identifiés pour le DT2 et la RD mais certains aspects de leurs rôles restent à préciser. Objectifs : Les objectifs de cette thèse étaient d’examiner le rôle de l’alimentation, en particulier la consommation d’acides gras (AGs), et des autres facteurs modifiables liés au mode de vie sur le risque de DT2 et de synthétiser, interpréter et analyser la relation entre l’alimentation et la RD. Résultats : Les résultats suggèrent que le rôle des AGs sur le risque de DT2 et de la RD pourrait être différent selon leur type, et même varier au sein d’un groupe comme les AG polyinsaturés (AGPI). Les résultats suggèrent aussi qu’une forte adhésion aux recommandations alimentaires n’est pas associée avec le développement d’un DT2, mais en revanche une forte adhérence aux autres recommandations de santé (concernant le tour de taille, l’activité physique et le statut tabagique) est fortement associée avec un moindre risque de DT2. On a montré qu’avoir un mode de vie sain aurait pu empêcher la survenue de plus de la moitié des cas de DT2. Conclusions : Cette thèse a permis de préciser l’importance et la complexité du rôle de l’alimentation dans le développement du DT2 et de la RD. Elle montre aussi l’impact des comportements sains dans la pathologie de DT2 et confirme que le DT2 est en grande partie, une maladie évitable. Les efforts devraient se focaliser sur la modification des comportements de santé à la fois dans la population générale et atteinte de DT2 et notamment encourager une alimentation modérée et variée
Background : Type 2 diabetes (T2D) presents a significant health burden that is associated with many complications, such as diabetic retinopathy (DR), that further burden people with diabetes. Modifiable risk factors, such as the diet, have been identified for both T2D and DR; yet certain aspects of the role of the diet remain unclear. Objectives : The main objectives of this thesis were therefore to examine the role and impact of the diet, and in particular, the consumption of fatty acids (FAs), and other modifiable behaviours on the risk of T2D and to summarize, interpret and analyze the relationship between the diet and DR using data from both the E3N and AusDiab cohort studies. Results : The results suggest that the role of FAs on the risk of T2D and DR may differ between and within subgroups, and by individual polyunsaturated fatty acids (PUFAs). The findings also suggest that strongly adhering to national dietary guidelines is not associated with the development of T2D, but strongly adhering to other recommendations for healthy behaviours (for waist circumference, physical activity and smoking) is strongly inversely associated with T2D. Modifiable behaviour could have prevented more than half of the cases of T2D. Conclusions : This work underlines the importance and the complexity of the role of the diet in the development of T2D and DR. It also illustrates the impact of healthy behaviour in the etiology of T2D and confirms that T2D is largely preventable. Efforts should focus on the modification of multiple healthy behaviours in populations, and promote diets that are moderate and widely varied
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Li, Sherly (Xueyi). "The interplay between genes and dietary factors in the aetiology of Type 2 Diabetes Mellitus." Thesis, University of Cambridge, 2018. https://www.repository.cam.ac.uk/handle/1810/275094.

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To help mitigate the escalating prevalence of Type 2 Diabetes (T2D) and alleviate society of its associated morbidity and economic burden on health care, it is crucial to understand its aetiology. Both genetic and the environmental risk factors are known to be involved. Healthy diets have been proven to reduce the risk of T2D in primary prevention trials, however, which components and exact mechanisms are involved is not fully understood, in particular, the role of macronutrient intake. Body weight, glycaemic markers and T2D are all to some extent genetically regulated. There may also be genetic influences on how people digest, absorb or metabolise macronutrients. This poses the possibility that the interplay between genes and our diet may help us unravel T2D’s aetiology. The aim of this PhD was to investigate gene-diet interactions on the risk of incident T2D, focusing primarily on macronutrient intake as the dietary factor. First, I systematically evaluated the current evidence before taking a step-wise approach (hypothesis driven to hypothesis-free) to interrogate gene-macronutrient interactions. This identified 13 publications, with 8 unique interactions reported between macronutrients (carbohydrate, fat, saturated fat, dietary fibre, and glycaemic load derived from self-report of dietary intake and circulating n-3 polyunsaturated fatty acids) and genetic variants in or near TCF7L2, GIPR, CAV2 and PEPD (p < 0.05) on T2D. All studies were observational with moderate to serious risk of bias and limitations that included lack of adequate adjustment for confounders, lack of reported replication and insufficient correction for multiple testing. Second, these reported interactions did not replicate in a large European multi-centre prospective T2D case-cohort study called EPIC-InterAct. We concluded that the heterogeneity between our results and those published could be explained by methodological differences in dietary measurement, population under study, study design and analysis but also by the possibility of spurious interactions. Third, given the paucity of gene-macronutrient interaction research using genetic risk scores (GRS), we examined the interaction between three GRS (for BMI (97 SNPs), insulin resistance (53 SNPs) and T2D (48 SNPs)) and macronutrient intake (quantity and quality indicators) in EPIC-InterAct. We did not identify any statistically significant interactions that passed multiple testing corrections (p≥0.20, with a p value threshold for rejecting the null hypothesis of 0.0015 (based on 0.05/33 tests)). We also examined 15 foods and beverages identified as being associated with T2D, and no significant interactions were detected. Lastly, we applied a hypothesis-free method to examine gene-macronutrient interactions and T2D risk by using a genome-environment-wide-interaction-study. Preliminary findings showed no significant interactions for total carbohydrate, protein, saturated fat, polyunsaturated fat and cereal fibre intake on T2D. In conclusion, the consistently null findings in this thesis using a range of statistical approaches to examine interactions between genetic variants and macronutrient intake on the risk of developing T2D have two key implications. One, based on the specific interactions examined, this research does not confirm evidence for gene-diet interactions in the aetiology of T2D and two, this research suggests that the association between macronutrient intake and the risk of developing T2D does not differ by genotype.
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Edwards, Kate G. "Depression in Diabetic and Non-Diabetic Individuals: Physical Activity, Nutrition, and Diet." Thesis, University of North Texas, 2010. https://digital.library.unt.edu/ark:/67531/metadc33146/.

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About 8.3% of individuals diagnosed with diabetes mellitus (DM) are diagnosed with comorbid depression, a higher rate than the general adult population. This project examined the differences of depression symptoms experienced between diabetic and matched non-diabetic individuals and the relationship of daily activity and nutrition behaviors with depression between these groups. The 2005-2006 National Health and Nutrition Examination Survey (NHANES) was utilized to assess: depression symptoms, diabetic glycemic control as measured by glycoginated hemoglobin (HbA1c), amount of physical activity, percentage of macronutrients, daily frequencies of foods consumed, and the use of nutritional food labels to make food choices. A sample of diabetic (n = 451) and non-diabetic individuals (n = 451) were matched to on age, gender, ethnicity, and education. The diabetic individuals experienced greater depression on both continuous and ordinal diagnostic variables. Counter to expectation, there was no relationship observed between depression and HbA1c in diabetic individuals, r = .04, p > .05.
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Katzenellenbogen, Leanne. "Assessment of the perceived impact of diabetes on quality of life in a group of South African diabetic patients." Thesis, Stellenbosch : Stellenbosch University, 2008. http://hdl.handle.net/10019.1/2868.

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Thesis (MNutr (Interdisciplinary Health Sciences. Human Nutrition))--Stellenbosch University, 2008.
OBJECTIVES: To determine perceived Quality of Life (QOL) of the diabetic patient and to assess whether QOL is associated with diabetes-related markers. DESIGN: This was a descriptive cross sectional study. SETTING: A multiethnic group of type 1 and 2 diabetic patients (n= 68) attending a diabetic clinic in Alberton, South Africa, were evaluated. SUBJECTS OUTCOME MEASURES: QOL was assessed by means of the Audit of Diabetes-Dependant Quality of Life (ADDQoL) questionnaire. Glycaemic control, duration of Diabetes Mellitus (DM), type of DM, diabetic complications, level of education and nutritional status were evaluated. RESULTS: Ninety eight percent of diabetic patients perceived their DM to impact negatively on their QOL (p=0.03). QOL and glycaemic control were significantly (p=0.03) related. QOL and the duration (p=0.80) or type (p=0.77) of DM were not significantly related. QOL ratings were lower in participants who had hypertension and hyperlipidaemia, whereas this trend was not present in those with microvascular complications. There was a trend towards a negative relationship between QOL and weight (p=0.10), BMI (p=0.10) and WC (p=0.41). All 13 individual life domains were significantly related (p < 0.05) to QOL for the group as a whole. Rankings of individual life domains differed between type 1 and type 2 diabetics (p<0.05) as well as between black and white subjects (p<0.05). CONCLUSIONS: These results show that DM impacts on various aspects of QOL and that various population sub-groups perceive their DM to impact differently on their QOL. QOL assessments should therefore form part of DM management and should be culturally sensitive.
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Sun, Yixing. "The Association of Food Security Status with Diabetes in American Adolescents." The Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1306864632.

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Rowsell, Paul. "Oral tolerance and immune mechanisms in food-induced diabetes." Thesis, University of Ottawa (Canada), 1996. http://hdl.handle.net/10393/9599.

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Diet controls $\sim$80% of type-I (insulin-dependent) diabetes in the diabetes-prone BioBreeding (BBdp) rat. This study was designed to define the relationship among diet, the gut immune system and the pancreas. BB rats were fed either a diabetogenic NIH-07 (NIH) diet or the diabetes protective, hydrolysed casein (HC) diet. Bovine serum albumin (BSA), ovalbumin (OVA), sheep red blood cells (SRBC) and NIH were given by gavage daily for 5 days. Both BBdp and the diabetes resistant BBc rat when fed NIH became unresponsive in antibody production to NIH antigens. None of the other oral antigen treatments induced tolerance. In delayed-type hypersensitivity (DTH) reactions, footpad injection of NIH resulted in lower DTH reactions and less increase in popliteal lymph node weight when animals were fed NIH than HC. We conclude that oral tolerance, both cell-mediated and humoral, to diabetogenic antigens is inducible in both strains of BB rats. This required daily feeding unlike in other rat strains. The depressed DTH reaction in the animals fed NIH indicates no link between the systemic Th1 DTH reaction to NIH and the Th1 food-induced diabetogenesis. Neonatal intrathymic injection of autoclaved NIH did not affect diabetes incidence, suggesting systemic exposure to these food antigens was not protective. Feeding neonatal BBdp rats a diabetogenic diet between 4 and 7d of age significantly delayed diabetes and reduced incidence. This effect was seen with the NIH diet and its diabetogenic component, wheat gluten. We conclude that early exposure to food diabetogens is protective against food-induced diabetes, indicating a crucial link between the local gut immune system and autoimmunity against pancreatic $\beta$ cells.
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Reese, Sandra J. "Increasing diabetes awareness in adolescents through educational programs." [Johnson City, Tenn. : East Tennessee State University], 2003. http://etd-submit.etsu.edu/etd/theses/available/etd-0328103-161433/unrestricted/ResseS042103b.pdf.

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Thesis (M.S.)--East Tennessee State University, 2003.
Title from electronic submission form. ETSU ETD database URN: etd-0328103-161433. Includes bibliographical references. Also available via Internet at the UMI web site.
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Elhisadi, Tawfeg A. A. "Nutrition, lifestyle and diabetes-risk of school children in Derna, Libya." Giessen VVB Laufersweiler, 2009. http://geb.uni-giessen.de/geb/volltexte/2010/7363/index.html.

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Books on the topic "Nutrition; Diabetes"

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Green, Pastors Joyce, ed. Diabetes medical nutrition therapy: A professional guide to management and nutrition education resources. Chicago, IL: American Diabetes Association, 1997.

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Antia, F. P. Clinical dietetics and nutrition. 3rd ed. Bombay: Oxford University Press, 1989.

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Professor, Abraham Philip, ed. Clinical dietetics and nutrition. 4th ed. Delhi: Oxford University Press, 1997.

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Goff, Louise, and Pamela Dyson, eds. Advanced Nutrition and Dietetics in Diabetes. Chichester, UK: John Wiley & Sons, Ltd, 2016. http://dx.doi.org/10.1002/9781119121725.

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Rajendram, Rajkumar, Victor R. Preedy, and Vinood B. Patel, eds. Nutrition and Diet in Maternal Diabetes. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-56440-1.

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Association, American Diabetes, ed. American Diabetes Association guide to medical nutrition therapy for diabetes. 2nd ed. Alexandria, Va: American Diabetes Association, 2012.

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Claydon, Anne. The diabetes guide. Edited by Markham Diana, Toms Graham, and Daykin Adam. London: Virgin, 2009.

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Jian kang yan jiu zhong xin, ed. Ru he yu tang niao bing he ping gong chu. Xinbei Shi: Xin chao she wen hua shi ye you xian gong si, 2011.

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1-2-3 diabetes diet. Alexandria, Va: American Diabetes Association, 2006.

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Bazel, Geil Patti, ed. Individualized approaches to diabetes nutrition therapy: Case studies. Alexandria, VA: American Diabetes Association, 2002.

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Book chapters on the topic "Nutrition; Diabetes"

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Holzmeister, Lea Ann. "Nutrition." In Pediatric Diabetes, 307–17. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-0507-5_14.

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Codario, Ronald A. "Nutrition." In Type 2 Diabetes, Pre-Diabetes, and the Metabolic Syndrome, 47–65. Totowa, NJ: Humana Press, 2010. http://dx.doi.org/10.1007/978-1-60327-441-8_4.

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Lamster, Ira B., Maura Bruno, and Riva Touger-Decker. "Diabetes." In Nutrition and Oral Medicine, 197–219. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-60761-490-6_11.

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Jaacks, Lindsay M., Judith Wylie-Rosett, and Elizabeth J. Mayer-Davis. "Diabetes." In Present Knowledge in Nutrition, 806–32. Oxford, UK: Wiley-Blackwell, 2012. http://dx.doi.org/10.1002/9781119946045.ch49.

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Piper, Brenda. "Diabetes mellitus." In Diet and Nutrition, 281–86. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4899-7244-6_17.

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Dunning, Trisha. "Nutrition management." In Diabetes in Old Age, 240–66. Chichester, UK: John Wiley & Sons, Ltd, 2017. http://dx.doi.org/10.1002/9781118954621.ch18.

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Rizzotto, Jo-Anne M., Judy Giusti, and Laurie Higgins. "Nutrition and Pregnancy." In Diabetes in Women, 255–72. Totowa, NJ: Humana Press, 2009. http://dx.doi.org/10.1007/978-1-60327-250-6_14.

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Touger-Decker, Riva, David A. Sirois, and Anthony T. Vernillo. "Diabetes Mellitus." In Nutrition and Oral Medicine, 185–204. Totowa, NJ: Humana Press, 2005. http://dx.doi.org/10.1385/1-59259-831-5:185.

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Woo, Paula, and Kendra B. Baldwin. "Type 1 Diabetes Mellitus." In Adolescent Nutrition, 663–91. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-45103-5_22.

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Kim, Grace, Tran Hang, and Allison LaRoche. "Type II Diabetes Mellitus." In Adolescent Nutrition, 693–720. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-45103-5_23.

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Conference papers on the topic "Nutrition; Diabetes"

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Hutter, C., E. Fröhlich-Reiterer, and S. Judmaier. "DIE KOHLENHYDRATZUFUHR VON KINDERN UND JUGENDLICHEN MIT TYP I DIABETES MELLITUS UND ZÖLIAKIE IM VERGLEICH ZU KINDERN UND JUGENDLICHEN MIT TYP I DIABETES MELLITUS IN DEN KINDERKLINIKEN DER STEIERMARK – EINE MULTIZENTRISCHE PILOTSTUDIE." In Nutrition 2017 – Ernährung: eine multiprofessionelle Herausforderung. Georg Thieme Verlag KG, 2017. http://dx.doi.org/10.1055/s-0037-1603287.

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Krishnan, Dharini, Xujuan Zhou, Subrata Chakraborty, Rashmi Gururajan, and Raj Gururajan. "Software development for managing nutrition intake for Type II diabetes mellitus." In 2016 10th International Conference on Software, Knowledge, Information Management & Applications (SKIMA). IEEE, 2016. http://dx.doi.org/10.1109/skima.2016.7916222.

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Schlicht, K., C. Knappe, C. Geisler, K. Türk, D. Schulte, K. Hartmann, S. Waschina, S. Brodesser, S. Schreiber, and M. Laudes. "Effects of Bile acid levels on gut microbial community metabolic processes, microbiome diversity and human metabolism and nutrition status." In Diabetes Kongress 2021 – 55. Jahrestagung der DDG. Georg Thieme Verlag KG, 2021. http://dx.doi.org/10.1055/s-0041-1727449.

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Azizah, Nur, Serlie K. A. Littik, and Sabina Gero. "The Effects Of Laboratory, Pharmacy, and Nutrition Services on Satisfaction of Diabetes Mellitus Patients." In The 6th International Conference on Public Health 2019. Masters Program in Public Health, Graduate School, Universitas Sebelas Maret, 2019. http://dx.doi.org/10.26911/the6thicph.04.26.

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Paskaleva, Ruska, Galina Mratzkova, and Magdalena Platikanova. "Increased motor activity and proper nutrition for prevention of complications in the elderly with diabetes." In PROCEEDINGS OF THE INTERNATIONAL CONFERENCE OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING 2019 (ICCMSE-2019). AIP Publishing, 2019. http://dx.doi.org/10.1063/1.5138108.

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Tursilowati, Susi, Lulu Nisa Nur’ Aprillia, and Astidio Noviardhi. "Effect of Diabetes Gymnastics and Nutrition Counseling on Lowered Blood Glucose Levels in Patients With Diabetes Mellitus Type II in Jatilawang Puskesmas in Banyumas Regency." In The 2nd International Symposium of Public Health. SCITEPRESS - Science and Technology Publications, 2017. http://dx.doi.org/10.5220/0007516604950501.

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Liu, Isabella, Le Ye Lee, and Jia Ming Low. "352 Outcomes of diet control in gestational diabetes during pregnancy with counselling and food nutrition mobile application." In RCPCH Conference Singapore. BMJ Publishing Group Ltd, 2021. http://dx.doi.org/10.1136/bmjpo-2021-rcpch.191.

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Bawadi, Hiba, and Zumin Shi. "Protein Intake among Patients with Diabetes is Linked to Poor Glycemic Control." In Qatar University Annual Research Forum & Exhibition. Qatar University Press, 2020. http://dx.doi.org/10.29117/quarfe.2020.0149.

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Background: Nutrition therapy is considered a key component of diabetes management. Highprotein diets are recently gaining more popularity. Knowledge regarding the potential glycemic effect of protein in people with type 2 diabetes has been a particular interest. Methods: This study is a cross-sectional study based on NHANES data collected on participants aged 40 years and older who attended the surveys cohorts of 2011–2012 and 2013–2014. Data on 1058 participants were included in the analysis. Glycemic control was measured as HbA1c level and patients were categorized into quartiles of daily protein intake. Analysis adjusted for age, gender, race and energy intake muscle strength (quartile), sedentary activity, income to poverty ratio, education, smoking, alcohol drinking and BMI. Logistic regression models were produced to investigate the impact of high protein intakes on odds of poor glycemic control (HbA1c ≥ 7). Results: After controlling for muscle strength (quartile), sedentary activity, income to poverty ratio, education, smoking, alcohol drinking and BMI; patients in Quartile 4 for protein intake had 260% increased risk for poor glycemic control as compared to those in quartile 1. These results are limited because the analysis did not consider the source of protein (animal vs plant). Further studies are needed.
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Geman, Oana, Roxana Toderean, Maria Magdalena Lungu, Iuliana Chiuchisan, and Mihai Covasa. "Challenges in nutrition education using smart sensors and personalized tools for prevention and control of type 2 diabetes." In 2017 IEEE 23rd International Symposium for Design and Technology in Electronic Packaging (SIITME). IEEE, 2017. http://dx.doi.org/10.1109/siitme.2017.8259943.

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Tsilidis, Konstantinos K., Naomi Allen, Ruth Travis, Sabine Rohrmann, Ute Nöthlings, Larraitz Arriola, Marc Gunter, and Timothy Key. "Abstract 3620: Diabetes mellitus and risk of prostate cancer in the European Prospective Investigation into Cancer and Nutrition." In Proceedings: AACR 104th Annual Meeting 2013; Apr 6-10, 2013; Washington, DC. American Association for Cancer Research, 2013. http://dx.doi.org/10.1158/1538-7445.am2013-3620.

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