Diabetes is considered as a worldwide public health problem and its prevalence in the Philippines has been increasing throughout the past decade. Dietary intake is a leading factor that affects diabetes development. Thus, the aim of the study is to analyze the food and nutrient intakes of Filipino adults with type 2 diabetes and to determine the underlying relationship between diabetes and dietary intake. The participants were 1,087 Filipinos with diabetes, ages 18 years and over from the 2013 National Nutrition Survey. In this study, two non-consecutive 24-hour dietary recalls were administered through face-to-face interviews by registered nutritionist-dietitians. The amount of consumed foods and beverages were estimated through standard household measures or food weighing. The energy and nutrient content of foods were assessed by utilizing the FNRI-Individual Dietary Evaluation System (IDES). Mean and usual energy and nutrient intake distributions were assessed using software established by Iowa State University (PC-SIDE version 1.02) and the evaluation of each macronutrient’s percentage contribution to total energy intake was done using the Acceptable Macronutrient Distribution Ranges (AMDR). Results of the study showed that Filipinos with diabetes have inadequate protein intake (53%) as well as micronutrient intake, including vitamin C (96%), thiamin (78%), riboflavin (85%), folate (87%), calcium (96%) and vitamin A (66%). Major sources of energy were mainly from carbohydrates (70.1%) consisting of rice, sugar-sweetened beverages, bread and sugar. A weak positive correlation was found between energy, macronutrient intake and fasting blood glucose. Findings of the study indicate that diabetes is affected by one’s dietary intake yet further research is required to define the role of micronutrients in diabetes management.
Diabetes is a metabolic syndrome that occurs when the pancreas no longer has the capability to make insulin, or when the body cannot utilize the insulin it manufactures effectively 1. Diabetes is indeed a worldwide public health problem and was the cause of over 4.2 million deaths 2. In 2019, the global diabetes prevalence approximately affected 463 million people (9.3%) which is expected to rise in 2030 by 578 million or 10.2% and 700 million or 10.9% by 2045 2. Diabetes has been rising rapidly in developing countries and has become prevalent among adults 18 years old and above from 4.7% in 1980 rising to 8.5% in 2014 3. The diabetes prevalence among Filipino adults ages 20 years old and over have an increasing trend from 3.4% in 2003 to 7.9% in 2018; reflecting a 2.2-percentage point increase for the past decade 4. The prevalence was higher among adults residing in urban areas (6.4%) compared with those residing in rural areas (4.6%) 5. The National Capital Region (6.5%) is among the regions with the highest prevalence and this was even above the national prevalence (5.6%) 5.
Diabetes leads to an increased mortality risk and is also related to multiple comorbidities like decreased general well-being and economic burden 6. Moreover, diabetes is specifically associated to an increased susceptibility to fatty liver disease, dementia, cancer, pancreatitis and depression 7. Uncontrolled diabetes would result to the occurrence of diabetic microvascular complications, known as diabetic nephropathy, retinopathy and neuropathy which are life-threatening since these are possible factors that presuppose a person to heart disease, premature death, and could also lead to autonomic neuropathy, blindness and renal failure 8, 9. Solutions for slowing the progression of diabetes are hence needed, especially considering the modifiable factors including dietary intake, physical activity and weight. Dietary intake is a leading factor which affects the rates of worldwide morbidity and mortality according to the 2013 Global Burden of Disease Study 10. Moreover, a previous study reported that diabetic patients who abide by dietary self-care recommendations are often found to have better glycemic control which leads to fewer comorbidities 11.
Although the importance of proper nutrition in diabetes management is clear by playing a part on metabolic control and weight, nutrition is also deemed as among the complex aspects in disease management. Many diabetic people also struggle to sustain a clinically recommended diet. Programs and policies which focus on diabetes also need to be strengthened to prevent the prevalence from increasing even further.
For this reason, further research is essential to clear up uncertain areas of knowledge about the diet of diabetics including the role of fruits, legumes, fish, plant oils, and the quality and quantity of foods consumed. Determining the dietary intake of diabetics would contribute to increasing knowledge regarding specific dietary factors that may influence glycemic response to foods including commonly consumed foods by the population that could affect the development of diabetes. Hence, this study aims to analyze the food and nutrient intakes of Filipino adults with type 2 diabetes and to determine the underlying associations between diabetes and dietary intake.
1.1. Study PopulationData from 1087 Filipinos with diabetes aged 18 years and above in the 2013 National Nutrition Survey (NNS) were used in the current analyses. The 2013 NNS is a cross-sectional, population-based survey which shows the current health and nutritional status of Filipinos. The survey employed a stratified three-stage sampling system drawn to embody all 17 regions and 80 provinces of the Philippines. A total of 8592 Filipino households were used as sample population which has 87.7% response rate.
1.2. Dietary Data CollectionTwo 24-hour dietary recalls were administered by registered nutritionist-dietitians by face-to-face interviews in each household by using structured questionnaires. The nutritionist (interviewer) recorded all consumed foods and beverages the day before from the time they woke up until they went to sleep in the night time. Household measures (cups, tablespoons and pieces of food item) or food weighing was utilized to estimate the amount of foods consumed. The foods that were weighed are converted to as purchased values using a portion to weight list for common foods compiled by the Food and Nutrition Research Institute (FNRI). If the food reported was a dish or composite food, the respondent was asked to describe the ingredients of the recipe or name the dish or recipe. The nutrient content of these composite foods were identified by calculating each ingredient broken down from the recipe based on INFOODS Guidelines. A first 24-hour food recall was collected in all household members of all sampled households and in order to estimate the day-to-day within-person variability in energy and nutrient intake, a second 24-hour food recall was carried among all members in half (50%) of randomly selected households. The repeated 24-hour food recalls were administered non-consecutively to avoid correlation in nutrient intakes on consecutive days.
The energy and nutrient content of foods consumed were assessed by means of the FNRI-Individual Dietary Evaluation System (IDES) which includes the expanded Food Composition Table (FCT) created from this study. The FCT was lengthened from the original 12 nutrients to a total of 27 nutrients, and it is the first time that these 27 nutrients were used for analysis in a nationally representative Filipino population. Further details regarding the development of the expanded FCT will be stated in another paper.
Improbable values of energy and nutrient intakes were identified through a process described below. Excessive micronutrient intakes were intakes that are 1.5 times higher than the 99th percentile of the observed intake distribution in the respective age group. Those intakes that are exceeding this upper limit were replaced by a random value produced from a uniform distribution in the interval with lower limit equivalent to the 95th percentile of the observed intake and also an upper limit equivalent to 1.5 times the 99th percentile 12.
Regarding the food sources of energy and nutrients, these were investigated by creating a list consisting of 87 food groups under 9 major categories (Table 1) which is in a similar layout to the food categories established by the United Nations Food and Agriculture Organization (FAO) 13 and United States Department of Agriculture (USDA) 14, while showing frequently consumed foods and their traditional way of food consumption. All foods, including those less consumed foods, were considered in the analysis.
1.4. Statistical ResultsMean and usual energy and nutrient intake distributions were assessed by utilizing the software program established by Iowa State University, PC-SIDE version 1.02. Within-person variation of nutrient intakes was also considered for across days. This software estimates usual nutrient intake distribution percentiles including the proportion lower than the estimated average requirements (EAR) defined by the Philippine Dietary Reference Intakes 2015. To estimate the prevalence of nutrient inadequacy in a group, the proportion of individuals with usual nutrient intakes lower compared to the Estimated Average Requirement (EAR) was considered 15.
The Acceptable Macronutrient Distribution Ranges (AMDR) was used to assess carbohydrates, total fat, and protein intakes as percentage of total energy intake. Proportions of inadequate and excessive intakes were categorized as less than AMDR lower range and greater than AMDR upper range, respectively. With regards to the prevalence of insufficient intake of iron, the probability approach was utilized 16. First, the risk of inadequate intake of each individual was calculated followed by the prevalence of inadequate iron intake, which pertains to the average risk of inadequacy is computed. Computations for summary statistics were conducted using STATA version 13 (StataCorp, College Station, Texas 2013).
1.5. Ethical ReviewThe Ethics Committee of FNRI approved the survey protocol and data collection instruments. All surveyed households provided informed consent prior to participation.
1.6. Conflict of InterestThe author declares no conflict of interest with the conduct of the study.
Table 2 shows the usual intake of energy and macronutrients of Filipinos with diabetes. The mean usual energy, total fat, protein, carbohydrates, total sugar and dietary fiber was 1669 kcal/day, 29.9 g, 56.6 g, 288.1 g, 26.4 g, and 8.7 g per day respectively.
Inadequate protein intake was found to be prevalent at 47%. As percentage of total energy, fat, protein and carbohydrates contributed to 13.8%, 15.3% and 70.1% of daily energy intake, respectively. Comparing against the AMDR recommendations, 53% of Filipinos with diabetes did not consume adequate protein. In terms of energy and macronutrient intake, Filipinos with diabetes (n=1087) consumed a mean dietary intake of energy (1669.4 kcal ± 15.7), carbohydrates (288.1g ± 3.2), total fat (29.9g ± 0.5), saturated fat (15.1g ± 0.4), monounsaturated fatty acids (10.7g ± 0.2), polyunsaturated fatty acids (5.1g ± 0.1), and protein (56.6g ± 0.6).
High prevalence of inadequacy was found for all vitamins and minerals: Vitamin C (96%), thiamine (78%), Riboflavin (85%), folate (87%), calcium (96%) and vitamin A (66%) while other vitamins such as vitamin B6, vitamin B12, zinc, and niacin have a low prevalence of inadequacy.
Table 3 shows that rice, fish & shellfish, fats & oils, other sweetened beverages (instant coffee), bread, condiments and sugar were the top foods mostly consumed by Filipinos with diabetes. The mean intake per capita of the following food groups are: rice (248.6 g), fish & shellfish (62.3 g), fats & oils (5.8 g), other sweetened beverages (12.9 g), breads (28.7 g), condiments (3.3 g) and sugar (3.9 g). Other sweetened beverages and sugar contributed 15-18.7% of total sugar, fresh fruit (11.7%), breads (8.3%), native desert and rice contributed 4.7% in total sugar intake. (Figure 1)
Rice contributed nearly 70% of carbohydrates, while the other top food sources of carbohydrates contributed only 6% below (bread, other sweetened beverages, and noodles). Same results in energy, rice has high contribution of energy, next is pork, bread and fish & shellfish. (Figure 2 & Figure 3)
In protein, rice was also the top source of protein, next came from fish & shellfish, pork and chicken. Only one percent below came from dark green leafy vegetables in addition to other vegetables. Pork and fats & oils were the top sources of total fat and only 7.3% came from fish & shellfish. (Figure 4 & Figure 5)
Bread, fish & shellfish, noodles, condiments and pork were the top 5 sources of sodium and only 3% below came from crackers, sweet breads, chicken, cakes, and eggs & egg dishes. (Figure 6)
Table 4 shows that there is a weak positive relationship between the energy, total fat, saturated fatty acids (SFA), monounsaturated fatty acids (MUFA), polyunsaturated fatty acids (PUFA), protein, total sugar, dietary fiber and the fasting blood glucose (FBG) of Filipinos with diabetes. This indicates that if the energy and macronutrient intake is increased, the fasting blood glucose would also increase and vice versa.
The study focused on the energy and nutrient intakes of Filipinos with diabetes ages 18 years old and above. Each component of the food intake was considered in the study specifically including energy, macronutrients, and micronutrients as each food consumed is composed of a larger pattern of many nutrients and existing dietary exposures from each food have a particular significance to the onset of diabetes 17. A considerable high prevalence of inadequate protein intake was found in which 53% of Filipinos with diabetes did not consume sufficient amounts of dietary protein and this could put these individuals at a higher susceptibility to protein loss (Table 2). The inadequacy could be a resultant factor of poor quality protein intake as manifested in the topmost source of protein consumed by these individuals is rice which is an incomplete protein or a protein with low biological value (BV). It has been shown that low protein diets have adverse effects aside from decreased lean body mass and increased hepatic lipidosis, it could also result to fatty liver, reduced energy digestibility, and decreased body weight if prolonged 18. In a previous study, it has been observed that people with type 2 diabetes have a higher rate of muscle protein loss than patients without diabetes 19. Muscle protein loss could in turn result to catabolism 20. This increases the likelihood of a diabetic person to have inadequate protein stores due to inadequate dietary intake coupled with increased protein needs due to protein catabolism. On the other hand, adequate protein intake improved one’s glycemic control, helping through satiety and maintenance of lean body mass, especially for older adults with increased protein requirements and susceptibility to functional disability 21, 22. Protein intake was also found to be important in maintaining functional capacity in diabetic older adults 23; acts as an insulin secretagogue which stimulates sustained insulin response and insulin secretion that could help reduce blood sugar response to ingested carbohydrate 24. In previous reviews, contradictory to the adverse effects of inadequate protein intake, previous studies stated that low protein intake retarded the progression of diabetic nephropathy 25, 26.
The high prevalence of insufficient micronutrient intakes for vitamin C (96%), calcium (96%), folate (87%), riboflavin (85%), thiamin (78%) and vitamin A (66%) among our subjects in this study (Table 2) is also alarming since these micronutrients are involved in glycemic control 27, antioxidant activity 28, and glucose metabolism 29. These results of the present study are consistent with previous literature stating that people with diabetes are susceptible to micronutrient deficiencies due to an increased need to control excessive oxidative stress created by irregularities in glucose metabolism 29, 30. Relative to the high prevalence of inadequate vitamin C intake (96%), sufficient intake is vital since vitamin C functions in the body as a potent antioxidant 31.
Diabetes is linked with oxidative stress which increases free radical formation, insulin resistance and lipid peroxidation that damages enzymes 32. This suggests the role of vitamin C in protecting important biomolecules from oxidation by participating in the oxidation-reduction reactions 33.
In terms of food sources, sugar-sweetened beverages (SSBs) are commonly consumed by Filipinos with diabetes (Table 3). The mean capita intake of SSBs was 12.9 g per day and had contributed to 18.7% total sugar intake. Sugar-sweetened beverages are composed of rapidly absorbable carbohydrates such as sucrose, fructose and high-fructose corn syrup which elevate blood glucose levels 34. A previous study stated that decreasing sugar-sweetened beverage intake could be used as a dietary strategy which would help diminish diabetes-related negative health outcomes and promote improved glycemic control 35. Contrastingly, vegetable food groups with the following mean per capita intake such as deep yellow vegetables (7.6 g/day), starchy vegetables (8.6 g/day), dark green leafy vegetables (17.4 g/day) and other vegetables (31.6 g/day) were among the least consumed food groups (Table 3). Green leafy vegetable and yellow vegetable intake were found to be associated with lowering the risk of diabetes because of its fiber content 36. Vegetables are likewise rich sources of flavonoids, antioxidant compounds (carotenoids, vitamin C and E), folate and potassium which helps protect against the adverse effects of diabetes 36.
Results of the study also showed pork as the top source of fat contributing 31.1% of the total fat intake (Figure 5). Red meat such as pork, especially processed meat contains components that have possible mechanistic links to insulin resistance such as saturated fatty acid (SFA), glycotoxins, trimethylamine N-oxide (TMAO), and nitrites 37. In a previous study, red meat consumption is found to be correlated with inflammation, which in turn heightens the risk for developing diabetes 38. Saturated fat specifically increases serum free fatty acids which may contribute in increasing insulin resistance both in liver and muscle, through interruption of hormone metabolic pathways in receptor and its substrate basis 39. While Advanced Glycation End Products (AGEs) which is produced after processing or cooking at high temperatures contributes to hyperglycemia 37 and nitrites contribute to inflammation and also oxidative stress 40.
Aside from vegetables, fresh fruits are also one of the least consumed food groups contributing a mean per capita intake of 29.3 g/day (Table 3). Since fresh fruits and vegetables are among the least consumed, this could be a factor leading to the inadequacy of vitamin C 41.
Inadequate thiamine intake which is likewise found in the study may be a factor related to the onset of diabetes as thiamine plays a role mainly in glucose metabolism 42. Aside from inadequate dietary intake of thiamine, excessive simple sugar intake such as from SSBs also influences renal thiamine losses which make thiamin deficiency even more possible in diabetic people 43. Meanwhile, the inadequate riboflavin intake found in this study could negatively affect one’s oxidant/antioxidant balance 44. As oxidative stress is majorly involved in the mechanism of diabetes, riboflavin plays a role as an antioxidant independently by conversion of reduced riboflavin to oxidized form or as a component of glutathione redox cycle 45, 46. Riboflavin also reduces hyperglycemia by the absorption of glucose from the intestine 45 and through carbohydrate metabolism 47.
Moreover, inadequate folate intake may put our subjects at a higher risk of endothelial dysfunction in type 2 diabetes since consumption of folate has a protective effect on vascular endothelial cells against high blood glucose-induced injury in diabetes 48. Moreover, folate deficiency has been reported to be linked with oxidative stress in patients with diabetes, in relation to a rise in homocysteine levels 29.
Adequate calcium intake is also essential for diabetic people since calcium is not only required for bone health but may also have a role in improving pancreatic insulin secretion as well as peripheral insulin sensitivity 49, 50. Moreover, calcium intake, insulin production and sensitivity have been found in previous studies to be associated with glucose homeostasis in diabetic adults 51, 52.
However, in our study our diabetic subjects had inadequate calcium intake which might lead to worsening health and nutritional status. Conversely, the inadequacy of vitamin A intake could be attributed to the poor consumption of vegetables and fruits especially the green-yellow and deep colored vegetables. In a previous study, Vitamin A is known to protect an individual against insulin resistance 53.
Evaluating further the association of energy intake, macronutrients and fasting blood sugar, our results show a weak positive correlation. This simply indicates that if the energy and macronutrient intake is increased, the fasting blood glucose would slightly increase and vice versa. Contradicting results have been published with regards to the association of fasting blood sugar and macronutrients. One study showed no relationship between the macronutrient protein and fasting blood glucose levels 54. Another study stated that increased energy intake leads to an increased glucose production in liver and glucagon levels which then results in increased blood glucose levels 55. Excessive fat intake also leads to increased fat stores in the liver and in peripheral muscles which contribute to insulin sensitivity and thus, increased blood glucose levels as well 55.
Overall, the present study showed that Filipinos with diabetes have inadequate protein intake as well as micronutrient intake, specifically vitamin A, vitamin C, riboflavin, thiamin, folate and calcium. The importance of proper food sources should also be given importance since it has been found that sugar-sweetened beverages and red meat are commonly consumed but vegetables and fruits are the least consumed food groups. The major source of energy was from carbohydrates consisting of rice, sugar-sweetened beverages, bread and sugar. These foods are mostly high in glycemic index and also glycemic load. Although there was a weak positive correlation between energy, macronutrient intake and fasting blood glucose levels there is an indication that consumption of these foods affects blood glucose level however, further research is necessary to describe the role of micronutrients in diabetes management considering their role in oxidative stress and also inflammation.
The author acknowledges the efforts of field researchers and the staff of the Nutritional Assessment Section for their field supervision and the Nutritional Statistics and Informatics Section for the virtual access of the data.
[1] | International Diabetes Federation, What is diabetes, 2020. [Online] Available: https://www.idf.org/aboutdiabetes/what-is- diabetes.html?gclid=EAIaIQobChMI1eXu2qDH6AIVE6yWCh1H bQLaEAAYASAAEgIGC_D_BwE [Accessed Mar. 25, 2020]. | ||
In article | |||
[2] | International Diabetes Federation, IDF Diabetes Atlas 2019 (9th ed.), 2019. [E-book] Available: https://www.diabetesatlas.org/en/resources/. | ||
In article | |||
[3] | World Health Organization, Diabetes, 30 Oct. 2018. (2018, October 30). [Online] Available: https://www.who.int/news- room/fact-sheets/detail/diabetes [Accessed Mar. 25, 2020]. | ||
In article | |||
[4] | Department of Science and Technology - Food and Nutrition Research Institute, Expanded National Nutrition Survey Health and Nutritional Status of Filipino Adults, 20-59 years old, 2018. [Online] Available: https://www.fnri.dost.gov.ph/images//sources/eNNS2018/Adults_ and_Elderly.pdf [Accessed Mar. 25, 2020]. | ||
In article | |||
[5] | Department of Science and Technology - Food and Nutrition Research Institute, 8th National Nutrition Survey Facts and Figures Clinical and Health Survey, Jul. 2015. [E-book] Available: https://enutrition.fnri.dost.gov.ph/site/preview.php?xx= uploads/2013_FaF_Clinical_and_Health_Survey.pdf | ||
In article | |||
[6] | Breen, C., Ryan, M., Gibney, M. J. and O’Shea, D., “Diabetes-related nutrition knowledge and dietary intake among adults with type 2 diabetes,” British Journal of Nutrition, 114(3), 2015. | ||
In article | View Article PubMed | ||
[7] | American Diabetes Association, “Comprehensive Medical Evaluation and Assessment of Comorbidities: Standards of Medical Care in Diabetes-2018,” Diabetes Care, 41(Supplement 1), S28-S37, 2018. | ||
In article | View Article PubMed | ||
[8] | Yokoyama, H., Araki, S., Kawai, K., Yamazaki, K., Tomonaga, O., Shirabe, S. and Maegawa, H., “Declining trends of diabetic nephropathy, retinopathy and neuropathy with improving diabetes care indicators in Japanese patients with type 2 and type 1 diabetes (JDDM 46),” BMJ Open Diabetes Research & Care, 6(1), e000521, 2018. | ||
In article | View Article PubMed | ||
[9] | Pamungkas, R., Chamroonsawasdi, K. and Vatanasomboon, P., “A Systematic Review: Family Support Integrated with Diabetes Self-Management among Uncontrolled Type II Diabetes Mellitus Patients,” Behavioral Sciences, 7(4), 62, 2017. | ||
In article | View Article PubMed | ||
[10] | Feigin, V. L., Roth, G. A., Naghavi, M., Parmar, P., Krishnamurthi, R., Chugh, S., … Forouzanfar, M. H., “Global burden of stroke and risk factors in 188 countries, during 1990-2013: a systematic analysis for the Global Burden of Disease Study 2013,” The Lancet Neurology, 15(9), 913-924, 2016. | ||
In article | View Article | ||
[11] | Thewjitcharoen, Y., Chotwanvirat, P., Jantawan, A., Siwasaranond, N., Saetung, S., Nimitphong, H., … Reutrakul, S., “Evaluation of Dietary Intakes and Nutritional Knowledge in Thai Patients with Type 2 Diabetes Mellitus,” Journal of Diabetes Research, 2018. | ||
In article | View Article PubMed | ||
[12] | Lopez-Olmedo, N., Carriquiry, L., Rodriguez-Ramirez, S…et al., ”Usual intake of added sugars and saturated fats is high while dietary fiber is low in the Mexican population,” Journal of Nutrition, 24(3), 395-406, 2018. | ||
In article | |||
[13] | Food and Agriculture Organization of the United Nations. FAO/INFOODS Analytical Food Composition Database Version 1.1 - AnFooD1.1.2016 | ||
In article | |||
[14] | United States Department of Agriculture, What We Eat in America Food Categories. [Online] Available: https://www.ars.usda.gov/ARSUserFiles/80400530/pdf/1516/food _category_list.pdf [Accessed May 16, 2019] | ||
In article | |||
[15] | Carriquiry, A.L., "Assessing the Prevalence of Nutrient Inadequacy", Public Health Nutrition, 2(1), 23-33, 1999. | ||
In article | View Article PubMed | ||
[16] | National Research Council, Subcommittee on Criteria for Dietary Evaluation, Nutrient Adequacy: Assessment Using Food Consumption Surveys, 1986. Washington: National Academy Press. [E-book] Available: https://www.nap.edu/catalog/618/nutrient-adequacy-assessment-using-food-consumption-surveys | ||
In article | |||
[17] | Sami, W., Ansari, T., Butt, N. S. and Hamid, M., “Effect of diet on type 2 diabetes mellitus: A review,” International Journal of Health Sciences, 11(2), 65-71, 2017. | ||
In article | |||
[18] | Pezeshki, A., Zapata, R. C., Singh, A., Yee, N. J. and Chelikani, P. K., “Low protein diets produce divergent effects on energy balance,” Scientific Reports, 6(1), 2016. | ||
In article | View Article PubMed | ||
[19] | Deger, S. M., Hung, A. M., Gamboa, J. L., Siew, E. D., Ellis, C. D., Booker, C., Sha, F., Li, H., Bian, A., Stewart, T. G., Zent, R., Mitch, W. E., Abumrad, N. N. and Ikizler, T. A. “Systemic inflammation is associated with exaggerated skeletal muscle protein catabolism in maintenance hemodialysis patients,” JCI insight, 2(22), e95185, 2017. | ||
In article | View Article PubMed | ||
[20] | Dittmar, M., Reber, H., & Kahaly, G. J., “Bioimpedance phase angle indicates catabolism in Type 2 diabetes,” Diabetic Medicine, 32(9), 1177-1185, 2015. | ||
In article | View Article PubMed | ||
[21] | Drummen, M., Tischmann, L., Gatta-Cherifi, B., Adam, T., & Westerterp-Plantenga, M., “Dietary Protein and Energy Balance in Relation to Obesity and Co-morbidities,” Frontiers in Endocrinology, 9, 2018. | ||
In article | View Article PubMed | ||
[22] | Yanase, T., Yanagita, I., Muta, K., & Nawata, H., “Frailty in elderly diabetes patients,” Endocrine Journal, 65(1), 1-11, 2017 | ||
In article | View Article PubMed | ||
[23] | Rahi, B., Morais, J. A., Gaudreau, P., Payette, H., & Shatenstein, B., “Energy and protein intakes and their association with a decline in functional capacity among diabetic older adults from the NuAge cohort," European Journal of Nutrition, 55(4), 1729-1739, 2015. | ||
In article | View Article PubMed | ||
[24] | Ang, T., Bruce, C. R. and Kowalski, G.M., “Postprandial Aminogenic Insulin and Glucagon Secretion Can Stimulate Glucose Flux in Humans,” Diabetes, 68(5), 939-946, 2019. | ||
In article | View Article PubMed | ||
[25] | Kitada, M., Ogura, Y., Suzuki, T., Monno, I., Kanasaki, K., Watanabe, A. and Koya, D., “A low-protein diet exerts a beneficial effect on diabetic status and prevents diabetic nephropathy in Wistar fatty rats, an animal model of type 2 diabetes and obesity,” Nutrition & Metabolism, 15(1), 1-11, 2018. | ||
In article | View Article PubMed | ||
[26] | Brownlee, M., Aiello, L. P., Cooper, M. E., Vinik, A. I., Plutzky, J. and Boulton, A.J.M., “Chapter 33 - Complications of Diabetes Mellitus,” William’s textbook of endocrinology (13th ed.), pp. 1484-1581, 2016. | ||
In article | |||
[27] | Kamrul Hasan, A.B.M., Islam, A., Islam, M. and Selim, S., “Vitamins and type 2 diabetes mellitus,” Journal of Clinical Diabetology, 4(1), 3-9, 2017. | ||
In article | |||
[28] | Balbi, M. E., Tonin, F. S., Mendes, A. M., Borba, H. H., Wiens, A., Fernandez-Llimos, F. and Pontarolo, R., “Antioxidant effects of vitamins in type 2 diabetes: a meta-analysis of randomized controlled trials,” Diabetology & Metabolic Syndrome, 10(1), 1-12, 2018. | ||
In article | View Article PubMed | ||
[29] | Valdés-Ramos, R., Guadarrama-López, A. L., Martínez-Carrillo, B. E. and Benítez-Arciniega, A. D., “Vitamins and type 2 diabetes mellitus,” Endocrine, metabolic & immune disorders drug targets, 15(1), 54-63, 2015. | ||
In article | View Article PubMed | ||
[30] | Kuroda, M. and Sakaue, H., “Role of vitamin D and calcium in obesity and type 2 diabetes,” Clinical Calcium, 26(3): 349-354, 2016. | ||
In article | |||
[31] | Zhou, C., Na, L., Shan, R., Cheng, Y., Li, Y., Wu, X. and Sun, C., “Dietary Vitamin C Intake Reduces the Risk of Type 2 Diabetes in Chinese Adults: HOMA-IR and T-AOC as Potential Mediators,” PloS one, 11(9), e0163571, 2016. | ||
In article | View Article PubMed | ||
[32] | Ullah, A, Khan, A, and Khan, I., “Diabetes mellitus and oxidative stress—A concise review,” Saudi Pharmaceutical Journal, 24(5), 547-553, 2016. | ||
In article | View Article PubMed | ||
[33] | Ellulu, M. S., Rahmat, A., Patimah, I., Khaza'ai, H. and Abed, Y. “Effect of vitamin C on inflammation and metabolic markers in hypertensive and/or diabetic obese adults: a randomized controlled trial,” Drug design, development and therapy, 9, 3405-3412, 2015. | ||
In article | View Article PubMed | ||
[34] | Teshima, N., Shimo, M., Miyazawa, K., Konegawa, S., Matsumoto, A., Onishi, Y., … Sumida, Y., “Effects of Sugar-Sweetened Beverage Intake on the Development of Type 2 Diabetes Mellitus in Subjects with Impaired Glucose Tolerance: the Mihama Diabetes Prevention Study,” Journal of Nutritional Science and Vitaminology, 61(1), 14-19, 2015. | ||
In article | View Article PubMed | ||
[35] | Anari, R., Amani, R. and Veissi, M., "Sugar-sweetened beverages consumption is associated with abdominal obesity risk in diabetic patients,” Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 11, S675-S678, 2017. | ||
In article | View Article PubMed | ||
[36] | Wang, P.Y., Fang, J.C., Gao, Z.H., Zhang, C. and Xie, S.Y., Higher intake of fruits, vegetables or their fiber reduces the risk of type 2 diabetes: A meta-analysis. Journal of Diabetes Investigation, 7(1), 56-69, 2015. | ||
In article | View Article PubMed | ||
[37] | Kim, Y., Keogh, J., and Clifton, P., “A review of potential metabolic etiologies of the observed association between red meat consumption and development of type 2 diabetes mellitus,” Metabolism, 64(7), 768-779, 2015. | ||
In article | View Article PubMed | ||
[38] | Mazidi, M., Kengne, A. P., George, E. S. and Siervo, M., “The Association of Red Meat Intake with Inflammation and Circulating Intermediate Biomarkers of Type 2 Diabetes Is Mediated by Central Adiposity,” British Journal of Nutrition, 1-20, 2019. | ||
In article | View Article | ||
[39] | Kouvari, M., Notara, V., Kalogeropoulos, N. and Panagiotakos, D. B., “Diabetes mellitus associated with processed and unprocessed red meat: an overview. International Journal of Food Sciences and Nutrition,” 67(7), 735-743, 2016. | ||
In article | View Article PubMed | ||
[40] | Wang, X., Lin, X., Ouyang, Y.Y., Liu, J., Zhao, G., Pan, A. and Hu, F.B., “Red and processed meat consumption and mortality: dose-response meta-analysis of prospective cohort studies,” Public Health Nutrition. 6:1-13, 2015. | ||
In article | |||
[41] | Galani, J. H. Y., Patel, J. S., Patel, N. J. and Talati, J. G., “Storage of Fruits and Vegetables in Refrigerator Increases their Phenolic Acids but Decreases the Total Phenolics, Anthocyanins and Vitamin C with Subsequent Loss of their Antioxidant Capacity,” Antioxidants, 6(3), 59, 2017. | ||
In article | View Article PubMed | ||
[42] | Polegato, B. F., Pereira, A. G., Azevedo, P. S., Costa, N. A., Zornoff, L. A. M., Paiva, S. A. R. and Minicucci, M. F., “Role of Thiamin in Health and Disease,” Nutrition in Clinical Practice, 2019. | ||
In article | View Article PubMed | ||
[43] | Kerns, J. C., Arundel, C. and Chawla, L. S., “Thiamin Deficiency in People with Obesity,” Advances in Nutrition, 6(2), 147-153, 2015. | ||
In article | View Article PubMed | ||
[44] | Saedisomeolia, A. and Ashoori, M., “Riboflavin in Human Health: A Review of Current Evidences,” New Research and Developments of Water-Soluble Vitamins, 57-81, 2018. | ||
In article | View Article PubMed | ||
[45] | Thakur, K., Tomar, S. K., Singh, A. K., Mandal, S. and Arora, S., “Riboflavin and health: A review of recent human research,” Critical Reviews in Food Science and Nutrition, 57(17), 3650-3660, 2016. | ||
In article | View Article PubMed | ||
[46] | Ashoori, M. and Saedisomeolia, A., “Riboflavin (vitamin B2) and oxidative stress: a review,” British Journal of Nutrition, 20: 1-7, 2014. | ||
In article | View Article PubMed | ||
[47] | Alam, M. M., Iqbal, S. and Naseem, I., “Ameliorative effect of riboflavin on hyperglycemia, oxidative stress and DNA damage in type-2 diabetic mice: Mechanistic and therapeutic strategies,” Archives of Biochemistry and Biophysics, 584, 10-19, 2015. | ||
In article | View Article PubMed | ||
[48] | Wang, Z., Xing, W., Song, Y., Li, H., Liu, Y., Wang, Y., … Han, J., “Folic Acid Has a Protective Effect on Retinal Vascular Endothelial Cells against High Glucose,” Molecules, 23(9), 2326, 2018. | ||
In article | View Article PubMed | ||
[49] | Santulli, G., Pagano, G., Sardu, C., Xie, W., Reiken, S., D'Ascia, S.L., et al., “Calcium release channel RyR2 regulates insulin release and glucose homeostasis,” Journal of Clinical Investigation. 125:1968-78, 2015. | ||
In article | View Article PubMed | ||
[50] | Soares, J., Pereira Leal, A., Silva, J. C., Almeida, J. and de Oliveira, H. P., “Influence of Flavonoids on Mechanism of Modulation of Insulin Secretion,” Pharmacognosy magazine, 13(52), 639-646, 2017. | ||
In article | View Article PubMed | ||
[51] | Talaei, M., Pan, A., Yuan, J.M. and Koh, W.P., “Dairy intake and risk of type 2 diabetes,” Clinical Nutrition. 37, 712-718, 2018. | ||
In article | View Article PubMed | ||
[52] | Kim, K.N., Oh, S.Y. and Hong, Y.C., “Associations of serum calcium levels and dietary calcium intake with incident type 2 diabetes over 10 years: The Korean Genome and Epidemiology Study (KoGES),” Diabetology & Metabolic Syndrome. 10, 50, 2018. | ||
In article | View Article PubMed | ||
[53] | Sluijs, I., Cadier, E., Beulens, J.W., Van Der, A.D.L., Spijkerman, A.M., and Van Der Schouw, Y.T., “Dietary intake of carotenoids and risk of Type 2 diabetes,” Nutrition, Metabolism & Cardiovascular Diseases. 25(4), pp. 376-381, 2015. | ||
In article | View Article PubMed | ||
[54] | Suniyadewi, N.W. and Pinatih, G.I., “Correlation between intakes of carbohydrates, protein, and fat with random blood sugar levels in menopausal women,” Frontiers of Nursing, 6(1), 77-80, 2019. | ||
In article | View Article | ||
[55] | Cloete, L., Mitchell, B. and Morton, D., “The role of obesity in the onset of type 2 diabetes mellitus,” Nursing Standard, 31(22), 59-71, 2017. | ||
In article | View Article PubMed | ||
Published with license by Science and Education Publishing, Copyright © 2020 Imelda Angeles-Agdeppa
This work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/
[1] | International Diabetes Federation, What is diabetes, 2020. [Online] Available: https://www.idf.org/aboutdiabetes/what-is- diabetes.html?gclid=EAIaIQobChMI1eXu2qDH6AIVE6yWCh1H bQLaEAAYASAAEgIGC_D_BwE [Accessed Mar. 25, 2020]. | ||
In article | |||
[2] | International Diabetes Federation, IDF Diabetes Atlas 2019 (9th ed.), 2019. [E-book] Available: https://www.diabetesatlas.org/en/resources/. | ||
In article | |||
[3] | World Health Organization, Diabetes, 30 Oct. 2018. (2018, October 30). [Online] Available: https://www.who.int/news- room/fact-sheets/detail/diabetes [Accessed Mar. 25, 2020]. | ||
In article | |||
[4] | Department of Science and Technology - Food and Nutrition Research Institute, Expanded National Nutrition Survey Health and Nutritional Status of Filipino Adults, 20-59 years old, 2018. [Online] Available: https://www.fnri.dost.gov.ph/images//sources/eNNS2018/Adults_ and_Elderly.pdf [Accessed Mar. 25, 2020]. | ||
In article | |||
[5] | Department of Science and Technology - Food and Nutrition Research Institute, 8th National Nutrition Survey Facts and Figures Clinical and Health Survey, Jul. 2015. [E-book] Available: https://enutrition.fnri.dost.gov.ph/site/preview.php?xx= uploads/2013_FaF_Clinical_and_Health_Survey.pdf | ||
In article | |||
[6] | Breen, C., Ryan, M., Gibney, M. J. and O’Shea, D., “Diabetes-related nutrition knowledge and dietary intake among adults with type 2 diabetes,” British Journal of Nutrition, 114(3), 2015. | ||
In article | View Article PubMed | ||
[7] | American Diabetes Association, “Comprehensive Medical Evaluation and Assessment of Comorbidities: Standards of Medical Care in Diabetes-2018,” Diabetes Care, 41(Supplement 1), S28-S37, 2018. | ||
In article | View Article PubMed | ||
[8] | Yokoyama, H., Araki, S., Kawai, K., Yamazaki, K., Tomonaga, O., Shirabe, S. and Maegawa, H., “Declining trends of diabetic nephropathy, retinopathy and neuropathy with improving diabetes care indicators in Japanese patients with type 2 and type 1 diabetes (JDDM 46),” BMJ Open Diabetes Research & Care, 6(1), e000521, 2018. | ||
In article | View Article PubMed | ||
[9] | Pamungkas, R., Chamroonsawasdi, K. and Vatanasomboon, P., “A Systematic Review: Family Support Integrated with Diabetes Self-Management among Uncontrolled Type II Diabetes Mellitus Patients,” Behavioral Sciences, 7(4), 62, 2017. | ||
In article | View Article PubMed | ||
[10] | Feigin, V. L., Roth, G. A., Naghavi, M., Parmar, P., Krishnamurthi, R., Chugh, S., … Forouzanfar, M. H., “Global burden of stroke and risk factors in 188 countries, during 1990-2013: a systematic analysis for the Global Burden of Disease Study 2013,” The Lancet Neurology, 15(9), 913-924, 2016. | ||
In article | View Article | ||
[11] | Thewjitcharoen, Y., Chotwanvirat, P., Jantawan, A., Siwasaranond, N., Saetung, S., Nimitphong, H., … Reutrakul, S., “Evaluation of Dietary Intakes and Nutritional Knowledge in Thai Patients with Type 2 Diabetes Mellitus,” Journal of Diabetes Research, 2018. | ||
In article | View Article PubMed | ||
[12] | Lopez-Olmedo, N., Carriquiry, L., Rodriguez-Ramirez, S…et al., ”Usual intake of added sugars and saturated fats is high while dietary fiber is low in the Mexican population,” Journal of Nutrition, 24(3), 395-406, 2018. | ||
In article | |||
[13] | Food and Agriculture Organization of the United Nations. FAO/INFOODS Analytical Food Composition Database Version 1.1 - AnFooD1.1.2016 | ||
In article | |||
[14] | United States Department of Agriculture, What We Eat in America Food Categories. [Online] Available: https://www.ars.usda.gov/ARSUserFiles/80400530/pdf/1516/food _category_list.pdf [Accessed May 16, 2019] | ||
In article | |||
[15] | Carriquiry, A.L., "Assessing the Prevalence of Nutrient Inadequacy", Public Health Nutrition, 2(1), 23-33, 1999. | ||
In article | View Article PubMed | ||
[16] | National Research Council, Subcommittee on Criteria for Dietary Evaluation, Nutrient Adequacy: Assessment Using Food Consumption Surveys, 1986. Washington: National Academy Press. [E-book] Available: https://www.nap.edu/catalog/618/nutrient-adequacy-assessment-using-food-consumption-surveys | ||
In article | |||
[17] | Sami, W., Ansari, T., Butt, N. S. and Hamid, M., “Effect of diet on type 2 diabetes mellitus: A review,” International Journal of Health Sciences, 11(2), 65-71, 2017. | ||
In article | |||
[18] | Pezeshki, A., Zapata, R. C., Singh, A., Yee, N. J. and Chelikani, P. K., “Low protein diets produce divergent effects on energy balance,” Scientific Reports, 6(1), 2016. | ||
In article | View Article PubMed | ||
[19] | Deger, S. M., Hung, A. M., Gamboa, J. L., Siew, E. D., Ellis, C. D., Booker, C., Sha, F., Li, H., Bian, A., Stewart, T. G., Zent, R., Mitch, W. E., Abumrad, N. N. and Ikizler, T. A. “Systemic inflammation is associated with exaggerated skeletal muscle protein catabolism in maintenance hemodialysis patients,” JCI insight, 2(22), e95185, 2017. | ||
In article | View Article PubMed | ||
[20] | Dittmar, M., Reber, H., & Kahaly, G. J., “Bioimpedance phase angle indicates catabolism in Type 2 diabetes,” Diabetic Medicine, 32(9), 1177-1185, 2015. | ||
In article | View Article PubMed | ||
[21] | Drummen, M., Tischmann, L., Gatta-Cherifi, B., Adam, T., & Westerterp-Plantenga, M., “Dietary Protein and Energy Balance in Relation to Obesity and Co-morbidities,” Frontiers in Endocrinology, 9, 2018. | ||
In article | View Article PubMed | ||
[22] | Yanase, T., Yanagita, I., Muta, K., & Nawata, H., “Frailty in elderly diabetes patients,” Endocrine Journal, 65(1), 1-11, 2017 | ||
In article | View Article PubMed | ||
[23] | Rahi, B., Morais, J. A., Gaudreau, P., Payette, H., & Shatenstein, B., “Energy and protein intakes and their association with a decline in functional capacity among diabetic older adults from the NuAge cohort," European Journal of Nutrition, 55(4), 1729-1739, 2015. | ||
In article | View Article PubMed | ||
[24] | Ang, T., Bruce, C. R. and Kowalski, G.M., “Postprandial Aminogenic Insulin and Glucagon Secretion Can Stimulate Glucose Flux in Humans,” Diabetes, 68(5), 939-946, 2019. | ||
In article | View Article PubMed | ||
[25] | Kitada, M., Ogura, Y., Suzuki, T., Monno, I., Kanasaki, K., Watanabe, A. and Koya, D., “A low-protein diet exerts a beneficial effect on diabetic status and prevents diabetic nephropathy in Wistar fatty rats, an animal model of type 2 diabetes and obesity,” Nutrition & Metabolism, 15(1), 1-11, 2018. | ||
In article | View Article PubMed | ||
[26] | Brownlee, M., Aiello, L. P., Cooper, M. E., Vinik, A. I., Plutzky, J. and Boulton, A.J.M., “Chapter 33 - Complications of Diabetes Mellitus,” William’s textbook of endocrinology (13th ed.), pp. 1484-1581, 2016. | ||
In article | |||
[27] | Kamrul Hasan, A.B.M., Islam, A., Islam, M. and Selim, S., “Vitamins and type 2 diabetes mellitus,” Journal of Clinical Diabetology, 4(1), 3-9, 2017. | ||
In article | |||
[28] | Balbi, M. E., Tonin, F. S., Mendes, A. M., Borba, H. H., Wiens, A., Fernandez-Llimos, F. and Pontarolo, R., “Antioxidant effects of vitamins in type 2 diabetes: a meta-analysis of randomized controlled trials,” Diabetology & Metabolic Syndrome, 10(1), 1-12, 2018. | ||
In article | View Article PubMed | ||
[29] | Valdés-Ramos, R., Guadarrama-López, A. L., Martínez-Carrillo, B. E. and Benítez-Arciniega, A. D., “Vitamins and type 2 diabetes mellitus,” Endocrine, metabolic & immune disorders drug targets, 15(1), 54-63, 2015. | ||
In article | View Article PubMed | ||
[30] | Kuroda, M. and Sakaue, H., “Role of vitamin D and calcium in obesity and type 2 diabetes,” Clinical Calcium, 26(3): 349-354, 2016. | ||
In article | |||
[31] | Zhou, C., Na, L., Shan, R., Cheng, Y., Li, Y., Wu, X. and Sun, C., “Dietary Vitamin C Intake Reduces the Risk of Type 2 Diabetes in Chinese Adults: HOMA-IR and T-AOC as Potential Mediators,” PloS one, 11(9), e0163571, 2016. | ||
In article | View Article PubMed | ||
[32] | Ullah, A, Khan, A, and Khan, I., “Diabetes mellitus and oxidative stress—A concise review,” Saudi Pharmaceutical Journal, 24(5), 547-553, 2016. | ||
In article | View Article PubMed | ||
[33] | Ellulu, M. S., Rahmat, A., Patimah, I., Khaza'ai, H. and Abed, Y. “Effect of vitamin C on inflammation and metabolic markers in hypertensive and/or diabetic obese adults: a randomized controlled trial,” Drug design, development and therapy, 9, 3405-3412, 2015. | ||
In article | View Article PubMed | ||
[34] | Teshima, N., Shimo, M., Miyazawa, K., Konegawa, S., Matsumoto, A., Onishi, Y., … Sumida, Y., “Effects of Sugar-Sweetened Beverage Intake on the Development of Type 2 Diabetes Mellitus in Subjects with Impaired Glucose Tolerance: the Mihama Diabetes Prevention Study,” Journal of Nutritional Science and Vitaminology, 61(1), 14-19, 2015. | ||
In article | View Article PubMed | ||
[35] | Anari, R., Amani, R. and Veissi, M., "Sugar-sweetened beverages consumption is associated with abdominal obesity risk in diabetic patients,” Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 11, S675-S678, 2017. | ||
In article | View Article PubMed | ||
[36] | Wang, P.Y., Fang, J.C., Gao, Z.H., Zhang, C. and Xie, S.Y., Higher intake of fruits, vegetables or their fiber reduces the risk of type 2 diabetes: A meta-analysis. Journal of Diabetes Investigation, 7(1), 56-69, 2015. | ||
In article | View Article PubMed | ||
[37] | Kim, Y., Keogh, J., and Clifton, P., “A review of potential metabolic etiologies of the observed association between red meat consumption and development of type 2 diabetes mellitus,” Metabolism, 64(7), 768-779, 2015. | ||
In article | View Article PubMed | ||
[38] | Mazidi, M., Kengne, A. P., George, E. S. and Siervo, M., “The Association of Red Meat Intake with Inflammation and Circulating Intermediate Biomarkers of Type 2 Diabetes Is Mediated by Central Adiposity,” British Journal of Nutrition, 1-20, 2019. | ||
In article | View Article | ||
[39] | Kouvari, M., Notara, V., Kalogeropoulos, N. and Panagiotakos, D. B., “Diabetes mellitus associated with processed and unprocessed red meat: an overview. International Journal of Food Sciences and Nutrition,” 67(7), 735-743, 2016. | ||
In article | View Article PubMed | ||
[40] | Wang, X., Lin, X., Ouyang, Y.Y., Liu, J., Zhao, G., Pan, A. and Hu, F.B., “Red and processed meat consumption and mortality: dose-response meta-analysis of prospective cohort studies,” Public Health Nutrition. 6:1-13, 2015. | ||
In article | |||
[41] | Galani, J. H. Y., Patel, J. S., Patel, N. J. and Talati, J. G., “Storage of Fruits and Vegetables in Refrigerator Increases their Phenolic Acids but Decreases the Total Phenolics, Anthocyanins and Vitamin C with Subsequent Loss of their Antioxidant Capacity,” Antioxidants, 6(3), 59, 2017. | ||
In article | View Article PubMed | ||
[42] | Polegato, B. F., Pereira, A. G., Azevedo, P. S., Costa, N. A., Zornoff, L. A. M., Paiva, S. A. R. and Minicucci, M. F., “Role of Thiamin in Health and Disease,” Nutrition in Clinical Practice, 2019. | ||
In article | View Article PubMed | ||
[43] | Kerns, J. C., Arundel, C. and Chawla, L. S., “Thiamin Deficiency in People with Obesity,” Advances in Nutrition, 6(2), 147-153, 2015. | ||
In article | View Article PubMed | ||
[44] | Saedisomeolia, A. and Ashoori, M., “Riboflavin in Human Health: A Review of Current Evidences,” New Research and Developments of Water-Soluble Vitamins, 57-81, 2018. | ||
In article | View Article PubMed | ||
[45] | Thakur, K., Tomar, S. K., Singh, A. K., Mandal, S. and Arora, S., “Riboflavin and health: A review of recent human research,” Critical Reviews in Food Science and Nutrition, 57(17), 3650-3660, 2016. | ||
In article | View Article PubMed | ||
[46] | Ashoori, M. and Saedisomeolia, A., “Riboflavin (vitamin B2) and oxidative stress: a review,” British Journal of Nutrition, 20: 1-7, 2014. | ||
In article | View Article PubMed | ||
[47] | Alam, M. M., Iqbal, S. and Naseem, I., “Ameliorative effect of riboflavin on hyperglycemia, oxidative stress and DNA damage in type-2 diabetic mice: Mechanistic and therapeutic strategies,” Archives of Biochemistry and Biophysics, 584, 10-19, 2015. | ||
In article | View Article PubMed | ||
[48] | Wang, Z., Xing, W., Song, Y., Li, H., Liu, Y., Wang, Y., … Han, J., “Folic Acid Has a Protective Effect on Retinal Vascular Endothelial Cells against High Glucose,” Molecules, 23(9), 2326, 2018. | ||
In article | View Article PubMed | ||
[49] | Santulli, G., Pagano, G., Sardu, C., Xie, W., Reiken, S., D'Ascia, S.L., et al., “Calcium release channel RyR2 regulates insulin release and glucose homeostasis,” Journal of Clinical Investigation. 125:1968-78, 2015. | ||
In article | View Article PubMed | ||
[50] | Soares, J., Pereira Leal, A., Silva, J. C., Almeida, J. and de Oliveira, H. P., “Influence of Flavonoids on Mechanism of Modulation of Insulin Secretion,” Pharmacognosy magazine, 13(52), 639-646, 2017. | ||
In article | View Article PubMed | ||
[51] | Talaei, M., Pan, A., Yuan, J.M. and Koh, W.P., “Dairy intake and risk of type 2 diabetes,” Clinical Nutrition. 37, 712-718, 2018. | ||
In article | View Article PubMed | ||
[52] | Kim, K.N., Oh, S.Y. and Hong, Y.C., “Associations of serum calcium levels and dietary calcium intake with incident type 2 diabetes over 10 years: The Korean Genome and Epidemiology Study (KoGES),” Diabetology & Metabolic Syndrome. 10, 50, 2018. | ||
In article | View Article PubMed | ||
[53] | Sluijs, I., Cadier, E., Beulens, J.W., Van Der, A.D.L., Spijkerman, A.M., and Van Der Schouw, Y.T., “Dietary intake of carotenoids and risk of Type 2 diabetes,” Nutrition, Metabolism & Cardiovascular Diseases. 25(4), pp. 376-381, 2015. | ||
In article | View Article PubMed | ||
[54] | Suniyadewi, N.W. and Pinatih, G.I., “Correlation between intakes of carbohydrates, protein, and fat with random blood sugar levels in menopausal women,” Frontiers of Nursing, 6(1), 77-80, 2019. | ||
In article | View Article | ||
[55] | Cloete, L., Mitchell, B. and Morton, D., “The role of obesity in the onset of type 2 diabetes mellitus,” Nursing Standard, 31(22), 59-71, 2017. | ||
In article | View Article PubMed | ||