rn Revista de Nutrição Rev Nutr 1415-5273 1678-9865 Pontifícia Universidade Católica de Campinas 02101 10.1590/1678-9865202336e220238 ORIGINAL | Nutritional Education The effect of fruit consumption time on glucose regulation in pregnancy with gestational diabetes O efeıto do tempo de consumo de fruta na regulação da glıcose na gravıdez com dıabetes gestacıonal 0000-0002-8029-5202 Nas Sevil conception and design data collection data analysis manuscript revision manuscript writing of this study 1 0000-0002-3497-567X Yılmaz Hande Öngün 1 2 Istanbul Kültür University Health Sciences Faculty Department of Nutrition and Dietetics Istanbul Turkey Istanbul Kültür University, Health Sciences Faculty, Department of Nutrition and Dietetics. Istanbul, Turkey. Bandırma Onyedi Eylül University Faculty of Health Sciences Department of Nutrition and Dietetics Bandırma Turkey Bandırma Onyedi Eylül University, Faculty of Health Sciences, Department of Nutrition and Dietetics. Bandırma, Turkey. Corresondence to: S. NAS. E-mail: s.nas@iku.edu.tr.

Carla Cristina Enes

The authors declare that they have no conflicts of interest.

 0 0 2023 2023 36 e220238 16 11 2022 13 02 2023 28 08 2023 This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. ABSTRACT Objective

This study aims to determine the effect of fruit consumption time on blood glucose regulation in pregnant women with gestational diabetes.

 Methods

The study was carried out with 64 volunteer participants diagnosed with gestational diabetes. Participants who were directed to the Department of Nutrition and Dietetics were divided into two groups according to the order of application; Group 1 was included in the nutrition treatment program for a week, consuming fruit for the main meal and Group 2 for the snack. During this process, the participants were applied a personalized nutrition plan that was adjusted equally for macronutrients of all meals containing isocaloric 3 main and 4 snacks. In this process, blood glucose values were measured six times a day by the participants and the blood glucose results of both groups before starting the nutrition therapy and on the seventh day after starting the medical nutrition therapy were compared.

 Results

The mean age of the women participating in the study was 33.50±4.95 years and 32.28±5.18 years for the 1st and 2nd groups, respectively, and the groups were similar in terms of anthropometric measurements. The post-diet average of postprandial blood glucose levels in the morning within each group dropped from 180mg/d to 115mg/dL (p<0,001) for Group 1 and from 185mg/dL to 110mg/dL (p<0,001) for Group 2. There was a decrease in the fasting plasma glucose and postprandial blood glucose levels measured in the morning, noon and evening before and after the medical nutrition therapy of the groups, but no statistically significant difference was found between the groups (p>0.05). All participants on the gestational diabetes diet had normal blood sugar levels without the need for insulin. A statistically significant decrease was observed in the postprandial blood glucose-fasting plasma glucose difference levels of the pregnant women in the group that consumed fruit for snacks (Group 2) on the seventh day of the study (p<0,001). There was no significant difference in the pre-diet and post-diet morning fasting plasma glucose values of both groups (p>0,05).

 Conclusion

This study found that medical nutrition therapy in pregnant women with gestational diabetes led to a decrease in blood glucose levels, but consuming fruits as a snack or at the main meal did not make a significant difference on fasting plasma glucose and postprandial blood glucose. It was concluded that the type and amount of carbohydrates consumed daily in gestational diabetes are determinative on blood glucose level.

 RESUMO Objetivo

O objetivo deste estudo é determinar o efeito do tempo de consumo de fruta na regulação da glucose no sangue em mulheres grávidas com diabetes gestacional.

 Métodos

Este estudo foi realizado com 64 participantes voluntários diagnosticados com diabetes gestacional. Os participantes que foram encaminhados para o Departamento de Nutrição e Dietética foram divididos em dois grupos, de acordo com a ordem da sua aplicação. O grupo 1 foi incluído no programa de tratamento médico nutricional durante uma semana, consumindo fruta para a refeição principal e o grupo 2 para os lanches. Neste processo, foi aplicado aos participantes um plano de nutrição personalizado, com isocalórico, 3 refeições principais e 4 lanches, os macronutrientes de todas as refeições foram ajustados igualmente.

Neste processo, os valores de glicemia foram medidos seis vezes por dia pelos participantes, e foram comparados os resultados da glicemia de ambos os grupos antes de se iniciar a terapia nutricional médica e no sétimo dia após o início da terapia nutricional médica.

 Resultados

A idade média das mulheres que participaram no estudo foi de 33,50±4,95 e 32,28±5,18 anos para o 1º e 2º grupos, respetivamente, e não houve diferença entre os grupos em termos de medidas antropométricas. A glicemia média pós-prandial de manhã após terapia nutricional médica dentro dos grupos variou entre 180mg/d a 115mg/dL (p<0,001) para o Grupo 1, e de 185mg/dL a 110mg/dL para o Grupo 2 (p<0,001). Houve uma diminuição nos níveis de glicemia em jejum e glicemia média pós-prandial medidos de manhã, meio-dia e noite antes e depois da terapia nutricional médica dos grupos, mas não houve diferença estatisticamente significativa entre os grupos (p>0,05). Os níveis de açúcar no sangue de todos os participantes na dieta diabetes gestacional baixaram para níveis normais sem necessidade de terapia com insulina. Uma diminuição estatisticamente significativa foi observada no sétimo dia do estudo nos níveis de diferença do glicemia média pós-prandial-glicemia em jejum das mulheres grávidas do grupo que consumiram fruta como aperitivo (Grupo 2). (p<0.001). Não houve diferença significativa nos valores de glicemia em jejum matinal de ambos os grupos antes e depois da dieta (p>0,05).

 Conclusão

Como resultado deste estudo, verificou-se que a terapia nutricional levou a uma diminuição do açúcar no sangue em mulheres grávidas com diabetes gestacional, mas o consumo de fruta como lanche ou refeição principal não fez uma diferença significativa no jejum e na glucose do sangue pós-prandial. Concluiu-se que o tipo e a quantidade de hidratos de carbono consumidos diariamente na diabetes gestacional são determinantes para o nível de glicose no sangue.

 Keywords Diabetes, gestational Fructose Fruit Glycemic index Palavras-chave Diabetes gestacional Frutose Frutas Índice glicêmico INTRODUCTION

Gestational Diabetes is defined as glucose intolerance with onset or is first diagnosed during pregnancy leading to hyperglycemia at different levels [1]. It usually occurs in the second trimester of pregnancy, with increased blood glucose levels between weeks 24-28 [2].

Nutrition therapy provided during pregnancy and lifestyle changes lie at the heart of treating gestational diabetes [3]. The purpose of nutrition therapy for GDM are to reduce the blood glucose level to reference range, to ensure the continuity of blood glucose regulation, to prevent fasting ketosis and to provide all nutritional sources mother and fetus need [4].

Oxidative stress is an important cause and most important therapeutic target of GDM. Fruits are rich sources of natural antioxidants and among the bioactive compounds determined to have anti-diabetic activities, phenolic compounds, polysaccharides, vitamin C contents are rich. Most of them have antioxidant activity. Therefore, fruits are a good source of anti-diabetic nutrients and a balanced diet rich in different fruits is recommended for diabetic patients and pre-diabetic population. For this feature of fruits, varieties and consumption amounts are important. Especially the red, crimson, purple or black colored ones are good natural anti-diabetic foods [5]. However, fruits contain high sugar levels, including fructose, glucose and sucrose. Also, the sugar content in fruits can cause a high post-meal insulin level that predisposes individuals to diabetes, and can increase uric acid production, which is associated with high insulin resistance. Fruit intake without substituting other foods leads to increased energy intake and weight gain, leading to higher blood sugar levels [6]. Firstly, a large number of reactive oxygen species and free radicals are produced during pregnancy, especially during the first trimester, due to the high metabolism of the placenta. There is evidence to demonstrate that the consumption of certain berries and fruits was associated with increased plasma antioxidant capacity. Secondly, the anti-inflammatory effects of polyphenols are reported through a variety of molecular targets [7].

The type and amount of carbohydrates consumed in nutritional therapy and the Glycemic Index (GI) and portion of the fruit are significant determinants on blood glucose level [8]. Excessive fruit consumption and consumption of fruits with high GI, especially in the second trimester of pregnancy, increase the risk of GDM [9]. Some studies found that daily consumption of 460 grams of fruit did not make any difference in the first and second trimesters of pregnancy, but it increased the risk of GDM in the third trimester of pregnancy. However, the low GI and high polypherol ingredient of fruits were reported as factors that reduce the risk of GDM [9-11].

In a study, pregnant women with similar anthropometric measurements were divided into three groups. First group was given 120 grams of apple before the main meal, second group was given the same amount after the main meal, and the control group was given no fruit. While the energy consumption of the group that consumed fruit before the main meal decreased by 18.5% compared to the control group, it was observed that there was a significant increase in the Glucagon-Like Peptide-1 (GLP-1) levels compared to the group that consumed fruit after the main meal. There was no significant difference found in blood glucose levels of the groups. It was stated that further studies were needed to determine the effect of fruit consumption time on blood glucose levels [12].

The effect of fruit consumption, type of the consumed fruit, amount of the consumed fruit and consumption of fruit at certain meals or times on blood glucose regulation in pregnant women with GDM Mellitus is unclear. This study aims to investigate the effect of fruit consumption time on blood glucose regulation in pregnant women diagnosed with GDM Mellitus. In the presence of a Nutrition and Dietetics Specialist, with the application of a one-week nutrition therapy that is appropriate for GDM on pregnant women diagnosed with GDM, significant decreases were expected in the Fasting Plasma Glucose (FPG) and Postprandial Glucose (PPG) levels of all participants. It was predicted that the total amount and type of carbohydrates consumed would effect the blood glucose, not the consumption of fruit at the snack time or with the main meal.

 MATERIAL AND METHODS Research design

In a private hospital in Istanbul, 80 pregnant women who met the research criteria applied for the research between 15.06.2018 and 15.02.2020.5 of the pregnant women were not included in the study for they did not meet all the research criteria. The study was approved number of (2017-KAEK-120)/40 by Istinye University Clinical Research Ethics Committee. 75 pregnant women who met the criteria were informed about the study and the experimental period started after they signed the consent form stating that they were willing to participate in the research. During the study, 5 of the pregnant women got excluded because they did not comply with the nutrition therapy, and 6 of them because they did not measure their blood glucose for the required number of times. The research was completed with a total of 64 participants. Participants who met the criteria were divided into two groups according to the order of application: The group consuming fruit at the main meal (Group 1: 32 people) and the group consuming fruit at the snack time (Group 2: 32 people). Study’s design demonstrates the flowchart of the research (Figure 1).

Research Flowchart.

The daily energy intake of the participants in both groups was arranged isocaloric ally as seven meals a day (3 main – 4 snacks). In both groups, daily macro element elements and energy contents were planned equally and individually. The daily energy, protein, fat and carbohydrate amounts of the groups were respectively as 1st group 1955.2 kcal/d 20%, 35%, 45%, 2nd group 2009.5 kcal/d 20%, 36%, 44%. All daily snacks of both groups contain equal carbohydrates. Although the trial period of medical nutrition therapy depends on the gestational week and glucose levels, the trial period of the study was planned as one week due to the convenience of being one or two weeks at the most [13].

As recommended for individuals with diabetes, 45-50% of daily energy of the participants was composed of carbohydrates, 15-20% from proteins and 25-30% from fats [14]. The amount of fructose was adjusted so as not to exceed 10% of the daily carbohydrate intake [1k]. According to with GDM dietary guidelines fruits with low GI were added (like an apple, orange, mandarin) to the daily nutrition plan as three servings per day composing 10% of the daily carbohydrate intake (200 g).

 Patient Population and Randomization

To determine the minimum number of participants to participate in the study, the number of individuals diagnosed with GDM who had applied to a private hospital in Istanbul in the last year was taken as the universe (85 people). Power analysis was carried out in the research to determine the minimum number of participants to represent the universe.

Considering the similar studies in the literature, the expected change in sample size was calculated as 0.53 (with 80% power and 5% margin of error) and 32 participants (Group 1, 16 participants; Group 2, 16 participants) [16]. 64 volunteer pregnant women diagnosed with GDM were included in the study. Participants were randomly selected according to the order of application and divided into two groups: Group 1, 32 participants, and Group 2, 32 participants.

After the research was completed, the power of the research was calculated as 5% margin of error, 100% using the fasting blood glucose change with the PASS 11® package program, and 99.9% using the fasting blood glucose change.

Volunteer pregnant women of all ages with a singleton pregnancy, not having diagnosed with Diabetes Mellitus (DM), Impaired Glucose Tolerance (IGT) or hypoglycemia before pregnancy, not having diagnosed with GDM in previous pregnancies, without any comorbid diseases, with pre-pregnancy body mass index in the range of 20-25 kg/m2, not using insulin, who gained maximum 10 kg during pregnancy, who have no condition that prevents fruit consumption, who were diagnosed with GDM by the Obstetrics and Gynecology Polyclinic based on the results of the Oral Glucose Tolerance Test performed within the 24-28th week and who were referred to the Nutrition and Dietetics Department were included in the research.

Pregnant women with multiple pregnancies, who did not consume fruit, who had additional diseases other than GDM (such as [type 1 diabetes Mellitus (T1DM), T2DM, IGT, hypoglycemia, preeclampsia, hypertension (HT)], kidney diseases), and those using insulin were excluded from the study. In addition, pregnant women who did not comply with the nutrition treatment program prepared during the research period or who failed to track their glucose levels at home were not included in the study.

 Data Collection

Participants consist of pregnant women who applied to the Obstetrics and Gynecology Polyclinic, who were in the 24-28th week of their pregnancy, diagnosed with GDM because of the routine OGTT test requested by their physicians and referred to the Nutrition and Dietetics Polyclinic. After the pregnant women who were planned to be included in the study were informed.

 Patient Population and Randomization

To determine the minimum number of participants to participate in the study, the number of individuals diagnosed with GDM who had applied to a private hospital in Istanbul in the last year was taken as the universe (85 people). Power analysis was carried out in the research to determine the minimum number of participants to represent the universe.

Considering the similar studies in the literature, the expected change in sample size was calculated as 0.53 (with 80% power and 5% margin of error) and 32 participants (Group 1, 16 participants; Group 2, 16 participants) [17]. 64 volunteer pregnant women diagnosed with GDM were included in the study. Participants were randomly selected according to the order of application and divided into two groups: Group 1, 32 participants, and Group 2, 32 participants.

After the research was completed, the power of the research was calculated as 5% margin of error, 100% using the fasting blood glucose change with the PASS 11® package program, and 99.9% using the fasting blood glucose change.

Volunteer pregnant women of all ages with a singleton pregnancy, not having diagnosed with DM, IGT or hypoglycemia before pregnancy, not having diagnosed with GDM in previous pregnancies, without any comorbid diseases, with pre-pregnancy body mass index in the range of 20-25 kg/m2, not using insulin, who gained maximum 10 kg during pregnancy, who have no condition that prevents fruit consumption, who were diagnosed with GDM by the Obstetrics and Gynecology Polyclinic based on the results of the Oral Glucose Tolerance Test performed within the 24-28th week and who were referred to the Nutrition and Dietetics Department were included in the research.

Pregnant women with multiple pregnancies, who did not consume fruit, who had additional diseases other than GDM (such as T1DM, T2DM, IGT, hypoglycemia, preeclampsia, HT, kidney diseases), and those using insulin were excluded from the study. In addition, the study did not include pregnant women who did not comply with the nutrition treatment program prepared during the research period or who failed to track their glucose levels at home.

Participants consist of pregnant women who applied to the Obstetrics and Gynecology Polyclinic, who were in the 24-28th week of their pregnancy, diagnosed with GDM because of the routine OGTT test requested by their physicians and referred to the Nutrition and Dietetics Polyclinic. After the pregnant women who were planned to be included in the study were informed about the research, each participant signed the Informed Volunteer Consent Form. The participants were asked questions about their sociodemographic information, health condition, information about their pregnancy and dietary habits with the information form prepared by the researcher. After the body analysis of the participants were completed and the researcher prepared their nutrition programs, a daily food and blood glucose record form was given to the participants. They were asked to record the foods they consumed as well as the FPG and PPG results that they would measure at home with a glucometer for a week. The fasting and PPG levels in the morning before and on the seventh day of the study, and the fasting and PPG levels in the morning, noon, and evening on the first and seventh day of the study were compared of the two groups that consumed fruit in the main meal and at snack time.

Statistical analyzes of the data obtained in the study were evaluated using the IBM®SPSS®, version 21 package program. Quantitative variables are demonstrated with mean, standard deviation, median, minimum and maximum values. Qualitative variables are demonstrated with numbers and percentages. Participants consist of two groups: those who consume fruit with the main meal and those who consume fruit at snack time. Chi-square test (Pearson Chi-square test, Fisher’s exact test, multi-eyed Chi-square test) was used for the differences between the groups regarding qualitative variables. The convenience of the quantitative variables to the normal distribution was checked using the Shapiro Wilk test. Differences between groups in terms of quantitative variables were examined using the t-test for the variables in which the parametric test assumptions were met, and the Mann Whitney U test for the variables where the parametric test assumptions were not met. The relationship between quantitative variables was evaluated with the help of Spearman Correlation coefficient. The significance level was taken as p<0.05.

 RESULTS

This part of the study presents the findings obtained from the data analysis collected in the research conducted with 64 pregnant women diagnosed with GDM. Among the pregnant women who participated in the study, a statistically significant difference was found between the groups in terms of smoking habit during pregnancy and having a history of food allergies (p<0.05). There was no statistically significant difference between the groups in terms of age, education level, employment status, family history of diabetes, drug use, physical activity level, and smoking habit before pregnancy (p>0.05).

There was no statistically significant difference between the groups in terms of anthropometric measurements (height, body mass index, current body weight, weight gains during pregnancy) (p>0.05).

When the FPG, PPG and PPG-FPG differences of the participants were examined before the study, no statistically significant difference was found between the groups (p>0.05). When the FPG and PPG levels of the pregnant women in Group 1 and Group 2 were measured in the morning before starting the research and in the morning of the seventh day after starting the research were compared, no statistically significant difference was found between the groups (p>0.05). A statistically significant decrease was observed in the PPG levels of pregnant women in both Group 1 and Group 2 measured in the morning of the seventh day of the study (p<0.05) (Table 1).

Evaluation of the anthropometric measurements of pregnant women and the pre-research fasting plasma glucose, postprandial glucose and postprandial glucose-fasting plasma glucose difference according to the groups.
Variables Group 1   Group 2 Test value p
Mean±SD Median   Mean±SD Median
Height (cm) 160.31±4.05 160.00   160.88±5.56 160.00 t=-0.463 0.645
Body weight before pregnancy (kg) 64.06±12.77 62.00   68.70±10.49 67.00 t=-1.589 0.117
Pre-pregnancy BMI (kg/m2) 25.31±4.15 25.00   26.52±4.22 26.00 z=-1.289 0.197
Current body weight (kg) 71.26±11.87 70.50   77.36±11.81 74.00 z=-1.903 0.057
Weight gained during pregnancy (kg) 7.47±3.36 8.00   7.47±4.39 7.00 z=-0.675 0.500
FPG (mg/dL) 89.22±10.32 88.00   92.09±12.47 90.50 t=-1.005 0.319
PPG (mg/dL) 182.03±18.89 180.00   183.66±20.85 185.50 t=-0.327 0.745
PPG-FPG (Difference) 92.81±20.93 90.00   91.56±23.40 92.50 t=0.225 0.823

Note: Group 1: The group consuming fruit in the main meal. Group 2: The group consuming fruit at the snack time. BMI: Body Mass Index, FPG: Fasting plasma glucose, PPG: Postprandial glucose, z: Mann Whitney U test z statistic; t: t-test statistic, SD: Standard Deviation.

The decrease in the difference between PPG-FPG, measured in the morning on the seventh day of the study of the pregnant women in Group 1 and Group 2 was found to be statistically significant (p<0.05). However, no statistically significant difference was found between the two groups in terms of the change of PPG-FPG difference (p>0.05) (Table 2).

Evaluation of the change of the fasting plasma glucose, postprandial glucose and postprandial glucose-fasting plasma glucose difference of the pregnant women measured before and on the seventh day of the study between groups and within the group.
Measurement time Variable Group 1 Test value1 p1   Group 2 Test value2 p2 Test value3 p3
Mean±SD Median Min-Max   Mean±SD Median Min-Max
Pre-research FPG 89.22±10.32 88.00 73-113 -0.935 0.350   92.09±12.47 90.50 72-122 -2.273 0.023 -1.296 0.195
Day 7 of research FPG 87.28±11.83 87.00 68-115   84.66±11.38 82.00 65-120
Pre-research PPG 182.03±18.89 180.00 151-227 -4.937 <0.001   183.66±20.85 185.50 127-220 -4.918 <0.001 -1.074 0.283
Day 7 of research PPG 115.00±26.06 107.50 73-183   110.34±17.83 110.00 68-139
Pre-research PPG-FPG (Difference) 92.81±20.93 90.00 57-137 -4.918 <0.001   91.56±23.40 92.50 17-131 -4.899 <0.001 -0.195 0.846
Day 7 of research PPG-FPG (Difference) 27.72±121.09 23.00 -7-72   25.69±126.10 25.00 -9-52

Note: Group 1: the group consuming fruit in the main meal. Group 2: the group consuming fruit at the snack time. p1: Comparison of the measurements of Group 1 before the study and on the 7th day of the study, p2: Comparison of the measurements of Group 2 before the study and on the 7th day of the study, p3: Comparison of pre-research and 7th-day measurements between the two groups. Test value1 and Test value2: Wilcoxon test z statistic. Test value3: Mann Whitney U test z statistic. FPG: Fasting plasma glucose, PPG: Postprandial glucose, SD: Standart Deviation.

For women in Group 1, there was a statistically significant difference in the changes in the amount of PPG measured in the morning before the study and in the morning of the seventh day after the start of the study (p<0.05). For women in Group 2, there was a statistically significant difference in the changes in the amount of PPG measured in the morning before the study and in the morning of the seventh day after the start of the study (p<0.05) (Table 3).

Evaluation of the change of the Fasting plasma glucose, Postprandial glucose, and Postprandial glucose -Fasting plasma glucose difference of the pregnant women measured on the first day of the research and in the morning, noon and evening of the seventh day of the research.
Time /Before-After Variables Group 1 Test value1 p1 Group 2 Test value2 p2 Test value3 p3
Mean±SD Median Min-Max Mean±SD Median Min-Max
Morning                          
  Day 1 FPG 92.38±15.40 90.00 72-141 -1.764 0.078 88.75±11.66 89.00 60-114 -1.644 0.100 -0.477 0.633
  Day 7 FPG 87.28±11.83 87.00 68-115 84.66±11.38 82.00 65-120 -0.907 0.364
  Day 1 PPG 124.19±25.42 125.00 69-183 -2.033 0.042 123.03±26.98 116.00 62-185 -2.783 0.005 -0.316 0.752
  Day 7 PPG 115.00±26.06 107.50 73-183 110.34±17.83 110.00 68-139 -0.282 0.778
  Day 1 PPG-FPG (Difference) 31.81±24.67 34.5 -10-94 -1.147 0.251 34.28±25.78 33 -7-107 -1.986 0.047 -0.141 0.888
  Day 7 PPG-FPG (Difference) 27.72±21.09 23 -7-72 25.69±16.10 25 -9-52 -0.665 0.506
Noon                          
  Day 1 FPG 87.31±14.06 86.00 63-140 -0.314 0.754 87.72±11.53 88.50 58-115 -0.783 0.434 -0.558 0.577
  Day 7 FPG 88.28±22.58 86.50 60-181 86.22±11.15 85.50 61-110 -0.269 0.788
  Day 1 PPG 116.63±21.99 115.50 67-180 -1.254 0.21 110.81±23.20 110.50 71-150 -0.350 0.727 -0.759 0.448
  Day 7 PPG 112.00±18.18 110.00 85-140 109.88±19.29 110.00 79-177 -0.578 0.563
  Day 1 PPG-FPG (Difference) 29.31±23.75 31 -30-80 -0.617 0.537 23.09±19.40 24 -18-64 -0.154 0.877 -0.101 0.920
  Day 7 PPG-FPG (Difference) 23.72±26.03 24.5 -81-64 23.66±18.28 24 -11-91 -0.806 0.420
Evening                          
  Day 1 FPG 90.19±12.65 91.00 65-125 -0.206 0.837 93.47±18.95 90.00 71-146 -0.905 0.365 -0.141 0.888
  Day 7 FPG 88.94±12.06 89.00 66-115 89.44±10.03 89.00 73-110 -0.108 0.914
  Day 1 PPG 114.28±21.48 114.50 68-155 -0.533 0.594 116.34±26.81 113.00 69-196 -1.101 0.271 -0.134 0.893
  Day 7 PPG 113.75±19.42 114.50 77-162 106.94±14.65 102.00 85-141 -1.452 0.147
  Day 1 PPG-FPG (Difference) 24.09±19.29 23.5 -23-61 -0.118 0.906 22.88±29.26 19.5 -36-125 -0.127 0.899 -1.109 0.267
  Day 7 PPG-FPG (Difference) 24.81±17.22 21.5 -4-70 17.50±9.54 15.5 -3-42 -1.756 0.079

Note: Group 1: Those who consume fruit in the main meal. Group 2: Those who consume fruit at snack time. Test value1 and Test value2: Wilcoxon test z statistic. Test value3: Mann Whitney U test z statistic. p1: Comparison of the measurements of Group 1 before the study and on the 7th day of the study, p2: Comparison of the measurements of Group 2 before the study and on the 7th day of the study, p3: Comparison of pre-research and 7th-day measurements between the two groups, FPG: Fasting plasma glucose PPG: Postprandial glucose, SD: Standart Deviation.

There was no linear relationship between the FPG values measured pre-research and in the morning of the seventh day of the study, and the number of meals and anthropometric measurements (p>0.05) (Table 4).

Evaluation of the relationship between the fasting plasma glucose and postprandial glucose values, the number of meals and anthropometric measurements of the pregnant women before the study and on the seventh day of the study within each group.
Variables Group 1   Group 2
Pre-research   Day 7 of research   Pre-research   Day 7 of research
r p   r p   r p   r p
FPG                      
  Number of main meals -0.186 0.307   -0.138 0.451   -0.246 0.174   -0.149 0.416
  Number of snacks 0.126 0.491   -0.309 0.086   -0.132 0.472   -0.078 0.672
  Weight gained during pregnancy (kg) -0.227 0.212   -0.294 0.102   0.108 0.556   -0.086 0.640
  Pre-pregnancy body weight (kg) 0.147 0.422   0.319 0.075   0.336 0.060   -0.014 0.939
  Pre-pregnancy BMI (kg/m2) 0.167 0.360   0.272 0.132   0.304 0.090   -0.133 0.467
  Current body weight (kg) 0.098 0.594   0.299 0.097   0.323 0.071   -0.045 0.809
PPG                      
  Number of main meals -0.110 0.547   -0.072 0.694   -0.012 0.949   -0.255 0.160
  Number of snacks -0.344 0.054   -0.190 0.297   -0.024 0.898   -0.277 0.125
  Pre-pregnancy body weight (kg) -0.168 0.358   0.294 0.103   -0.270 0.134   -0.196 0.282
  Pre-pregnancy BMI (kg/m2) -0.117 0.525   0.267 0.139   -0.366 0.040   -0.060 0.746
  Current body weight (kg) -0.234 0.197   0.302 0.093   -0.178 0.329   -0.363 0.041
  Weight gained during pregnancy (kg) 0.072 0.695   -0.168 0.358   0.028 0.880   -0.281 0.120

Note: Group 1: The group consuming fruit in the main meal. Group 2: The group consuming fruit at the snack time. r: Spearman Correlation Coefficient. BMI: Body Mass Index, FPG: Fasting plasma glucose, PPG: Postprandial glucose.

 DISCUSSION

The GDM, which is becoming increasingly common due to the increase in T2DM and obesity, is one of the riskiest pregnancy complications in terms of maternal and fetal health.

The most prominent and most important treatment approach in GDM is nutrition therapy. The type and amount of carbohydrates in pregnant women with GDM are crucial, especially for post-meal glucose control. In pregnant women diagnosed with GDM, carbohydrates should be chosen from foods with a low GI, distributed to the meals in a balanced way and excessive carbohydrate consumption should be limited [18]. For this reason, it is necessary to be mindful about the amount and types of fruits daily consumed [16]. This study aimed to determine the effect of fruit consumption time on blood glucose regulation in pregnant women with GDM.

The PPG is related to the amount of all macronutrients, especially carbohydrates, and the GI level of carbohydrates has the most decisive effect on blood glucose. The daily intake of carbohydrates should be distributed as two or three snacks in addition to the main meals [19]. It has been reported that instead of decreasing the amount of carbohydrates consumed during pregnancy, the balanced distribution of consumed carbohydrates to daily meals and opting for carbohydrates with a low GI and glycemic-load are effective in ensuring the regulation of blood glucose and reducing the need for insulin therapy [20]. In a study by Walsh et al. [21], 140 pregnant women with GDM who had not diagnosed with GDM and were not treated with insulin before were randomly divided into two separate groups (group 1 was given a (66) low GI diet, group 2 was given a (74) normal diet). Both groups were given equal energy and carbohydrate diets, but a low GI diet was followed with one group and a normal diet with the other group. While there was no significant difference between the blood glucose levels of the two groups before the diet, a significant statistical decrease was found in the post-diet blood glucose level of the group consuming a low GI diet [22]. In another study conducted with pregnant women with GDM, low GI foods were given to one group and high GI foods containing the same amount of carbohydrates were given to the other group and their PPG levels were compared. The PPG decreased significantly in the first group, while it increased in the other group [23]. Diets with a low GI have a crucial role in regulating the increase in blood glucose levels in pregnant women with GDM [24]. In a study conducted with pregnant women with GDM, the participants were divided into two groups. A diet containing 40% carbohydrates was given to one group and 55% to the other group, and their blood glucose levels were compared. There was no difference between the two groups in terms of insulin need. It has been suggested that the nutrition treatment protocol in this regard should be modified by carrying out research on different populations [25]. In this study, a nutrition treatment plan that is with a low GI, isocaloric and with snacks containing equal amount of carbohydrates was applied to pregnant women. In this study, no statistically significant difference was found between the pre-research FPG, PPG, and PPG-FPG difference levels of the pregnant women in both groups (p>0.05). While there was no statistically significant difference was found between the groups when the FPG levels of the pregnant women in both groups were compared before the study and in the morning on the seventh day of the study (p>0.05), a statistically significant decrease was observed in the morning PPG levels of both groups after applying the appropriate nutrition therapy for GDM with low GI (p<0.05).

In this study, the effect of fruit consumption time on blood glucose level was investigated in pregnant women with GDM. Thanks to the high level of fiber and vitamins they contain, fruits have positive effects on metabolic diseases. However, the effects of long-term consumption of fresh fruit in terms of diabetes and vascular complications caused by diabetes are unknown. Studies show that three essential macronutrients should be combined in a meal for an ideal blood glucose. The low GI and high polyphenol content of fruits are among the factors that contribute decreasing the risk of GDM. While daily consumption of 460 grams of fruit does not pose a risk for GDM in the first and second trimesters, it increases the probability of developing GDM in the third trimester [9].

Pregnant women with similar anthropometric measurements were divided into three groups in a study. First group was given 120 grams of apple before the main meal, second group was given the same amount after the main meal, and the control group was given no fruit. While the energy consumption of the group that consumed fruit before the main meal decreased by 18.5% compared to the control group, it was observed that there was a significant increase in the level of GLP-1 levels compared to the group that consumed fruit after the main meal. There was no significant difference found in the blood glucose levels of the groups. It was stated that further studies were needed to determine the effect of fruit consumption time on blood glucose level [12].

In this study, when the measurements of the pregnant women in the group consuming fruit for snacks (Group 2) were compared before the research and on the seventh day after the study, it was observed that the difference between PPG and FPG in the morning decreased significantly (p<0.05). For the group that consumes fruit in the main meal (Group 1), the number of carbohydrates at breakfast was planned as 42 grams since fruit was given with the main meals, and in Group 2 it was planned as 30 grams, since fruit was given only at snack time. Following the recommended maximum carbohydrate intake of 30 grams in the morning meal for pregnant women with GDM is the reason for this significant difference [26].

Although there was no statistically significant difference in the PPG-FPG levels of the pregnant women in Group 1 and Group 2, which were measured at noon and evening on the first day of the study and on the seventh day of the study, there was a statistical difference between PPG-FPG measured in the morning (p<0.05). The difference between the morning blood glucose is due to hyperglycemia due to gluconeogenesis activation in the morning hours because of excessive secretion of growth hormone, corticosteroids, glucagon and adrenaline hormones during sleep at night in response to the decrease in blood glucose levels late at night, and glucose release from muscle, liver and adipose tissue. Morning PPG levels may be higher in individuals with diabetes [27]. It is seen that the low GI diet compatible with GDM applied to the participants has significantly reduced the level of morning hyperglycemia.

 CONCLUSION

This study found that nutrition therapy with a low GI is quite effective in preventing hyperglycemia, but consuming the fruit as a snack or at the main meal has no effect on blood glucose levels. With nutrition treatments in the presence of a dietitian in pregnant women diagnosed with GDM, blood glucose values decrease to target values and insulin therapy is not required. Low GI fruits and their portion sizes as well as the amounts they can consume daily should be explained to pregnant women with GDM, and it should be noted that they should be mindful of the GI and portion size of the fruit rather than the time of consumption. Blood glucose is regulated in pregnant women with GDM Mellitus by following a diet with 6-7 meals a day and with low GI foods. In the daily diet of pregnant women with GDM, consuming two or three servings of fruit with a low GI in any meal is convenient for blood glucose regulation.

Since the participants cannot be observed in person during the application of nutrition treatments, collecting the data about compliance to the nutrition treatment and the blood glucose results they measured at home through the daily food and blood glucose registration form may affect the research results. To investigate the effect of fruit consumption time on blood glucose in more detail, there is a need for further and more comprehensive studies with a multidisciplinary approach in several centers and with many participants.

How to cite this article: Nas S, Öngün Yılmaz H. The effect of fruit consumption time on glucose regulation in pregnancy with gestational diabetes. Rev Nutr. 2023;36:e220238. https://doi.org/10.1590/1678-9865202336e220238

 REFERENCES Goyal A, Gupta Y, Singla R, Kalra S, Tandon N. American Diabetes Association “Standarts of Medical Care-2020 for Gestational Diabetes Mellitus”: A Critical Appraisal”. Diabetes Ther. 2020;11(8):1639-44. https://doi.org.10.1007/s13300-020-00865-3 Goyal A Gupta Y Singla R Kalra S Tandon N. American Diabetes Association “Standarts of Medical Care-2020 for Gestational Diabetes Mellitus”: A Critical Appraisal Diabetes Ther 2020 11 8 1639 1644 10.1007/s13300-020-00865-3 Krejci H, Simjak P, Anderlova K, Benakova H, Parizek A, et al. The incidence of gestational diabetes mellitus before and after the introduction of HAPO Diagnostic Criteria. Ceska Gynekol. 2019;84(6):404-11. Krejci H Simjak P Anderlova K Benakova H Parizek A The incidence of gestational diabetes mellitus before and after the introduction of HAPO Diagnostic Criteria Ceska Gynekol 2019 84 6 404 411 Vasile FC, Preda A, Ștefan AG, Vladu ML, Forțofoiu MC, Clenciu D, et al. An update of medical nutrition therapy in gestational diabetes mellitus. J Diabetes Res. 2021; 2021: 5266919. https://doi.org.10.1155/2021/5266919 Vasile FC Preda A Vladu ML Forțofoiu MC Clenciu D An update of medical nutrition therapy in gestational diabetes mellitus J Diabetes Res 2021 2021 5266919 5266919 10.1155/2021/5266919 Türkiye Endokrinoloji ve Metabolizma Derneği. Diabetes Mellitus ve Komplikasyonlarının Tanı, Tedavi ve İzlem Kılavuzu, Diyabette Tibbı Beslenme Tedavisi. Ankara: TEMD; 2020. Türkiye Endokrinoloji ve Metabolizma Derneği Diabetes Mellitus ve Komplikasyonlarının Tanı, Tedavi ve İzlem Kılavuzu, Diyabette Tibbı Beslenme Tedavisi Ankara TEMD 2020 Sun C, Liu Y, Zhan L, Rayat G, Xiao J, Jiang H, et al. Anti-Diabetic effects of natural antioxidants from fruits. Trends Food Sci Technol. 2021;117:3-14. Sun C Liu Y Zhan L Rayat G Xiao J Jiang H Anti-Diabetic effects of natural antioxidants from fruits Trends Food Sci Technol 2021 117 3 14 Rocha D, Caldas A, Silva B, Hermsdorff H, Alfenas R. Effects of Blueberry and cranberry consumption on type 2 diabetes glycemic control: a systematic review. Crit Rev Food Sci Nutr. 2019;59:1816-28. Rocha D Caldas A Silva B Hermsdorff H Alfenas R. Effects of Blueberry and cranberry consumption on type 2 diabetes glycemic control: a systematic review Crit Rev Food Sci Nutr 2019 59 1816 1828 Klein AV, Kiat H. The mechanisms underlying fructose-induced hypertension: a review. J Hypertens. 2015;33:912-20. Klein AV Kiat H. The mechanisms underlying fructose-induced hypertension: a review J Hypertens 2015 33 912 920 Wu F, Tian FJ , Lin Y. Oxidative stress in placenta: health and diseases. Biomed Res Int. 2015;2015:293271. https://doi.org.10.1155/2015/293271 Wu F Tian FJ Lin Y Oxidative stress in placenta: health and diseases Biomed Res Int 2015 2015 293271 293271 10.1155/2015/293271 Jain S, Maheshwari A, Sunil K. Maternal nutrition and fetal/ınfant development. Clin Perinatol. 2022;49(2):313-30. Jain S Maheshwari A Sunil K Maternal nutrition and fetal/ınfant development Clin Perinatol 2022 49 2 313 330 Marshall NE, Abrams B , Barbour LA, Catalano P, Christian P, Friedman JE , et al. The importance of nutrition in pregnancy and lactation: lifelong consequences. Am J Obstet Gynecol. 2022;226(5),607-32. https://doi.org.10.1016/j.ajog.2021.12.035 Marshall NE Abrams B Barbour LA Catalano P Christian P Friedman JE The importance of nutrition in pregnancy and lactation: lifelong consequences Am J Obstet Gynecol 2022 226 5 607 632 10.1016/j.ajog.2021.12.035 Salinas-Roca B, Rubió-Piqué R, Montull-López A. Polyphenol ıntake in pregnant women on gestational diabetes risk and neurodevelopmental disorders in offspring: a systematic review. Nutrients. 2022;14(18):3753. Salinas-Roca B Rubió-Piqué R Montull-López A. Polyphenol ıntake in pregnant women on gestational diabetes risk and neurodevelopmental disorders in offspring: a systematic review Nutrients 2022 14 18 3753 3753 Mohammed SG, Qoronfleh MW. Fruits. Adv Neurobiol. 2020;24:279-376. https://doi.org.10.1007/978-3-030-30402-7_9 Mohammed SG Qoronfleh MW Fruits Adv Neurobiol 2020 24 279 376 10.1007/978-3-030-30402-7_9 Hunt KF, Whitelaw BC, Gayle C. Gestational diabetes. Obstet Gynaecol Reprod Med, 2014;(8);238-44. Hunt KF Whitelaw BC Gayle C. Gestational diabetes Obstet Gynaecol Reprod Med 2014 8 238 244 Abdul Hakim B, Yahya H, Shahar S, Abdul Manaf Z, Damanhuri H. Effect of sequence of fruit ıntake in a meal on satiety. Int J Environ Res Public Health. 2019;122:4464. https://doi.org.10.3390/ijerph16224464 Abdul Hakim B Yahya H Shahar S Abdul Manaf Z Damanhuri H. Effect of sequence of fruit ıntake in a meal on satiety Int J Environ Res Public Health 2019 122 4464 4464 10.3390/ijerph16224464 Kheriji N, Boukhalfa W, Mahjoub F, Hechmi M, Dakhlaoui T, Mrad M, et al. The role of dietary ıntake in type 2 diabetes mellitus: ımportance of macro and micronutrients in glucose homeostasis. Nutrients. 2022;14(10):2132. https://doi.org.10.3390/nu14102132 Kheriji N Boukhalfa W Mahjoub F Hechmi M Dakhlaoui T Mrad M The role of dietary ıntake in type 2 diabetes mellitus: ımportance of macro and micronutrients in glucose homeostasis Nutrients 2022 14 10 2132 2132 10.3390/nu14102132 Köseler E, Kızıltan G. The Effect of Different Amounts of Fructose Consumption on Some Anthropometric Measurements and Biochemical Parameters. J Hum Nutr Diet, 2019;1:14-23. Köseler E Kızıltan G. The Effect of Different Amounts of Fructose Consumption on Some Anthropometric Measurements and Biochemical Parameters J Hum Nutr Diet 2019 1 14 23 Onat T, Inandiklioglu N. Circulating Myonectin and Irisin Levels in Gestational Diabetes Mellitus. Z Geburtshilfe Neonatol. 2021;225(4):320-6. https://doi.org.10.1055/a-1404-4323 Onat T Inandiklioglu N. Circulating Myonectin and Irisin Levels in Gestational Diabetes Mellitus Z Geburtshilfe Neonatol 2021 225 4 320 326 10.1055/a-1404-4323 Duarte-Gardea MO, Gonzales-Pacheco DM, Reader DM, Thomas AM, Wang SR, Gregory RP. Gestational diabetes evidence-based nutrition practice guideline. J Acad Nutr Diet. 2018;118:1719-42. https://doi.org.10.1016/j.jand.2018.03.014 Duarte-Gardea MO Gonzales-Pacheco DM Reader DM Thomas AM Wang SR Gregory RP Gestational diabetes evidence-based nutrition practice guideline J Acad Nutr Diet 2018 118 1719 1742 10.1016/j.jand.2018.03.014 Marangoni F , Martini D , Scaglioni S , Sculati M , Donini L , Leonardi F, et al . Snacking in nutrition and health. Int J Food Sci Nutr. 2019;70(8):909-23. https://doi.org.10.1080/09637486.2019 Marangoni F Martini D Scaglioni S Sculati M Donini L Leonardi F Snacking in nutrition and health Int J Food Sci Nutr 2019 70 8 909 923 10.1080/09637486.2019.142909 Festa C , Fresa R , Visalli N , Bitterman O , Giuliani C , Surac Ci , et al. Insulin requirements and carbohydrate to ınsulin ratio in normal weight, overweight, and obese women with type 1 diabetes under pump treatment during pregnancy: a lesson from old technologies. Front Endocrinol. 2021;25(12):610877. https://doi.org.10.3389/fendo.2021.610877 Festa C Fresa R Visalli N Bitterman O Giuliani C Surac Ci Insulin requirements and carbohydrate to ınsulin ratio in normal weight, overweight, and obese women with type 1 diabetes under pump treatment during pregnancy: a lesson from old technologies Front Endocrinol 2021 25 12 610877 610877 10.3389/fendo.2021.610877 Walsh P, Roberts R, Schwarts F. New Criteria for Assessing the Accuracy of Blood Glucose Monitors Meeting. J Diabetes Sci Technol. 2012;6(2):226-485. https://doi.org/10.1177/193229681200600236 Walsh P Roberts R Schwarts F. New Criteria for Assessing the Accuracy of Blood Glucose Monitors Meeting J Diabetes Sci Technol 2012 6 2 226 485 10.1177/193229681200600236 Chiavaroli l , Lee D , Ahmed A , Cheung A , Khan T , Blanco S, et al. Effect of low glycaemic index or load dietary patterns on glycaemic control and cardiometabolic risk factors in diabetes: systematic review and meta-analysis of randomised controlled trials. BMJ. 2021;4(374):1651. https://doi.org.10.1136/bmj.n1651 Chiavaroli L Lee D Ahmed A Cheung A Khan T Blanco S Effect of low glycaemic index or load dietary patterns on glycaemic control and cardiometabolic risk factors in diabetes: systematic review and meta-analysis of randomised controlled trials BMJ 2021 4 374 1651 1651 10.1136/bmj.n1651 Vlachos D, Malisova S, Lindberg F, Karaniki G. Glycemic Index (GI) or Glycemic Load (GL) and dietary ınterventions for optimizing postprandial hyperglycemia in patients with T2 diabetes. Nutrients. 2020;12(6):1561. https://doi.org.10.3390/nu12061561 Vlachos D Malisova S Lindberg F Karaniki G. Glycemic Index (GI) or Glycemic Load (GL) and dietary ınterventions for optimizing postprandial hyperglycemia in patients with T2 diabetes Nutrients 2020 12 6 1561 1561 10.3390/nu12061561 Rasmussen L, Christensen M, Poulsen CW, Rud C , Christensen AS, Andersen JR, et al. Effect of high versus low carbohydrate ıntake in the morning on glycemic variability and glycemic control measured by continuous blood glucose monitoring in women with gestational diabetes mellitus: a randomized crossover study. Nutrients. 2020;12(2):475. https://doi.org.10.3390/nu12020475 Rasmussen L Christensen M Poulsen CW Rud C Christensen AS Andersen JR Effect of high versus low carbohydrate ıntake in the morning on glycemic variability and glycemic control measured by continuous blood glucose monitoring in women with gestational diabetes mellitus: a randomized crossover study Nutrients 2020 12 2 475 475 10.3390/nu12020475 Sweeting A , Mijatovic J, Brinkworth GD, Markovic TP, Ross G , Brand-Miller J, et al. The Carbohydrate threshold in pregnancy and gestational diabetes: how low can we go? Nutrients. 2021;13(8):2599. https://doi.org.10.3390/nu13082599 Sweeting A Mijatovic J Brinkworth GD Markovic TP Ross G Brand-Miller J The Carbohydrate threshold in pregnancy and gestational diabetes: how low can we go? Nutrients 2021 13 8 2599 2599 10.3390/nu13082599 Almeida R, Marot L, Latorraca C, Oliveira R, Crispim C. Is evening carbohydrate ıntake in healthy ındividuals associated with higher postprandial glycemia and ınsulinemia when compared to morning ıntake? a systematic review and meta-analysis of randomized crossover studies. J Am Nutr Assoc. 2022;1:1-12. https://doi.org.10.1080/07315724.2022.2043199 Almeida R Marot L Latorraca C Oliveira R Crispim C. Is evening carbohydrate ıntake in healthy ındividuals associated with higher postprandial glycemia and ınsulinemia when compared to morning ıntake? a systematic review and meta-analysis of randomized crossover studies J Am Nutr Assoc 2022 1 1 12 10.1080/07315724.2022.2043199 Reyhanoglu G, Rehman A. Somogyi Phenomenon. Treasure Island: StatPearls Publishing; 2023. Reyhanoglu G Rehman A. Somogyi Phenomenon Treasure Island StatPearls Publishing 2023