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Gestasyonel Diyabeti Olan ve Olmayan Gebelerin Sosyal Jetlag ve Beslenme Durumunun İncelenmesi

Yıl 2024, Cilt: 19 Sayı: 2, 40 - 48, 22.07.2024
https://doi.org/10.17517/ksutfd.1309909

Öz

Amaç: Bu bilimsel çalışma, gestasyonel diyabetli (GDM) ve GDM’li olmayan besin tüketim sıklıklarının sosyal jetlag (SJL) üzerindeki etkisinin değerlendirilmesi adına beslenme durumunun ve gebeliğe ait antropometrik özelliklerini belirlemek amaçlanmıştır.
Gereç̧ ve Yöntemler: Bu çalışma Başkent Üniversitesi Ankara Hastanesi Kadın Doğum Polikliniği’nde izlenen gönüllü 28 GDM’li olmayan (kontrol) ve 28 GDM’li (vaka) gebe kadın olmak üzere toplam 56 gebe üzerinde yürütülmüştür. Klinikte, jinekologlar tarafından takibi yapılan gebelerin genel özellikleri, besin tüketimleri, beslenme durumları, SJL durumları ve oral glukoz tolerans testi (OGTT) sonuçları değerlendirilmiştir. p değeri <0,05 istatistiksel olarak anlamlı kabul edilmiştir.
Bulgular: Ortaokul ve altı olan grupta; GDM olanların olmayanlara göre yüksek olduğu görülmüştür (p=0,001). Üniversite ve üstü olan grupta; GDM olanların olmayanlara göre düşük olduğu görülmüştür (p=0,001). SJL durumu ile pregestasyonel beden kütle indeksi (BKİ) arasında istatistiksel olarak anlamlı ilişki bulunmazken GDM varlığı ile pregestasyonel BKİ arasında istatistiksel açıdan önemli bir fark saptanmıştır (p>0,05; p=0,001). GDM’lilerin diyetle günlük ortalama fruktoz, sükroz ve omega-3 yağ asidi alımının, non-GDM’lilere göre düşük olması istatistiksel olarak anlamlı bulunmuştur (sırasıyla p=0,007; 0,001; 0,008). GDM ve non-GDM’liler grup içinde değerlendirildiğinde SJL <1 grubunun diyetle günlük ortalama omega-3 yağ asidi alımının, SJL1 olanlara göre yüksektir.
Sonuç̧: Bu çalışmada, GDM oluşumunda diyet içeriği (enerji ve makro besin ögeleri), gebelik sürecinde kazanılan ağırlık ve pregestasyonel BKİ’nin önemli etkisi olduğu sonucuna ulaşılmıştır. GDM’nin önlenmesinde ve tedavisinde prenatal dönemde ve gebelik sürecinde obezitenin kontrol edilmesi ile sağlıklı beslenmenin ve diyet tedavisinin önemli rolü bulunmaktadır.

Kaynakça

  • Plows JF, Stanley J, Baker P, Reynolds C, Vickers M. The pathophysiology of gestational diabetes mellitus. Int J Mol Sci. 2018;19:3342.
  • Mor G, Cardenas I. The immune system in pregnancy: a unique complexity. Am. J. Reprod. Immunol. 2010;63:425–433.
  • International Diabetes Federation. IDF Diabetes Atlas, 9th ed. Brussels, Belgium: International Diabetes Federation, 2019.
  • Zhang C, Rawal S, Chong YS. Risk factors for gestational diabetes: Is prevention possible? Diabetologia. 2016;59:1385–1390.
  • Plows JF, Stanley JL, Baker PN, Reynolds CM, Vickers MH. The Pathophysiology of Gestational Diabetes Mellitus. Int J Mol Sci. 2018;19(11):3342.
  • Tsai SY, Lee PL, Lin JW, Lee CN. Cross-sectional and longitudinal associations between sleep and health-related quality of life in pregnant women: A prospective observational study. Int. J. Nurs. Stud. 2016;56:45–53.
  • Ko SH, Chang SC, Chen CH. A comparative study of sleep quality between pregnant and nonpregnant Taiwanese women. J. Nurs. Scholarsh. 2010;42(1):23–30.
  • Hung HM, Tsai PS, Ko SH, Chen CH. Patterns and predictors of sleep quality in Taiwanese pregnant women. MCNAm. J. Matern. Child Nurs. 2013;38(2):95–101.
  • Pien GW, Schwab RJ. Sleep disorders during pregnancy. Sleep. 2004;27(7):1405–1417.
  • Sivertsen B, Hysing M, Dørheim SK, Eberhard-Gran M. Trajectories of maternal sleep problems before and after childbirth: a longitudinal population-based study. BMC Pregnancy Childbirth. 2015;2(15):129.
  • Wittmann M, Dinich J, Merrow M, Roenneberg T. Social jetlag: Misalignment of biological and social time. Chronobiol. Int. 2006;23:497–509.
  • Roenneberg T, Allebrandt KV, Merrow M, Vetter C. Social jetlag and obesity. Curr. Biol. 2012;22(10):939–943.
  • Parsons MJ, Moffitt TE, Gregory AM, Goldman-Mellor S, Nolan PM, Poulton R, et al. Social jetlag, obesity and metabolic disorder: investigation in a cohort study. Int.J.Obes.(Lond.). 2015;39(5):842–848.
  • Koopman ADM, Rauh SP, van’t Riet E, Groeneveld L, van der Heijden AA, Elders Dekker JM, et al. The association between social jetlag, the metabolic syndrome, and type 2 diabetes mellitus in the general population: The New Hoorn study. J. Biol. Rhythms. 2017;32(4): 359-368.
  • Rutters F, Lemmens SG, Adam TC, Bremmer MA, Elders PJ, Nijpels G, et al. Is social jetlag associated with an adverse endocrine, behavioral, and cardiovascular risk profile? J.Biol.Rhythms. 2014;29(5):377–383.
  • Kantermann T, Duboutay F, Haubruge D, Kerkhofs M, Schmidt-Trucksass A, Skene DJ. Atherosclerotic risk and social jetlag in rotating shift workers: first evidence from a pilot study. Work. 2013;46(3):273–282.
  • Wong PM, Hasler BP, Kamarck TW, Muldoon MF, Manuck SB. Social jetlag, chronotype, and cardiometabolic risk. J. Clin. Endocrinol. Metab. 2015;100(12):4612–4620.
  • Tibiletti Balieiro LC, Gontijo CA, Pereira Marot L, Teixeira GP, Fahmy WM, Moreno CR, et al. Circadian misalignment measured by social jetlag from early to late pregnancy and its association with nutritional status: a longitudinal study. Scientific Reports. 2021;11:18678.
  • Hashemipour S, Lalooha F, Ghorbani A, Nozari FH, Badri M, Abbaslou MA, et al. Association of social jetlag with gestational diabetes: Qazvin Maternal and Neonatal Metabolic Study. The Journal of Biological and Medical Rhythm Research. 2022;39(9):1226–1232.
  • Rakıcıoğlu N, Tek NA, Ayaz A. Yemek ve besin Fotoğraf kataloğu. 7’inci baskı. Ankara: Hacettepe Üniversitesi Sağlık Bilimleri Fakültesi Beslenme ve Diyetetik Bölümü, 2017.
  • International Association of Diabetes and Pregnancy Study Groups consensus panel (IADPSG). International Association of Diabetes and Pregnancy Study Group's recommendations on the diagnosis and classification of hyperglycemia in pregnancy. Diabetes Care. 2010;33(3):676–82.
  • Committee on Practice Bulletins-Obstetrics. ACOG Practice Bulletin No. 1: gestational diabetes mellitus. Obstet Gynecol. 2018;131(2):e49–64.
  • Hedderson MM, Ferrara A. High blood pressure before and during early pregnancy is associated with an increased risk of gestational diabetes mellitus. Diabetes Care. 2008;31:2362–2367.
  • Mohamed IE, Saleh IM. Dietary Awareness of Saudi Women with Gestational Diabetes.Food and Public Health. 2013;3(6):341-345
  • Ali HI, Jarrar AH, El Sadig M, Yeatts KB. Diet and Carbohydrate Food Knowledge of Multi-Ethnic Women: A Comparative Analysis of Pregnant Women with and without Gestational Diabetes Mellitus. PLoS One. 2013;8(9):e73486.
  • Institute of Medicine (US) and National Research Council (US) Committee to Reexamine IOM Pregnancy Weight Guidelines. Weight Gain During Pregnancy: Reexamining the Guidelines. Rasmussen KM, Yaktine AL, editors. Washington (DC): National Academies Press (US);2009.
  • Xie X, Liu J, Pujol I, López A, Martínez MJ, García-Patterson A, et al. Inadequate Weight Gain According to the Institute of Medicine 2009 Guidelines in Women with Gestational Diabetes: Frequency, Clinical Predictors, and the Association with Pregnancy Outcomes. J Clin Med. 2020;9(10):3343.
  • Farrar D, Duley L, Dowswell T, Lawlor DA. Different strategies for diagnosing gestational diabetes to improve maternal and infant health. Cochrane Database of Systematic Reviews. 2017;8:CD007122.
  • Diabetes in pregnancy: management from preconception to the postnatal period. London: National Institute for Health and Care Excellence (NICE); 2015. (NICE Guideline, No. 3.
  • Yeral MI, Ozgu-Erdinc AS, Uygur D, Seckin KD, Karsli MF, Danisman AN. Prediction of gestational diabetes mellitus in the first trimester, comparison of fasting plasma glucose, two-step, and one-step methods: a prospective randomized controlled trial. Endocrine. 2014;46(3):512-518.
  • Alwash SM, McIntyre HD, Mamun A. The association of general obesity, central obesity, and visceral body fat with the risk of gestational diabetes mellitus: Evidence from a systematic review and meta-analysis. Obes Res Clin Pract. 2021;15(5):425-430.
  • Gao X, Yan Y, Xiang S, Zeng G, Liu S, Sha T, et al. The mutual effect of pre-pregnancy body mass index, waist circumference and gestational weight gain on obesity-related adverse pregnancy outcomes: A birth cohort study. PLoS One. 2017;12:e0177418.
  • Takmaz T, Yalvac ES, Ozcan P, Coban U, Gokmen Karasu AF, et al. The predictive value of weight gain and waist circumference for gestational diabetes mellitus. Turk J Obstet Gynecol. 2019;16:199–204.
  • Zhang S, Folsom AR, Flack JM, Liu K. Body fat distribution before pregnancy and gestational diabetes: findings from coronary artery risk development in young adults (CARDIA) study. BMJ. 1995;311:1139–40.
  • Yang SH, Kim C, An HS, An H, Lee JS. Prediction of gestational diabetes mellitus in pregnant Korean women based on abdominal subcutaneous fat thickness as measured by ultrasonography. Diabetes Metab J. 2017;41:486–91.
  • Harville EW, Juonala M, Viikari JS, Raitakari OT. Preconception metabolic indicators predict gestational diabetes and offspring birthweight. Gynecol Endocrinol. 2014;30:840–4.
  • Kennedy NJ, Peek MJ, Quinton AE, Lanzarone V, Martin A, Benzie R, et al. Maternal abdominal subcutaneous fat thickness as a predictor for adverse pregnancy outcome: a longitudinal cohort study. Bjog Int J Obstet Gynaecol. 2016;123:225–32.
  • Gur EB, Ince O, Turan GA, Karadeniz M, Tatar S, Celik E, et al. Ultrasonographic visceral fat thickness in the first trimester can predict metabolic syndrome and gestational diabetes mellitus. Endocrine. 2014;47:478–84.
  • Suresh A, Liu A, Poulton A, Quinton A, Amer Z, Mongelli M, et al. Comparison of maternal abdominal subcutaneous fat thickness and body mass index as markers for pregnancy outcomes: a stratified cohort study. Aust N Z J Obstet Gynaecol. 2012;52:420–6.
  • Harville EW, Juonala M, Viikari JS, Raitakari OT. Preconception metabolic indicators predict gestational diabetes and offspring birthweight. Gynecol Endocrinol. 2014;30:840–4.
  • Kennedy NJ, Peek MJ, Quinton AE, Lanzarone V, Martin A, Benzie R, et al. Maternal abdominal subcutaneous fat thickness as a predictor for adverse pregnancy outcome: a longitudinal cohort study. Bjog Int J Obstet Gynaecol. 2016;123:225–32.
  • Gur EB, Ince O, Turan GA, Karadeniz M, Tatar S, Celik E, et al. Ultrasonographic visceral fat thickness in the first trimester can predict metabolic syndrome and gestational diabetes mellitus. Endocrine. 2014;47:478–84.
  • Liu Y, Wei Y, Wu L, Lin X, Sun R, Chen H, et al. Fructose Induces Insulin Resistance of Gestational Diabetes Mellitus in Mice via the NLRP3 Inflammasome Pathway. Front Nutr. 2022;9:839174.
  • Bantle JP, Wylie-Rosett J, Albright AL, Apovian CM, Clark NG, Franz MJ, et al. Nutrition recommendations and interventions for diabetes: a position statement of the American Diabetes Association. Diabetes care. 2008;31(1):61-78.
  • Oh DY, Talukdar S, Bae EJ, Imamura T, Morinaga H, Fan W, et al. GPR120 is an Omega-3 Fatty Acid Receptor Mediating Potent Anti-Inflammatory and Insulin Sensitizing Effects. Cell. 2010;142(5):687–698.
  • Institute of Medicine. Dietary Reference Intakes: The Essential Guide to Nutrient Requirements; The National Academies Press: Washington, DC, USA, 2006; p. 1344.

Investigation of Social Jetlag and Nutritional Status of Gestational Diabetes Mellitus

Yıl 2024, Cilt: 19 Sayı: 2, 40 - 48, 22.07.2024
https://doi.org/10.17517/ksutfd.1309909

Öz

Objective: This scientific study aimed to determine the nutritional status and anthropometric characteristics of pregnancy to evaluate the effect of the frequency of food consumption with and without GDM on social jetlag (SJL).
Material and Methods: This study was conducted on 56 pregnant women, 28 volunteers without GDM (control), and 28 pregnant women with GDM (cases), who were followed up in Baskent University Ankara Hospital Obstetrics and Gynecology Outpatient Clinic. General characteristics, food consumption, nutritional status, SJL status, and oral glucose tolerance test (OGTT) results of pregnant women followed up by gynecologists in the clinic were evaluated. P value <0.05 was considered statistically significant.
Results: A statistically significant negative correlation was found between GDM status and education level (p<0.05). While there was no statistically significant relationship between SJL status and pre-gestational BMI, a statistically significant difference was found between GDM status and pre-gestational BMI (p>0.05; p<0.05). It was found statistically significant that the daily average intake of fructose, sucrose, and omega-3 fatty acids in GDM patients was lower than in non-GDM patients (p<0.05). When the GDM and non-GDM patients were evaluated within the group, the daily mean omega-3 fatty acid intake of the SJL <1 group was higher than the SJL³1 group (p<0.05).
Conclusion: In this study, it was concluded that diet content (energy and macronutrients), weight gained during pregnancy, and pre-gestational BMI have a significant effect on the formation of GDM. Controlling obesity in the prenatal period and during pregnancy, and healthy nutrition and diet therapy have an important role in preventing and treating GDM.

Kaynakça

  • Plows JF, Stanley J, Baker P, Reynolds C, Vickers M. The pathophysiology of gestational diabetes mellitus. Int J Mol Sci. 2018;19:3342.
  • Mor G, Cardenas I. The immune system in pregnancy: a unique complexity. Am. J. Reprod. Immunol. 2010;63:425–433.
  • International Diabetes Federation. IDF Diabetes Atlas, 9th ed. Brussels, Belgium: International Diabetes Federation, 2019.
  • Zhang C, Rawal S, Chong YS. Risk factors for gestational diabetes: Is prevention possible? Diabetologia. 2016;59:1385–1390.
  • Plows JF, Stanley JL, Baker PN, Reynolds CM, Vickers MH. The Pathophysiology of Gestational Diabetes Mellitus. Int J Mol Sci. 2018;19(11):3342.
  • Tsai SY, Lee PL, Lin JW, Lee CN. Cross-sectional and longitudinal associations between sleep and health-related quality of life in pregnant women: A prospective observational study. Int. J. Nurs. Stud. 2016;56:45–53.
  • Ko SH, Chang SC, Chen CH. A comparative study of sleep quality between pregnant and nonpregnant Taiwanese women. J. Nurs. Scholarsh. 2010;42(1):23–30.
  • Hung HM, Tsai PS, Ko SH, Chen CH. Patterns and predictors of sleep quality in Taiwanese pregnant women. MCNAm. J. Matern. Child Nurs. 2013;38(2):95–101.
  • Pien GW, Schwab RJ. Sleep disorders during pregnancy. Sleep. 2004;27(7):1405–1417.
  • Sivertsen B, Hysing M, Dørheim SK, Eberhard-Gran M. Trajectories of maternal sleep problems before and after childbirth: a longitudinal population-based study. BMC Pregnancy Childbirth. 2015;2(15):129.
  • Wittmann M, Dinich J, Merrow M, Roenneberg T. Social jetlag: Misalignment of biological and social time. Chronobiol. Int. 2006;23:497–509.
  • Roenneberg T, Allebrandt KV, Merrow M, Vetter C. Social jetlag and obesity. Curr. Biol. 2012;22(10):939–943.
  • Parsons MJ, Moffitt TE, Gregory AM, Goldman-Mellor S, Nolan PM, Poulton R, et al. Social jetlag, obesity and metabolic disorder: investigation in a cohort study. Int.J.Obes.(Lond.). 2015;39(5):842–848.
  • Koopman ADM, Rauh SP, van’t Riet E, Groeneveld L, van der Heijden AA, Elders Dekker JM, et al. The association between social jetlag, the metabolic syndrome, and type 2 diabetes mellitus in the general population: The New Hoorn study. J. Biol. Rhythms. 2017;32(4): 359-368.
  • Rutters F, Lemmens SG, Adam TC, Bremmer MA, Elders PJ, Nijpels G, et al. Is social jetlag associated with an adverse endocrine, behavioral, and cardiovascular risk profile? J.Biol.Rhythms. 2014;29(5):377–383.
  • Kantermann T, Duboutay F, Haubruge D, Kerkhofs M, Schmidt-Trucksass A, Skene DJ. Atherosclerotic risk and social jetlag in rotating shift workers: first evidence from a pilot study. Work. 2013;46(3):273–282.
  • Wong PM, Hasler BP, Kamarck TW, Muldoon MF, Manuck SB. Social jetlag, chronotype, and cardiometabolic risk. J. Clin. Endocrinol. Metab. 2015;100(12):4612–4620.
  • Tibiletti Balieiro LC, Gontijo CA, Pereira Marot L, Teixeira GP, Fahmy WM, Moreno CR, et al. Circadian misalignment measured by social jetlag from early to late pregnancy and its association with nutritional status: a longitudinal study. Scientific Reports. 2021;11:18678.
  • Hashemipour S, Lalooha F, Ghorbani A, Nozari FH, Badri M, Abbaslou MA, et al. Association of social jetlag with gestational diabetes: Qazvin Maternal and Neonatal Metabolic Study. The Journal of Biological and Medical Rhythm Research. 2022;39(9):1226–1232.
  • Rakıcıoğlu N, Tek NA, Ayaz A. Yemek ve besin Fotoğraf kataloğu. 7’inci baskı. Ankara: Hacettepe Üniversitesi Sağlık Bilimleri Fakültesi Beslenme ve Diyetetik Bölümü, 2017.
  • International Association of Diabetes and Pregnancy Study Groups consensus panel (IADPSG). International Association of Diabetes and Pregnancy Study Group's recommendations on the diagnosis and classification of hyperglycemia in pregnancy. Diabetes Care. 2010;33(3):676–82.
  • Committee on Practice Bulletins-Obstetrics. ACOG Practice Bulletin No. 1: gestational diabetes mellitus. Obstet Gynecol. 2018;131(2):e49–64.
  • Hedderson MM, Ferrara A. High blood pressure before and during early pregnancy is associated with an increased risk of gestational diabetes mellitus. Diabetes Care. 2008;31:2362–2367.
  • Mohamed IE, Saleh IM. Dietary Awareness of Saudi Women with Gestational Diabetes.Food and Public Health. 2013;3(6):341-345
  • Ali HI, Jarrar AH, El Sadig M, Yeatts KB. Diet and Carbohydrate Food Knowledge of Multi-Ethnic Women: A Comparative Analysis of Pregnant Women with and without Gestational Diabetes Mellitus. PLoS One. 2013;8(9):e73486.
  • Institute of Medicine (US) and National Research Council (US) Committee to Reexamine IOM Pregnancy Weight Guidelines. Weight Gain During Pregnancy: Reexamining the Guidelines. Rasmussen KM, Yaktine AL, editors. Washington (DC): National Academies Press (US);2009.
  • Xie X, Liu J, Pujol I, López A, Martínez MJ, García-Patterson A, et al. Inadequate Weight Gain According to the Institute of Medicine 2009 Guidelines in Women with Gestational Diabetes: Frequency, Clinical Predictors, and the Association with Pregnancy Outcomes. J Clin Med. 2020;9(10):3343.
  • Farrar D, Duley L, Dowswell T, Lawlor DA. Different strategies for diagnosing gestational diabetes to improve maternal and infant health. Cochrane Database of Systematic Reviews. 2017;8:CD007122.
  • Diabetes in pregnancy: management from preconception to the postnatal period. London: National Institute for Health and Care Excellence (NICE); 2015. (NICE Guideline, No. 3.
  • Yeral MI, Ozgu-Erdinc AS, Uygur D, Seckin KD, Karsli MF, Danisman AN. Prediction of gestational diabetes mellitus in the first trimester, comparison of fasting plasma glucose, two-step, and one-step methods: a prospective randomized controlled trial. Endocrine. 2014;46(3):512-518.
  • Alwash SM, McIntyre HD, Mamun A. The association of general obesity, central obesity, and visceral body fat with the risk of gestational diabetes mellitus: Evidence from a systematic review and meta-analysis. Obes Res Clin Pract. 2021;15(5):425-430.
  • Gao X, Yan Y, Xiang S, Zeng G, Liu S, Sha T, et al. The mutual effect of pre-pregnancy body mass index, waist circumference and gestational weight gain on obesity-related adverse pregnancy outcomes: A birth cohort study. PLoS One. 2017;12:e0177418.
  • Takmaz T, Yalvac ES, Ozcan P, Coban U, Gokmen Karasu AF, et al. The predictive value of weight gain and waist circumference for gestational diabetes mellitus. Turk J Obstet Gynecol. 2019;16:199–204.
  • Zhang S, Folsom AR, Flack JM, Liu K. Body fat distribution before pregnancy and gestational diabetes: findings from coronary artery risk development in young adults (CARDIA) study. BMJ. 1995;311:1139–40.
  • Yang SH, Kim C, An HS, An H, Lee JS. Prediction of gestational diabetes mellitus in pregnant Korean women based on abdominal subcutaneous fat thickness as measured by ultrasonography. Diabetes Metab J. 2017;41:486–91.
  • Harville EW, Juonala M, Viikari JS, Raitakari OT. Preconception metabolic indicators predict gestational diabetes and offspring birthweight. Gynecol Endocrinol. 2014;30:840–4.
  • Kennedy NJ, Peek MJ, Quinton AE, Lanzarone V, Martin A, Benzie R, et al. Maternal abdominal subcutaneous fat thickness as a predictor for adverse pregnancy outcome: a longitudinal cohort study. Bjog Int J Obstet Gynaecol. 2016;123:225–32.
  • Gur EB, Ince O, Turan GA, Karadeniz M, Tatar S, Celik E, et al. Ultrasonographic visceral fat thickness in the first trimester can predict metabolic syndrome and gestational diabetes mellitus. Endocrine. 2014;47:478–84.
  • Suresh A, Liu A, Poulton A, Quinton A, Amer Z, Mongelli M, et al. Comparison of maternal abdominal subcutaneous fat thickness and body mass index as markers for pregnancy outcomes: a stratified cohort study. Aust N Z J Obstet Gynaecol. 2012;52:420–6.
  • Harville EW, Juonala M, Viikari JS, Raitakari OT. Preconception metabolic indicators predict gestational diabetes and offspring birthweight. Gynecol Endocrinol. 2014;30:840–4.
  • Kennedy NJ, Peek MJ, Quinton AE, Lanzarone V, Martin A, Benzie R, et al. Maternal abdominal subcutaneous fat thickness as a predictor for adverse pregnancy outcome: a longitudinal cohort study. Bjog Int J Obstet Gynaecol. 2016;123:225–32.
  • Gur EB, Ince O, Turan GA, Karadeniz M, Tatar S, Celik E, et al. Ultrasonographic visceral fat thickness in the first trimester can predict metabolic syndrome and gestational diabetes mellitus. Endocrine. 2014;47:478–84.
  • Liu Y, Wei Y, Wu L, Lin X, Sun R, Chen H, et al. Fructose Induces Insulin Resistance of Gestational Diabetes Mellitus in Mice via the NLRP3 Inflammasome Pathway. Front Nutr. 2022;9:839174.
  • Bantle JP, Wylie-Rosett J, Albright AL, Apovian CM, Clark NG, Franz MJ, et al. Nutrition recommendations and interventions for diabetes: a position statement of the American Diabetes Association. Diabetes care. 2008;31(1):61-78.
  • Oh DY, Talukdar S, Bae EJ, Imamura T, Morinaga H, Fan W, et al. GPR120 is an Omega-3 Fatty Acid Receptor Mediating Potent Anti-Inflammatory and Insulin Sensitizing Effects. Cell. 2010;142(5):687–698.
  • Institute of Medicine. Dietary Reference Intakes: The Essential Guide to Nutrient Requirements; The National Academies Press: Washington, DC, USA, 2006; p. 1344.
Toplam 46 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Sağlık Kurumları Yönetimi
Bölüm Araştırma Makaleleri
Yazarlar

Deniz Çatar 0000-0002-3857-7150

Sinem Bayram 0000-0003-1569-7747

Erken Görünüm Tarihi 11 Temmuz 2024
Yayımlanma Tarihi 22 Temmuz 2024
Gönderilme Tarihi 5 Haziran 2023
Kabul Tarihi 26 Eylül 2023
Yayımlandığı Sayı Yıl 2024 Cilt: 19 Sayı: 2

Kaynak Göster

AMA Çatar D, Bayram S. Gestasyonel Diyabeti Olan ve Olmayan Gebelerin Sosyal Jetlag ve Beslenme Durumunun İncelenmesi. KSÜ Tıp Fak Der. Temmuz 2024;19(2):40-48. doi:10.17517/ksutfd.1309909