The Relationship of Maternal Age on Gestational Diabetes

Diabetes Care ◽  
1985 ◽  
Vol 8 (6) ◽  
pp. 598-600 ◽  
Author(s):  
K. F. McFarland ◽  
C. A. Case
Keyword(s):  
Gestational Diabetes ◽  
Maternal Age ◽  
Relationship Of ◽  
The Relationship

scholarly journals Hubungan Faktor Maternal terhadap Posisi pada Waktu Persalinan Kala II dengan Kejadian Ruptur Perineum

2020 ◽  
Vol 2 (1) ◽  
pp. 31-36
Author(s):  
Wa Ode Hajrah ◽  
Niken Purbowati ◽  
Novia Nuraini
Keyword(s):  
Maternal Age ◽  
Statistical Tests ◽  
Reproductive Organs ◽  
P Value ◽  
Chi Square ◽  
Cross Sectional ◽  
Second Stage ◽  
Second Stage Labor ◽  
Relationship Of ◽  
The Relationship

erineal rupture needs attention because it can cause dysfunction of the female reproductive organs, as a source of bleeding, a source, or a way in and out of infection, then it can cause death due to bleeding or sepsis. About 85% of Women who delivery vaginally experience perineal rupture, in the age group 25-30 years 24%, while in maternal age 32-39 years by 62%. In Asia, perineal rupture is also a problem in society, 50 % of the world's occurrence is in Asia. The study aims to determine the relationship of maternal factors to the position of the second stage labor and perineal rupture occurrence. This research applied a descriptive-analytic method using a cross-sectional research design. The research sample was 102 respondents, accidental random sampling, which was all labor with perineal rupture in July to November 2018. Statistical tests used chi-square. The results of perineal rupture with maternal age was p-value 0.042 (p <0.05), perineal rupture with maternal parity was p-value 0.01 (p <0.05). Suggestions for various maternal positions in maternity and ANC classes to prevent perineal rupture.

Maternal age affects the relationship of basal FSH and AMH levels with post-ICSI/IVF live birth

2020 ◽  
Author(s):  
Jose Buratini ◽  
Mariabeatrice Dal Canto ◽  
Elena De Ponti ◽  
Fausta Brambillasca ◽  
Claudio Brigante ◽  
...  
Keyword(s):  
Live Birth ◽  
Maternal Age ◽  
Relationship Of ◽  
The Relationship

scholarly journals The relationship of flavonoid intake during pregnancy with excess body weight and gestational diabetes mellitus

2019 ◽  
Author(s):  
Mariana de Andrade Balbi ◽  
Lívia Castro Crivellenti ◽  
Daniela Cristina Candelas Zuccolotto ◽  
Laércio Joel Franco ◽  
Daniela Saes Sartorelli
Keyword(s):  
Diabetes Mellitus ◽  
Body Weight ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Excess Body Weight ◽  
Flavonoid Intake ◽  
Relationship Of ◽  
The Relationship

The role of intestinal microbiota in the development of complications in pregnant women with gestational diabetes

2020 ◽  
Vol 69 (4) ◽  
pp. 41-50
Author(s):  
Tatyana A. Zinina ◽  
Alyona V. Tiselko ◽  
Maria I. Yarmolinskaya
Keyword(s):  
Gestational Diabetes ◽  
Intestinal Microbiota ◽  
European Population ◽  
Very Low Density Lipoproteins ◽  
Basic Functions ◽  
Complicated Pregnancy ◽  
Relationship Of ◽  
The Relationship ◽  
Circulating Levels

Gestational diabetes mellitus (GDM) has been declared as one of the pandemics of our time and its prevalence is 520% in the European population. It causes the search for new pathogenetic risk factors in order to develop effective measures for the prevention and treatment of this disease. The intestinal microbiota plays an important role in maintaining the basic functions in the human body metabolic, protective and trophic, and it undergoes significant changes during pregnancy. It has now been proven that dysbiosis alters intestinal metabolism and can lead to the development of diabetes. The direct relationships between intestinal microflora species and circulating levels of insulin, triglycerides and very-low-density lipoproteins were found. In a number of studies, associations of various concentrations of intestinal microbiota metabolites with the probability of developing GDM were analyzed. Studies conducted in a group of women with complicated pregnancy revealed changes in the diversity and structure of the intestinal microbiota in women with preeclampsia and arterial hypertension. Therefore, all authors emphasize the need for studies that expand our understanding of the relationship of various intestinal microbiota disorders with the risk of developing GDM and its specific progressing.

scholarly journals IDENTIFIKASI VARIABEL CONFOUNDING DENGAN PENERAPAN UJI CHI SQUARE MANTEL HAENSZEL PADA HUBUNGAN ANTENATAL CARE (ANC) TERHADAP BBLR DI KOTA SAMARINDA

2019 ◽  
Vol 10 (1) ◽  
pp. 21-31
Author(s):  
Hasmawati Hasmawati ◽  
Ike Anggraeni ◽  
Rahmi Susanti
Keyword(s):  
Antenatal Care ◽  
Maternal Age ◽  
Case Control ◽  
P Value ◽  
Chi Square ◽  
East Kalimantan ◽  
Confounding Variables ◽  
Before And After ◽  
Relationship Of ◽  
The Relationship

Abstract Background: Confounding is a very important issue to consider because its presence can affect the p-value and the magnitude of the risk that can cause errors in decision making. The Mantel Haenszel is used when there are one or more confounding variables, which can be applied to public health problems such as the incidence of LBW which has many risk factors such as antenatal care (ANC), maternal age, parity, and anaemia. Objective: To identify confounding variables in the ANC relationship with LBW. Method: Nonreactive research with a case-control design. The sample was 305 (61 cases; 244 controls), in 3 Samarinda City Health Centers and sourced from the 2016-2017 maternal cohort registered, East Kalimantan. Results: Maternal age was confounding in the relationship of ANC to LBW (ΛOR 12.29%) whereas parity (ΛOR 1.65%) and anaemia (ΛOR 0,64%) didn’t become confounding. Conclusion: ANC has a significant relationship with the incidence of LBW without or accompanied by confounding variables. Parity and anemia are not as confounding whereas maternal age is influential confounding which is marked by changes in OR before and after considering external variables. Thus, more intensive pregnancy care is needed more mothers who are it too young and or too old. Key words: Confounding, Mantel Haenszel, Low Birth Weight, Maternal age   Abstrak Latar belakang: Confounding merupakan isu yang penting untuk diperhatikan, karena kehadirannya dapat mempengaruhi p value dan besaran risiko yang dapat menyebabkan kesalahan dalam pengambilan keputusan. Mantel Haenszel digunakan bila terdapat satu atau lebih variabel confounding, yang dapat diterapkan pada permasalahan kesehatan masyarakat secara global seperti kejadian Berat Badan lahir Rendah (BBLR) yang banyak memiliki faktor risiko seperti ANC dan faktor risiko BBLR lain seperti usia ibu, paritas dan anemia Tujuan: Mengidentifikasi variabel confounding pada hubungan Antenatal Care dengan BBLR. Metode: Non reactive research dengan desain case control. Sampel berjumlah 305 (kasus 61; kontrol 244) di 3 Puskesmas Kota Samarinda dan bersumber dari register kohort ibu tahun 2016-2017. Penelitian ini menggunakan dua cara analisis yaitu analisis univariat dan bivariat dengan uji statistik Chi Square dan dilanjut identifikasi variabel confounding dengan Chi Square Mantel Haenszel. Hasil: Usia ibu ( menjadi confounding dalam hubungan ANC terhadap BBLR, sedangkan paritas (  dan anemia (  bukan  menjadi confounding. Kesimpulan: ANC memiliki hubungan bermakna dengan kejadian BBLR tanpa atau disertai variabel confounding. Paritas dan anemia bukan sebagai confounding, sedangkan usia ibu memberikan pengaruh (confounding). Dengan demikian, perlu perawatan kehamilan yang lebih intensif kepada ibu dengan usia terlalu muda/usia terlalu tua.   Kata kunci: Confounding, Mantel Haenszel, BBLR, Usia Ibu

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