scholarly journals The Correlation Between Nutritional Status And Urine Glucose With Estimated Fetal Weight In Trimester III Pregnant Women At Prima Husada Hospital

2021 ◽  
Vol 14 (02) ◽  
pp. 90-96
Author(s):  
Nur Masruroh ◽  
Andreas Putro Ragil Santoso

The nutritional status of a pregnant woman can be seen from several things, including the Body Mass Index and the diameter of the upper arm circumference. Urine glucose describes the state of glucose in urine. The well-being of a baby in the womb can be measured through the estimated fetal weight according to the gestational age. This study aims to determine the relationship between nutritional status and urine glucose on the estimated fetal weight. Using a cross sectional research method with a sample of 30 respondents taken at the Prima Husada Hospital Sidoarjo during May-July 2020. The results of the analysis of body mass index and estimated fetal weight obtained p value = 0.337 (> 0.05), on the upper arm circumference and estimates fetal weight obtained p value = 0.03 (<0.05) and in urine glucose and fetal weight estimates obtained p value = 0.19 (> 0.05). In conclusion, there is no relationship between body mass index and estimated fetal weight. There is a relationship between the circumference of the upper arm and the estimated fetal weight. And there is no relationship between urine glucose and estimated fetal weight. Women must prepare physically from before pregnancy to optimize future baby growth. Midwives must also regularly provide health education to improve women's health status

2016 ◽  
Vol 4 (2) ◽  
Author(s):  
Okky Kumesan ◽  
Shane H.R. Ticoalu ◽  
Taufiq F. Pasiak

Abstract: Obesity is defined as abnormal or excessive fat accumulation which detrimental to health. In 2014, more than 1.9 billion adults are overweight and over 600 million of them are obese. Various methods of anthropometry can be used to determine the occurrence of obesity, these methods include measurement of body mass index (BMI), waist circumference, hip circumference, arm circumference and neck circumference, body mass index mostly used as an indicator of obesity to estimate the body fat composition. Based on research conducted by Lu et al in China, upper arm circumference has been one of the indicators to identify overweight and obesity in children aged 7-12 years. Objective: To determine the relation between upper arms circumference with obesity of students in Faculty of Medicine, Universitas Sam Ratulangi. Method: This research is descriptive analytic observational study conducted in February 2016. The samples were students of the Faculty of Medicine, University of Sam Ratulangi, class 2013, 2014, 2015, who were eligible. The data was obtained by the measurement of upper arm circumference, weight, and height that used in the method of body mass index. Result: The samples in this research were 63 people consisting of 35 men and 28 women with an average age is 19 years old. On BMI measurements obtained an average male’s BMI is 29.8 kg/m2 and women’s BMI is 28.6 kg/m2. On the measurements of upper arm, the average male’s upper arm is 33,6cm and women’s upper arm is 30,7cm. Spearman correlation values between the Upper Arm Circumference and BMI for the all sample is 0,711. Conclusion: There is strong correlations between the Upper Arm Circumference (MUAC) with obesity that were measured with Body Mass Index (BMI).Keywords: obesity, body mass index, upper arm circumference, student Abstrak: Obesitas didefinisikan sebagai akumulasi lemak abnormal atau berlebihan yang dapat menggangu kesehatan. Pada tahun 2014, lebih dari 1,9 miliar orang dewasa mengalami kelebihan berat badan dan lebih dari 600 juta orang diantaranya mengalami obesitas. Berbagai macam metode antropometri dapat digunakan untuk mengetahui terjadinya obesitas, metode-metode tersebut antara lain pengukuran indeks masa tubuh (IMT), lingkar pinggang, lingkar pinggul, lingkar lengan, serta lingkar leher, indeks masa tubuh merupakan indikator kegemukan yang banyak dilakukan untuk memperkirakan komposisi lemak tubuh. Berdasarkan penelitian yang dilakukan oleh Lu dkk di Cina, lingkar lengan atas telah merupakan salah satu indikator untuk mengidentifikasi berat badan lebih dan obesitas pada anak-anak usia 7-12 tahun. Penelitian ini bertujuan untuk mengetahui hubungan antara lingkar lengan atas dengan terjadinya obesitas pada mahasiswa Fakultas Kedokteran Universitas Sam Ratulangi. Penelitian ini merupakan jenis penelitian deskriptif observasional analitik yang dilaksanakan pada bulan Februari 2016. Sampel penelitian adalah mahasiswa Fakultas Kedokteran Universitas Sam Ratulangi, angkatan 2013, 2014, 2015 yang memenuhi kriteria. Data penelitian didapatkan melalui pengukuran lingkar lengan atas, berat badan, serta tinggi badan yang digunakan dalam metode indeks masa tubuh. Pada penelitian ini didapatkan sampel sebanyak 63 orang yang terdiri dari 35 orang laki-laki dan 28 orang perempuan dengan rata-rata umur sampel 19 tahun. Pada pengukuran IMT didapatkan rata-rata IMT laki-laki 29,8 kg/m2 dan IMT Perempuan 28,6 kg/m2. Pada pengukuran LiLA didapatkan rata-rata LiLA laki-laki 33,6 cm dan LiLA perempuan 30,7 cm. Nilai korelasi Spearman antara Lingkar Lengan Atas dan IMT untuk seluruh sampel sebesar 0,711. Simpulan: Didapatkan hubungan yang kuat antara Lingkar Lengan Atas (LiLA) dengan obesitas yang diukur meggunakan Indeks Massa Tubuh (IMT)Kata kunci: obesitas, indeks masa tubuh, lingkar lengan atas, mahasiwa


2012 ◽  
Vol 7 (2) ◽  
pp. 83
Author(s):  
Diny Eva Ariyani ◽  
Endang Laksmining Achadi ◽  
Anies Irawati

Lingkar lengan atas (LiLA) telah digunakan sebagai indikator proksi terhadap risiko kekurangan energi kronis (KEK) untuk ibu hamil di Indonesia karena tidak terdapat data berat badan prahamil pada sebagian besar ibu hamil. Selama ini, ambang batas LiLA yang digunakan adalah 23,5 cm. Penelitian ini bertujuan untuk menguji validitas LiLA terhadap indeks massa tubuh (IMT) yang merupakan indikator yang lebih baik untuk mengetahui status gizi wanita dewasa. Penelitian ini menggunakan data Riset Kesehatan Dasar tahun 2007 pada perempuan dewasa usia 20 – 45 tahun di seluruh Indonesia. Hasil penelitian ini ialah ambang batas LiLA yang paling optimal untuk mendeteksi risiko KEK di Indonesia berada pada titik 24,95 cm (Se = 85%; Sp = 75%). Terdapat perbedaan ambang batas antarprovinsi tetapi tidak lebih dari 2 cm, terendah di Provinsi Nusa Tenggara Timur (23,95 cm) dan tertinggi di Provinsi Sulawesi Utara dan Gorontalo (25,95 cm). LiLA mempunyai korelasi yang kuat (r = 0,67; nilai p < 0,000) dengan IMT. Direkomendasikan untuk menggunakan ambang batas LiLA 24,95 cm untuk mendeteksi risiko KEK wanita usia 20 – 45 tahun, sementara23,5 cm untuk outcome kehamilan, yaitu morbiditas dan mortalitas bayi.Kata kunci: Lingkar lengan atas, indeks massa tubuh, kekurangan energi kronisAbstractMid-upper arm circumference has been used in Indonesia as an proxy indicator of chronic energy malnutrition risk for pregnant women because there isn’t any data of prepregnancy weight in most of pregnant women. The boundary used was 23,5 cm. The objective of the study is to validate the currentboundary related to body mass index (BMI) indicator, which is believed as a better indicator in identifying women nutritional status. The study is using Riset Kesehatan Dasar 2007 data on Indonesian adult women aged 20 – 45 years old. The study found the boundary is 24,95 cm for detecting chronic energy malnutrition risk among adult women (Se = 85%; Sp = 75%). There are differences among provinces but not more than 2 cm, the lowest is in Nusa Tenggara Timur (23,95 cm) and the highest is in North Sulawesi and Gorontalo (25,95 cm). Mid upper arm circumference has a strong relationto BMI (r = 0,67; p value < 0,000). It is recommended to use mid-upper arm circumference boundary 24,95 cm to detect chronic energy malnutrition on 20 – 45 years old women and 23,5 cm to pregnancy outcome, baby morbidity, and mortality.Key words: Mid-upper arm circumference, body mass index, chronic energy deficiency


Arkus ◽  
2021 ◽  
Vol 8 (1) ◽  
pp. 203-209
Author(s):  
Mardiati ◽  
Noviana Zara ◽  
Anna Millizia

Hemoglobin is a protein found in red blood cells. Hemoglobin levels that are less than normal or anemia can cause complications in the form of fatigue and stress on the body's organs. Nutritional status is one of the factors that can affect hemoglobin levels. Measurement of nutritional status can be done through several methods including anthropometry and clinical laboratories. Among these methods, the most frequently used in the field is anthropometry using body mass index (BMI) and upper arm circumference (LLA). This study aims to determine the hemoglobin level and nutritional status of the assisted families located in Uteunkot Cunda Village, Lhokseumawe. This study is a descriptive study with a cross-sectional approach to determine the description of hemoglobin levels and nutritional status based on indicators of Body Mass Index and Upper Arm Circumference in the fostered family. The sampling technique used is total sampling with a total of 79 respondents. The results obtained were the average hemoglobin level of the respondents was 12.34 g/dL in the normal category. Nutritional status based on Body Mass Index, most respondents were in normal nutritional status as many as 27 respondents (34.2%). The most nutritional status based on upper arm circumference was malnutrition, namely 55 respondents (69.6%).


2021 ◽  
pp. 91-101
Author(s):  
Meilinda Aji Syahputri ◽  
Zulfahmidah Zulfahmidah ◽  
Windy Nurul Aisyah

Background: Nutrition is a factor that plays an important role in the development of a nation. One simple waythat can be used to determine nutritional status is to measure the Body Mass Index (BMI) or Body Mass Index(BMI). One of the factors that play a role in determining a person's nutritional status is the socioeconomic level.The socio-economic level includes education, income, and work which are indirect causes of nutritionalproblems. Efforts to improve good health are related to economic capacity with income levels and socialconditions of household members. How economics plays a role in the health record of each individual. Thepurpose of this study was to see the status of the socio-economic relationship with the Body Mass Index (BMI).Methods: This study is a descriptive research design. Data collected using a questionnaire. The data of thisstudy were categorical variables from 2 groups so that it used the Chi-Square test. Results: From 84 samples,based on the calculation of IBM SPSS Statistic 23 using the Chi-Square analysis test, it was obtained that the P-value (0.125) ≥ 0.05, then H0 was accepted and Ha was rejected, meaning that there was no influence of BMIinfluence on socio-economic factors. Conclusion: There is no relationship between socioeconomic status andBody Mass Index (BMI).


Author(s):  
◽  

Introduction: Rheumatoid arthritis is an autoimmune and inflammatory disease, chronic and progressive, highly limiting, which can be aggravated when the nutritional status of this patient has dystrophy, so the body composition can influence the activity of this disease. Objective: To evaluate the association between nutritional status and the risk of cardiovascular disease in patients with rheumatoid arthritis in a reference center in the northeast. Material and Methods: Cross-sectional study carried out in a rheumatology clinic of a reference center in Northeast Brazil (Recife / PE) with patients with rheumatoid arthritis. Anthropometric measurements of weight and height were taken to assess the parameter of Body Mass Index (BMI). Measures of waist circumference (WC) and hip circumference (HC) were also taken to assess the parameters of waist-to-height ratio (WHtR) and waist-to-hip ratio (WHR), in order to investigate cardiovascular risk. The data were treated using the SPSS version 17.0 for Windows and Excel 2010. For the correlation analysis, the Chi-square test was used. The level of significance was set at 5%. The Bioethics Research Committee of the Instituto de Medicina Integral Professor Fernando Figueira (IMIP) approved the present study under nº 19163619.1.0000.5201 the participants signed the Informed Consent Form (ICF). Results: The study included 54 patients aged between 18 and 58 years old and a mean age of 47.26 years +/- 11.72 SD, 96.3% of whom were female. 42.9% of the studied population had obesity according to the Body Mass Index, followed by 35.7% with overweight. According to WC 52.6% had an increased risk for cardiovascular diseases. WHR and WHtR found risk for cardiovascular diseases in 64.9% and 84.5%, respectively. The association between BMI and WC was 0.000 p-value, whereas for BMI and WHR, WHtR was 0.176 p-value and 0.095 p-value respectively. Conclusions: There was a prevalence of obesity and overweight in patients with rheumatoid arthritis, which may suggest a greater risk for disease activity, and difficulty in controlling symptoms.


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