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1	Základní antropometrické charakteristiky běžců na 400m a 800m / Basic anthropometric characteristics of 400 m and 800 m runners Praská, Vendulka January 2012 (has links) Title: Basic anthropometric characteristics of 400 m and 800 m runers. Student: Bc. Vendulka Praská Supervisor: PaedDr. Jitka Vindušková, CSc. Objectives: The main objective of this dissertation is comparison of anthropometric characteristics of 400m and 800m runners. Another objective is analysis of relation between somatometric parameters and physical performance of 400m and 800m runners. Methods: In this thesis was used comparison method of athletes' body characteristics using graphs and correlations of anthropometric characteristics with physical performance. Results: We found, that average body height and weight of 400m run athletes is 1,84 m and 73 kg for men and 1,70 m and 60 kg for women. Average body height and weight of 800m run athletes is 1,77 m and 65 kg for men and 1,66 m and 53 kg for women. Furthermore we found by using statistical calculations that there is a direct relation between body height, weight and physical performance. Keywords: athletics, anthropometric characteristics, 400 m run, 800 m run
2	Mokyklinio amžiaus vaikų su padidintu svoriu mitybos įpročiai ir fizinis aktyvumas / Dietary habits and physical activity of school age children with increased weight Šidlauskas, Donatas 18 June 2014 (has links) Darbo tikslas: išanalizuoti mokyklinio amžiaus vaikų su padidintu svoriu mitybos įpročius ir fizinį aktyvumą. Darbo uždaviniai: Įvertinti vaikų ir paauglių su padidintu svoriu sociodemografines charakteristikas ir antropometrinius duomenis; Išsiaiškinti vaikų ir paauglių su padidintu svoriu mitybos įpročius; Įvertinti vaikų ir paauglių su padidintu svoriu sveikatą ir išvaizdą, jų pačių požiūriu; Išsiaiškinti vaikų ir paauglių su padidintu svoriu fizinį aktyvumą. Tyrimo objektas: mokyklinio amžiaus vaikų su padidintu svoriu mitybos įpročiai ir fizinis aktyvumas. Tyrimo metodika: Kiekybinis momentinis tyrimas, tikslinė imtis – respondentai su padidintu svoriu. Analizuojamosios imties dydis n = 148. Atsako dažnis 94 proc. Tyrimas vykdytas VŠĮ Respublikinės Kauno ligoninės vaikų reabilitacijos padalinyje, sanatorijos “Žibutė”. Gautiems duomenims apdoroti naudotos SPSS 22.0, Microsoft Excel of Windows programos. Rezultatai: Tyrime dalyvavo 47 berniukai ir 92 mergaitės. 12- 13 m., 14-15 m., 16 -17 m. tiriamųjų amžiaus grupėse KMI didesnis nei 30 kg/m2 (IOTF standartai tokį KMI leidžia traktuoti nutukimu). Mergaičių KMI didesnis nei berniukų visuose amžiaus tarpsniuose. 12 – 18 m. respondentai linkę nevalgyti pusryčių darbo dienomis ir tai sudarė 57,8 proc. 12 – 18 metų respondentų. 44,1 proc. respondentų, kurių amžius 12 – 18 metų savaitgaliais nurodė niekada nevalgantys pusryčių. 12–18 m. amžiaus berniukų ir mergaičių grupėse pastebimos labai panašios pusryčių nevalgymo... [toliau žr. visą tekstą] / The aim of the work: rate the dietary habits and physical activity of school-age children within creased weight. Objectives: to evaluate sociodemographic characteristics and anthropometric measures of children and adolescents with increased weight; to evaluate daily eating habits of children and adolescents with increased weight; to analyze health and appearance of their own point of view of children and adolescents with increased weight; to evaluate physical activity of children and adolescents with increased weight. Material and Methods: quantitative cross sectional research; random sampling of the research participants: overweight children and adolescents from rehab. center. The size of the sample n = 148 school children. Response rate – 94 %. The following programs: SPSS 17.0, Microsoft Excel of Windows were used to process the received data. Results: Analyze the data provided by 139 respondents - 47 boys and 92 girls. The analysis of the data anonymous questionnaires noted that most of the study, 12 - 13 y , 14-15 y and 11 y of the respondents. At least the respondents, only 2.2 % was 18 y old. Many subjects ages 12-13 y, 14-15 y, 16 -17 y old have had a BMI greater than 30 kg/m2 (in terms of set IOTF standards, the BMI of these children in the age groups evaluated as obesity). 10-11 y age group, mostly overweight subjects by IOTF , their BMI from 25 to 29.9 kg/m2. The data show that girls' BMI higher than boys in all age groups, it could affect the larger number of... [to full text] Public Health Sveika mityba Antropometriniai rodikliai Fizinis aktyvumas Healthy diet Anthropometric characteristics Physical activity
3	BIRTHWEIGHT AND SUSCEPTIBILITY TO CHRONIC DISEASE Issa Al Salmi Unknown Date (has links) The thesis examines the relationship of birthweight to risk factors and markers, such as proteinuria and glomerular filtration rate, for chronic disease in postnatal life. It made use of the Australian Diabetes, Obesity and Lifestyle Study (AusDiab). The AusDiab study is a cross sectional study where baseline data on 11,247 participants were collected in 1999-2000. Participants were recruited from a stratified sample of Australians aged ≥ 25 years, residing in 42 randomly selected urban and non-urban areas (Census Collector Districts) of the six states of Australia and the Northern Territory. The AusDiab study collected an enormous amount of clinical and laboratory data. During the 2004-05 follow-up AusDiab survey, questions about birthweight were included. Participants were asked to state their birthweight, the likely accuracy of the stated birthweight and the source of their stated birthweight. Four hundred and twelve chronic kidney disease (CKD) patients were approached, and 339 agreed to participate in the study. The patients completed the same questionnaire. Medical records were reviewed to check the diagnoses, causes of kidney trouble and SCr levels. Two control subjects, matched for gender and age, were selected for each CKD patient from participants in the AusDiab study who reported their birthweight. Among 7,157 AusDiab participants who responded to the questionnaire, 4,502 reported their birthweights, with a mean (standard deviation) of 3.4 (0.7) kg. The benefit and disadvantages of these data are discussed in chapter three. The data were analysed for the relationship between birthweight and adult body size and composition, disorders of glucose regulation, blood pressure, lipid abnormalities, cardiovascular diseases and glomerular filtration rate. Low birthweight was associated with smaller body build and lower lean mass and total body water in both females and males. In addition low birthweight was associated with central obesity and higher body fat percentage in females, even after taking into account current physical activity and socioeconomic status. Fasting plasma glucose, post load glucose and glycosylated haemoglobin were strongly and inversely correlated with birthweight. In those with low birthweight (< 2.5 kg), the risks for having impaired fasting glucose, impaired glucose tolerance, diabetes and all abnormalities combined were increased by 1.75, 2.22, 2.76 and 2.28 for females and by 1.40, 1.32, 1.98 and 1.49 for males compared to those with normal birthweight (≥ 2.5 kg), respectively. Low birthweight individuals were at higher risk for having high blood pressure ≥ 140/90 mmHg and ≥ 130/85 mmHg compared to those with normal birthweight. People with low birthweight showed a trend towards increased risk for high cholesterol (≥ 5.5 mmol/l) compared to those of normal birthweight. Females with low birthweight had increased risk for high low density lipoprotein cholesterol (≥ 3.5 mmol/l) and triglyceride levels (≥ 1.7 mmol/l) when compared to those with normal birthweight. Males with low birthweight exhibited increased risk for low levels of high density lipoprotein cholesterol (<0.9 mmol/l) than those with normal birthweight. Females with low birthweight were at least 1.39, 1.40, 2.30 and 1.47 times more likely to have angina, coronary artery disease, stroke and overall cardiovascular diseases respectively, compared to those ≥ 2.5 kg. Similarly, males with low birthweight were 1.76, 1.48, 3.34 and 1.70 times more likely to have angina, coronary artery disease, stroke and overall cardiovascular diseases compared to those ≥ 2.5 kg, respectively. The estimated glomerular filtration rate was strongly and positively associated with birthweight, with a predicted increase of 2.6 ml/min (CI 2.1, 3.2) and 3.8 (3.0, 4.5) for each kg of birthweight for females and males, respectively. The odd ratio (95% confidence interval) for low glomerular filtration rate (<61.0 ml/min for female and < 87.4 male) in people of low birthweight compared with those of normal birthweight was 2.04 (1.45, 2.88) for female and 3.4 (2.11, 5.36) for male. One hundred and eighty-nineCKD patients reported their birthweight; 106 were male. Their age was 60.3(15) years. Their birthweight was 3.27 (0.62) kg, vs 3.46 (0.6) kg for their AusDiab controls, p<0.001 and the proportions with birthweight<2.5 kg were 12.17% and 4.44%, p<0.001. Among CKD patients, 22.8%, 21.7%, 18% and 37.6% were in CKD stages 2, 3, 4 and 5 respectively. Birthweights by CKD stage and their AusDiab controls were as follows: 3.38 (0.52) vs 3.49 (0.52), p=0.251 for CKD2; 3.28 (0.54) vs 3.44 (0.54), p=0.121 for CKD3; 3.19 (0.72) vs 3.43 (0.56), p= 0.112 for CKD4 and 3.09 (0.65) vs 3.47 (0.67), p<0.001 for CKD5. The results demonstrate that in an affluent Western country with a good adult health profile, low birthweight people were predisposed to higher rates of glycaemic dysregulation, high blood pressure, dyslipidaemia, cardiovascular diseases and lower glomerular filtration rate in adult life. In all instances it would be prudent to adopt policies of intensified whole of life surveillance of lower birthweight people, anticipating this risk. The general public awareness of the effect of low birthweight on development of chronic diseases in later life is of vital importance. The general public, in addition to the awareness of people in medical practice of the role of low birthweight, will lead to a better management of this group of our population that is increasingly surviving into adulthood. birth weight birthweight birth weight and renal volume BIRTH WEIGHT QUESTIONNAIRE chronic disease Barker Hypothesis Foetal development DOHaD gestational age Anthropometric Characteristics body composition Height weight body mass index Waist Circumference hip circumference Waist-hip Ratio obesity Central Obesity Fatness Lean Body Mass Lean Mass Fat Mass body fat mass Body Fat Percentage body fatness Body Surface Area diabetes Fasting Glucose fasting insulin level glucose tolerance Impaired Fasting Glucose Impaired Glucose Tolerance Glycosylated Hemoglobin HbA1c IFG glucose control glycaemic control Metabolic Syndrome Syndrome X blood pressure Systolic Blood-pressure Diastolic Blood-pressure Systolic Hypertension high blood pressure Hypertension Dyslipidaemia Dyslipidemia Total Cholesterol Triglyceride Low Density Lipoprotein Cholesterol Ldl Cholesterol High Density Lipoprotein Hdl Cholesterol Fibrinogen angina Angina-pectoris Stroke coronary artery disease cardiovascular disease Framingham Framingham Heart Study Framingham Score coronary heart disease Glomerular Filtration glomerular filtration rate Glomerular Hyperfiltration Glomerular Injury Glomerular Number Nephrogenesis Nephron Endowment Nephron Number NKF-K/DQQI Classification Chronic Kidney Disease (ckd) Chronic Kidney Failure Kidney Failure CKD STAGES end-stage renal disease (ESRD) end-stage renal failure Cockcroft-gault MDRD formula Serum Creatinine Urinary Creatinine albuminuria Albuminuria:creatinine Ratio Kidney Development Kidney dysfunction low birth weight low birth weight Pre-term Birth AusDiab Study case control longitudinal observational study
4	BIRTHWEIGHT AND SUSCEPTIBILITY TO CHRONIC DISEASE Issa Al Salmi Unknown Date (has links) The thesis examines the relationship of birthweight to risk factors and markers, such as proteinuria and glomerular filtration rate, for chronic disease in postnatal life. It made use of the Australian Diabetes, Obesity and Lifestyle Study (AusDiab). The AusDiab study is a cross sectional study where baseline data on 11,247 participants were collected in 1999-2000. Participants were recruited from a stratified sample of Australians aged ≥ 25 years, residing in 42 randomly selected urban and non-urban areas (Census Collector Districts) of the six states of Australia and the Northern Territory. The AusDiab study collected an enormous amount of clinical and laboratory data. During the 2004-05 follow-up AusDiab survey, questions about birthweight were included. Participants were asked to state their birthweight, the likely accuracy of the stated birthweight and the source of their stated birthweight. Four hundred and twelve chronic kidney disease (CKD) patients were approached, and 339 agreed to participate in the study. The patients completed the same questionnaire. Medical records were reviewed to check the diagnoses, causes of kidney trouble and SCr levels. Two control subjects, matched for gender and age, were selected for each CKD patient from participants in the AusDiab study who reported their birthweight. Among 7,157 AusDiab participants who responded to the questionnaire, 4,502 reported their birthweights, with a mean (standard deviation) of 3.4 (0.7) kg. The benefit and disadvantages of these data are discussed in chapter three. The data were analysed for the relationship between birthweight and adult body size and composition, disorders of glucose regulation, blood pressure, lipid abnormalities, cardiovascular diseases and glomerular filtration rate. Low birthweight was associated with smaller body build and lower lean mass and total body water in both females and males. In addition low birthweight was associated with central obesity and higher body fat percentage in females, even after taking into account current physical activity and socioeconomic status. Fasting plasma glucose, post load glucose and glycosylated haemoglobin were strongly and inversely correlated with birthweight. In those with low birthweight (< 2.5 kg), the risks for having impaired fasting glucose, impaired glucose tolerance, diabetes and all abnormalities combined were increased by 1.75, 2.22, 2.76 and 2.28 for females and by 1.40, 1.32, 1.98 and 1.49 for males compared to those with normal birthweight (≥ 2.5 kg), respectively. Low birthweight individuals were at higher risk for having high blood pressure ≥ 140/90 mmHg and ≥ 130/85 mmHg compared to those with normal birthweight. People with low birthweight showed a trend towards increased risk for high cholesterol (≥ 5.5 mmol/l) compared to those of normal birthweight. Females with low birthweight had increased risk for high low density lipoprotein cholesterol (≥ 3.5 mmol/l) and triglyceride levels (≥ 1.7 mmol/l) when compared to those with normal birthweight. Males with low birthweight exhibited increased risk for low levels of high density lipoprotein cholesterol (<0.9 mmol/l) than those with normal birthweight. Females with low birthweight were at least 1.39, 1.40, 2.30 and 1.47 times more likely to have angina, coronary artery disease, stroke and overall cardiovascular diseases respectively, compared to those ≥ 2.5 kg. Similarly, males with low birthweight were 1.76, 1.48, 3.34 and 1.70 times more likely to have angina, coronary artery disease, stroke and overall cardiovascular diseases compared to those ≥ 2.5 kg, respectively. The estimated glomerular filtration rate was strongly and positively associated with birthweight, with a predicted increase of 2.6 ml/min (CI 2.1, 3.2) and 3.8 (3.0, 4.5) for each kg of birthweight for females and males, respectively. The odd ratio (95% confidence interval) for low glomerular filtration rate (<61.0 ml/min for female and < 87.4 male) in people of low birthweight compared with those of normal birthweight was 2.04 (1.45, 2.88) for female and 3.4 (2.11, 5.36) for male. One hundred and eighty-nineCKD patients reported their birthweight; 106 were male. Their age was 60.3(15) years. Their birthweight was 3.27 (0.62) kg, vs 3.46 (0.6) kg for their AusDiab controls, p<0.001 and the proportions with birthweight<2.5 kg were 12.17% and 4.44%, p<0.001. Among CKD patients, 22.8%, 21.7%, 18% and 37.6% were in CKD stages 2, 3, 4 and 5 respectively. Birthweights by CKD stage and their AusDiab controls were as follows: 3.38 (0.52) vs 3.49 (0.52), p=0.251 for CKD2; 3.28 (0.54) vs 3.44 (0.54), p=0.121 for CKD3; 3.19 (0.72) vs 3.43 (0.56), p= 0.112 for CKD4 and 3.09 (0.65) vs 3.47 (0.67), p<0.001 for CKD5. The results demonstrate that in an affluent Western country with a good adult health profile, low birthweight people were predisposed to higher rates of glycaemic dysregulation, high blood pressure, dyslipidaemia, cardiovascular diseases and lower glomerular filtration rate in adult life. In all instances it would be prudent to adopt policies of intensified whole of life surveillance of lower birthweight people, anticipating this risk. The general public awareness of the effect of low birthweight on development of chronic diseases in later life is of vital importance. The general public, in addition to the awareness of people in medical practice of the role of low birthweight, will lead to a better management of this group of our population that is increasingly surviving into adulthood. birth weight birthweight birth weight and renal volume BIRTH WEIGHT QUESTIONNAIRE chronic disease Barker Hypothesis Foetal development DOHaD gestational age Anthropometric Characteristics body composition Height weight body mass index Waist Circumference hip circumference Waist-hip Ratio obesity Central Obesity Fatness Lean Body Mass Lean Mass Fat Mass body fat mass Body Fat Percentage body fatness Body Surface Area diabetes Fasting Glucose fasting insulin level glucose tolerance Impaired Fasting Glucose Impaired Glucose Tolerance Glycosylated Hemoglobin HbA1c IFG glucose control glycaemic control Metabolic Syndrome Syndrome X blood pressure Systolic Blood-pressure Diastolic Blood-pressure Systolic Hypertension high blood pressure Hypertension Dyslipidaemia Dyslipidemia Total Cholesterol Triglyceride Low Density Lipoprotein Cholesterol Ldl Cholesterol High Density Lipoprotein Hdl Cholesterol Fibrinogen angina Angina-pectoris Stroke coronary artery disease cardiovascular disease Framingham Framingham Heart Study Framingham Score coronary heart disease Glomerular Filtration glomerular filtration rate Glomerular Hyperfiltration Glomerular Injury Glomerular Number Nephrogenesis Nephron Endowment Nephron Number NKF-K/DQQI Classification Chronic Kidney Disease (ckd) Chronic Kidney Failure Kidney Failure CKD STAGES end-stage renal disease (ESRD) end-stage renal failure Cockcroft-gault MDRD formula Serum Creatinine Urinary Creatinine albuminuria Albuminuria:creatinine Ratio Kidney Development Kidney dysfunction low birth weight low birth weight Pre-term Birth AusDiab Study case control longitudinal observational study
5	BIRTHWEIGHT AND SUSCEPTIBILITY TO CHRONIC DISEASE Issa Al Salmi Unknown Date (has links) The thesis examines the relationship of birthweight to risk factors and markers, such as proteinuria and glomerular filtration rate, for chronic disease in postnatal life. It made use of the Australian Diabetes, Obesity and Lifestyle Study (AusDiab). The AusDiab study is a cross sectional study where baseline data on 11,247 participants were collected in 1999-2000. Participants were recruited from a stratified sample of Australians aged ≥ 25 years, residing in 42 randomly selected urban and non-urban areas (Census Collector Districts) of the six states of Australia and the Northern Territory. The AusDiab study collected an enormous amount of clinical and laboratory data. During the 2004-05 follow-up AusDiab survey, questions about birthweight were included. Participants were asked to state their birthweight, the likely accuracy of the stated birthweight and the source of their stated birthweight. Four hundred and twelve chronic kidney disease (CKD) patients were approached, and 339 agreed to participate in the study. The patients completed the same questionnaire. Medical records were reviewed to check the diagnoses, causes of kidney trouble and SCr levels. Two control subjects, matched for gender and age, were selected for each CKD patient from participants in the AusDiab study who reported their birthweight. Among 7,157 AusDiab participants who responded to the questionnaire, 4,502 reported their birthweights, with a mean (standard deviation) of 3.4 (0.7) kg. The benefit and disadvantages of these data are discussed in chapter three. The data were analysed for the relationship between birthweight and adult body size and composition, disorders of glucose regulation, blood pressure, lipid abnormalities, cardiovascular diseases and glomerular filtration rate. Low birthweight was associated with smaller body build and lower lean mass and total body water in both females and males. In addition low birthweight was associated with central obesity and higher body fat percentage in females, even after taking into account current physical activity and socioeconomic status. Fasting plasma glucose, post load glucose and glycosylated haemoglobin were strongly and inversely correlated with birthweight. In those with low birthweight (< 2.5 kg), the risks for having impaired fasting glucose, impaired glucose tolerance, diabetes and all abnormalities combined were increased by 1.75, 2.22, 2.76 and 2.28 for females and by 1.40, 1.32, 1.98 and 1.49 for males compared to those with normal birthweight (≥ 2.5 kg), respectively. Low birthweight individuals were at higher risk for having high blood pressure ≥ 140/90 mmHg and ≥ 130/85 mmHg compared to those with normal birthweight. People with low birthweight showed a trend towards increased risk for high cholesterol (≥ 5.5 mmol/l) compared to those of normal birthweight. Females with low birthweight had increased risk for high low density lipoprotein cholesterol (≥ 3.5 mmol/l) and triglyceride levels (≥ 1.7 mmol/l) when compared to those with normal birthweight. Males with low birthweight exhibited increased risk for low levels of high density lipoprotein cholesterol (<0.9 mmol/l) than those with normal birthweight. Females with low birthweight were at least 1.39, 1.40, 2.30 and 1.47 times more likely to have angina, coronary artery disease, stroke and overall cardiovascular diseases respectively, compared to those ≥ 2.5 kg. Similarly, males with low birthweight were 1.76, 1.48, 3.34 and 1.70 times more likely to have angina, coronary artery disease, stroke and overall cardiovascular diseases compared to those ≥ 2.5 kg, respectively. The estimated glomerular filtration rate was strongly and positively associated with birthweight, with a predicted increase of 2.6 ml/min (CI 2.1, 3.2) and 3.8 (3.0, 4.5) for each kg of birthweight for females and males, respectively. The odd ratio (95% confidence interval) for low glomerular filtration rate (<61.0 ml/min for female and < 87.4 male) in people of low birthweight compared with those of normal birthweight was 2.04 (1.45, 2.88) for female and 3.4 (2.11, 5.36) for male. One hundred and eighty-nineCKD patients reported their birthweight; 106 were male. Their age was 60.3(15) years. Their birthweight was 3.27 (0.62) kg, vs 3.46 (0.6) kg for their AusDiab controls, p<0.001 and the proportions with birthweight<2.5 kg were 12.17% and 4.44%, p<0.001. Among CKD patients, 22.8%, 21.7%, 18% and 37.6% were in CKD stages 2, 3, 4 and 5 respectively. Birthweights by CKD stage and their AusDiab controls were as follows: 3.38 (0.52) vs 3.49 (0.52), p=0.251 for CKD2; 3.28 (0.54) vs 3.44 (0.54), p=0.121 for CKD3; 3.19 (0.72) vs 3.43 (0.56), p= 0.112 for CKD4 and 3.09 (0.65) vs 3.47 (0.67), p<0.001 for CKD5. The results demonstrate that in an affluent Western country with a good adult health profile, low birthweight people were predisposed to higher rates of glycaemic dysregulation, high blood pressure, dyslipidaemia, cardiovascular diseases and lower glomerular filtration rate in adult life. In all instances it would be prudent to adopt policies of intensified whole of life surveillance of lower birthweight people, anticipating this risk. The general public awareness of the effect of low birthweight on development of chronic diseases in later life is of vital importance. The general public, in addition to the awareness of people in medical practice of the role of low birthweight, will lead to a better management of this group of our population that is increasingly surviving into adulthood. birth weight birthweight birth weight and renal volume BIRTH WEIGHT QUESTIONNAIRE chronic disease Barker Hypothesis Foetal development DOHaD gestational age Anthropometric Characteristics body composition Height weight body mass index Waist Circumference hip circumference Waist-hip Ratio obesity Central Obesity Fatness Lean Body Mass Lean Mass Fat Mass body fat mass Body Fat Percentage body fatness Body Surface Area diabetes Fasting Glucose fasting insulin level glucose tolerance Impaired Fasting Glucose Impaired Glucose Tolerance Glycosylated Hemoglobin HbA1c IFG glucose control glycaemic control Metabolic Syndrome Syndrome X blood pressure Systolic Blood-pressure Diastolic Blood-pressure Systolic Hypertension high blood pressure Hypertension Dyslipidaemia Dyslipidemia Total Cholesterol Triglyceride Low Density Lipoprotein Cholesterol Ldl Cholesterol High Density Lipoprotein Hdl Cholesterol Fibrinogen angina Angina-pectoris Stroke coronary artery disease cardiovascular disease Framingham Framingham Heart Study Framingham Score coronary heart disease Glomerular Filtration glomerular filtration rate Glomerular Hyperfiltration Glomerular Injury Glomerular Number Nephrogenesis Nephron Endowment Nephron Number NKF-K/DQQI Classification Chronic Kidney Disease (ckd) Chronic Kidney Failure Kidney Failure CKD STAGES end-stage renal disease (ESRD) end-stage renal failure Cockcroft-gault MDRD formula Serum Creatinine Urinary Creatinine albuminuria Albuminuria:creatinine Ratio Kidney Development Kidney dysfunction low birth weight low birth weight Pre-term Birth AusDiab Study case control longitudinal observational study

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