scholarly journals The Correlation of Central Obesity with Incident of High Cholesterol on Menopausal Woman in Indonesia (Analysis Secondary Data IFLS 2007 and 2014)

2020 ◽  
Author(s):  
Rahmi Dayuni ◽  
Yeni
Keyword(s):  
Central Obesity ◽  
Secondary Data ◽  
Menopausal Woman ◽  
High Cholesterol

scholarly journals Association of Metabolic Syndrome Parameters with Kidney Stones in Indonesia

2019 ◽  
Vol 8 (2) ◽  
pp. 88-98
Author(s):  
La’elatul Fazriyah ◽  
Mahalul Azam ◽  
Indah Septiani ◽  
Yuni Wijayanti
Keyword(s):  
Metabolic Syndrome ◽  
Kidney Stones ◽  
Kidney Stone ◽  
Central Obesity ◽  
Secondary Data ◽  
Cross Sectional Study ◽  
Stone Disease ◽  
Dominant Factor ◽  
Chi Square ◽  
Cross Sectional

Kidney stone disease is common throughout the world. Elevated prevalence of kidney stones is often associated with metabolic syndrome itself. This study aimed to assess the association between kidney stones and metabolic syndrome parameters in differences gender. This was a cross-sectional study with Chi-square and multivariate logistic regression for data analysis from the secondary data Riskesdas 2013 with 26,063 respondents. Diagnosis of kidney stone based on Riskesdas 2013 interview, metabolic syndrome based on NCEP ATP-III and PERKENI. Result showed that there were 226 (0.9%) diagnosed kidney stones cases by doctors. After adjustment age, central obesity was dominant factor which associated with the risk of kidney stones in male (OR 1.9; 95% CI 1.3-2.9; p=0.003) and metabolic syndrome was dominant factor which associated with the risk of kidney stones in female (OR 6.1; 95% CI 3.4-11.3; p<0.001). The conclusion was that metabolic syndrome and central obesity were associated with risk of kidney stones.

scholarly journals FIBER AND FAT INTAKE, SMOKING HABITS, BODY MASS INDEX AND CENTRAL OBESITY AND ITS ASSOCIATION WITH LIPID PROFILE OF MAN IN GATOT SUBROTO HOSPITAL HEART POLYCLINIC

2020 ◽  
Vol 15 (3) ◽  
pp. 205
Author(s):  
Kevinti Febrina ◽  
Adhila Fayasari
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Central Obesity ◽  
Secondary Data ◽  
Blood Lipid ◽  
Smoking Habits ◽  
Fisher Exact Test ◽  
Fat Intake ◽  
Cross Sectional ◽  
Exact Test

An increase in blood lipid profi le escalates risk of coronary heart disease (CHD). CHD is the leading cause of death in the world. This study was intended to analyze the relationship between fat intake, fi ber intake, smoking habits, Body Mass Index (BMI) and central obesity and lipid profi le among patients in cardiology clinic. This study used cross sectional design with 60 subjects aged >29 years who were outpatients in the Cardiaology Polyclinic at Gatot Soebroto Hospital. Central obesity was measured using metline by measurung waist circumference; BMI was converted from measurements of body weight and height; characteristics and smoking habits were taken using a questionnaire; and food intake was measured using Semi Quantitative FFQ. Lipid profi le data was collected through secondary data. Bivariate data analysis on categorical data used chi-square, Fisher-exact test or spearman ordinal correlation and stratifi cation analysis using ANOVA or kruskall-wallis. There were 78.3% subjects who had abnormal LDL, 76.7% had abnormal HDL, 80% had abnormal triglycerides and 78.3% had abnormal cholesterol. There were signifi ant relationship between fat intake, smoking habits, BMI and central obesity to the lipid profi le (LDL, HDL, triglycerides and cholesterol) (p <0.05). Fiber intake was not signifi cantly related to lipid profi le. However, based on stratifi cation analysis,the more fi ber intake the lower levels of LDL profi les, triglycerides and cholesterol, and the higher levels of HDL.

scholarly journals Dyslipidaemia prevalence and associated risk factors in the United Arab Emirates: a population-based study

BMJ Open ◽  
2019 ◽  
Vol 9 (11) ◽  
pp. e031969 ◽  
Author(s):  
Ibrahim Mahmoud ◽  
Nabil Sulaiman
Keyword(s):  
Risk Factors ◽  
United Arab Emirates ◽  
Central Obesity ◽  
Density Lipoprotein ◽  
Population Based ◽  
Lipoprotein Cholesterol ◽  
High Cholesterol ◽  
Cholesterol Ratio ◽  
Low Hdl ◽  
Associated Risk Factors

ObjectivesTo determine and describe the prevalence and pattern of dyslipidaemia and its associated risk factors among an adult Emirati population.DesignPopulation-based, cross-sectional study.SettingAdults living in the Northern Emirates.Participants824 adult participants (51.8% men, 48.2% women, mean age 42.8±13.4 years old).Primary outcome measuresFasting blood samples were collected, blood pressure and waist circumference were measured.ResultsThe overall dyslipidaemia prevalence was 72.5%, with 42.8% of the participants showing high total cholesterol (TC) level, 29% showing high triglyceride (TG) level, 42.5% showing low high-density lipoprotein cholesterol (HDL-C) level, 38.6% showing high low-density lipoprotein cholesterol (LDL-C) level and 72.3% showing high cholesterol ratio. The regression models showed that gender was a significant predictor of a high TG level, low LDL-C level and high cholesterol ratio. Middle-aged individuals (30–59 years old) had a significantly higher risk of having high TC, TG and LDL-C levels than young (<30 years old) and elderly (≥60 years old) individuals. Diabetes mellitus was a significant predictor of low TC, high TG and low HDL-C levels, while central obesity was a significant predictor of a high TG level, low HDL-C level and high cholesterol ratio. Smoking was a significant predictor of a high TG level only in men.ConclusionsThe prevalence of dyslipidaemia was considerably high among the local adult Emiratis. The identified dyslipidaemia predictors were gender, age, smoking, central obesity and diabetes. Further studies are recommended to assess other important risk factors and aggressive preventive measures in the United Arab Emirates.

scholarly journals ANALISIS FAKTOR UTAMA KADAR TRIGLISERIDA ABNORMAL PADA PENDUDUK DEWASA DI INDONESIA

2020 ◽  
Vol 7 (2) ◽  
pp. 118-127
Author(s):  
Mukhlidah Hanun Siregar ◽  
Fatmah Fatmah ◽  
Ratu Sartika
Keyword(s):  
Cardiovascular Disease ◽  
Central Obesity ◽  
Ldl Cholesterol ◽  
Healthy Lifestyle ◽  
Secondary Data ◽  
Hdl Cholesterol ◽  
The Body ◽  
Animal Fats ◽  
Fatty Food ◽  
Main Factor

Triglycerides is a compound consisting of three molecule fatty acid, synthesized from carbohydrates and deposited as animal fats in the body. Finding suggests that elevated levels of triglyceride were one of the risks of cardiovascular disease. Hypertriglyceridemia can lead to increased LDL cholesterol and lower HDL cholesterol, which became an indicator of cardiovascular disease. Previous finding found that age, sex, obesity, fatty food, coffee, and smoking associated with triglycerides. The aims of this study to identify the main factor associated with the levels of triglyceride in Indonesian adult (26-45 years). Data taken from secondary data Basic Health Reseach (RISKESDAS) with the specific criteria. The total respondents were 11421. Data analyzed with logistics multiple regression prediction model. The results showed 23.2% of respondents have abnormal levels of triglyceride (150 mg/dl). The main factors associated with the abnormal levels of triglyceride were sex [OR = 3,215 (2,745-3,765)], central obesity [OR= 2,664 (2,393-2,967)], and smoking [OR = 1,222 (1,048-1,426)]. Finding suggested keeping healthy lifestyle so not to be central obesity, especially men. In addition, leave cigarettes by reducing the number of cigarettes every day gradually, can decrease the abnormal levels of triglyceride.   Keywords: Triglycerides, Sex, Central Obesity, Smoking, Adult   Abstrak Trigliserida merupakan senyawa yang terdiri dari 3 molekul asam lemak, disintesis dari karbohidrat dan disimpan sebagai lemak hewani dalam tubuh. Temuan menegaskan bahwa peningkatan kadar trigliserida dalam darah merupakan salah satu faktor risiko dari penyakit kardiovaskular. Hipertrigliseridemia dapat menyebabkan peningkatan LDL Kolesterol dan penurunan HDL Kolesterol yang menjadi indikator penyakit kardiovaskular. Penelitian sebelumnya menemukan bahwa usia, jenis kelamin, kegemukan, makanan berlemak, kopi, dan merokok berhubungan dengan trigliserida. Studi ini bertujuan untuk mengidentifikasi faktor utama yang berhubungan dengan kadar trigliserida pada penduduk dewasa (26-45 tahun) di Indonesia. Data diambil dari data sekunder yang berasal dari Riset Kesehatan Dasar (RISKESDAS) dengan kriteria khusus. Total responden sebanyak 11421. Data dianalisis menggunakan uji Regresi Logistik Berganda model prediksi. Hasil penelitian menunjukkan 23,2% responden memiliki kadar trigliserida tidak normal (>150 mg/dl). Faktor utama yang berhubungan dengan kadar trigliserida tidak normal tersebut adalah jenis kelamin [OR = 3,215 (2,745-3,765)], obesitas sentral [OR= 2,664 (2,393-2,967)], dan merokok [OR = 1,222 (1,048-1,426)]. Hasil temuan ini menyarankan kepada penduduk dewasa untuk menjaga gaya hidup sehat agar tidak mengalami obesitas sentral, utamanya kelompok laki-laki. Selain itu, meninggalkan rokok dengan mengurangi jumlah rokok yang dikonsumsi setiap harinya secara bertahap sehingga terjadi penurunan kadar trigliserida yang tidak normal.

scholarly journals Association of Kidney Stones with Metabolic Syndrome Parameters in Indonesia

2018 ◽  
Author(s):  
Laelatul Fazriyah ◽  
Mahalul Azam ◽  
Yuni Wijayanti
Keyword(s):  
United States ◽  
Metabolic Syndrome ◽  
Kidney Stones ◽  
Kidney Stone ◽  
Central Obesity ◽  
Secondary Data ◽  
The United States ◽  
Dominant Factor ◽  
Female Respondent ◽  
Cross Sectional

Background: Kidney stone disease is common throughout the world with the lifetime risk of kidney stones in the United States exceeding 12% in men and 6% in women. In the United States, the prevalence of metabolic syndrome is 24% in men and 23.4% in women. Elevated prevalence of kidney stones is often associated with metabolic syndrome and metabolic syndrome itself. Objective: To assess the association between kidney stones and metabolic syndrome parameters in differences gender. Methode: Using a cross-sectional study, data obtained from secondary data of Riset Kesehatan Dasar (Riskesdas) 2013. A total of 26,063 people were as respondents in our study. Diagnosis of kidney stone based on Riskesdas 2013 interview. Metabolic syndrome was diagnosed according to the National Cholesterol Education Program Adult Treatment Panel III (NCEP ATP III) and PERKENI. Chi-square test and multivariate logistic regression were used in data analysis. Result: Number of respondents have been diagnosed with kidney stones by doctors was 226 (0.9%) respondents from 26,063 respondents. Central obesity was a dominant factor which associated with the risk of kidney stones in male respondents (OR 1.9; 95% CI 1.3-2.9; p=0.003) after adjustment for age. Metabolic syndrome was a dominant factor which associated with the risk of kidney stones in female respondent (OR 6.1; 95% CI 3.4-11.3; p&lt;0.001) after adjustment for age. Conclusion: Metabolic syndrome and central obesity were associated with the risk of kidney stones.

scholarly journals New proposed cut-off of waist circumference for central obesity as risk factor for diabetes mellitus: Evidence from the Indonesian Basic National Health Survey

PLoS ONE ◽  
2020 ◽  
Vol 15 (11) ◽  
pp. e0242417
Author(s):  
Dante Saksono Harbuwono ◽  
Dicky Levenus Tahapary ◽  
Tri Juli Edi Tarigan ◽  
Em Yunir
Keyword(s):  
Waist Circumference ◽  
National Health ◽  
Odds Ratio ◽  
Central Obesity ◽  
Secondary Data ◽  
Youden Index ◽  
Oral Glucose ◽  
Roc Curve Analysis ◽  
Cross Sectional ◽  
Indonesian Population

Background Waist circumference (WC) measurement is practical to define central obesity. However, WC cut-off point might be differ based on different race or ethnicity. This study aims to analyze the optimal WC cut-off point to identify T2DM risk among Indonesian population. Method We analyzed the secondary data of national based cross-sectional study of the Indonesian Basic National Health Research 2013, comprising 24,660 adults aged ≥ 18 years who were assessed for fasting plasma glucose (FPG) and oral glucose tolerance test (OGTT). The new proposed cut-off point for WC was calculated using ROC curve analysis and Youden index. The odds ratio of having T2DM was calculated using logistic regression analysis. Results Increased WC was associated with worsening dysglycemia status among men and women (p<0.001). The optimal cut-off point of WC for detecting T2DM from ROC analysis was 76 for men and 80 for women. Based on this WC cut-off point, the odds ratio for having T2DM was 1.64 [95% CI 1.45–1.86, p<0.01] for men and 1.90 [95% CI 1.71–2.11 p<0.01] for women. Conclusion The newly proposed WC cut-off point of 76 for men and 80 women can be used to screen the risk of T2DM among Indonesian population.

scholarly journals The Relationship Of Waist Circumference And Hypercholesterolemia Incidence In Patient With Hypertension in Tegal Gundil Public Health Center at Bogor City

2019 ◽  
Vol 5 (1) ◽  
pp. 34-43
Author(s):  
Siti Hana ◽  
Ratu Ayu Dewi Sartika
Keyword(s):  
Heart Disease ◽  
Waist Circumference ◽  
Central Obesity ◽  
Secondary Data ◽  
Blood Cholesterol ◽  
Cross Sectional ◽  
Hypertensive Patients ◽  
Multivariate Tests ◽  
Relationship Of ◽  
The Relationship

Hypertension and hypercholesterolemia are the causes of coronary heart disease (CHD) so that the presence of hypercholesterolemia in patients with hypertension will increase the risk of CHD. Central obesity describes the accumulation of fat in the stomach which can lead to abnormalities in the amount of lipids in the blood, when it occurs in patients with hypertension can lead to progression of the occurrence of high blood cholesterol and the risk of causing atherosclerosis and heart disease. The purpose of this study was to determine the relationship of waist circumference and other factors with the incidence of hypercholesterolemia in patients with hypertension. This research is a quantitative study through secondary data with Cross Sectional design. According to the results of multivariate tests with multiple logistic regression, there was a relationship between waist circumference, gender and age after being controlled by physical activity variables. Gender as a risk factor most associated with the incidence of hypercholesterolemia with a risk 8.5 times higher in women than men, then carried out waist circumference stratification test by sex in hypertensive patients with cases of central obesity found a significant relationship that women with central obesity have a risk of experiencing hypercholesterolemia as much as 5.5 times compared to central obesity in men with a value of p <0.05. There is a waist circumference relationship with the incidence of hypercholesterolemia in women who are central obesity more at risk of developing hypercholesterolemia than central obesity in men. Keywords: Hypercholesterolemia, waist circumference, hypertensive patients

Predictors of Purchasing a Hearing Aid After an Evaluation Period: A Prospective Study in Dutch Older Hearing Aid Candidates

2019 ◽  
Vol 28 (3S) ◽  
pp. 802-805 ◽  
Author(s):  
Marieke Pronk ◽  
Janine F. J. Meijerink ◽  
Sophia E. Kramer ◽  
Martijn W. Heymans ◽  
Jana Besser
Keyword(s):  
Help Seeking ◽  
Hearing Aid ◽  
Model Performance ◽  
Area Under The Curve ◽  
Secondary Data ◽  
Support Program ◽  
Evaluation Period ◽  
A Prospective Study ◽  
Study Participants ◽  
Baseline Covariates

Purpose The current study aimed to identify factors that distinguish between older (50+ years) hearing aid (HA) candidates who do and do not purchase HAs after having gone through an HA evaluation period (HAEP). Method Secondary data analysis of the SUpport PRogram trial was performed ( n = 267 older, 1st-time HA candidates). All SUpport PRogram participants started an HAEP shortly after study enrollment. Decision to purchase an HA by the end of the HAEP was the outcome of interest of the current study. Participants' baseline covariates (22 in total) were included as candidate predictors. Multivariable logistic regression modeling (backward selection and reclassification tables) was used. Results Of all candidate predictors, only pure-tone average (average of 1, 2, and 4 kHz) hearing loss emerged as a significant predictor (odds ratio = 1.03, 95% confidence interval [1.03, 1.17]). Model performance was weak (Nagelkerke R 2 = .04, area under the curve = 0.61). Conclusions These data suggest that, once HA candidates have decided to enter an HAEP, factors measured early in the help-seeking journey do not predict well who will and will not purchase an HA. Instead, factors that act during the HAEP may hold this predictive value. This should be examined.

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