PERBANDINGAN IMT DAN INDIKATOR OBESITAS SENTRAL TERHADAP KEJADIAN DIABETES MELITUS TIPE 2 (DMT2) (Analisis data sekunder baseline studi kohor PTM di kelurahan Kebon Kalapa Bogor tahun 2011)

Susilawati, Made; Muljati, Sri; Bantas, Krisnawati

doi:10.22435/bpk.v43i1mar.3964

Cited by 3 publications

(3 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Waist circumference was associated with BMI (R=0.78; p<0.01), and there is an increase in the volume of visceral tissue in the abdomen (Gierach, et al, 2014). Indicators of BMI and waist circumference (central obesity) have a strong correlation with non-communicable diseases such as hypertension and diabetes mellitus (Susilawati et al, 2015;Deng et al, 2013). In the study of Hotama (2014).…”

Section: Resultsmentioning

confidence: 99%

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

Febrina¹,

Fayasari²

2020

MGI

View full text Add to dashboard Cite

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.

show abstract

Section: Resultsmentioning

confidence: 99%

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

Febrina¹,

Fayasari²

2020

MGI

View full text Add to dashboard Cite

show abstract

“…Insulin resistance can contribute to systemic inflammation. The onset of inflammation is associated with metabolic syndrome (22).…”

Section: Discussionmentioning

confidence: 99%

The Dominant factor of metabolic syndrome among office workers

Listyandini

Pertiwi

Riana

et al. 2021

Jour. Health Sci Prev

View full text Add to dashboard Cite

The prevalence of metabolic syndrome in workers is high. Its impact can lower health status and disrupt work productivity. This research aimed to identify the dominant factor of metabolic syndrome among workers in government agencies of the Tanjung Priok port, Jakarta. The research method used descriptive- analytic with a cross-sectional design. The study used secondary data from medical check-up records of 256 workers in Port of Tanjung Priok. The inclusion criteria was all employees who had a medical check-up. Exclusion criteria was pregnancy and individuals with too much missing or poorly recorded information. The chi-square test and binary logistic regression were applied for analysis. The study found that metabolic syndrome prevalence was quite high in workers (38.7%). The results of a multivariate analysis showed physical activity (p = 0,003, OR = 2,238), total energy (P = 0,038, OR = 1,960), and carbohydrate intake (p = 0,014, OR = 0,490), together became the risk factor of the metabolic syndrome among workers. The dominant factor of metabolic syndrome was physical activity. The worker was susceptible to low physical activity so that the risk of metabolic syndrome was quite high. The company should improve the health promotion program in the workplace with regular screening, improved physical activity and provide a healthy meal to prevent metabolic syndrome in workers.

show abstract

“…High BMI has a two times greater risk of developing type II diabetes compared to low BMI. The results showed that general obesity had a risk of 2.24 times while abdominal obesity had a risk of 2.44 times for the occurrence of diabetes (Susilawati, 2015). Evidence on the causal impact of over nutrition on diabetes is scarce for India.…”

Section: Introductionmentioning

confidence: 99%

A structural equation modeling examining the influence of body mass index on the lipid profile of type II diabetes patients

2022

Nutr Health

View full text Add to dashboard Cite

Background: High Body Mass Index (BMI) has a two times greater risk of developing type II diabetes compared to low BMI. The results showed that general obesity had a risk of 2.24 times while abdominal obesity had a risk of 2.44 times for the occurrence of diabetes. Aim: Based on the background described, the researcher was interested in examining the influence of BMI on the lipid profile of type II diabetes patients. Methods: A considerably large sample of 500 type II diabetes patients who attended the outpatient department of Endocrinology wing of NIMS Medicity (NICER-Noorul Islam Centre for Endocrinology Research), Kerala, India were selected to the macrosample pool following purposive random sampling method. Height and weight of the patients were taken following standard methods and BMI of the patients was computed. Biochemical investigations such as their lipid profile along with Fasting, Post Prandial Blood Glucose values and HbA1C were obtained from patients’ medical records. Finally, the hypothesized model was developed and tested by Structural Equation Modeling (SEM) technique using SPSS AMOS 22.0. Results: The results show that height and weight highly influenced the BMI, among which weight, as shown by Standardized Regression Weights (SRW) Estimate- 1.102, Statistically Significant) influenced more than height (SRW Estimate:-0.683, Statistically Significant), weight had a positive influence, whereas height had a negative influence in selected Type II Diabetes patients. The model could not establish any relationship between BMI and lipid profile (SRW Estimate:-0.037, Statistically not Significant). Conclusion: The findings suggest that in diabetes patients increase in BMI alone does not lead to any alterations in their lipid profile.

show abstract

PERBANDINGAN IMT DAN INDIKATOR OBESITAS SENTRAL TERHADAP KEJADIAN DIABETES MELITUS TIPE 2 (DMT2) (Analisis data sekunder baseline studi kohor PTM di kelurahan Kebon Kalapa Bogor tahun 2011)

Cited by 3 publications

References 0 publications

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

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

The Dominant factor of metabolic syndrome among office workers

A structural equation modeling examining the influence of body mass index on the lipid profile of type II diabetes patients

Contact Info

Product

Resources

About