Which method should be used to determine the obesity, in patients with coronary artery disease? (body mass index, waist circumference or waist–hip ratio)

Sönmez, Kenan; Akçakoyun, Mustafa; Akçay, Ahmet; Demir, Durmus; Duran, Nilüfer Ekşi; Gençbay, Murat; Değertekin, Muzaffer; Turan, Fikret

doi:10.1038/sj.ijo.0802238

Cited by 34 publications

(18 citation statements)

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“…IMT tidak dapat membedakan antara berat yang berhubungan dengan otot dan lemak. Lingkar pinggang perut lebih akurat untuk mencerminkan obesitas sentral [38]. Walau begitu, IMT dan lingkar pinggang tidak dapat berdiri sendiri sebagai indikator obesitas yang dapat memicu penyakit degeneratif [39].…”

Section: Pembahasanunclassified

Konsumsi Fast Food, Soft Drink, Aktivitas Fisik, dan Kejadian Overweight Siswa Sekolah Dasar di Jakarta

Putri

Angkasa

Nuzrina

2017

IJHN

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AbstrakPrevalensi overweight pada anak umur 5-12 tahun di provinsi Jakarta tertinggi (30,1%, nasional 10,8%) Tujuan penelitian ialah 1) menganalisis hubungan konsumsi fast food, soft drink, dan aktivitas fisik (AF) dengan kejadian overweight 2) mengetahui perbedaan asupan, lingkar pinggang (LP) dan total lemak tubuh (TLB) pada anak sekolah dasar. Studi potong lintang dilakukan dengan jumlah responden yang terdiri dari masing-masing 57 anak overweight dan berat normal di sekolah dasar negeri di Jakarta. Konsumsi fast food,soft drink diukur dengan FFQ, asupan energi dan zat gizi makro dengan recall tiga hari tak berturut, AF dengan kuesioner aktivitas fisik anak, LP dengan pita standar dan TLB dengan bodyfat analyzer. Odd risk/OR (95%CI) dan uji beda sebagai uji statistik, signifikan jika (p<0,05). Hasil menunjukkan anak dengan AF ringan, konsumsi gorengan (≥3x/minggu), dan minuman bergula (≥3x/minggu) berisiko 2,5 (95% CI 1,19-5,39), 6,8 (CI 2,82-16,52), dan 10,7 (CI 4,46-25,72) kali mengalami overweight, secara berturut, dibanding anak dengan AF sedang, konsumsi gorengan dan minuman gula tinggi (masing-masing <3x/minggu). Ada perbedaan yang signifikan antara kelompok overweight dibanding beratnormal berdasarkan asupan energi dan zat gizi makro, LP dan TLB. Perlu ditekankan pola makan dan pola hidup sehat untuk menghindari dampak negatif overweight di masa depan. Kata kunci: fast food, IMT, lemak tubuh, lingkar pinggang, soft drink Abstract The prevalence of overweight children aged 5-12 years in Jakarta province is the highest (30.1%, national is 10.8%). This study aims (1.) to analyze the relationship among fast food, soft drink, and physical activity (PA) with overweight status and (2.) to know the difference of intake, waist circumference (WC), and total body fat (TBF) in

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Section: Pembahasanunclassified

Konsumsi Fast Food, Soft Drink, Aktivitas Fisik, dan Kejadian Overweight Siswa Sekolah Dasar di Jakarta

Putri

Angkasa

Nuzrina

2017

IJHN

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“…4. Specifically, there is a tendency over-report height and understate weight (Strauss, 1999;Goodman et al, 2000;Kuczmarski et al, 2001 (Sönmez et al, 2003), waist-hip ratio (Dalton et al, 2003), or waist-height ratio (Cox and Whichelow, 1996). Cawley and Burkhauser (2008) recommend the use of Bioelectrical Impedance Analysis (BIA).…”

Section: Empirical Methodsmentioning

confidence: 99%

Current and Future Prevalence of Obesity and Severe Obesity in the United States

Ruhm

2007

Forum for Health Economics &Amp; Policy

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Abstract:This study examines past patterns and projects future prevalence rates of obesity and severe obesity among US adults. Trends in body mass index (BMI), overweight (BMI 25), obesity (BMI 30), class 2 obesity (BMI 35), class 3 obesity (BMI 40) and class 4 obesity (BM 45) of 20-74 year olds are obtained using data from the first National Health Examination Survey and the National Health and Nutrition Examination Surveys. Quantile regression methods are then used to forecast future prevalence rates through 2020. By that year, 77.6% of men are predicted to be overweight and 40.2% obese, with class 2, 3 and 4 obesity prevalence rates projected at 16.4%, 6.3% and 3.1%. The corresponding forecasts for women are 71.1%, 43.3%, 25.3%, 12.8% and 5.6%. The large growth predicted for severe obesity represents a major public health challenge, given the accompanying high medical expenditures and elevated risk of mortality and morbidity. Combating severe obesity is likely to require strategies targeting the particularly large weight gains of the heaviest individuals.

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“…BMI, WC and WHR are primary parameters to determine obesity. BMI primarily reflects generalized obesity, while WC and WHR are related to central obesity, where body fat is primarily located in the abdomen (Sonmez et al, 2003). Visceral fat is an important source of free fatty acids and inflammatory mediators, such as TNF-a, interleukins, and adipokines, which are directly delivered to the liver via the portal vein, affecting hepatic glucose and fat metabolism.…”

Section: Kaur Et Almentioning

confidence: 99%

Association of −2518A>G Promoter Polymorphism in the Monocyte Chemoattractant Protein-1 (MCP-1) Gene with Type 2 Diabetes and Coronary Artery Disease

Kaur

Matharoo

Arora³

et al. 2013

Genetic Testing and Molecular Biomarkers

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Aims: Inflammatory markers play an important role in the development of diseases related to metabolic syndrome, such as type 2 diabetes (T2D) and coronary artery disease (CAD). The present study evaluates the association of -2518A > G polymorphism in the monocyte chemoattractant protein-1 (MCP-1) gene with T2D and CAD. Results: The frequency of the G allele is greater in CAD cases (35%) as compared to T2D (24.6%) and controls (31%), while the frequency of the A allele is higher in T2D cases (75.4%) as compared to CAD cases (65%) and controls (69%). The analysis has revealed that in comparison to T2D cases, the G allele increases the risk of CAD by 1.9-fold ( p = 0.008; odds ratio [OR] = 1.9, 1.18-3.06 at 95% confidence interval [CI]) but in comparison to controls the G-allele provided protection against T2D ( p = 0.011; OR = 0.55, 0.35-0.87 at 95% CI), both under the dominant model (AG + GG vs. AA). Conclusion: Results of the present study suggests that G-allele of MCP-1 -2518A > G polymorphism is associated with reduced risk of T2D and increased risk of CAD in the population of Punjab. The results indicate that there is a difference in the association of risk alleles with phenotypes of metabolic syndrome. Body mass index and waist circumference are important risk factors for T2D in the population of Punjab.

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Which method should be used to determine the obesity, in patients with coronary artery disease? (body mass index, waist circumference or waist–hip ratio)

Cited by 34 publications

References 34 publications

Konsumsi Fast Food, Soft Drink, Aktivitas Fisik, dan Kejadian Overweight Siswa Sekolah Dasar di Jakarta

Konsumsi Fast Food, Soft Drink, Aktivitas Fisik, dan Kejadian Overweight Siswa Sekolah Dasar di Jakarta

Current and Future Prevalence of Obesity and Severe Obesity in the United States

Association of −2518A>G Promoter Polymorphism in the Monocyte Chemoattractant Protein-1 (MCP-1) Gene with Type 2 Diabetes and Coronary Artery Disease

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