Can body mass index, waist circumference, waist-hip ratio and waist-height ratio predict the presence of multiple metabolic risk factors in Chinese subjects?

Liu, Yong; Tong, Guanghui; Tong, Weiwei; Lu, Liping; Qin, Xiaosong

doi:10.1186/1471-2458-11-35

Cited by 135 publications

(132 citation statements)

References 32 publications

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“…The WHRs measured in our current study were 0.85 -0.08 for the total group, 0.89 -0.08 in men and 0.82 -0.06 in women, which are different from those of other reports: 0.90 -0.09 in men and 0.91 -0.10 in women in a population-based sample of 12,514 (Das et al, 2010). Our measurements are also lower than those reported for a Chinese cohort from the Plain of Shenyang (Yong Liu et al, 2011). However, these data may not be strictly amenable to a direct comparison due to the differences between the survey times and other factors, but the crude data indicate that the BMI and WHR levels in the Yunnan-Kweichow Plateau population are relatively lower than other areas of China and other countries.…”

Section: Discussioncontrasting

confidence: 99%

Prevalence and Determinants of Hyperlipidemia in Moderate Altitude Areas of the Yunnan-Kweichow Plateau in Southwestern China

Deng

Luo²,

Huang³

et al. 2012

High Altitude Medicine & Biology

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Deng, Bingjun, Tingguang Luo, Yanfei Huang, Tianhang Shen, Jing Ma. Prevalence and determinants of hyperlipidemia in moderate altitude areas of the Yunnan-Kweichow Plateau in Southwestern China. High Alt. Med. Biol. 13:13-21.-The objective of the current study was to determine the prevalence and determinants of hyperlipidemia among the populations living at moderate altitude on the Yunnan-Kweichow Plateau in Southwestern China. We randomly recruited 1415 people for this study. These subjects underwent a physical examination and a comprehensive questionnaire regarding their daily habits and diets. Furthermore, blood samples from the participants were collected for assessing the lipid profile. We found that 49.3% of participants (95% CI: 46.7-51.9%) suffered from hyperlipidemia. The prevalence in men was significantly higher than that in women (53.6% vs. 44.7%, p < 0.01). The prevalence of hypercholesterolemia was 23.3% and of hypertriglyceridemia was 34.1%. Low HDL-C showed a prevalence of 17.5% and high LDL-C of 9.0%. The prevalence of hyperlipidemia also increased with age, as did the prevalence of high TC, TG, and LDL-C. Hyperlipidemic subjects tended to be older and have a higher BMI and WHR than the normolipidemic subjects in the study cohort ( p < 0.05). The hyperlipidemic subjects, both men and women, tended to dine out often and consume more animal-based foods and alcohol. In addition, the hyperlipidemic men in our cohort consumed more salted food then their normolipidemic counterparts ( p < 0.01). Normolipidemic subjects of both sexes were also found to prefer a vegetarian diet ( p < 0.01). Age, alcohol consumption, a preference for meat and animal products, regular dining out, and BMI were found to be the main determinants of hyperlipidemia in women, whereas a prevalence of salted food was observed to be related to hyperlipidemia in men from the Yunnan-Kweichow Plateau subpopulation under study ( p < 0.05). The average daily energy, and protein and fat intakes of the sampled subjects were also higher than the levels set by the Chinese Recommendation Nutrient Intakes (RNI), while hyperlipidemic subjects had an even higher average daily intake of total fat, cholesterol, and lower dietary fiber compared with the normolipidemic subjects in the study group ( p < 0.05). In conclusion, this study reveals a higher prevalence of hyperlipidemia, hypercholesterolemia, hypertriglyceridemia, increased BMI and WHR values in men, as well as a slightly higher prevalence of low HDL-C and high LDL-C in women from YunnanKweichow Plateau. The incidence of hyperlipidemia also increased with age, as did the prevalence of an abnormal TC, TG, LDL-C, and WHR in our study cohort. A high BMI, and less healthy living habits and dietary preferences thus play significant roles in the onset of hyperlipidemia.

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Section: Discussioncontrasting

confidence: 99%

Prevalence and Determinants of Hyperlipidemia in Moderate Altitude Areas of the Yunnan-Kweichow Plateau in Southwestern China

Deng

Luo²,

Huang³

et al. 2012

High Altitude Medicine & Biology

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“…Although higher BMI has been associated with higher blood pressures, several studies are beginning to show that elevated blood pressure may correlate better with WC and WHtR (29)(30)(31)(32). The current study showed that boys generally had lower WHtR compared to girls.…”

Section: Correlations Between Msbp/mdbp With Wc Hc and Whtrsupporting

confidence: 54%

Prevalence of Hypertension and Pre-hypertension in 13-17 Year Old Adolescents Living in Mthatha - South Africa: a Cross-Sectional Study

Nkeh-Chungag¹,

Sekokotla²,

Sewani-Rusike³

et al. 2015

Cent Eur J Public Health

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SUMMARYBackground: Hypertension is one of the most common risk factors for cardiovascular diseases (CVDs), yet not much effort is being invested in early diagnosis and control of the condition in susceptible children. The aim of this study was to investigate the prevalence of pre-hypertension and hypertension in peri-urban school-attending adolescents and explore the relationship between blood pressure and selected anthropometric measurements.Methods: A cross-sectional study of adolescents aged 13-17 years was performed. Data on height, weight, waist and hip circumferences as well as blood pressure were collected from all participants. Body mass index (BMI) and blood pressure percentiles were calculated.Results: The overall prevalence of obesity was 20.4% while the prevalence of hypertension and pre-hypertension was 21.2% and 12.3%, respectively. The prevalence of hypertension and pre-hypertension in males was 22.0% and 13.6% compared to 20.9% and 16.5% in females, respectively. Both conditions were associated with higher BMI in both girls and boys. While mean systolic blood pressure (SBP) was positively associated with higher BMI and waist circumference (WC) in males and females, it correlated negatively with hip circumference (HC) in males. On the other hand, mean diastolic blood pressure (DBP) correlated better with HC in males but only weakly in females.Conclusion: Adolescent learners in Mthatha had a high prevalence of hypertension and pre-hypertension which were associated with overweight and obesity. Results highlight the urgent need for screening in view of early detection and implementation of intervention strategies to prevent a high incidence of CVDs in this country.

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“…12 Waist-to-height ratio (WHtR) is another commonly used index to predict the risk of obesity-related morbidity and mortality. 13,14 The WHtR has a unique advantage of detecting early cardiovascular risks. Further studies contradicted the observations by Molarius et al 12 on the preference of WC to WHR as a measure of abdominal obesity.…”

Section: Introductionmentioning

confidence: 99%

Correlation between central obesity and blood pressure in an adult Nigerian population

Onuoha

Ebirim

Ajonuma

et al. 2016

JMH

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Background: Obesity has been recognised as a major risk factor in the pathogenesis of cardiovascular disease. The aim of this study is to determine the prevalence of central obesity [using waist–hip ratio (WHR) as an indicator] and the correlation between central obesity and blood pressure (BP) in adults seen in a Nigerian tertiary health facility.Materials and methods: The study was a cross-sectional design carried out between February and November 2015 at the General Outpatient Clinic of the Federal Medical Centre, Owerri, Nigeria. A total of 482 consenting adults aged 16–40 years formed the study population. Consecutive sampling was used in the recruitment of subjects, whereas data were collected by the use of an interviewer-administered questionnaire.Results: The mean age of the study population was 25.37 ± 5.49, whereas the mean WHR for men and women was 0.83 ± 0.04 and 0.82 ± 0.05, respectively. The prevalence of central obesity in the study population was 39.4% (n = 190). Female respondents had a higher prevalence (59.2%) than male respondents (8.5%), and the relationship between central obesity and sex was statistically significant (p = 0.001). Correlation analysis showed a positive correlation between WHR and BP (diastolic BP: r = 0.122, p = 0.008; systolic BP: r = 0.015, p = 0.742) in both sexes. Obese respondents were observed to be more likely to develop hypertension than the non-obese respondents.Conclusion: This study showed a correlation between central obesity and BP in adults aged 16–40 years.

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Can body mass index, waist circumference, waist-hip ratio and waist-height ratio predict the presence of multiple metabolic risk factors in Chinese subjects?

Cited by 135 publications

References 32 publications

Prevalence and Determinants of Hyperlipidemia in Moderate Altitude Areas of the Yunnan-Kweichow Plateau in Southwestern China

Prevalence and Determinants of Hyperlipidemia in Moderate Altitude Areas of the Yunnan-Kweichow Plateau in Southwestern China

Prevalence of Hypertension and Pre-hypertension in 13-17 Year Old Adolescents Living in Mthatha - South Africa: a Cross-Sectional Study

Correlation between central obesity and blood pressure in an adult Nigerian population

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