Relationship between obesity and coronary heart disease among urban Bangladeshi men and women

Salivary oxidative stress biomarkers in chronic periodontitis and acute coronary syndrome

OBJECTIVES

The study aimed at assessing oxidative stress (OS) biomarker levels in the saliva of patients with chronic periodontitis (CP) and acute coronary syndrome (ACS) and establishing their correlation to periodontal parameters and markers for cardiovascular events.

MATERIALS AND METHODS

The present study enrolled 24 patients with ACS and CP (the ACSCP group), 24 patients with ACS only (the ACS group), 24 patients with CP only (the CP group), and 24 healthy controls. Plaque index (PI), gingival index, bleeding on probing, probing pocket depth (PPD), and clinical attachment loss were recorded. Markers for cardiovascular events included serum high sensitivity C-reactive protein (hsCRP) and plasma fibrinogen. 8-Hydroxydeoxyguanosine (8-OHdG), protein carbonyl (PC), malondialdehyde (MDA), and total antioxidant capacity (TAOC) were used as OS biomarkers.

RESULTS

Salivary 8-OHdG, MDA, and PC levels were significantly higher in the ACSCP, ACS, and CP groups than in healthy controls (p < 0.05). There were significant correlations between salivary PC levels and PI or PPD (p < 0.05) as well as between salivary 8-OHdG levels and all periodontal parameters (p < 0.05). TAOC levels in saliva were correlated to both serum hsCRP and plasma fibrinogen (p < 0.05). Salivary MDA levels were correlated to all periodontal parameters and biomarkers for cardiovascular events (p < 0.05).

CONCLUSIONS

Salivary OS biomarker levels were higher in diseased groups compared to control. They also correlated to clinical periodontal parameters and markers for cardiovascular events in ACS patients, with or without CP.

CLINICAL RELEVANCE

Salivary OS biomarkers could potentially serve as diagnostic tools for cardiovascular and/or periodontal diseases.

The Interactive Association of General Obesity and Central Obesity with Prevalent Hypertension in Rural Lanzhou, China

OBJECTIVE

To evaluate the interactive association between obesity with different anthropometry indices and prevalence of hypertension in rural Lanzhou.

METHODS

A cross-sectional survey was conducted in rural Lanzhou from April to July in 2013. The available information of 1275 rural residents aged more than 35 years was collected with a unified questionnaire and their blood pressure and anthropometry indices were measured in the field. The male-to-female ratio was 1:1.1. A generalized estimate equation (GEE) linear model was used to determine the association between obesity with different indexes and hypertension.

RESULTS

There was a moderate prevalence of general obesity (~11%) and very high prevalence of central obesity (53.2~67%) among the adults of rural Lanzhou. The prevalence of hypertension approximated 28%. GEE linear models showed that obesity with any one of anthropometry indices was associated significantly with the increased prevalence of hypertension among both males and females. In females, general obesity increased the prevalence of hypertension by 37% (0.37, 95%CI: 0.27,0.47) but in males by 23% (0.23, 95%CI: 0.12,0.35). The hypertensive effect of all central obesity was much lower than that of general obesity but approximately comparable to that of overweight. In addition, the interactions of the classified body mass index (BMI) and central obesity showed that when general obesity or overweight coexisted with any one of central obesity, the prevalence of hypertension was increased significantly, and this effect was a little higher than the corresponding main effect of general obesity or overweight in females but was much higher in males. In addition, general obesity or overweight which did not coexist with central obesity was not significantly associated with the increased prevalence of hypertension, nor were the other situations of central obesity in the normal weight or underweight except for the situation of central obesity with waist-to-hip ratio in the males of normal weight or underweight.

CONCLUSION

In rural Lanzhou, higher BMI had larger associations with the increased prevalence of hypertension than central obesity indices. Only when general obesity or overweight coexisted with central obesity, the prevalence of hypertension was significantly increased. So, central obesity indices should be used jointly with BMI in evaluating the risk of hypertension.

LMS tables for waist circumference and waist-height ratio in Colombian adults: analysis of nationwide data 2010

BACKGROUND/OBJECTIVES

Indices predictive of central obesity include waist circumference (WC) and waist-to-height ratio (WHtR). These data are lacking for Colombian adults. This study aims at establishing smoothed centile charts and LMS tables for WC and WHtR; appropriate cutoffs were selected using receiver-operating characteristic analysis based on data from the representative sample.

SUBJECTS/METHODS

We used data from the cross-sectional, national representative nutrition survey (ENSIN, 2010). A total of 83 220 participants (aged 20-64) were enroled. Weight, height, body mass index (BMI), WC and WHtR were measured and percentiles calculated using the LMS method (L (curve Box-Cox), M (curve median), and S (curve coefficient of variation)). Receiver operating characteristics curve analyses were used to evaluate the optimal cutoff point of WC and WHtR for overweight and obesity based on WHO definitions.

RESULTS

Reference values for WC and WHtR are presented. Mean WC and WHtR increased with age for both genders. We found a strong positive correlation between WC and BMI (r=0.847, P< 0.01) and WHtR and BMI (r=0.878, P<0.01). In obese men, the cutoff point value is 96.6 cm for the WC. In women, the cutoff point value is 91.0 cm for the WC. Receiver operating characteristic curve for WHtR was also obtained and the cutoff point value of 0.579 in men, and in women the cutoff point value was 0.587. A high sensitivity and specificity were obtained.

CONCLUSIONS

This study presents first reference values of WC and WHtR for Colombians aged 20-64. Through LMS tables for adults, we hope to provide quantitative tools to study obesity and its complications.