scholarly journals Alcohol intake in relation to body mass index and waist-to-hip ratio: the importance of type of alcoholic beverage

2005 ◽  
Vol 8 (3) ◽  
pp. 315-320 ◽  
Author(s):  
Esther Lukasiewicz ◽  
Louise I Mennen ◽  
Sandrine Bertrais ◽  
Nathalie Arnault ◽  
Paul Preziosi ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Alcohol Consumption ◽  
Body Mass ◽  
Alcoholic Beverage ◽  
Alcoholic Beverages ◽  
Cross Sectional ◽  
Men And Women ◽  
Waist To Hip Ratio ◽  
Dietary Records ◽  
Total Alcohol

AbstractObjectiveAlcohol consumption may play a role in the development of obesity but the relationship between alcohol and weight is still unclear. The aim of our study was to assess the cross-sectional association of intakes of total alcohol and of specific alcoholic beverages (wine, beer and spirits) with waist-to-hip ratio (WHR) and body mass index (BMI) in a large sample of adults from all over France.DesignCross-sectional.SettingParticipants were free-living healthy volunteers of the SU.VI.MAX study (an intervention study on the effects of antioxidant supplementation on chronic diseases).SubjectsFor 1481 women aged 35–60 years and 1210 men aged 45–60 years, intakes of total alcohol and specific alcoholic beverages were assessed by six 24-hour dietary records. BMI and WHR were measured during a clinical examination the year after.ResultsA J-shaped relationship was found between total alcohol consumption and WHR in both sexes and between total alcohol consumption and BMI in men only (P < 0.05). The same relationships were observed with wine (P < 0.05); men and women consuming less than 100 g day−1 had a lower BMI (men only) and WHR than non-drinkers or those consuming more. Spirits consumption was positively associated with BMI (linear regression coefficient β = 0.21, 95% confidence interval (CI): 0.09–0.34 and β = 0.22, 95% CI: 0.06–0.39 for men and women, respectively) and WHR (β = 0.003, 95% CI: 0.001–0.005 and β = 0.003, 95%CI: 0.0002–0.006) in both sexes in a linear fashion. No relationship between beer consumption and BMI or WHR was found.ConclusionIf confirmed in longitudinal studies, our results indicate that consumption of alcoholic beverages may be a risk factor for obesity.

scholarly journals Serum urate and its relationship with alcoholic beverage intake in men and women: findings from the Coronary Artery Risk Development in Young Adults (CARDIA) cohort

2010 ◽  
Vol 69 (11) ◽  
pp. 1965-1970 ◽  
Author(s):  
Angelo L Gaffo ◽  
Jeffrey M Roseman ◽  
David R Jacobs ◽  
Cora E Lewis ◽  
James M Shikany ◽  
...  
Keyword(s):  
Young Adults ◽  
Alcohol Intake ◽  
Alcoholic Beverage ◽  
Serum Urate ◽  
Alcoholic Beverages ◽  
Cross Sectional ◽  
Small Magnitude ◽  
Men And Women ◽  
Total Alcohol

ObjectiveTo investigate if beer, liquor (spirits), wine and total alcohol intakes have different associations with serum urate (SU) concentrations at different ages in a cohort of young men and women.MethodsData from 3123 participants at baseline and follow-up at 20 years were used, with balanced proportions of Caucasians and African Americans. The relationships of SU with categories of beer, liquor, wine and total alcohol intake referent to no intake were examined in sex-specific, cross-sectional analyses.ResultsMean age (SD) at the beginning of follow-up was 25.1 (3.6) years. Compared with non-drinkers, significant associations between higher SU concentrations and greater beer intake were observed among men and women, with more pronounced and consistent associations for women. An association between greater liquor intake and higher SU concentrations was only seen for men at the year 20 evaluation. Wine intake was not associated with SU in either sex and total alcohol was associated with higher SU concentrations in both men and women. The magnitude of the associations between alcoholic beverages intake and SU was modest (≤0.03 mg/dl/alcoholic beverage serving).ConclusionAn association between higher SU concentrations and greater beer intake was consistent and pronounced among women, but also present in men. Despite the small magnitude of the increases in SU associated with alcohol intake, clinical implications in conditions such as cardiovascular disease and gout in young adults who are moderate and heavy drinkers cannot be ruled out.

scholarly journals Female waist-to-hip ratio, body mass index and sexual attractiveness in China

2010 ◽  
Vol 56 (2) ◽  
pp. 175-181 ◽  
Author(s):  
B.J. Dixson ◽  
Baoguo Li ◽  
A.F. Dixson
Keyword(s):  
Body Mass Index ◽  
Adipose Tissue ◽  
Body Mass ◽  
Body Fat ◽  
Crucial Role ◽  
Female Body ◽  
Sexual Attractiveness ◽  
Men And Women ◽  
Female Figure ◽  
Waist To Hip Ratio

Abstract Men and women at Northwest University (n=751), Xi'an, China were asked to judge the attractiveness of photographs of female patients who had undergone micrograft surgery to reduce their waist-to-hip ratios (WHR). Micrograft surgery involves harvesting adipose tissue from the waist and reshaping the buttocks to produce a low WHR and an ‘hourglass’ female figure. This gynoid distribution of female body fat has been shown to correlate with measures of fertility and health. Significantly larger numbers of subjects, of both sexes, chose post-operative photographs, with lower WHRs, as more attractive than pre-operative photographs of the same women. Some patients had gained, and some had lost weight, post-operatively, with resultant changes in body mass index (BMI). However, these changes in BMI were not related to judgments of attractiveness. These results show that the hourglass female figure is rated as attractive in China, and that WHR, rather than BMI, plays a crucial role in such attractiveness judgments.

scholarly journals Nonlinear relationship between serum uric acid and body mass index: a cross-sectional study of a general population in coastal China

2019 ◽  
Vol 17 (1) ◽  
Author(s):  
Hui Zhou ◽  
Zhen Liu ◽  
Zhong Chao ◽  
Yeqing Chao ◽  
Lidan Ma ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Uric Acid ◽  
General Population ◽  
Serum Uric Acid ◽  
Body Mass ◽  
Large Scale ◽  
Cross Sectional ◽  
Men And Women ◽  
Nadir Point ◽  
Coastal China

Abstract Background Conflicting evidence exists on the relationship between body mass index (BMI) and serum uric acid (SUA). Therefore, we aimed to evaluate the SUA–BMI relationship in a large-scale epidemiological survey in coastal China. Methods This survey was conducted among the general population in the coastal region of China from September 2014 to January 2015. SUA Levels were measured by the automatic Sysmex Chemix-180 biochemical analyzer. Results A total of 6098 men (BMI: 24.58 ± 3.74 kg/m2) and 7941 women (24.56 ± 3.64 kg/m2) were included in this study. A stronger positive BMI-SUA association was found for men than women (all P-values < 0.05). The piecewise linear spline models indicated a U-shaped relationship of SUA-BMI association for both men and women; and the lowest turning points were at 19.12 kg/m2 for men and 21.3 kg/m2 for women. When BMIs were lower than the nadir point, each 1 kg/m2 increase in BMI related to a 7.74-fold (95% CI − 14.73, − 0.75) reduction for men and 2.70-fold reduction (− 4.47, − 0.94) for women in SUA levels. Once the BMI was higher than the nadir point, each 1 kg/m2 increase in BMI was related to a 5.10-fold (4.44, 5.77) increment for men and 3.93-fold increment (3.42, 4.43) for women in SUA levels. The regression coefficient differences between the two stages were 12.84 (5.66, 20.03) for men and 6.63 (4.65, 8.61) for women. Conclusions A U-shaped relationship between BMI and SUA was found for both men and women; the association was stronger for men than women.

scholarly journals The Prevalence, Incidence, and Progression of Hand Osteoarthritis in Relation to Body Mass Index, Smoking, and Alcohol Consumption

2017 ◽  
Vol 44 (9) ◽  
pp. 1402-1409 ◽  
Author(s):  
Ida K. Haugen ◽  
Karin Magnusson ◽  
Aleksandra Turkiewicz ◽  
Martin Englund
Keyword(s):  
Body Mass Index ◽  
Alcohol Consumption ◽  
Body Mass ◽  
Hand Osteoarthritis ◽  
Moderate Alcohol Consumption ◽  
Cross Sectional ◽  
Current Smoking ◽  
Sum Score ◽  
Osteoarthritis Initiative ◽  
Radiographic Changes

Objective.To estimate the extent that overweight/obesity, smoking, and alcohol are associated with prevalence and longitudinal changes of radiographic hand osteoarthritis (OA).Methods.Participants from the Osteoarthritis Initiative (n = 1232) were included, of whom 994 had 4-year followup data. In analyses on incident hand OA, only persons without hand OA at baseline were included (n = 406). Our exposure variables were overweight/obesity [body mass index (BMI), waist circumference], smoking (current/former, smoking pack-yrs), and alcohol consumption (drinks/week). Using linear and logistic regression analyses, we analyzed possible associations between baseline exposure variables and radiographic hand OA severity, erosive hand OA, incidence of hand OA, and radiographic changes. Analyses were adjusted for age, sex, and education.Results.Neither overweight nor obesity were associated with hand OA. Current smoking was associated with less hand OA in cross-sectional analyses, whereas longitudinal analyses suggested higher odds of incident hand OA in current smokers (OR 2.20, 95% CI 1.02–4.77). Moderate alcohol consumption was associated with higher Kellgren-Lawrence sum score at baseline (1–3 drinks: 1.55, 95% CI 0.43–2.67) and increasing sum score during 4-year followup (4–7 drinks: 0.33, 95% CI 0.01–0.64). Moderate alcohol consumption (1–7 drinks/week) was associated with 2-fold higher odds of erosive hand OA, which was statistically significant. Additional adjustment for BMI gave similar strengths of associations.Conclusion.Overweight/obesity were not associated with hand OA. Contrasting results were observed for smoking and hand OA, suggesting lack of association. Moderate alcohol consumption was associated with hand OA severity, radiographic changes, and erosive hand OA, warranting further investigation.

The association between lunch composition and obesity in Iranian adults

2021 ◽  
pp. 1-36
Author(s):  
Zahra Akbarzade ◽  
Kurosh Djafarian ◽  
Nasim Saeidifard ◽  
Shabnam Aliakbari Majd ◽  
Nazila Garousi ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Dietary Patterns ◽  
Central Obesity ◽  
Principal Component ◽  
Principal Component Factor Analysis ◽  
Dietary Intakes ◽  
Food Groups ◽  
Cross Sectional ◽  
Waist To Hip Ratio

Abstract We aimed to assess the dietary composition of lunch meal using a posteriori derived dietary patterns and to determine the association of lunch composition with obesity in a sample of Iranian adults. This cross-sectional study was conducted on 850 men and women in Tehran (aged 20-59 y). Dietary intakes were assessed using three 24-h dietary recalls, and dietary patterns were identified via principal component factor analysis. For each identified pattern, scores were calculated for each participant and then classified into tertiles. Central obesity was defined WHO criteria. General obesity was defined as a body mass index of more than 30 kg/m2. Three major dietary patterns were identified at lunch meal using 12 food groups: “Bread, grains and fat”, “Western”, and “Potato and eggs”. After adjustment for potential confounders, participants at the top tertile of the “Bread, grains and fat” dietary pattern had greater odds for a higher waist to hip ratio, compared with those in the lowest tertile (OR, 1.44; 95% CI: 1.01 to 2.07). However, we found no association between ‘Western or ‘“potato and eggs” patterns and waist to hip ratio (OR 0.89, 95% CI: 0.62 to 1.28 and OR 1.16, 95% CI: 0.69 to 1.42, respectively). None of the identified dietary patterns was associated when defining obesity with waist circumference or body mass index. In conclusion, participants had a greater chance of central obesity defined based on waist to hip ratio following a lunchtime pattern with a higher and positive loading factor for “Bread, grains and fat”.

scholarly journals Waist-To-Hip Ratio Predicts Abnormal Overnight Oximetry in Men Independent of Body Mass Index

2021 ◽  
Vol 8 ◽  
Author(s):  
Joshua M. Bock ◽  
Kirk J. Rodysill ◽  
Andrew D. Calvin ◽  
Soumya Vungarala ◽  
Karine R. Sahakyan ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Strong Association ◽  
Cost Effective ◽  
Middle Aged ◽  
Cross Sectional ◽  
Waist To Hip Ratio ◽  
Obstructive Sleep ◽  
Overnight Oximetry ◽  
Abnormal Results

Background: Ambulatory overnight oximetry (OXI) has emerged as a cost-effective initial test for sleep disordered breathing. Obesity is closely associated with obstructive sleep apnea (OSA); however, whether body mass index (BMI) or waist-to-hip ratio (WHR) predicts abnormal overnight OXI remains unknown.Methods: We performed a retrospective cross-sectional study of 393 men seen in the Executive Health Program at Mayo Clinic in Rochester, Minnesota who underwent ambulatory overnight OXI ordered by preventive medicine physicians between January 1, 2004 through December 31, 2010. We compared participant/spouse-reported symptoms (sleepiness, snoring), physician indications for OXI (obesity, fatigue), Epworth Sleepiness Scale scores, anthropomorphic measurements (WHR, BMI), and comorbid medical conditions (hypertension, diabetes) with OXI results.Results: 295 of the 393 men who completed OXI had abnormal results. During multivariate analysis, the strongest independent predictor of abnormal OXI for men was WHR (≥1.0, OR = 5.59) followed by BMI (≥30.0 kg/m2, OR = 2.75), age (≥55 yrs, OR = 2.06), and the presence of snoring (OR = 1.91, P &lt; 0.05 for all). A strong association was observed between WHR and abnormal OXI in obese (BMI ≥ 30.0 kg/m2, OR = 6.28) and non-obese (BMI &lt; 29.9 kg/m2, OR = 6.42, P &lt; 0.01 for both) men. Furthermore, 88 men with abnormal OXI underwent polysomnography with 91% being subsequently diagnosed with OSA.Conclusions: In ambulatory, predominantly middle-aged men undergoing preventive services evaluation many physician indications for OXI were not predictors of abnormal results; however, WHR strongly predicted abnormal OXI in obese and non-obese men. As such, we suggest middle-aged men who snore and have a WHR ≥1.0 should be directly referred to a sleep clinic for polysomnography.

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