Obesity and ovarian cancer risk: A systematic review

2017 ◽  
Vol 23 (4) ◽  
pp. 183-198 ◽  
Author(s):  
Ke Wei Foong ◽  
Helen Bolton
Keyword(s):  
Ovarian Cancer ◽  
Body Mass Index ◽  
Cancer Risk ◽  
Body Mass ◽  
Positive Association ◽  
Final Analysis ◽  
Ovarian Tumour ◽  
Normal Weight ◽  
Ovarian Cancer Risk ◽  
Significant Positive Association

The association between obesity and ovarian cancer risk has been extensively investigated, but studies have yielded inconsistent findings. This review aims to summarise and discuss the evidence generated to date. Articles published in English prior to August 2016 were retrieved from PubMed. Keywords included obesity, overweight, body size, body mass index, waist–hip ratio, waist circumference, body weight, ovarian cancer, ovarian carcinoma, ovarian neoplasm, and ovarian tumour. Eligible studies compared two or more groups of women, with at least one group in the overweight or obese category and one comprising normal weight controls. Summary data in the form of relative risk, hazard ratio, or odds ratio for each comparison group from individual studies were collated and reviewed. Forty-three studies were included in the final analysis, with a total of 3,491,943 participants. All studies included body mass index as an exposure measure, and a majority relied on self-reported measures from participants; 14 studies found a statistically significant positive association between ovarian cancer risk and higher body mass index, 26 studies found no significant association, and 3 studies found a negative association between ovarian cancer risk and higher body mass index. This review concludes that there is limited, inconsistent evidence of a positive association between obesity and ovarian cancer risk.

Weight, height, and body mass index and ovarian cancer risk in a prospective study

2004 ◽  
Vol 14 (8) ◽  
pp. 592
Author(s):  
J.V. Lacey ◽  
M.F. Leitzmann ◽  
L.A. Brinton ◽  
J.H. Lubin ◽  
M.E. Sherman ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Body Mass Index ◽  
Cancer Risk ◽  
Prospective Study ◽  
Body Mass ◽  
Ovarian Cancer Risk ◽  
A Prospective Study

Abstract C070: Racial disparities in body mass index and ovarian cancer risk in the OCWAA Consortium

2020 ◽  
Author(s):  
Elisa V Bandera ◽  
Fabian Camacho ◽  
Deanna Chyn ◽  
Emily K Cloyd ◽  
Traci N Bethea ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Body Mass Index ◽  
Cancer Risk ◽  
Racial Disparities ◽  
Body Mass ◽  
Ovarian Cancer Risk

scholarly journals Body mass index and clinical outcomes in patients with intracerebral haemorrhage: results from the China Stroke Center Alliance

2021 ◽  
pp. svn-2020-000534
Author(s):  
Zhentang Cao ◽  
Xinmin Liu ◽  
Zixiao Li ◽  
Hongqiu Gu ◽  
Yingyu Jiang ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Hospital Mortality ◽  
Body Mass ◽  
Intracerebral Haemorrhage ◽  
Final Analysis ◽  
Normal Weight ◽  
Discharge Disposition ◽  
Increased Risk ◽  
Significant Difference ◽  
Stroke Center

Background and aimObesity paradox has aroused increasing concern in recent years. However, impact of obesity on outcomes in intracerebral haemorrhage (ICH) remains unclear. This study aimed to evaluate association of body mass index (BMI) with in-hospital mortality, complications and discharge disposition in ICH.MethodsData were from 85 705 ICH enrolled in the China Stroke Center Alliance study. Patients were divided into four groups: underweight, normal weight, overweight and obese according to Asian-Pacific criteria. The primary outcome was in-hospital mortality. The secondary outcomes included non-routine discharge disposition and in-hospital complications. Discharge to graded II or III hospital, community hospital or rehabilitation facilities was considered non-routine disposition. Multivariable logistic regression analysed association of BMI with outcomes.Results82 789 patients with ICH were included in the final analysis. Underweight (OR=2.057, 95% CI 1.193 to 3.550) patients had higher odds of in-hospital mortality than those with normal weight after adjusting for covariates, but no significant difference was observed for patients who were overweight or obese. No significant association was found between BMI and non-disposition. Underweight was associated with increased odds of several complications, including pneumonia (OR 1.343, 95% CI 1.138 to 1.584), poor swallow function (OR 1.351, 95% CI 1.122 to 1.628) and urinary tract infection (OR 1.532, 95% CI 1.064 to 2.204). Moreover, obese patients had higher odds of haematoma expansion (OR 1.326, 95% CI 1.168 to 1.504), deep vein thrombosis (OR 1.506, 95% CI 1.165 to 1.947) and gastrointestinal bleeding (OR 1.257, 95% CI 1.027 to 1.539).ConclusionsIn patients with ICH, being underweight was associated with increased in-hospital mortality. Being underweight and obese can both increased risk of in-hospital complications compared with having normal weight.

Serum leptin levels and energy expenditure in normal weight women

1998 ◽  
Vol 76 (2) ◽  
pp. 237-241 ◽  
Author(s):  
L J Martin ◽  
PJH Jones ◽  
R V Considine ◽  
W Su ◽  
N F Boyd ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Food Intake ◽  
Energy Expenditure ◽  
Body Mass ◽  
Body Fat ◽  
Positive Association ◽  
Normal Weight ◽  
Serum Leptin ◽  
Percentage Body Fat ◽  
Healthy Humans

To investigate whether circulating leptin levels are associated with energy expenditure in healthy humans, doubly labeled water energy measurements and food intake assessment were carried out in 27 women (mean age, 48.6 years; weight, 61.9 kg; body mass index, 23.2). Energy expenditure was determined over 13 days. Food intake was measured by 7-day food records. Leptin was measured by radioimmunoassay. Leptin level was strongly associated with percentage body fat (r = 0.59; p < 0.001), fat mass (r = 0.60; p < 0.001), and body mass index (r = 0.41; p = 0.03), but no correlation was observed with energy expenditure (r = 0.02; p = 0.93). After controlling for percentage body fat, a positive association of leptin level with energy expenditure of marginal significance (p = 0.06) was observed. There were no significant univariate associations of age, physical activity, lean body mass, height, or dietary variables with leptin level. When controlling for body fat, a significant positive correlation was observed for percent energy from carbohydrate and negative correlations with dietary fat and alcohol intake. These findings confirm previous associations between leptin and body fat content and suggest a relationship between serum leptin and energy expenditure level in healthy humans.Key words: leptin, energy expenditure, body composition, diet.

scholarly journals Body mass index and lifetime healthcare utilization

2019 ◽  
Author(s):  
Christina Hansen Edwards ◽  
Eline Aas ◽  
Jonas Minet Kinge
Keyword(s):  
Primary Care ◽  
Body Mass Index ◽  
Healthcare Utilization ◽  
Body Mass ◽  
Secondary Care ◽  
Positive Association ◽  
Normal Weight ◽  
Overweight And Obesity ◽  
Care Utilization ◽  
Global Public Health

Abstract Background: Overweight and obesity is a major global public health challenge, and understanding the implications for healthcare systems is essential for policy planning. Past studies have typically found positive associations between obesity and healthcare utilization, but these studies have not taken into consideration that obesity is also associated with early mortality. We examined associations between body mass index (BMI, reported as kg/m2) and healthcare utilization with and without taking BMI-specific survival into consideration. Methods: We used nationally representative data on 33 882 adults collected between 2002 and 2015. We computed BMI- and age-specific primary and secondary care utilization and multiplied the estimated values with gender-, age-, and BMI-specific probabilities of surviving to each age. Then, we summed the average BMI-specific utilization between 18 and 85 years. Results: During a survival-adjusted lifetime, males with normal weight (BMI: 18.5–24.9) had, on average, 167 primary care, and 77 secondary care contacts. In comparison, males with overweight (BMI: 25.0–29.9), category I obesity (BMI: 30.0–34.9), and category II/III obesity (BMI ≥35.0) had 11%, 41%, and 102% more primary care, and 14%, 29%, and 78% more secondary care contacts, respectively. Females with normal weight had, on average, 210 primary care contacts and 91 secondary care contacts. Females with overweight, category I obesity, and category II/III obesity had 20%, 34%, and 81% more primary care contacts, and 26%, 16%, and 16% more secondary care contacts, respectively. Conclusion: The positive association between BMI and healthcare utilization was reduced, but not offset, when BMI-specific survival was taken into consideration. Our findings underpin previous research and suggest that interventions to offset the increasing prevalence of overweight, and especially obesity, are warranted.

Positive Association Between Body Mass Index and Hematologic Parameters, Including RBC, WBC and Platelet Count, in Korean Children and Adolescent

2021 ◽  
Author(s):  
Hwal Rim Jeong ◽  
Young Seok Shim
Keyword(s):  
Body Mass Index ◽  
Children And Adolescents ◽  
Body Mass ◽  
Linear Regression Analysis ◽  
Positive Association ◽  
Multiple Linear Regression Analysis ◽  
Normal Weight ◽  
Overweight And Obesity ◽  
Korean Children ◽  
Children And Adolescent

Abstract Objective: To investigate the associations between hematologic parameters and obesity in children and adolescents.Methods: A total of 7,997 subjects (4,259 boys, 3,738 girls) aged 10–18 years was enrolled and hematologic parameters, including WBC, RBC, Hb, Hct, and platelet levels, were recorded and compared against body mass index (BMI) classified into normal-weight, overweight, and obesity groups.Results : The obesity group had significantly higher mean levels of WBC (7.16 vs. 6.16 (x103/mm3), p<0.001), RBC (4.90 vs. 4.82 (x106/mm3), p<0.001), Hb (14.07 vs. 13.99 (g/dL), p<0.05), Hct (42.31 vs. 41.91 (%), p<0.001) and platelets (311.87 vs. 282.66 (x103/mm3), p<0.001) than the normal-weight group after adjusting for obesity and sex. BMI SDS was significantly positively associated with WBC (β=0.275, p<0.001), RBC (β=0.028, p<0.001), Hb (β=0.034, p<0.001), Hct (β=0.152, p<0.001), and platelets (β=8.372, p<0.001) after adjusting for age, sex, and possible socioeconomic confounders in a multiple linear regression analysis.Conclusion: Higher BMI is associated with elevated WBC, RBC, Hb, Hct and platelet counts in children and adolescents. Because higher hematologic parameters are potential risk factors for obesity-related morbidity, more attention should be paid to evaluating and interpreting hematologic parameters in children and adolescents with obesity

scholarly journals Body mass index and lifetime healthcare utilization

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Christina Hansen Edwards ◽  
Eline Aas ◽  
Jonas Minet Kinge
Keyword(s):  
Primary Care ◽  
Body Mass Index ◽  
Healthcare Utilization ◽  
Body Mass ◽  
Secondary Care ◽  
Positive Association ◽  
Normal Weight ◽  
Overweight And Obesity ◽  
Care Utilization ◽  
Global Public Health

Abstract Background Overweight and obesity is a major global public health challenge, and understanding the implications for healthcare systems is essential for policy planning. Past studies have typically found positive associations between obesity and healthcare utilization, but these studies have not taken into consideration that obesity is also associated with early mortality. We examined associations between body mass index (BMI, reported as kg/m2) and healthcare utilization with and without taking BMI-specific survival into consideration. Methods We used nationally representative data on 33 882 adults collected between 2002 and 2015. We computed BMI- and age-specific primary and secondary care utilization and multiplied the estimated values with gender-, age-, and BMI-specific probabilities of surviving to each age. Then, we summed the average BMI-specific utilization between 18 and 85 years. Results During a survival-adjusted lifetime, males with normal weight (BMI: 18.5–24.9) had, on average, 167 primary care, and 77 secondary care contacts. In comparison, males with overweight (BMI: 25.0–29.9), category I obesity (BMI: 30.0–34.9), and category II/III obesity (BMI ≥35.0) had 11%, 41%, and 102% more primary care, and 14%, 29%, and 78% more secondary care contacts, respectively. Females with normal weight had, on average, 210 primary care contacts and 91 secondary care contacts. Females with overweight, category I obesity, and category II/III obesity had 20%, 34%, and 81% more primary care contacts, and 26%, 16%, and 16% more secondary care contacts, respectively. Conclusion The positive association between BMI and healthcare utilization was reduced, but not offset, when BMI-specific survival was taken into consideration. Our findings underpin previous research and suggest that interventions to offset the increasing prevalence of overweight, and especially obesity, are warranted.

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