Metabolic Syndrome and Colorectal Cancer: A Cross-Sectional Survey

3518 Background: Clinical guidelines indicate that oncologists should discuss potential treatment-induced infertility with patients with reproductive potential. Due to tumor location and use of multimodal therapies, young adults with colorectal cancer (CRC) are at heightened risk for treatment-related infertility. Methods: An online, cross-sectional survey was administered in collaboration with a national patient advocacy organization for young adult CRC survivors (currently under age 50). Survivors were asked to indicate if a doctor had ever talked to them about potential problems with their ability to have children after treatment and if they banked eggs/embryos (females) or sperm (males) prior to their cancer therapy. Those who reported that they did not preserve fertility were asked to indicate why ( not sure; I chose not to; I did not know this was an option; I wanted to, but could not afford it; and I wanted to, but my treatment would not allow it). Results: A total of 234 colon (N=86) or rectal (N=148) cancer survivors were included in the study (male [61.9%] and White [77.9%; table]). Most respondents were diagnosed with stage 2 cancer (55.8% colon, 61.6% rectal). Over half of male and female survivors reported that their doctor did not talk to them about problems with their ability to have children after treatment, and 75% did not bank eggs/embryos or sperm prior to their cancer therapy. Of those, over 20% endorsed ‘I wanted to, but could not afford it’ and over 20% endorsed ‘I did not know this was an option’. Conclusions: Most CRC survivors in this study reported never having a fertility discussion with their provider, suggesting that survivors are not receiving, or cannot recall, comprehensive and guideline-concordant cancer care. In addition, one-fifth were not aware of preservation options, suggesting potential healthcare and/or provider-level barriers to appropriate fertility counseling. Fertility preservation cost is another barrier to the appropriate delivery of care. Providers must ensure that patients receive timely fertility discussions covering options to preserve fertility to mitigate this late effect of cancer treatment to ensure optimal quality of life for CRC patients with reproductive potential.[Table: see text]

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Prevalence of and lifestyle factors associated with metabolic syndrome determined using multi-level models in Chinese adults from a cross-sectional survey

Medicine ◽

10.1097/md.0000000000022883 ◽

2020 ◽

Vol 99 (44) ◽

pp. e22883

Author(s):

Tao Xu ◽

Guangjin Zhu ◽

Shaomei Han

Keyword(s):

Metabolic Syndrome ◽

Lifestyle Factors ◽

Chinese Adults ◽

Cross Sectional Survey ◽

Cross Sectional ◽

Factors Associated ◽

Multi Level

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Identification of Metabolic Syndrome Based on Anthropometric, Blood and Spirometric Risk Factors Using Machine Learning

Applied Sciences ◽

10.3390/app10217741 ◽

2020 ◽

Vol 10 (21) ◽

pp. 7741

Author(s):

Sang Yeob Kim ◽

Gyeong Hee Nam ◽

Byeong Mun Heo

Keyword(s):

Machine Learning ◽

Metabolic Syndrome ◽

Logistic Regression ◽

Prediction Model ◽

Prediction Models ◽

Strong Association ◽

Forced Expiratory Volume ◽

Binary Logistic Regression Analysis ◽

Cross Sectional Survey ◽

Cross Sectional

Metabolic syndrome (MS) is an aggregation of coexisting conditions that can indicate an individual’s high risk of major diseases, including cardiovascular disease, stroke, cancer, and type 2 diabetes. We conducted a cross-sectional survey to evaluate potential risk factor indicators by identifying relationships between MS and anthropometric and spirometric factors along with blood parameters among Korean adults. A total of 13,978 subjects were enrolled from the Korea National Health and Nutrition Examination Survey. Statistical analysis was performed using a complex sampling design to represent the entire Korean population. We conducted binary logistic regression analysis to evaluate and compare potential associations of all included factors. We constructed prediction models based on Naïve Bayes and logistic regression algorithms. The performance evaluation of the prediction model improved the accuracy with area under the curve (AUC) and calibration curve. Among all factors, triglyceride exhibited a strong association with MS in both men (odds ratio (OR) = 2.711, 95% confidence interval (CI) [2.328–3.158]) and women (OR = 3.515 [3.042–4.062]). Regarding anthropometric factors, the waist-to-height ratio demonstrated a strong association in men (OR = 1.511 [1.311–1.742]), whereas waist circumference was the strongest indicator in women (OR = 2.847 [2.447–3.313]). Forced expiratory volume in 6s and forced expiratory flow 25–75% strongly associated with MS in both men (OR = 0.822 [0.749–0.903]) and women (OR = 1.150 [1.060–1.246]). Wrapper-based logistic regression prediction model showed the highest predictive power in both men and women (AUC = 0.868 and 0.932, respectively). Our findings revealed that several factors were associated with MS and suggested the potential of employing machine learning models to support the diagnosis of MS.

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Expenditure and financial burden for the diagnosis and treatment of colorectal cancer in China: a hospital-based, multicenter, cross-sectional survey

Chinese Journal of Cancer ◽

10.1186/s40880-017-0209-4 ◽

2017 ◽

Vol 36 (1) ◽

Cited By ~ 15

Author(s):

Hui-Yao Huang ◽

Ju-Fang Shi ◽

Lan-Wei Guo ◽

Ya-Na Bai ◽

Xian-Zhen Liao ◽

...

Keyword(s):

Colorectal Cancer ◽

Financial Burden ◽

Diagnosis And Treatment ◽

Cross Sectional Survey ◽

Cross Sectional

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The Association of Hypovitaminosis D with the Metabolic Syndrome Is Independent of the Degree of Obesity

ISRN Endocrinology ◽

10.5402/2012/691803 ◽

2012 ◽

Vol 2012 ◽

pp. 1-5 ◽

Cited By ~ 18

Author(s):

Inka Miñambres ◽

Joan Sánchez-Hernández ◽

Jose Luis Sánchez-Quesada ◽

Jose Rodríguez ◽

Alberto de Leiva ◽

...

Keyword(s):

Metabolic Syndrome ◽

Vitamin D ◽

Hypovitaminosis D ◽

Cross Sectional Survey ◽

Chi Square ◽

Cross Sectional ◽

Hydroxyvitamin D ◽

The Metabolic Syndrome ◽

Chi Square Test ◽

The Mean

Background. It remains uncertain whether the metabolic syndrome (MS) or insulin resistance contribute to the association between vitamin D deficiency and obesity. Methods. We conducted a cross-sectional survey of 343 subjects who were overweight or obese. We analyzed anthropometric data and the presence or absence of MS. Additionally, we determined 25-hydroxyvitamin D (25OHD) and insulin concentrations, and the HOMA index was calculated. Chi-square test,Mann-Whitney U test, Student's t-tests,and logistic regression analysis were used. Results. The mean age of the patients was 42±11 years, and 65.9% were women. The mean BMI was 34.7±8.3 kg/m2 and 25(OH)D levels were 53.7±29.8 nmol/L. Forty-six patients (13.4%) had MS. Vitamin D status was associated with the degree of obesity, especially with a BMI > 40 kg/m2. Patients with MS had lower levels of 25(OH)D than patients without (43.3±29.0 versus 55.3±29.6 mmol/L, resp.), and the odds ratio for hypovitaminosis D was 2.7 (confidence interval (CI), 1.14–6.4) (P=.023) for patients with MS versus patients without MS, irrespective of the degree of obesity. Conclusions. Our data confirm the association between vitamin D and MS and suggest that this association is independent of the degree of obesity.

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