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Interleukin-6 and body mass index, tobacco use, and sleep in gynecologic cancers.

ABSTRACT: OBJECTIVE:Elevated body mass index (BMI), tobacco use, and sleep disturbance are common health concerns among women with gynecologic cancers. The extent to which these factors are associated with systemic inflammation in gynecologic cancers is unknown. This is a significant literature gap given that (a) chronic, systemic inflammation may mediate relationships between behavioral health factors and cancer outcomes; and (b) elevated BMI, tobacco use, and sleep disturbances can be modified via behavioral interventions. This study examined Interleukin-6 (IL-6) relations with BMI, tobacco use history, and sleep disturbances in patients undergoing surgery for suspected gynecologic cancer. METHOD:Participants were 100 women (M age = 58.42 years, SD = 10.62 years) undergoing surgery for suspected gynecologic cancer. Smoking history was determined by participant self-report. Sleep quality/disturbance was assessed via the Pittsburgh Sleep Quality Index. BMI was abstracted from electronic health records. Presurgical serum IL-6 concentrations were determined using Enzyme-Linked Immunosorbent Assay. RESULTS:Controlling for the cancer type and stage, regression analyses revealed higher BMI, ? = 0.258, p = .007, and former/current smoking status, ? = 0.181, p = .046, were associated with higher IL-6. IL-6 did not differ between former and current smokers, ? = 0.008, p = .927. Global sleep quality, sleep latency, and sleep efficiency were not associated with IL-6. CONCLUSIONS:Higher BMI and any history of tobacco use predicted higher IL-6 among women undergoing surgery for suspected gynecologic cancers. Cognitive-behavioral interventions targeting primary and secondary obesity and tobacco use prevention may reduce systemic inflammation and optimize cancer outcomes in this population. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

SUBMITTER: Kacel EL

PROVIDER: S-EPMC6746588 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature

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Interleukin-6 and body mass index, tobacco use, and sleep in gynecologic cancers.

Kacel Elizabeth L EL Kirsch Janae L JL Sannes Timothy S TS Patidar Seema S Postupack Rachel R Jensen Sally S Wong Shan S Garey Stephanie S Dodd Stacy S Ulfig Chantel M CM McCrae Christina S CS Robinson Michael E ME Castagno Jacqueline J Schultz Gregory S GS Pereira Deidre B DB

Health psychology : official journal of the Division of Health Psychology, American Psychological Association 20190801 10

<h4>Objective</h4>Elevated body mass index (BMI), tobacco use, and sleep disturbance are common health concerns among women with gynecologic cancers. The extent to which these factors are associated with systemic inflammation in gynecologic cancers is unknown. This is a significant literature gap given that (a) chronic, systemic inflammation may mediate relationships between behavioral health factors and cancer outcomes; and (b) elevated BMI, tobacco use, and sleep disturbances can be modified v ...[more]

PMID: 31368718

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Project description:BackgroundAdolescents who receive an adequate amount of sleep benefit from a positive health status. Previous studies have documented several health consequences connected with obesity as well as short sleep duration among adolescents. Poor sleep quality with obesity and uncontrolled diet can lead to chronic diseases in the future. This study aimed to examine the link between eating habits, sleep duration, and body mass index (BMI) among King Saud University (KSU) students.MethodsThe study was cross-sectional and conducted from February to May 2021 on 311 recruited students (male and female) of KSU premises. Pittsburgh Sleep Quality Index questionnaire was used to describe sleep duration linked with a dietary pattern that included fruit and vegetable intake. The questionnaire consists of two sections of 15 and 10 questions each. The questionnaire was created using the Google Forms tool and distributed through social media platforms like Twitter and WhatsApp. The obtained data was transferred into excel to perform the statistical analysis.ResultsThe mean total of students who participated in this study was 21.45 ± 23.11. Female students (72.3%) were actively involved in this study. About 30.2% of students were found to be overweight and obese. Around 67.8% of students had insufficient sleep, 32.2% had adequate sleep, and over 70% of students fell asleep within 30 min of going to bed. A total of 71.7% of students showed good sleep quality, whereas 28.3% reported poor sleep quality. BMI was categorized into four groups: 17.7% of individuals were underweight, 52.1% were of normal weight threshold, 20.6% were overweight, and 9.6% were obese. On a regular basis, 12.5% of students consume vegetables and 6.4% fruits daily. The results of this study show that only 8% of students eat breakfast, whereas 62.1% eat lunch, and 29.9% eat dinner.ConclusionThis study concludes that short sleep duration was associated with obesity among KSU students. This association was also found between sleep duration and dietary factors, specifically in the consumption of fruits and vegetables in terms of eating behaviour.

Project description:ObjectiveOverweight and obese women may avoid contraceptive methods they believe are associated with weight gain. The objective of this study was to examine the role of weight and weight perception on contraceptive use.Study designUsing cross-sectional data from the MyNewOptions study, we analyzed contraceptive use among 987 privately insured, sexually active women aged 18-40 years. Contraception was categorized into three groups: (1) long-acting reversible contraceptives (LARCs), (2) non-LARC prescription methods and (3) nonprescription methods/no method. Multinomial logistic regression was used to model the effect of body mass index category and weight perception on contraceptive use while controlling for pregnancy intentions, sexual behavior and sociodemographic characteristics.ResultsEighty-three (8.4%) women were using LARCs, 490 (49.6%) women were using non-LARC prescription methods and 414 (42.0%) were using nonprescription methods or no method. In the adjusted multinomial model, overweight [adjusted odds ratio (aOR) 3.84, 95% confidence interval (CI) 1.85-7.98) and obese women (aOR 2.82, 95% CI 1.18-6.72) were significantly more likely to use LARCs compared to normal-weight women. There were greater adjusted odds of overweight and obese women using nonprescription methods/no method compared with non-LARC prescription methods, but this finding did not reach statistical significance. Weight perception was not associated with contraceptive use.ConclusionIn this study sample, overweight and obese women were more likely to use LARCs than normal-weight women. It will be important to further understand how weight influences women and providers' views on contraception in order to better assist women with individualized, patient-centered contraceptive decision making.ImplicationsOverweight and obese women may be reluctant to use contraceptive methods they believe are associated with weight gain (i.e., pills, shot), but how that affects contraceptive use is unclear. Compared with normal-weight women, overweight and obese women in this study were more likely to use LARCs than non-LARC prescription methods.

Dataset Information

Interleukin-6 and body mass index, tobacco use, and sleep in gynecologic cancers.

Publications

Interleukin-6 and body mass index, tobacco use, and sleep in gynecologic cancers.

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