Association between average daily television viewing time and the incidence of ovarian cancer: findings from the Japan Collaborative Cohort Study

Ukawa, Shigekazu; Tamakoshi, Akiko; Mori, Mitsuru; Ikehara, Satoyo; Shirakawa, Toru; Yatsuya, Hiroshi; Iso, Hiroyasu

doi:10.1007/s10552-018-1001-8

Cited by 10 publications

(18 citation statements)

References 34 publications

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“…Our subjects were recruited from the general population, the sample was large and the response rate to the questionnaire was high [29,36]. In addition, the cancer registry of the study had sufficient quality to reduce the possibility of misclassification of outcomes [37].…”

Section: Resultsmentioning

confidence: 99%

Sleep duration and risk of breast cancer: The JACC Study

Cao

Eshak

Liu

et al. 2018

Breast Cancer Res Treat

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Purpose-The evidence on beneficial or adverse effects of sleep duration on risk of breast cancer remains controversial and limited, especially in Asia. Methods-A prospective study of 34 350 women aged 40-79 years in whom sleep duration, menstrual and reproductive histories were determined by a self-administered questionnaire. The follow-up period was from 1988 to 2009, and hazard ratios (HRs) with 95% confidence intervals (CIs) of breast cancer incidence were calculated for shorter sleep duration in reference to sleep duration of ≥ 8 h/d by Cox proportional hazard models. Results-During 19.2-year median follow-up (236 cases), we found a significant inverse association between sleep duration and risk of breast cancer, especially among postmenopausal women and women with low parity (nulliparous and women with < 3 children); the multivariable HRs (95% CIs) among postmenopausal women who reported 7h/d and ≤ 6h/d of sleep in reference to ≥ 8 h/d were 1.

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Section: Resultsmentioning

confidence: 99%

Sleep duration and risk of breast cancer: The JACC Study

Cao

Eshak

Liu

et al. 2018

Breast Cancer Res Treat

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“…We preferred risk estimates primarily assessing total sitting time [13][14][15] or leisure-time sitting [16,17] as exposure variables. We included two risk estimates of studies assessing solely TV-viewing time [18] or occupational sitting time [19], respectively. For all analyses, we chose the maximally adjusted risk estimate.…”

Section: Methodsmentioning

confidence: 99%

Sedentary behaviour in relation to ovarian cancer risk: a systematic review and meta-analysis

et al. 2021

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Sedentary behaviour is an emerging risk factor for several site-specific cancers. Ovarian cancers are often detected at late disease stages and the role of sedentary behaviour as a modifiable risk factor potentially contributing to ovarian cancer risk has not been extensively examined. We systematically searched relevant databases from inception to February 2020 for eligible publications dealing with sedentary behaviour in relation to ovarian cancer risk. We conducted a systematic review and meta-analysis, calculating summary relative risks (RR) and 95% confidence intervals (CI) using a random-effects model. We calculated the E-Value, a sensitivity analysis for unmeasured confounding. We tested for publication bias and heterogeneity. Seven studies (three prospective cohort studies and four case–control studies) including 2060 ovarian cancer cases were analysed. Comparing highest versus lowest levels of sedentary behaviour, the data indicated a statistically significant increase in the risk of ovarian cancer in relation to prolonged sitting time (RR = 1.29, 95% CI = 1.07–1.57). Sub-analyses of prospective cohort studies (RR = 1.33, 95% CI = 0.92–1.93) and case–control studies (RR = 1.28, 95% CI = 0.98–1.68) showed statistically non-significant results. Sensitivity analysis showed that an unmeasured confounder would need to be related to sedentary behaviour and ovarian cancer with a RR of 1.90 to fully explain away the observed RR of 1.29. Our analyses showed a statistically significant positive association between sedentary behaviour and ovarian cancer risk.

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“…Chemical factors might be in the air, water, food, and/or workplace. The genetic makeup is essential so that these mentioned factors can lead to malignant transformation (American Cancer Society, 2017; Fymat, 2017; Iqbal, 2017; Ellberg et al, 2018; Ukawa et al, 2018). Because of the complicated interplay of many habits and behaviors, it is difficult to predict which combination of these habits and behaviors is accountable for certain cancer.…”

Section: Resultsmentioning

confidence: 99%

Applying Machine Learning of Erythrocytes Dynamic Antigens Store in Medicine

Rafea

Elkafrawy

Nasef

et al. 2019

Front. Mol. Biosci.

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Erythrocytes Dynamic Antigens Store (EDAS) is a new discovery. EDAS consists of self-antigens and foreign (non-self) antigens. In patients with infectious diseases or malignancies, antigens of infection microorganism or malignant tumor exist in EDAS. Storing EDAS of normal individuals and patients in a database has, at least, two benefits. First, EDAS can be mined to determine biomarkers representing diseases which can enable researchers to develop a new line of laboratory diagnostic tests and vaccines. Second, EDAS can be queried, directly, to reach a precise diagnosis without the need to do many laboratory tests. The target is to find the minimum set of proteins that can be used as biomarkers for a particular disease. A hypothetical EDAS is created. Hundred-thousand records are randomly generated. The mathematical model of hypothetical EDAS together with the proposed techniques for biomarker discovery and direct diagnosis are described. The different possibilities that may occur in reality are experimented. Biomarkers' proteins are identified for pathogens and malignancies, which can be used to diagnose conditions that are difficult to diagnose. The presented tool can be used in clinical laboratories to diagnose disease disorders.

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Association between average daily television viewing time and the incidence of ovarian cancer: findings from the Japan Collaborative Cohort Study

Abstract: Our findings suggest that reducing the amount of time spent sedentarily may be beneficial for preventing ovarian cancer.

Cited by 10 publications

References 34 publications

Sleep duration and risk of breast cancer: The JACC Study

Sleep duration and risk of breast cancer: The JACC Study

Sedentary behaviour in relation to ovarian cancer risk: a systematic review and meta-analysis

Applying Machine Learning of Erythrocytes Dynamic Antigens Store in Medicine

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