Search

Adiposity is associated with an increased risk of primary liver cancer (PLC). As the most commonly used indicator of adiposity, the body mass index (BMI) has been questioned for its limitations in reflecting visceral fat. This study aimed to investigate the role of different anthropometric indicators in identifying the risk of PLC by accounting for potential non-linear associations. Systematic searches were conducted in the PubMed, Embase, Cochrane Library, Sinomed, Web of Science, and CNKI databases. Hazard ratios (HRs) and the corresponding 95% confidence intervals (CIs) were used to assess the pooled risk. The dose-response relationship was assessed using a restricted cubic spline model. Sixty-nine studies involving more than 30 million participants were included in the final analysis. Regardless of the indicator used, adiposity was strongly associated with an increased risk of PLC. When comparing the HRs per 1-standard deviation increment across indicators of adiposity, the association was strongest for waist-to-height ratio (WHtR) (HR = 1.39), followed by waist-to-hip ratio (WHR) (HR = 1.22), BMI (HR = 1.13), waist circumference (WC) (HR = 1.12), and hip circumference (HC) (HR = 1.12). A strong non-linear association was observed between each anthropometric parameter and the risk of PLC, regardless of whether the original or decentralised value was used. The positive association between WC and PLC risk remained substantial after adjusting for BMI. The incidence of PLC was higher with central adiposity (52.89 per 100,000 person-years, 95% CI = 50.33–55.44) than general adiposity (39.01 per 100,000 person-years, 95% CI = 37.26–40.75). Central adiposity seems to contribute more to the development of PLC than general adiposity. A larger WC, independent of BMI, was strongly associated with the risk of PLC and might be a more promising predictive indicator than BMI. [Display omitted] • BMI, WC, WHR, WHtR, and HC were, respectively, positively associated with the risk of PLC. • Elevated WC, independent of BMI, was associated with an increased risk of PLC. • The incidence of PLC was higher in central adiposity than that in general adiposity. • WC might be a more promising predictive indicator for PLC beyond BMI. [ABSTRACT FROM AUTHOR]

Background: Glycemic index (GI), glycemic load (GL) and daily carbohydrates intake have been associated with a variety of cancers, but their implications in hepatocellular carcinoma (HCC) remain controversial. The purpose of our study is to investigate the association of GI, GL and daily carbohydrates intake with the risk of HCC. Methods: Systematic searches were conducted in PubMed, Embase and Web of Science until November 2020. According to the degree of heterogeneity, random effect model or fixed effect model was chosen to obtain the pooled relative risks (RRs) and corresponding 95% confidence intervals (CIs). Results: Four cohort studies and three case-control studies were eventually included. The pooled results showed no significant association of GI (RR = 1.11, 95% CI = 0.80-1.53), GL (RR = 1.09, 95% CI = 0.76-1.55), and daily carbohydrates intake (RR = 1.09, 95% CI = 0.84-1.32) with the risk of HCC in the general population. Subgroup analysis revealed that in hepatitis B virus (HBV) or/and hepatitis C virus (HCV)-positive group, GI was irrelevant to the risk of HCC (RR = 0.65, 95% CI = 0.32-1.32), while a high GL diet was associated with a higher risk of HCC (RR = 1.52, 95% CI = 1.04-2.23). In contrast, in HBV and HCV-negative group, both GI (RR = 1.23, 95% CI = 0.88-1.70) and GL (RR = 1.17, 95% CI = 0.83-1.64) were not associated with the risk of HCC. Conclusion: A high GL diet increases the risk of HCC in those with viral hepatitis. A low GL diet is recommended for them to reduce the risk of HCC. [ABSTRACT FROM AUTHOR]

Depression and cancer are both prevalent diseases worldwide. Numerous cancer patients experience psychological illnesses, especially depression, following a malignancy's dismal prognosis. Although some research has suggested that caffeine may be protective against depressive symptoms, it is still unclear how caffeine and cancer patients are related. Thus, we hypothesized that moderate daily caffeine intake may reduce the risk of depression in both the cancer and noncancer populations. Data were extracted and combined from the National Health and Nutrition Examination Survey from 2007 to 2016. After controlling for potential confounding factors, interaction effects analysis was used to clarify the interaction between caffeine and cancer on depressive symptoms. Linear regression analysis and restricted cubic splines were used to further analyze the relationship between caffeine and depression in cancer and noncancer populations. A total of 24,145 participants were included in the analysis. In the noncancer population, the quartile 3 group of caffeine intake showed a negative association between caffeine intake and Patient Health Questionnaire-9 (PHQ-9) scores (β = –0.23, 95% confidence interval, –0.45 to –0.01; P =.041). No association between caffeine intake and PHQ-9 scores was observed in the cancer population. In both cancer and noncancer populations, restricted cubic splines indicated a nonlinear trend between caffeine and PHQ-9 scores, with the lowest PHQ-9 scores when caffeine intake was 119.52 mg. In the noncancer population, moderate daily caffeine intake (quartile 3 group; range, 119.5-236.5 mg) was associated with reduced depressive symptoms, whereas in the cancer population, no association was found between caffeine intake and depression. Our study included 24,145 participants in NHANES. In the noncancer population, moderate caffeine intake (119.5-236.5 mg) is associated with less severe depressive symptoms. In the cancer population, however, caffeine intake bears no relationship to depression severity. NHANES, National Health and Nutrition Examination Survey. [Display omitted] [ABSTRACT FROM AUTHOR]