ObjectiveTo systematiclly review the correlation between physical activity and the risk of ovarian cancer. MethodsSuch databases as CBM, CNKI, WanFang Data, VIP, The Cochrane Library (Issue 10, 2013), PubMed, EMbase were searched from database establishment to October 2013 to collect prospective cohort studies about physical activities and the risk of ovarian cancer. Relevant magazines and references of included studies were also retrieved. Two reviewers independently screened literature according to the inclusion and exclusion criteria, extracted data, and assessed methodological quality of included studies. Then meta-analysis was performed using RevMan 5.2 software. ResultsA total of 8 cohort studies involving 580 581 subjects, of which there were 2 444 cases of patients with ovarian cancer. The results of meta-analysis showed that, women who participated in moderate level physical activities tended to have a lower incidence of ovarian cancer, compared with those who participated in low level physical activities (age-adjusted:RR=0.87, 95%CI 0.75 to 1.01, P=0.06; multivariate-adjusted:RR=0.97, 95%CI 0.83 to 1.14, P=0.71) but with no significant difference; while women who participated in high level physical activities tended to have a higher incidence of ovarian cancer with a significant difference found in the multivariate-adjusted results (age-adjusted:RR=1.19, 95%CI 0.91 to 1.56, P=0.21; multivariate-adjusted:RR=1.35, 95%CI 1.08 to 1.67, P=0.008). Along with the increase of sedentariness, the incidence of ovarian cancer rose, but with no significant difference. ConclusionCurrent evidence shows that, compared with low level physical activities, high level ones increase the risk of ovarian caner; while the effects of moderate level ones and sedentariness on the risk of ovarian caner still remain uncertain. However, more high-quality studies are required to verify the conclusion of this study because of the limited quantity of the included studies as well as many confounding factors.
Elderly patients with chronic kidney disease not only suffer from senescence-related muscle strength decline, but also exist muscle attenuation caused by chronic kidney disease. Sarcopenia of this group are more obvious, and falls, incapacity, weakness and death caused by sarcopenia are more prominent. At present, clinicians’ understanding of sarcopenia is still in the aspects of concept popularization and basic research, and there is a lack of practical diagnosis and treatment process and clinical prevention and treatment practice. Starting from the evolution of the definition of sarcopenia, this paper elaborates on the characteristics of sarcopenia in elderly patients with chronic kidney disease, as well as the exercise rehabilitation of sarcopenia in elderly patients with chronic kidney disease, in order to improve the attention and understanding of renal colleagues on sarcopenia in elderly people with chronic kidney disease.
Cardiovascular disease is the number one cause of death worldwide. A large body of epidemiologic evidence suggests that regular physical activity (PA) and high levels of cardiorespiratory fitness can prevent the progression of atherosclerotic cardiovascular disease and reduce the incidence of cardiovascular events. "Physical activity, cardiorespiratory fitness, and cardiovascular health: a clinical practice statement of the ASPC" released in December, 2022 by the American Society for Preventive Cardiology (ASPC) and provided the most up-to-date guidance on the associations and mechanisms between PA and cardiorespiratory fitness, the development of exercise prescriptions, and exercise-associated cardiovascular risk. In this article, the main content of this guideline was interpreted, aiming to develop a more scientific exercise prescription for patients with cardiovascular disease.
Objective To explore the correlation between physical activity, sleep and aging using a two-sample Mendelian randomization (MR) method. Methods The data through genome-wide association studies was summarized. The single nucleotide polymorphisms (SNPs) related to physical activity and sleep as instrumental variables was selected. The inverse variance weighting method was used for the main analyses, complemented by the weighted median method and MR Egger regression, and then sensitivity analyses were carried out in terms of multiplicity, heterogeneity and leave-one-out method. Finally, multivariate Mendelian methods were applied to eliminate confounders and find mediators. Results A total of two types of physical activity (strong physical activity, physical inactivity) and three sleep conditions (daytime naps, short sleep duration, adequate sleep duration) were found to have a causal relationship with frailty index (P<0.05), while physical inactivity was found to have a causal relationship with telomere length (P<0.05). A total of 167 SNPs were included in the analysis. Strong physical activity [correlation coefficient (β)=−1.26, 95% confidence interval (CI) (−1.60, −0.96), P<0.0001], adequate sleep duration [β=−0.17, 95%CI (−0.26, −0.09), P<0.001] were negatively correlated with the frailty index. Physical inactivity [β=1.47, 95%CI (0.85, 2.08), P<0.001], daytime naps [β=0.25, 95%CI (0.12, 0.39), P=0.0002], and short sleep duration [β=0.20, 95%CI (0.13, 0.27), P<0.0001] were positively associated with frailty index. Physical inactivity [β=−0.38, 95%CI (−0.69, −0.07), P=0.02] was negatively correlated with telomere length. Percentage body fat, body fat mass, waist circumference, body weight and body mass index partially mediated 25.52%, 23.52%, 10.08%, 17.6% and 10.08% of the effect between daytime naps and frailty index, respectively. Conclusion There is a causal relationship between physical activity, sleep, and aging.