International research on healthy life expectancy (HALE) focuses on inequality of socioeconomic status and individual natural attributes. With the acceleration of population ageing and the increase in average life expectancy, the extension of unhealthy life expectancy and the increase of social and economic burden caused by diseases have gradually attracted the attention of countries around the world. Therefore, the evaluation of disease factors affecting HALE is a meaningful direction in the future. This study introduces the development process and commonly used measurement methods of HALE. According to the definition of health from the Global Burden of Disease Study and World Health Organization, physical and mental diseases such as cardiovascular and cerebrovascular diseases, chronic respiratory diseases, diabetes, malignant tumors and depression were selected to summarize the impact of these diseases and pre-disease states on HALE. It is expected to provide a theoretical basis for the formulation of relevant public health policies and the improvement of quality of life in China.
Humans ; Healthy Life Expectancy ; Quality of Life ; Life Expectancy ; Causality ; Social Class

Objective: To analyze the influencing factors of healthy life expectancy (HLE). Methods: Seven Chinese and English databases were used for the retrieval of related literatures published by May 7, 2022 to identify influencing factors of HLE, including diseases and injuries and their risk factors. Based on the ecological model of health determinants, this study classifies the risk factors of diseases and injuries into five levels: personal characteristics, individual behavior and lifestyle, social network, living and working conditions, and macroscopic socio-economic, cultural and environmental conditions. Contents of research area, HLE indicators, research population, influencing factors, data sources and results were extracted. The frequencies of reported documents of different HLE indicators and influencing factors of different dimensions were visualized by using evidence map, and the empirical studies of four authoritative English medical journals and Chinese core medical journals were further compared and described. Results: A total of 90 studies were selected, in which 26 were conducted in China (28.9%). Fifty-three studies are about diseases and injuries in the first dimension, and all of them have studied non-communicable diseases, accounting for the highest proportion (58.9%). There were 77 studies about the analysis on the determinants of health at five levels by an ecological model, all the studies reported multi-level results. Among them, 53 studies reported personal characteristics (58.9%), 47 studies reported individual behavior and lifestyle (52.2%), 10 studies reported social networks (11.1%), 35 studies reported living and working environment (38.9%), 8 studies reported social economy, culture status and environment condition (8.9%). The literatures about HLE published by 4 authoritative English medical journals and 21 Chinese core medical journals in recent three years were selected. Non-communicable diseases and personal characteristics were the top two most commonly studied factors of HLE, and 11 (52.3%) and 12 (57.1%) studies reported these two kinds of factors respectively. The most important factor contributing to the global disability-adjusted life years of non-communicable diseases was individual behavior and lifestyle, which was the most changeable factor. Conclusions: In recent three years, studies involving influencing factors of HLE were mainly non-communicable diseases and personal characteristics. In the future, individual behavior, lifestyle and working environment should be strengthened.
Humans ; Noncommunicable Diseases ; Healthy Life Expectancy ; Life Style ; Asian People ; Risk Factors

OBJECTIVE: To investigate the inhibitory effect of agkistrodon halys venom antitumor component-I (AHVAC-I) on vasculogenic mimicry (VM) formation in triple-negative breast cancer MDA-MB-231 cells and explore its possible mechanism. METHODS: CCK8 assay was used to determine the optimal concentration of AHVAC-I for cell treatment based on its halfinhibitory concentration (IC₅₀). MDA-MB-231 cells were treated with different concentrations of AHVAC-I or 5-Fu, and the changes in vasomimetic capacity of the cells were examined using Matrigel assay. The expression levels of matrix metalloproteinase-2 (MMP2) and MMP9 in the treated cells were detected using quantitative PCR and Western blotting. RESULTS: Compared with the control treatment with culture medium, treatment with 5, 10 and 20 μg/mL AHVAC-I significantly reduced vasomimetic ability of MDA-MB-231 cells in a dose-dependent manner (P < 0.01). MMP2 supplementation obviously restored the vasomimetic ability of the cells inhibited by AHVAC-I. CONCLUSION AHVAC-I inhibits VM formation in triplenegative breast cancer cells in vitro by down-regulating MMP2 production.
Agkistrodon/metabolism* ; Animals ; Cell Line, Tumor ; Healthy Life Expectancy ; Humans ; Matrix Metalloproteinase 2/metabolism* ; Neovascularization, Pathologic/metabolism* ; Triple Negative Breast Neoplasms/metabolism* ; Venoms

Objective: To calculate and compare the healthy life expectancy (HLE) of the middle-aged and elderly in China, the United States, and developing and developed countries in the European Union(EU) and analyze the impact of socioeconomic factors on HLE in different countries or regions. Methods: Four surveys from 2010 to 2019 were brought into the research. The data were collected from the China Health and Retirement Longitudinal Study, Health and Retirement Study, and the Survey of Health, Ageing and Retirement in Europe. Developed and developing countries in the EU were divided into two groups for calculation. Education level, total family wealth, and work retirement status were selected to measure socioeconomic status, and activities of daily living were used as health status indicators. We used the multi-state life cycle table method to calculate the transition probability between different health states and estimate life expectancy and HLE. Results: A total of 69 544 samples were included in the study. In terms of age, the middle-aged and elderly in the United States and developed countries of the EU have higher HLE in all age groups. In terms of gender, only Chinese women have lower HLE than men. Regarding socioeconomic factors, the middle-aged and elderly with higher education levels and total family wealth level have higher HLE. In China, working seniors have higher HLE, while for USA women and developed countries of the EU, retired or unemployed seniors have higher HLE. Conclusions: Demographic and socioeconomic factors impact HLE in different countries or regions. China should pay more attention to the health of women and the middle-aged and elderly retired with lower education and less total family wealth.
Aged ; Male ; Middle Aged ; United States ; Female ; Humans ; Healthy Life Expectancy ; European Union ; Activities of Daily Living ; Longitudinal Studies ; Socioeconomic Factors ; China/epidemiology*