BACKGROUND/IMPORTANCE OF THE STUDY

At present, there is not much data on the prevalence of cancer in the young adult population in the local setting, in addition to prevalence and determinants of distress in this population. The findings of this study may help to understand the current situation of this young population, and it may also provide a reference for further improving outcomes among these patients who have a distinct set of needs compared to the older counterparts, in addition to a long life expectancy ahead of them.

This study employed an observational cross-sectional design that included young adult cancer patients, aged 19 to 39 years old, seen at the hospital outpatient clinics and Cancer Center from October 2023 to December 2023. Demographic and clinical data were collected. The participants were also asked to fill out the National Comprehensive Cancer Network (NCCN) Distress Thermometer (DT) Screening Tool and Problem List after signing the written informed consent. Data were collated and analyzed per clinical variable.

The mean age of the participants was 34.55 years (SD=3.97), with most of them being 36 to 39 years old (51.67%). Comparative analyses of different demographic and clinical characteristics indicated that none of the characteristics were significantly different between those without and with significant distress levels (p >0.05). The mean distress score was 4.11 (SD=2.60) and categorizing these scores using the established cut-off score showed that 58.33% (95% CI = 44.88% to 70.93%) had distress. Time from cancer diagnosis significantly predicted distress development, specifically between 6 and 12 months from cancer diagnosis (aOR = 0.03, p = 0.042). Factors significantly contributing to distress are concerns on changes in eating, loss or change of physical abilities, worry or anxiety, sadness or depression, loss of interest or enjoyment, loneliness, changes in appearance, feelings of worthlessness or being a burden, relationship with friends, ability to have children, taking care of oneself, finances, access to medicine, issues on sense of meaning or purpose, and on death, dying and afterlife (pCONCLUSION

Significant distress is present in more than 50% of young adult cancer patients seen in a private tertiary institution in the Philippines. The time from cancer diagnosis significantly predicted distress development. Emotional and practical concerns significantly contributed to distress in this population.

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: The direction and intensity of population aging on the burden of non-communicable diseases (NCDs) in China from 1990 to 2019 were analyzed, and the burden of NCDs in 2050 was predicted. Methods: The disease-specific disability-adjusted life years (DALYs), years of life lost (YLLs), and years lived with disability (YLDs) in the Chinese population from 1990 to 2019 were obtained from the Global Burden of Disease Study.The differences in indicators from 1990 to 2019 were attributed to the contribution of age structure, population size, and all other causes. The Bayesian age-time-cohort models were used to predict DALYs from NCDs to 2050. Results: The absolute level of DALYs caused by NCDs increased by 7.460 million from 1990 to 2019, and the age structure contributed 186.0% (95% Uncertainty Intervals (UIs): 178.4%-193.6%), population size contributed 77.0% (95% UIs: 69.5%-80.8%), all other causes contributed -163.0% (95% UIs:-163.1%- -159.3%). DALYs caused by NCDs consist of 2.527 million YLLs and 4.934 million YLDs, in which the contribution of age structure to YLLs and YLDs was 414.6% (95% UIs: 396.2%-432.5%) and 69.1% (95% UIs: 66.7%-71.4%), respectively. From 2019 to 2050, the diseases with increased DALYs due to changes in age structure are cardiovascular diseases, neoplasms, chronic respiratory diseases, neurological disorders, sense organ diseases, diabetes and kidney diseases, musculoskeletal disorders, digestive diseases, mental disorders, and skin and subcutaneous diseases in descending order. Conclusions: From 1990 to 2019, except for skin and subcutaneous diseases, the burden of other NCDs attributable to population aging increased, mainly due to disability. By 2050, the burden of NCDsattributable to population aging will continue to rise.
Humans ; Life Expectancy ; Quality-Adjusted Life Years ; Noncommunicable Diseases/epidemiology* ; Bayes Theorem ; Global Health ; China/epidemiology* ; Aging ; Global Burden of Disease

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*

Mendelian Randomization Analysis ; Bone Density ; Genome-Wide Association Study ; Minerals ; Life Expectancy ; Polymorphism, Single Nucleotide

BACKGROUND: Measuring the health of the population is of great significance to the development of a region. We aimed to estimate the population, probability of death, and quality of life in western China. METHODS: We calculated the age-specific mortality rate and prevalence rate of diseases and injuries using the Full Population Database and the Home Page of Inpatient Medical Record. We used multiple interpolation methods to insert missing information from the death data and the model of Kannisto to adjust the mortality rate for elderly individuals. The age-specific prevalence rate of diseases and injuries was adjusted according to the standard ratio of age and methods of equal proportional allocation. Life expectancy was calculated by a life table, and the quality of life was estimated using the Sullivan method. RESULTS: The total population continued to increase in 2015 to 2019 in the Shaanxi Province, China. The mortality rate of children under five has improved, and the mortality rate of people over 65 is decreasing year by year. Life expectancy increased from 74.66 years in 2015 to 77.19 years in 2019. Even with the total risk of disease and injury, the health-adjusted life expectancy increased by 1.90 years within 5 years, and the number of unhealthy years significantly improved. Health-adjusted life expectancy increased by 1.75 years when only considered the ten major disease systems (tumors; endocrinology, nutrition and metabolism; mental and behavioral disorders; nervous system; sensory diseases; circulatory system; respiratory system; digestive system; genitourinary system; musculoskeletal system and connective tissue), and the number of unhealthy years increased slightly. CONCLUSIONS In the past five years, Shaanxi Province has made progress in improving life expectancy and controlling the development of chronic diseases. It is necessary to take specific preventive measures and improve the quality of basic public health services.
Child ; Humans ; Aged ; Cross-Sectional Studies ; Quality of Life ; Life Expectancy ; China/epidemiology* ; Prevalence

Being the leading cause of death among both urban and rural residents in Hunan Province, China, cardiovascular and cerebrovascular diseases hold a significant position in the region's public health landscape. Their prevalence and impact not only underscore the urgency of effective disease prevention and control but also provide crucial guidance for future initiatives. Consequently, the Hunan Province Cardiovascular and Cerebrovascular Health and Disease Report Summary (2020) hereinafter referred to as the "Annual Report", serves as an extensive and informative document. It meticulously examines the current status of these diseases, highlighting both the existing challenges and opportunities for prevention and control efforts in Hunan Province. The primary objective of this report is to furnish valuable insights and evidence that will empower and enrich future endeavors aimed at combatting cardiovascular and cerebrovascular diseases within the region. In 2017, the year of life expectancy lost due to cardiovascular and cerebrovascular diseases in Hunan Province remained higher than the national average. Additionally, the per capita life expectancy in 2019 (77.1 years) was slightly lower by 0.2 years compared with the national average (77.3 years). Alarmingly, the mortality rates associated with cardiovascular and cerebrovascular diseases were consistently ranking highest, indicating an upward trajectory. Moreover, the prevalence and mortality rates of conditions such as hypertension, coronary heart disease, and stroke, all encompassed within the domain of cardiovascular and cerebrovascular diseases, surpassed the national averages. Consequently, the economic burden attributable to cardiovascular and cerebrovascular diseases is on the rise. And under vertical comparison, in 2019, the life expectancy per capita in Hunan Province increased by 1.26 years compared with 2015. The incidence rate of cardiovascular and cerebrovascular events decreased by 8.34% compared with 2017. A new model of hypertension medical and preventive integration has been established with the efforts of many experts in Hunan Province, and full coverage of standardised outpatient clinics for hypertension at the grassroots level has been realised. The rate of standardised management of patients with hypertension under management in Changsha County, a demonstration area, rose to 65.27%, and the incidence rate of cardiovascular and cerebrovascular events, the incidence rate of stroke, and the mortality rate due to cardiovascular and cerebrovascular events were reduced by 28.08%, 28.62%, and 25.00%, respectively. Hunan Province has made significant strides in the prevention and control of cardiovascular and cerebrovascular diseases in recent years.
Humans ; Cerebrovascular Disorders/epidemiology* ; Life Expectancy ; Incidence ; Stroke/epidemiology* ; China/epidemiology* ; Hypertension

BACKGROUNDS: Cardiovascular disease (CVD) remains the leading cause of deaths nationwide. However, little is understood about its temporal trend and corresponding influence on longevity improvements. We aimed to describe the updated tendency in CVD mortality and to quantify its impact on life expectancy (LE) increase in China. METHODS: All-cause mortality rates were calculated with population sizes from the National Bureau of Statistics and death counts from the National Health Commission. We estimated CVD mortality rates by allocating age- and sex-based mortality envelopes to each CVD subtype based on its proportion derived from the Disease Surveillance Points system. The probability of CVD premature deaths and LE were calculated with life tables and we adopted Arriaga's method to quantitate age- and cause-specific contributions to LE gains. RESULTS: During 2013 to 2018, the age-standardized mortality rate of CVD decreased from 289.69 (95% confidence interval [CI]: 289.03, 290.35)/100,000 to 272.37 (95%CI: 271.81, 272.94)/100,000, along with a decline in probability of CVD premature deaths from 9.05% (95%CI: 9.02%, 9.09%) to 8.13% (95%CI: 8.10%, 8.16%). The gap in CVD mortality across sexes expanded with more remarkable declines in females, especially for those aged 15 to 64 years. Among major subtypes, the probability of premature deaths from hemorrhage stroke declined fastest, while improvements of ischemic stroke and ischemic heart disease were limited, and there was an increase in stroke sequelae. LE in China reached 77.04 (95%CI: 76.96, 77.12) years in 2018 with an increase of 1.38 years from 2013. Of the total LE gains, 21.15% (0.29 years) were attributed to reductions of CVD mortality in the overall population, mostly driven by those aged >65 years. CONCLUSIONS The general process in reducing CVD mortality has contributed to longevity improvements in China. More attention should be paid to prevention and control of atherosclerotic CVD and stroke sequelae, especially for the elderly. Working-age males also deserve additional attention due to inadequate improvements.
Aged ; Male ; Female ; Humans ; Cardiovascular Diseases ; Life Expectancy ; China/epidemiology* ; Disease Progression ; Stroke ; Cause of Death

OBJECTIVE: Improvement in the quality of life is reflected in the narrowing of the gap between health-adjusted life expectancy (HALE) and life expectancy (LE). The effect of megacity expansion on narrowing the gap is rarely reported. This study aimed to disclose this potential relationship. METHODS: Annual life tables were constructed from identified death records and population counts from multiple administrative sources in Guangzhou, China, from 2010 to 2020. Joinpoint regression was used to evaluate the temporal trend. Generalized principal component analysis and multilevel models were applied to examine the county-level association between the gap and social determinants. RESULTS: Although LE and HALE in megacities are increasing steadily, their gap is widening. Socio-economic and health services are guaranteed to narrow this gap. Increasing personal wealth, a growing number of newborns and healthy immigrants, high urbanization, and healthy aging have helped in narrowing this gap. CONCLUSION In megacities, parallel LE and HALE growth should be highly considered to narrow their gap. Multiple social determinants need to be integrated as a whole to formulate public health plans.
Cities ; Health Status ; Humans ; Infant, Newborn ; Life Expectancy ; Quality of Life ; Social Determinants of Health

Objective: To analyze the spatiotemporal distribution of life expectancy (LE) and health-adjusted life expectancy (HALE) in Guangzhou from 2010 to 2019, and quantize the comprehensive impact of different causes and sequelae on health. Methods: The LE, HALE, and cause-excluded health adjusted life expectancy (CEHALE) were estimated using cause-of-death surveillance datasets from Guangzhou Municipal Center for Disease Control and Prevention from 2010 to 2019 and open data from the Global Burden of Disease Study. Joinpoint log-linear regression model was used to analyze the temporal trend and described spatial distribution. Results: In 2019, the LE in residents in Guangzhou was 82.9 years (80.1 years in men and 85.9 years in women), and the HALE was 75.6 years (74.0 years in men and 77.3 years in women). Compared with the urban fringe, the central urban area had higher LE and HALE, and the differences between LE and HALE were small. The LE and HALE in Guangzhou showed an increasing trend from 2010 to 2019. The LE increased by 2.8 years (AAPC=0.4, 95%CI: 0.3-0.4), with the increase of 2.8 years in men and 2.9 years in women. The HALE increased by 2.4 years (AAPC=0.3, 95%CI: 0.3-0.4), with the increase of 2.5 years in men and 2.2 years in women. The median healthy life lost due to communicable, maternal, neonatal, and nutritional diseases was 6.2 years (AAPC=-4.2, 95%CI: -5.3--3.1), while the median healthy life lost due to non-communicable diseases was 14.7 years (AAPC=1.6, 95%CI: 0.9-2.3), the median healthy life expectancy reduced by injury was 6.3 years (AAPC=-3.5, 95%CI: -4.5--2.6). Musculoskeletal disorders, skin and subcutaneous diseases, cardiovascular diseases, nutritional deficiencies, diabetes and kidney diseases were the top five diseases causing healthy life expectancy loss. Conclusion: The LE and HALE in residents in Guangzhou increased steadily from 2010 to 2019, but the quality of life in the urban fringe was lower than that of the central urban area. Non-communicable diseases were the leading causes of healthy life expectancy loss. Health policies and prevention measures should be developed according to area specific characteristics, and social medical resources should be rationally allocated to key diseases to reduce their disease burden.
Cost of Illness ; Female ; Health Status ; Humans ; Infant, Newborn ; Life Expectancy ; Male ; Noncommunicable Diseases ; Quality of Life