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.

BACKGROUND: Lung cancer ranks as the foremost cause of cancer-related deaths in China, significantly undermining population health and longevity. By analyzing the trends of death and years of life lost caused by lung cancer in Handan from 2017 to 2023, data support is provided for the formulation of prevention and treatment strategies. METHODS: Lung cancer death data in Handan during 2017-2023 were collected. Excel 2010, SPSS 26.0 and Joinpoint 4.9.0.0 were used to analyze the mortality rate of lung cancer, average annual percentage change (AAPC), cause eliminated life expectancy (CELE), potential gains in life expectancy (PGLEs), Fulfillment index, potential years of life lost (PYLL), potential years of life lost rate (PYLLR), and standardized potential years of life lost rate (SPYLLR). RESULTS: The standardized mortality rate of lung cancer in Handan from 2017 to 2023 showed a decreasing trend (AAPC=-7.10%, P<0.01). The CELE of lung cancer increased by 2.49 years (AAPC=0.48%, P<0.05). The life loss rate decreased by 21.43% (AAPC=-4.61%, P<0.05). The Fulfillment index by lung cancer increased with the growth of age from 2017 to 2023. The PYLL, PYLLR, standardized potential years of life lost (SPYLL) and SPYLLR of lung cancer during 2017 to 2023 were 134,219.75 person years, 2.03‰, 98,735.63 person years, and 1.49‰, respectively. The annual PYLLR and SPYLLR showed a decreasing trend (AAPC=-6.34%, -9.34%, respectively, P<0.01). CONCLUSIONS The standardized mortality rate of lung cancer in Handan from 2017 to 2023 showed a decreasing trend, and the impact of lung cancer on life expectancy decreased. The mortality rates of lung cancer showed significant differences among different ages and genders. It is necessary to take good measures to prevent and control lung cancer in males and higher age groups.
Lung Neoplasms/mortality* ; Humans ; Male ; Life Expectancy/trends* ; Female ; China/epidemiology* ; Aged ; Middle Aged ; Aged, 80 and over ; Adult ; Young Adult

The recent three leading risk factors for global disease burden in the world are, in descending order, high blood pressure, tobacco smoking including second-hand smoke, and alcohol use. Alcohol use increases the risk for many acute and chronic health consequences including cancer, road injury and suicide as well as alcohol use disorder. It is known that there is a U- or J-shaped relationship between alcohol consumption and all-cause mortality. The descending leg of the curve showing this relationship is best explained by a decrease in the risk of cardiovascular disease, especially ischemic heart disease, among light-to-moderate alcohol drinkers. However, this relationship carries risks of confounding and selection bias, including the so-called healthy drinker bias. Furthermore, biogenic compounds other than ethanol present in wine may be partially responsible for the beneficial effect, although this also includes several confounding factors such as the drinking patterns associated with wine preference. While some studies suggest that light-to-moderate alcohol consumption may offer cardiovascular benefits, these findings are likely influenced by confounding factors and do not negate the substantial public health burden associated with alcohol use. In fact, from a population health perspective, reducing harmful alcohol consumption remains a critical priority. Social policies aimed at lowering alcohol intake and limiting drinking opportunities can contribute to longer life expectancy by preventing alcohol-related diseases. Unhealthy alcohol use is one of the four major behavioral risk factors-along with smoking, physical inactivity, and poor diet-that accounted for approximately 50% of all deaths and about six years of life expectancy lost between 2001 and 2008. Targeted interventions are particularly important for men and individuals with lower educational attainment, as alcohol-related mortality is higher in men and contributes more to socioeconomic disparities in life expectancy among men than among women. Alcohol consumption is influenced by socioeconomic factors such as education, income, and occupation. While higher socioeconomic status is associated with more frequent drinking, lower status is associated with higher consumption volume. Given that alcohol-related deaths and life expectancy trends vary across countries and over time, public health strategies should be tailored to specific social and temporal contexts.
Humans ; Alcohol Drinking/epidemiology* ; Life Expectancy ; Risk Factors

The quest to decipher the determinants of human longevity has intensified with the rise in global life expectancy. Long-lived individuals (LLIs), who exceed the average life expectancy while delaying age-related diseases, serve as a unique model for studying human healthy aging and longevity. Longevity is a complex phenotype influenced by both genetic and non-genetic factors. This review paper delves into the genetic, epigenetic, metabolic, immune, and environmental factors underpinning the phenomenon of human longevity, with a particular focus on LLIs, such as centenarians. By integrating findings from human longevity studies, this review highlights a diverse array of factors influencing longevity, ranging from genetic polymorphisms and epigenetic modifications to the impacts of diet and physical activity. As life expectancy grows, understanding these factors is crucial for developing strategies that promote a healthier and longer life.
Humans ; Healthy Aging/physiology* ; Longevity/physiology* ; Epigenesis, Genetic ; Life Expectancy ; Exercise ; Aging/genetics* ; Diet ; Aged, 80 and over

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

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

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

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