Comparing Life Expectancy Determinants Between Indonesia and Oman from 1980 to 2020.

Life expectancy (LE) is a health indicator of a population's health and well-being. Modeling the trajectory of LE aligns with the objectives of Indonesia's Vision 2045 and Oman's Vision 2040. This study examines the influence of health status-resources (HSR), macroeconomic (ME), and sociodemographic (SD) factors on LE in Indonesia and Oman. These two nations navigate the challenges of the middle-income trap in the Organization of Islamic Cooperation. This study adopted a national-scale population-based approach that focuses on retrospective observations. We used partial least square structural equation models with World Bank data from 1980 to 2020 to analyze the relationship between the mentioned factors and the LE of Oman and Indonesia. For Indonesia's model, the results showed that ME has a total effect of ß = 0.737 (p < 0.05) on LE, SD has a total effect of ß = 0.675 (p < 0.05) on LE, and HSR has a total effect of ß = 0.823 (p < 0.05) on LE. In Oman's model, ME has a total effect of ß = 0.848 (p < 0.05) on LE, SD has a total effect of ß = 0.755 (p < 0.05) on LE, and HSR has a total effect of ß = 0.335 (p < 0.05) on LE. The findings underscore the need for policies that meld health and societal perspectives to improve public health in both nations. A shift in public health interventions and perceptions towards socioeconomic well-being and societal issues is pivotal for advancing LE growth, potentially steering these countries from the middle-income trap.

Impact of opioid overdoses on US life expectancy and years of life lost, by demographic group and stimulant co-involvement: a mortality data analysis from 2019 to 2022.

Background: The United States' opioid crisis is worsening, with the number of deaths reaching 81,806 in 2022 after more than tripling over the past decade. This study aimed to comprehensively characterize changes in burden of opioid overdose mortality in terms of life expectancy reduction and years of life lost between 2019 and 2022, including differential burden across demographic groups and the contribution of polysubstance use. Methods: Using life tables and counts for all-cause and opioid overdose deaths from the National Center for Health Statistics, we constructed cause-eliminated life tables to estimate mortality by age in the absence of opioid-related deaths. We calculated the loss in life expectancy at birth (LLE) and total years of life lost (YLL) due to opioid overdose deaths by state of residency, sex, racial/ethnic group, and co-involvement of cocaine and psychostimulants. Findings: Opioid-related deaths in the US led to an estimated 3.1 million years of life lost in 2022 (38 years per death), compared to 2.0 million years lost in 2019. Relative to a scenario with no opioid mortality, we estimate that opioid-related deaths reduced life expectancy nationally by 0.67 years in 2022 vs 0.52 years in 2019. This LLE worsened in all racial/ethnic groups during the study period: 0.76 y-0.96 y for white men, 0.36 y-0.55 y for white women, 0.59 y-1.1 y for Black men, 0.27 y-0.53 y for Black women, 0.31 y-0.82 y for Hispanic men, 0.19 y-0.31 y for Hispanic women, 0.62 y-1.5 y for American Indian/Alaska Native (AI/AN) men, 0.43 y-1 y for AI/AN women, 0.09 y-0.2 y for Asian men, and 0.08 y-0.13 y for Asian women. Nearly all states experienced an increase in years of life lost (YLL) per capita from 2019 to 2022, with YLL more than doubling in 16 states. Cocaine or psychostimulants with abuse potential (incl. methamphetamines) were involved in half of all deaths and years of life lost in 2022, with substantial variation in the predominant drug class by state and racial/ethnic group. Interpretation: The burden of opioid-related mortality increased dramatically in the US between 2019 and 2022, coinciding with the period of the COVID-19 pandemic and the associated disruptions to social, economic, and health systems. Opioid overdose deaths are an important contributor to decreasing US life expectancy, and Black, Hispanic, and Native Americans now experience mortality burdens approaching or exceeding white Americans. Funding: None.

[Adaptations of the work environment facilitating the professional activity of seniors]. / Adaptacje srodowiska pracy ulatwiajace aktywnosc zawodowa seniorów.

BACKGROUND: Analysis of demographic trends indicates that there is an increasing proportion of people who can be described as elderly. In Poland, the population aged >60 years is expected to increase to 10.8 million in 2030 and to 13.7 million in 2050, i.e., around 40% of total population. In line with the general trend, the issue of the aging of the professionally active population is becoming more relevant. MATERIAL AND METHODS: The average age of the world's working population is steadily increasing. In the European Union, workers aged 55-64 years accounted for 50% of the total workforce in 2013, and already 59% in 2018. In Poland, in 2018, people aged 55-64 years accounted for 49% of the employed population. The low percentage of people working at this age is due, among other things, to employers' attitudes towards employing older people, perceiving them as employees who are more difficult to manage and have health problems. Moreover, working conditions of seniors are not adapted to their age capabilities. RESULTS: It is necessary to reduce the burden of physical work, especially in awkward positions, carrying loads, monotonous work and piecework. It is important to create work organization in which it is possible to refer to the experience of older people, who should have freedom of action, without time pressure and the need to perform many tasks at the same time. The ever-increasing social dependence on information technology tools creates new problems for seniors. Taking into account age-related difficulties in acquiring new knowledge, it is important to provide them with simplified tools that are easier to use. CONCLUSIONS: The scope of necessary actions to enable the aging population to work is very wide, ranging from legislative, technological and organizational changes, ending with education addressed both to people responsible for employee safety (including occupational health services) and to current and potential employees. Med Pr Work Health Saf. 2024;75(3).

Excess Mortality and Loss of Life Expectancy After Myocardial Infarction: A Registry-Based Matched Cohort Study.

BACKGROUND: The effect of myocardial infarction (MI) on life expectancy is difficult to study because the prevalence of MI hinders direct comparison with the life expectancy of the general population. We sought to assess this in relation to age, sex, and left ventricular ejection fraction (LVEF) by comparing individuals with MI with matched comparators without previous MI. METHODS: We included patients with a first MI between 1991 and 2022 from the nationwide SWEDEHEART registry (Swedish Web-System for Enhancement and Development of Evidence-Based Care in Heart Disease Evaluated According to Recommended Therapies), each matched with up to 5 comparators on age, sex, and region of residence. Flexible parametric survival models were used to estimate excess mortality risk and mean loss of life expectancy (LOLE) depending on index year, age, sex, and LVEF, and adjusted for differences in characteristics. RESULTS: A total of 335 748 cases were matched to 1 625 396 comparators. A higher LOLE was observed in younger individuals, women, and those with reduced LVEF (<50%). In 2022, the unadjusted and adjusted mean LOLE spanned from 11.1 and 9.5 years in 50-year-old women with reduced LVEF to 5 and 3.7 months in 80-year-old men with preserved LVEF. Between 1992 and 2022, the adjusted mean LOLE decreased by 36% to 55%: from 4.4 to 2.0 years and from 3.3 to 1.9 years in 50-year-old women and men, respectively, and from 1.7 to 1.0 years and from 1.4 to 0.9 years in 80-year-old women and men, respectively. CONCLUSIONS: LOLE is higher in younger individuals, women, and those with reduced LVEF, but is attenuated when adjusting for comorbidities and risk factors. Advances in MI treatment during the past 30 years have almost halved LOLE, with no clear sign of leveling off to a plateau.

Trends in socioeconomic inequalities in life expectancy and lifespan variation in Chile.

Background: Socioeconomic disparities in life expectancy are well-documented in various contexts, including Chile. However, there is a lack of research examining trends in life expectancy inequalities and lifespan variation over time. Addressing these gaps can provide crucial insights into the dynamics of health inequalities. Methods: This study utilizes data from census records, population surveys, and death certificates to compare the life expectancy and the lifespan variation at age 26 of individuals according to their rank in the distribution of years of education within their own birth cohort. The analysis spans three periods (1991, 2002, and 2017) and focuses on two educational groups: individuals in the first (lowest) quintile and tenth (highest) decile of educational attainment. Changes in life expectancy are disaggregated by major causes of death to elucidate their contributions to overall trends. Results: Consistent with existing literature, our findings confirm that individuals with lower education levels experience lower life expectancy and higher lifespan variation compared to their more educated counterparts. Notably, by 2017, life expectancy for individuals in the lowest quintile of education has caught up with that of the top decile in 1991, albeit with contrasting trends between genders. Among women, the gap has reduced, while it has increased for males. Moreover, lifespan variation decreased (increased) over time for individuals in the tenth decile (first quintile). The leading causes of death that explain the increase in life expectancy in women and men in the tenth decile as well as women in the first quintile are cardiovascular, cancer, respiratory and digestive diseases. In the case of males in the first quintile, few gains have been made in life expectancy resulting from cancer and a negative contribution is associated with digestive conditions. Conclusions: This study underscores persistent socioeconomic disparities in life expectancy in Chile, emphasizing the importance of ongoing monitoring of health inequalities across different demographic segments. The gender-specific and educational gradient trends highlight areas for targeted interventions aimed at reducing health disparities and improving overall population health outcomes. Further research is warranted to delve into specific causes of death driving life expectancy differentials and to inform evidence-based policy interventions.

Essential components of an effective transition from paediatric to adult neurologist care for adolescents with Duchenne muscular dystrophy; a consensus derived using the Delphi methodology in Eastern Europe, Greece and Israel.

PURPOSE: An increasing number of patients with Duchenne muscular dystrophy (DMD) now have access to improved standard of care and disease modifying treatments, which improve the clinical course of DMD and extend life expectancy beyond 30 years of age. A key issue for adolescent DMD patients is the transition from paediatric- to adult-oriented healthcare. Adolescents and adults with DMD have unique but highly complex healthcare needs associated with long-term steroid use, orthopaedic, respiratory, cardiac, psychological, and gastrointestinal problems meaning that a comprehensive transition process is required. A sub-optimal transition into adult care can have disruptive and deleterious consequences for a patient's long-term care. This paper details the results of a consensus amongst clinicians on transitioning adolescent DMD patients from paediatric to adult neurologists that can act as a guide to best practice to ensure patients have continuous comprehensive care at every stage of their journey. METHODS: The consensus was derived using the Delphi methodology. Fifty-three statements were developed by a Steering Group (the authors of this paper) covering seven topics: Define the goals of transition, Preparing the patient, carers/parents and the adult centre, The transition process at the paediatric centre, The multidisciplinary transition summary - Principles, The multidisciplinary transition summary - Content, First visit in the adult centre, Evaluation of transition. The statements were shared with paediatric and adult neurologists across Central Eastern Europe (CEE) as a survey requesting their level of agreement with each statement. RESULTS: Data from 60 responders (54 full responses and six partial responses) were included in the data set analysis. A consensus was agreed across 100% of the statements. CONCLUSIONS: It is hoped that the findings of this survey which sets out agreed best practice statements, and the transfer template documents developed, will be widely used and so facilitate an effective transition from paediatric to adult care for adolescents with DMD.

Decomposing the gaps in healthy and unhealthy life expectancies between Indigenous and non-Indigenous Australians: a burden of disease and injury study.

BACKGROUND: The gaps in healthy life expectancy (HLE) between Indigenous and non-Indigenous Australians are significant. Detailed and accurate information is required to develop strategies that will close these health disparities. This paper aims to quantify and compare the causes and their relative contributions to the life expectancy (LE) gaps between the Indigenous and non-Indigenous population in the Northern Territory (NT), Australia. METHODS: The age-cause decomposition was used to analyse the differences in HLE and unhealthy life expectancy (ULE), where LE = HLE + ULE. The data was sourced from the burden of disease and injury study in the NT between 2014 and 2018. RESULTS: In 2014-2018, the HLE at birth in the NT Indigenous population was estimated at 43.3 years in males and 41.4 years in females, 26.5 and 33.5 years shorter than the non-Indigenous population. This gap approximately doubled the LE gap (14.0 years in males, 16.6 years in females) at birth. In contrast to LE and HLE, ULE at birth was longer in the Indigenous than non-Indigenous population. The leading causes of the ULE gap at birth were endocrine conditions (explaining 2.9-4.4 years, 23-26%), followed by mental conditions in males and musculoskeletal conditions in females (1.92 and 1.94 years, 15% and 12% respectively), markedly different from the causes of the LE gap (cardiovascular disease, cancers and unintentional injury). CONCLUSIONS: The ULE estimates offer valuable insights into the patterns of morbidity particularly useful in terms of primary and secondary prevention.

Rural-urban residence and life expectancies with and without pain.

This paper analyzes rural-urban disparities in life expectancy with and without pain among upper-middle age and older adults. Data are from the nationally representative Health and Retirement Study, 2000-2018, N = 18,160, age 53+. Interpolated Markov Chain software, based on the multistate life tables, is used to calculate absolute and relative pain expectancies by age, sex, rural-suburban-urban residence and U.S. regions. Results show significant rural disadvantages versus those in urban and often suburban areas. Example: males at 55 in rural areas can expect to live 15.1 years, or 65.2 percent pain-free life, while those in suburban areas expect to live 1.7 more years, or 2.6 percentage points more, pain-free life and urban residents expect to live 2.4 more year, or 4.7 percentage points more. The rural disadvantage persists for females, with differences being a little less prominent. At very old age (85+), rural-urban differences diminish or reverse. Rural-urban pain disparities are most pronounced in the Northeast and South regions, and least in the Midwest and West. The findings highlight that rural-urban is an important dimension shaping the geography of pain. More research is needed to disentangle the mechanisms through which residential environments impact people's pain experiences.

Survival of stage III non-seminoma testis cancer patients versus simulated controls, according to race/ethnicity.

BACKGROUND: It is unknown whether 5-year overall survival (OS) differs and to what extent between the American Joint Committee on Cancer stage III non-seminoma testicular germ cell tumor (NS-TGCT) patients and simulated age-matched male population-based controls, according to race/ethnicity groups. METHODS: We identified newly diagnosed (2004-2014) stage III NS-TGCT patients within the Surveillance Epidemiology and End Results database 2004-2019. For each case, we simulated an age-matched male control (Monte Carlo simulation), relying on Social Security Administration (SSA) Life Tables with 5 years of follow-up. We compared OS rates between stage III NS-TGCT patients and simulated age-matched male population-based controls, according to race/ethnicity groups (Caucasian, Hispanic, Asian/Pacific Islander and African American). Both, cancer-specific mortality (CSM) and other-cause mortality (OCM) were computed. RESULTS: Of 2054 stage III NS-TGCT patients, 60% were Caucasians versus 33% Hispanics versus 4% Asians/Pacific Islanders versus 3% African Americans. The 5-year OS difference between stage III NS-TGCT patients versus simulated age-matched male population-based controls was highest in Asians/Pacific Islanders (64 vs. 99%, Δ = 35%), followed by African Americans (66 vs. 97%, Δ = 31%), Hispanics (72 vs. 99%, Δ = 27%), and Caucasians (76 vs. 98%, Δ = 22%). The 5-year CSM rate was highest in Asians/Pacific Islanders (32%), followed by African Americans (26%), Hispanics (25%), and Caucasians (20%). The 5-year OCM rate was highest in African Americans (8%), followed by Caucasians (4%), Asians/Pacific Islanders (4%), and Hispanics (2%). CONCLUSION: Relative to SSA Life Tables, the highest 5-year OS disadvantage applied to stage III NS-TGCT Asian/Pacific Islander race/ethnicity group, followed by African American, Hispanic and Caucasian, in that order.

Looks and longevity: Do prettier people live longer?

Social scientists have given relatively scant attention to the association between attractiveness and longevity. But attractiveness may convey underlying health, and it systematically structures critical social stratification processes. We evaluated these issues using the Wisconsin Longitudinal Study (WLS, N = 8386), a survey of Wisconsin high school graduates from 1957 which provided large samples of women and men observed until their death (or through their early 80s). In doing so, we utilized a meticulously constructed measure of facial attractiveness based on the independent ratings of high-school yearbook photographs. We used linked death information from the National Death Index-plus through 2022 and Cox proportional hazard models as well as standard life-table techniques. We found that the least attractive rated sextile of the sample had significantly higher hazards of mortality (HR: 1.168, p < 0.01) compared to the middle rated four sextiles of attractiveness. This finding remained robust to the inclusion of covariates describing high-school achievement, intelligence, family background, earnings as adults, as well as mental and physical health in middle adulthood. We also found that different specifications of the attractiveness measure consistently indicated no significant differences in the mortality hazard between highly attractive and average-looking people. Using life-table techniques, we next illustrated that among women in the least attractive sextile, at age 20 their life expectancy was nearly 2 years less than others'; among men in the least attractive sextile, it was nearly 1 year less at age 20.

Air pollution and life expectancy in the USA: Do medical innovation, health expenditure, and economic complexity matter?

Regardless of a country's income level, air pollution poses a significant environmental threat to human health. Long-term exposure to air pollution often triggers cardiovascular and respiratory diseases. Thus, air pollution significantly reduces life expectancy worldwide. The USA is one of the world's largest polluters of CO2 emissions, often used to represent air pollution. In this context, the main objective of this study is to examine the relationship between air pollution and life expectancy in the USA. In doing so, we control for the role of medical innovation, health expenditures, economic complexity, and government effectiveness using data for the period 1995-2019. The results indicate the existence of a cointegration relationship in the proposed model. The long-run coefficients are statistically positive for medical innovation and negative for CO2 emissions, economic complexity, and government effectiveness. On the other hand, health expenditures are ineffective in terms of life expectancy. Accordingly, medical innovation raises life expectancy, whereas CO2 emissions, economic complexity, and government effectiveness decrease it. Higher economic prosperity and health expenditures are not always beneficial to life expectancy. Therefore, policymakers need to take action to reduce air pollution and increase the comprehensiveness of economic prosperity benefits and health expenditure efficiency.

Social and Economic Determinants of Life Expectancy at Birth in Eastern Europe.

Life expectancy at birth is considered a parameter of the social development, health system, or economic development of a country. We aimed to investigate the effects of GDP per capita (as the economic factor), health care expenditure, the number of medical doctors (as social factors), and CO2 emissions (as the environmental factor) on life expectancy. We used panel data analysis for 13 Eastern European countries over the 2000-2020 period. After performing the analysis, we used a cross-country fixed-effects panel (GLS with SUR weights). According to our model, a one percent increase in health expenditure (as % of GDP) increases life expectancy at birth by 0.376 years, whereas each additional medical doctor per 10,000 inhabitants increases life expectancy at birth by 0.088 years on average. At the same time, each additional 10,000 USD per capita each year would increase life expectancy at birth by 1.8 years on average. If CO2 emissions increase by 1 metric ton per capita, life expectancy at birth would decrease by 0.24 years, suggesting that higher carbon emissions are capable of reducing longevity. Every European country has to make special efforts to increase the life expectancy of its inhabitants by applying economic and health policies focused on the well-being of the population.

Social Determinants of Health Among American Indians and Alaska Natives and Tribal Communities: Comparison with Other Major Racial and Ethnic Groups in the United States, 1990-2022.

Background and Objective: Limited research exists on health inequities between American Indians and Alaska Natives (AIANs), tribal communities, and other population groups in the United States. To address this gap in research, we conducted time-trend analyses of social determinants of health and disease outcomes for AIANs as a whole and specific tribal communities and compared them with those from the other major racial/ethnic groups. Methods: We used data from the 1990-2022 National Vital Statistics System, 2015-2022 American Community Survey, and the 2018-2020 Behavioral Risk Factor Surveillance System to examine socioeconomic, health, disability, disease, and mortality patterns for AIANs. Results: In 2021, life expectancy at birth was 70.6 years for AIANs, lower than that for Asian/Pacific Islanders (APIs) (84.1), Hispanics (78.8), and non-Hispanic Whites (76.3). All racial/ethnic groups experienced a decline in life expectancy between the pre-pandemic year of 2019 and the peak pandemic year of 2021. However, the impact of COVID-19 was the greatest for AIANs and Blacks whose life expectancy decreased by 6.3 and 5.8 years, respectively. The infant mortality rate for AIANs was 8.5 per 1,000 live births, 78% higher than the rate for non-Hispanic Whites. One in five AIANs assessed their physical and mental health as poor, at twice the rate of non-Hispanic Whites or the general population. COVID-19 was the leading cause of death among AIANs in 2021. Risks of mortality from alcohol-related problems, drug overdose, unintentional injuries, and homicide were higher among AIANs than the general population. AIANs had the highest overall disability, mental and ambulatory disability, health uninsurance, unemployment, and poverty rates, with differences in these indicators varying markedly across the AIAN tribes. Conclusion and Global Health Implications: AIANs remain a disadvantaged racial/ethnic group in the US in many health and socioeconomic indicators, with poverty rates in many Native American tribal groups and reservations exceeding 40%.

Eco-friendly revenues for healthcare: assessing the relationship between green taxation, public health expenditures, and life expectancy in China.

Introduction: The synergy of green taxation, public health expenditures, and life expectancy emerges as a compelling narrative in the intricate symphony of environmental responsibility and public well-being. Therefore, this study examine the impact of green taxation on life expectancy and the moderating role of public health expenditure on the said nexus, particularly in the context of China, an emerging economy. Methods: Statistical data is collected from the National Bureau of Statistics of China to empirically examine the proposed relationships. The dataset contains provincial data across years. Results: Using fixed-effect and system GMM regression models alongwith control variables, the results found a positive and statistically significant influence of green taxation on life expectancy. Moreover, public health expenditures have a positive and statistically significant partial moderating impact on the direct relationship. Discussion: These findings suggest that the higher cost of pollution encourages individuals and businesses to shift to less environmentally harmful alternatives, subsequently improving public health. Moreover, government investment in the health sector increases the availability and accessibility of health facilities; thus, the positive impact of green taxation on public health gets more pronounced. The findings significantly contribute to the fields of environmental and health economics and provide a new avenue of research for the academic community and policymakers.

Prevalence and associated risk factors of sarcopenia in community-dwelling older adults in Pakistan: a cross-sectional study.

BACKGROUND: Advancements in medical facilities have led to an increase in global life expectancy, emphasizing the need to address age-related health issues. Sarcopenia, characterized by muscle mass loss, poses significant challenges for older adults. Despite a higher prevalence in Asian populations, there is a remarkable absence of studies addressing sarcopenia among the older adults in Pakistan. This research aims to determine sarcopenia prevalence, identify risk factors, and explore gender- and age-specific patterns among older adults in Pakistan. METHODS: A cross-sectional study involving 142 participants (65 males, 77 females) aged 60 and above was conducted using DEXA scans. Over a six-month period from January to June 2023, data were collected from the Islamabad Diagnostic Centre. This comprehensive dataset covered anthropometric measurements, body composition details, and health parameters. Statistical analyses, including logistic regression, were employed to examine the associations between sarcopenia and various factors. RESULTS: Sarcopenia manifested in 47.18% of the older adult population (n = 142), with a distribution of 39 males (60%) and 28 females (36.36%). The investigation unveiled a compelling correlation between underweight status and sarcopenia across genders. Indeed, males exhibited a significant negative correlation between skeletal muscle mass index and age, whereas females did not show a statistically significant association. Males presented higher odds of sarcopenia in comparison to females (Odds Ratio [OR] = 2.63, 95% Confidence Interval [CI]: 1.33-5.18, p = 0.005). Age (OR = 1.12, 95% CI: 1.02-1.22, p = 0.014), lower BMI (OR = 0.35, 95% CI: 0.20-0.60, p < 0.001), and reduced body fat percentage (OR = 1.75, 95% CI: 1.31-2.33, p < 0.001) emerged as significant contributors to sarcopenia. These detailed gender-specific findings emphasize the importance of customizing intervention strategies to address gender disparities in sarcopenia risk factors. CONCLUSION: This study highlights the significant prevalence of sarcopenia among older adults in Pakistan, with distinct gender and age-related patterns observed. The overall prevalence of sarcopenia was found to be 47.18%, with higher rates among males compared to females. Age emerged as a significant risk factor, with each additional year increasing the odds of sarcopenia. Furthermore, weight, BMI, lean mass, and total body fat demonstrated important associations with sarcopenia prevalence, highlighting the multifaceted nature of this condition. The practical implications of this study emphasize the need for targeted screening programs and personalized interventions to mitigate sarcopenia's impact, informing healthcare policies and public health strategies in Pakistan.

Survival of propionic acidemia patients with liver transplant.

Propionic acidemia (PA) is a rare metabolic disorder affecting amino acid metabolism. Liver transplantation improves some outcomes, but the impact on long-term survival remains unclear. A systematic literature review and survival analysis, identifying 94 PA patients who underwent transplantation, revealed a survival probability of 62% at age 33; while median survival was estimated at 40 years. These findings highlight a substantial survival deficit of PA patients compared to the general population despite liver transplantation.

Renal involvement in adults with cystic fibrosis: study of 89 patients. / Afectación renal en adultos con fibrosis quística: estudio de 89 pacientes.

INTRODUCTION: We are assisting to an increase in survival rates among individuals with cystic fibrosis (CF). Until now, renal involvement was a minority issue, but with the rise in life expectancy, we will likely see an increase in its prevalence. Our main objective was to assess renal function in CF and study risk factors associated with its deterioration. METHODS: A cross-sectional, retrospective study was conducted, including adults with CF. Clinical, respiratory function, microbiological, blood and urine analysis, and major chronic treatments received were collected. RESULTS: Eighty nine patients with a mean age of 35±12 years were analyzed. Mean serum creatinine levels were 0.8±0.2mg/dL. 10.6% had a glomerular filtration rate less than 90mL/min/1.73m2. No patient showed albuminuria. In multivariate model, only age was an independent risk factor for reduced glomerular filtration (OR: 0.344; 95%CI: 0.004-0.017; P=.002). CONCLUSIONS: 11% of CF adults show decreased glomerular filtration, with age being the sole independent risk factor. Vigilance for this uncommon condition is crucial.

Cognitive Behavioral Therapy and Hypnosis in the Treatment of Major Depressive Disorder: A Randomized Control Trial.

We investigated whether adding hypnosis to CBT (CBTH) improved treatment outcomes for MDD with a two-armed, parallel-treated, randomized-controlled trial using anonymous self-report and clinician-blinded assessments. Expectancy, credibility, and attitude to hypnosis were also examined. Participants (n = 66) were randomly allocated to 10-weekly sessions of group-based CBT or CBTH. LMM analyses of ITT and Completer data at post-treatment, six-month and 12-month follow-up showed that both treatments were probably efficacious but we did not find significant differences between them. Analyses of remission and response to treatment data revealed that the CBTH Completer group significantly outperformed CBT at 12-month follow-up (p = .011). CBTH also displayed significantly higher associations between credibility, expectancy and mood outcomes up to 12-month follow-up (all p < .05 or better), while attitude to hypnosis showed one significant association (r = -0.57, p < .05). These results suggest that hypnosis shows promise as an adjunct in the treatment of MDD but a larger sample size is required to fully test its merits.

"If You Don't Eat, You Can Get Drunk Faster": A Qualitative Investigation of Food and Alcohol Disturbance (FAD) Expectancies.

Background: Food and alcohol disturbance (FAD; i.e., use of any compensatory behavior within the context of a drinking episode to offset alcohol-related calories and/or enhance the effects of alcohol) is prevalent among U.S. college students and associated with negative consequences. Expectancies for anticipated outcomes of alcohol use and thinness/restriction behaviors, which comprise FAD, serve as promising targets of intervention for these behaviors individually; however, no study to date has identified or examined FAD expectancies, specifically. Objectives: The purpose of this study was to qualitatively examine the positive and negative FAD expectancies described by students experienced with FAD. Methods: Semi-structured open-ended interviews were conducted with 22 undergraduates with a lifetime history of FAD behavior (72.7% female, 77.3% white non-Hispanic, Mage=20.14). Results: Positive FAD expectancy themes included: Mood Improvement, Appearance/Weight-related Benefits, Alcohol Enhancement, and Social Approval and Connectedness. Negative FAD expectancy themes included: Reputational and Social Concerns, Negative Physical Consequences, Negative Psychological Consequences, and Cognitive and Behavioral Impairment. Conclusions: Results suggest that while there are many similarities, FAD expectancies are distinct from existing alcohol and thinness/restriction expectancies. Specifically, the Mood Improvement theme conceptualizes mood-related improvement within the context of both positive and negative reinforcement and both the Social Approval and Connectedness and Social and Reputational Consequences themes focus on the ways in which one's peers may view and interact with others. Findings lay the groundwork for identifying expectancies that underlie FAD behaviors and provide directions for future research and intervention efforts.

Construction and evaluation of a practical model for measuring health-adjusted life expectancy (HALE) in China.

BACKGROUND: HALE is now a regular strategic planning indicator for all levels of the Chinese government. However, HALE measurements necessitate comprehensive data collection and intricate technology. Therefore, effectively converting numerous diseases into the years lived with disability (YLD) rate is a significant challenge for HALE measurements. Our study aimed to construct a simple YLD rate measurement model with high applicability based on the current situation of actual data resources within China to address challenges in measuring HALE target values during planning. METHODS: First, based on the Chinese YLD rate in the Global Burden of Disease (GBD) 2019, Pearson correlation analysis, the global optimum method, etc., was utilized to screen the best predictor variables from the current Chinese data resources. Missing data for predictor variables were filled in via spline interpolation. Then, multiple linear regression models were fitted to construct the YLD rate measurement model. The Sullivan method was used to measure HALE. The Monte Carlo method was employed to generate 95% uncertainty intervals. Finally, model performances were assessed using the mean absolute error (MAE) and mean absolute percentage error (MAPE). RESULTS: A three-input-parameter model was constructed to measure the age-specific YLD rates by sex in China, directly using the incidence of infectious diseases, the incidence of chronic diseases among persons aged 15 and older, and the addition of an under-five mortality rate covariate. The total MAE and MAPE for the combined YLD rate were 0.0007 and 0.5949%, respectively. The MAE and MAPE of the combined HALE in the 0-year-old group were 0.0341 and 0.0526%, respectively. There were slightly fewer males (0.0197, 0.0311%) than females (0.0501, 0.0755%). CONCLUSION: We constructed a high-accuracy model to measure the YLD rate in China by using three monitoring indicators from the Chinese national routine as predictor variables. The model provides a realistic and feasible solution for measuring HALE at the national and especially regional levels, considering limited data.