Are global and regional improvements in life expectancy and in child, adult and senior survival slowing?

Does club convergence matter in health outcomes? Evidence from Indian states

BACKGROUND

Population health is vital to a nation's overall well-being and development. To achieve sustainable human development, a reduction in health inequalities and an increase in interstate convergence in health indicators is necessary. Evaluation of the convergence patterns can aid the government in monitoring the health progress across the Indian states. This study investigates the progressive changes in the convergence and divergence patterns in health status across major states of India from 1990 to 2018.

METHODS

Sigma plots (σ), kernel density plots, and log t-test methods are used to test the convergence, divergence, and club convergence patterns in the health indicators at the state level.

RESULTS

The result of the sigma convergence suggests that life expectancy at birth has converged across all states. After 2006, however, the infant mortality rate, neonatal mortality rate, and total fertility rate experienced a divergence pattern. The study's findings indicate that life expectancy at birth converges in the same direction across all states, falling into the same club (Club One). However, considerable cross-state variations and evidence of clubs' convergence and divergence are observed in the domains of infant mortality rate, neonatal death rate, and total fertility rate. As suggested by the kernel density estimates, life expectancy at birth stratifies, polarizes, and becomes unimodal over time, although with a single stable state. A bimodal distribution was found for infant, neonatal, and total fertility rates.

CONCLUSIONS

Therefore, healthcare strategies must consider each club's transition path while focusing on divergence states to reduce health variations and improve health outcomes for each group of individuals.

Do Cardiovascular Diseases Significantly Influence Healthy Aging?

Population development is reflected by sustainable development indicators, among them are the indicators describing longevity and healthy aging. Longevity is reflected by life expectancy, and healthy aging is reflected by healthy life expectancy; high values of these indicators reflect good conditions of living for people. Life expectancy and healthy life expectancy analyses are of big interest among academics, policymakers, medical researchers, and others in order to direct the flow of funds in the most effective way possible to the population groups in most need. High life expectancy and low birth rate will lead to aging of the population, having profound implications on the school age population, politics, healthcare, labor force, social protection, social security issues, and public finances. Healthy life expectancy reflects health conditions, including the impacts of mortality and morbidity. As cardiovascular disease causes more than half of all deaths across Europe, this paper examines the influence of cardiovascular disease on longevity and healthy aging across Europe. The methodology was chosen so as to test the research hypotheses: (a) principal component analysis provided the socio-economic factors that are correlated to longevity and healthy aging; (b) regression analysis identified the relationship between healthy aging and cardiovascular disease; and (c) hierarchical cluster analysis allowed us to find common features of the groups of countries according to healthy aging and longevity.

Self-reported activities of daily living, health and quality of life among older adults in South Africa and Uganda: a cross sectional study

BACKGROUND

Difficulties in performing the activities of daily living (ADL) are common among middle-aged and older adults. Inability to perform the basic tasks as well as increased healthcare expenditure and dependence on care can have debilitating effects on health and quality of life. The objective of this study was to examine the relationship between self-reported difficulty in activities of daily living (ADL), health and quality of life among community-dwelling, older population in South Africa and Uganda.

METHODS

We analyzed cross-sectional data on 1495 men and women from South Africa (n = 514) and Uganda (n = 981) which were extracted from the SAGE Well-Being of Older People Study (WOPS 2011-13). Outcome variables were self-reported health and quality of life (QoL). Difficulty in ADL was assessed by self-reported answers on 12 different questions covering various physical and cognitive aspects. The association between self-reported health and quality of life with ADL difficulties was calculated by using multivariable logistic regression models.

RESULTS

Overall percentage of good health and good quality of life was 40.4% and 20%, respectively. The percentage of respondents who had 1-3, 3-6, > 6 ADL difficulties were 42.4%7, 30.97% and 14.85%, respectively. In South Africa, having > 6 ADL difficulties was associated with lower odds of good health among men [Odds ratio = 0.331, 95%CI = 0.245,0.448] and quality of life among men [Odds ratio = 0.609, 95%CI = 0.424,0.874] and women [Odds ratio = 0.129, 95%CI = 0.0697,0.240]. In Uganda, having > 6 ADL difficulties was associated lower odds of good health [Odds ratio = 0.364, 95%CI = 0.159,0.835] and quality of life [Odds ratio = 0.584, 95%CI = 0.357,0.954].

CONCLUSION

This study concludes that difficulty in ADL has a significant negative association with health and quality of life among community-dwelling older population (> 50 years) in South Africa and Uganda. The sex differences support previous findings on differential health outcomes among men and women, and underline the importance of designing sex-specific health intervention programs.

Variability in Health Care Quality Measurement among Studies Using Service Provision Assessment Data from Low- and Middle-Income Countries: A Systematic Review

Quality of care is essential for improving health outcomes, but heterogeneity in theoretical frameworks and metrics can limit studies' generalizability and comparability. This research aimed to compare definitions of care quality across research articles that incorporate data from Service Provision Assessment (SPA) surveys. Following Preferred Reporting Items for Systematic Review and Meta-Analysis guidelines, we used a keyword search in PubMed. Each author reviewed abstracts, then full texts, for inclusion criteria, and peer-reviewed publications of empirical analysis using SPA data. The search yielded 3,250 unique abstracts, and 34 publications were included in the final analysis. We extracted details on the SPA dataset(s) used, theoretical framework applied, and how care quality was operationalized. The 34 included articles used SPA data from 14 surveys in nine countries (all in sub-Saharan Africa plus Haiti). One-third of these articles (n = 13) included no theoretical or conceptual framework for care quality. Among those articles referencing a framework, the most common was the Donabedian model (n = 7). Studies operationalized quality constructs in extremely different ways. Few articles included outcomes as a quality construct, and the operationalization of structure varied widely. A key asset of SPA surveys, owing to the standardized structure and use of harmonized data collection instruments, is the potential for cross-survey comparisons. However, this is limited by the lack of a common framework for measuring and reporting quality in the existing literature using SPA data. Service Provision Assessment surveys offer unique and valuable insights, and a common framework and approach would substantially strengthen the body of knowledge on quality of care in low-resource settings.

Inequalities in life expectancy: An analysis of 201 countries, 1950-2015

With global improvements in life expectancy, one important concern is to understand whether there is reduction in inequalities or greater cross-country convergence in expected length of life at various age thresholds. Insights on convergence patterns can help governments and other stakeholders decide upon health investments across age groups. This paper applies a novel econometric approach to test convergence and identify convergent clubs in life expectancy at various age groups for 201 countries/areas between 1950 and 2015. Life expectancy estimates for 201 countries/areas (1950 and 2015) from United Nations Department of Economic and Social Affairs (UNDESA) World Population Prospects (2015 Revision) are used for the analysis. We find global convergence in life expectancy at birth, but do not observe grand convergence for any other age groups. In the case of life expectancy at younger ages, most countries are moving in the same direction, but significant cross-country variations and convergence clubs are noted for older adults and elderly. Most of the better performing countries/areas are from Western Europe, Northern Europe and North America, the average performers are from South America, Eastern Europe, Southern Europe, South Asia, Central Asia, Eastern Africa, Central Africa, and the Caribbean Islands whereas the poor-performing ones are mainly Western Africa, Southern African and Oceania. In addition, we observe increasing between-country variance in life expectancy for older adults and elderly. The analysis reveals increasing global heterogeneity in the survival experience of older adults and the elderly population which has remained a neglected aspect in the discussions on global life expectancy improvements. Data, research and policy focus on life-expectancy at older ages is therefore critical to accelerate survival gains among older adults and elderly, particularly from the developing world.

Arachidonate 5-lipoxygenase (ALOX5) gene polymorphism is associated with Alzheimer's disease and body mass index

Dementias of old age, in particular Alzheimer's disease (AD), pose a growing threat to the longevity and quality of life of individuals as well as whole societies world-wide. The risk factors are both genetic and environmental (life-style) and there is an overlap with similar factors predisposing to cardiovascular diseases (CVD). Using a case-control genetic approach, we have identified a SNP (rs10507391) in ALOX5 gene, previously associated with an increased risk of stroke, as a novel genetic risk factor for AD. ALOX5 gene encodes a 5'-lipoxygenase (5'-LO) activating protein (FLAP), a crucial component of the arachidonic acid/leukotriene inflammatory cascade. A-allele of rs4769874 polymorphism increases the risk of AD 1.41-fold (p<0.0001), while AA genotype does so 1.79-fold (p<0.0001). In addition, GG genotype of rs4769874 polymorphism is associated with a modest increase in body mass index (BMI). We discuss potential biochemical mechanisms linking the SNP to AD and suggest possible preventive pharmacotherapies some of which are based on commonly available natural products. Finally, we set the newly identified AD risk factors into a broader context of similar CVD risk factors to generate a more comprehensive picture of interacting genetics and life-style habits potentially leading to the deteriorating mental health in the old age.