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The extent of demographic changes in Europe is much more drastic than in the United States. This paper studies the effects of population aging on the interactions between economic growth and living standards in Europe with labor market and pension reform, behavioral adaptations, and international capital flows. Our analysis is based on an overlapping generations model with behavioral reactions to reform which is extended to the multi-country situation typical for Europe. While the negative effects of population aging on growth in Europe can in principle be compensated by reforms and economic adaptation mechanisms, they may be partially offset by behavioral reactions.

The US population will age rapidly for several decades and then more slowly, with less aging than most rich nations. Health of the elderly has greatly improved, but disability stagnated after 2000. Retirement age reversed its decline in the mid-1990s and health status leaves ample room for increased elder labor supply. Many older people have inadequate retirement savings and face additional risks including uncertainty about both public and private pensions and health insurance. Population aging may cause a small decline in rates of return. The main problem is the impact of population aging on public programs for the elderly.

This report is organized in such a way that the key policy options and strategic priorities are based on the country context, including the burden of non-communicable diseases (NCDs) and associated risk factors and the existing capacity of the health system. Chapter one describes the country and regional contexts and the evidence of the demographic and epidemiological transitions in Bangladesh; chapter two outlines the disease burden of major NCDs, including the equity and economic impact and the common risk factors; chapter three provides an assessment of the health system and its capacity to prevent and control major NCDs; chapter four summarizes ongoing NCD interventions and activities in Bangladesh and highlights the remaining gaps and challenges; and chapter five presents key policy options and strategic priorities to prevent and control NCDs.

The aging of the US population undoubtedly will be associated with macroeconomic changes. In particular, some combination of lower consumption growth and increased labor input will ultimately be required. But, the timing of these changes can have important effects on variables like the rate of return to capital and wages. If the adjustment to consumption is slow, which would be the case if budget deficits were allowed to rise significantly as the population ages, then aging is likely to be associated with an increase in the return to capital and a reduction in wages.

Mortality gradients by education and income have been rising in the United States and elsewhere. However, their impact on Social Security progressivity has received relatively little attention, and the impact on Medicare has received effectively none. This paper uses the Future Elderly Model to estimate the effects of increased mortality gaps on the progressivity of Social Security and Medicare for those born between 1928 and 1990. It finds significant reductions in progressivity of both programs if current mortality trends persist and noticeable effects on total program costs. The effects are large enough to warrant more attention from both policy-makers and researchers.

The past half-century has seen enormous changes in the demographic makeup of Latin America and the Caribbean (LAC). In the 1950s, LAC had a small population of about 160 million people, less than today's population of Brazil. Two-thirds of Latin Americans lived in rural areas. Families were large and women had one of the highest fertility rates in the world, low levels of education, and few opportunities for work outside the household. Investments in health and education reached only a small fraction of the children, many of whom died before reaching age five. Since then, the size of the LAC population has tripled and the mostly rural population has been transformed into a largely urban population. There have been steep reductions in child mortality, and investments in health and education have increased, today reaching a majority of children. Fertility has been more than halved and the opportunities for women in education and for work outside the household have improved significantly. Life expectancy has grown by 22 years. Less obvious to the casual observer, but of significance for policy makers, a population with a large fraction of dependent children has evolved into a population with fewer dependents and a very large proportion of working-age adults. This overview seeks to introduce the reader to three groups of issues related to population aging in LAC. First is a group of issues related to the support of the aging and poverty in the life cycle. Second is the question of the health transition. Third is an understanding of the fiscal pressures that are likely to accompany population aging and to disentangle the role of demography from the role of policy in that process.

Identifying persons who have newly acquired HIV infections is critical for characterizing the HIV epidemic direction. We analyzed pooled data from nationally representative Population-Based HIV Impact Assessment surveys conducted across 14 countries in Africa for recent infection risk factors. We included adults 15-49 years of age who had sex during the previous year and used a recent infection testing algorithm to distinguish recent from long-term infections. We collected risk factor information via participant interviews and assessed correlates of recent infection using multinomial logistic regression, incorporating each survey's complex sampling design. Compared with HIV-negative persons, persons with higher odds of recent HIV infection were women, were divorced/separated/widowed, had multiple recent sex partners, had a recent HIV-positive sex partner or one with unknown status, and lived in communities with higher HIV viremia prevalence. Prevention programs focusing on persons at higher risk for HIV and their sexual partners will contribute to reducing HIV incidence.

Aims/hypothesis This study aimed to evaluate the association of types of sugar-sweetened beverages (SSB) (soft drinks, sweetened-milk beverages, sweetened tea/coffee), artificially sweetened beverages (ASB) and fruit juice with incident type 2 diabetes and determine the effects of substituting non-SSB for SSB and the population-attributable fraction of type 2 diabetes due to total sweet beverages. Methods Beverage consumption of 25,639 UK-resident adults without diabetes at baseline (1993–1997) in the European Prospective Investigation into Cancer and Nutrition (EPIC)-Norfolk study was assessed using 7-day food diaries. During 10.8 years of follow-up 847 incident type 2 diabetes cases were verified. Results In adjusted Cox regression analyses there were positive associations (HR [95% CI] per serving/day]) for soft drinks 1.21 (1.05, 1.39), sweetened-milk beverages 1.22 (1.05, 1.43) and ASB 1.22 (1.11, 1.33), but not for sweetened tea/coffee 0.98 (0.94, 1.02) or fruit juice 1.01 (0.88, 1.15). Further adjustment for adiposity attenuated the association of ASB, HR 1.06 (0.93, 1.20). There was a positive dose–response relationship with total sweet beverages: HR per 5% energy 1.18 (1.11, 1.26). Substituting ASB for any SSB did not reduce the incidence in analyses accounting for energy intake and adiposity. Substituting one serving/day of water or unsweetened tea/coffee for soft drinks and for sweetened-milk beverages reduced the incidence by 14%–25%. If sweet beverage consumers reduced intake to below 2% energy, 15% of incident diabetes might be prevented. Conclusions/interpretation The consumption of soft drinks, sweetened-milk beverages and energy from total sweet beverages was associated with higher type 2 diabetes risk independently of adiposity. Water or unsweetened tea/coffee appear to be suitable alternatives to SSB for diabetes prevention. These findings support the implementation of population-based interventions to reduce SSB consumption and increase the consumption of suitable alternatives.

Background. Rotavirus vaccines have been introduced in many low-income African countries including Malawi in 2012. Despite early evidence of vaccine impact, determining persistence of protection beyond infancy, the utility of the vaccine against specific rotavirus genotypes, and effectiveness in vulnerable subgroups is important. Methods. We compared rotavirus prevalence in diarrheal stool and hospitalization incidence before and following rotavirus vaccine introduction in Malawi. Using case-control analysis, we derived vaccine effectiveness (VE) in the second year of life and for human immunodeficiency virus (HIV)–exposed and stunted children. Results. Rotavirus prevalence declined concurrent with increasing vaccine coverage, and in 2015 was 24% compared with prevaccine mean baseline in 1997–2011 of 32%. Since vaccine introduction, population rotavirus hospitalization incidence declined in infants by 54.2% (95% confidence interval [CI], 32.8–68.8), but did not fall in older children. Comparing 241 rotavirus cases with 692 test-negative controls, VE was 70.6% (95% CI, 33.6%–87.0%) and 31.7% (95% CI, −140.6% to 80.6%) in the first and second year of life, respectively, whereas mean age of rotavirus cases increased from 9.3 to 11.8 months. Despite higher VE against G1P[8] than against other genotypes, no resurgence of nonvaccine genotypes has occurred. VE did not differ significantly by nutritional status (78.1% [95% CI, 5.6%–94.9%] in 257 well-nourished and 27.8% [95% CI, −99.5% to 73.9%] in 205 stunted children; P = .12), or by HIV exposure (60.5% [95% CI, 13.3%–82.0%] in 745 HIV-unexposed and 42.2% [95% CI, −106.9% to 83.8%] in 174 exposed children; P = .91). Conclusions. Rotavirus vaccination in Malawi has resulted in reductions in disease burden in infants <12 months, but not in older children. Despite differences in genotype-specific VE, no genotype has emerged to suggest vaccine escape. VE was not demonstrably affected by HIV exposure or stunting.

Background Whether long-term trajectories of central adiposity indices predict cardiometabolic diseases better than BMI remains uncertain. We compared trajectories of central adiposity indices and BMI in relation to cardiometabolic outcomes and estimated potential population benefits from trajectory improvement. Methods Among 4,295 adults from the China Health and Retirement Longitudinal Study, group-based trajectory modeling identified three trajectories for each obesity index. BMI, waist circumference (WC), waist-to-height ratio (WHtR), and body roundness index (BRI) showed Low-stable, Moderate-stable, and High-stable patterns, whereas the high ABSI (a body shape index) group followed a High-to-low pattern. Cox models examined associations with incident diabetes, heart disease, stroke, and cardiometabolic multimorbidity (CMM) between 2015 and 2020. Δβ bootstrap tests compared association strength across indices, and two one-sided tests (TOST) assessed equivalence within ± 10–15%. Population impact fractions (PIFs) estimated preventable events under counterfactual trajectory-shift scenarios. Results During follow-up, 379 diabetes, 458 heart disease, 252 stroke, and 84 CMM events occurred. Compared with the Low-stable group, the High-stable groups of BMI, WC, WHtR, and BRI were associated with higher risks of all outcomes, with hazard ratios of approximately 2.7–3.5 for diabetes and broadly elevated risks for heart disease, stroke, and CMM, whereas ABSI showed no significant associations. Δβ contrasts indicated that WHtR and BRI had significantly stronger associations with diabetes than BMI and WC, while differences among indices for heart disease and stroke were small and often within TOST equivalence margins. Under the realistic partial-shift scenario, PIFs suggested that improving trajectories could avert about 6% of diabetes cases and 4–7% of CMM events, with smaller but meaningful reductions in heart disease and stroke. Conclusions Central adiposity indices, particularly WHtR and BRI, demonstrated favorable trajectory-based discrimination for diabetes, whereas differences among anthropometric measures were modest for cardiovascular outcomes. These findings support an outcome-specific and context-sensitive approach to adiposity assessment.