Real-World Effectiveness of BNT162b2 Against Infection and Severe Diseases in Children and Adolescents.

BACKGROUND: The efficacy of the BNT162b2 vaccine in pediatrics was assessed by randomized trials before the Omicron variant's emergence. The long-term durability of vaccine protection in this population during the Omicron period remains limited. OBJECTIVE: To assess the effectiveness of BNT162b2 in preventing infection and severe diseases with various strains of the SARS-CoV-2 virus in previously uninfected children and adolescents. DESIGN: Comparative effectiveness research accounting for underreported vaccination in 3 study cohorts: adolescents (12 to 20 years) during the Delta phase and children (5 to 11 years) and adolescents (12 to 20 years) during the Omicron phase. SETTING: A national collaboration of pediatric health systems (PEDSnet). PARTICIPANTS: 77 392 adolescents (45 007 vaccinated) during the Delta phase and 111 539 children (50 398 vaccinated) and 56 080 adolescents (21 180 vaccinated) during the Omicron phase. INTERVENTION: First dose of the BNT162b2 vaccine versus no receipt of COVID-19 vaccine. MEASUREMENTS: Outcomes of interest include documented infection, COVID-19 illness severity, admission to an intensive care unit (ICU), and cardiac complications. The effectiveness was reported as (1-relative risk)*100, with confounders balanced via propensity score stratification. RESULTS: During the Delta period, the estimated effectiveness of the BNT162b2 vaccine was 98.4% (95% CI, 98.1% to 98.7%) against documented infection among adolescents, with no statistically significant waning after receipt of the first dose. An analysis of cardiac complications did not suggest a statistically significant difference between vaccinated and unvaccinated groups. During the Omicron period, the effectiveness against documented infection among children was estimated to be 74.3% (CI, 72.2% to 76.2%). Higher levels of effectiveness were seen against moderate or severe COVID-19 (75.5% [CI, 69.0% to 81.0%]) and ICU admission with COVID-19 (84.9% [CI, 64.8% to 93.5%]). Among adolescents, the effectiveness against documented Omicron infection was 85.5% (CI, 83.8% to 87.1%), with 84.8% (CI, 77.3% to 89.9%) against moderate or severe COVID-19, and 91.5% (CI, 69.5% to 97.6%) against ICU admission with COVID-19. The effectiveness of the BNT162b2 vaccine against the Omicron variant declined 4 months after the first dose and then stabilized. The analysis showed a lower risk for cardiac complications in the vaccinated group during the Omicron variant period. LIMITATION: Observational study design and potentially undocumented infection. CONCLUSION: This study suggests that BNT162b2 was effective for various COVID-19-related outcomes in children and adolescents during the Delta and Omicron periods, and there is some evidence of waning effectiveness over time. PRIMARY FUNDING SOURCE: National Institutes of Health.

Real-world Effectiveness of BNT162b2 Against Infection and Severe Diseases in Children and Adolescents.

Background: The efficacy of the BNT162b2 vaccine in pediatrics was assessed by randomized trials before the Omicron variant's emergence. The long-term durability of vaccine protection in this population during the Omicron period remains limited. Objective: To assess the effectiveness of BNT162b2 in preventing infection and severe diseases with various strains of the SARS-CoV-2 virus in previously uninfected children and adolescents. Design: Comparative effectiveness research accounting for underreported vaccination in three study cohorts: adolescents (12 to 20 years) during the Delta phase, children (5 to 11 years) and adolescents (12 to 20 years) during the Omicron phase. Setting: A national collaboration of pediatric health systems (PEDSnet). Participants: 77,392 adolescents (45,007 vaccinated) in the Delta phase, 111,539 children (50,398 vaccinated) and 56,080 adolescents (21,180 vaccinated) in the Omicron period. Exposures: First dose of the BNT162b2 vaccine vs. no receipt of COVID-19 vaccine. Measurements: Outcomes of interest include documented infection, COVID-19 illness severity, admission to an intensive care unit (ICU), and cardiac complications. The effectiveness was reported as (1-relative risk)*100% with confounders balanced via propensity score stratification. Results: During the Delta period, the estimated effectiveness of BNT162b2 vaccine was 98.4% (95% CI, 98.1 to 98.7) against documented infection among adolescents, with no significant waning after receipt of the first dose. An analysis of cardiac complications did not find an increased risk after vaccination. During the Omicron period, the effectiveness against documented infection among children was estimated to be 74.3% (95% CI, 72.2 to 76.2). Higher levels of effectiveness were observed against moderate or severe COVID-19 (75.5%, 95% CI, 69.0 to 81.0) and ICU admission with COVID-19 (84.9%, 95% CI, 64.8 to 93.5). Among adolescents, the effectiveness against documented Omicron infection was 85.5% (95% CI, 83.8 to 87.1), with 84.8% (95% CI, 77.3 to 89.9) against moderate or severe COVID-19, and 91.5% (95% CI, 69.5 to 97.6)) against ICU admission with COVID-19. The effectiveness of the BNT162b2 vaccine against the Omicron variant declined after 4 months following the first dose and then stabilized. The analysis revealed a lower risk of cardiac complications in the vaccinated group during the Omicron variant period. Limitations: Observational study design and potentially undocumented infection. Conclusions: Our study suggests that BNT162b2 was effective for various COVID-19-related outcomes in children and adolescents during the Delta and Omicron periods, and there is some evidence of waning effectiveness over time. Primary Funding Source: National Institutes of Health.

It Will Take a Global Movement to Curb Corruption in Health Systems Comment on "We Need to Talk About Corruption in Health Systems".

Corruption in health systems is a problem around the world. Prior research consistently shows that corruption is detrimental to population health. Yet public health professionals are slow to address this complicated issue on a global scale. In the editorial entitled "We Need to Talk About Corruption in Health Systems" concern with the general lack of discourse on this topic amongst health professionals is highlighted. In this invited commentary three contributing factors that hamper public dialogue on corruption are discussed. These include (i) corrupt acts are often not illegal, (ii) government and medical professionals continued acceptance of corruption in the health systems, and (iii) lack of awareness within the general public on the extent of the problem. It is advocated that a global movement that is fully inclusive needs to occur to eradicate corruption.

Linking Health System Responsiveness to Political Rights and Civil Liberties: A Multilevel Analysis Using Data From 44 Countries.

Responsiveness is a dimension of health system functioning and might be dependent upon contextual factors related to politics. Given this, we performed cross-national comparisons with the aim of investigating: 1) the associations of political factors with patients' reports of health system responsiveness and 2) the extent to which health input and output might explain these associations. World Health Survey data were analyzed for 44 countries (n = 103 541). Main outcomes included, respectively, 8 and 7 responsiveness domains for inpatient and outpatient care. Linear multilevel regressions were used to assess the associations of politics (namely, civil liberties and political rights), socioeconomic development, health system input, and health system output (measured by maternal mortality) with responsiveness domains, adjusted for demographic factors. Political rights showed positive associations with dignity (regression coefficient = 0.086 [standard error = 0.039]), quality (0.092 [0.049]), and support (0.113 [0.048]) for inpatient care and with dignity (0.075 [0.040]), confidentiality (0.089 [0.043]), and quality (0.124 [0.053]) for outpatient care. Positive associations were observed for civil liberties as well. Health system input and output reduced observed associations. Results tentatively suggest that strengthening political rights and, to a certain extent, civil liberties might improve health system responsiveness, in part through their effect on health system input and output.

Socioeconomic inequalities in mortality and repeated measurement of explanatory risk factors in a 25 years follow-up.

BACKGROUND: Socioeconomic inequalities in mortality can be explained by different groups of risk factors. However, little is known whether repeated measurement of risk factors can provide better explanation of socioeconomic inequalities in health. Our study examines the extent to which relative educational and income inequalities in mortality might be explained by explanatory risk factors (behavioral, psychosocial, biomedical risk factors and employment) measured at two points in time, as compared to one measurement at baseline. METHODS AND FINDINGS: From the Norwegian total county population-based HUNT Study (years 1984-86 and 1995-1997, respectively) 61 513 men and women aged 25-80 (82.5% of all enrolled) were followed-up for mortality in 25 years until 2009, employing a discrete time survival analysis. Socioeconomic inequalities in mortality were observed. As compared to their highest socioeconomic counterparts, the lowest educated men had an OR (odds ratio) of 1.41 (95% CI 1.29-1.55) and for the lowest income quartile OR = 1.59 (1.48-1.571), for women OR = 1.35 (1.17-1.55), and OR = 1.40 (1.28-1.52), respectively. Baseline explanatory variables attenuated the association between education and income with mortality by 54% and 54% in men, respectively, and by 69% and 18% in women. After entering time-varying variables, this attainment increased to 63% and 59% in men, respectively, and to 25% (income) in women, with no improvement in regard to education in women. Change in biomedical factors and employment did not amend the explanation. CONCLUSIONS: Addition of a second measurement for risk factors provided only a modest improvement in explaining educational and income inequalities in mortality in Norwegian men and women. Accounting for change in behavior provided the largest improvement in explained inequalities in mortality for both men and women, as compared to measurement at baseline. Psychosocial factors explained the largest share of income inequalities in mortality for men, but repeated measurement of these factors contributed only to modest improvement in explanation. Further comparative research on the relative importance of explanatory pathways assessed over time is needed.

All part of the job? The contribution of the psychosocial and physical work environment to health inequalities in Europe and the European health divide.

This study is the first to examine the contribution of both psychosocial and physical risk factors to occupational inequalities in self-assessed health in Europe. Data from 27 countries were obtained from the 2010 European Working Conditions Survey for men and women aged 16 to 60 (n = 21,803). Multilevel logistic regression analyses (random intercept) were applied, estimating odds ratios of reporting less than good health. Analyses indicate that physical working conditions account for a substantial proportion of occupational inequalities in health in both Central/Eastern and Western Europe. Physical, rather than psychosocial, working conditions seem to have the largest effect on self-assessed health in manual classes. For example, controlling for physical working conditions reduced the inequalities in the prevalence of"less than good health" between the lowest (semi- and unskilled manual workers) and highest (higher controllers) occupational groups in Europe by almost 50 percent (Odds Ratio 1.87, 95% Confidence Interval 1.62-2.16 to 1.42, 1.23-1.65). Physical working conditions contribute substantially to health inequalities across "post-industrial" Europe, with women in manual occupations being particularly vulnerable, especially those living in Central/Eastern Europe. An increased political and academic focus on physical working conditions is needed to explain and potentially reduce occupational inequalities in health.

A global study on lone mothers: exploring the associations of self-assessed general health with motherhood types and gender inequality in 32 countries.

BACKGROUND: In a study of 32 mostly non-affluent countries, we aimed to i) compare lone mother's general health to the health of other women and ii) assess whether the association of health with gender inequality was stronger among lone mothers than among other women. METHODS: World Health Survey data were analyzed on 57,182 women aged 18 to 50 in 32 countries. The main outcome was self-assessed general poor health. The Global Gender Gap Index (GGGI) was used to measure the magnitude of gender inequality within countries. Logistic multilevel regression was used to compare the health of different groups of women, and to study the possible influence of gender inequality. FINDINGS: Compared with all other women, lone mothers had the highest odds of poor health odds ratio (OR, 1.15; 95% confidence interval [CI], 1.09-1.22), also at 35 years or older with an OR of 1.18 (95% CI, 1.10-1.27). Lone mothers in Ethiopia and Tunisia had the highest odds of reporting poor health (OR, 1.65 [95% CI, 1.21-2.26] and OR, 1.57 [95% CI, 0.92-2.68], respectively). The degree of gender inequality was weakly related to cross-national variations in health of women. These associations were about similar for all women. For example, the OR for the GGGI was 1.03 for all women except coupled mothers. CONCLUSIONS: As within North America, lone mothers in non-affluent countries tend to have higher rates of poor health. The degree of gender inequality is not related to the relative health of lone mothers, suggesting that other characteristics of nations might be more influential.

Socioeconomic inequalities in smoking in low and mid income countries: positive gradients among women?

BACKGROUND: In Southern Europe, smoking among older women was more prevalent among the high educated than the lower educated, we call this a positive gradient. This is dominant in the early stages of the smoking epidemic model, later replaced by a negative gradient. The aim of this study is to assess if a positive gradient in smoking can also be observed in low and middle income countries in other regions of the world. METHODS: We used data of the World Health Survey from 49 countries and a total of 233,917 respondents. Multilevel logistic regression was used to model associations between individual level smoking and both individual level and country level determinants. We stratified results by education, occupation, sex and generation (younger vs. older than 45). Countries were grouped based on GDP and region. RESULTS: In Eastern Europe and the Eastern Mediterranean, we observed a positive gradient in smoking among older women and a negative gradient among younger women. In Sub-Saharan Africa and Latin America no clear gradient was observed: inequalities were relatively small. In South-East Asia and East Asia a strong negative gradient was observed. Among men, no positive gradients were observed, and like women the strongest negative gradients were seen in South-East Asia and East Asia. CONCLUSIONS: A positive socio-economic gradient in smoking was found among older women in two regions, but not among younger women. But contrary to predictions derived from the smoking epidemic model, from a worldwide perspective the positive gradients are the exception rather than the rule.

Examining self-rated health of young central and eastern Europeans in the context of other world regions.

BACKGROUND: Poor health is more prevalent in the east of Europe as compared with the west. This variation is often attributed to Soviet communism. Few studies investigate this health discrepancy within young adults who were children during this period. We studied the health of young adults by examining variations between world regions in general health between generations (18-65+). The individual and contextual mechanisms that might influence their health were also investigated. METHODS: World Health Survey data were analysed on young adults aged 18-34 (n = 91,823) and their elders aged 35+ (n = 132 362) from 59 countries. Main outcome was self-reported general health. Multi-level logistic regression was used to assess associations between general health and regions, while accounting for individual- and country-level socio-economic factors across age ranges. RESULTS: The prevalence of poor health was much higher for young adults in the Former Soviet Union region than in Western Europe, with the central European region being in-between.This pattern remained even after full adjustments, for the Former Soviet Union citizens [odds ratio 4.26 (95% confidence interval 1.77-10.24)] and for Central Europeans [odds ratio 1.73 (95% confidence interval 0.90-3.32)] as compared with western Europe. Age-specific analyses showed East-West health differences usually being larger as age increases (up to 65+). This age pattern seemed reversed for the south-west divide. CONCLUSIONS: The East-West health gap seems more pronounced for the Former Soviet Union young adults, rather than Central Europeans. It appears as though young adults from Central Europe might have been somewhat insulated from the ill-health effects of communism.

Sick regimes and sick people: a multilevel investigation of the population health consequences of perceived national corruption.

OBJECTIVE: There is a paucity of empirical work on the potential population health impact of living under a regime marred by corruption. African countries differ in the extent of national corruption, and we explore whether perceived national corruption is associated with population health across all rungs of society. METHODS: World Health Survey data were analysed on 72 524 adults from 20 African countries. The main outcome was self-reported poor general health. Multilevel logistic regression was used to assess the association between poor health and perceived corruption, while jointly accounting for individual- and country-level human development factors. In this research, we use Transparency International's corruption perception index (CPI), which measures 'both administrative and political corruption' on a 0-10 scale. A higher score pertains to a higher rate of perceived corruption within society. We also examined effect modification by gender, age and socio-economic status. RESULTS: Higher national corruption perception was consistently associated with an increase in poor health prevalence, also after multivariable adjustments, with odds ratio (OR) of 1.62 (95% CI: 1.01-2.60). Stratified analyses by age and gender suggested this same pattern in all subgroups. Positive associations between poor health and perceived corruption were evident in all socio-economic groups, with the association being somewhat more positive among less educated people (OR = 1.61, 95% CI: 1.01-2.58) than among more educated people (OR = 1.40, 95% CI: 0.83-2.37). CONCLUSIONS: This study is a cautious first step in empirically testing the general health consequences of corruption. Our results suggest that higher perceived national corruption is associated with general health of both men and women within all socio-economic groups across the lifespan. Further research is needed using more countries to assess the magnitude of the health consequences of corruption.

Smoking prevalence among migrants in the US compared to the US-born and the population in countries of origin.

OBJECTIVES: Smoking among migrants is known to differ from the host population, but migrants' smoking is rarely ever compared to the prevalence of smoking in their country of origin. The goal of this study is to compare the smoking prevalence among migrants to that of both the US-born population and the countries of origin. Further analyses assess the influence of sex, age at time of entry to the US and education level. METHODS: Data of 248,726 US-born and migrants from 14 countries were obtained from the Tobacco Use Supplement to the Current Population Survey (TUS-CPS) from 2006-2007. Data on 108,653 respondents from the corresponding countries of origin were taken from the World Health Survey (WHS) from 2002-2005. RESULTS: The prevalence of smoking among migrants (men: 14.2%, women: 4.1%) was lower than both the US-born group (men: 21.4%, women: 18.1%) and countries of origin (men: 39.4%, women: 11.0%). The gender gap among migrants was smaller than in the countries of origin. Age at time of entry to the US was not related to smoking prevalence for migrants. The risk of smoking for high-educated migrants was closer to their US counterparts. CONCLUSIONS: The smoking prevalence among migrants is consistently lower than both the country of origin levels and the US level. The theory of segmented assimilation is supported by some results of this study, but not all. Other mechanisms that might influence the smoking prevalence among migrants are the 'healthy migrant effect' or the stage of the smoking epidemic at the time of migration.

The influence of the macro-environment on physical activity: a multilevel analysis of 38 countries worldwide.

BACKGROUND: As indicated by the ANGELO framework and similar models, various environmental factors influence population levels of physical activity (PA). To date attention has focused on the micro-level environment, while evidence on the macro-level environment remains scarce and mostly limited to high-income countries. This study aims to investigate whether environmental factors at macro-level are associated with PA among a broader range of countries. METHODS: Data from the World Health Survey (WHS) was used to analyze 177,035 adults from 38 (mostly low and middle income) countries. The International Physical Activity Questionnaire-Short Form (IPAQ-S) was used to measure PA. Respondents were classified as active or inactive for vigorous PA, moderate PA and walking. Multilevel logistic regression was performed to assess associations between macro-level environmental factors and the prevalence of PA, with control for individual-level socioeconomic factors. RESULTS: The prevalence of PA varied widely between countries and types of PA (5.0%-93.8%). A negative association was found between gross domestic product and PA, odds ratios for men were 0.76 (95% CI: 0.65-0.89) for moderate PA and 0.79 (95% CI: 0.63-0.98) for walking. A higher temperature was associated with less PA (all types) and higher urbanization was associated with less vigorous and moderate PA. More gender equality was also associated with more walking for women. Governmental functioning and literacy rate were not found to be associated with any type of PA. CONCLUSIONS: This exploratory study indicates that factors such as climate, economic development and cultural factors are determinants of the level of overall PA at national levels. This underlines the suggestion that the macro-environment should be regarded as an important influence on PA.

Assessing where vulnerable groups fare worst: a global multilevel analysis on the impact of welfare regimes on disability across different socioeconomic groups.

BACKGROUND: Investigations on health differences within welfare states between low- and high-socioeconomic groups are mainly conducted in Europe. With the aim of gaining global insight on the extent welfare regimes influence personal disability for the most vulnerable, we explore how these health differences vary between low- and high-socioeconomic groups. METHODS: The World Health Survey data were analysed on 199595 adults from 46 countries using the welfare regime classification developed by Wood and Gough. Multilevel logistic regression was used to estimate welfare regime differences in self-reported disability according to individual educational attainment and employment status. RESULTS: As compared with the low educated in the European-conservative regime, the odds of having a higher prevalence of disability was found among low-educated people residing in the informal-security regime of South Asia, with OR being 3.16 (95% CI 2.23 to 4.47). While state-organised regimes seemed to offer more protection against disability to the low educated, the productivist regime of East Asia trailed closely behind, with OR being 1.10 (95% CI 0.76 to 1.60) for the low educated. Similar findings were also observed in the unemployed. CONCLUSIONS: State-organised regimes of Europe and the productivist regime of East Asia seem to contain protecting features against disability for all citizens and especially for the most vulnerable. Apart from the productivist regime of East Asia, the low educated and the unemployed seem to carry the greatest health burden within more insecure regimes, highlighting a deficiency in social provisions within these regimes aimed at protecting the most vulnerable.

Variations between world regions in individual health: a multilevel analysis of the role of socio-economic factors.

BACKGROUND: Living in a particular region might affect health. We aimed to assess variations between regions in individual health. The role of socio-economic factors in the associations was also investigated. METHODS: World Health Survey data were analysed on 220 487 individuals. Main outcomes included self-reported health, health complaints and disability. The main predictor variable was a modified regional classification of countries. Multilevel logistic regression was used to assess associations between individual health and regions, while accounting for individual and country-level socio-economic factors, notably occupation, education, national income and female literacy. RESULTS: Individual health varied significantly between regions. For instance, compared with Western Europeans, Southern Asians and Western Africans reported poorer health, the odds ratios (ORs) being 2.05 [95% confidence interval (CI) 1.31-3.23] and 1.88 (95% CI 1.26-2.81), respectively. Accounting for socio-economic factors attenuated or, in a few cases, reversed the associations. For example, the OR for Southern Asia and Western Africa respectively became 0.94 (95% CI 0.37-2.37) and 0.77 (95% CI 0.26-2.25). Individuals from Central Europe and the Former Soviet Union were the most likely to report poor health, OR 1.92 (95% CI 1.07-3.44) and OR 4.17 (95% CI 1.91-9.10) respectively. Overall, men were less likely than women to report poor health. CONCLUSION: Substantial regional variations in individual health exist, only partly explained by socio-economic factors. Additional policy and health research are needed to investigate Central Europe and Former Soviet Union rates that consistently lag behind Latin America, Asia and Africa.