10 research outputs found

    Reconsidering the Relationship Between Integration and Radicalization

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    Research literature suggests a number of possible causes leading to radicalization of young Muslims living in Western countries, including poverty, social marginalization, weak or threatened identities, lack of connection to native culture, etc..  Regardless of the diversity of causes, academic literature as well as governmental strategies have shown a consistent interest in the basic formula that a lack of cultural integration equals an increased threat of radicalization. The lacking evidence for the simple correlation, however, has become increasingly difficult to ignore.  Based on a review of existing ideas and evidence concerning the relationship between integration and radicalization, this paper concludes that the presumed relationship needs to be reconsidered, because it is not supported by evidence, and because it can lead to ineffective or potentially harmful interventions

    Is cultural logic an appropriate concept? A semiotic perspective on the study of culture and logic

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    It is argued that (a) the question of ‘cultural logic’ is a valid inquiry for disciplines seeking to comprehend and compare mental processes across cultures, and (b) semiotics, as the science of studying signs and signification, is an appropriate means of approaching the question of cultural logic. It is suggested that a shift needs to be made in studying reasoning across cultures from the traditional value-oriented methods of judgment to a meaningoriented assessment. Traditional methods of cross-cultural comparison are suggested to be flawed in their attempt to develop a psychological account of why different cultural societies can draw different conclusions from ‘similar’ data, because they typically do not take into account the culturally-specific processes of ‘meaning’ and semiosis. These processes, it is argued, cause input data to develop differentially from one semiotic context to another. In other words, before reaching the cognitive processing level data is already shaped by the semiotic context, thus what is processed cognitively by two individuals in two cultural/semiotic contexts is no longer ‘the same.’ A semiotically conceived notion of cultural logic is therefore a crucial factor in any cross-cultural study of cognitive and psychological systems

    Psychosocial correlates of collective self-esteem : a comparative study

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    Following earlier research on social and psychological effects and significance of collective self-esteem (CSE) in intergroup relations, a comparative cross cultural study was conducted to examine and compare the correlates of CSE, personal self-esteem (PSE) and personal experience of racism (PER) in Quebecois and Cambodian groups of adolescents and their parents. It was hypothesised that the effects and distribution of CSE, PSE and PER would be different across cultures and, within cultural groups, across generations, due to the differential meanings and social implications of these constructs in each group. Owngroup interviewers interviewed 208 subjects in French and Khmer languages. The study sample consisted of 114 Cambodian and 94 Quebecois participants. Each of these two groups was composed of two equal sub-groups of adolescents and their parents. Global results replicated earlier findings. Closer observation, however, revealed asymmetric patterns across the two ethnic groups. Results are discussed as evidence for the following hypotheses: (1) The magnitude of scores achieved on collective self-esteem varies across cultures; (2) The relationship between CSE and PSE is stronger for the Cambodian population; (3) The relationship between CSE and PER varies as a function of group membership (across cultures/generations); and (4) CSE has a positive correlation with mental health. Theoretical implications of the findings are further discussed in terms of the applicability of the construct CSE, a possible distinction between 'true' and 'defensive' high collective self-esteem scores on self-report scales, and the importance of collective self-esteem in intergroup interactions

    Global Burden of Cardiovascular Diseases and Risks, 1990-2022

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    Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

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    BackgroundRegular, detailed reporting on population health by underlying cause of death is fundamental for public health decision making. Cause-specific estimates of mortality and the subsequent effects on life expectancy worldwide are valuable metrics to gauge progress in reducing mortality rates. These estimates are particularly important following large-scale mortality spikes, such as the COVID-19 pandemic. When systematically analysed, mortality rates and life expectancy allow comparisons of the consequences of causes of death globally and over time, providing a nuanced understanding of the effect of these causes on global populations.MethodsThe Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 cause-of-death analysis estimated mortality and years of life lost (YLLs) from 288 causes of death by age-sex-location-year in 204 countries and territories and 811 subnational locations for each year from 1990 until 2021. The analysis used 56 604 data sources, including data from vital registration and verbal autopsy as well as surveys, censuses, surveillance systems, and cancer registries, among others. As with previous GBD rounds, cause-specific death rates for most causes were estimated using the Cause of Death Ensemble model—a modelling tool developed for GBD to assess the out-of-sample predictive validity of different statistical models and covariate permutations and combine those results to produce cause-specific mortality estimates—with alternative strategies adapted to model causes with insufficient data, substantial changes in reporting over the study period, or unusual epidemiology. YLLs were computed as the product of the number of deaths for each cause-age-sex-location-year and the standard life expectancy at each age. As part of the modelling process, uncertainty intervals (UIs) were generated using the 2·5th and 97·5th percentiles from a 1000-draw distribution for each metric. We decomposed life expectancy by cause of death, location, and year to show cause-specific effects on life expectancy from 1990 to 2021. We also used the coefficient of variation and the fraction of population affected by 90% of deaths to highlight concentrations of mortality. Findings are reported in counts and age-standardised rates. Methodological improvements for cause-of-death estimates in GBD 2021 include the expansion of under-5-years age group to include four new age groups, enhanced methods to account for stochastic variation of sparse data, and the inclusion of COVID-19 and other pandemic-related mortality—which includes excess mortality associated with the pandemic, excluding COVID-19, lower respiratory infections, measles, malaria, and pertussis. For this analysis, 199 new country-years of vital registration cause-of-death data, 5 country-years of surveillance data, 21 country-years of verbal autopsy data, and 94 country-years of other data types were added to those used in previous GBD rounds.FindingsThe leading causes of age-standardised deaths globally were the same in 2019 as they were in 1990; in descending order, these were, ischaemic heart disease, stroke, chronic obstructive pulmonary disease, and lower respiratory infections. In 2021, however, COVID-19 replaced stroke as the second-leading age-standardised cause of death, with 94·0 deaths (95% UI 89·2–100·0) per 100 000 population. The COVID-19 pandemic shifted the rankings of the leading five causes, lowering stroke to the third-leading and chronic obstructive pulmonary disease to the fourth-leading position. In 2021, the highest age-standardised death rates from COVID-19 occurred in sub-Saharan Africa (271·0 deaths [250·1–290·7] per 100 000 population) and Latin America and the Caribbean (195·4 deaths [182·1–211·4] per 100 000 population). The lowest age-standardised death rates from COVID-19 were in the high-income super-region (48·1 deaths [47·4–48·8] per 100 000 population) and southeast Asia, east Asia, and Oceania (23·2 deaths [16·3–37·2] per 100 000 population). Globally, life expectancy steadily improved between 1990 and 2019 for 18 of the 22 investigated causes. Decomposition of global and regional life expectancy showed the positive effect that reductions in deaths from enteric infections, lower respiratory infections, stroke, and neonatal deaths, among others have contributed to improved survival over the study period. However, a net reduction of 1·6 years occurred in global life expectancy between 2019 and 2021, primarily due to increased death rates from COVID-19 and other pandemic-related mortality. Life expectancy was highly variable between super-regions over the study period, with southeast Asia, east Asia, and Oceania gaining 8·3 years (6·7–9·9) overall, while having the smallest reduction in life expectancy due to COVID-19 (0·4 years). The largest reduction in life expectancy due to COVID-19 occurred in Latin America and the Caribbean (3·6 years). Additionally, 53 of the 288 causes of death were highly concentrated in locations with less than 50% of the global population as of 2021, and these causes of death became progressively more concentrated since 1990, when only 44 causes showed this pattern. The concentration phenomenon is discussed heuristically with respect to enteric and lower respiratory infections, malaria, HIV/AIDS, neonatal disorders, tuberculosis, and measles.InterpretationLong-standing gains in life expectancy and reductions in many of the leading causes of death have been disrupted by the COVID-19 pandemic, the adverse effects of which were spread unevenly among populations. Despite the pandemic, there has been continued progress in combatting several notable causes of death, leading to improved global life expectancy over the study period. Each of the seven GBD super-regions showed an overall improvement from 1990 and 2021, obscuring the negative effect in the years of the pandemic. Additionally, our findings regarding regional variation in causes of death driving increases in life expectancy hold clear policy utility. Analyses of shifting mortality trends reveal that several causes, once widespread globally, are now increasingly concentrated geographically. These changes in mortality concentration, alongside further investigation of changing risks, interventions, and relevant policy, present an important opportunity to deepen our understanding of mortality-reduction strategies. Examining patterns in mortality concentration might reveal areas where successful public health interventions have been implemented. Translating these successes to locations where certain causes of death remain entrenched can inform policies that work to improve life expectancy for people everywhere
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