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53,611 result(s) for "educational differences"
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Childlessness in Korea
In Korea, where marriage and childbirth are inextricably linked, the number of childless women is rising. Aside from the increase in permanent unmarried women, the prevalence of late marriage limits a woman's reproductive period, raises the risk of infertility, and can lead to childlessness. As Korea experienced the universalisation of higher education, the prolongation of education may have affected the timing of marriage. Examining women's marital status, age at first marriage, and educational background, this research explores how increasing age at marriage and extending educational periods are related and how they affect childlessness. Based on 2005 and 2020 Korean census data, this study examines unmarried and married women aged 40. Descriptive statistics describe the trend of childlessness, and the effects of marital status, age at marriage, and educational background on childlessness are analysed by the decomposition technique. The number of Korean women who postpone and forgo marriage and childbirth is rising across all educational levels. Women with lower education marry earlier but are more likely to remain childless. Among recent birth cohorts, women tend to stay childless/child-free longer after marriage, regardless of education. More of them ultimately remain childless. An increase in permanently unmarried women, delayed childbirth after marriage, and marital childlessness has resulted in a significant rise in childlessness regardless of the education of women.
Boys and girls learn differently! : a guide for teachers and parents
\"A thoroughly revised edition of the classic resource for understanding gender differences in the classroom. In this profoundly significant book, author Michael Gurian has revised and updated his groundbreaking book that clearly demonstrated how the distinction in hard-wiring and socialized gender differences affects how boys and girls learn. Gurian presents a proven method to educate our children based on brain science, neurological development, and chemical and hormonal disparities. The innovations presented in this book were applied in the classroom and proven successful, with dramatic improvements in test scores, during a two-year study that Gurian and his colleagues conducted in six Missouri school districts. Explores the inherent differences between the developmental neuroscience of boys and girls. Reveals how the brain learns. Explains when same sex classrooms are appropriate, and when they're not. This edition includes new information on a wealth of topics including how to design the ultimate classroom for kids in elementary, secondary, middle, and high school.\"--Provided by publisher.
Mediators of educational differences in dementia risk later in life: evidence from the HUNT study
Despite a well-known inverse association between education and dementia risk, the mediating mechanisms are not well understood. We explored how lifestyle and health risk factors across the life-course mediate the relationship between education and dementia among adults aged 70 + years. We included 7,655 participants with dementia diagnoses and education information, using a historical cohort design linking prospective exposure data across the life course from the HUNT4 70 + Study with registry data from Statistics Norway and earlier HUNT surveys. We conducted causal mediation analysis to assess the mediating roles of occupational characteristics, lifestyle factors (smoking, physical inactivity), and health risk factors (obesity, hypertension, diabetes, hearing impairment, cardiovascular diseases, LDL cholesterol, depression, anxiety) assessed during early, middle, and late adulthood in the relationship between education and dementia in later life. Participants with lower education were more likely to have dementia with odds ratios of 1.99, 1.88, 1.83 for the model’s accounting exposure to mediators during early, middle, and late adulthood, respectively. These associations were partially mediated by the joint effect of health and lifestyle risk factors from early through late adulthood (mediated 11.55–19.50%). Health risk factors from early to late adulthood jointly mediated 6.85–13.06% of the effect of low education on dementia risk later in life. Additionally, lifestyle factors during middle and late adulthood jointly mediated 4.11–4.96% of the total effect of low education on dementia risk later in life. Educational differences in dementia risk can partly mediated by lifestyle and health factors across the life course. These findings suggest potential targets to address varying dementia risks linked to education levels.
Gender, identity, and educational leadership
\"Gender, Identity and Educational Leadership explores how head teachers' social identities - particularly pertaining to gender, social class and ethnicity - influence their leadership of diverse populations of pupils and staff. Informed by new research conducted throughout the first decade of the 21st century and advances in gender theories, the book draws attention to how head teachers' views of their diverse school populations influence school leadership. Connections are made between head teachers' social identities; their personal and professional histories; and their perceptions of diversity amongst the children, young people, staff and the wider communities they serve\"-- Provided by publisher.
Time trends in smoking in Russia in the light of recent tobacco control measures: synthesis of evidence from multiple sources
Background The study aims at identifying long-term trends and patterns of current smoking by age, gender, and education in Russia, including the most recent period from 2008 during which tobacco control policies were implemented, and to estimate the impact on mortality of any reductions in prevalence. We present an in-depth analysis based on an unprecedentedly large array of survey data. Methods We examined pooled micro-data on smoking from 17 rounds of the Russian Longitudinal Monitoring Study of 1996–2016, 11 other surveys conducted in Russia in 1975–2017, and two comparator surveys from England and the USA. Standardization by age and education, regression and meta-analysis were used to estimate trends in the prevalence of current smoking by gender, age, and educational patterns. Results From the mid-1970s to the mid-2000s smoking prevalence among men was relatively stable at around 60%, after which time prevalence declined in every age and educational group. Among women, trends in smoking were more heterogeneous. Prevalence more than doubled above the age of 55 years from very low levels (< 5%). At younger ages, there were steep increases until the mid-2000s after which prevalence has declined. Trends differed by educational level, with women in the lowest educational category accounting for most of the long-term increase. We estimate that the decline in male smoking may have contributed 6.2% of the observed reduction in cardiovascular deaths among men in the period 2008–16. Conclusions The implementation of an effective tobacco control strategy in Russia starting in 2008 coincided with a decline in smoking prevalence among men from what had been stable, high levels over many decades regardless of age and education. Among women, the declines have been more uneven, with young women showing recent downturns, while the smoking prevalence in middle age has increased, particularly among those with minimal education. Among men, these positive changes will have made a small contribution to the reduction in mortality seen in Russia since 2005.
The role of working conditions in educational differences in all-cause and ischemic heart disease mortality among Swedish men
OBJECTIVES: This study aims to investigate the extent to which low job control and heavy physical workload in middle age explain educational differences in all-cause and ischemic heart disease (IHD) mortality while accounting for important confounding factors. METHODS: The study is based on a register-linked cohort of men who were conscripted into the Swedish military at around the age of 18 in 1969/1970 and were alive and registered in Sweden in 2005 (N=46 565). Cox proportional hazards regression models were built to estimate educational differences in all-cause and IHD mortality and the extent to which this was explained by physical workload and job control around age 55 by calculating the reduction in hazard ratio (HR) after adjustments. Indicators of health, health behavior, and other factors measured during conscription were accounted for. RESULTS: We found a clear educational gradient for all-cause and IHD mortality (HR 2.07 and 2.47, respectively, for the lowest compared to the highest education level). A substantial part was explained by the differential distribution of the confounding factors. However, work-related factors, especially high physical workload, also played important explanatory roles. CONCLUSION: Even after accounting for earlier life factors, low job control and especially high physical workload seem to be important mechanistic factors in explaining educational inequalities in all-cause and IHD mortality. It is therefore important to find ways to reduce physical workload and increase job control in order to decrease inequalities in mortality.
Gender and educational differences in work participation and working years lost in Norway
OBJECTIVES: This study aimed to quantify the duration of work participation and reasons for working years lost, according to gender and educational attainment, among a Norwegian population. METHODS: Register data on labor market attachment between 2000–2015 were obtained from Statistics Norway. We included five cohorts: individuals turning 20 (N=323 333), 30 (N=386 006), 40 (N=388 962), 50 (N=358 745), and 60 years (N=284 425) between 1 January 2000 and 31 December 2005. Individuals were followed for ten years. Data completeness allowed calculation of the average time spent in work and years lost to health-related absences and non-employment states per cohort. Changes in state probabilities over time were also depicted. Mean differences between genders and educational levels, and corresponding 95% confidence intervals were based on 1000 bootstrap samples. RESULTS: Both genders spent most time in work; however, per cohort, women worked approximately one year less than men. As cohorts aged, main reasons for working years lost changed from education and economic inactivity to sickness absence and disability pensioning; this trend was stronger for women than men. Individuals with a low education spent fewer years in work and more years in sickness absence and disability pensioning than highly educated peers. This difference tended to be larger for women and older cohorts. CONCLUSIONS: Per cohort, women participated one year less in work than men and, depending on age, spent more time in education, economic inactivity, sickness absence, and disability pensioning. Stronger educational gradients were seen for work and health-related absences for older cohorts and women.