National Strategy Research Articles

Principals’ leadership skills to meet the national strategy for education in basic schools

The objective of this study is to investigate the principals' leadership skills in elementary schools to meet the national educational strategy outcomes based on the teachers' views. A quantitative- descriptive approach was applied. The questionnaire was used to collect data. The validity of the questionnaire was measured and the reliability results using Cronbach alpha were 0.948 for educational leadership skills and 0.859 for educational outcomes. The questionnaire was distributed in both male and female schools. A random sample of 385 teachers was included. The collected data were analyzed using descriptive statistics and structural equation modeling to measure the effects of different variables. The findings indicated that the teachers in the sample had five to fifteen years of experience. The teachers showed principals in the elementary schools have moderate educational leadership (3.39). The results showed that the highest trait that existed among the principals was crisis management with a high-weight regression coefficient (0.693), visionary leadership (0.653) and ethical leadership (0.601). The effect of adaptability, communication skills and strategic planning was less. The least common traits among the principals of elementary schools were emotional intelligence and decision-making skills. The research suggested establishing a programme for elementary school principals to develop their leadership skills in order to support the achievement of national educational objectives.

Addressing the challenges of dementia care in Nigeria: A call for a comprehensive national strategy

AbstractDespite the growing prevalence of dementia, driven by an ageing population and compounded by cultural misunderstandings and stigma, Nigeria lacks a coherent national plan to address this issue. The article points out that although Nigeria has enacted policies such as the National Aging Policy, which do not sufficiently address the specific needs of people living with dementia. It underscores the necessity of integrating a dementia strategy within the broader health and social care systems of Nigeria. The article draws on the World Health Organization's Global Dementia Action Plan to elaborates on several critical areas for action, including public health prioritization of dementia, awareness and stigma reduction, improved diagnosis, treatment, care, and support, alongside bolstering support for caregivers. It stresses the importance of a dementia‐friendly infrastructure, research and innovation, and leveraging community support to foster a more inclusive society. Furthermore, the article outlines current state of healthcare and social support systems in Nigeria, pointing to significant gaps in infrastructure, healthcare workforce, and financial mechanisms that hinder effective dementia care. Hence, elevating dementia care as a national health priority, and increasing access to quality care and support, Nigeria is well positioned to mitigate the impact of dementia on families and the person with dementia. The call to action is clear: a national dementia strategy, informed by global best practices and tailored to Nigeria's unique cultural and societal context, is essential for addressing the challenges of dementia care and improving the well‐being of affected individuals and their families in Nigeria.

The effect of forest-environment construction on the physical activity among Chinese adults

The Chinese government attaches great importance to the construction of the National Forest City (NFC), aiming at creating a pleasant living environment beneficial for people’s health and well-being. This study aimed to estimate the effect of the NFC policy on the frequency of physical activity (PA) for people in mainland China. Using the nationally representative data from the China Family Panel Studies in 2010 and its follow-up in 2018, 17 704 participants aged 18 and older were analyzed in our study. We employed the two-way fixed estimator in the difference in difference setting to analyze the PA of the adults in the cohort with different development levels of the forest-environment construction measured by the number of NFCs, and explore the relative differences before and after the construction of NFC. Subgroup analysis of age group, gender and living areas and a series of robustness tests were further conducted. The mean age of 17 704 participants in 2010 was (45.03 ± 13.67) years old, 51.74% of which were female and 48.26% were male. DID results showed that after the construction of NFC, the frequency of PA increased by 1.35 (β = 1.35, 95% CI:0.73–1.98) per week compared to those in provinces without NFC after adjusting covariates. And the improving effect of the forest-environment construction on PA frequency was intensified in middle-aged and older adults aged 45 and above (β = 2.03, 95% CI:1.09–2.96), males (β = 1.26, 95% CI:0.39–2.12) and females (β = 1.49, 95% CI:0.58–2.40) and those living in urban areas (β = 1.29, 95% CI:0.57–2.00). Our findings showed that the forest-environment construction under the NFC strategy has a positive role in the PA of older adults, indicating the health-promoting effects of the national green low-carbon environmental strategy. Considering the heterogeneity, it is essential to promote the benefits of green exercise for young and rural adults.

Climate Change Effect in Nigeria Mitigation, Adaptation, Strategies and Way Forward in the World of Internet of Things

This paper delves into the comprehensive impact of climate change in Nigeria, emphasising the critical role of Internet of Things (IoT) technology in formulating mitigation and adaptation strategies. It highlights the significant threats climate change poses to Nigeria's ecological balance, economy, and societal structure, including altered temperature patterns, more frequent extreme weather events, and ramifications for agriculture, water supply, and health. It underscores the urgency for effective responses to protect the nation's welfare and economic integrity. The study showcases the potential of IoT technology as a pivotal tool in crafting innovative responses to climate change challenges. It demonstrates how IoT can bolster Nigeria's resilience through enhanced agricultural methods, better management of water resources, and more efficient energy utilisation. IoT devices' real-time data gathering and analytical prowess facilitate precise environmental monitoring, timely disaster warnings, and resource optimisation. The discussion extends to mitigation tactics like shifting towards renewable energy, improving energy efficiency, and sustainable land use, alongside adaptation strategies that include building climate- resilient structures, advocating for water conservation, and applying climate-smart agricultural practices to safeguard food security. Advocating for a cooperative strategy that integrates efforts from the government, private sector, academia, and communities, the paper stresses the importance of incorporating IoT solutions into national climate action and development strategies for a unified and robust approach to climate-related challenges. It concludes with a roadmap for the future, proposing policy reforms, investments in IoT infrastructure, skill development, and heightened public awareness as essential moves towards a sustainable, climate-resilient Nigeria. By strategically deploying IoT technologies, Nigeria can mitigate the detrimental impacts of climate change and tap into new avenues for economic and environmental prosperity.

Formation of a Digital Economy Model in the Kyrgyz Republic

The article discusses the issues of the digital economy model of the Kyrgyz Republic, based on the economic and legal framework of information relations aimed at the development of digital processes. National legislation must have legal mechanisms capable of regulating information relations in the field of digital transformation of the economy. The construction of a modern digital infrastructure should contribute to the development of the country’s digital economy and provide communication with global information data, which will contribute to digital transformation at the level of modern developed infrastructure. The experience of creating and directing the digital transformation of the economy of the Kyrgyz Republic was studied, based on the development and adoption of national programs and strategies that should be aimed at developing an index for measuring the digital economy, including displaying indicators and tools for assessing the digital development of the Kyrgyz Republic. It has been determined that the digital economy should be built on a developed information infrastructure with a mandatory process of modernization of all sectors of the economy. Proposals were made to further improve the direction of development of the digital economy in the near future.

Analysis of health related event detection in big data for physical education training movement detection.

Physical education and training are essential ways to improve the physical quality of the nation, and China has incorporated "building a healthy China" and "fitness for all" into its national development strategy, integrating a strong sports nation into the Chinese dream. The study of digital recording and automated training in sports is of profound value. Motion capture technology can digitally record the training process in a digital physical education training system. At the same time, accurate modeling and calculation can analyze the training effects and give appropriate guidance and feedback. This study develops a new and improved hierarchical K-means algorithm by combining the known classification algorithm K-means with a hierarchical algorithm. The performance of the old and new algorithms are compared and then applied to physical education training data to produce clustering results and analysis to reduce the model, which is used to reduce the number of parameters in the model and improve the recognition speed. The experimental results demonstrate that the relevant models proposed in this study achieve an average accuracy of 91.27% and 92.26%, respectively, which is better than a single network model and can effectively use big data for health event detection. The empirical results show that the improved model algorithm outperforms the single network model and can detect health events using big data.

Characteristics and outcomes of people in suicidal crisis at two emergency departments: a service evaluation.

Emergency departments (EDs) provide critical opportunities for nurses to support suicide prevention. This article details a service evaluation that was undertaken to explore the characteristics and outcomes of people in suicidal crisis at two EDs in the East of England during June 2023. Data routinely collected by the ED mental health liaison team were combined with a retrospective case note review of the local NHS mental health trust's electronic patient records. Attendees had a mean age of 35 years and seven months, and were often diagnosed with depression or emotionally unstable personality disorder. Most had a history of self-harm and were currently known to mental health services. Suicide-specific interventions were rarely recorded by nurses and relapse behaviours were prevalent after presentation. Local and national suicide prevention strategies should encourage nurses to address gaps in support, thereby improving patients' experiences in and beyond the ED.

Identification of Key Areas for Ecological Conservation and Restoration based on Multi-source Data and Remote Sensing Time Series Analysis

Abstract. Ecological conservation and restoration of national land space is an important aspect for implementing the national ecological civilization strategy, and an important measure for establishing the national ecological security pattern and coordinating the systematic management of mountains, water, forests, fields, lakes, grass and sand. The identification of key areas for ecological conservation and restoration is a precondition to spatially and temporally laying out ecological conservation and restoration planning, which is crucial for the ecological conservation and restoration of national land space. Therefore, this paper considers Henan Province as the study area and carries the research and practice of identifying key areas for ecological conservation and restoration by integrating multi-source data and remote sensing time series analysis. Firstly, based on the Google Earth Engine (GEE) cloud platform and MOD13A1 data, the Mann-Kendall method is used to analyze the trend of time series NDVI in the study area from 2011 to 2020. Secondly, based on multi-source data such as meteorological, soil, topographic, net primary production (NPP), etc., an ecosystem health analysis and assessment based on ecosystem service trade-off and synergy is used to select ecological source. Finally, based on the results of time series NDVI analysis and ecological source selection, fusion analysis is used to identify key areas for ecological conservation and restoration. The results show that this proposed research framework not only considers the “static” ecosystem services and ecosystem health attributes, but also measures the “dynamic” ecosystem change trends. It can effectively identify key areas for ecological conservation and restoration in national space. The results of the study can provide technical support for the background survey, problem identification, planning and engineering layout of ecological conservation and restoration in the national land space.

Positive or Negative: The Heterogeneities in the Effects of Urban Regeneration on Surrounding Economic Vitality—From the Perspective of Housing Price

Urban regeneration is a sound, sustainable urban development strategy globally. In China, promoting urban regeneration has become the national sustainable urban strategy. Under the resource constraint, it is necessary to understand what benefits different types of urban regeneration projects can contribute to urban development. Much research has contributed to evaluating the benefits of urban regeneration on the project scale. The systematic investigation of their effects on surrounding economic vitality, especially the comparison between different types of projects, is relatively downplayed. This paper aims to evaluate and compare the effects of urban regeneration projects on surrounding economic vitality by calculating the change in housing prices. Chongqing is selected as the case city. Based on the housing transaction data from 2015 to 2021, a staggered difference-in-difference method is employed to capture the results. The finding shows that the overall effects are significantly negative, especially within a 400–800 m radius. Higher investment or better project location relates to stronger negative effects. Moreover, the differences in effects among the three types of urban regeneration projects are clearly revealed from diverse perspectives. It provides a valuable reference for policymakers and urban planners to make urban regeneration planning better by considering comprehensive benefits.

Damping accumulative NDAGM(1,N, α) power model and its applications

PurposeIn this essay, a new NDAGM(1,N,α) power model is recommended to resolve the hassle of the distinction between old and new information, and the complicated nonlinear traits between sequences in real behavior systems.Design/methodology/approachFirstly, the correlation aspect sequence is screened via a grey integrated correlation degree, and the damped cumulative generating operator and power index are introduced to define the new model. Then the non-structural parameters are optimized through the genetic algorithm. Finally, the pattern is utilized for the prediction of China’s natural gas consumption, and in contrast with other models.FindingsBy altering the unknown parameters of the model, theoretical deduction has been carried out on the newly constructed model. It has been discovered that the new model can be interchanged with the traditional grey model, indicating that the model proposed in this article possesses strong compatibility. In the case study, the NDAGM(1,N,α) power model demonstrates superior integrated performance compared to the benchmark models, which indirectly reflects the model’s heightened sensitivity to disparities between new and old information, as well as its ability to handle complex linear issues.Practical implicationsThis paper provides a scientifically valid forecast model for predicting natural gas consumption. The forecast results can offer a theoretical foundation for the formulation of national strategies and related policies regarding natural gas import and export.Originality/valueThe primary contribution of this article is the proposition of a grey multivariate prediction model, which accommodates both new and historical information and is applicable to complex nonlinear scenarios. In addition, the predictive performance of the model has been enhanced by employing a genetic algorithm to search for the optimal power exponent.

IMPACT OF SHADING DEVICES ON COOLING LOAD IN EDUCATIONAL BUILDINGS

ABSTRACT This paper examines the influence of shading devices in non-residential buildings on enhancing cooling loads, mitigating environmental impact, and reducing energy consumption in semi-arid climates. The focus is on educational buildings as part of Algeria's national strategy to enhance sustainability and decrease energy usage. To achieve this, a comparative analysis was conducted, encompassing both numerical and experimental assessments of the effects of four indoor shading techniques and three outdoor shading techniques. Subsequently, the impact of the optimal shading combination on four main orientations was evaluated using dynamic building simulation software. The outcomes demonstrate that the optimal combination of shading devices substantially affects cooling loads, leading to noteworthy energy savings and a reduction in CO2 emissions. Notably, these savings can reach up to 7% in cooling load reduction and up to 32% in energy and CO2 emission reductions. Furthermore, the study concludes that distinct design considerations should be tailored to climate attributes and building orientations to achieve maximal cooling load reductions. This research enriches the existing knowledge concerning the optimization of shading devices for educational buildings with a focus on cooling load reduction. The findings emphasize the necessity for architects, builders, and proprietors to incorporate passive design alternatives that align optimally with energy efficiency, cost-effectiveness, and overall building sustainability.

Evaluating the Sustainable Development Performance of China’s International Commercial Ports Based on Environmental, Social and Governance Elements

An environmental, social and governance (ESG) evaluation system can focus on the value of enterprises more comprehensively and better scrutinize the development premise of enterprise. As a novel investment concept, both domestic and foreign investors widely acknowledge the significance of ESG. With the implementation of “carbon peak”, “carbon neutral” and other national strategies, an increasing number of transportation enterprises in China’s international commercial ports have started to focus on the role of ESG evaluation. This not only facilitates self-examination and correction within enterprises but also helps in adjusting the strategic direction toward sustainable development. This shift toward ESG evaluation is crucial for promoting environmental sustainability and corporate social responsibility within the transportation industry. In this regard, this study aims to evaluate the sustainable development performance of China’s international commercial ports based on ESG elements. A data envelopment analysis (DEA) is considered to be a non-parametric performance evaluation method that can effectively solve for multi-criteria decision-making units, so this study mainly selects the DEA model for the performance evaluation. This study conducted research to select eight benchmarking companies within the industry and found that efficient units excelled in their ability to complete capacity levels with high quality and quantity at ports. In contrast, less efficient units scored lower in the domain of social responsibility.

Greening the BRICS: How Green Innovation Mitigates Ecological Footprints in Energy-Hungry Economies

The escalating energy consumption seen in the BRICS countries, namely Brazil, Russia, India, China, and South Africa, presents a substantial environmental problem, resulting in the depletion of resources, amplified carbon emissions, and endangering the well-being of ecological systems. The study examines the potential of green innovation to alleviate these adverse effects. By combining green technology with strong institutions and responsible energy consumption, we argue that the BRICS nations can significantly reduce their ecological footprint. This research, encompassing data from 1995 to 2022, employs Driscoll–Kraay and panel quantile regression to analyze the complex interplay of institutional quality, energy consumption, green innovation, and ecological footprints across the BRICS countries. Our findings reveal that green innovation is crucial in mitigating the ecological footprint, particularly when combined with resilient institutional quality and controlled energy use. Conversely, factors like high energy consumption, natural resource rent, and urbanization contribute to an increased ecological footprint. Notably, the study emphasizes the critical role of both institutional quality and renewable energy consumption in effectively reducing the ecological burden within the BRICS nations. These findings suggest that prioritizing investments in green technology and institutional development, even amidst high energy demands, represents a viable strategy for the BRICS nations to achieve sustainable growth and environmental responsibility.

Spatio-Temporal Changes of Arable Land and Their Impacts on Grain Output in the Yangtze River Economic Belt from 1980 to 2020

The “Yangtze River Economic Belt Development Strategy” is one of China’s three major national development strategies. Enhancing the protection and quality of arable land in the Yangtze River Economic Belt (YEB) is pivotal for fostering regional growth. In this study, land use data spanning the years 1980 to 2020 in the YEB were extracted from the national land use database maintained by the Resource and Environment Data Center of the Chinese Academy of Sciences. Employing Geographic Information System (GIS) spatial analysis techniques and arable land change metrics, the study delineated the spatiotemporal characteristics of arable land alterations across the YEB for the period. Additionally, using grain output data at the prefecture level from 2011 to 2020, the paper calculated provincial grain output to analyze the impact of arable land changes over the last four decades on grain output. The findings revealed that: (1) From 1980 to 2020, the total arable land area in the YEB decreased by approximately 41,775 square kilometers, with the most significant decrease occurring in the downstream region. (2) From 1980 to 1990, the primary factor contributing to the decrease in arable land area was the expansion of water bodies, while from 1990 to 2020, the principal reason for the reduction in arable land area was the expansion of construction land. (3) From 1980 to 2020, the decrease in arable land area resulted in a net reduction of approximately 25.12 million tons in total grain output, with the largest decline observed in the downstream regions and the smallest decline in the upstream regions. (4) Consistent with the trends in arable land area reduction, the main reason for the decline in grain output from 1980 to 1990 was the expansion of water bodies encroaching upon arable land, whereas from 2000 to 2010, the primary cause of arable land reduction was the expansion of construction land areas. In conclusion, the research suggested that over the past four decades, the primary driver behind the reduction in arable land within the YEB has been the expansion of construction land areas. Particularly noteworthy was the period from 2000 to 2010, during which the impact of arable land reduction on grain output was most pronounced. This period coincided with the rapid economic development and accelerated urbanization process within the YEB.

Genetic Diversity and Population Structure among Arabian Horse Genealogical Lineages in Bulgaria

The present research aimed to characterize the genetic diversity and relationships among extant Arabian horse sire lines in Bulgaria, using 15 equine microsatellite markers. The evaluation included 537 Arabian horses representing nine sire lines (SAKLAWI I, LATIF, SEANDERICH, IBRAHIM, SHABAB, DJEBEL MOUSA, KUHAILAN AFAS, BAIRACTAR, and SARHAN). The obtained results indicated that within these lines, the mean number of alleles ranged from 4.15 in SARHAN to 5.54 in SAKLAWI I and LATIF. The mean expected heterozygosity (He) ranged from 0.54 in the SEANDERICH line to 0.67 in SAKLAWI I. The inbreeding coefficient for the entire Arabian populations was rather low: FIS = −0.109, fluctuating from −0.204 in SHABAB to −0.041 in SAKLAWI I. The mean genetic differentiation, FST, was 0.096, demonstrating that nearly 90% of the total genetic variation was due to genetic differentiation within each population. STRUCTURE analysis indicated a genetic similarity between SHABAB and LATIF, between IBRAHIM and KUHAILAN AFAS, as well as between SAKLAWI I, SEANDERICH, and BAIRACTAR. This study of the genetic diversity of Arabian sire lines in Bulgaria can assist in developing a national strategy for the exclusion of non-purebred animals from breeding programs in order to preserve the genetic profile of the original Arabian lines.

Self-presentation of grey-haired influencers on TikTok: active ageing in China

ABSTRACT As the ageing of global societies continues to accelerate, China is actively responding to population ageing through its national strategy, and the rise of new media has provided more opportunities for the realization of this strategy. With the support of new media platforms such as TikTok, elderly people have started an active ageing trend on the Internet. This research conducts a qualitative content analysis of the videos of the top 10 ‘grey-haired influencers’ on the TikTok platform based on the theory of self-presentation, with a focus on their self-presentation in the new media era. Technological empowerment has facilitated the main narrative of grey-haired influencers, and they have transformed from being ‘presented by others’ to ‘creating self-images’. The self-presentation strategies of grey-haired influencers encompass both adherence to and deviations from Goffman’s theory. These strategies elicit diverse feedback from the audience, which prompts the grey-haired influencers to make further adjustments to their strategies and self-presentation. Ultimately, these influencers strive to create a meaningful space for older individuals, promote the development of a new grey-haired identity, and facilitate the dissemination of narratives about ageing among different age groups, thus fostering the practice of active ageing.

Integrated Supervision Center of Huaihua International Inland Port: The Feasibility and Essentiality

Building an integrated supervision center in Huaihua is feasible and essential because Huaihua City is at the center of the border regions of Hunan, Hubei, Chongqing, Guizhou, and Guangxi. In addition, it is a national transportation hub in China because of its distinctive geographic location, abundant resources and labor force. Due to the development of Huaihua International Inland Port, Huaihua has an excellent opportunity to be a logistics and trade center for inland areas in Central China. Given considerations in national strategies, food security, economic development and other factors, an integrated supervision center can be built in Huaihua, as it can promote the connectivity of the Wuling Mountain area and the neighboring provinces, contribute to regional economic development, and enhance China’s national security and supervisory capacity. The development of Huaihua as an integrated supervision center facilitates the processing, bonded warehousing and logistics distribution of high-quality imported commodities from neighboring countries, especially ASEAN countries.

Governing Corporations in National and Transnational Spaces: Cross‐Level Governmental Orchestration of Corporate Social Responsibility in South Korea

AbstractThe loose spatial and temporal coordination of national and transnational governmental corporate social responsibility (CSR) strategies enables multinational corporations (MNCs) to externalize irresponsible behaviours. Political CSR (PCSR) and ‘government and CSR’ studies show how governmental authority shapes CSR at the domestic and transnational levels but provide only limited insights into how to govern MNCs across levels and over time. Combining the concept of orchestration with insights from power transition theory, we theorize cross‐level governmental orchestration as power‐imbued, dynamic, and involving multiple modes of orchestration. Through an analysis of how the South Korean state has deployed CSR domestic and transnational strategies over 30 years, we induce three configurations of cross‐level governmental orchestration, blending coercive, directive, delegative and facilitative modes of orchestration, and identify the mechanisms behind Korea's transition from one configuration to another. Our results: (1) contribute to PCSR and ‘government and CSR’ studies by conceptualizing a systemic and dynamic view of cross‐level orchestration of governmental CSR strategies; (2) advance transnational governance studies by consolidating orchestration theories and considering coercive power, and (3) add to power transition theory by explaining how regulatory capacity‐building enables shifts of cross‐level orchestration configurations.

The impact of the proportion of renewable energy consumption on geopolitical risks in the United States and the United Kingdom

Renewable energy serves as an effective alternative to traditional fossil fuels, reducing reliance on energy imports from specific countries, thereby alleviating geopolitical risks and ensuring national energy security. The development and utilization of renewable energy have profound implications for the global energy consumption structure and geopolitical landscape. This paper utilizes time-series and panel data from 1990 to 2020 to examine the causal relationship between renewable energy consumption and geopolitical risks. Focusing primarily on the United States and the United Kingdom, a multivariate regression model was developed for empirical analysis, with a comparative analysis conducted against other Group of Seven (G7) member countries. Subsequent robustness checks were performed to further validate the model's robustness. Additionally, this study explores the role of military strength as a moderating variable in the relationship between renewable energy and geopolitics. Lastly, a vector autoregression model was constructed to analyze the dynamic relationships between renewable energy and related variables. The findings reveal that (1) consumption of clean renewable energies, such as solar, wind, and tidal energy, significantly reduces geopolitical risks in the United States and the United Kingdom, with differing empirical results for France, Canada, and Japan, interpreted according to their developmental contexts and (2) increased defense expenditure in the US and the UK significantly enhances the positive impact of renewable energy consumption on mitigating geopolitical risks. Utilizing renewable energy not only diversifies national energy options but also reduces reliance on fossil fuels and fosters international cooperation, thereby easing geopolitical tensions. This research enriches the literature on the relationship between renewable energy consumption and national energy security in key global nations and offers theoretical insights for the formulation and implementation of national energy development strategies in the new world development paradigm.

The impact of the English national health inequalities strategy on inequalities in mortality at age 65: a time-trend analysis.

During the 1997-2010 Labour government, several policies were implemented to narrow health inequalities as part of a national health inequalities strategy. Many of these policies are likely to have had a disproportionately large impact on people aged 65 and over. We aimed to understand the association between the health inequalities strategy period and inequalities in mortality at age 65-69. We use population at risk and mortality data covering 1991-2019 to calculate mortality rate at age 65-69 at the Local Authority level. We use the 2019 Index of Multiple Deprivation to examine geographical inequalities. We employ segmented linear regression models with marginal spline terms for the strategy period and interact these with an indicator of deprivation to understand how inequalities changed before, during and after the strategy. The reporting of this study adheres to STROBE guidelines. Mortality rates in each deprivation quintile improved continuously throughout the period of study. Prior to the programme (1991-9) there was no significant change in absolute inequalities. However, during the strategy (2000-10) there was a significant decrease in absolute inequalities of -9.66 (-17.48 to -1.84). The period following the strategy (2011-19) was associated with a significant increase in absolute inequalities of 12.84 (6.60 to 19.08). Our results were robust to a range of sensitivity tests. The English health inequalities strategy was associated with a significant reduction in absolute inequality in mortality age 65-69. Future strategies to address inequalities in ageing populations may benefit from adopting a similar approach.