IISPPR

Quality Education
Megha Agarwal

Reshaping the Future: Integrated Digital Learning in Rural India

Empowering rural communities with digital learning unlocks the potential and provide a better opportunity for holistic development. In this research article, we tried to emphasize the significance of digital learning, various government initiatives, major challenges, and the key prospect of digital literacy in rural India. With the vision of the Digital India mission, we also shed light upon productive solutions that may lead to a greater change with regard to digitalization in rural India.

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Climate Action
Abhishek Kumar

Carbon Trading and Technologies Used in Carbon Trading Market

~By Abhishek Kumar  Introduction Carbon Trading represents a market-oriented mechanism for mitigating climate change, facilitating the exchange of carbon credits to control greenhouse gas emissions. Initially introduced under the Kyoto Protocol, it has become a central instrument in international climate policy, enabling countries and organizations to achieve emission reduction targets with greater efficiency (Tietenberg, 2006). It’s key models include cap-and-trade and carbon offset programs, which incentivize emission reductions through market mechanisms (Ellerman et al., 2014). With the Paris Agreement, carbon markets have expanded, supporting global decarbonization efforts and promoting cost-effective pathways to a low-carbon economy (UNFCCC, 2015; Sterner, 2003; World Bank, 2020). Carbon Trading Concept Carbon Trading, also known as emissions trading, is a market-based approach to reducing greenhouse gas (GHG) emissions. It allows countries or organizations with high emissions to buy “carbon credits” from those with low emissions, aiming to limit overall emissions in line with climate goals. This system was popularized under the Kyoto Protocol and is now also integral to the Paris Agreement’s framework. Mechanics of Carbon Trading: The fundamental concept of carbon trading lies in creating a cap-and-trade system. Regulators set a cap on total emissions, and entities are given or can purchase allowances representing the right to emit a specific amount of CO₂. Those who reduce their emissions below their allowance can sell excess credits, incentivizing low-emission practices. Over time, the cap is lowered, which is designed to gradually reduce emissions across the board (World Bank, 2021). Carbon Markets are generally divided into two main types: 1. Compliance Markets: Market Created through regulatory policies like the European Union Emissions Trading System (EU ETS), these markets require participation from industries with high emissions, such as energy and manufacturing sectors. 2. Voluntary Markets: These markets are driven by companies or individuals seeking to lower their carbon footprint beyond legal requirements. Voluntary markets have been expanding as organizations commit to climate goals to showcase their dedication to environmental sustainability. Benefits and Criticisms: Carbon trading incentivizes emission reductions, enables cost-effective achievement of climate goals, and fosters investment in cleaner technologies. However, it faces criticism for potentially allowing wealthy companies or nations to avoid genuine reductions by purchasing offsets, sometimes resulting in insufficient action toward lowering actual emissions (UNFCCC, 2022). Overview of Kyoto Protocol: The Kyoto Protocol, adopted in 1997 and entered into force in 2005, was the first significant international treaty aiming to combat climate change by reducing greenhouse gas (GHG) emissions. It established legally binding targets for industrialized nations (also known as Annex I countries) to reduce their emissions by an average of 5% below 1990 levels over the commitment period from 2008 to 2012 (UNFCCC, 1998). Mechanisms of the Kyoto Protocol: The Kyoto Protocol introduced several innovative mechanisms to assist countries in meeting their emission reduction targets: 1. Emission Trading: Allowed countries with surplus emission allowances to sell these to countries that exceeded their targets, forming the foundation for the carbon trading market. 2. Clean Development Mechanism (CDM): Enabled developed countries to invest in emission reduction projects in developing nations, earning certified emission reductions (CERs) that counted toward their targets. 3. Joint Implementation (JI): Allowed industrialized countries to earn emission reduction units (ERUs) by investing in projects that reduced emissions in other industrialized countries. These mechanisms provided flexibility and cost-effective solutions, encouraging international cooperation on climate action (World Bank, 2021). Second Commitment Period and Limitations: In 2012, the Doha Amendment established a second commitment period (2013–2020) with revised targets, although this amendment faced ratification challenges, limiting its global influence. Moreover, critics noted that the protocol lacked enforcement mechanisms and exempted developing nations, resulting in some major emitters not being bound by reductions (Grubb et al., 2020). Transition to the Paris Agreement: The Kyoto Protocol paved the way for the Paris Agreement in 2015, which expanded the scope to include commitments from all countries, not just industrialized nations. The Paris Agreement’s flexible structure addressed some limitations of the Kyoto Protocol, making it more inclusive and globally focused on long-term climate targets. Technologies Used in Carbon Trading Market 1. Blockchain Technology is increasingly being adopted in carbon trading to enhance transparency, efficiency, and security. By providing a decentralized ledger system, blockchain enables verifiable and tamper-proof tracking of carbon credits, reducing the risks of fraud and double-counting and allowing a seamless transfer of credits between buyers and sellers ( Treiblmaier & Beck, 2019). Key Benefits of Blockchain in Carbon Trading: • Transparency and Traceability: Blockchain creates an immutable record of transactions, ensuring each carbon credit’s origin, ownership, and transfer history are transparent. This addresses common issues in carbon markets, such as double-counting credits, by ensuring that each credit is unique and only transferred once (Broek et al., 2019). • Efficiency and Cost Reduction: Traditional carbon credit verification and trading processes can be time-consuming and costly. Blockchain streamlines this by enabling peer-to-peer transactions without intermediaries, reducing both administrative costs and transaction times. • Enhanced Trust and Credibility: With blockchain’s decentralized nature, each participant in the network has access to the same information, which builds trust among stakeholders, including companies, governments, and non-governmental organizations (NGOs). Blockchain also makes it easier to integrate carbon markets with corporate sustainability goals, improving the reliability of claims about carbon neutrality or reduction efforts (Radhakrishnan et al., 2020). • Smart Contracts for Automation: Blockchain supports the use of smart contracts, self-executing contracts with terms directly written into code. In carbon trading, smart contracts can automatically validate, settle, and enforce carbon credit trades when pre-defined conditions are met, simplifying processes like compliance verification (Loh et al., 2021). Emerging Use Cases and Platforms: Several blockchain-based carbon trading platforms have emerged, including IBM’s Carbon Credit Management System and initiatives like Veridium and Climate trade. These platforms aim to create more accessible, transparent, and reliable carbon markets, potentially reaching broader participation by both large corporations and individual investors. Challenges and Future Prospects: Despite its benefits, blockchain in carbon trading faces challenges such as scalability, regulatory uncertainty, and energy consumption in blockchain networks. However, ongoing research and technological advancements may address

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Affordable and Clean Energy
Shriya Aishani Rachakonda

How Renewable Energy is Changing Everyday Life: From Rooftop Solar Panels to Electric Cars

India’s renewable energy transformation is reshaping daily life through accessible and impactful innovations. With rooftop solar panels supported by initiatives like the National Solar Mission, households can generate clean energy, cut electricity costs, and reduce emissions. Electric vehicles, now more affordable thanks to the FAME scheme, are changing urban transport dynamics. In rural areas, community microgrids provide reliable power in regions prone to outages. Government policies and incentives have spurred nationwide adoption, positioning India as a global leader in renewables. As new technologies emerge, renewable energy will increasingly integrate into Indian life, driving a cleaner, sustainable future.

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Health
Bhavya Gupta

Psychological Surveys: An Essential Component of Mental Health Diagnostics?

By Bhavya Gupta Introduction Health is a philosophical concept that encompasses a fulfilling life, purpose, positive relationships, self-respect, and mastery, rather than merely the absence of illness (Ryff & Singer, 1998; WHO, 2000, 2004) Mental health diagnostics are subtle art of identifying and treating mental disorders, which greatly modify the mental makeup of many other people. Surveys form the basis of that information-from surveys flow information which on both a broader level determines public health strategy and, on a narrower personal level, works on individual treatment planning (Torre et al., 2023) Development in surveys continues to be focused on validating and testing a new approach, including overcoming biases and building effective methodologies (Torre et al., 2023; Wackers & Schille-Rognmo, 2022). With the use of surveys, one may detect mental disorders early which further may prevent mental disorders from becoming progressively worse, and hence, allow good treatment (Sarkar et al., 2022). With surveys providing greater social insight across cultures, surveys inform health policy and improve care for those struggling with mental health issues (Abidogun, 2023; Lutejin, 2019; Bhugra, 2022). Understanding Psychological Surveys Before understanding psychological surveys, it is important to understand the background of traditional mental health diagnostics that inculcated surveys later in development. Conventional diagnostic methods in mental health primarily involve trained practitioners conducting clinical interviews and assessments According to Mueller and Segal (2015), these approaches may range from structured to semi-structured and unstructured with benefits and limitations regarding their application for reliability and validity. While these assessment tools are based on correctly diagnosing the condition, any judgment the clinician employs in interpreting the symptoms can translate into inconsistencies in diagnosis and treatment (Novak, 2015). In addition, access to mental health care is limited for many, due to different social and economic conditions and their geographical locations (Rudenko, 2023). The stigma surrounding mental health poses another obstacle for the diagnostic process, but a limiting resource for the very purposes of diagnosis (Rudenko, 2023). In such a case, psychological surveys could function as a better-enhanced traditional diagnostic method. The accessibility of surveys is somewhat complex and methodological, concerning survey design, scoring, and cognitive processes of responders. A survey is defined as one that collects measures and analyzes data from a sample of respondents to make generalizations about behavior in itself (American Psychological Association, 2018). Surveys can provide answers to many questions, assess needs, set goals, and analyze trends over time (Cambridge English Dictionary: Meanings & Definitions, 2024). Their ability to garner user-friendly and standardised data helps to expand the frontiers of the traditional diagnostic method and enhances the accuracy and accessibility of assessment in mental health. Kraemer (1991) identified three distinguishing features of survey research: Survey research provides quantitative information about a specific population. These aspects frequently involve investigating the relationships between variables. Survey research data is subjective as it comes from individuals. Survey research involves sampling a subset of the population and generalising the findings to the entire population. These surveys seek to measure the prevalence of different mental health issues, such as those related to specific populations such as tech professionals, along with attitudes towards mental health in the workplace (Rasheed et al., 2024). Furthermore, the psychometric instruments used in these surveys are critical for ensuring the reliability and validity of the data collected, even though they may have methodological challenges due to their historical development (Wackers & Schille-Rognmo, 2022). Overall, psychological surveys are critical in mental health assessment, guiding targeted interventions and improving overall well-being. Technological Advancements in Psychological Surveys Technology such as mobile phones and digital platforms has revamped the administration of psychological surveys to a new degree of efficiency and ease of access. These technologies allow a continuous collection of data in real time, with enhanced ecological validity and reduced biases from alternative methods (Elosua et al., 2023). Mobile applications such as PsychVey make survey construction and data analysis seamless with minimal errors from the side of the respondents (Nguyen et al., 2015). In addition to this, the development of AI and machine learning is transforming data analysis: they can analyze data fast and efficiently in volumes that far surpass the capabilities of a human analyst. AI algorithms will also contribute to the personalization of survey experiences via adaptive questioning based on previous answers by respondents. Such advances will allow for the mining of meaningful information from large volumes of data, thus improving clinical inferences (Galatzer-Levy & Onnela, 2023). These serve well for remote assessments and telehealth, while wearable technologies allow continuous monitoring of psychological health, which integrates self-tracking with therapeutic interventions. This is especially critical in enhancing the availability of mental health resources to remotely located individuals with mobility difficulties (Morris & Aguilera, 2022). Nevertheless, the mentioned advantages bring into the equation various concerns about data privacy and the need for stringent validation of these digital tools in a clinical context (“Digital technologies and the future of social surveys”, 2023). Future Trends There lies the possibility for great evolution into the future of psychological surveys concerning personalisation, integration with health care and continuous monitoring, all acting to improve the relevance of psychological assessment and the patient’s clinical outcomes (Cernigilia, 2024). While new surveys will personalize questions according to context and background, they will also be built upon psychometrically validated frameworks- evidence of their relevance. Personalized feedback mechanisms that allow for individual-response modification of treatment approaches will also arise (Farhat-ul-Ain et al., 2022). Surveys will become part of everyday healthcare, enabling observation of mental alongside physical health (Paradiso et al., 2010). Electronic health records (EHRs) will integrate with operational data, providing a comprehensive view of individual patient health and helping make care more personalized (Andrew et.al, 2024). This recent change in the dynamic of analytical models will open the space for longitudinal assessments (Oliden et.al, 2023) Conclusion In conclusion, psychological surveys are a fundamental part of mental health diagnostics, and they have introduced many advancements over traditional approaches by standardizing and making data collection more accessible. And with technology, especially mobile applications and artificial intelligence,

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Quality Education
Megha Agarwal

Inclusive Education : A Sustainable Route to Quality Learning for All in India

Inclusive education is unlocking the potential of every child. It builds the holistic development of a learner. Inclusive education covers all children without any discrimination. It emphasizes SDG Goal 4 and ensures quality learning for all in India. It covers a wide area for the overall well-being of differently abled children.

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Decent Work and Economic Growth
Priyanka Chauhan

Eradicating Child Labor: Sustainable Development Goal 8

Child Labor is a global issue and requires substantial efforts to eradicate the issue. There have been efforts to reduce Child Labor. Education is an effective strategy to address child labor. Making school universal has gone hand-in-hand with reductions in child labor worldwide. Policymakers need to strengthen both access to, and quality of, elementary and secondary education. Education solves the issue of child labor, by channeling the interests of children in their careers. Another solution to reduce Child Labor is to educate child laborer’s parents. Awareness drives have motivated many parents to invest in their children’s education, but there are still some who prioritize money over education.

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Health
Kimneicheing Houkip

Neural dysfunction symptoms, causes and interventions: Dyslexia.

Neural dysfunctions Neurological dysfunctions are abnormal conditions and/or impaired functioning of the brain and the nervous system which alters the efficiency of brain functions. These disorders not only affects the brain but the nerve as well, including the spinal cord resulting to abnormalities in the structure, biochemistry, or electrical functioning of the brain, resulting in a variety of symptoms, including pain, disorientation, paralysis, muscle weakness, loss of sensation, seizures, and changes in consciousness. Neurological disorders make it difficult for everyday movements. Our ability to move is a complex process involving many parts of our nervous system. Neurological disorders can disrupt this process, leading to problems in daily life. It’s important to know that these disorders are a major cause of disability and the second leading cause of death worldwide. (Mario Bernardo-Filho, et al. ) Numerous neurological dysfunctions stemming from the brain, spinal cord, and nerves result in a wide range of physical and psychological symptoms. Such disorders affect the overall functioning such as movement, sensation, communication, vision, hearing, thinking, and emotion, necessitating lifelong management and are often identified early in development, and symptoms manifest themselves physically, cognitively, emotionally.  Dyslexia: Dyslexia, also known as Alexia, is an atypical combination of skills. It is a syndrome, meaning a group of related characteristics that differ in intensity from person to person. These traits include not only specific challenges but also, at times, unique strengths. Dyslexia is acknowledged as a specific learning disability with a neurological origin.   The central component of dyslexia is in its phonological deficit which affects the way children link letters to sounds and decode words. This deficit is often detectable before children receive formal reading instructions. Dyslexia is heterogeneous in nature. In fact, it is not only characterized by phonological deficit but there are other language related challenges such as vocabulary and oral language skills. (Snowling MJ et al, 2020) In addition to reading, students may struggle with spelling and writing. (McBride & Rui En Cheah, 2021). Elliott (2020) argues that there is a lack of standardized criteria for diagnosing dyslexia which creates confusion about when and how to identify and provide intervention. This generates disorientation on who is to be identified as “dyslexic” as its identification depends on the methods used for diagnosis. (Elliott, 2020) Earlier, dyslexia was essentially a reading difficulty coupled with spelling and literacy, often referred to as “reading blindness” Over time, as research on dyslexic learners has expanded, the understanding of dyslexia has broadened, leading to modifications in its definitions. Various cognitive predictors apply to early reading and spelling (Sigmund et al., 2024). Although reading and spelling are significantly related to each other, they are different and dissociable skills important for development of literacy (Kim and Petscher 2023)  Elliott has given four concepts of dyslexia. Firstly, it has often treated dyslexia as synonymous with the idea of reading disability, and difficulty in decoding in word-level. Assessments involve the use of word reading tests and is relatively straightforward, which does not require a battery of psychological tests. (Elliott, 2020)  It is also a subgroup of poor decoders. Definitions from organizations such as the International Dyslexia Association emphasize its constitutional origin in neurology and highlight that dyslexia is a disorder related to language acquisition that runs in families with severe difficulties in reading, spelling, and writing words and sometimes in arithmetic. ) Lyon, Shaywitz, & Shaywitz, 2003, says that dyslexia has a neurobiological origin. However, researchers argue that this idea is an “outmoded notion” (Miciak & Fletcher, 2020, p. 7). Elliott also suggests dyslexia to be a persistent reading problem that doesn’t improve despite high-quality intervention. These people who do not respond to typical treatments will require alternative support. This idea comes with its own challenges. It is difficult to measure and determine when the issues are truly intractable and how long before a diagnosis can be done (Odegard et al., 2020).  Dyslexia is neurodiverse. It goes far beyond difficulties in reading. It includes impairment in cognitive skills such as memory, attention. Such view suggests that individuals with dyslexia doesn’t necessarily have to have reading difficulties as it may involve other cognitive challenges and certain strengths. However, it also brings about a host of conceptual and ethical difficulties. (Holmqvist, 2020)  Although there is a rise in publications, there is still no universally accepted definition of dyslexia. Thematic shifts indicate changing depths of focus rather than consensus (Helland, T., 2022) Symptoms & Characteristics: Symptoms of dyslexia include struggles with phonological awareness, decoding, processing, coding, short term memory, language skills, and comprehension across different age groups. It also affects cognitive skills such as memory. This condition may be linked to orthographic loop (letter-related) and morphological loop (vocabulary development) Essentially, characteristics of dyslexia may include poor decoding (difficulties with accurate reading and sound recognition) poor fluency (issues with speed, accuracy, expression, comprehension) poor spelling (challenges in phonological processing and memory that persists throughout life despite improvements in reading) poor reading comprehension (difficulties in decoding, fluency, phonological awareness) Research over time led to a new and evolved understanding of dyslexia. It is dynamic in nature and varies according to the individual. Development of dyslexia is influenced by neurodevelopmental changes, language and environment, including factors such as social and emotional characteristics (Wolf, M., Gotlieb et al, 2024) Causes:  Dyslexia stems from a complex interplay of genetic & environmental factors as with most disorders with hereditary influence (Catts & Petscher, 2022) Dyslexia extends beyond written language. It can arise from various interacting impairments of cognitive skills (Werth, R.,2024). It can lead to challenges in cognitive functions such as concentration, attention span, internalizing knowledge, automating skills, and motor skills. A complex interplay of visual processing and neurological functions causes dyslexia with certain conditions that lead to reading disabilities. (Werth, R. 2023) Dyslexia is neurobiological in origin, meaning that the problem is located physically in the brain (Snow, Burns, & Griffin, 1998).  Research suggests neuroanatomical and functional insights of dyslexia. For example, early theories claim dyslexia to be cause by an atypical hemispheric dominance,

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International Relations
Sifat Patel

The Role of International Labour Law in Regulating Gig Economy Workers’ Rights

This article examines the critical intersection of international labour law and the gig economy, focusing on the urgent need for protections for millions of platform-based workers. It highlights the role of the International Labour Organization (ILO) in addressing the challenges faced by gig workers, identifying existing legal gaps and proposing essential reforms. The discussion underscores the importance of establishing equitable labour standards to ensure that gig workers receive the rights and protections they deserve in an evolving labour landscape.

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Health
Humaira Hasan

Does Screen Time Worsen ADHD Symptoms? Exploring the Connection

BY HUMAIRA HASAN INTRODUCTION With the rapidly growing technology, would one conclude that screen time has a role to play in amplifying the severity of ADHD? ADHD stands for Attention Deficit Hyperactivity Disorder which is a psychiatric condition that tends to impact individuals in various aspects of their lives ranging from interpersonal relationships to professional achievements. (American Psychiatric Association, n.d.) The global prevalence of ADHD in children and adolescents is estimated to be 8.0%. The rate is significantly higher in boys, at 10%, compared to 5% in girls. Among the three subtypes of ADHD, the inattentive type (ADHD-I) is the most common, followed by the hyperactive type (ADHD-HI) and the combined type (ADHD-C). (Danielson et al., 2024) According to the DSM-5, the symptoms of ADHD can manifest themselves in various forms some of them being reluctance to engage in tasks, requiring sustained mental effort, easily distracted, hyperactivity, and impulsivity. When left untreated, ADHD can gradually diminish long-term self-esteem and impair social functioning. (Harpin et al., 2013) Screen time refers to the time an individual spends on electronic devices such as smartphones, tablets, televisions, laptops, video game consoles, etc. (MedlinePlus, n.d.) There are numerous negative effects that screen time has on an individual’s well-being with some of them including but not just pertaining to ADHD patterns associated with poor sleep patterns, structural changes in the brain that affect cognitive control and emotional regulation, depressive symptoms, etc. (Lissak, 2018) SCREEN TIME & ADHD The advancing field of technology is undoubtedly a boon yet uncontrolled and excessive screen time have detrimental effects not just pertaining to short-term but extending to long-term effects as well. Earlier long-term studies have found strong links between screen time and increased ADHD symptoms. Since ADHD risk is linked to both genetic and environmental factors, identifying possible environmental causes of ADHD changes could help create better treatments and public health plans to support youth mental health. (Larsson, Larsson, & Lichtenstein, 2004) Additionally, evening screen time is linked to greater sleep disruption, which is also connected to behavioral issues.(Casale et al., 2023) IMPACT OF SOCIAL MEDIA ON ADHD Research shows that higher problematic social media use and anxiety are linked to ADHD, with anxiety partly explaining the connection between social media use and ADHD. (Statista, 2024) For instance, constant phone notifications, ongoing app updates, and large social media interactions can lead vulnerable individuals to use social networks excessively and compulsively. There are various social media platforms that are easily accessible namely Instagram, YouTube, Facebook, Twitter, etc. These platforms offer quick and easy access to exciting content like music, videos, movies, and other fast-response interactions. As users become used to this instant feedback, they may lose patience and have trouble controlling impulses, which can lead to ADHD-like symptoms. (Anderson & Anderson, 2024) Problematic Digital Media Use may be defined as the act of unregulated and uncontrolled use of social media which is often associated with negative consequences in everyday functioning. (Casale et al., 2023) Children with ADHD who also had problematic digital media use (PDMU) experienced more severe core symptoms, negative emotions, and difficulties with executive function. They also faced more family stress, life pressures, and lower motivation to learn. The PDMU group showed significantly worse symptoms of inattention, oppositional behavior, emotional issues, and reported higher levels of anxiety and depression. (Shuai et al., 2021)  NEGATIVE CONSEQUENCES OF SCREEN TIME ON INDIVIDUALS WITH ADHD Sleep Disorder Sleep is essential for regulating circadian rhythms which is influenced by the production of melatonin, a hormone that is secreted by the pineal gland. (Figueiro & Overington, 2015) Children with ADHD may have disrupted circadian rhythms due to impaired melatonin secretion. (Takahashi et al., 2024) In a longitudinal study, it was seen that over time, screen time and sleep were not linked to ADHD. However, in the short term, for every extra hour spent watching TV, there was an increase in scores for external behavior problems, and scores also rose for each hour of less sleep. (Levelink et al., 2020) Attention and Focus Issues In a study focused on preschoolers, it was found that exceeding two hours of screen time at age five was linked to a higher risk of significant behavior issues, particularly inattention problems. (Tamana et al., 2019) The earlier and the more children are exposed to screens, the higher the risk of developing hyperactive behaviors. (Wu et al., 2022) Emotional and Behavioral Problems A meta-analysis found a weak but notable link between screen time and children’s internalizing and externalizing behaviors, such as aggression or ADHD symptoms. (Eirich et al., 2022) Another study found that excessive screen time was related to behavior problems, conduct issues, delays in development, speech disorders, learning disabilities, autism spectrum disorders (ASD), and attention deficit hyperactivity disorder (ADHD). It also showed that the more screen time children had, the greater these problems became. (Qu et al., 2023) Research also shows how impulsivity plays a significant role in connecting screen time with symptoms of ADHD, especially regarding social media use. This indicates that the effects of screen exposure can have lasting influences on children’s behavior. (Wallace et al., 2023) There is also a link between emotion regulation skills and screen time showing how excessive screen time is connected to emotional instability during early childhood. (Oflu et al., 2021) INTERVENTION In a population-based study, higher screen time for mothers when their child was three years old was linked to a greater likelihood of ADHD in the children. However, the children’s own screen time did not show a similar connection to ADHD suggesting that it was the mother’s screen time, as the main caregiver, that had an impact, rather than the child’s screen time. (Shih et al., 2023) This highlights the need for parental mediation. Parental intervention is essential for reducing the negative effect of screen time on children with ADHD by setting limits on screen use or monitoring activities. CONCLUSION With the rising prevalence of ADHD, it is important to pay attention to factors that might contribute to the severity

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