QCM : Screen Time and Physical Activity — 28 questions

Explication

University students use digital devices for a variety of activities including learning, research, communication, entertainment, and social networking, as outlined in the fact about their digital device usage.

Explication

Students spend eight to ten hours per day on screens, with higher usage during weekends and examination periods, as documented in the fact about their screen time.

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Screen time includes the total hours students spend using digital devices for academic tasks, social media, gaming, and other recreational activities, making it broader than just recreational use.

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Prolonged screen use is linked to sedentary lifestyles, sleep disruption, weight gain, and increased risk of chronic illnesses, as outlined in the core fact about health effects.

Explication

Excessive screen use among college students has been associated with mental fatigue, anxiety, and depression, as supported by the core fact on health effects.

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The study identified four sleep-barrier groups, including School/Screens barriers affecting 62% of students, and others related to noise, high barriers, and fewer barriers with better sleep, as outlined in the core fact.

Explication

Only about 30% of students met sleep guidelines, and stress was associated with shorter sleep, as reported in the core fact about sleep barriers.

Explication

Physical activity includes a wide range of bodily movements that require energy, not just organized sports or exercise. It encompasses everyday activities like walking and household chores.

Explication

The WHO recommends at least 150 minutes of moderate-intensity physical activity per week for adults, not daily or in continuous blocks.

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Sedentary behavior is measured as the reported hours per day spent in low-energy activities like sitting or lying down, often involving digital device use.

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Physical inactivity is linked to numerous health problems including obesity, cardiovascular disease, and mental health issues like stress and depression.

Explication

Screen time refers to the duration of digital device use, whereas physical activity levels focus on bodily movements' frequency, duration, and intensity.

Explication

Castro et al. found a negative association, meaning students with higher screen hours were less likely to participate in physical activity, but this does not imply causation.

Explication

Nurulaini et al. found that screen time is indirectly related to physical fitness through its association with reduced physical activity, not a direct effect.

Explication

The study aims to assess students' screen time, physical activity, and influencing factors among Bukidnon State University students.

Explication

The research question investigates whether daily screen time significantly relates to physical activity levels among students.

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Displacement Theory proposes that increased time on one activity reduces the time available for other activities, such as physical activity. It does not directly establish causation.

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Sedentary Behavior Theory explains that prolonged sitting and low-energy activities can negatively affect physical health and well-being through metabolic and mental processes, independent of overall physical activity.

Explication

The conceptual framework treats screen time as the independent variable and physical activity levels as the dependent variable, analyzing how one influences the other.

Explication

The study focuses on 30 full-time undergraduate students at Bukidnon State University who regularly use digital devices for various purposes.

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The study uses self-reported surveys to gather data and does not employ objective monitoring tools such as applications or fitness trackers.

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The study employs a quantitative correlational research design, which measures variables numerically and examines their association without manipulation.

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Participants are 30 full-time third-year Bachelor of Physical Education students aged 18 or older who attend on-campus classes.

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The study uses purposive sampling, selecting participants who meet specific characteristics required by the study, such as regular digital device use.

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Self-administered questionnaires often include demographic items and measures like maximum daily screen time, with separate estimates for weekdays and weekends, to gather relevant behavioral data.

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Analyzing data and reporting results are part of data analysis, not data collection; the collection process involves obtaining permissions, explaining the study, and gathering responses.

Explication

Pearson correlation assesses the strength and direction of the linear relationship between two continuous variables, not causation.

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A fundamental ethical rule is that participation is voluntary, and participants can withdraw without penalty; confidentiality is maintained, and results are reported in grouped form.