HLTH 5423 Module 3 Technology and Health Analysis Example

Reviewed by Cornelius Ravenhill, MBA · American College of Education · Updated

This HLTH 5423 Module 3 example weighs how technology raises and lowers myopia risk in middle childhood, written with APA 7 citations. It was prepared for American College of Education HLTH 5423, Lifespan Development for Health Education, the HLTH5423 course inside the college's M.Ed. in Health and Wellness Education. Foreman's meta-analysis links smart device time to higher odds of myopia while admitting weak screen-time measures, and He's Guangzhou trial shows that a daily outdoor class cut incidence from 39.5% to 30.4%. The paper examines devices displacing outdoor play, school tablets and homework, and myths about blue light and glasses, then turns to useful tools such as screen settings, distance reminders, light sensors and photo-based screening, all matched to children's development.

CourseHLTH 5423 Lifespan Development for Health Education
ModuleModule 3
Paper typeTechnology and health analysis
Length1,250 words, about 5 pages plus title and reference pages
FormatAPA 7 student paper
SchoolAmerican College of Education
ProgramM.Ed. in Health and Wellness Education
UpdatedSeptember 2026

Free sample paper for HLTH 5423 Module 3

1

Screens, Sunlight and Smart Tools: How Technology Influences Myopia Risk and Its Prevention in Middle Childhood

Student Name

American College of Education

HLTH5423: Lifespan Development for Health Education

Module 3 Assignment

Instructor Name

October 19, 2026

What this page is doingThe title sets the two forces at the center of the paper, screens and sunlight, beside the tools that could help, which tells the grader the paper weighs technology's harms and benefits. The APA 7 title page carries the course line and module assignment.
2

Introduction

Earlier modules of this project established that most nearsightedness starts between ages 6 and 11 and that the settings of a child's life, from family routines to district recess policy, shape the risk. Technology runs through all of those settings. Children aged 6 to 11 now use smartphones, tablets, laptops and gaming devices at home and at school, often for several hours a day. This paper reviews the research on devices and myopia, how technology shapes the daily routines that matter most, which popular beliefs are not supported and how technology might be used to help rather than harm. It ends with guidance for health educators working with families and schools.

3

What the Evidence Shows About Devices

Foreman et al. (2021) pooled the research on smart device use, meaning smartphones and tablets, and myopia in children and young adults. From 33 studies in the review and 11 in the meta-analysis, they found that smart device screen time alone was associated with higher odds of myopia (odds ratio 1.26), and that smart device use combined with computer use was associated with higher odds still (odds ratio 1.77). The authors were candid about the evidence's weaknesses: no study used a reliable measure of screen time, several did not measure myopia objectively, many did not adjust for confounders and the studies varied widely. The findings therefore show an association, not proof that devices cause myopia.

Several mechanisms are plausible. Devices are held close to the eyes, often closer than books, and used for long unbroken periods. Children may hold tablets at very short distances, especially when absorbed in games or videos. And every hour spent on a device indoors is an hour not spent outdoors, which may be the most important effect of all.

4

Displacing Outdoor Time

The strongest evidence for prevention concerns outdoor time, not screens. In a cluster randomized trial among first graders in Guangzhou, adding a daily 40-minute outdoor class meant that about 30 in every 100 children developed myopia over three years instead of nearly 40 (He et al., 2015). If outdoor time protects children's eyes, then technology's greatest influence may be indirect: devices make indoor time more engaging, so children choose them over outdoor play. For a child in middle childhood, the choice between a new game level and a bike ride is not a close contest, and parents who are tired or worried about safety may welcome the quiet that a tablet provides. Health educators should therefore frame screen time partly as a question of what it replaces.

5

Technology at School

Schools have adopted devices widely, and many elementary students now have their own tablet or laptop for classwork and homework. Digital curricula can be valuable, but they add to total near work, and homework on devices extends screen time into evenings when families are trying to set limits. Indoor recess on rainy or cold days frequently becomes screen time as well. At the same time, schools control resources that can help: they can build distance breaks into device lessons, move some learning outdoors and set expectations for device-based homework. Because schools set much of a child's day, their technology choices have large effects on total exposure.

6

Misconceptions

Families often hear claims about technology and eyes that go beyond the evidence. A common belief is that blue light from screens causes myopia or damages children's eyes; the concern about screens and myopia relates to close focus and lost outdoor time rather than to the color of the light, and blue-light-blocking glasses are not an established way to prevent myopia. Another belief is that screens are harmful only if children sit too close to a television; handheld devices raise more concern because they are held closer and used longer. A third is that glasses make myopia worse, which leads some parents to delay correction; untreated blur in fact makes schoolwork harder and does not protect the eyes. Correcting these beliefs is part of the health educator's role, and it helps families focus on actions that matter.

7

Technology That Can Help

Technology also offers tools. Most devices include screen-time settings that allow parents to set daily limits, schedule downtime and require breaks, which can support family media plans of the kind recommended by the American Academy of Pediatrics (Council on Communications and Media, 2016). Some devices and apps can remind users to look away from the screen at regular intervals or alert them when a device is held too close. Wearable light sensors used in research can measure how much time children spend in outdoor light, and simpler versions could help families and schools track outdoor time as an explicit goal. Photo-based vision screening devices allow schools and pediatric offices to screen young children quickly, and telehealth can connect families to follow-up care in areas with few eye care providers. These tools do not replace outdoor time or examinations, but they can make healthy routines easier to keep.

8

Equity and Access

Technology's effects are not the same for every family. Children in households where parents work long or irregular hours may spend more unsupervised time on devices, not because parents are careless but because screens provide safe, inexpensive supervision when no one else is available. Families in apartments without yards, or in neighborhoods without safe parks, have fewer outdoor alternatives to offer. At the same time, access to the helpful technologies is uneven. Parental control settings require time and skill to configure, and families with older or shared devices may not have them. Photo-based vision screening and telehealth follow-up depend on schools and clinics that can afford the equipment and on families with internet access and flexible time. A health educator who simply advises less screen time and more outdoor play risks speaking mainly to families who already have those options. Equitable strategies therefore include school-based outdoor time, which reaches every child regardless of home circumstances, free screening in schools and hands-on help with device settings at family events.

What this page is doingThe analysis considers how family circumstances shape both the risks of technology and access to helpful tools, and favors school-based strategies that reach every child.
9

Developmental Fit

Any technology strategy must fit the child's developmental stage. Children aged 6 to 8 cannot regulate their own device use and need adults to set and enforce limits, preferably with predictable routines rather than negotiation each day. Children aged 9 to 11 can begin to take part in setting rules, understand simple explanations about eye growth and use reminders on their own, but they remain strongly drawn to games and to peers who are online. Involving older children in designing a family media plan, and giving them responsibility for part of it, builds the self-management skills they will need in adolescence, when parental control declines. Tools should be introduced in ways children can understand and eventually own.

10

Guidance for Health Educators

The analysis leads to several points for health educators. First, present the evidence honestly: device use is associated with myopia, but the strongest proven prevention is more time outdoors. Second, frame limits on recreational screen time around what children gain, especially outdoor play, rather than around fear. Third, work with schools on device-based homework, distance breaks and outdoor learning, since school technology choices affect every child. Fourth, correct misconceptions such as blue light and delaying glasses. Fifth, show families how to use built-in settings and simple reminders, and connect them to vision screening. Finally, match strategies to development, with adult-led routines for younger children and shared rule-making for older ones. The next module will compare how education should differ for these two age groups.

11

References

Council on Communications and Media. (2016). Media and young minds. Pediatrics, 138(5), e20162591. https://doi.org/10.1542/peds.2016-2591

Foreman, J., Salim, A. T., Praveen, A., Fonseka, D., Ting, D. S. W., He, M. G., Bourne, R. R. A., Crowston, J., Wong, T. Y., & Dirani, M. (2021). Association between digital smart device use and myopia: A systematic review and meta-analysis. The Lancet Digital Health, 3(12), e806-e818. https://doi.org/10.1016/S2589-7500(21)00135-7

He, M., Xiang, F., Zeng, Y., Mai, J., Chen, Q., Zhang, J., Smith, W., Rose, K., & Morgan, I. G. (2015). Effect of time spent outdoors at school on the development of myopia among children in China: A randomized clinical trial. JAMA, 314(11), 1142-1148. https://doi.org/10.1001/jama.2015.10803

What the HLTH 5423 Module 3 instructions ask for

Module 3 of HLTH 5423 commonly asks how technology affects health at your chosen life stage. Prompts usually expect you to review evidence on technology's harms and benefits, consider how technology shapes daily routines and relationships and suggest how health educators can respond. Some sections ask you to evaluate a specific device, app or platform. Stay with the stage and issue from earlier modules, and be careful to separate association from causation when you describe the research. Balanced papers that recognize helpful uses of technology tend to score better than those that treat it only as a threat. Check Canvas for whether a particular technology must be the focus. Include both home and school uses of technology where they apply, since children's total exposure spans both settings.

How the HLTH 5423 Module 3 example is put together

The example begins with a meta-analysis of smart devices and myopia and explains its limitations. It then shows how devices may matter most by displacing outdoor time, citing a school-based trial. Sections examine school technology and homework, correct misconceptions about blue light and glasses and describe tools that can help, from screen-time settings to photo-based screening. A section on equity shows how family circumstances shape both risks and access to helpful tools. Another on developmental fit distinguishes younger and older children, and the paper closes with six practical points of guidance for health educators. Throughout, claims are matched to the strength of the evidence behind them.

Reading the HLTH 5423 Module 3 rubric

Graders usually look for a balanced view of technology supported by evidence. Accurate description of study designs and their limits matters, especially the difference between association and causation. Connecting technology to the developmental features of the stage shows integration with the course. Identifying misconceptions and useful tools demonstrates practical judgment. Implications should be specific enough for a health educator to act on, and the paper should cite reviews and trials in APA 7 rather than popular articles. Attention to equity, including which families can use helpful tools, adds depth. A short closing summary that ranks the strategies by strength of evidence helps the reader see priorities at a glance.

Common HLTH 5423 Module 3 mistakes, and how to avoid them

Technology papers tend to become either warnings or product reviews. If you need help finding solid evidence on your technology, explaining its limits or balancing harms and benefits for your stage and issue, we can help. Pass along what you wrote for Modules 1 and 2 plus this week's instructions. Expect a Module 3 paper that reads the research carefully, connects technology to how people at your chosen stage actually live and ends with guidance a health educator could put into practice right away. If your prompt names a specific app or device, we will evaluate that tool directly.

Write yours, or have the desk draft it

This paper is an original model document written by our desk, not a submitted student paper and not an official American College of Education document. Read it for the moves, then write your own to the instructions in your classroom. If you want one built to your exact prompt and rubric, the first custom sample is free and arrives in 24 to 48 hours.

More HLTH 5423 and M.Ed. in Health and Wellness Education sample papers

HLTH 5423 Module 3 questions, answered

What does HLTH5423 Module 3 usually ask for?

HLTH5423's third module generally asks you to examine how technology influences health at the life stage you are studying, weighing harms and benefits with evidence and drawing implications for health education.

Do smartphones and tablets cause myopia?

A meta-analysis found that smart device screen time is associated with higher odds of myopia, but the studies were observational with weak screen-time measures, so causation is not proven.

Does blue light from screens cause nearsightedness?

The concern about screens and myopia centers on close focus and lost outdoor time, not the color of the light, and blue-light glasses are not an established prevention method.

Where can I find a free HLTH 5423 Module 3 sample paper?

A full Module 3 paper appears on this page, examining smart devices and myopia in children, displaced outdoor time, school technology, common misconceptions and helpful tools, with guidance for health educators.

Can technology help prevent myopia?

Indirectly. Screen-time settings, break reminders, outdoor time tracking and photo-based vision screening can support healthy routines and early detection.