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Your research proposal should have a nursing theoretical foundation.

Your research proposal must include the following sections:

Background and rationale for the study

Review of the relevant literature

Design and methodology

You must include the following components:

Section One: Introduction

The research proposal should:

Start with a statement of the problem and objective for the study, which articulates the main objectives that the study desires to achieve.

Include a description of the theoretical framework to be utilized and a rationale for choosing a framework.

Describe the significance and relevance of the problem. Why is this particular study needed? How will findings contribute to the field of advanced practice nursing? Why is this research needed?

Section Two: Literature Review

The literature review should:

Be a synthesis of the major concepts from recently published research findings.

Be organized by themes and not just a report about what each author discovered in his or her research findings.

Identify no fewer than six relevant research articles.

Synthesize the literature in relation to where the study fits within the context of the proposed study.

Section Three: Design and Methodology

In this section, what is to be done, and who, what, how, and where are all to be included in your proposal. The methods should be relevant to the question that is to be answered as a result of the research study. There should be information included about the study design, the setting and sample, data collection methods, and data collection analysis procedures. Ethical considerations should also be addressed in this area. Limitations and a plan for communicating the research findings should also be included in this section.

All critical elements of design and methods should be detailed, including:

Definitions of the variables

Identification of the population and sample

Procedures for sampling

Processes for obtaining consent to do the study

Informed consent form to be given to research participants

Data collection procedures

A clearly stated method of data analysis

An explanation on why your data analysis method is appropriate for your research

Issues related to validity and reliability

Ethical considerations (including plans for the protection of human subjects as appropriate)

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Data Analysis Plan
Suzanna Changulyan
West Coast University
NURS 540
Professor Wright
August 14, 2022
2
Data Analysis Plan
To make inferences about the phenomena being studied, the process of organizing and
evaluating numerical data on research is known as quantitative data analysis. Observational data,
survey responses, physiological measures, and other types of data are all examples of sources of
quantitative information. Quantitative information can be either numerical or categorical.
Quantitative data can be analyzed using various techniques, and the chosen technique will
depend on the study’s unique goals. Typical techniques include Analytical statistics. With the
help of this method, data patterns may be found, and it can be decided whether the data supports
or contradicts theories. Although it can also be utilized with categorical data, statistical analysis
is often performed on numerical data.
Regression analysis is a method for figuring out the determinants that affect changes in
variables, which is the result of a study. Regression analysis can identify the existence and
degree of a connection between a certain variable and an outcome in the research. Data analysis
is a technique used to present and understand data in a way that aids decision-making. Data
analysis can spot trends in the data, judge if the data confirms or disproves ideas, and discover
connections between different variables. Data analysis can also accomplish the display and
interpretation of data in a form that is helpful for decision-making.
The research hypothesis states a difference between the two groups, contrary to the null
hypothesis, which states no difference. In this instance, the null hypothesis would be that social
media has no impact on one’s health, while the study hypothesis would be that social media does
have an impact (Nesi, 2020). It can be explained by examining the two groups—those who use
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social media and those who do not. There may be some social media users in the group who are
in better health than those who are not, but there may also be others in poorer health.
Social media can affect people’s health positively and negatively, which helps explain this.
It can help people feel connected to others but can also lead to stress or loneliness. The health of
those involved may suffer as a result. The research hypothesis is that social media does impact
health, though. It is so that individuals can interact with others and discover new things using
social media. For people’s health, this might be advantageous. As a result, the research
hypothesis would be that social media impacts health, contrary to the null hypothesis, which
states that there is no such impact.
In comparing the number of likes on various Facebook posts for physical and mental
health, a t-test kind of analysis would be used. A sample of 50 posts from Facebook pages for
both physical and mental health will be used for the analysis. The assumption being tested is that
posts on Facebook pages for physical and mental health will receive noticeably different
numbers of likes.
The research design on social media and health is best suited to the t-statistic since it may
be used to determine whether or not there is a significant difference between the two groups. The
t-statistic can be used to determine whether or not there is a noticeable difference in health
between social media users and non-users in this situation (Han et al., 2021). The t-statistic can
also determine which group is more likely to experience a particular health consequence. The tstatistic can be used to determine which group is more likely to experience a specific outcome of
health and whether or not there is a significant difference between the two groups, making it an
effective tool for this research design on social media and health.
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Several techniques could be applied to assess the data gathered on social media and health.
Inferential statistics are frequently used to analyze quantitative data. It would entail analyzing the
data and coming to conclusions using a statistical model. In order to guarantee a level of
precision for the findings, a significance level of .05 could be chosen. Descriptive statistics can
also give a broad picture of the data. It would contain details like the number of tweets sent each
day, the typical word count per tweet, and the proportion of tweets about social media or health
(Karim et al., 2020). Although it can be helpful to comprehend the overall patterns in the data,
this information cannot definitively be used to determine the relevance of the findings.
A third alternative technique is a content analysis. In order to understand the issues being
addressed, this would include evaluating the language used in the tweets. The relevance of the
data might then be inferred using this information. However, compared to the other two
procedures, this one takes more time and might not be as precise. Thus, it’s critical to consider
the significance level when examining social media and health data.
The course of my future research will depend on whether I accept or reject my null and
research hypotheses. I will start by listing the various research designs used to study social media
and health. The data will be analyzed quantitatively to evaluate how it connects to the research
designs. After that, I will decide whether to accept or reject my null and research hypotheses
depending on my analysis findings. Consequently, I am interested in the following findings from
this quantitative study: to recognize the many research approaches used to study social media
and health, to determine how they connect, and to decide if one research design is more effective
than another.
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References
Han, M., Tan, X. Y., Lee, R., Lee, J. K., & Mahendran, R. (2021). Impact of social
media on health-related outcomes among older adults in Singapore: qualitative study.
JMIR aging, 4(1), e23826.
Karim, F., Oyewande, A. A., Abdalla, L. F., Ehsanullah, R. C., & Khan, S. (2020).
Social media use and its connection to mental health: a systematic review. Cureus,
12(6).
Nesi, J. (2020). The impact of social media on youth mental health: challenges and
opportunities. North Carolina medical journal, 81(2), 116-121.
1
Implementation Plan
Suzanna Changulyan
West Coast University
NURS 540
Dr. Wright
August 7, 2022
2
Ethics
Research on this topic will remain ethical by protecting the confidentiality and privacy of
the participants and ensuring that any participation in the study is voluntary. Participants have a
right to privacy that cannot be overlooked when conducting ethical research. Confidentiality
relates to the protection of the participant’s credentials while privacy refers to the protection of
the direct information shared by the participant with the researcher (George & Bhila, 2019, p.
374). Therefore, the surveys will not contain any identifying information. Names, emails, phone
numbers, social media handles, physical addresses, and IP addresses will not be included in the
surveys or personal notes. Participants will be referred to as numbers to protect their identities
and the specific information they share during the research process.
Furthermore, participants must sign a consent form. The purpose of informed consent is
to provide potential participants with the necessary information they need to make an informed
decision on whether or not they wish to participate in the study. It is an essential component of
developing a strong research methodology because it is crucial for the research’s validity that all
participation is voluntary (Tulyakul & Meepring, 2020, p. 86). According to the guidelines
established by the Human Research Protection Program, participants will be presented with a
form outlining the purpose and expectations of the research (“Consent Guidelines,” 2022). The
form will also state that the participant has the right to withdraw his consent at any time. If
participants do not sign the form, they cannot participate.
In addition to surveys, I will monitor social media websites through my accounts on
Twitter, Facebook, Linkedin, and Instagram. I will specifically search for data regarding the
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posts with the best performance. While I take notes on what I see, the notes will also lack
identifying information to protect the privacy and confidentiality of the people involved. If I
intend to use any direct post, images, or content created by someone, I will reach out to that
person to request their permission. If they do not permit me to use the material, I will not use it.
Informed Consent Form
Purpose of the Study. The purpose of this study is to analyze the negative impact that
social media has on the lives of individuals between 21 and 35 years old.
Study Procedures. This study utilizes a survey to collect data. You were invited to the
survey either through an email, social media, or a website pop-up. You will be required to sign a
consent form before you see the survey questions. The survey is in a multiple choice format. All
data collected will be statistically analyzed after participation in the survey has closed.
Confidentiality. Your participation in this survey will be anonymous. Please do not
include any identifying information in your survey.
Contact. If you have questions at any time about this study, you may contact the researcher
whose contact information is provided below.
Voluntary. Your participation in this study is voluntary. If you decide to participate in this
study, you will be asked to sign this consent form. After signing the form, you are still free to
withdraw your participation at any time. You do not have to give a reason to withdraw and it will
come at no cost to you. If you withdraw, any data you gave will be destroyed.
Consent. I have read and understood the provided information about the study and have
had the opportunity to ask questions. I understand that my participation is voluntary and that I
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am free to withdraw at any time. I understand that I do not have to give any reason to withdraw
and that I can do so without cost. I voluntarily agree to take part in this study.
Participant’s signature ______________________________ Date __________
Recruitment
Since participation in the study is voluntary, invites to participate in the survey will be
sent a week in advance of the due date. By giving participants a week to respond to the survey,
they can comfortably decide for themselves if they want to participate. The invitation will be sent
via social media and email, and website pop-ups. When recruiting via social media Arigo et al.
(2018, p. 11), recommend carefully assessing the pros and cons of using different sites as
different platforms target different populations and allow for different kinds of content. For these
reasons, invites will only be sent via Facebook and Twitter. Emails will be sent only to those
whose emails I currently have access to. Website pop-ups will appear in the form of paid ads.
Participants will receive reminders to complete the survey and will be sent through the
same channels. The invite will include a link to a reputable survey site. The participants will be
prompted to sign the consent form before starting the survey. If they do not sign the form, they
will not be allowed to access the survey questions.
Participants may request that the survey is conducted in person or on the phone. All of
the ethical standards mentioned above still apply even though participation is offline. Answers
will be recorded, transcribed, and lacking all identifying information. These participants must
also sign a consent form.
Quantitative Data Collection
The survey will contain closed-end questions in a multiple choice format. Specifically, the
participants will be asked to rate their experiences on social media on a 7-point Likert Scale.
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Likert scales are a common tool used in research to assess a person’s level of agreement or
disagreement with certain statements or ideas (Taherdoost, 2018, p. 3). Additionally, 7-point
scales are considered highly reliable compared to other Likert systems (Taherdoost, 2018, p. 5).
Current literature also suggests that participants prefer 7-point scales (Taherdoost, 2018, p. 5).
The scale will include the following options from left to right: strongly disagree, disagree,
somewhat disagree, neutral, somewhat agree, agree, and strongly agree. The options coincide
with a generic response continuum, where strongly disagree equals one and strongly agree equals
five when the questions are positively framed according to the research construct. The continuum
is reversed when the questions are negatively framed according to the research construct.
For the monitoring of social media websites, data will be collected based on whether or not
the post is self-aggrandizing and how much it is so. These observations will be conducted using a
7-point Likert scale following the specifications noted above. Another assessment will be
conducted with an adapted 4-point Likert scale to measure the post’s success. Likert scales can be
adapted to objectively measure other areas outside of personal perspectives on behavior
(Yavuzalp & Bahcivan, 2020, p. 33). The 4-point scale will include the following: not successful
(0-50 likes), somewhat successful (51-100 likes), successful (101-1000 likes), and very
successful (1001+ likes). The 4-point scale will use a general continuum with the leftmost option
equaling one and the rightmost equaling four.
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References
Arigo, D., Pagoto, S., Carter-Harris, L., Lillie, S. E., & Nebeker, C. (2018). Using social
media for health research: Methodological and ethical considerations for recruitment
and intervention delivery. Digital Health, 4, 1-15. doi: 10.1177/20552076187717
Consent Guidelines. (2022). Human Research Protection Program.
https://irb.ucsf.edu/consent-guidelines
George, J., & Bhila, T. (2019). Security, Confidentiality and Privacy in Health of
Healthcare Data. International Journal of Trend in Scientific Research and
Development, 3(4), 373-377. e-ISSN: 2456 – 6470
Taherdoost, H. (2019). . What Is the Best Response Scale for Survey and Questionnaire
Design; Review of Different Lengths of Rating Scale / Attitude Scale / Likert Scale.
International Journal of Academic Research in Management (IJARM), 8 (1), 1-10.
hal-02557308f
Tulyakul, P., & Meepring, S. (2020). Ethical Issues of Informed Consent: Students as
Participants in Faculty Research. Global Journal of Health Science, 12(3), 86-90.
doi:10.5539/gjhs.v12n3p86
Yavuzalp, N., & Bahcivan, E. (2020). The online learning self-efficacy scale: It’s
adaptation into Turkish and interpretation according to various variables. Turkish
Online Journal of Distance Education, 21(1), 31-44. ISSN 1302-6488
Research Design on Social Media
Suzanna Changulyan
West Coast University
NURS 540
Dr. Pamela Wright
July 31, 2022
The rapid development of networking sites over the past decade, such as Facebook,
Instagram, Twitter, Myspace, and WhatsApp, has affected how people interact, socialize, and
communicate. Such networking sites such as Facebook, the widely used website with billions of
active users and the most growing site, especially in developing countries, have brought many
advantages for businesses and personal usage. Such applications have increased online learning,
sharing of ideas, and connectedness. However, despite the numerous benefits of social
networking sites, social media has presented a detrimental effect of its usage on individuals at
different levels. For instance, social media has been identified as a significant threat to the
psychological well-being of individual users. Individuals involved in social media activities such
as gaming, texting, and using their phones are most likely to suffer from anxiety and depression.
The paper focuses on the sampling, reliability, and validity of the effects of social media usage
on youths.
Sampling
For this research proposal, the main focus is the effects of social media on youths. Most
youths between the ages of 21 and 35 are active social media users. There are both positive and
negative effects of social media on the youths. For instance, most youths use social media sites
such as Facebook for connectedness to keep them connected with their friends whenever they
cannot be close to them. Also, they use it to keep them updated on what is happening worldwide
and in their locality. Also, they find it a way of expressing themselves as youths like making new
friends and developing their skills on most sites. The research was conducted among one
hundred youths from different locations, which presented information and mentioned the effects
of social media usage on their lives (Berndt, 2020).
However, there are detrimental adverse effects of social networking among the youths. For
instance, most youths use social media as a priority and do not concentrate on matters close to
them, such as family. Also, youths focus so much on what people have posted, not knowing that
people show a virtue of themselves that they only want people to see and be aware of and not
their exact lifestyles.
Most online activities affect the mental well-being of youths. Effects such as depression,
anxiety, cyberstalking, cyberbullying, sleep deprivation, suicide and self-harm, social isolation,
and other harmful activities have increased among the youths due to social networking sites.
Depression and emotional disturbance are common effects of social media usage among
children. This is because when young people are made to feel inferior on social sites by their
counterparts, they mostly fall into depression due to emotional disturbance, thus affecting their
mental health. Another mental effect of social media on Youth is anxiety. Youths are eager to
know what other people are doing and become victims of anxiety and depression as the activities
affect their daily moods and proceed.
Cyberstalking has become a common adverse effect of youths’ social media use, adversely
affecting their mental health. Most youths are addicted to sharing their locations, and updating
their daily activities on social media like their check-ins, what they are listening to, eating,
watching, and other personal activities. They become addicted to such activities as they also look
up updates from their friends, and most of the time, they feel lonely when their social media
friends are not active. Another significant effect of social media that affects youths’ mental health
is cyberbullying. This refers to using social media for false communication, embarrassment, and
hostile messaging to specific users. Victims of cyberbullying mostly end up with psychological
issues such as depression, loneliness, stress, anxiety, low self-esteem, and isolation. Others end
up with suicidal thoughts. Also, Low self-esteem is mainly a result of addictive social media
usage. For example, young girls and teenagers compare themselves with celebrities they see
online and want to become slim, pretty, and rich like them. The imitation negatively affects their
dignity and self-esteem, thus resulting in low self-esteem and stress.
Moreover, over the past years, suicide and self-harm have become significant issues among
youths. This has been increased by the increased usage of social media platforms. Contents on
suicide and self-harm are available on various online platforms, thus giving youths chances and
opportunities to harm themselves without a second thought. Most youths on online media can do
anything to get attention and like copying everyone (Karim, Oyewande, Abdalla, Ehsanullah, &
Khan, 2020). Therefore, if they see that someone got a lot of followers due to self-harm, they
would want to do that to have the same attention. The situation worsens when they have suicidal
thoughts, and they can access different methods of committing suicide as they have online
platforms.
My sample is appropriate for the study for various reasons (Berndt, 2020). At first, youths
between the ages of 21-35 are at a stage whereby they want to figure out their lives, what they
can do best, and want to become stable. Age gives them stress in life as they want to achieve
what others of their age have already completed (Hou, Bi, Jiao, Luo, & Song, 2020). Also,
youths within the age bracket have internet access and primarily social media platforms; thus,
they are more connected to friends and people on different social media platforms, consuming a
lot of content online. They are more exposed; therefore, overexposure has a detrimental effect on
them, affecting their social interaction, health, and emotional development. Also, youths spend a
lot of time on social media and are more unsafe and prone to peer pressure, depression and low
self-esteem, which results in mental illness (Nesi, 2020). Also, I found the sample appropriate
because most young youths are exposed to online predators as they try to figure out what they
want to pursue in their life. The exposure can either be positive or negative. Also, social media
activities such as bullying, rumor spreading, personal behaviors, and online comments primarily
affect the emotional well-being of youths as they want to be the best on the sites due to peer
pressure.
Reliability
The main aim of the research was to obtain qualitative data; that is, information expressed
in words can be categorized. During the study, I will use two data collection methods: social
media monitoring and survey (Gill, 2020). One way to obtain information from young people
directly is through surveys. The survey will contain a series of questions that respondents will
react to in just one or two words, and attendees will frequently be given a list of possible
answers. I’ll do surveys over the phone, through emails, in person, or online (Urstad, Andenaes,
Wahl, Kvarme, Helseth, & Moum, 2020). Again, I can invite respondents to participate in the
survey by sharing a link to it via email, social media, and pop-up windows on your website.
Another fantastic source of client information is social media. To better determine my intended
audience, in this case, the youths. I may keep track of media platforms sites available on social
media by performing regular searches for your website address, establishing alerts, or by using
3rd party social media monitoring tools. I may also get data regarding the performance of the
postings from several social media platforms. Also, I may be able to get even deeper information
from third-party services. The tools are a reliable and distinctive method of acquiring data from a
sizable population in survey research. Surveys have the advantages of a large population, which
increases statistical power, the capacity to collect vast volumes of data, and the existence of
verified frameworks (Urstad, Andenaes, Wahl, Kvarme, Helseth, & Moum, 2020).
Validity
There are various ways of ensuring a good sample size for the project. There are four
factors to consider when assessing my data’s statistical validity: the population, confidence,
likelihood, and error margin (Parekh, Amarasingam, Dawson, & Ruths, 2018). The term
“population” refers to the audience to which I want to deploy the data. The tools and funds will
determine the population density and surveying strategy I have at my disposal. The margin of
error is the degree of uncertainty or probable error you will tolerate. It is represented by the “+/-”
value in media questionnaires. My sample size will have to be higher to lower the percentage.
How certain you must be that your info is reliable. The normal range, calculated as a proportion,
is 95 percent, or 0.95. Chances are the proportion of respondents you anticipate.
References
Berndt, A. E. (2020). Sampling methods. Journal of Human Lactation, 36(2), 224226.
Gill, S. L. (2020). Qualitative sampling methods. Journal of Human Lactation, 36(4),
579-581.
Han, M., Tan, X. Y., Lee, R., Lee, J. K., & Mahendran, R. (2021). Impact of social
media on health-related outcomes among older adults in Singapore: qualitative
study. JMIR aging, 4(1), e23826.
Hou, F., Bi, F., Jiao, R., Luo, D., & Song, K. (2020). Gender differences of
depression and anxiety among social media users during the COVID-19
outbreak in China: a cross-sectional study. BMC public health, 20(1), 1-11.
Karim, F., Oyewande, A. A., Abdalla, L. F., Ehsanullah, R. C., & Khan, S. (2020).
Social media use and its connection to mental health: a systematic review.
Cureus, 12(6).
Keles, B., McCrae, N., & Grealish, A. (2020). A systematic review: the influence of
social media on depression, anxiety and psychological distress in adolescents.
International Journal of Adolescence and Youth, 25(1), 79-93.
Nesi, J. (2020). The impact of social media on youth mental health: challenges and
opportunities. North Carolina medical journal, 81(2), 116-121.
Parekh, D., Amarasingam, A., Dawson, L., & Ruths, D. (2018). Studying jihadists on
social media: A critique of data collection methodologies. Perspectives on
Terrorism, 12(3), 5-23.
Urstad, K. H., Andenaes, R., Wahl, A. K., Kvarme, L. G., Helseth, S., & Moum, T.
(2020). The health literacy questionnaire: Initial validity testing in a Norwegian
sample. HLRP: Health Literacy Research and Practice, 4(4), e190-e199.
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Literature Review
Suzanna Changulyan
West Coast University
Dr. Wright
NURS 540
July 17, 2022
2
The evolution of the technological landscape in the past years has contributed to the
significant influence of social media in the lives of individuals across societies. Social media
platforms such as Instagram, Twitter, and Facebook are highly responsible for aggravating
mental health issues in the community. Research studies have uncovered the extent of the
influence of social media of various individuals in society. This paper explores and reviews past
literature on the effect of social media usage on the mental health of individuals.
Social media and mental health
Karim et al. (2020), conducted a systematic review to assess the connection of social media
usage to mental health. The systematic study identified that individuals who were involved in
social media, online games, texts, and phones were more likely to experience anxiety and
depression. This research concluded that there exists a detrimental effect of social media usage
on the psychological well-being of an individual. The findings of this research can be further
supported by the research conducted by Nesi (2020).
Nesi, (2020) conducted research exploring challenges and opportunities presented by the
usage of social media on the mental health of adolescents. According to the study, social media
peer experiences present a number of risks to the mental health of an individual. For example,
the content related to self-injury and suicide is readily available online, which can potentially
increase the suicide rates among adolescents who are already vulnerable. In particular, the study
notes that selective self-presentation on social media is a major contributor to anxiety and
depressive symptoms among the youth in the community. The findings of this research can be
used to examine the various consequences that can occur as a result of the excessive use of social
media platforms among adolescents in the community.
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Age difference on the effect of social media usage on the mental health
Moreover, researchers have moved beyond the assessment of the general impact of social
media on the community to examining cases of age differences. Keles, McCrae, & Grealish,
(2020), conducted systematic research which focused on the influence of social media on the
mental health of adolescents. The research classified its study into four main domains which
include; addiction, investment, time spent, and activity. This systematic review identified a
correlation between the domains and mental health issues including anxiety, depression, and
psychological distress among the adolescents in the community. The findings of this research
differed from the case of Han et al, (2021), who majorly focused on examining social media
usage among older adults.
Han, Tan, Lee, Lee, & Mahendran, (2021), in their research, explored the worldwide spread
of digitization and a major focus on the impact of social media usage among the older adults of
Singapore. Using a qualitative research design approach, this research examined older adults
between the age group of 60 and 80, experienced in internet-enabled technology. Contrary to the
findings presented by Nesi (2020) and (Keles, McCrae, & Grealish, 2020), which focused on
adolescents, Han et al. (2021), identified a positive contribution of social media on psychological
well-being of older adults. According to the research, the social media engagement of older
adults improved not only their attitudes but also boosted their social connections which resulted
in improved mental health. The examination of the influence of media activities on the
psychological wellbeing of different age groups creates a better foundation for understanding the
area of focus and suitable delivery of treatment.
Gender differences on the influence of social media on mental health
In addition to the age group differences, researchers have also explored the gender differences
regarding the influence of social media on mental health. (Hou, Bi, Jiao, Luo, & Song, 2020)
explored the gender differences in anxiety and depression among social media users during the
Covid-19 pandemic in China. With the understanding that social media addiction can lead to
mental health issues, the study used cross-section research to explore the gender differences in
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mental health. The study identified that females were more likely to be at a greater risk of
physiological issues compared to males. In particular, the research identified that social media
usage can result in more severe stress, anxiety, and depression symptoms in females compared to
male social media users.
To further explore the research conclusions presented by Hou, Bi, Jiao, Luo, & Song, (2020),
a newer research study by Svensson, Johnson, & Olsson, (2022) examined gender differences in
digital media activities and general well-being. Gathering information from four cross-sectional
surveys, this research measured different digital media activities including; playing video games
and social media activities such as online sociability and chatting. The research identified that
video games and social media usage were positively associated with internalizing symptoms
such as sadness and loneliness. The findings were, however, conditional. Similar to the findings
presented by Hou, Bi, Jiao, Luo, & Song, (2020), the study concluded that the use of social
media and video games presented more internalizing symptoms in the case of girls as compared
to boys. The online self-presentation by girls particularly contributes to the internalizing
symptoms. The findings on the gender differences on the impact of social media usage can be
used to develop a proper foundation for addressing the issue in the community.
Conclusion
Research studies have uncovered the connection between social media usage and mental
health among individuals in society. In particular, social media usage can contribute to mental
health issues such as severe anxiety, stress, and depressive symptoms. From the exploration of
the past research studies, social media presents more severe mental health issues in adolescents
and younger adults. On the other hand, research studies tend to associate positive feelings and
attitudes with the use of social media in the case of older adults. Besides, research studies have
identified the gender differences in the influence of social media on the stability of mental health.
The explored research studies suggested that the anxiety and depressive symptoms as a result of
social media users are more severe in the case of females as compared to males. The findings of
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these research studies can be used by nurses to improve the ground of understanding and solving
the problem.
Moreover, the findings from the research create room for the exploration of future research
questions. The first research question that can be explored in the future is how social media can
be used as a tool to spread awareness of the dangers of addiction to media activities among
adolescents and young adults. Another question that can be explored in the future is the gender
difference in response to mental health treatment as a result of social media addiction. Besides,
future research can examine the likelihood of relapse to social media addiction following the
completion of treatment among adolescents and young adults.
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References
Han, M., Tan, X. Y., Lee, R., Lee, J. K., & Mahendran, R. (2021). Impact of social media on
health-related outcomes among older adults in Singapore: qualitative study. JMIR aging, 4(1),
e23826.
Hou, F., Bi, F., Jiao, R., Luo, D., & Song, K. (2020). Gender differences of depression and
anxiety among social media users during the COVID-19 outbreak in China: a cross-sectional
study. BMC public health, 20(1), 1-11.
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The effect of social media on mental health
Suzanna Changulyan
West Coast University
NURS 540
Dr. Wright
July 10, 2022
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Research topic and Problem statement
Social media, while can be considered a positive outlet for increasing awareness of various
subjects in the community, has been linked to the degradation of mental health. Several research
studies have linked social media usage to various mental health issues such as; anxiety, stress,
and depression (Karim, Oyewande, Abdalla, Ehsanullah, & Khan, 2020).
To better identify and deliver proper mental health treatment services, there is a need to be aware
of social media usage and its impact on mental health.
Research Questions
●
What is the level of awareness regarding the negative impact of social media use among
the nursing practitioner?
● Do nursing professionals with sufficient training on the assessment of the impact of
social media on mental health compare to those without training regarding the delivery of
effective mental health services?
Significance of the research topic to nursing
Nurses, in various mental health facilities, play an essential role in the diagnosis and delivery of
effective treatment to patients. As such, the proposed research study will aid in identifying the
contribution of heavy social media use to the mental health of an individual. The findings of the
research will offer a strong basis for understanding the importance of the need for nursing
professionals to assess social media usage when treating and managing mental health disorders.
Besides, the findings of this research will help understand the importance of training nursing
professionals on the connection between social media usage and mental health disorders
(Schønning, Hjetland, Aarø, & Skogen, 2020). With an increased understanding of the effect of
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social media use, nurses can be able to deliver better and more effective treatment services to
patients.
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References
Karim, F., Oyewande, A. A., Abdalla, L. F., Ehsanullah, R. C., & Khan, S. (2020). Social media
use and its connection to mental health: a systematic review. Cureus, 12(6).
Schønning, V., Hjetland, G. J., Aarø, L. E., & Skogen, J. C. (2020). social media use and mental
health and well-being among adolescents–a scoping review. . Frontiers in psychology, 11, 1949.

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