The Lives Of Others

My mother was a nurse manager of the surgical operating room at a hospital in Los Angeles and she wanted her children to pursue a career in the medical field. She had me come and observe various surgeries to help inspire me to pursue a career in medicine. This is where and when I first learned to have great respect and appreciation for doctors, nurses and medical staff. And then, in my senior year of high school, my best friend was diagnosed with a mental illness. This had a profound impact on me that led me to pursue a career in mental health to help others with mental illness.

The Lives of Others

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For example, United Way and the Mandela Foundation both aim to mobilize volunteers to improve early childhood development. Why? Investing in proper nutrition and educational development can free children from poverty later on. Research shows that children who enter school ready to learn are more likely to achieve early reading proficiency by third grade, and consequently more likely to graduate high school on time. Those benefits stack up: students who graduate high school are more likely to find a job that pays a livable wage, live healthier lives, stay out of the justice system and have children who also graduate high school on time.

One way to positively impact the lives of others is to become a life coach. A life coach is someone who helps others achieve their goals and reach their full potential. If you are passionate about helping others, then becoming a life coach may be the perfect career for you. There are many different ways to become a life coach, but one of the best ways is to get certified through a reputable organization. Once you are certified, you can start your own coaching business or work for an existing company. In order to get familiar with this, you can read this guide on becoming a life coach online and learn how to become one. If you want to make a positive impact on the lives of others, then becoming a life coach is a great option!

If you have a friend or family member who is trying to make a positive change in their life, then be their accountability partner. This means that you will help them stay on track with their goals and provide support when they need it. You can help them create a plan, set up reminders, and check in with them on a regular basis. If you are looking for a way to positively impact the lives of those around you, then becoming an accountability partner is a great option!

The value of statistical life is an estimate of the monetary benefits of preventing an anonymous death. Society's willingness to pay to eliminate private health risks determines agencies' value-of-statistical-life estimates. Most estimates ignore society's willingness to pay to eliminate others' health risks. There are two possible reasons. First, altruism does not exist: Peter is not willing to pay to save Paul's life. The second possible reason is a bit more complicated. Certain economists argue that increasing benefit estimates to account for altruism involves double-counting. The purpose of this thesis is to evaluate these possibilities. Accounting for altruism, it turns out, is not double-counting if altruism is paternalistic. Furthermore, I empirically demonstrate that people are willing to pay to reduce others' health risks. Thus, the two justifications for ignoring altruism are, seemingly, unfounded, which indicates that analysts should increase the value of statistical life to account for altruism.

Six outcomes attributed to social media use are examined: lost sleep, trouble concentrating on tasks or activities, less physical activity, feeling anxious or depressed, feeling envious of the lives of others, and feeling frustrated or angry. Among all social media users aged 15 to 64, around one-fifth reported that in the previous 12 months, they had lost sleep (19%), gotten less physical activity (22%), or had trouble concentrating on tasks or activities (18%) as a result of their social media use. Around one in eight users (12% to 14%) reported feeling anxious or depressed, frustrated or angry, or envious of the lives of others.

After accounting for these characteristics, younger individuals remained significantly more likely than their older counterparts to report four of the six outcomes. Reports of lost sleep were especially prevalent among individuals aged 15 to 19, and trouble concentrating was especially prevalent among social media users aged 15 to 24. Reports of feeling anxious or depressed or of feeling envious of others were more prevalent among youth, broadly defined in this study as individuals aged 15 to 34. Reduced physical activity and feelings of frustration or anger did not vary across age groups once social media use characteristics were taken into account.

Most studies of these issues focus on adolescents and youth. This reflects concerns about the susceptibility of youth to negative outcomes arising from the intensity and duration of their social media use, the effects social media may have on developmental processes underway throughout adolescence, and from disruption and displacement of in-person contacts and other important activities in the lives of youth. But as highlighted above, social media use is widespread across most age groups, raising questions about the prevalence of various outcomes across the broader population. The objective of this present paper is to document reports of the prevalence of social media outcomes among individuals in different age groups. Previewing the results, youth are more likely to report some outcomes that they attribute to social media, most notably lost sleep and trouble concentrating on tasks and activities, while other outcomes, most notably reduced physical activity and feelings of frustration and anger, are more evenly reported across age groups.

In addition to age, social media behaviours and use patterns, such as duration and purpose of use, have been identified as risk factors associated with various outcomes (OECD 2016; Rosen et al. 2013a; Twenge and Martin 2020; Verduyn et al. 2017). In this study, social media use is measured in terms of number of social media accounts used, the number and types of activities undertaken, and the intensity of smartphone usage. All four factors are strongly correlated with reports of negative outcomes attributed to social media use. An interaction effect between age (i.e., youth) and intensity of social media use is observed for some outcomes, but not others.

While most studies of social media impacts have focused on negative outcomes, others have documented positive outcomes. Social media is an efficient tool for interacting with friends and relatives, maintaining relationships across distance, and facilitating scheduling and communication among household members. Social networking sites connect individuals with shared interests, values and activities, and enable individuals to interact with extended networks that would be difficult to maintain in an offline context (Boyd and Ellison 2007; Verduyn et al. 2017). Some studies report that having a large number of online contacts predicts higher levels of life satisfaction and self-perceived social integration (Manago, Taylor and Greenfield 2012; Seabrook, Kern and Rickard 2016; Verduyn et al. 2017). Social networking sites can also reduce barriers to social participation (Ellison, Steinfield and Lampe 2007). Several studies have documented correlations between social media and positive outcomes, such as emotional support and diminished social isolation and loneliness (Ellison, Steinfield and Lampe 2007; Keles, McRae and Grealish 2020; Oh, Ozkaya and LaRose 2014).

The themes highlighted in this literature review inform our research design. A range of outcome variables is used, including some pertaining to emotions (e.g., feeling envious of the lives of others) and some with a more physiological emphasis (e.g., reduced physical exercise, lost sleep). The risk factors considered also echo the themes above, with emphasis on outcomes among adolescents and youth, and among individuals who use social media in different ways and with different intensities.

Of the 11 responses listed above, 7 are included in this analysis. Lost sleep, trouble concentrating on tasks and activities, and less physical activity are among these. As noted above, physiological impacts are among the concerns expressed regarding social media use among adolescents and youth. Four other responses pertain more explicitly to emotional states: feeling envious of the lives of others, feeling frustrated or angry, feeling anxious and feeling depressed. The last two responses (feeling anxious and feeling depressed) are aggregated into a single measureNote to increase cell counts for population subgroups and improve statistical estimates. Positive responses on feeling anxious or depressed are not equivalent to clinical diagnoses. Overall, these seven variables yield six outcomes.

Among all social media users aged 15 to 64, around one-fifth reported that in the previous 12 months they had lost sleep (19%), gotten less physical activity (22%), or had trouble concentrating on tasks or activities (18%) as a result of their social media use (Table 4). Around one-in-eight (12% to 14%) reported feeling anxious or depressed, frustrated or angry, or envious of the lives of others.

Table 4 shows the percentages of social media users with a specific characteristic who reported each of these outcomes. For example, 19% of females had trouble concentrating as a result of their social media use compared with 16% of males. To further assess such differences, a logistic regression model was run for each of the six outcome variables. The results are presented as marginal effects in Table 5, interpreted as the percentage point difference in the likelihood of individuals in one category (e.g., female) reporting an outcome relative to a reference group (e.g., male), net of other characteristics in the model. The models also show whether these differences are statistically significant. Returning to our example, females were almost 4 percentage points more likely than males to report they have had trouble concentrating on tasks and activities as a result of their social media use, net of other characteristics in the model (Table 5). Differences of 3 to 4 percentage points are also observed on the likelihood of reporting reduced physical activity and feeling anxious or depressed, and a difference of 7 percentage points is observed on feeling envious of the lives of others. Reports of lost sleep or feeling frustrated or angry did not differ significantly by sex. Overall, females were more likely than males to report four of the six outcomes considered, with a magnitude of three to seven percentage points.Note 041b061a72