A calorie for a Like

Research question

“

Does seeing a post related to physical activity on social

_“

Agenda

This chapter focuses on describing the methodology applied to test the previously mentioned variables.

Research design

02

This chapter focuses on the results and findings of the online survey.

Main findings

03

This chapter focuses on research implications and limitations and future research.

Conclusions

04

The background problem and the variables that will be considered for the research are provided, together with the hypotheses and the conceptual model.

Theoretical background

01

Literature used to support the thesis.

References

1.1 Background problem

Health has become a principal concern in

society due to the struggle to control the

ever-increasing health-care expenditures

Obesity results from imbalanced consumption

of energy caused low level of physical activity,

sedentary behavior, or food overconsumption.

(WHO, 2018).

As of 2016, about 13% of adults worldwide were

considered obese

and 5% of the deaths

worldwide were attributable to obesity.

(Tremmel et al., 2017)

Obesity

Every year different barriers have been

developing which make lowering obesity rates

highly complicated

F i t n e s s

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1.2 Theoretical background

Social media involvement

Involvement in social media lead to explore more

broadly, higher interaction, and use social media as a

criterion for decision-making

(Lim et al., 2013).

Being physical inactivity in the adolescence

significantly increased obesity in adult people

(Pietiläinen et al., 2008).

Social network sites

Education facilitator, high rate of engagement

and peer support

(Chang at al., 2013).

Physical activity

_{Upward social comparison}

Users post to feel: social support

,

emotional empowerment

,

feeling of being connected

.

1

1

H1: Seeing a friend’s post related to physical activity on social

media increases the intention to engage in physical exercise.

2

H2: The effect of seeing a friend’s post related to physical activity on

social media on the intention to engage in physical exercise is

moderated by physical activity. More specifically, it is expected that the

effect is stronger among those with higher levels of physical activity.

3

H3: The effect of seeing a friend’s post related to physical activity on social

media on the intention to engage in physical exercise is moderated by the

level of social media involvement. More specifically, it is expected that the

1.3 Conceptual Model

Social media

involvement

Friend posting on

social media

Physical activity

Intention to

exercise

H4 (+)

H1 (+)

Intention to post

results in social media

H3 (+)

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2. Research and Design

01

Online Survey through

Qualtrics

02

Blocks

03

Variable

measurement

04

Randomized

IV

05

Sample

By assigning people to one of the

different random conditions, the causal

relationship can be determined.

(Aronson, Wilson & Brewer, 1998)

02

The questionnaire was available

from April 12 until April 17. The

sample was composed by 150

respondents.

04

The variables were measured

with Likert scale.

03

Online surveys permits study people in their own

social and cultural conditions.

(Eysenbach & Wyatt, 2002).

01

First: social media involvement

Second: randomized IV with questions

about intention

Third: physical activity

Forth: Demographic variables

3. Main findings

*Confidence intervals significant at p<.05

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4.1 Conclusions

Seeing a Post friend about physical activity does generate a

intention to exercise.

Intention to exercise

When the intention of exercise is generated there is

intention to post on social media.

Snow ball effect

There was an effect found between seeing a post and intention to

post mediated by intention to exercise.

Mediation effect

Millennials groups had a higher intention to exercise than

maturity group when seeing a post on social media.

Millennials

Although there was no moderation effect of past physical activity

and social media involvement, they had a positive direct effect.

4.2 Limitations and future research

Size should be bigger and wider range of

nationalities

Sample and demographic variables

Intention does not necessarily change the behavior

(Sheeran & Webb, 2016).

Behavior

Using different types of post about physical activity

Type of post

Find other variables that can have an effect on moderation

and mediation, but only focusing on millennials

Moderation and mediation

Opportunity for companies to access big

data.

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5. References

➢ Aronson, E., Wilson, T., & Brewer, M. (1998). Experimentation in Social Psychology. The Handbook of Social Psychology. 1:99-142.

➢ Chang, T., Chopra, V., Zhang, C., & Woolford, S. J. (2013). The role of social media in online weight management: systematic review. Journal of medical Internet research, 15(11).

➢ Eysenbach, G., & Wyatt, J. (2002). Using the Internet for surveys and health research. Journal of medical Internet research, 4(2), E13. ➢ Kleinert, S., & Horton, R. (2015). Rethinking and reframing obesity. The Lancet, 385(9985), 2326-2328.

➢ Lim, J-S., Al-Aali, A., Heinrichs, J.H., Lim, K-S. (2013). Testing alternative models of individuals’ social media involvement. Computers in human behavior. Vol 29, pp 2816-2828. ➢ Pietiläinen, K. H., Kaprio, J., Borg, P., Plasqui, G., Yki-Järvinen, H., Kujala, U. M., Rose, R. J., Westerterp, K. R., Rissanen, A. (2008). Physical inactivity and obesity: a vicious

circle. Obesity (Silver Spring, Md.), 16(2), 409-14.

➢ Sheeran, P. & Webb, T. (2016). The Intention–Behavior Gap. Social and Personality Psychology Compass. 10. 503-518.

➢ Tremmel, M., Gerdtham, U., Nilsson, P. M., & Saha, S. (2017). Economic Burden of Obesity: A Systematic Literature review. Environmental research and Public Health.

➢ van Baal P.H.M., Polder J.J., de Wit G.A., Hoogenveen R.T., Feenstra T.L., & Boshuizen H.C. (2008). Lifetime Medical Costs of Obesity: Prevention No Cure for Increasing Health Expenditure. PLoS Med 5(2): e29.

➢ van Uden-kraan C.F., Drossaert, C.H., Taal E., Seydel E.R., van de Laar, M.A. (2009). Participation in online patient support groups endorses patient’s empowerment. National Institute of Health.

➢ Vaterlaus, J. M., Jones, R. M., Patten, E. V., & Cook, J. L. (2015). An exploratory study of time spent with interactive technology and body mass among young adults. Computers in Human Behavior. Vol 52. Pp. 107-114.