Social influences on fitness behavior

Summary

Physical fitness is maintained by a range of physical activities. Physical activity is defined by the World Health Organization as "any bodily movement produced by skeletal muscles that requires energy expenditure."[1] Human factors and social influences are important in starting and maintaining such activities. Social environments can influence motivation and persistence, through pressures towards social conformity.

Obesity edit

 

Obesity is a physical marker of poor health, increasing the likelihood of various diseases.[2] Due to social constructs surrounding health, the belief that being skinny is healthy and discrimination against those perceived to be 'unhealthy',[3] people who are considered overweight or obese on the BMI scale face many social challenges. Challenges can range from basic things such as buying clothes, pressure from society to change their body, and being unable to get a job. This can lead to various problems such as eating disorders,[citation needed] self-esteem issues,[citation needed] and misdiagnosis and improper treatment of physical ailments due to discrimination.[4][5][6] People who are obese are also less likely to seek medical care than people who are not obese, even if their weight is caused by medical problems.[7]

Adult edit

Children edit

Obesity can lower mood and lower self-esteem.[8]

Fitness Media Influences edit

 

Positive effects of Instagram:

Instagram can be a community of people who post their fitness goals to motivate themselves[9] and others. Individuals and personal trainers post weight loss transformations,[9] at home workouts, sports, and lifestyle changes. People post and share their appreciation for the sport and introduce it to people.[10] People in these communities can also share their progress in and gain positive feedback from their peers.[10]

Negative effects of Instagram:

Instagram can also cause harm because people compare themselves to fitness professionals and models who have a very fit physique.[11] Seeing lots of people who appear to be healthy and fit can have people comparing themselves and not liking what they see in the mirror.[12] Seeing people who have a nice physique can make people develop eating disorders and body dysmorphia.[13] This can lead to use of steroids and performance enhancing drugs to help improve the look of peoples physique.[14] A side effect of doing this is people prioritize how they look and not their health which makes it unhealthy to do.[14] people see the standards of males with big arms and abs and women as thin and lean as the ideal body type.[13] These standards make it difficult for people on the internet to not compare themselves to these people. Body dysmorphia can cause people to value their appearance over their health.[13] Seeing influencers with great bodies can cause some people to take anabolic steroids in order to look like the people they see online.[13] Seeing your body image negatively can lead to negative behavior, depression and anxiety.[13] Social media fitness can be taken negatively and affect users mental and physical health. To prevent negative effects of fitness social media the consumer should ask the credibility of the creator.[15] Another helpful tip to help with harmful effects of fitness media is to see them as challenges and not make them demotivate you.[15]

Instagram during Covid-19

During the lockdown many people were stuck inside and unable to go to gyms. This caused a lot of people to gain weight because of the lack of access to gyms, and fear of going outside.[16] Physical fitness during Covid-19 was promoted by personal trainers unable to do their jobs in person so they transferred to online coaching. [16] The isolation and quarantining that came with the virus closed gyms and usual places people go.[16] With people disconnected from their usual routines, these posts helped people stay motivated and keep up with their physical appearance when there was no access to gyms.

Reasons for inactivity edit

 
Segregated cycling along a Fietspad in Amsterdam, safe by avoiding conflict with traffic
 
Nederlands Amsterdam: Cycle route through Rijksmuseum in direction of city

In the US, only 26% of adults engage in vigorous leisure-time activity (which includes a sport) or exercising three or more times per week. In an effort to increase adult involvement and decrease the percentage of adult inactivity, the US Department of Health and Human Services has set a national health objective for 2010 that hopes to "Reduce the prevalence of no leisure time activity from more than 25 percent to 20 percent of US adults" (Berlin, Storti, and Brach 1137). In Australia, the Australian Bureau of Statistics found that in 2011/12 adults spent an average of 33 minutes per day doing physical activity with 60% of the population doing less than 30 minutes and fewer than 20% doing an hour or more per day on average. The survey also showed almost 30% of the adult population reporting more than five hours of sedentary leisure activity each day.[17]

Inactivity in young people has been seen to be rising in recent years, and the prevalence of sedentary leisure activities for children is significant. Video games and the internet may play a part in this. It has been found that "26 percent of children and adolescents in the United States spend more than four hours a day watching television, and they have become even more sedentary with access to computers and video games" (Damlo 1434). Along with, "62 percent of children nine to thirteen years of age do not participate in organized physical activities, and 23 percent do not participate in non-organized physical activities outside of school hours" (1434).

One reason for physical inactivity may be the perception that there is nowhere safe to do so. Ways that can help increase the amount of physical activity is to plan and build the environment in a way that makes the population of the community feel safe to be physically active in the area. This could be done for example by slowing speed limits to safer speeds and providing safe street crossings and also by building infrastructure close to the street and pathways with safe pedestrian and cycle access and safe bike parking.[18]

Initiatives edit

Given the social and economic costs of low levels of physical activity there have been a number of public policy initiatives to raise the level, particularly focusing on children and adolescents.

Wellness On Wheels edit

The Wear Valley District Council along with its local Durham Dales Primary Care Trust in England developed an innovative scheme in an effort to combat the high levels of poor health and obesity in the area. They created a mobile gym with electronic fitness monitoring equipment, which is called "WOW" (Wellness on Wheels). The strategy was to take exercise to people's homes rather than waiting for them to use existing leisure facilities.

Walking School Bus edit

 
Třebíč-Vnitřní Město, Třebíč District, Vysočina Region, Czechia, Karlovo náměstí
 
Restaurant U Lišků, originally a country house, U trojského zámku str. 35/9 Troja. At the entrance to the Prague Zoo.

Walking buses have students walking to their designated stops, but they are then chaperoned to school by people walking on foot, rather than taking the school bus.

Video games edit

Several video game companies have developed ways to mix the two spectrums of electronic and exercise. Dance Dance Revolution, perhaps the most well-known exercise game, had players earn points by dancing to a beat. Players earn more points for tapping dance pads on the dancing platform at precise times and in proper sequences, thereby incorporating physical exercise.[citation needed]

In 2006 Nintendo introduced the Wii, a next generation game console the features a motion sensitive controller.

Sedentary behaviour edit

According to Biddle (2007) the social influence of technology, such as electronic gaming and screen time are the main causes towards actions of sedentary behaviour, with TV viewing and computer use being the most prevalent benefactors. However, sedentary behaviours, are not simply "opposites" of physical activity, but instead suggests that they "displace time that would otherwise be used for physical activity".[19]

Children and adolescents, are deemed most at risk for these sedentary behaviours with estimates for youth TV viewing being around "1.8 - 2.8 hours per day". Also Biddle (2007) states that for young people "television took up 40% of the time spent in the five most prevalent sedentary behaviours during the week and 37% at weekends" which stresses the negative impact of these social and technological advances on physical activity and fitness behaviour.[19]

The study Hardy, Dobbins, Booth, Denney, Wilson and Okely (2006) stated that, "there are powerful societal inducements to be inactive and there are increasing concerns of an emerging preference among young people to adopt sedentary lifestyles." Based on Australian adolescents, results were received which indicated that many young people are engaging in sedentary behaviour, with grade 6's spending 34 hours per week, grade 8's with 41 hours and grade 10's with 45 hours.[20]

Another study Zimmit (2010), found a strong, positive association between sedentary behaviours, in particular TV viewing, with obesity and low participation levels. The study stated that in the last 20 years (1990-2010), the prevalence of obesity in Australia has more than doubled. It stresses "public health initiatives targeting the reduction of sedentary pursuits may be necessary to curb the obesity epidemic."[21]

According to the study Martínez-González, Alfredo Martínez, Hu, Gibney, & Kearney, (1999) "Obesity is the most prevalent nutrition-related problem in Western societies, and it is associated with an important burden of suffering in terms of mortality, morbidity and psychological stress". The study stresses that people suffering from obesity place a severe burden on health care systems, and that obesity could become the leading public health problem in the next century.[22]

See also edit

References edit

  1. ^ "World Health Organization". World Health Organization. Retrieved 2015-04-16.
  2. ^ Haslam DW, James WP (2005). "Obesity". Lancet. 366 (9492): 1197–209. doi:10.1016/S0140-6736(05)67483-1. PMID 16198769. S2CID 208791491.
  3. ^ Puhl, Rebecca M.; Heuer, Chelsea A. (June 2010). "Obesity Stigma: Important Considerations for Public Health". American Journal of Public Health. 100 (6): 1019–1028. doi:10.2105/AJPH.2009.159491. PMC 2866597. PMID 20075322.
  4. ^ Muennig, P (2008). "The body politic: the relationship between stigma and obesity-associated disease". BMC Public Health. 8: 128. doi:10.1186/1471-2458-8-128. PMC 2386473. PMID 18426601.
  5. ^ Phelan, S. M.; Burgess, D. J.; Yeazel, M. W.; Hellerstedt, W. L.; Griffin, J. M.; van Ryn, M. (April 2015). "Impact of weight bias and stigma on quality of care and outcomes for patients with obesity". Obesity Reviews. 16 (4): 319–326. doi:10.1111/obr.12266. PMC 4381543. PMID 25752756.
  6. ^ Schafer, Markus H.; Ferraro, Kenneth F. (2011-03-01). "The Stigma of Obesity Does Perceived Weight Discrimination Affect Identity and Physical Health?". Social Psychology Quarterly. 74 (1): 76–97. doi:10.1177/0190272511398197. ISSN 0190-2725. S2CID 43671749.
  7. ^ Puhl, Rebecca M.; King, Kelly M. (2013). "Weight discrimination and bullying". Best Practice & Research Clinical Endocrinology & Metabolism. 27 (2): 117–127. doi:10.1016/j.beem.2012.12.002. PMID 23731874.
  8. ^ Sweeting, Helen; Wright, Charlotte; Minnis, Helen (November 2005). "Psychosocial correlates of adolescent obesity, 'slimming down' and 'becoming obese'". Journal of Adolescent Health. 37 (5): 409.e9–409.e17. doi:10.1016/j.jadohealth.2005.01.008. PMID 16227129.
  9. ^ a b Weber, Nicole E. (2020-07-02). "'Beyond Recognition': Exploring Transformation, Witnessing & Subjectivity in Fitness Social Media". Parallax. 26 (3): 318–338. doi:10.1080/13534645.2021.1883300. ISSN 1353-4645. S2CID 234365482.
  10. ^ a b Ehrlén, Veera; Villi, Mikko (2020-05-26). "'I shared the joy': sport-related social support and communality on Instagram". Visual Studies. 35 (2–3): 260–272. doi:10.1080/1472586X.2020.1790304. ISSN 1472-586X. S2CID 221839086.
  11. ^ Al-Eisa, Einas; Al-Rushud, Asma; Alghadir, Ahmad; Anwer, Shahnawaz; Al-Harbi, Bashayer; Al-Sughaier, Noha; Al-Yoseef, Noha; Al-Otaibi, Reem; Al-Muhaysin, Hanadi Ali (2016). "Effect of Motivation by "Instagram" on Adherence to Physical Activity among Female College Students". BioMed Research International. 2016: 1–6. doi:10.1155/2016/1546013. ISSN 2314-6133. PMC 4789360. PMID 27034927.
  12. ^ Stanford, Fatima Cody; Salles, Arghavan (2021). "Physician Athletes Promoting Physical Fitness Through Social Media During the COVID-19 Pandemic". Health Promotion Practice. 22 (3): 295–297. doi:10.1177/1524839920988261. ISSN 1524-8399. PMC 9908367. PMID 33467929.
  13. ^ a b c d e Chatzopoulou, Elena; Filieri, Raffaele; Dogruyol, Shannon Arzu (2020). "Instagram and body image: Motivation to conform to the "Instabod" and consequences on young male wellbeing". Journal of Consumer Affairs. 54 (4): 1270–1297. doi:10.1111/joca.12329. ISSN 0022-0078. S2CID 224935478.
  14. ^ a b Ganson, Kyle T.; Nguyen, Lynn; Ali, Ali Raza Hasan; Hallward, Laura; Jackson, Dylan B.; Testa, Alexander; Nagata, Jason M. (2023). "Associations between social media use, fitness- and weight-related online content, and use of legal appearance- and performance-enhancing drugs and substances". Eating Behaviors. 49: 101736. doi:10.1016/j.eatbeh.2023.101736. PMID 37141803. S2CID 258414760.
  15. ^ a b Wood, Hannah C.; Watson, Paula M. (November 2023). "Critical consumers: How do young women with high autonomous motivation for exercise navigate fitness social media?". Computers in Human Behavior. 148: 107893. doi:10.1016/j.chb.2023.107893. S2CID 260073704.
  16. ^ a b c Stanford, Fatima Cody; Salles, Arghavan (2021). "Physician Athletes Promoting Physical Fitness Through Social Media During the COVID-19 Pandemic". Health Promotion Practice. 22 (3): 295–297. doi:10.1177/1524839920988261. ISSN 1524-8399. PMC 9908367. PMID 33467929.
  17. ^ "Australian Bureau of Statistics". Australian Bureau of Statistics. 2013-07-18. Retrieved 2015-04-16.
  18. ^ Fenton, Mark (November 2005). "Battling America's Epidemic of Physical Inactivity: Building More Walkable, Livable Communities". Journal of Nutrition Education and Behavior. 37: S115–S120. doi:10.1016/s1499-4046(06)60211-x. PMID 16246279.
  19. ^ a b Biddle, Stuart J.H. (December 2007). "Sedentary Behavior". American Journal of Preventive Medicine. 33 (6): 502–504. doi:10.1016/j.amepre.2007.08.002. PMID 18022068.
  20. ^ Hardy, Louise L.; Dobbins, Timothy; Booth, Michael L.; Denney-Wilson, Elizabeth; D.kely, Anthony (December 2006). "Sedentary behaviours among Australian adolescents". Australian and New Zealand Journal of Public Health. 30 (6): 534–540. doi:10.1111/j.1467-842x.2006.tb00782.x. PMID 17209269. S2CID 25795604.
  21. ^ Zimmet, Paul (October 2010). "Obesity in Australia: People, politics and prevention". Obesity Research & Clinical Practice. 4: S86. doi:10.1016/j.orcp.2010.09.168.
  22. ^ Martínez-González, M Á; Alfredo Martínez, J; Hu, F B; Gibney, M J; Kearney, J (November 1999). "Physical inactivity, sedentary lifestyle and obesity in the European Union". International Journal of Obesity. 23 (11): 1192–1201. doi:10.1038/sj.ijo.0801049. PMID 10578210. S2CID 19226437.

Further reading edit

  • Chiang, Tser-chyun (1998). An analysis of leisure physical activity behaviors and determinants among adolescents in Taiwan (Thesis). OCLC 40893131.
  • Berlin, Jaime E; Storti, Kristi L; Brach, Jennifer S (1 August 2006). "Using Activity Monitors to Measure Physical Activity in Free-Living Conditions". Physical Therapy. 86 (8): 1137–1145. doi:10.1093/ptj/86.8.1137. PMID 16879047.
  • Armstrong, Carrie (1 December 2006). "Practice Guidelines". American Family Physician. 74 (11): 1970–1976.
  • Hughes, Susan L.; Prohaska, Thomas R.; Rimmer, James H.; Heller, Tamar (2005). "Promoting Physical Activity Among Older People". Generations: Journal of the American Society on Aging. 29 (2): 54–59. JSTOR 26555385. OCLC 8570353343.
  • Lee, Won-Young; Jung, Chan-Hee; Park, Jeong-Sik; Rhee, Eun-Jung; Kim, Sun-Woo (January 2005). "Effects of smoking, alcohol, exercise, education, and family history on the metabolic syndrome as defined by the ATP III". Diabetes Research and Clinical Practice. 67 (1): 70–77. doi:10.1016/j.diabres.2004.05.006. PMID 15620436.
  • Perkins-Porras, Linda; Whitehead, Daisy L; Steptoe, Andrew (1 October 2006). "Patients' beliefs about the causes of heart disease: relationships with risk factors, sex and socio-economic status". European Journal of Cardiovascular Prevention and Rehabilitation. 13 (5): 724–730. doi:10.1097/01.hjr.0000216551.81882.11. PMID 17001211. S2CID 20994079.
  • Rossi, Giuseppe; Moretti, Roberto; Pirone, Monica; Locatelli, Walter (November 2004). "Lotta alla sedentarietà: a scuola con il Piedibus" [Promoting physical activity: going to school by the Piedibus (walking school bus)] (PDF). Epidemiologia e Prevenzione (in Italian). 28 (6): 346–9. PMID 15792157.
  • Ryan, Kevin W.; Card-Higginson, Paula; McCarthy, Suzanne G.; Justus, Michelle B.; Thompson, Joseph W. (July 2006). "Arkansas Fights Fat: Translating Research Into Policy To Combat Childhood And Adolescent Obesity". Health Affairs. 25 (4): 992–1004. doi:10.1377/hlthaff.25.4.992. PMID 16838410.
  • Shortt, Janet (December 2004). "Obesity-A Public Health Dilemma". AORN Journal. 80 (6): 1069–1078. doi:10.1016/S0001-2092(06)60686-8. PMID 15641661.
  • Wellman, Nancy S; Friedberg, Barbara (December 2002). "Causes and consequences of adult obesity: health, social and economic impacts in the United States: Obesity: Health, social and economic impacts". Asia Pacific Journal of Clinical Nutrition. 11: S705–S709. doi:10.1046/j.1440-6047.11.s8.6.x. S2CID 72041226.

External links edit

  • President's Council on Physical Fitness and Sports