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Physical activity levels and determinants of change in young adults: a longitudinal panel study.

Zimmermann-Sloutskis D, Wanner M, Zimmermann E, Martin BW - Int J Behav Nutr Phys Act (2010)

Bottom Line: Identifying determinants that are associated with low levels of physical activity and with changes in physical activity levels will help to develop specific prevention strategies.The most important findings were the strong effects of sport club membership on general physical activity.The correlation between sport club membership and exercise was not surprising in its nature, but in its strength.

View Article: PubMed Central - HTML - PubMed

Affiliation: Swiss Federal Institute of Sport Magglingen, Hauptstrasse, 2532 Magglingen, Switzerland.

ABSTRACT

Background: There is growing concern about physical inactivity in adolescents and young adults. Identifying determinants that are associated with low levels of physical activity and with changes in physical activity levels will help to develop specific prevention strategies. The present study describes the prevalence and potential determinants of physical activity behavior and behavior changes of young adults. The study is based on the Swiss Household Panel (SHP), a longitudinal study assessing social changes in a representative sample of Swiss households since 1999.

Methods: Data is collected yearly using computer-assisted telephone interviews. Information is obtained from each household member over 14 years of age. Participants between 14 and 24 years entering the SHP between 1999 and 2006 were included (N = 3,068). "Inactive" was defined as less than 1 day/week of at least 30 minutes of moderate physical activity, "no sport" as exercising less than once a week. Age, gender, nationality, linguistic region, household income, education, membership in a sport club, reading, and Internet use were included as potential determinants of physical activity behavior and behavior change.

Results: In both young men and young women, the prevalence of inactivity, "no sport", and non-membership in a sport club was increasing with age. Women were less active than men of the same age. From one wave to the following, 11.1% of young men and 12.1% of young women became active, and 11.9% of men and 13.7% of women became inactive, respectively (pooled data over all eight waves). Non-membership in a sport club was the strongest predictor for "no sport" (OR(men )6.7 [4.9-8.9]; OR(women )8.1 [5.7-11.4]), but also for being inactive (OR 4.6 [3.5-6.0]; 4.6 [3.3-6.4]). Leaving a sport club (OR 7.8 [4.4-14.0]; 11.9 [5.9-24.1]) and remaining non-member (OR 7.8 [4.7-12.9]; 12.4 [6.4-24.1]) were the strongest predictors of becoming "no sport". Effects for becoming inactive were similar, though smaller (OR 5.9 [3.4-10.5] and 5.1 [2.7-9.6] for leaving a club, OR 5.1 [3.1-8.4] and 6.9 [4.0-11.8] for remaining non-member).

Conclusions: The most important findings were the strong effects of sport club membership on general physical activity. The correlation between sport club membership and exercise was not surprising in its nature, but in its strength.

No MeSH data available.


Prevalence of changes in physical activity behavior by gender and wave, SHP 1999-2006. Legend: W1 = 1999, W2 = 2000, W3 = 2001, W4 = 2002, W5 = 2003, W6 = 2004, W7 = 2005, W8 = 2006. There were significant differences between waves in the distribution of individuals within the four categories of changes in "no sport" in men (p < 0.001) and of changes in "inactive" in women (p = 0.03). In both genders the distribution of changes in "completely inactive" was significantly different between waves (p < 0.01).
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Figure 1: Prevalence of changes in physical activity behavior by gender and wave, SHP 1999-2006. Legend: W1 = 1999, W2 = 2000, W3 = 2001, W4 = 2002, W5 = 2003, W6 = 2004, W7 = 2005, W8 = 2006. There were significant differences between waves in the distribution of individuals within the four categories of changes in "no sport" in men (p < 0.001) and of changes in "inactive" in women (p = 0.03). In both genders the distribution of changes in "completely inactive" was significantly different between waves (p < 0.01).

Mentions: Fig. 1 shows the proportions of changes in inactive, "no sport", and completely inactive between any two consecutive non-missing waves for young men and young women. For all waves, the proportion of physically active individuals who remained active (remaining active, remaining active in sport, remaining somewhat active) were higher in men than in women. The proportion of physically inactive individuals who remained inactive (remaining inactive, remaining "no sport", remaining completely inactive) were higher in women than in men. The overall spontaneous changes from active to inactive and vice versa were relatively stable over waves and similar in men and women, ranging mostly from around 10% to 15%.


Physical activity levels and determinants of change in young adults: a longitudinal panel study.

Zimmermann-Sloutskis D, Wanner M, Zimmermann E, Martin BW - Int J Behav Nutr Phys Act (2010)

Prevalence of changes in physical activity behavior by gender and wave, SHP 1999-2006. Legend: W1 = 1999, W2 = 2000, W3 = 2001, W4 = 2002, W5 = 2003, W6 = 2004, W7 = 2005, W8 = 2006. There were significant differences between waves in the distribution of individuals within the four categories of changes in "no sport" in men (p < 0.001) and of changes in "inactive" in women (p = 0.03). In both genders the distribution of changes in "completely inactive" was significantly different between waves (p < 0.01).
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC2821311&req=5

Figure 1: Prevalence of changes in physical activity behavior by gender and wave, SHP 1999-2006. Legend: W1 = 1999, W2 = 2000, W3 = 2001, W4 = 2002, W5 = 2003, W6 = 2004, W7 = 2005, W8 = 2006. There were significant differences between waves in the distribution of individuals within the four categories of changes in "no sport" in men (p < 0.001) and of changes in "inactive" in women (p = 0.03). In both genders the distribution of changes in "completely inactive" was significantly different between waves (p < 0.01).
Mentions: Fig. 1 shows the proportions of changes in inactive, "no sport", and completely inactive between any two consecutive non-missing waves for young men and young women. For all waves, the proportion of physically active individuals who remained active (remaining active, remaining active in sport, remaining somewhat active) were higher in men than in women. The proportion of physically inactive individuals who remained inactive (remaining inactive, remaining "no sport", remaining completely inactive) were higher in women than in men. The overall spontaneous changes from active to inactive and vice versa were relatively stable over waves and similar in men and women, ranging mostly from around 10% to 15%.

Bottom Line: Identifying determinants that are associated with low levels of physical activity and with changes in physical activity levels will help to develop specific prevention strategies.The most important findings were the strong effects of sport club membership on general physical activity.The correlation between sport club membership and exercise was not surprising in its nature, but in its strength.

View Article: PubMed Central - HTML - PubMed

Affiliation: Swiss Federal Institute of Sport Magglingen, Hauptstrasse, 2532 Magglingen, Switzerland.

ABSTRACT

Background: There is growing concern about physical inactivity in adolescents and young adults. Identifying determinants that are associated with low levels of physical activity and with changes in physical activity levels will help to develop specific prevention strategies. The present study describes the prevalence and potential determinants of physical activity behavior and behavior changes of young adults. The study is based on the Swiss Household Panel (SHP), a longitudinal study assessing social changes in a representative sample of Swiss households since 1999.

Methods: Data is collected yearly using computer-assisted telephone interviews. Information is obtained from each household member over 14 years of age. Participants between 14 and 24 years entering the SHP between 1999 and 2006 were included (N = 3,068). "Inactive" was defined as less than 1 day/week of at least 30 minutes of moderate physical activity, "no sport" as exercising less than once a week. Age, gender, nationality, linguistic region, household income, education, membership in a sport club, reading, and Internet use were included as potential determinants of physical activity behavior and behavior change.

Results: In both young men and young women, the prevalence of inactivity, "no sport", and non-membership in a sport club was increasing with age. Women were less active than men of the same age. From one wave to the following, 11.1% of young men and 12.1% of young women became active, and 11.9% of men and 13.7% of women became inactive, respectively (pooled data over all eight waves). Non-membership in a sport club was the strongest predictor for "no sport" (OR(men )6.7 [4.9-8.9]; OR(women )8.1 [5.7-11.4]), but also for being inactive (OR 4.6 [3.5-6.0]; 4.6 [3.3-6.4]). Leaving a sport club (OR 7.8 [4.4-14.0]; 11.9 [5.9-24.1]) and remaining non-member (OR 7.8 [4.7-12.9]; 12.4 [6.4-24.1]) were the strongest predictors of becoming "no sport". Effects for becoming inactive were similar, though smaller (OR 5.9 [3.4-10.5] and 5.1 [2.7-9.6] for leaving a club, OR 5.1 [3.1-8.4] and 6.9 [4.0-11.8] for remaining non-member).

Conclusions: The most important findings were the strong effects of sport club membership on general physical activity. The correlation between sport club membership and exercise was not surprising in its nature, but in its strength.

No MeSH data available.