The Roles of Behavioral and Implementation Intentions in Changing Physical Activity in Young Children With Low Socioeconomic Status

2010 ◽  
Vol 32 (3) ◽  
pp. 359-376 ◽  
Author(s):  
Christopher J. Armitage ◽  
Christine A. Sprigg
Keyword(s):  
Physical Activity ◽  
Socioeconomic Status ◽  
Low Socioeconomic Status ◽  
Implementation Intentions ◽  
Good Reason ◽  
Implementation Intention ◽  
Low Socioeconomic ◽  
Past Behavior ◽  
Future Behavior ◽  
Children’S Physical Activity

There is a dearth of research examining physical activity in children aged 6–10 years with low socioeconomic status, despite the fact there is good reason to suspect this is a critical period when physical activity habits are created. Physical activity and theory of planned behavior variables were measured at three time points, and children (N = 77) randomized to the experimental condition were additionally asked to form an implementation intention. Intention was a potent mediator of the past behavior–future behavior relationship and the implementation intention intervention significantly increased physical activity compared with the control condition. The findings suggest that physical activity can be increased in children aged 6–10 years with low socioeconomic status and that implementation intentions might enhance the effectiveness of children’s physical activity programs.

Accelerometer-measured physical activity among adolescents in a multicultural area characterized by low socioeconomic status

2016 ◽  
Vol 30 (3) ◽  
Author(s):  
Andreas Fröberg ◽  
Christel Larsson ◽  
Christina Berg ◽  
Cecilia Boldemann ◽  
Anders Raustorp
Keyword(s):  
Physical Activity ◽  
Socioeconomic Status ◽  
Low Socioeconomic Status ◽  
Sedentary Time ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Physically Active ◽  
Low Socioeconomic ◽  
Organized Sports ◽  
Wear Time

Abstract Purpose: The aim of this cross-sectional study was to describe and analyze accelerometer-measured sedentary time and physical activity (PA) among adolescents in a multicultural area characterized by low socioeconomic status (SES). Method: Seventh-graders (n=114 (girls n=66), mean age: 12.8±0.5 y) were recruited from three schools in a multicultural area of the city of Gothenburg, Sweden. Sedentary time and PA were measured with ActiGraph™ accelerometers. Result: Of total wear-time, 70 (±6)% was sedentary, with girls being more sedentary than boys. Girls had less light PA (LPA) and moderate-to-vigorous PA (MVPA) than boys. Similar patterns were shown during in-school and out-of-school hours. During wear-time, 53% had a mean of ≥60 min of MVPA per day, but only 6% of the girls and 24% of the boys were sufficiently physically active every day. Girls had more sedentary bouts of ≥10 min and fewer MVPA bouts of ≥5 min per day than boys. Those who participated in organized sports spent a mean of 15 more minutes of MVPA per day compared to those who did not. No association was observed between body mass index (BMI) and sedentary time and PA. Conclusion: Only a few adolescents from a Swedish multicultural area characterized by low SES met the PA recommendations every day, and girls were more sedentary and less physically active than boys. Adolescents involved in organized sports had more of MVPA per day than their non-involved peers. Sedentary time and PA were not related to BMI.

Aging Expectations are Associated With Physical Activity and Health Among Older Adults of Low Socioeconomic Status

2015 ◽  
Vol 23 (2) ◽  
pp. 180-186 ◽  
Author(s):  
Shilpa Dogra ◽  
Ban Al-Sahab ◽  
James Manson ◽  
Hala Tamim
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Socioeconomic Status ◽  
Low Socioeconomic Status ◽  
Short Form ◽  
Physical Activity Participation ◽  
Activity Participation ◽  
Linear Regression Models ◽  
Low Socioeconomic ◽  
Aging Expectations

The purpose of the current study was to determine whether aging expectations (AE) are associated with physical activity participation and health among older adults of low socioeconomic status (SES). A cross-sectional analysis of a sample of 170 older adults (mean age 70.9 years) was conducted. Data on AE, physical activity, and health were collected using the 12 item Expectations Regarding Aging instrument, the Healthy Physical Activity Participation Questionnaire, and the Short Form-36, respectively. Adjusted linear regression models showed significant associations between AE and social functioning, energy/vitality, mental health, and self-rated general health, as well as physical activity. These results suggest that AE may help to better explain the established association between low SES, low physical activity uptake, and poor health outcomes among older adults.

scholarly journals Perceptions and measurement of playtime physical activity in English primary school children: The influence of socioeconomic status

2017 ◽  
Vol 25 (2) ◽  
pp. 438-455 ◽  
Author(s):  
Nicola McWhannell ◽  
Carmel Triggs ◽  
Samantha Moss
Keyword(s):  
Physical Activity ◽  
Socioeconomic Status ◽  
Primary School ◽  
Low Socioeconomic Status ◽  
School Children ◽  
Vigorous Physical Activity ◽  
Primary School Children ◽  
Depth Information ◽  
High Socioeconomic Status ◽  
Low Socioeconomic

Children in areas of low socioeconomic status might face barriers to physical activity during school playtime in comparison to their high socioeconomic status counterparts. However, limited research within the area currently prevents evidence-based interventions from being targeted appropriately. This exploratory study aimed to assess and compare playtime physical activity levels and perceptions of physical activity in primary school children from two schools of different socioeconomic status. Fifty-three children wore an accelerometer during playtime for three school days while 33 children participated in single-sex focus groups to elicit their experiences of physical activity during playtime. Results revealed that children from the low socioeconomic status school spent more time in sedentary activities ( P = 0.001) and spent less time in moderate and moderate to vigorous physical activity ( P = 0.001) than children from the high socioeconomic status school. Despite some between-school similarities in their perceptions of physical activity, differences resonated in their reasons for taking part in physical activity, perceptions of the play environment and ideas to improve physical activity. These findings contribute to current research and provide in-depth information from active users of the play environment that could be useful to inform new interventions for schools of varying socioeconomic status.

scholarly journals Associations Of Total And Leisure Time Physical Activity With Inflammation In Low Socioeconomic Status Women

2007 ◽  
Vol 39 (Supplement) ◽  
pp. S310-S311
Author(s):  
Kathleen Y. Wolin ◽  
Laura A. Colangelo ◽  
Robert Chatterton ◽  
Barbara Ainsworth ◽  
Susan M. Gapstur
Keyword(s):  
Physical Activity ◽  
Socioeconomic Status ◽  
Low Socioeconomic Status ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Low Socioeconomic

scholarly journals Effective elements of Dutch care-physical activity initiatives for low socioeconomic status adults

2019 ◽  
Vol 29 (Supplement_4) ◽  
Author(s):  
L S Mulderij ◽  
F Wolters ◽  
M A E Wagemakers ◽  
K T Verkooijen
Keyword(s):  
Physical Activity ◽  
At Risk ◽  
Health Promotion ◽  
Socioeconomic Status ◽  
Concept Mapping ◽  
Low Socioeconomic Status ◽  
Intersectoral Collaboration ◽  
Low Ses ◽  
Low Socioeconomic ◽  
Lifestyle Related Diseases

Abstract Background In care-physical activity (care-PA) initiatives, primary care and sports collaborate to stimulate PA among adults at risk of lifestyle related diseases. Preliminary results of Dutch care-PA initiatives for low socioeconomic status (SES) adults indicate that these initiatives successfully lower participants’ body weight and improve quality of life. However, insight into elements that make these initiatives work is lacking. Therefore, this research aims to unravel the effective elements of care-PA initiatives for low SES adults. Methods Concept Mapping (CM) was used as tool to identify and cluster the effective elements. Nineteen Dutch health promotion experts individually listed as many elements as they felt were of importance to the effectiveness of care-PA initiatives. Next, each expert was asked to cluster the elements and to score them on importance. Then, CS Global MAX software was used for multidimensional scaling and a hierarchical cluster analysis to develop a cluster map. Finally, the cluster map was presented, discussed, and refined in a group meeting with 11 of the experts. Results The experts came up with 113 unique effective elements of care-PA initiatives for low SES adults, clustered into 11 clusters: 1) approach of professionals, 2) barriers experienced during the programme, 3) local embedding, 4) customisation of the programme to target population, 5) social support, 6) methods within the programme, 7) competencies of professionals, 8) accessibility of the programme, 9) actions within the programme, 10) recruitment of participants, and 11) intersectoral collaboration. Conclusions A valuable overview of the effective elements of care-PA initiatives for low SES adults was created. The results can be used to improve existing care-PA initiatives and to develop new ones targeted at low SES adults at risk of lifestyle related diseases. This may eventually help to reduce health inequalities between low and high SES adults. Key messages Concept mapping has been a useful group-based tool to obtain information on the effective elements of care-PA initiatives, in which individual input from health promotion experts has been collected. The overview of effective elements of care-PA initiatives for low SES adults as presented in this study is valuable for the development of care-PA initiatives specifically targeted at low SES adults.

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