Dataset Information

Income and Physical Activity among Adults: Evidence from Self-Reported and Pedometer-Based Physical Activity Measurements.

ABSTRACT: This study examined the relationship between income and physical activity by using three measures to illustrate daily physical activity: the self-reported physical activity index for leisure-time physical activity, pedometer-based total steps for overall daily physical activity, and pedometer-based aerobic steps that reflect continuous steps for more than 10 min at a time. The study population consisted of 753 adults from Finland (mean age 41.7 years; 64% women) who participated in 2011 in the follow-up of the ongoing Young Finns study. Ordinary least squares models were used to evaluate the associations between income and physical activity. The consistency of the results was explored by using register-based income information from Statistics Finland, employing the instrumental variable approach, and dividing the pedometer-based physical activity according to weekdays and weekend days. The results indicated that higher income was associated with higher self-reported physical activity for both genders. The results were robust to the inclusion of the control variables and the use of register-based income information. However, the pedometer-based results were gender-specific and depended on the measurement day (weekday vs. weekend day). In more detail, the association was positive for women and negative or non-existing for men. According to the measurement day, among women, income was positively associated with aerobic steps despite the measurement day and with totals steps measured on the weekend. Among men, income was negatively associated with aerobic steps measured on weekdays. The results indicate that there is an association between income and physical activity, but the association is gender-specific and depends on the measurement type of physical activity.

SUBMITTER: Kari JT

PROVIDER: S-EPMC4552741 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature

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Income and Physical Activity among Adults: Evidence from Self-Reported and Pedometer-Based Physical Activity Measurements.

Kari Jaana T JT Pehkonen Jaakko J Hirvensalo Mirja M Yang Xiaolin X Hutri-Kähönen Nina N Raitakari Olli T OT Tammelin Tuija H TH

PloS one 20150828 8

This study examined the relationship between income and physical activity by using three measures to illustrate daily physical activity: the self-reported physical activity index for leisure-time physical activity, pedometer-based total steps for overall daily physical activity, and pedometer-based aerobic steps that reflect continuous steps for more than 10 min at a time. The study population consisted of 753 adults from Finland (mean age 41.7 years; 64% women) who participated in 2011 in the f ...[more]

PMID: 26317865

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Project description:Physical literacy (PL) is a comprehensive concept covering motivation, confidence, physical competence, knowledge and understanding of individuals' physical activity throughout life. PL has three overlapping domains, such as: an affective, a physical and a cognitive domain. So far, PL has not been measured in the adults and no complete measurement has been developed to date.ObjectivesThe aim of this scoping review was to review existing self-reported instruments measuring different elements of domains of PL.MethodWe reviewed Education Research Complete, Cochrane, Medline, ScienceDirect, Scopus and SPORTDiscus. The reporting followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews guidelines. Studies were coded using a thematic framework, which was based on the three domains of PL. The eligibility criteria were as follows: (1) age groups between 18 and 60 years; (2) meta-analyses, reviews or quantitative studies focusing on the measurement of at least one of the three domains of PL and (3) instrument that was self-reported. We finalised search on 1 August 2021 RESULTS: In total, 67 articles were identified as studies describing instruments reflecting the three domains of PL. Following full-text reading, 21 articles that met our inclusion criteria were included. Several instruments of relevance to PL are available for assessing motivation, confidence and the physical domain. However, few instruments exist that measure elements of the cognitive domain.ConclusionThis review showed that a range of existing and validated instruments exists, covering two out of the three domains of PL, namely affective and physical domains. However, for the knowledge domain no valid measurement tools could be found. This scoping review has identified gaps in the research (namely the cognitive domain) and also a gap in the research as no measures that consider the inter-relatedness of the three domains (holistic nature of the concept).

Project description:BackgroundComputer-tailored physical activity (PA) interventions delivered through the Internet represent a promising and appealing method to promote PA at a population level. However, personalized advice is mostly provided based on subjectively measured PA, which is not very accurate and might result in the delivery of advice that is not credible or effective. Therefore, an innovative computer-tailored PA advice was developed, based on objectively pedometer-measured PA.ObjectiveThe study aim was to evaluate the effectiveness of a computer-tailored, pedometer-based PA intervention in working adults.MethodsParticipants (≥18 years) were recruited between May and December 2012 from eight Flemish workplaces. These workplaces were allocated randomly to an intervention or control group. Intervention group participants (n=137) received (1) a booklet with information on how to increase their steps, (2) a non-blinded pedometer, and (3) an Internet link to request computer-tailored step advice. Control group participants (n=137) did not receive any of the intervention components. Self-reported and pedometer-based PA were assessed at baseline (T0), and 1 month (T1) and 3 months (T2) months post baseline. Repeated measures analyses of covariance were used to examine intervention effects for both the total sample and the at-risk sample (ie, adults not reaching 10,000 steps a day at baseline).ResultsThe recruitment process resulted in 274 respondents (response rate of 15.1%) who agreed to participate, of whom 190 (69.3%) belonged to the at-risk sample. Between T0 and T1 (1-month post baseline), significant intervention effects were found for participants' daily step counts in both the total sample (P=.004) and the at-risk sample (P=.001). In the at-risk sample, the intervention effects showed a daily step count increase of 1056 steps in the intervention group, compared to a decrease of 258 steps in the control group. Comparison of participants' self-reported PA revealed a significant intervention effect for time spent walking in the at-risk sample (P=.02). Intervention effects were still significant 3 months post baseline for participants' daily step counts in both the total sample (P=.03) and the at-risk sample (P=.02); however, self-reported PA differences were no longer significant.ConclusionsA computer-tailored, pedometer-based PA intervention was effective in increasing both pedometer-based and self-reported PA levels, mainly in the at-risk participants. However, more effort should be devoted to recruit and retain participants in order to improve the public health impact of the intervention.Trial registrationClinicalTrials.gov: NCT02080585; https://clinicaltrials.gov/ct2/show/NCT02080585 (Archived by WebCite at http://www.webcitation.org/6VvQnRQSy).

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Dataset Information

Income and Physical Activity among Adults: Evidence from Self-Reported and Pedometer-Based Physical Activity Measurements.

Publications

Income and Physical Activity among Adults: Evidence from Self-Reported and Pedometer-Based Physical Activity Measurements.

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