| Title |
Change in health and social factors in mid-adulthood and corresponding changes in leisure-time physical inactivity in a prospective cohort
|
|---|---|
| Published in |
International Journal of Behavioral Nutrition and Physical Activity, September 2018
|
| DOI | 10.1186/s12966-018-0723-z |
| Pubmed ID | |
| Authors |
Snehal M. Pinto Pereira, Chris Power |
| Abstract |
To identify whether changes in adult health and social factors are associated with simultaneous changes in inactivity. Health, social factors and leisure-time inactivity (activity frequency < 1/week) were self-reported at 33y and 50y in the 1958 British birth cohort (N = 12,271). Baseline (33y) health and social factors and also patterns of change in factors 33y-to-50y were related to inactivity 33y-to-50y (never inactive, persistently inactive, deteriorating to inactivity, or improving from inactivity) using multinomial logistic regression. Approximately 31% were inactive at 33y and 50y; 35% changed status 33y-to-50y (17% deteriorating to inactivity, 18% improving from inactivity). Baseline poor health and obesity were associated with subsequent (33y-to-50y) inactivity; e.g. for poor health, relative risk ratios (RRRs) for deteriorating to inactivity (vs never inactive) and improving from inactivity (vs persistently inactive) were 1.38(1.16,1.64) and 0.77(0.63,0.94) respectively. Adverse changes in health and weight were associated with simultaneous adverse changes in inactivity; e.g. worsening health (vs always good/excellent health) was associated with higher risk of deteriorating to inactivity (RRR:2.20(1.85,2.62)) and lower risk of improving from inactivity (RRR:0.61(0.49,0.77)). However, improving health and weight loss were not associated with improving from inactivity. Worsening self-efficacy 33y-to-50y was associated with lower risk of improving from inactivity; there was no association between improving self-efficacy and inactivity change. Downward social mobility was not associated with deteriorating to or improving from inactivity. Changes in depression symptom level, marriage/co-habitation or parenthood 33y-to-50y were not associated with inactivity changes. No associations were observed for employment. Associated changes in mid-life health factors with deleterious inactivity changes, highlight the importance of maintaining health, weight and self-efficacy across adulthood to deter inactivity. |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 33% |
| Singapore | 1 | 11% |
| United States | 1 | 11% |
| Unknown | 4 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 33% |
| Scientists | 3 | 33% |
| Practitioners (doctors, other healthcare professionals) | 2 | 22% |
| Science communicators (journalists, bloggers, editors) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 61 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 11% |
| Researcher | 7 | 11% |
| Student > Bachelor | 7 | 11% |
| Student > Ph. D. Student | 5 | 8% |
| Student > Doctoral Student | 3 | 5% |
| Other | 11 | 18% |
| Unknown | 21 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Sports and Recreations | 10 | 16% |
| Psychology | 7 | 11% |
| Medicine and Dentistry | 6 | 10% |
| Nursing and Health Professions | 5 | 8% |
| Unspecified | 3 | 5% |
| Other | 8 | 13% |
| Unknown | 22 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 October 2018.
All research outputs
#2,335,088
of 23,577,654 outputs
Outputs from International Journal of Behavioral Nutrition and Physical Activity
#872
of 1,974 outputs
Outputs of similar age
#50,178
of 339,034 outputs
Outputs of similar age from International Journal of Behavioral Nutrition and Physical Activity
#21
of 33 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,974 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 29.0. This one has gotten more attention than average, scoring higher than 55% of its peers.
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We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.