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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Lifestyle correlates of overweight in adults: a hierarchical approach (the SPOTLIGHT project)
|
|---|---|
| Published in |
International Journal of Behavioral Nutrition and Physical Activity, November 2016
|
| DOI | 10.1186/s12966-016-0439-x |
| Pubmed ID | |
| Authors |
Célina Roda, Hélène Charreire, Thierry Feuillet, Joreintje D. Mackenbach, Sofie Compernolle, Ketevan Glonti, Helga Bárdos, Harry Rutter, Martin McKee, Johannes Brug, Ilse De Bourdeaudhuij, Jeroen Lakerveld, Jean-Michel Oppert |
| Abstract |
Obesity-related lifestyle behaviors usually co-exist but few studies have examined their simultaneous relation with body weight. This study aimed to identify the hierarchy of lifestyle-related behaviors associated with being overweight in adults, and to examine subgroups so identified. Data were obtained from a cross-sectional survey conducted across 60 urban neighborhoods in 5 European urban regions between February and September 2014. Data on socio-demographics, physical activity, sedentary behaviors, eating habits, smoking, alcohol consumption, and sleep duration were collected by questionnaire. Participants also reported their weight and height. A recursive partitioning tree approach (CART) was applied to identify both main correlates of overweight and lifestyle subgroups. In 5295 adults, mean (SD) body mass index (BMI) was 25.2 (4.5) kg/m(2), and 46.0 % were overweight (BMI ≥25 kg/m(2)). CART analysis showed that among all lifestyle-related behaviors examined, the first identified correlate was sitting time while watching television, followed by smoking status. Different combinations of lifestyle-related behaviors (prolonged daily television viewing, former smoking, short sleep, lower vegetable consumption, and lower physical activity) were associated with a higher likelihood of being overweight, revealing 10 subgroups. Members of four subgroups with overweight prevalence >50 % were mainly males, older adults, with lower education, and living in greener neighborhoods with low residential density. Sedentary behavior while watching television was identified as the most important correlate of being overweight. Delineating the hierarchy of correlates provides a better understanding of lifestyle-related behavior combinations which may assist in targeting preventative strategies aimed at tackling obesity. |
X Demographics
The data shown below were collected from the profiles of 72 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 | 14 | 19% |
| France | 8 | 11% |
| Netherlands | 7 | 10% |
| Australia | 6 | 8% |
| United States | 5 | 7% |
| Ireland | 2 | 3% |
| Spain | 2 | 3% |
| Belgium | 1 | 1% |
| Italy | 1 | 1% |
| Other | 7 | 10% |
| Unknown | 19 | 26% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 33 | 46% |
| Scientists | 24 | 33% |
| Practitioners (doctors, other healthcare professionals) | 13 | 18% |
| Science communicators (journalists, bloggers, editors) | 2 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 142 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 142 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 20 | 14% |
| Student > Bachelor | 18 | 13% |
| Student > Ph. D. Student | 14 | 10% |
| Researcher | 12 | 8% |
| Student > Doctoral Student | 8 | 6% |
| Other | 27 | 19% |
| Unknown | 43 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 25 | 18% |
| Nursing and Health Professions | 21 | 15% |
| Social Sciences | 14 | 10% |
| Sports and Recreations | 10 | 7% |
| Agricultural and Biological Sciences | 5 | 4% |
| Other | 18 | 13% |
| Unknown | 49 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 43. 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 09 August 2017.
All research outputs
#973,051
of 25,587,485 outputs
Outputs from International Journal of Behavioral Nutrition and Physical Activity
#317
of 2,129 outputs
Outputs of similar age
#17,972
of 318,084 outputs
Outputs of similar age from International Journal of Behavioral Nutrition and Physical Activity
#11
of 28 outputs
Altmetric has tracked 25,587,485 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,129 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 29.5. This one has done well, scoring higher than 85% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 318,084 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.