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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Prevalence of comorbidities in obese New Zealand children and adolescents at enrolment in a community‐based obesity programme
|
|---|---|
| Published in |
Journal of Paediatrics & Child Health, September 2016
|
| DOI | 10.1111/jpc.13315 |
| Pubmed ID | |
| Authors |
Yvonne C Anderson, Lisa E Wynter, Katharine F Treves, Cameron C Grant, Joanna M Stewart, Tami L Cave, Cervantee EK Wild, José GB Derraik, Wayne S Cutfield, Paul L Hofman |
| Abstract |
The aim of this study was to describe the characteristics at enrolment of children and adolescents referred to an obesity programme and to determine how the prevalence of comorbidities differed in Indigenous versus non-Indigenous children. Participants were residents of a semi-rural region of New Zealand (NZ). Eligibility was defined by a body mass index (BMI) of ≥98th percentile or >91st centile with weight-related comorbidities. Fasting blood, medical and physical assessments were obtained. During the recruitment period from January 2012 to August 2014, 239 participants, aged 4.8-16.8 years, undertook assessment. Average BMI standard deviation score was 3.09 (standard deviation (SD) = 0.60, range 1.52-5.34 SD). The majority of participants were of either Maori (NZ's indigenous people (45%)) or NZ European (45%) ethnicity; 29% of participants were from the most deprived quintile of household deprivation. Maori participants were more likely than NZ Europeans to have a mother who smoked during pregnancy (52% vs. 28%, P = 0.001), a family history of type 2 diabetes (66% vs. 53%, P = 0.04), acanthosis nigricans on examination (58% vs. 20%, P < 0.0001), a low serum high-density lipoprotein cholesterol (27% vs. 14%, P = 0.03) or high serum triglyceride (38% vs. 24%, P = 0.03) concentration. The unique aspect of this study was the ability to recruit high levels of Maori participants and those from most deprived areas, indicating a high level of acceptability for these target groups. Comorbidities were prevalent in this cohort of overweight/obese school-aged children. While there were some differences in comorbidity prevalence between Maori and NZ Europeans, the overall clinical picture in our cohort, irrespective of ethnicity, was of concern. |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| New Zealand | 4 | 57% |
| Australia | 1 | 14% |
| Ireland | 1 | 14% |
| Unknown | 1 | 14% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 86% |
| Science communicators (journalists, bloggers, editors) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 77 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 13% |
| Researcher | 8 | 10% |
| Student > Postgraduate | 7 | 9% |
| Student > Bachelor | 7 | 9% |
| Student > Master | 5 | 6% |
| Other | 14 | 18% |
| Unknown | 26 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 19 | 25% |
| Nursing and Health Professions | 8 | 10% |
| Psychology | 4 | 5% |
| Agricultural and Biological Sciences | 3 | 4% |
| Biochemistry, Genetics and Molecular Biology | 3 | 4% |
| Other | 14 | 18% |
| Unknown | 26 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 73. 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 07 February 2017.
All research outputs
#588,034
of 25,457,858 outputs
Outputs from Journal of Paediatrics & Child Health
#41
of 3,371 outputs
Outputs of similar age
#10,806
of 315,302 outputs
Outputs of similar age from Journal of Paediatrics & Child Health
#2
of 46 outputs
Altmetric has tracked 25,457,858 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,371 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one has done particularly well, scoring higher than 98% 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 315,302 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 96% of its contemporaries.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.