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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Determinants of inequalities in the quality of Brazilian diet: trends in 12-year population-based study (2003–2015)
|
|---|---|
| Published in |
International Journal for Equity in Health, June 2018
|
| DOI | 10.1186/s12939-018-0784-2 |
| Pubmed ID | |
| Authors |
Aline Veroneze de Mello, Flávia Mori Sarti, Jaqueline Lopes Pereira, Moisés Goldbaum, Chester Luiz Galvão Cesar, Maria Cecilia Goi Porto Alves, Regina Mara Fisberg |
| Abstract |
Recent studies have explored the influence of socioeconomic inequalities on the diet quality. However, there is lack of evidence regarding the level of inequalities in dietary quality and its main contributing factors from population-based follow-up studies. The primary objective of this study was to investigate the level and the determinants of inequalities in diet quality in a representative sample of adolescents, adults and older adults resident in São Paulo, Brazil. Data from the Health Survey of São Paulo (ISA-Capital) were analyzed for 2003 (n = 2398), 2008 (n = 1662) and 2015 (n = 1742) surveys. Information on food consumption was obtained through 24-h dietary recall, and diet quality was assessed based on the Revised Brazilian Healthy Eating Index (BHEI-R). The descriptive variables were compared using 95% confidence interval. The scores of BHEI-R and its components were compared across age groups and year. The association between socioeconomic inequalities and diet quality was based on the estimation of concentration index. We observed that the BHEI-R scores gradually improved over 12-years, with older adults showing the greatest improvement. The increase in overall population score was observed for total fruits, whole fruits, whole grains, oils and sodium. The main contributor to socioeconomic inequality in diet quality in 2003 was ethnic group, and in 2008 and 2015, it was per capita household income; age was a persistent factor of inequality in the population over the years. Concentration indices indicated that lower income individuals had higher BHEI-R scores in 2003; however, there was a shift in favor of higher income individuals in 2008 and 2015. Changes in the patterns of determination of inequalities according to age, ethnic group or income during the period analyzed show the existence of ongoing process of contribution of demographic and socioeconomic factors in the diet quality of individuals in a large urban center. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 85 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 16 | 19% |
| Student > Bachelor | 8 | 9% |
| Student > Doctoral Student | 6 | 7% |
| Student > Ph. D. Student | 5 | 6% |
| Researcher | 4 | 5% |
| Other | 14 | 16% |
| Unknown | 32 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 11 | 13% |
| Medicine and Dentistry | 8 | 9% |
| Agricultural and Biological Sciences | 5 | 6% |
| Social Sciences | 5 | 6% |
| Psychology | 4 | 5% |
| Other | 15 | 18% |
| Unknown | 37 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 08 June 2018.
All research outputs
#4,136,601
of 23,088,369 outputs
Outputs from International Journal for Equity in Health
#766
of 1,933 outputs
Outputs of similar age
#80,854
of 329,367 outputs
Outputs of similar age from International Journal for Equity in Health
#29
of 53 outputs
Altmetric has tracked 23,088,369 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,933 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.4. This one has gotten more attention than average, scoring higher than 59% 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 329,367 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.