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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Nutritional status and correlated socio-economic factors among preschool and school children in plantation communities, Sri Lanka
|
|---|---|
| Published in |
BMC Public Health, May 2017
|
| DOI | 10.1186/s12889-017-4311-y |
| Pubmed ID | |
| Authors |
Lahiru Sandaruwan Galgamuwa, Devika Iddawela, Samath D. Dharmaratne, G.L.S. Galgamuwa |
| Abstract |
Child malnutrition is a major public health concern worldwide, leading to higher morbidity and mortality. It is mostly preventable through public health and economic development. The aim of the present study was to determine socio-economic factors associated with nutritional status among children in plantation communities, Sri Lanka. A cross-sectional study was performed among preschool and school going children in three rural communities of Sri Lanka from January to August 2014. Demographic and household characteristics were documented and anthropometric measurements were collected to calculate weight-for-age (WAZ), height-for-age (HAZ) and BMI-for-age (BAZ). Anthroplus, epiinfo and SPSS versions were used for the analysis of data. A total of 547 children (aged 1-15 years, mean 7.0 ± 3.6 years, 53% female) participated in the study. 35.6%, 26.9% and 32.9% of children were underweight, stunting and wasting respectively. Undernutrition was more common in primary school children. Maternal employment, high number of siblings, high birth orders and female children were significantly associated with undernutrition among preschool children. Living in small houses, large number of family members, low monthly income and maternal employment were significantly associated with undernutrition among school children. Child undernutrition is a major public health concern in the plantation sector, Sri Lanka. Health education programs among the study population could be effective for solving the problem. |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 593 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 593 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 85 | 14% |
| Student > Master | 81 | 14% |
| Lecturer | 35 | 6% |
| Researcher | 28 | 5% |
| Student > Postgraduate | 26 | 4% |
| Other | 82 | 14% |
| Unknown | 256 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 118 | 20% |
| Medicine and Dentistry | 91 | 15% |
| Social Sciences | 27 | 5% |
| Agricultural and Biological Sciences | 24 | 4% |
| Biochemistry, Genetics and Molecular Biology | 10 | 2% |
| Other | 60 | 10% |
| Unknown | 263 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 27 September 2017.
All research outputs
#17,916,739
of 23,003,906 outputs
Outputs from BMC Public Health
#12,549
of 14,986 outputs
Outputs of similar age
#221,889
of 310,806 outputs
Outputs of similar age from BMC Public Health
#208
of 233 outputs
Altmetric has tracked 23,003,906 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,986 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.0. This one is in the 13th percentile – i.e., 13% of its peers scored the same or lower than it.
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 310,806 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 233 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.