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Mendeley readers
Attention Score in Context
| Title |
Maternal predictors related to quality of life in pregnant women in the Northeast of Brazil
|
|---|---|
| Published in |
Health and Quality of Life Outcomes, May 2018
|
| DOI | 10.1186/s12955-018-0917-8 |
| Pubmed ID | |
| Authors |
Cinthia Gondim Pereira Calou, Mirna Fontenele de Oliveira, Francisco Herlânio Costa Carvalho, Paula Renata Amorim Lessa Soares, Raylla Araújo Bezerra, Sâmua Kelen Mendes de Lima, Franz Janco Antezana, Priscila de Souza Aquino, Régia Christina Moura Barbosa Castro, Ana Karina Bezerra Pinheiro |
| Abstract |
Gestation is a period that can positively or negatively influence the life of a woman in the pregnancy-puerperal cycle. Thus, evaluating the quality of life of this population can redirect the implementation of innovative practices, with the goal of making them more effective and practical or the promotion of humanized care. The present study aimed to evaluate the predictors that influence the health-related quality of life of low-risk pregnant women, as well as to describe the main areas affected in the quality of life of pregnant women. A correlational, quantitative and cross-sectional study was carried out in two public units that provide prenatal care services and a private unit in the city of Fortaleza, a municipality in the Northeast of Brazil. The sample consisted of 261 pregnant women who were interviewed from September to November 2014. The collection instruments were a questionnaire covering sociodemographic, obstetric and quality of life variables, in addition to the Brazilian version of the Mother-Generated Index (MGI). The data were compiled and analyzed through the Statistical Package for the Social Sciences (SPSS) software, version 20.0. A descriptive analysis was performed through the application of Pearson's chi-square test, Fisher's exact test and one-way ANOVA. Maternal predictors for the quality of life of pregnant woman were identified through a multivariate analysis/multiple regression. The response rate was 100%, corresponding to 261 respondents. Occupation, parity, partner support, marital status and persons with whom the women live were the predictors that positively interfered in the quality of life of pregnant women. In contrast, gestational age, type of housing, occupation, use of illicit drugs, non-receipt of partner support and maternal age were the predictors that negatively influenced quality of life. Our results indicate that happiness to become a mother and body image were areas with the greatest positive and negative influence on health-related quality of life, which suggests being relevant aspects in the planning and implementation of actions aimed at its improvement. |
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 167 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 167 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 19 | 11% |
| Student > Bachelor | 16 | 10% |
| Student > Ph. D. Student | 12 | 7% |
| Lecturer | 8 | 5% |
| Other | 7 | 4% |
| Other | 26 | 16% |
| Unknown | 79 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 33 | 20% |
| Medicine and Dentistry | 13 | 8% |
| Social Sciences | 5 | 3% |
| Agricultural and Biological Sciences | 4 | 2% |
| Psychology | 4 | 2% |
| Other | 18 | 11% |
| Unknown | 90 | 54% |
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 31 May 2018.
All research outputs
#3,979,701
of 23,083,773 outputs
Outputs from Health and Quality of Life Outcomes
#398
of 2,187 outputs
Outputs of similar age
#77,736
of 331,171 outputs
Outputs of similar age from Health and Quality of Life Outcomes
#36
of 75 outputs
Altmetric has tracked 23,083,773 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,187 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done well, scoring higher than 77% 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 331,171 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 76% of its contemporaries.
We're also able to compare this research output to 75 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.