| Title |
Factors associated with the quality of life of mothers of preterm infants with very low birth weight: a 3-year follow-up study
|
|---|---|
| Published in |
Quality of Life Research, November 2016
|
| DOI | 10.1007/s11136-016-1456-6 |
| Pubmed ID | |
| Authors |
M. R. S. Moura, C. G. A. Araújo, M. M. Prado, H. B. M. S. Paro, R. M. C. Pinto, V. O. S. Abdallah, T. M. S. Mendonça, C. H. M. Silva |
| Abstract |
To analyze possible factors associated with the quality of life (QoL) of mothers of preterm infants with very low birth weight (VLBW) during the first 3 years after delivery. The World Health Organization Quality of Life (WHOQOL)-bref scores were compared and correlated with maternal and infant-related sociodemographic and clinical variables at maternal discharge (T0) and at 6 (T1), 12 (T2), 24 (T3), and 36 (T4) months after delivery. Multiple linear regression models were fitted to investigate the effect of these variables on the mothers' QoL. The WHOQOL-BREF physical domain scores were higher at T1 and T2 compared to T0 (p = 0.013). Maternal variables that contributed to maternal QoL scores (p < 0.05) were stable marital union (b = 13.60; T0), family income (b = -12.75; T3), Evangelical religion (b = 8.11; T4), and beck depression inventory (BDI) score (-1.42 ≤ b ≤ -0.36; T0, T1, T2, T3, and T4). Infants' variables that most affected maternal QoL (p < 0.05) were posthemorrhagic hydrocephalus (PHH) (-18.84 ≤ b ≤ -10.05; T1, T2, and T4), bronchopulmonary dysplasia (BPD) (b = -7.41; T2), female gender (b = 8.09; T2), and SNAPPE severity score (b = -0.23; T3). Mothers of preterm infants with VLBW exhibited transient improvements in physical well-being during the first year after delivery. The presence of depressive symptoms in mothers and the diagnosis of PHH or BPD were negatively associated with QoL. Social, religious, and economic aspects were also important factors for the QoL of mothers of preterm infants with VLBW. |
X Demographics
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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 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 111 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 11 | 10% |
| Student > Bachelor | 10 | 9% |
| Researcher | 7 | 6% |
| Student > Ph. D. Student | 7 | 6% |
| Student > Doctoral Student | 7 | 6% |
| Other | 18 | 16% |
| Unknown | 51 | 46% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 25 | 23% |
| Nursing and Health Professions | 12 | 11% |
| Psychology | 10 | 9% |
| Agricultural and Biological Sciences | 3 | 3% |
| Social Sciences | 3 | 3% |
| Other | 6 | 5% |
| Unknown | 52 | 47% |
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 02 April 2017.
All research outputs
#18,540,642
of 22,962,258 outputs
Outputs from Quality of Life Research
#2,069
of 2,910 outputs
Outputs of similar age
#304,346
of 416,336 outputs
Outputs of similar age from Quality of Life Research
#39
of 66 outputs
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