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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Impact of periodontal conditions on the quality of life of pregnant women: a cross-sectional study
|
|---|---|
| Published in |
Health and Quality of Life Outcomes, May 2015
|
| DOI | 10.1186/s12955-015-0267-8 |
| Pubmed ID | |
| Authors |
Hai-Xia Lu, Wei Xu, May Chun Mei Wong, Tian-You Wei, Xi-Ping Feng |
| Abstract |
Studies have been rarely conducted to provide a comprehensive perspective of pregnant women with the intention to investigate the relationships between periodontal conditions and oral health-related quality of life (OHRQoL). As such, this study aimed to describe the OHRQoL of pregnant women in Shanghai, China and to investigate the relationships between periodontal conditions and OHRQoL of pregnant women. A cross-sectional study was conducted amongst pregnant women in all stages of pregnancy in Shanghai, China. Clinical examinations were performed to assess periodontal conditions, including tooth loss, visible plaque index, bleeding on probing, probing pocket depth and clinical attachment level. The OHRQoL of pregnant women was determined using the Oral Health Impact Profile (OHIP-14, Chinese version). Information regarding maternal characteristics, socio-demographic background and health-related behaviours was also obtained from the participants through the structured questionnaires. A total of 512 pregnant women (mean age = 27.3 ± 4.0 years)participated in the survey,giving a response rate of 91.4 %. The mean gestational age was 19 weeks (SD = 8.2). The mean and the median OHIP-14 scores were 7.92 (SD = 6.84) and 6, respectively. The mean number of negative impact items (extent) was 0.20 (SD = 0.82). Approximately 10 % of pregnant women reported at least one item with 'fairly often' or 'very often' (prevalence). Results of multivariable analyses showed that periodontal conditions was not significantly associated with three scoring formats of OHRQoL (severity, extent and prevalence of impact) after adjustment for pregnancy-related variables and possible confounders (all p > 0.05). However, frequency of nausea-vomiting was found to be significantly associated with severity of impacts (p = 0.012). Utilization of dental services, age and tooth loss were the significant variables to the extent of negative impacts (all p < 0.05). While no significant variable was related with prevalence of negative impacts (p > 0.05). Pregnant women with different trimesters showed similar impact of oral disease on their OHRQoL in Shanghai, China. Periodontal health status have no impact on their OHRQoL in the fully adjusted models. Their OHRQoL was associated with early pregnancy reaction, utilisation of dental services, age and tooth loss. |
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 149 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Colombia | 1 | <1% |
| Unknown | 148 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 24 | 16% |
| Student > Master | 20 | 13% |
| Student > Doctoral Student | 9 | 6% |
| Professor | 6 | 4% |
| Other | 5 | 3% |
| Other | 25 | 17% |
| Unknown | 60 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 65 | 44% |
| Nursing and Health Professions | 8 | 5% |
| Social Sciences | 4 | 3% |
| Business, Management and Accounting | 3 | 2% |
| Agricultural and Biological Sciences | 2 | 1% |
| Other | 9 | 6% |
| Unknown | 58 | 39% |
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 28 May 2015.
All research outputs
#18,411,569
of 22,807,037 outputs
Outputs from Health and Quality of Life Outcomes
#1,671
of 2,159 outputs
Outputs of similar age
#192,580
of 266,679 outputs
Outputs of similar age from Health and Quality of Life Outcomes
#24
of 46 outputs
Altmetric has tracked 22,807,037 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,159 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 8th percentile – i.e., 8% 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 266,679 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
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 is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.