| Title |
Factors associated with decreased bone mineral density in postmenopausal women with schizophrenia
|
|---|---|
| Published in |
Clinical Interventions in Aging, February 2016
|
| DOI | 10.2147/cia.s100274 |
| Pubmed ID | |
| Authors |
Ying Liang, Jian Huang, Jing-bin Tian, Yuan-yuan Cao, Guo-ling Zhang, Chun-gang Wang, Ying Cao, Jian-rong Li |
| Abstract |
This study examined the risk factors for decreased bone mineral density (BMD) in postmenopausal women with schizophrenia. Cluster sampling method was adopted in this large-sample, cross-sectional study. A total of 219 postmenopausal female inpatients with schizophrenia were selected and interviewed in Beijing. The average age of the patients was 60.4±7.0 years. Clinical assessment instruments included the Positive and Negative Syndrome Scale (PANSS) and a questionnaire with detailed general information and disease-related investigations. Laboratory measurements included prolactin (PRL), estradiol, progesterone, thyroid stimulating hormone, FT3, and FT4. BMD testing was performed by dual-energy X-ray absorptiometry. The prevalence of osteoporosis or osteopenia was 66.2% (n=145). Decreased BMD was associated with age, illness duration, therapeutic dose (equivalent chlorpromazine dose), treatment duration, PANSS-negative scores, body mass index (BMI), daily exercises (min/d), drinking (unit/wk), PRL, and estradiol. Multiple logistic regression analysis revealed that age, treatment duration, PANSS-negative score, BMI, and PRL were significantly associated with decreased BMD. Prevalence of BMD loss was higher in Chinese postmenopausal women with schizophrenia compared to the normal BMD group. A combination of demographic and clinical factors play important roles in determining decreased BMD, including older age, longer treatment duration, more PANSS-negative scores, higher BMI, and higher PRL level. |
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 % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 49 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 20% |
| Student > Master | 8 | 16% |
| Student > Bachelor | 7 | 14% |
| Researcher | 3 | 6% |
| Student > Doctoral Student | 2 | 4% |
| Other | 6 | 12% |
| Unknown | 13 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 20% |
| Nursing and Health Professions | 7 | 14% |
| Psychology | 5 | 10% |
| Biochemistry, Genetics and Molecular Biology | 3 | 6% |
| Sports and Recreations | 3 | 6% |
| Other | 6 | 12% |
| Unknown | 15 | 31% |
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 05 March 2016.
All research outputs
#17,432,668
of 25,576,275 outputs
Outputs from Clinical Interventions in Aging
#1,258
of 1,973 outputs
Outputs of similar age
#248,377
of 407,504 outputs
Outputs of similar age from Clinical Interventions in Aging
#27
of 45 outputs
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