| Title |
Psychiatric symptoms and leptin in obese patients who were bariatric surgery candidates
|
|---|---|
| Published in |
Neuropsychiatric Disease and Treatment, August 2015
|
| DOI | 10.2147/ndt.s88075 |
| Pubmed ID | |
| Authors |
Te-Chang Changchien, Chi-Ming Tai, Chih-Kun Huang, Chia-Chang Chien, Yung-Chieh Yen |
| Abstract |
There is a significant relationship between obesity and common mental symptoms (depression and anxiety symptoms). But the association between depression (or anxiety symptoms) and serum leptin is still unclear and controversial, despite the growing body of evidence supporting the existence of "leptin resistance" in obese persons. So we investigated whether common mental symptoms, obesity, and the interactive effect of these two factors have a relationship with leptin in obese patients who were candidates for bariatric surgery. In all, 139 participants (mean age: 31.4 years, standard deviation: 9.3 years, 73.4% female) were enrolled at an obesity treatment center in southern Taiwan. Serum leptin levels and body mass index (BMI) were measured. The Chinese Health Questionnaire and Taiwanese Depression Questionnaire were administered. The mean BMI of our participants was 39.4 kg/m(2) (±6.8), and the mean leptin level was 24.5 ng/mL (±9.4). In the multivariate regression models, Chinese Health Questionnaire-by-BMI and Taiwanese Depression Questionnaire-by-BMI interaction terms remained significant predictors of leptin level (β=0.16, P<0.0001; β=0.04, P<0.0001, respectively), after adjustment for age, sex, and history of hypertension, diabetes, and hyperlipidemia, despite the inverse correlation between Chinese Health Questionnaire (or Taiwanese Depression Questionnaire) and leptin. In addition, female patients had significantly higher leptin levels than male patients. The present findings confirmed that the relationship between common mental symptoms and leptin is modulated by obesity in severely obese patients. Future studies should focus on further measures of leptin receptors or signaling on the basis of these interactive effects in psychiatry. |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 40 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 20% |
| Student > Bachelor | 6 | 15% |
| Student > Doctoral Student | 4 | 10% |
| Student > Ph. D. Student | 3 | 8% |
| Professor | 2 | 5% |
| Other | 7 | 18% |
| Unknown | 10 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 12 | 30% |
| Nursing and Health Professions | 6 | 15% |
| Engineering | 3 | 8% |
| Psychology | 3 | 8% |
| Neuroscience | 2 | 5% |
| Other | 2 | 5% |
| Unknown | 12 | 30% |
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 23 August 2015.
All research outputs
#22,756,649
of 25,371,288 outputs
Outputs from Neuropsychiatric Disease and Treatment
#2,584
of 3,132 outputs
Outputs of similar age
#236,277
of 276,409 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#91
of 92 outputs
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