| Title |
Occurrence of multiple mental health or substance use outcomes among bisexuals: a respondent-driven sampling study
|
|---|---|
| Published in |
BMC Public Health, June 2016
|
| DOI | 10.1186/s12889-016-3173-z |
| Pubmed ID | |
| Authors |
Greta R. Bauer, Corey Flanders, Melissa A. MacLeod, Lori E. Ross |
| Abstract |
Bisexual populations have higher prevalence of depression, anxiety, suicidality and substance use than heterosexuals, and often than gay men or lesbians. The co-occurrence of multiple outcomes has rarely been studied. Data were collected from 405 bisexuals using respondent-driven sampling. Weighted analyses were conducted for 387 with outcome data. Multiple outcomes were defined as 3 or more of: depression, anxiety, suicide ideation, problematic alcohol use, or polysubstance use. Among bisexuals, 19.0 % had multiple outcomes. We did not find variation in raw frequency of multiple outcomes across sociodemographic variables (e.g. gender, age). After adjustment, gender and sexual orientation identity were associated, with transgender women and those identifying as bisexual only more likely to have multiple outcomes. Social equity factors had a strong impact in both crude and adjusted analysis: controlling for other factors, high mental health/substance use burden was associated with greater discrimination (prevalence risk ratio (PRR) = 5.71; 95 % CI: 2.08, 15.63) and lower education (PRR = 2.41; 95 % CI: 1.06, 5.49), while higher income-to-needs ratio was protective (PRR = 0.44; 0.20, 1.00). Mental health and substance use outcomes with high prevalence among bisexuals frequently co-occurred. We find some support for the theory that these multiple outcomes represent a syndemic, defined as co-occurring and mutually reinforcing adverse outcomes driven by social inequity. |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 38% |
| Canada | 2 | 25% |
| Unknown | 3 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 75% |
| Scientists | 2 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 135 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | <1% |
| Unknown | 134 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 20 | 15% |
| Student > Ph. D. Student | 19 | 14% |
| Student > Bachelor | 18 | 13% |
| Student > Doctoral Student | 15 | 11% |
| Researcher | 10 | 7% |
| Other | 16 | 12% |
| Unknown | 37 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 30 | 22% |
| Social Sciences | 29 | 21% |
| Medicine and Dentistry | 13 | 10% |
| Nursing and Health Professions | 12 | 9% |
| Business, Management and Accounting | 1 | <1% |
| Other | 6 | 4% |
| Unknown | 44 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 September 2020.
All research outputs
#2,232,998
of 22,877,793 outputs
Outputs from BMC Public Health
#2,538
of 14,917 outputs
Outputs of similar age
#42,323
of 345,199 outputs
Outputs of similar age from BMC Public Health
#55
of 217 outputs
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