| Title |
Psychosocial Factors in the Relationship between Socioeconomic Status and Cardiometabolic Risk: the HCHS/SOL Sociocultural Ancillary Study
|
|---|---|
| Published in |
Annals of Behavioral Medicine, January 2017
|
| DOI | 10.1007/s12160-016-9871-z |
| Pubmed ID | |
| Authors |
Jessica L. McCurley, Frank Penedo, Scott C. Roesch, Carmen R. Isasi, Mercedes Carnethon, Daniela Sotres-Alvarez, Neil Schneiderman, Patricia Gonzalez, Diana A. Chirinos, Alvaro Camacho, Yanping Teng, Linda C. Gallo |
| Abstract |
U.S. Hispanics/Latinos display a high prevalence of metabolic syndrome (MetSyn), a group of co-occurring cardiometabolic risk factors (abdominal obesity, impaired fasting glucose, dyslipidemia, elevated blood pressure) associated with higher cardiovascular disease and mortality risk. Low socioeconomic status (SES) is associated with higher risk for MetSyn in Hispanics/Latinos, and psychosocial factors may play a role in this relationship. This cross-sectional study examined psychosocial factors in the association of SES and MetSyn components in 4,996 Hispanic/Latino adults from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL) Sociocultural Ancillary Study. MetSyn components were measured at the baseline examination. Participants completed interviews to determine psychosocial risks (e.g., depression) and resources (e.g., social support) within 9 months of baseline (< 4 months in 72.6% of participants). Confirmatory factor analysis (CFA) and structural equation modeling (SEM) were used to identify latent constructs and examine associations. Participant mean age was 41.7 years (SE = 0.4) and 62.7% were female. CFA identified single latent factors for SES and psychosocial indicators, and three factors for MetSyn [blood pressure, lipids, metabolic factors]. SEMs showed that lower SES was related to MetSyn factors indirectly through higher psychosocial risk/lower resources (Y-Bχ(2) (df = 420) = 4412.90, p < .05, RMSEA = .042, SRMR = .051). A statistically significant effect consistent with mediation was found from lower SES to higher metabolic risk (glucose/waist circumference) via psychosocial risk/resource variables (Mackinnon's 95% asymmetric CI = -0.13 to -0.02). SES is related to metabolic variables indirectly through psychosocial factors in U.S. Hispanics/Latinos of diverse ancestries. |
X Demographics
The data shown below were collected from the profiles of 3 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 | 1 | 33% |
| Canada | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 80 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 14% |
| Student > Master | 9 | 11% |
| Student > Doctoral Student | 8 | 10% |
| Student > Bachelor | 8 | 10% |
| Researcher | 6 | 8% |
| Other | 16 | 20% |
| Unknown | 22 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 16 | 20% |
| Psychology | 14 | 18% |
| Nursing and Health Professions | 9 | 11% |
| Social Sciences | 5 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 4% |
| Other | 4 | 5% |
| Unknown | 29 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 February 2017.
All research outputs
#13,181,030
of 22,950,943 outputs
Outputs from Annals of Behavioral Medicine
#892
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Outputs of similar age
#203,048
of 419,163 outputs
Outputs of similar age from Annals of Behavioral Medicine
#18
of 26 outputs
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