Psychosocial risk factors for the long-term disease outcome in rheumatoid arthritis patients

2002 ◽  
Author(s):  
A.W.M. Evers ◽  
F.W. Kraaimaat ◽  
R. Geenen ◽  
J.W.G. Jacobs ◽  
W. van Lankveld ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Risk Factors ◽  
Psychosocial Risk Factors ◽  
Psychosocial Risk ◽  
Disease Outcome

scholarly journals 2358

2017 ◽  
Vol 1 (S1) ◽  
pp. 27-27
Author(s):  
Kelly M. Bower ◽  
Deborah Gross ◽  
Margaret Ensminger ◽  
Jana Goins ◽  
Phyllis Sharps
Keyword(s):  
Risk Factors ◽  
Pregnant Women ◽  
Psychosocial Risk Factors ◽  
Psychosocial Risk ◽  
Baltimore City ◽  
Medical Risk ◽  
Medical Risk Factors ◽  
Community Based Programs ◽  
History Of

OBJECTIVES/SPECIFIC AIMS: The purpose of this study is to understand factors that are associated with identifying which eligible pregnant women in Baltimore City accept a referral for HV services. Taking into account demographic and obstetrical variables, we will examine the extent to which 13 medical and 14 psychosocial risk factors differentiate pregnant women who (1) accepted a HV referral, (2) could not be located, or (3) refused a HV referral. METHODS/STUDY POPULATION: In this observational study, we will use secondary data on 8172 pregnant women collected by Health Care Access Maryland (HCAM) between 2014 and 2016. HCAM is the single point of entry for all pregnant women in Baltimore City into HV. HV eligibility includes being a pregnant woman, residing in Baltimore City, being uninsured or receiving Medicaid, and being identified by a prenatal care provider who completed an assessment profile of the woman’s medical and psychosocial risk (prenatal risk assessment). The outcome variable, HV engagement status (ie, accepted referral, could not be located, refused referral), will be based on HCAM discharge codes. Medical risk factors include BMI, hypertension, anemia, asthma, sickle cell, diabetes, vaginal bleeding, genetic risk, sexually transmitted disease, last dental visit >1 year ago, and taking prescription medications. Psychosocial risk factors include current pregnancy unintended; <1 year since last delivery; late entry to prenatal care (>20 wk gestation); mental, physical, or developmental disability; history of abuse or violence within past 6 months; tobacco use; alcohol use; illegal substance use within the past 6 months; resides in home built before 1978; homelessness; lack of social/emotional support; exposure to long-term stress; lack of transportation; and history of depression or mental illness. All risk factor variables are categorical (yes/no). Control variables will include demographics (eg, age, race, ethnicity, marital status, educational level) and OB history (eg, history of preterm labor, history of fetal or infant death). We will conduct descriptive statistics to characterize the sample and look for interrelatedness among the risk factors. Where there is a high level of inter-relatedness we will consider combining or omitting variables to reduce redundancy. We will use multinomial regression to examine which medical and psychological factors are associated with referral category. RESULTS/ANTICIPATED RESULTS: We hypothesize that (a) women with more medical risk factors will be more likely to accept a referral for HV services, (b) women with more psychosocial risk factors will be more likely to refuse HV or not be located, and (c) certain risk factors, such as depression/mental illness, history of abuse/violence, illegal substance use, homelessness, and exposure to long-term stress will be the strongest predictors of not accepting HV referral and/or not being located. DISCUSSION/SIGNIFICANCE OF IMPACT: The translation of effective randomized control trials (RCTs) to successful implementation in community-based programs can be challenging. Community-based programs serving low-income communities typically lack the same resources available to recruit and retain participants in RCTs. And, exclusion criteria applied in RCTs are often not applied in real world implementation which can open program to participants with more complex social and medical characteristics. Findings from this study will inform the translation of evidence-based HV programs into real world settings through an enhanced understanding of the characteristics of women who are not engaged by HV programs. This will inform development of improved outreach methods that may more effectively engage at-risk women for prenatal HV services.

scholarly journals The relation between psychosocial risk factors and cause-specific long-term sickness absence

2014 ◽  
Vol 24 (3) ◽  
pp. 428-433 ◽  
Author(s):  
H. Janssens ◽  
E. Clays ◽  
B. De Clercq ◽  
A. Casini ◽  
D. De Bacquer ◽  
...  
Keyword(s):  
Risk Factors ◽  
Sickness Absence ◽  
Psychosocial Risk Factors ◽  
Psychosocial Risk

scholarly journals Work-Related Psychosocial Risk Factors for Long-Term Sick Leave

2014 ◽  
Vol 56 (8) ◽  
pp. 787-793 ◽  
Author(s):  
Cecilie Aagestad ◽  
Håkon A. Johannessen ◽  
Tore Tynes ◽  
Hans Magne Gravseth ◽  
Tom Sterud
Keyword(s):  
Risk Factors ◽  
Sick Leave ◽  
Psychosocial Risk Factors ◽  
Psychosocial Risk ◽  
Work Related

Suicide Attempts Among Depressed Inpatients with Depressive Disorder in a Malaysian Sample

Crisis ◽  
2011 ◽  
Vol 32 (5) ◽  
pp. 283-287 ◽  
Author(s):  
L. F. Chan ◽  
T. Maniam ◽  
A. S. Shamsul
Keyword(s):  
Risk Factors ◽  
Suicidal Ideation ◽  
Suicide Attempt ◽  
Depressive Disorder ◽  
Suicide Attempts ◽  
Psychosocial Risk Factors ◽  
Psychosocial Risk ◽  
Life Event ◽  
Axis I ◽  
A Current

Background: Depressed inpatients constitute a high-risk population for suicide attempts. Aims: To describe the interactions of clinical and psychosocial risk factors influencing suicide attempts among a Malaysian sample of depressed inpatients. Methods: Seventy-five subjects were diagnosed with a depressive disorder according to the Structured Clinical Interview for DSM-IV Axis I Disorders-Clinical Version (SCID-CV). Data on suicide attempts, suicidal ideation (Scale for Suicidal Ideation, SSI), depression severity (Beck’s Depression Inventory, BDI), recent life-event changes (Social Readjustment Rating Scale, SRRS), sociodemographic and other relevant clinical factors were collected. Results: A third of the subjects presented after a current suicide attempt. Significant factors for a current suicide attempt were race, religion, recent life-event changes, suicidal ideation, and alcohol use disorder. Independent predictive risk factors for a current suicide attempt were Chinese race, recent marital separation, major mortgage or loans, and being newly diagnosed with depression. Any recent change in personal habits was shown to be a protective factor against current suicide attempt. Age and gender were nonsignificant factors. Conclusions: The findings are generally consistent with existing studies and highlight the role of psychosocial risk factors.

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