Trauma and Posttraumatic Stress Disorder in a Rural Primary Care Population in South Africa

The aim of this study was to assess trauma events experienced and PTSD among 250 consecutive rural primary clinic patients (all Black Africans, 24% male and 76% female; M age 31.1 yr., SD = 11.8; range 18–65 years) in South Africa using the Trauma History Questionnaire and the PTSD Checklist-Civilian Version, interview administered. Results indicated that the mean number of traumatic events reported was 3.5 ( SD = 2.9, range = 0–19) and was significantly higher among men ( M = 4.9, SD = 3.5) than women ( M = 3.0, SD = 2.6). Among the most frequently endorsed traumas among men were seeing someone seriously injured or killed (60%), serious accident (43.3%), and seeing dead bodies (43.3%), and among women natural disaster (mostly floods) (51.6%), news of a serious injury, life-threatening illness or unexpected death of someone close (31.1%), and seeing someone seriously injured or killed (30%). A current diagnosis of PTSD was found in 12.4%) of the sample. Trauma incidence figures were high ( M = 3.5) and were comparable with an urban Xhosa primary care population in South Africa ( M = 3.8). A current indicative diagnosis of PTSD of 12.4%) also compares with other studies; 19.9% among urban Xhosa primary care patients and 11.8% among American primary care patients.

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TRAUMA AND POSTTRAUMATIC STRESS DISORDER IN A RURAL PRIMARY CARE POPULATION IN SOUTH AFRICA

Psychological Reports ◽

10.2466/pr0.100.3.1115-1120 ◽

2007 ◽

Vol 100 (3) ◽

pp. 1115 ◽

Cited By ~ 2

Author(s):

K. PELTZE

Keyword(s):

South Africa ◽

Primary Care ◽

Posttraumatic Stress Disorder ◽

Posttraumatic Stress ◽

Stress Disorder ◽

Rural Primary Care ◽

Primary Care Population

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PTSD symptom clusters associated with physical health and health care utilization in rural primary care patients exposed to natural disaster

Journal of Traumatic Stress ◽

10.1002/jts.20281 ◽

2008 ◽

Vol 21 (1) ◽

pp. 75-82 ◽

Cited By ~ 36

Author(s):

Melissa A. Polusny ◽

Barry J. Ries ◽

Jessica R. Schultz ◽

Patrick Calhoun ◽

Lisa Clemensen ◽

...

Keyword(s):

Primary Care ◽

Health Care ◽

Health Care Utilization ◽

Physical Health ◽

Natural Disaster ◽

Ptsd Symptom ◽

Symptom Clusters ◽

Care Utilization ◽

Rural Primary Care ◽

Primary Care Patients

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Cross-sectional associations between inflammation, sickness behaviour, health anxiety and self-rated health in a Swedish primary care population

European Journal of Inflammation ◽

10.1177/2058739219844357 ◽

2019 ◽

Vol 17 ◽

pp. 205873921984435 ◽

Cited By ~ 2

Author(s):

Karin Lodin ◽

Mats Lekander ◽

Predrag Petrovic ◽

Gustav Nilsonne ◽

Erik Hedman-Lagerlöf ◽

...

Keyword(s):

Primary Care ◽

Interleukin 6 ◽

Health Anxiety ◽

Health State ◽

Sickness Behaviour ◽

Cross Sectional ◽

Primary Care Population ◽

Self Rated Health ◽

Primary Care Patients ◽

Low Levels

This study investigated associations between inflammatory markers, sickness behaviour, health anxiety and self-rated health in 311 consecutive primary care patients. Poor self-rated health was associated with high sickness behaviour ( ρ = 0.28, P < 0.001; ρ = 0.42, P = 0.003) and high health anxiety ( ρ = 0.31, P < 0.001; ρ = –0.32, P = 0.003). High levels of interleukin 6 were associated with poor self-rated health in men ( ρ = 0.26, P = 0.009). Low levels of interleukin-6 were associated with poor self-rated health in women ( ρ = –0.15, P = 0.04), but this association was non-significant when adjusted for health anxiety ( ρ = –0.08, P = 0.31). These results are consistent with the theory that interoceptive processes draw on both inflammatory mediators and the state of sickness behaviour in inferring health state.

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Development of a diagnostic decision tree for obstructive pulmonary diseases based on real-life data

ERJ Open Research ◽

10.1183/23120541.00077-2015 ◽

2016 ◽

Vol 2 (1) ◽

pp. 00077-2015 ◽

Cited By ~ 6

Author(s):

Esther I. Metting ◽

Johannes C.C.M. in ’t Veen ◽

P.N. Richard Dekhuijzen ◽

Ellen van Heijst ◽

Janwillem W.H. Kocks ◽

...

Keyword(s):

Primary Care ◽

Decision Tree ◽

Pulmonary Disease ◽

External Validation ◽

Real Life ◽

Computer Assisted ◽

Obstructive Pulmonary Disease ◽

Primary Care Population ◽

Interaction Detection ◽

Primary Care Patients

The aim of this study was to develop and explore the diagnostic accuracy of a decision tree derived from a large real-life primary care population.Data from 9297 primary care patients (45% male, mean age 53±17 years) with suspicion of an obstructive pulmonary disease was derived from an asthma/chronic obstructive pulmonary disease (COPD) service where patients were assessed using spirometry, the Asthma Control Questionnaire, the Clinical COPD Questionnaire, history data and medication use. All patients were diagnosed through the Internet by a pulmonologist. The Chi-squared Automatic Interaction Detection method was used to build the decision tree. The tree was externally validated in another real-life primary care population (n=3215).Our tree correctly diagnosed 79% of the asthma patients, 85% of the COPD patients and 32% of the asthma–COPD overlap syndrome (ACOS) patients. External validation showed a comparable pattern (correct: asthma 78%, COPD 83%, ACOS 24%).Our decision tree is considered to be promising because it was based on real-life primary care patients with a specialist's diagnosis. In most patients the diagnosis could be correctly predicted. Predicting ACOS, however, remained a challenge. The total decision tree can be implemented in computer-assisted diagnostic systems for individual patients. A simplified version of this tree can be used in daily clinical practice as a desk tool.

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