scholarly journals The relative contributions of behavioral, biological, and psychological risk factors in the association between psychosocial stress and all-cause mortality among middle- and older-aged adults in the USA

GeroScience ◽  
2021 ◽  
Author(s):  
Justin Rodgers ◽  
Adolfo G. Cuevas ◽  
David R. Williams ◽  
Ichiro Kawachi ◽  
S.V. Subramanian
Keyword(s):  
Risk Factors ◽  
Psychosocial Stress ◽  
Psychological Risk Factors ◽  
All Cause Mortality ◽  
The Usa ◽  
Psychological Risk

scholarly journals Sociodemographic and Psychological Risk Factors for Anxiety and Depression: Findings from the Covid-19 Health and Adherence Research in Scotland on Mental Health (CHARIS-MH) Cross-sectional Survey

2021 ◽  
Author(s):  
Gill Hubbard ◽  
Chantal den Daas ◽  
Marie Johnston ◽  
Diane Dixon
Keyword(s):  
Mental Health ◽  
Risk Factors ◽  
Social Support ◽  
Illness Representations ◽  
Gender Effects ◽  
Anxiety And Depression ◽  
Perceived Threat ◽  
Cross Sectional ◽  
Psychological Risk Factors ◽  
Psychological Risk

Abstract Background Investigations about mental health report prevalence rates with fewer studies investigating psychological and social factors influencing mental health during the Covid-19 pandemic. Study aims: (1) identify sociodemographic groups of the adult population at risk of anxiety and depression and (2) determine if the following social and psychological risk factors for poor mental health moderated these direct sociodemographic effects: loneliness, social support, threat perception, illness representations. Methods Cross-sectional nationally representative telephone survey in Scotland in June 2020. If available, validated instruments were used, for example, Patient Health Questionnaire (PHQ-4) to measure anxiety and depression. Simple linear regressions followed by examination of moderation effect. Results A total of 1006 participants; median age 53 years, 61.4% female, from all levels of area deprivation (i.e., 3.8% in the most deprived decile and 15.6% in the most affluent decile). Analyses show associations of anxiety and depression with sociodemographic (age, gender, deprivation), social (social support, loneliness) and psychological factors (perceived threat and illness representations). Mental health was poorer in younger adults, women and people living in the most deprived areas. Age effects were exacerbated by loneliness and illness representations, gender effects by loneliness and illness representations and deprivation effects by loneliness, social support, illness representations and perceived threat. In each case, the moderating variables amplified the detrimental effects of the sociodemographic factors. Conclusions These findings confirm the results of pre-Covid-19 pandemic studies about associations between sociodemographics and mental health. Loneliness, lack of social support and thoughts about Covid-19 exacerbated these effects and offer pointers for pre-emptive action.

scholarly journals Prognostic model to identify and quantify risk factors for mortality among hospitalised patients with COVID-19 in the USA

BMJ Open ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. e047121
Author(s):  
Devin Incerti ◽  
Shemra Rizzo ◽  
Xiao Li ◽  
Lisa Lindsay ◽  
Vincent Yau ◽  
...  
Keyword(s):  
Risk Factors ◽  
Prognostic Model ◽  
Vital Signs ◽  
Saturation Temperature ◽  
Full Model ◽  
Good Discrimination ◽  
Hospitalised Patients ◽  
Laboratory Results ◽  
All Cause Mortality ◽  
The Usa

ObjectivesTo develop a prognostic model to identify and quantify risk factors for mortality among patients admitted to the hospital with COVID-19.DesignRetrospective cohort study. Patients were randomly assigned to either training (80%) or test (20%) sets. The training set was used to fit a multivariable logistic regression. Predictors were ranked using variable importance metrics. Models were assessed by C-indices, Brier scores and calibration plots in the test set.SettingOptum de-identified COVID-19 Electronic Health Record dataset including over 700 hospitals and 7000 clinics in the USA.Participants17 086 patients hospitalised with COVID-19 between 20 February 2020 and 5 June 2020.Main outcome measureAll-cause mortality while hospitalised.ResultsThe full model that included information on demographics, comorbidities, laboratory results, and vital signs had good discrimination (C-index=0.87) and was well calibrated, with some overpredictions for the most at-risk patients. Results were similar on the training and test sets, suggesting that there was little overfitting. Age was the most important risk factor. The performance of models that included all demographics and comorbidities (C-index=0.79) was only slightly better than a model that only included age (C-index=0.76). Across the study period, predicted mortality was 1.3% for patients aged 18 years old, 8.9% for 55 years old and 28.7% for 85 years old. Predicted mortality across all ages declined over the study period from 22.4% by March to 14.0% by May.ConclusionAge was the most important predictor of all-cause mortality, although vital signs and laboratory results added considerable prognostic information, with oxygen saturation, temperature, respiratory rate, lactate dehydrogenase and white cell count being among the most important predictors. Demographic and comorbidity factors did not improve model performance appreciably. The full model had good discrimination and was reasonably well calibrated, suggesting that it may be useful for assessment of prognosis.

Chronic low back pain and the transdiagnostic process: How do cognitive and emotional dysregulations contribute to the intensity of risk factors and pain?

2017 ◽  
Vol 17 (1) ◽  
pp. 309-315 ◽  
Author(s):  
Margaux Le Borgne ◽  
Abdel Halim Boudoukha ◽  
Audrey Petit ◽  
Yves Roquelaure
Keyword(s):  
Risk Factors ◽  
Low Back Pain ◽  
Back Pain ◽  
Multiple Regression ◽  
Chronic Low Back Pain ◽  
Emotional Regulation ◽  
Low Back ◽  
Psychological Risk Factors ◽  
Somatosensory Amplification ◽  
Psychological Risk

AbstractBackground and aimsBased on a transdiagnostic approach, this study assesses the impact of cognitive and emotional processes (difficulties in emotional regulation, impulsiveness, rumination and somatosensory amplification) on the psychological risk factors of chronic low-back pain.MethodsThe study was carried out with 256 patients with chronic low-back pain. All the variables were assessed through a booklet of 10 validated questionnaires. Multiple regression analysis and moderation analysis were performed.ResultsPredictors included in multiple regression models explain 3%-42% (adjusted R2) of the variance in psychological risk factors. Moreover, analyses reveal a significant moderator effect of somatosensory amplification on the link between fear-avoidance beliefs linked to work and pain intensity (F(3;250) = 12.33; p = .00), of somatosensory amplification and brooding on the link between depression and functional repercussions (FR) on everyday life (F(3;252) = 13.36; p = .000; F(1;252) = 12.42; p = .00), of the reflection dimension of rumination on the link between the helplessness dimension of catastrophizing and FRs on sociability (F(3;252) = 37.02; p = .00). There is also a moderation analysis with a significant trend concerning the lack of emotional awareness and the difficulties in controlling impulsive behaviours.ConclusionsOur results indicate an important role of some dimensions of difficulties in emotional regulation, somatosensory amplification and rumination in the increase in negative affects and dysfunctional beliefs, and in the links between those psychological risk factors and pain/disability.ImplicationsThis study identifies some cognitive and emotional dysregulations substantially involved in work-related chronic pain. This contribute to put in place psychotherapeutic protocols to tackle these deficits and dysregulations in a relevant way.

scholarly journals Evaluation of Psychological Risk Factors: Prospective Prediction of Psychopathology during Basic Training

1999 ◽  
Vol 164 (7) ◽  
pp. 509-513 ◽  
Author(s):  
Darin R. Lerew ◽  
Norman B. Schmidt ◽  
Robert J. Jackson
Keyword(s):  
Risk Factors ◽  
Basic Training ◽  
Psychological Risk Factors ◽  
Psychological Risk
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