Pain Catastrophizing and Anxiety

Author(s):  
Beth Darnall

The optimization of perioperative patients involves targeting the modifiable individual factors that influence pain, function, and surgical outcomes. However, many untapped opportunities exist, particularly in the psychological realm. Indeed, psychological factors—including pain anxiety and pain catastrophizing—are among the most influential perioperative factors yet rarely are targeted in the perioperative timeframe. To date, research has largely focused on the characterization of behavioral risk factors that associate with or predict poor surgical outcomes, whereas fewer perioperative studies and programs have focused on perioperative interventions. As such, interventions that effectively address the highest-yield targets may meaningfully improve perioperative care and favorably alter the long-term trajectory of health after surgery. This chapter aims to elucidate key research to date for pain anxiety and pain catastrophizing and underscore their importance as therapeutic targets in the perioperative timeline; it also reviews data on their malleability and responsivity to intervention, and highlights promising relevant clinical programs.

2021 ◽  
pp. 174569162198924
Author(s):  
Annelise A. Madison ◽  
M. Rosie Shrout ◽  
Megan E. Renna ◽  
Janice K. Kiecolt-Glaser

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccine candidates are being evaluated, with the goal of conferring immunity on the highest percentage of people who receive the vaccine as possible. It is noteworthy that vaccine efficacy depends not only on the vaccine but also on characteristics of the vaccinated. Over the past 30 years, a series of studies has documented the impact of psychological factors on the immune system’s vaccine response. Robust evidence has demonstrated that stress, depression, loneliness, and poor health behaviors can impair the immune system’s response to vaccines, and this effect may be greatest in vulnerable groups such as the elderly. Psychological factors are also implicated in the prevalence and severity of vaccine-related side effects. These findings have generalized across many vaccine types and therefore may be relevant to the SARS-CoV-2 vaccine. In this review, we discuss these psychological and behavioral risk factors for poor vaccine responses, their relevance to the COVID-19 pandemic, as well as targeted psychological and behavioral interventions to boost vaccine efficacy and reduce side effects. Recent data suggest these psychological and behavioral risk factors are highly prevalent during the COVID-19 pandemic, but intervention research suggests that psychological and behavioral interventions can increase vaccine efficacy.


2011 ◽  
Vol 131 (1) ◽  
pp. 169-176 ◽  
Author(s):  
Madiha F. Abdel-Maksoud ◽  
Betsy C. Risendal ◽  
Marty L. Slattery ◽  
Anna R. Giuliano ◽  
Kathy B. Baumgartner ◽  
...  

Author(s):  
G.Z. Moroz ◽  
I.M. Hydzynska ◽  
T.S. Lasitsya

Background. Poor adherence to risk factor behaviors management increases the risk for a further cardiac event. Unfortunately, poor adherence to behaviors recommended in lifestyle interventions is widespread, particularly over the long-term; thus, the “adherence problem” represents a significant challenge to the effectiveness of these interventionsObjective: The goal of the trial was the assessment of patient’s and physician’s attitude to a healthy lifestyle and evaluation of their stage of readiness for change in dealing with unhealthy behavior with the goal of cardiovascular disease risk factors modification particularly smoking cessation, physical activity, healthy dietMethods: We performed a poll of 158 patients who visited the outpatient clinic of the State Institution of Sciences “Research and Practical Center of Preventive and Clinical Medicine” State Administrative Department with the purpose of preventive services and of 65 physicians – employees of our clinic – about their adherence to healthy lifestyle habits. As the determination of the readiness to deal with an unhealthy behavior allows making individualized preventive counseling, we used a special questionnaire for standardizing approaches to determining the stage of change of three major behavioral risk factors of cardiovascular diseases – smoking, unhealthy diet, and low level of physical activity. The readiness to change was identified according to the Transtheoretical Model (TTM) of Behavior Change. The results of physicians questionnaire (n=65) were compared to the results of patients questionnaire (n=158). Results. Most of the participants – 87,3±2,6 % of patients and 93,6±3,1 % of physicians – were non-smokers. Only 26,6±3,5 % of patients and 20,6±5,1 % of physicians reported following a healthful diet and only 8,9±2,3% of patients and 20,6±5,1 % of physicians perform regular physical activity. The prevalence of optimal level of physical activity among physicians was significantly higher (p<0,05). 72,5± 6,3 % of physicians were on action stage in the matter of healthy diet and 74±6,2 % – in the matter of physical activity regimen, it was significantly higher (р < 0,05) that among patients – 45,7±4,6 % and 41,0±4,1% respectively. Conclusions: Our findings highlight poor adherence to healthy lifestyle habits among physicians and patients, especially in the matter of healthy eating and optimal level of physical activity, and needs for targeted strategies that improve long-term adherence to health behaviors and enhance physician’s knowledge about lifestyle-based health promotion interventions.


2021 ◽  
Vol 9 ◽  
Author(s):  
María-José Mendoza-Jiménez ◽  
Tessa-Virginia Hannemann ◽  
Josefine Atzendorf

Behavioral risk factors, such as smoking, excessive alcohol consumption, physical inactivity, obesity, and unhealthy food intake are added risk factors for severe outcomes of COVID-19 infections. Preventive measures to avoid infections are therefore particularly important for individuals engaging in behavioral risk factors. We seek to determine whether behavioral risk factors (BRFs) play a significant role in the adherence to preventive COVID-19 measures in a population aged 50 and above. The SHARE wave 8 (Survey of Health, Ageing and Retirement in Europe) and SHARE COVID-19 Survey served as the database, resulting in an analytical sample of 17,588 respondents from 23 European countries plus Israel. Of these 36.04% engaged in at least one BRF and 16.68% engaged in 3 or more BRFs. Multilevel logistic regressions revealed that engagement in one BRF was significantly associated with less adherence to hygiene preventive measures, i.e., hand-sanitizing, hand-washing and covering coughs and sneezes (OR: 0.86; 95% CI: 0.78; 0.94), as was engagement in two BRFs (OR: 0.85; 95% CI: 0.74; 0.97) and three or more BRFs (OR: 0.72; 95% CI: 0.59; 0.88). No such association was found between engagement in BRFs and adherences to social isolation preventive measures, i.e., avoiding meeting more than five people, visiting others or going shopping, or regulated preventive measures, i.e., wearing a mask and keeping physical distance. The found association was also stronger when three or more BRFs were engaged in (1 vs. 3 BRFs: χ2 = 3.43, p = 0.06; 2 vs. 3 BRFs: χ2 = 6.05; p = 0.01). The study gives insight into the protective behavior of a population with inherent vulnerability during a global health emergency. It lays the foundation for follow-up research about the evolution of adherence to preventive measures as the pandemic progresses and about long-term behavioral changes. In addition, it can aide efforts in increasing preventive compliance by raising awareness of the added risk behavioral risk factors pose.


2021 ◽  
Author(s):  
Di Zhang ◽  
Yizhou Sun ◽  
Lei Lian ◽  
Bang Hu ◽  
Heng Zhang ◽  
...  

Author(s):  
Nam Jeong Jeong ◽  
Eunil Park ◽  
Angel P. del Pobil

Non-communicable diseases (NCDs) are one of the major health threats in the world. Thus, identifying the factors that influence NCDs is crucial to monitor and manage diseases. This study investigates the effects of social-environmental and behavioral risk factors on NCDs as well as the effects of social-environmental factors on behavioral risk factors using an integrated research model. This study used a dataset from the 2017 Korea National Health and Nutrition Examination Survey. After filtering incomplete responses, 5462 valid responses remained. Items including one’s social-environmental factors (household income, education level, and region), behavioral factors (alcohol use, tobacco use, and physical activity), and NCDs histories were used for analyses. To develop a comprehensive index of each factor that allows comparison between different concepts, the researchers assigned scores to indicators of the factors and calculated a ratio of the scores. A series of path analyses were conducted to determine the extent of relationships among NCDs and risk factors. The results showed that social-environmental factors have notable effects on stroke, myocardial infarction, angina, diabetes, and gastric, liver, colon, lung, and thyroid cancers. The results indicate that the effects of social-environmental and behavioral risk factors on NCDs vary across the different types of diseases. The effects of social-environmental factors and behavioral risk factors significantly affected NCDs. However, the effect of social-environmental factors on behavioral risk factors was not supported. Furthermore, social-environmental factors and behavioral risk factors affect NCDs in a similar way. However, the effects of behavioral risk factors were smaller than those of social-environmental factors. The current research suggests taking a comprehensive view of risk factors to further understand the antecedents of NCDs in South Korea.


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