scholarly journals Psychological and Behavioral Predictors of Vaccine Efficacy: Considerations for COVID-19

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.

PLoS ONE ◽  
2019 ◽  
Vol 14 (9) ◽  
pp. e0222183 ◽  
Author(s):  
Holly Janes ◽  
Marshall D. Brown ◽  
David V. Glidden ◽  
Kenneth H. Mayer ◽  
Susan P. Buchbinder ◽  
...  

2017 ◽  
Vol 64 (2) ◽  
pp. 121-132
Author(s):  
David Sabău ◽  
◽  
Grigore Friptuleac ◽  

Background. Digestive diseases, the third leading cause of death in Romania (4.9% of total deaths in 2010), are responsible for the annual loss of about 77 persons/100,000 population in 2009-2010, increasing compared to 2005. The large share these diseases have in pathology, high potential disabling of some of them, their interactions with environmental factors and food require their knowledge in early stages, treatment and prevention of complications. Aims. Aim of this study are to estimate the particularities of nutrition and the health of people with diseases of the digestive system, highlighting behavioral risk factors and preventive measures development in Cluj County. Methods. There were established two study groups, each made up of 255 people, including 1st lot that includes people taking one of the Cluj County digestive diseases known, and the 2nd lot that is being made of the population compared to the same county that have not been diagnosed diseases of the digestive tract. Results. In the study there were identified and prioritized key digestive disorders diagnosed in the group of subjects who are established in a particular period in Gastroenterology Clinic of Cluj Napoca. They determine relations between morbidity by diseases of the digestive and behavioral risk factors and they were developing preventive measures determining the impact of behavioral risk factors in the onset and development of diseases of the gastrointestinal tract. Conclusions. 1. In the conducted study found that digestive pathology had a wide representation among the investigated subjects, including all segments of the digestive tract. 2. At all digestive pathologies studied could not detect a single factor, each being able pathology could be assigned several factors (food, behavioral, environmental etc.). 3. Food factor can be considered as the predominant factor in the onset, maintenance or aggravation of digestive pathologies studied. 4. In the conducted study it was established as risk factors (along with the food) also smoking, alcohol consumption, a family history and even some vitamin deficiencies. 5. Extended studied digestive pathology is found distributed in proportions relative to the geographic areas studied area of Cluj County. On the regions, distribution percentages are so close that differences are considered unsignificant (North East – 22%, 23% – Northwest, Southwest - 29% and Southeast - 26%).


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.


Medical Care ◽  
2009 ◽  
Vol 47 (2) ◽  
pp. 262-267 ◽  
Author(s):  
Dorothy Y. Hung ◽  
Erica I. Lubetkin ◽  
Marianne C. Fahs ◽  
Donna R. Shelley

2021 ◽  
Vol 12 ◽  
pp. 215013272110298
Author(s):  
Susan M. Devaraj ◽  
Bonny Rockette-Wagner ◽  
Rachel G. Miller ◽  
Vincent C. Arena ◽  
Jenna M. Napoleone ◽  
...  

Introduction The American Heart Association created “Life’s Simple Seven” metrics to estimate progress toward improving US cardiovascular health in a standardized manner. Given the widespread use of federally funded Diabetes Prevention Program (DPP)-based lifestyle interventions such as the Group Lifestyle Balance (DPP-GLB), evaluation of change in health metrics within such a program is of national interest. This study examined change in cardiovascular health metric scores during the course of a yearlong DPP-GLB intervention. Methods Data were combined from 2 similar randomized trials offering a community based DPP-GLB lifestyle intervention to overweight/obese individuals with prediabetes and/or metabolic syndrome. Pre/post lifestyle intervention participation changes in 5 of the 7 cardiovascular health metrics were examined at 6 and 12 months (BMI, blood pressure, total cholesterol, fasting plasma glucose, physical activity). Smoking was rare and diet was not measured. Results Among 305 participants with complete data (81.8% of 373 eligible adults), significant improvements were demonstrated in all 5 risk factors measured continuously at 6 and 12 months. There were significant positive shifts in the “ideal” and “total” metric scores at both time points. Also noted were beneficial shifts in the proportion of participants across categories for BMI, activity, and blood pressure. Conclusion AHA-metrics could have clinical utility in estimating an individual’s cardiovascular health status and in capturing improvement in cardiometabolic/behavioral risk factors resulting from participation in a community-based translation of the DPP lifestyle intervention.


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.


Stroke ◽  
2017 ◽  
Vol 48 (suppl_1) ◽  
Author(s):  
Urvish K Patel ◽  
Priti Poojary ◽  
Vishal Jani ◽  
Mandip S Dhamoon

Background: There is limited recent population-based data of trends in acute ischemic stroke (AIS) hospitalization rates among young adults (YA). Rising prevalence of stroke risk factors may increase stroke rates in YA. We hypothesized that 1) stroke hospitalizations and mortality among YA are increasing over time (2000-2011), 2) besides traditional stroke risk factors, non-traditional factors are associated with stroke in YA, 3) stroke hospitalization among YA is associated with higher mortality, length of stay (LOS), and cost. Methods: In the Nationwide Inpatient Sample database (years 2000-2011), adult hospitalizations for AIS and concurrent diagnoses were identified by ICD-9-CM codes; the analytic cohort constituted all AIS hospitalizations. We performed weighted analysis using chi-square, t-test, and Jonckheere trend test. Multivariable survey regression models evaluated interactions between age group (18-45 vs. >45 years) and traditional and non-traditional risk factors, with outcomes including mortality, LOS, and cost. Models were adjusted for race, sex, Charlson’s Comorbidity Index, primary payer, location and teaching status of hospital, and admission day. Results: Among 5220960 AIS hospitalizations, 231858 (4.4%) were YA. On trend analysis, proportion of YA amongst AIS increased from 3.6% in 2000 to 4.7% in 2011 (p<0.0001) but mortality in YA decreased from 3.7% in 2000 to 2.6% in 2011, compared to 7.1% in 2000 to 4.6% in 2011 (p<0.0001) among older adults. Non-traditional, especially behavioral, risk factors were more common among YA, and LOS and cost were higher (Table). Conclusion: There was a trend for higher proportion of YA among AIS hospitalizations, though there was a decreasing mortality trend over 10 years. Behavioral risk factors were more common among YA, and there was an increased length of stay and cost. AIS in YA may require different preventive approaches compared to AIS among older adults.


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