Literature DB >> 27505195

Implicit processes in health psychology: Diversity and promise.

Paschal Sheeran1, Jos A Bosch2, Geert Crombez3, Peter A Hall4, Jennifer L Harris5, Esther K Papies6, Reinout W Wiers7.   

Abstract

Implicit processes refer to cognitive, affective, and motivational processes that influence health decisions and behavior without the person intending that influence. This special issue aims to increase appreciation of the diverse and promising research on implicit processes in health psychology, and to promote discussion about how this research improves understanding of health behavior change and can be harnessed to meet public health mandates. The articles included in the special issue showcase this diversity and promise, and present not only new findings, but also new theories, new measures, and state-of-the- art summaries of progress. The research demonstrates the added value of considering implicit processes for understanding health behaviors, their interactions with explicit processes and neural mechanisms, as well as the benefits of targeting implicit processes in health behavior interventions. At the same time, however, the papers in this special issue also point to potential boundary conditions, the importance of good measures and appropriate tests of implicit processes, and the challenges involved in assessing implicit processes' causal role in determining health behaviors. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

Entities:  

Mesh:

Year:  2016        PMID: 27505195     DOI: 10.1037/hea0000409

Source DB:  PubMed          Journal:  Health Psychol        ISSN: 0278-6133            Impact factor:   4.267


  9 in total

1.  Mediating Effects of the 'eCoFit' Physical Activity Intervention for Adults at Risk of, or Diagnosed with, Type 2 Diabetes.

Authors:  Magdalena Wilczynska; David R Lubans; Stefania Paolini; Ronald C Plotnikoff
Journal:  Int J Behav Med       Date:  2019-10

2.  Primed for Health: Future Thinking Priming Decreases Delay Discounting.

Authors:  Alina Shevorykin; Jami C Pittman; Warren K Bickel; Richard J O'Connor; Ria Malhotra; Neelam Prashad; Christine E Sheffer
Journal:  Health Behav Policy Rev       Date:  2019-07

3.  Quantitative Analysis of Internet of Things Technology on the National Economic Accounting: A Prediction Model Based on the FCM-BP Neural Network Algorithm.

Authors:  Jian-Tao Song
Journal:  Comput Intell Neurosci       Date:  2022-05-05

4.  Do implicit attitudes toward physical activity and sedentary behavior prospectively predict objective physical activity among persons with obesity?

Authors:  Guillaume Chevance; Johan Caudroit; Thomas Henry; Philippe Guerin; Julie Boiché; Nelly Héraud
Journal:  J Behav Med       Date:  2017-09-07

5.  Force of Habit: the Role of Routinized, Automatic Behaviors along the Path of Self-Regulation and Alcohol-Related Problems.

Authors:  Kyle J Walters; Jeffrey S Simons
Journal:  Int J Behav Med       Date:  2020-02

6.  Systematically testing the effects of promotion techniques on children's fruit and vegetables intake on the long term: a protocol study of a multicenter randomized controlled trial.

Authors:  Frans Folkvord
Journal:  BMC Public Health       Date:  2019-11-27       Impact factor: 3.295

7.  Design of Building Environment Detection System for Architectures Based on Internet of Things.

Authors:  Dongfang Zhang; Hui Ji; Zhennan Li; Hui Ge
Journal:  Comput Intell Neurosci       Date:  2022-03-28

8.  Distributed Simulation System for Athletes' Mental Health in the Internet of Things Environment.

Authors:  Baoyan Fu; XinXin Fu
Journal:  Comput Intell Neurosci       Date:  2022-03-25

9.  Using environmental engineering to increase hand hygiene compliance: a cross-over study protocol.

Authors:  Kelly Ann Schmidtke; Navneet Aujla; Tom Marshall; Abid Hussain; Gerard P Hodgkinson; Kristopher Arheart; Joachim Marti; David J Birnbach; Ivo Vlaev
Journal:  BMJ Open       Date:  2017-09-11       Impact factor: 2.692

  9 in total

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