Given the increase in sedentary lifestyles and physical inactivity, various psychosocial approaches have been used to combat this epidemic. Several studies have used Self-Determination Theory (SDT) as a theoretical framework for studying behavioral change, as well as the Hierarchical Model of Intrinsic and Extrinsic Motivation (HMIEM) which, based on SDT, aims to explain how different levels of generality can be responsible for behavioral consequences. The aim was to investigate the associations between the variables that make up the HMIEM model applied to the context of physical exercise (gym exercisers). Following the PRISMA protocol and the PECOS strategy, the Web of Science, PubMed, Scopus, and SPORTDiscus databases were used to search for experimental and non-experimental studies written in English. Seven studies were considered for analysis and subjected to a methodological quality assessment The results showed that the variables that make up the social factors (e.g., supportive/thwarting behaviors) tend to be associated with satisfaction of basic psychological needs (BPN) ( = 0.51, < 0.01; = -0.73, < 0.01) and with frustration of BPN ( = -0.39, < 0.01; = 0.78, < 0. 01), BPN satisfaction and frustration tend to be associated with autonomous forms of motivation ( = 0.57, < 0.01; = -0.63, < 0.01) and controlled forms of motivation ( = -0.76, < 0.01; = 0.46, < 0.01) and autonomous and controlled forms of motivation are associated with behavioral consequences (e.g., intention) ( = 0.19, < 0.01; = -0.17, < 0.01). This systematic review covers interpersonal behaviors and the bright and dark sides of SDT, showing that the positive alignment between the psychosocial determinants that make up the horizontal axis of the HMIEM is fundamental for adherence to and maintenance of sustainable physical exercise practices, and future studies should now address these issues in a longitudinal manner and perhaps move on to study the vertical axis of the HMIEM.
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http://dx.doi.org/10.3389/fpsyg.2025.1512270 | DOI Listing |
J Am Chem Soc
March 2025
Department of Materials Science and Engineering, National University of Singapore, Singapore 117575, Singapore.
The performance of the electrocatalytic CO reduction reaction (CORR) is highly dependent on the microenvironment around the cathode. Despite efforts to optimize the microenvironment by modifying nanostructured catalysts or microporous gas diffusion electrodes, their inherent disorder presents a significant challenge to understanding how interfacial structure arrangement within the electrode governs the microenvironment for CORR. This knowledge gap limits fundamental understanding of CORR while also hindering efforts to enhance CORR selectivity and activity.
View Article and Find Full Text PDFPLoS One
March 2025
Department of Physiology and Biochemistry of Nutrition, Max Rubner-Institut, Karlsruhe, Germany.
Background: For a growing number of food-based dietary guidelines (FBDGs), diet optimization is the tool of choice to account for the complex demands of healthy and sustainable diets. However, decisions about such optimization models' parameters are rarely reported nor systematically studied.
Objectives: The objectives were to develop a framework for (i) the formulation of decision variables based on a hierarchical food classification system; (ii) the mathematical form of the objective function; and (iii) approaches to incorporate nutrient goals.
Glob Health Promot
March 2025
Department of Prevention and Community Health, Milken Institute School of Public Health; George Washington Cancer Center; George Washington University, Washington, DC, USA.
Smoke-free homes (SFHs) reduce secondhand smoke exposure (SHSe), which is particularly crucial where smoking prevalence is high and public smoke-free policies are nascent, as in some low- and middle-income countries (LMICs). This study examined perspectives regarding SFHs, including barriers and facilitators, among adults in Armenia, a LMIC with high male smoking prevalence and recently-implemented smoke-free policies. In February-March 2024, focus groups were conducted with adults reporting smoking and non-smoking, separately, in two Armenian communities ( = 39; = 41.
View Article and Find Full Text PDFThis study presents a novel deep learning approach for surface electromyography (sEMG) gesture recognition using stacked autoencoder neural network (SAE)s. The method leverages hierarchical representation learning to extract meaningful features from raw sEMG signals, enhancing the precision and robustness of gesture classification.•Feature Extraction and Classification MODWT Decomposition: The sEMG signals were decomposed using the MODWT DECOMPOSITION(Maximal Overlap Discrete Wavelet Transform) to capture various frequency components.
View Article and Find Full Text PDFFront Neurosci
February 2025
Department of Electrical and Computer Engineering (ECE), Swanson School of Engineering, University of Pittsburgh, Pittsburgh, PA, United States.
Miniature robots are useful during disaster response and accessing remote or unsafe areas. They need to navigate uneven terrains without supervision and under severe resource constraints such as limited compute, storage and power budget. Event-based sensorimotor control in edge robotics has potential to enable fully autonomous and adaptive robot navigation systems capable of responding to environmental fluctuations by learning new types of motion and real-time decision making to avoid obstacles.
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