Applying the Integrative Model to Predict Intention to Use Corporal Punishment Among Low-income Parents

Child corporal punishment (CP) is associated with child physical abuse, which is a public health problem in the United States. Informed by the integrative model of behavioral prediction, this study surveyed low-income Black, Hispanic, and White parents who had children younger than 6 years old (N = 260) to identify major risk factors that determined intention to use CP to discipline children. Structural equation modeling revealed that attitudes, descriptive norms, and perceived efficacy of alternative discipline strategies were associated with intention to use CP. Additionally, parents' childhood CP frequency and past use of CP with their own children were influential distal variables that indirectly predicted CP intention. Results indicated the utility of the model in this behavioral context. Communication intervention programs targeting low-income parents should leverage perceived norms, perceived efficacy of alternative discipline strategies, and attitudes to change CP behavior.

Choosing among correlative, mechanistic, and hybrid models of species' niche and distribution

Different models are available to estimate species' niche and distribution. Mechanistic and correlative models have different underlying conceptual bases, thus generating different estimates of a species' niche and geographic extent. Hybrid models, which combining correlative and mechanistic approaches, are considered a promising strategy; however, no synthesis in the literature assessed their applicability for terrestrial vertebrates to allow best-choice model considering their strengths and trade-offs. Here, we provide a systematic review of studies that compared or integrated correlative and mechanistic models to estimate species' niche for terrestrial vertebrates under climate change. Our goal was to understand their conceptual, methodological, and performance differences, and the applicability of each approach. The studies we reviewed directly compared mechanistic and correlative predictions in terms of accuracy or estimated suitable area, however, without any quantitative analysis to support comparisons. Contrastingly, many studies suggest that instead of comparing approaches, mechanistic and correlative methods should be integrated (hybrid models). However, we stress that the best approach is highly context-dependent. Indeed, the quality and effectiveness of the prediction depends on the study's objective, methodological design, and which type of species' niche and geographic distribution estimated are more appropriate to answer the study's issue.

The response set theory of hypnosis reconsidered: toward an integrative model

Irving Kirsch is a leading figure in the field of psychological science who has advanced our understanding of hypnosis in key respects that have withstood the tests of time and replication. We honor his prodigious contributions over his distinguished career and extend his response expectancy theory in an integrative model that encompasses predictive coding. We review the construct of expectancies that he articulated and championed for decades and extended in response set theory. We propose novel hypotheses to align his innovative contributions with the most current findings in psychological science and to acknowledge the heuristic value of his work. We especially focus on (I) how the response set theory can be conceptualized in terms of the predictive coding model and (II) psycho-social constructs that need to be considered to better understand the effects of expectancies on hypnotic phenomena in an open and evidence-based integrative model of hypnosis.

Meaning in Life among Older Adults: An Integrative Model

Meaning in life (MIL) among older adults has a significant physical and mental health impact. This study aimed to present an integrative model of factors that contribute to variability in MIL among older adults, including background characteristics (gender, age, employment status, religiosity), personality characteristics (locus of control, self-efficacy, optimism), and psycho-social factors (psychological distress and loneliness). Participants (751 older adults, M_age = 72.27, SD = 6.28; 446 female, 305 male) responded to a questionnaire in-person or online. Measures included: demographic variables, Short Scale for the Assessment of Locus of Control, New General Self-Efficacy Scale, Life Orientation Test-Revised, Kessler Psychological Distress Scale, and Hughes Short Scale for Measuring Loneliness. Hierarchical regression revealed that younger and religious older adults reported higher MIL levels than older and non-religious older adults. Internal locus of control, higher self-efficacy, and higher optimism were linked to higher MIL levels. Higher psychological distress and loneliness were associated with lower MIL levels, with psychological distress contributing the most of all variables in the study model to explain the variance in MIL among older adults. Employed older old adults reported lower MIL levels than those unemployed. The study emphasizes the importance of an integrative approach in the examination of MIL among older adults.

Testing the empirical integration of threat-deprivation and harshness-unpredictability dimensional models of adversity

Recent dimensional models of adversity informed by a neurobiological deficit framework highlights threat and deprivation as core dimensions, whereas models informed by an evolutionary, adaptational and functional framework calls attention to harshness and unpredictability. This report seeks to evaluate an integrative model of threat, deprivation, and unpredictability, drawing on the Fragile Families Study. Confirmatory factor analysis of presumed multiple indicators of each construct reveals an adequate three-factor structure of adversity. Theory-based targeted predictions of the developmental sequelae of each dimension also received empirical support, with deprivation linked to health problems and cognitive ability; threat linked to aggression; and unpredictability to substance use and sexual risk-taking. These findings lend credibility to utility of the three-dimensional integrative framework of adversity. It could thus inform development of dimensional measures of risk assessment and exploration of multidimensional adversity profiles, sensitive to individual differences in lived experiences, supporting patient-centered, strength-based approaches to services.

Combined tumor and immune signals from genomes or transcriptomes predict outcomes of checkpoint inhibition in melanoma

Immune checkpoint blockade (CPB) improves melanoma outcomes, but many patients still do not respond. Tumor mutational burden (TMB) and tumor-infiltrating T cells are associated with response, and integrative models improve survival prediction. However, integrating immune/tumor-intrinsic features using data from a single assay (DNA/RNA) remains underexplored. Here, we analyze whole-exome and bulk RNA sequencing of tumors from new and published cohorts of 189 and 178 patients with melanoma receiving CPB, respectively. Using DNA, we calculate T cell and B cell burdens (TCB/BCB) from rearranged TCR/Ig sequences and find that patients with TMBhigh and TCBhigh or BCBhigh have improved outcomes compared to other patients. By combining pairs of immune- and tumor-expressed genes, we identify three gene pairs associated with response and survival, which validate in independent cohorts. The top model includes lymphocyte-expressed MAP4K1 and tumor-expressed TBX3. Overall, RNA or DNA-based models combining immune and tumor measures improve predictions of melanoma CPB outcomes.

Prioritising Organisational Factors Impacting Cloud ERP Adoption and the Critical Issues Related to Security, Usability, and Vendors: A Systematic Literature Review

Cloud ERP is a type of enterprise resource planning (ERP) system that runs on the vendor’s cloud platform instead of an on-premises network, enabling companies to connect through the Internet. The goal of this study was to rank and prioritise the factors driving cloud ERP adoption by organisations and to identify the critical issues in terms of security, usability, and vendors that impact adoption of cloud ERP systems. The assessment of critical success factors (CSFs) in on-premises ERP adoption and implementation has been well documented; however, no previous research has been carried out on CSFs in cloud ERP adoption. Therefore, the contribution of this research is to provide research and practice with the identification and analysis of 16 CSFs through a systematic literature review, where 73 publications on cloud ERP adoption were assessed from a range of different conferences and journals, using inclusion and exclusion criteria. Drawing from the literature, we found security, usability, and vendors were the top three most widely cited critical issues for the adoption of cloud-based ERP; hence, the second contribution of this study was an integrative model constructed with 12 drivers based on the security, usability, and vendor characteristics that may have greater influence as the top critical issues in the adoption of cloud ERP systems. We also identified critical gaps in current research, such as the inconclusiveness of findings related to security critical issues, usability critical issues, and vendor critical issues, by highlighting the most important drivers influencing those issues in cloud ERP adoption and the lack of discussion on the nature of the criticality of those CSFs. This research will aid in the development of new strategies or the revision of existing strategies and polices aimed at effectively integrating cloud ERP into cloud computing infrastructure. It will also allow cloud ERP suppliers to determine organisations’ and business owners’ expectations and implement appropriate tactics. A better understanding of the CSFs will narrow the field of failure and assist practitioners and managers in increasing their chances of success.

Neural substrates of the executive function construct, age-related changes, and task materials in adolescents and adults: ALE meta-analyses of 408 fMRI studies

To explore the neural substrates of executive function (EF), we conducted an activation likelihood estimation meta-analysis of 408 functional magnetic resonance imaging studies (9639 participants, 7587 activation foci, 518 experimental contrasts) covering three fundamental EF subcomponents: inhibition, switching, and working memory. Our results found that activation common to all three EF subcomponents converged in the multiple-demand network across adolescence and adulthood. The function of EF with the multiple-demand network involved, especially for the prefrontal cortex and the parietal regions, could not be mature until adulthood. In adolescents, only working memory could be separable from common EF, whereas in adults, the three EF subcomponents could be separable from common EF. However, findings of switching in adolescents should be treated with substantial caution and may be exploratory due to limited data available on switching tasks. For task materials, inhibition and working memory showed both domain generality and domain specificity, undergirded by the multiple-demand network, as well as different brain regions in response to verbal and nonverbal task materials, respectively. In contrast, switching showed only domain generality with no activation specialized for either verbal or nonverbal task materials. These findings, taken together, support and contribute to the unitary-diverse nature of EF such that EF should be interpreted in an integrative model that relies on the integration of the EF construct, development, and task materials.

A Novel Prognostic Model of Endometrial Carcinoma Based on Clinical Variables and Oncogenomic Gene Signature

Due to the difficulty in predicting the prognosis of endometrial carcinoma (EC) patients by clinical variables alone, this study aims to build a new EC prognosis model integrating clinical and molecular information, so as to improve the accuracy of predicting the prognosis of EC. The clinical and gene expression data of 496 EC patients in the TCGA database were used to establish and validate this model. General Cox regression was applied to analyze clinical variables and RNAs. Elastic net-penalized Cox proportional hazard regression was employed to select the best EC prognosis-related RNAs, and ridge regression was used to construct the EC prognostic model. The predictive ability of the prognostic model was evaluated by the Kaplan-Meier curve and the area under the receiver operating characteristic curve (AUC-ROC). A clinical-RNA prognostic model integrating two clinical variables and 28 RNAs was established. The 5-year AUC of the clinical-RNA prognostic model was 0.932, which is higher than that of the clinical-alone (0.897) or RNA-alone prognostic model (0.836). This clinical-RNA prognostic model can better classify the prognosis risk of EC patients. In the training group (396 patients), the overall survival of EC patients was lower in the high-risk group than in the low-risk group [HR = 32.263, (95% CI, 7.707-135.058), P = 8e-14]. The same comparison result was also observed for the validation group. A novel EC prognosis model integrating clinical variables and RNAs was established, which can better predict the prognosis and help to improve the clinical management of EC patients.

Atoms to Phenotypes: Molecular Design Principles of Cellular Energy Metabolism

We report a 100-million atom-scale model of an entire cell organelle, a photosynthetic chromatophore vesicle from a purple bacterium, that reveals the cascade of energy conversion steps culminating in the generation of ATP from sunlight. Molecular dynamics simulations of this vesicle elucidate how the integral membrane complexes influence local curvature to tune photoexcitation of pigments. Brownian dynamics of small molecules within the chromatophore probe the mechanisms of directional charge transport under various pH and salinity conditions. Reproducing phenotypic properties from atomistic details, a kinetic model evinces that low-light adaptations of the bacterium emerge as a spontaneous outcome of optimizing the balance between the chromatophore's structural integrity and robust energy conversion. Parallels are drawn with the more universal mitochondrial bioenergetic machinery, from whence molecular-scale insights into the mechanism of cellular aging are inferred. Together, our integrative method and spectroscopic experiments pave the way to first-principles modeling of whole living cells.

Development and Validation of a Self-Assessment Tool for an Integrative Model of Health Promotion in Hospitals: Taiwan's Experience

The Health Promotion Administration of Taiwan launched an integrative certification initiative in 2016 to streamline a plural system of certifications of health promotion in hospitals. It endeavored to replace original certifications, thereby establishing the proposal of a self-assessment instrument to aid in this integration. This study aimed to verify the robustness of this self-assessment tool by conducting exploratory factor analyses through stratification, reliability tests, content and construct validity tests, and specialist evaluations, which were convened to judge the comprehensibility, applicability, and importance of the standards and measures of this tool. A stratified random sampling of 46 hospitals was performed to confirm the validity of this tool. The tool rendered a floor effect of 0% and a ceiling effect of 13%. A valid factor structure and internal consistency (α ranged from 0.88 to 0.96) in each standard were verified. Hospitals with previous certificates or with 300+ beds achieved high compliance scores. A majority of experts agreed that the sub-standards were comprehensible (≥80%), applicable (≥70%), and important (≥70%). Finally, we conclude that the self-assessment tool is valid and can serve as a reference for other countries with hospitals committed to health promotion in hospital settings.

Seeing the forest through different trees: A social psychological perspective of work addiction

We live in exciting times for the scientific study of work addiction, given its increased relevance and the diverse perspectives one might take to approach this phenomenon. Simultaneously, this field does not appear to be unified as a result of several misleading myths, which are addressed by the debate paper of Griffiths et al. (2018). In response, we would like to complement this study by proposing that the construct of interest should be more precisely identified in the context of related constructs and that an integrative framework should be applied, which is able to take into account not just the micro-level characteristics (i.e., individual differences), but meso- (i.e., environmental factors) and macro-level (i.e., societal factors) ones as well.

Autobiographical memory functions and posttraumatic stress symptoms across adulthood

Previous research has documented robust individual differences in the functions served by autobiographical memories, and shown that different autobiographical memory functions are related to both positive and negative indicators of psychological well-being, and that their frequency varies with age. In this study, we examined the unique relationship between autobiographical memory functions and posttraumatic stress symptoms (PTSS) and whether such relationships varied with age across adulthood. A representative sample of 1040 adult Danes (20-70 years old) reported the frequency with which they recall autobiographical memories for different purposes as well as their level of posttraumatic stress disorder (PTSD) symptoms. Higher reflective and ruminative functions, as well as lower social function, predicted higher levels of PTSS. There were no moderating effects of age. The results suggest that although the frequency of various autobiographical functions varies throughout the adult years, their association with PTSS is similar across adulthood.

A Test of an Integrative Model Using Social Factors and Personality Traits: Prediction on the Delinquency of South Korean Youth

To more fully comprehend juvenile delinquency, it is necessary to take an integrative approach, with consideration of both personality traits of social risk factors. Many scholars argue the necessity and strength of integrative approach on the ground that juvenile delinquency is an outcome of interplay of individual and social factors. The present study examines the general applicability of an integrative model of personal traits and social risk factors to youth delinquency in the South Korean context. The empirical results show that the delinquency predictors in the current South Korean sample are closely aligned to Loeber and Farrington's theoretical propositions and that found in Western nations. Perhaps this is because South Korea has undergone rapid Westernization for the last decades. Because the correlates in this sample and Western theoretical propositions and studies overlap, an integrative model of personality trait and social risk factors is indeed generally applicable to South Korea. This finding also depicts the extent of Westernization in the South Korean society at least among adolescents. Limitations of the present study and directions for the future study are discussed.

Simulating Human and Environmental Exposure from Hand-Held Knapsack Pesticide Application: Be-WetSpa-Pest, an Integrative, Spatially Explicit Modeling Approach

This paper presents an integrative and spatially explicit modeling approach for analyzing human and environmental exposure from pesticide application of smallholders in the potato-producing Andean region in Colombia. The modeling approach fulfills the following criteria: (i) it includes environmental and human compartments; (ii) it contains a behavioral decision-making model for estimating the effect of policies on pesticide flows to humans and the environment; (iii) it is spatially explicit; and (iv) it is modular and easily expandable to include additional modules, crops, or technologies. The model was calibrated and validated for the Vereda La Hoya and was used to explore the effect of different policy measures in the region. The model has moderate data requirements and can be adapted relatively easily to other regions in developing countries with similar conditions.

[An integrative model of the psychological benefits of gardening in older adults]

This review of the literature tackles the question of the psychological benefits linked to gardening in older adults. First, the current data on these benefits are reviewed, and the findings reveal that gardening is linked to feelings of accomplishment, well-being and peace, a decrease of depressive symptoms, a protective effect on cognitive functions as well as to the development of social links for community living older adults. In institutionalized older adults, gardening promotes internal locus of control and well-being, and is related to a decrease of sadness and anxiety. Second, several explanatory theories are discussed. All of them postulate an action on the cognitive and/or emotional spheres, which were included into a integrated model that must be tested in future research. In conclusion, gardening appears to be a beneficial activity for promoting older adults' functioning but the current knowledge still has to be extended to understand the specific mechanisms of action. This deeper understanding is necessary in order to improve the future actions depending on this activity.

Measurement Models for Reasoned Action Theory

Quantitative researchers distinguish between causal and effect indicators. What are the analytic problems when both types of measures are present in a quantitative reasoned action analysis? To answer this question, we use data from a longitudinal study to estimate the association between two constructs central to reasoned action theory: behavioral beliefs and attitudes toward the behavior. The belief items are causal indicators that define a latent variable index while the attitude items are effect indicators that reflect the operation of a latent variable scale. We identify the issues when effect and causal indicators are present in a single analysis and conclude that both types of indicators can be incorporated in the analysis of data based on the reasoned action approach.

Beliefs and intentions for skin protection and UV exposure in young adults

OBJECTIVE

To evaluate Fishbein's integrative model in predicting young adults' skin protection, sun exposure, and indoor tanning intentions.

METHODS

Two hundred twelve participants completed an online survey.

RESULTS

Damage distress, self-efficacy, and perceived control accounted for 34% of the variance in skin protection intentions. Outcome beliefs and low self-efficacy for sun avoidance accounted for 25% of the variance in sun exposure intentions. Perceived damage, outcome evaluation, norms, and indoor tanning prototype accounted for 32% of the variance in indoor tanning intentions.

CONCLUSIONS

Future research should investigate whether these variables predict exposure and protection behaviors and whether intervening can reduce young adults' skin cancer risk behaviors.

The Role of Communication with Friends in Sexual Initiation

This study identifies a theoretical mechanism through which communication with friends about sex influences sexual initiation in a sample of adolescents. The Integrative Model was used to assess the effect of attitudes, normative pressure and self efficacy on intentions to have sex in a sample of virgin adolescents. Results show that the constructs of the theory partially mediated the effect of communication with friends on subsequent sexual initiation. The effect of communication with friends on sexual initiation was not different for males and females. Overall, the results suggest how conversations with friends about sex influence adolescents' intentions to initiate sexual intercourse, which in turn influence subsequent sexual initiation.

A reasoned action approach to health promotion

This article describes the integrative model of behavioral prediction (IM), the latest formulation of a reasoned action approach. The IM attempts to identify a limited set of variables that can account for a considerable proportion of the variance in any given behavior. More specifically, consistent with the original theory of reasoned action, the IM assumes that intentions are the immediate antecedents of behavior, but in addition, the IM recognizes that environmental factors and skills and abilities can moderate the intention-behavior relationship. Similar to the theory of planned behavior, the IM also assumes that intentions are a function of attitudes, perceived normative pressure and self-efficacy, but it views perceived normative pressure as a function of descriptive as well as of injunctive (i.e., subjective) norms. After describing the theory and addressing some of the criticisms directed at a reasoned action approach, the paper illustrates how the theory can be applied to understanding and changing health related behaviors.