scholarly journals Why Can’t I Resist Those “Puppy Dog” (or “Kitty Cat”) Eyes? A Study of Owner Attachment and Factors Associated with Pet Obesity

Animals ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 539
Author(s):  
Anthony E. Coy ◽  
Jeffrey D Green ◽  
Anna Maria C. Behler
Keyword(s):  
Body Condition ◽  
Attachment Anxiety ◽  
Future Research ◽  
Unique Role ◽  
Factors Associated ◽  
Caregiver Relationship ◽  
Pet Owners ◽  
Starting Point ◽  
Evaluation Concern ◽  
Patterns Of Interaction

Attachment theory posits that patterns of interaction derived from the attachment system provide a starting point for understanding how people both receive and provide care. Extending this theory to human-animal interactions provides insights into how human psychology affects pets, such as pet obesity. The goal of this study was to determine how attachment anxiety and avoidance might contribute to pet obesity. We assessed 563 pet owners’ attachment-related anxiety and avoidance, as well as additional attachment-related constructs (emotional rejection, evaluation concern, caregiving, and attentiveness to a pet). We also assessed various factors associated with pet obesity, including weight, body condition, daily treats, and daily interaction. The results indicate that dog owners high in attachment anxiety are concerned about how their pet may evaluate them, leading to more caregiving and attentiveness that results in more treats given per day, and a larger body condition (but not weight). In addition, owners high in attachment avoidance may seek to downplay the possibility of the dog negatively evaluating them, thus providing more negligent care. These findings suggest that attachment plays a unique role in shaping the pet-caregiver relationship and influences various elements that contribute to pet obesity, particularly in dogs. As such, the findings may lend a novel perspective to strategies for reducing pet obesity and provide a framework for future research into pet health.

Anxiety Sensitivity Mediates Relations Between Attachment and Aggression Differently by Gender

2016 ◽  
Vol 35 (1-2) ◽  
pp. 364-383 ◽  
Author(s):  
Margo C. Watt ◽  
Catherine E. Gallagher ◽  
Marie-Eve Couture ◽  
Robyn Wells ◽  
Kim MacLean
Keyword(s):  
Anxiety Sensitivity ◽  
Attachment Anxiety ◽  
Future Research ◽  
Emotional States ◽  
Unique Role ◽  
Mediating Role ◽  
Impulsive Aggression ◽  
Aggression Questionnaire ◽  
Attachment Dimensions ◽  
Significant Mediator

The present study examined relations among attachment, aggression, and anxiety sensitivity (AS) in a sample of male and female undergraduates. Given that some individuals may use aggression to modulate negative emotional states, it was predicted that AS dimensions would mediate relations between attachment anxiety (vs. attachment avoidance) and certain forms of aggression, particularly impulsive aggression. Moreover, it was hypothesized that the relations among attachment, aggression, and AS would be moderated by gender. Participants ( N = 1,042) completed measures of attachment (Experiences in Close Relationships–Revised [ECR-R]), aggression (Aggression Questionnaire [AQ]; Impulsive/Premeditated Aggression Scales [IPAS]), and AS (AS Index–3 [ASI-3]). Results indicated that AS mediated relations between attachment dimensions (both anxiety and avoidance) and most forms of aggression, with each of the AS dimensions playing a unique role differentially by gender. Cognitive concerns emerged as a significant mediator, particularly for men; physical and social concerns played more of a mediating role for women. Interestingly, none of the AS dimensions played a significant mediating role between attachment (either anxiety or avoidance) and physical aggression for men. Results are discussed in terms of their clinical implications and directions for future research.

A Scoping Review of Resilience in Survivors of Human Trafficking

2021 ◽  
pp. 152483802098556
Author(s):  
Logan Knight ◽  
Yitong Xin ◽  
Cecilia Mengo
Keyword(s):  
Interpersonal Relationships ◽  
Scoping Review ◽  
National Origin ◽  
Future Research ◽  
Research Needs ◽  
Standardized Measures ◽  
Factors Associated ◽  
Current State ◽  
Case Files ◽  
Sexual Trafficking

Resilience is critical among survivors of trafficking as they are mostly vulnerable populations who face multiple adversities before, during, and after trafficking. However, resilience in survivors of trafficking is understudied. This scoping review aims to clarify the current state of knowledge, focusing on definitions of resilience, how resilience has been studied, and factors associated with resilience among survivors. Five databases were searched using key words related to trafficking and resilience. Studies were included if they were published in English between 2000 and 2019 and focused on resilience with the study design including at least one of these four features: (a) use of standardized measures of resilience, (b) qualitative descriptions of resilience, (c) participants were survivors or professionals serving survivors, and (d) data sources such as case files or program manuals directly pertained to survivors. Eighteen studies were identified. Findings indicated that resilience was primarily described as emergent from interactions between the survivor and the environment. Resilience in trafficking appeared largely similar to resilience in other kinds of victimization. Nonetheless, trafficking survivors also may display resilience in alternative ways such as refusing treatment. Positive interpersonal relationships were the most commonly mentioned resilience factor. In addition, current research lacks studies featuring longitudinal designs, interventions, participatory methods, types of trafficking other than sexual trafficking, and demographic characteristics such as age, gender, and national origin. Future research needs to establish definitions and measures of resilience that are culturally and contextually relevant to survivors and build knowledge necessary for designing and evaluating resilience-enhancing interventions.

scholarly journals Consumer Neuroscience Techniques in Advertising Research: A Bibliometric Citation Analysis

2021 ◽  
Vol 13 (3) ◽  
pp. 1589
Author(s):  
Juan Sánchez-Fernández ◽  
Luis-Alberto Casado-Aranda ◽  
Ana-Belén Bastidas-Manzano
Keyword(s):  
Self Report ◽  
Future Research ◽  
Complex Nature ◽  
Clear Understanding ◽  
Continuous Growth ◽  
Main Research ◽  
Consumer Neuroscience ◽  
Starting Point ◽  
Wide Range ◽  
Performance Analysis Tools

The limitations of self-report techniques (i.e., questionnaires or surveys) in measuring consumer response to advertising stimuli have necessitated more objective and accurate tools from the fields of neuroscience and psychology for the study of consumer behavior, resulting in the creation of consumer neuroscience. This recent marketing sub-field stems from a wide range of disciplines and applies multiple types of techniques to diverse advertising subdomains (e.g., advertising constructs, media elements, or prediction strategies). Due to its complex nature and continuous growth, this area of research calls for a clear understanding of its evolution, current scope, and potential domains in the field of advertising. Thus, this current research is among the first to apply a bibliometric approach to clarify the main research streams analyzing advertising persuasion using neuroimaging. Particularly, this paper combines a comprehensive review with performance analysis tools of 203 papers published between 1986 and 2019 in outlets indexed by the ISI Web of Science database. Our findings describe the research tools, journals, and themes that are worth considering in future research. The current study also provides an agenda for future research and therefore constitutes a starting point for advertising academics and professionals intending to use neuroimaging techniques.

scholarly journals Application of the Socio-Ecological System Framework to Forest Fire Risk Management: A Systematic Literature Review

2021 ◽  
Vol 13 (4) ◽  
pp. 2121 ◽  
Author(s):  
Ingrid Vigna ◽  
Angelo Besana ◽  
Elena Comino ◽  
Alessandro Pezzoli
Keyword(s):  
Risk Management ◽  
Community Involvement ◽  
Forest Ecosystems ◽  
Local Community ◽  
Fire Risk ◽  
Future Research ◽  
Specific Reference ◽  
Clear Understanding ◽  
Wildfire Risk ◽  
Starting Point

Although increasing concern about climate change has raised awareness of the fundamental role of forest ecosystems, forests are threatened by human-induced impacts worldwide. Among them, wildfire risk is clearly the result of the interaction between human activities, ecological domains, and climate. However, a clear understanding of these interactions is still needed both at the global and local levels. Numerous studies have proven the validity of the socioecological system (SES) approach in addressing this kind of interdisciplinary issue. Therefore, a systematic review of the existing literature on the application of SES frameworks to forest ecosystems is carried out, with a specific focus on wildfire risk management. The results demonstrate the existence of different methodological approaches that can be grouped into seven main categories, which range from qualitative analysis to quantitative spatially explicit investigations. The strengths and limitations of the approaches are discussed, with a specific reference to the geographical setting of the works. The research suggests the importance of local community involvement and local knowledge consideration in wildfire risk management. This review provides a starting point for future research on forest SES and a supporting tool for the development of a sustainable wildfire risk adaptation and mitigation strategy.

scholarly journals Enhancing Internet Search Abilities for People with Intellectual Disabilities in Sri Lanka

2021 ◽  
Vol 14 (2) ◽  
pp. 1-36
Author(s):  
Theja K. Arachchi ◽  
Laurianne Sitbon ◽  
Jinglan Zhang ◽  
Ruwan Gamage ◽  
Priyantha Hewagamage
Keyword(s):  
Young Adults ◽  
Sri Lanka ◽  
Visual Memory ◽  
Web Search ◽  
Future Research ◽  
Learning Needs ◽  
Learning Tools ◽  
Structured Interviews ◽  
Starting Point ◽  
Google Search

This article presents how young adults with intellectual disability (ID) from Sri Lanka, who had not previously used the Internet, interacted with Google search while enhancing their web search abilities throughout three web search workshops. Considering the little attention paid to the learning needs of people with ID in the current offering of web search learning tools, we iteratively developed a suite of learning tools to support our participants when they need help in the web search workshops. We employed an iterative participatory approach, with observations and semi-structured interviews, to reflect on how to design eLearning tools that enhance the participants’ interactions with web search. The qualitative thematic analysis resulted in five distinct themes on strategies to support, build on, and develop the abilities of young adults with IDs as they engage with Google search in their native language: application of existing abilities, basic skills to match learning needs, conceptual understanding, animations to facilitate visual memory, and promoting active engagement. These themes will be a starting point for understanding participants’ learning needs and behavior on web search, which would be important for future research on learning support as well as on software design.

scholarly journals A Bibliometric Analysis of the Global Trend of Using Alginate, Gelatine, and Hydroxyapatite for Bone Tissue Regeneration Applications

Polymers ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 647
Author(s):  
Mohamed Saiful Firdaus Hussin ◽  
Aludin Mohd Serah ◽  
Khairul Azri Azlan ◽  
Hasan Zuhudi Abdullah ◽  
Maizlinda Izwana Idris ◽  
...  
Keyword(s):  
Tissue Engineering ◽  
Bone Tissue Engineering ◽  
Bone Tissue ◽  
Bibliometric Analysis ◽  
Research Work ◽  
The United States ◽  
Research Area ◽  
Bone Tissue Regeneration ◽  
Future Research ◽  
Starting Point

Collecting information from previous investigations and expressing it in a scientometrics study can be a priceless guide to getting a complete overview of a specific research area. The aim of this study is to explore the interrelated connection between alginate, gelatine, and hydroxyapatite within the scope of bone tissue and scaffold. A review of traditional literature with data mining procedures using bibliometric analyses was considered to identify the evolution of the selected research area between 2009 and 2019. Bibliometric methods and knowledge visualization technologies were implemented to investigate diverse publications based on the following indicators: year of publication, document type, language, country, institution, author, journal, keyword, and number of citations. An analysis using a bibliometric study found that 7446 papers were located with the keywords “bone tissue” and “scaffold”, and 1767 (alginate), 185 (gelatine), 5658 (hydroxyapatite) papers with those specific sub keywords. The number of publications that relate to “tissue engineering” and bone more than doubled between 2009 (1352) and 2019 (2839). China, the United States and India are the most productive countries, while Sichuan University and the Chinese Academy of Science from China are the most important institutions related to bone tissue scaffold. Materials Science and Engineering C is the most productive journal, followed by the Journal of Biomedical Materials Research Part A. This paper is a starting point, providing the first bibliometric analysis study of bone tissue and scaffold considering alginate, gelatine and hydroxyapatite. A bibliometric analysis would greatly assist in giving a scientific insight to support desired future research work, not only associated with bone tissue engineering applications. It is expected that the analysis of alginate, gelatine and hydroxyapatite in terms of 3D bioprinting, clinical outcomes, scaffold architecture, and the regenerative medicine approach will enhance the research into bone tissue engineering in the near future. Continued studies into these research fields are highly recommended.

Risk Factors for CKD Progression

2020 ◽  
pp. CJN.07830520
Author(s):  
Mary Hannan ◽  
Sajid Ansari ◽  
Natalie Meza ◽  
Amanda H. Anderson ◽  
Anand Srivastava ◽  
...  
Keyword(s):  
Risk Factors ◽  
Genome Wide Association Study ◽  
Healthy Lifestyle ◽  
Interdisciplinary Collaboration ◽  
Fibroblast Growth Factor 23 ◽  
Kidney Injury ◽  
The United States ◽  
Future Research ◽  
Ckd Progression ◽  
Factors Associated

The Chronic Renal Insufficiency Cohort (CRIC) Study is an ongoing, multicenter, longitudinal study of nearly 5500 adults with CKD in the United States. Over the past 10 years, the CRIC Study has made significant contributions to the understanding of factors associated with CKD progression. This review summarizes findings from longitudinal studies evaluating risk factors associated with CKD progression in the CRIC Study, grouped into the following six thematic categories: (1) sociodemographic and economic (sex, race/ethnicity, and nephrology care); (2) behavioral (healthy lifestyle, diet, and sleep); (3) genetic (apoL1, genome-wide association study, and renin-angiotensin-aldosterone system pathway genes); (4) cardiovascular (atrial fibrillation, hypertension, and vascular stiffness); (5) metabolic (fibroblast growth factor 23 and urinary oxalate); and (6) novel factors (AKI and biomarkers of kidney injury). Additionally, we highlight areas where future research is needed, and opportunities for interdisciplinary collaboration.

IPO Underpricing: A Meta-Analysis and Research Synthesis

2003 ◽  
Vol 27 (3) ◽  
pp. 271-295 ◽  
Author(s):  
Catherine M. Daily ◽  
S. Trevis Certo ◽  
Dan R. Dalton ◽  
Rungpen Roengpitya
Keyword(s):  
Initial Public Offerings ◽  
Meta Analysis ◽  
Research Synthesis ◽  
Future Research ◽  
Popular Press ◽  
Ipo Underpricing ◽  
Public Offerings ◽  
Factors Associated ◽  
Significant Relationships ◽  
Dot Com

Initial public offerings (IPOs) have been a prominent focus of academic and popular press attention, especially in recent years. Much of this attention can be attributed to the increase in IPO activity as a function of the “dot com” phenomenon. Of particular interest to both academics and practitioners is IPO underpricing. Review of existing research suggests little consensus regarding those factors associated with underpricing. We provide a meta-analysis of published studies. Our findings reveal a number of significant relationships, many of which are opposite that predicted by signaling theory. Implications of these findings for practice and future research are discussed.

Cervical insufficiency: a noteworthy disease with controversies

2020 ◽  
Vol 48 (7) ◽  
pp. 648-655
Author(s):  
Yu Han ◽  
Mengnan Li ◽  
Huijing Ma ◽  
Hailan Yang
Keyword(s):  
Risk Factors ◽  
Diagnosis And Treatment ◽  
Practical Significance ◽  
Future Research ◽  
Cervical Insufficiency ◽  
Factors Associated ◽  
The World ◽  
Potential Risk Factors ◽  
Recurrent Pregnancy Losses ◽  
Recurrent Abortions

AbstractCervical insufficiency (CI) is a mainly disease leading to recurrent abortions and preterm birth which may present in about 1% of obstetric populations. Recurrent pregnancy losses caused by CI incur serious economic burdens on society as well as huge psychological burdens to family members. However, many patients even clinicians in some areas of the world still remain confused about this disease. At the same time, the etiology of CI is still uncertain and it is still a controversial disease in diagnosis and treatment. This article summarizes the potential risk factors associated with CI, which could be worthy of attention and helpful for future research. It also reviews the methods for diagnosis and treatment of CI to better understand this noteworthy disease, as well as presents the related consensus and controversies according to the newly updated guidelines, which has practical significance for conducting more in-depth investigations in the future.

Automatic diagnosis of primary headaches by machine learning methods

Open Medicine ◽  
2013 ◽  
Vol 8 (2) ◽  
pp. 157-165 ◽  
Author(s):  
Bartosz Krawczyk ◽  
Dragan Simić ◽  
Svetlana Simić ◽  
Michał Woźniak
Keyword(s):  
Machine Learning ◽  
Negative Impact ◽  
Life Quality ◽  
Primary Headache ◽  
Machine Learning Techniques ◽  
Future Research ◽  
Common Disease ◽  
Primary Headaches ◽  
Starting Point ◽  
Headache Diagnosis

AbstractPrimary headaches are common disease of the modern society and it has high negative impact on the productivity and the life quality of the affected person. Unfortunately, the precise diagnosis of the headache type is hard and usually imprecise, thus methods of headache diagnosis are still the focus of intense research. The paper introduces the problem of the primary headache diagnosis and presents its current taxonomy. The considered problem is simplified into the three class classification task which is solved using advanced machine learning techniques. Experiments, carried out on the large dataset collected by authors, confirmed that computer decision support systems can achieve high recognition accuracy and therefore be a useful tool in an everyday physician practice. This is the starting point for the future research on automation of the primary headache diagnosis.

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