The primary purpose of this research was to examine associations between authenticity in relationships and romantic attachment and caregiving. Authenticity is approached as a relational phenomenon that is facilitated when individuals assume that truthful and open communication with one's partner will be reciprocally valued despite prospective risks. Items from the Authenticity in Relationship Scale (AIRS; Lopez & Rice, 2006) were translated to Portuguese, back-translated by a bilingual expert, and then reviewed by other researchers. Four hundred Portuguese participants (23-71 years old) in long-term intimate relationships completed the Portuguese version of the scale (AIRS-P) as well as the Romantic Attachment Questionnaire (Matos, Cabral, & Costa, 2008) and the Caregiving Questionnaire (Torres & Oliveira, 2010). A few items from the original AIRS loaded poorly in the Portuguese sample. However, confirmatory factor analysis of the AIRS-P established the presence of the 2 original underlying factors: unacceptability of deception and intimate risk taking. Structural equation modeling results indicated that authenticity in relationships is linked in expected ways to romantic attachment and caregiving to a partner. The correlates found in this Portuguese sample are similar to those found in previous research with American samples, suggesting cross-cultural consistency in the nature of authenticity. (PsycINFO Database Record
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1037/cou0000128 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
A single-cell sequencing-based analysis of a 13-year-old with maxillary sinus NUT carcinoma.
Oral Oncol
January 2025
Clinical Research Center (CRC), Medical Pathology Center (MPC), Cancer Early Detection and Treatment Center (CEDTC) and Translational Medicine Research Center (TMRC), Chongqing University Three Gorges Hospital, Chongqing University, Wanzhou District, Chongqing 404100, China; Chongqing Technical Innovation Center for Quality Evaluation and Identification of Authentic Medicinal Herbs, Wanzhou District, Chongqing 404100, China; School of Medicine Chongqing University, Chongqing University, Shapingba District, Chongqing 400030, China. Electronic address:
NUT carcinoma is a rare and highly aggressive malignancy, predominantly affecting adolescents and young adults. This tumor demonstrates rapid progression, resistance to conventional anti-cancer treatments, and an extremely poor prognosis. Currently, research on NUT carcinoma is limited, and effective treatment options remain scarce.
View Article and Find Full Text PDFGenomic analysis of three medieval parchments from German monasteries.
Sci Rep
January 2025
Breeding Informatics Group, Department of Animal Sciences, Georg-August University, 37075, Göttingen, Germany.
In the last two decades there has been growing interest in the analysis of ancient DNA obtained from the parchment used in historic documents. The genetic insight that this data provides makes collections of historic documents an invaluable source for studying the development and spread of historical livestock populations. Additionally, the biological data may provide new information for the historical analysis that could be used to determine the provenance as well as the authenticity of these documents.
View Article and Find Full Text PDFCharacterization of saffron from different origins by HS-GC-IMS and authenticity identification combined with deep learning.
Food Chem X
December 2024
School of Pharmacy, Naval Medical University, Shanghai 200433, China.
With the rising demand of saffron, it is essential to standardize the confirmation of its origin and identify any adulteration to maintain a good quality led market product. However, a rapid and reliable strategy for identifying the adulteration saffron is still lacks. Herein, a combination of headspace-gas chromatography-ion mobility spectrometry (HS-GC-IMS) and convolutional neural network (CNN) was developed.
View Article and Find Full Text PDFGenerative AI in Higher Education: Balancing Innovation and Integrity.
Br J Biomed Sci
January 2025
Department of Biosciences and Chemistry, Sheffield Hallam University, Sheffield, United Kingdom.
Generative Artificial Intelligence (GenAI) is rapidly transforming the landscape of higher education, offering novel opportunities for personalised learning and innovative assessment methods. This paper explores the dual-edged nature of GenAI's integration into educational practices, focusing on both its potential to enhance student engagement and learning outcomes and the significant challenges it poses to academic integrity and equity. Through a comprehensive review of current literature, we examine the implications of GenAI on assessment practices, highlighting the need for robust ethical frameworks to guide its use.
View Article and Find Full Text PDFA comprehensive quantitative LC-MS/MS method for rapid gelatin source identification in food products: Comparison with PCR.
Food Res Int
February 2025
New Hazardous Substances Division, National Institute of Food and Drug Safety Evaluation, Ministry of Food and Drug Safety, Osong, Cheongju, Chungcheongbuk-do 28159, Republic of Korea. Electronic address:
Authentication of gelatin sources are required for cultural beliefs and food integrity. This paper describes a sensitive and rapid detection of gelatin sources using liquid chromatography-tandem mass spectrometry (LC-MS/MS) method. The specific peptide markers were adopted to accurately identify bovine and porcine gelatin in pharmaceutical capsules and jellies.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!