Dataset Information

Smartphone Addiction Inventory (SPAI): Translation, adaptation and validation of the tool in Spanish adult population.

ABSTRACT: The wide functionality and the vast range of attributes offered by smartphones has led to a substantial increase in the average amount of time these devices are used per day. An excessive use of these tools has been shown to result in symptomatology similar to psychological disorders caused by substance addiction. In Spain, smartphone use has risen exponentially but the effects of this increase remain unclear. Therefore, an instrument is required to help determine the extent of smartphone addiction in the Spanish population. The Smartphone Addiction Inventory (SPAI) is a valid and reliable mean to identify and measure smartphone addiction and so, the aim of this research is the translation and adaptation of SPAI to Spanish, as well as the analysis of its psychometric properties in a Spanish adult population of 2,958 adults, at the University of Valencia. A multiphase-interactive model has been used, based on classical translation-back-translation methods to translate and adapt the SPAI. Moreover, a confirmatory factor analysis to verify that the inventory showed acceptable goodness of fit indices (?2293 = 4795.909, Comparative Fit Index = 0.927, Tucker-Lewis Index = 0.919, Root Mean Square Error of approximation = 0.072, and Standardised Root Mean square Residual = 0.051) has been carried out. Also good reliability has been found for the global inventory (Cronbach's alpha = 0.949), and each of its corresponding factors: compulsive behaviour, functional impairment, abstinence, and tolerance (Cronbach's alpha = 0.856, 0.888, 0.855, and 0.712, respectively). Hence, the SPAI has been adequately translated and adapted for its use in Spain and therefore it is a useful tool for evaluating the degree of smartphone addiction in the Spanish adult population.

SUBMITTER: Simo-Sanz C

PROVIDER: S-EPMC6192628 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Smartphone Addiction Inventory (SPAI): Translation, adaptation and validation of the tool in Spanish adult population.

Simó-Sanz Conchín C Ballestar-Tarín M ª Luisa MªL Martínez-Sabater Antonio A

PloS one 20181017 10

The wide functionality and the vast range of attributes offered by smartphones has led to a substantial increase in the average amount of time these devices are used per day. An excessive use of these tools has been shown to result in symptomatology similar to psychological disorders caused by substance addiction. In Spain, smartphone use has risen exponentially but the effects of this increase remain unclear. Therefore, an instrument is required to help determine the extent of smartphone addict ...[more]

PMID: 30332481

Similar Datasets

Project description:In some people, problematic cell phone use can lead to situations in which they lose control, similar to those observed in other cases of addiction. Although different scales have been developed to assess its severity, we lack an instrument that is able to determine the desire or craving associated with it. Thus, with the objective of evaluating craving for cell phone use, in this study, we develop and present the Mobile Phone Addiction Craving Scale (MPACS). It consists of eight Likert-style items, with 10 response options, referring to possible situations in which the interviewee is asked to evaluate the degree of restlessness that he or she feels if the cell phone is unavailable at the moment. It can be self-administered or integrated in an interview when abuse or problems are suspected. With the existence of a single dimension, reflected in the exploratory factor analysis (EFA), the scale presents adequate reliability and internal consistency (??=?0.919). Simultaneously, we are able to show significantly increased correlations (r?=?0.785, p?=?0.000) with the Mobile Phone Problematic Use Scale (MPPUS) and state anxiety (r?=?0.330, p?=?0.000). We are also able to find associations with impulsivity, measured using the urgency, premeditation, perseverance, and sensation seeking scale, particularly in the dimensions of negative urgency (r?=?0.303, p?=?0.000) and positive urgency (r?=?0.290, p?=?0.000), which confirms its construct validity. The analysis of these results conveys important discriminant validity among the MPPUS user categories that are obtained using the criteria by Chow et al. (1). The MPACS demonstrates higher levels of craving in persons up to 35?years of age, reversing with age. In contrast, we do not find significant differences among the sexes. Finally, a receiver operating characteristic (ROC) analysis allows us to establish the scores from which we are able to determine the different levels of craving, from the absence of craving to that referred to as addiction. Based on these results, we can conclude that this scale is a reliable tool that complements ongoing studies on problematic cell phone use.

Project description:BackgroundAs female genital cosmetic surgeries have significantly increased, appropriate tools to evaluate self-esteem about women's own genitalia are necessary.Aimto translate, culturally adapt to Spanish women and to evaluate the psychometric properties of the Female Genital Self-Image Scale (FGSIS).MethodsFGSIS was forward and backward translated, culturally adapted into Spanish and its content evaluated through Delphi consensus. One item from the original scale was discarded after expert panel evaluation, developing the final Spanish scale (FGSIS-S) consisting of 6 items. Its psychometric properties were evaluated among 202 women attending gynecological consults through an online survey. The survey included socio-demographic data and FGSIS-S.Main outcome measureSocio-demographic items, psychometric characteristics of the FGSIS-S (construct evaluation, internal consistency and test-retest reliability) were assessed.ResultsFGSIS-S proved to relate appropriately with the proposed construct (sum-content validity index 0.9, and significant inverse correlation with women concerned about their genital appearance or considering cosmetic surgery) with a 1-factor solution on exploratory factor analysis. The test proved good internal consistency (McDonald's omega 0.86) and test-retest reliability (intraclass correlation 0.86, P < .001). In 41.1% of cases, women referred concern about their genital's self-image and in 12.4% had considered undergoing cosmetic surgery.Clinical translationThe validated version of FGSIS-S can help both professionals and patients, and its implementation can be easily made in gynecological consults.Strengths and limitationsThe main limitation is a self-selection bias in women attending gynecological consults, who may be more worried about their gynecological/sexual health. The sample is also a relatively homogeneous Caucasian population, with medium-high educational level, coming from gynecological consults. Strengths include the large sample size and the demographic survey that permitted evaluating the performance of FGSIS-S in the context of concern about genitals or consideration of cosmetic surgery.ConclusionFGSIS-S is an adequate scale to measure women's genital image self-perception in Spanish-speaking population of Spain. Bartolomé A, Villalaín C, Bermejo R, et al. Spanish Translation, Transcultural Adaptation, Validation and Clinical Applicability of Female Genital-Self Image Scale (FGSIS). Sex Med 2022;10:100558.

Project description:BackgroundThe Multidimensional Fatigue Inventory (MFI-20) was developed in 1995. Since then, it has been widely used in cancer research and cancer-related illnesses but has never been validated in fatiguing illnesses or in a large US population-selected sample. In this study, we sought to examine the reliability and validity of the MFI-20 in the population of the state of Georgia, USA. Further, we assessed whether the MFI-20 could serve as a complementary diagnostic tool in chronically fatigued and unwell populations.MethodsThe data derive from a cross-sectional population-based study investigating the prevalence of chronic fatigue syndrome (CFS) in Georgia. The study sample was comprised of three diagnostic groups: CFS-like (292), chronically unwell (269), and well (222). Participants completed the MFI-20 along with several other measures of psychosocial functioning, including the Medical Outcomes Survey Short Form-36 (SF-36), the Zung Self-Rating Depression Scale (SDS), and the Spielberger State-Trait Anxiety Inventory (STAI). We assessed the five MFI-20 subscales using several criteria: inter-item correlations, corrected item-total correlations, internal consistency reliability (Cronbach's alpha coefficients), construct validity, discriminant (known-group) validity, floor/ceiling effects, and convergent validity through correlations with the SF-36, SDS, and STAI instruments.ResultsAveraged inter-item correlations ranged from 0.38 to 0.61, indicating no item redundancy. Corrected item-total correlations for all MFI-20 subscales were greater than 0.30, and Cronbach's alpha coefficients achieved an acceptable level of 0.70. No significant floor/ceiling effect was observed. Factor analysis demonstrated factorial complexity. The MFI-20 also distinguished clearly between three diagnostic groups on all subscales. Furthermore, correlations with depression (SDS), anxiety (STAI), and functional impairment (SF-36) demonstrated strong convergent validity.ConclusionsThis study provides support for the MFI-20 as a valuable tool when used in chronically unwell and well populations. It also suggests that the MFI-20 could serve as a complementary diagnostic tool in fatiguing illnesses, such as CFS.

Project description:BackgroundThe Anterior Cruciate Ligament-Quality of Life (ACL-QOL) questionnaire is a patient-reported outcome measure used to assess the effect of an anterior cruciate ligament (ACL) injury on the lives of patients. It was originally written in English, which may affect its use when completed by nonnative English speakers.PurposeTo translate and adapt the ACL-QOL to Spanish and provide evidence of its psychometric properties.Study designCohort study (diagnosis); Level of evidence, 2.MethodsA total of 183 patients with an ACL injury from 4 Catalan hospitals were included: 99 patients who had undergone ACL reconstruction (ACLR) completed the Spanish version of the ACL-QOL (ACL-QOL-Sp) twice (mean interval, 15.2 days) in 2 weeks for test-retest reliability, and 84 patients completed the ACL-QOL-Sp, the Lysholm knee scoring scale, the Knee injury and Osteoarthritis Outcome Score (KOOS), Tegner Activity Scale, and the 12-item Short Form Health Survey (SF-12) before and at 4 and 9 months after ACLR to assess responsiveness. The association between the ACL-QOL-Sp and the other outcome measures was evaluated with the Spearman correlation coefficient.ResultsThe ACL-QOL-Sp showed good internal consistency (Cronbach alpha = 0.96) and test-retest reliability (intraclass correlation coefficient = 0.97). The standard error of measurement was 3.6, also suggesting the precision of measurements. The smallest detectable change was 9.98 in 94% of patients. No association was found between the ACL-QOL-Sp score and the Tegner score or SF-12 mental component summary score; however, a moderate correlation was found with the overall KOOS score (r = -0.545), Lysholm score (r = 0.509), and SF-12 physical component summary score (r = 0.607). The correlation ranged from weak for the KOOS-Symptoms subscore (r = -0.290) to moderate for the KOOS-Quality of Life subscore (r = -0.698). No ceiling or floor effects were observed. The ACL-QOL-Sp showed a moderate effect size (0.73) at 4 months but a large effect size (1.70) at 9 months.ConclusionThe ACL-QOL-Sp showed adequate internal consistency, test-retest reliability, and responsiveness in evaluating quality of life after ACLR in Spanish-speaking patients.

Dataset Information

Smartphone Addiction Inventory (SPAI): Translation, adaptation and validation of the tool in Spanish adult population.

Publications

Smartphone Addiction Inventory (SPAI): Translation, adaptation and validation of the tool in Spanish adult population.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets