A Fullerton Functional Fitness Test-based exercise intervention for older adults yields quick physical and psychological benefits.

OBJECTIVES: Functional fitness is essential for healthy living in older adults. Specially targeted fitness programs might be the most beneficial. This intervention study aimed to assess the efficacy of a specific 16-week exercise program in improving functions as measured by the Fullerton Functional Fitness Test (FFFT), also known as the Senior Test, in older adults. PARTICIPANTS: Thirty-eight participants (66 % women, Mage = 80.15, SD = 7.21) were randomized into an exercise group (n = 24) and a waiting list control group (n = 14). The exercise group trained three times a week for 1 h. METHODS: Objective tests (FFFT and handgrip power) and subjective psychological measures (life satisfaction, resilience, happiness, perceived stress, and well-being) were obtained at baseline, after eight weeks, and after 16 weeks. The data were analyzed using mixed-effect regression models. RESULTS: The results yielded statistically significant group-by-time interactions in all models, indicating improvements in physical and psychological measures over time in the treatment group compared to the control group. Significant differences between the groups in the estimated marginal means (with adjusted 95 % confidence intervals) emerged after 16 weeks in happiness (-3.5 [-6.5, -0.4]), resilience (-5.5 [-9.9, -1.2]), perceived stress (2.2 [0.2, 4.2]), well-being (-5.8 [-7.9, -3.6]), upper limb strength (-5.7 [-9.0, -2.4]), upper body flexibility (-8.7 [-16.4, -1.0]), and agility and balance (4.6 [1.2, 8.1]). Except for happiness and resilience, these differences surfaced already after eight weeks. CONCLUSION: The here-employed 16-week exercise program, targeting the test elements of the FFFT, efficiently induced physical and mental improvements in older adults.

Are Cyberchondria and Intolerance of Uncertainty Related to Smartphone Addiction?

Smartphones are a medium for performing online activities, and one such activity could be the compulsive online health information search - cyberchondria. This study aimed to test whether cyberchondria and intolerance of uncertainty (IU) positively predict smartphone addiction (SA), adjusted for age, gender, daily use duration, the reason for using smartphones, and symptoms of anxiety and depression. The sample consisted of 471 adults (55.2% women) from the general population without chronic diseases (Mage = 38.67). Regression analysis showed that IU was a positive predictor of SA (ß = .17, p < .001), as well as cyberchondria (ß = .14, p < .001), which had a unique contribution to the explanation of SA, relative to IU. Other significant predictors were average daily smartphone use and entertainment use, the latter being the strongest predictor in the model. These results revealed cyberchondria as a unique predictor of SA.

Hedonic use, stress, and life satisfaction as predictors of smartphone addiction.

This study examined the relationship between hedonic smartphone use (entertainment, social media, games), perceived life stress, and satisfaction with life with smartphone addiction (SA). We tested the connections using structural equation modeling (SEM) on questionnaire data obtained from 410 participants (73.2% women). Results indicated a good overall fit of the model (χ2 (36) = 58.06, p = .011; CFI = 0.970, TLI = 0.954, RMSEA[90% CI] = 0.039 [0.019, 0.056], SRMR = 0.037). Perceived stress and hedonic use were positive predictors of SA (ß = 0.264, p = .001 and ß = 0.176, p = .002, respectively). Satisfaction with life did not directly predict SA, but an indirect effect, via perceived stress, was statistically significant (ß = -0.146, p = .001). Women showed greater SA than men, but the effect of age was not significant. Perceived stress was negatively predicted by satisfaction with life, and positively by hedonic use. Based on the compensatory internet use theory, hedonic or non-utilitarian smartphone use might be associated with SA. The study concludes that being female, hedonic smartphone use, and perceived life stress predict SA.

Cross-cultural Validity of the Reactive-Proactive Aggression Questionnaire Among Adults Across Five Countries.

This study aims to test psychometric properties and factor invariance of the Reactive-Proactive Aggression Questionnaire (RPQ) for adults across five countries: Serbia (N = 409), Mauritius (N = 400), the United States (N = 389), the Netherlands (N = 372), and China (N = 325). The results supported the two-factor structure across country samples, with a marginal model fit in Mauritius. Results also supported the congruent factor structure of Reactive Aggression scale across countries, while the Proactive Aggression scale can be considered as equal across samples from Serbia, the United States, and China, but not from Mauritius and the Netherland. Among items from the Proactive Aggression scale, those referring to open aggression aimed at obtaining social status and dominance, frightening or harming others, obtained the highest loadings across all samples and could be considered as the good representatives of adult proactive aggression. This is the first study in which cross-cultural validation of the RPQ among adults has been tested and results suggested that there are some cultural differences in expression of proactive aggression.

The connection between risk of smartphone addiction, type of smartphone use, life satisfaction, and perceived stress dataset.

The data were collected to test the hypothesis that problematic smartphone use, defined as the risk of smartphone addiction, is positively related to the type/purpose of device use (hedonic, meaning pleasure/gratification) and perceived stress, while it is negatively related to life satisfaction. The data were collected online between October 2020 and January 2021, using Qualtrics online research platform. The participants were aged 18 years or over, had a good command of the English language. They were recruited by posting the survey link on popular social media platforms, such as Facebook, LinkedIn, and Twitter, as well as by using applications such as WhatsApp and Instagram. Participation was voluntary, anonymous, and without material compensation. In addition to demographic questions (age, gender, level of education), respondents completed three questionnaires, including the Smartphone Application-Based Addiction Questionnaire (SABAS), Satisfaction with Life Scale (SWLS), Perceived Stress Scale (PSS), and answered two questions about the proportion of time they use their smartphone to access the Internet and the proportion of time they use smartphone for hedonic purposes. In the course of the data analysis, our aim was to predict the risk of smartphone addiction by the type or purpose of smartphone use, perceived stress, life satisfaction, age, and gender. The reuse potential of the data lies in the possibility to examine the relationships between the hedonic use of smartphones and other variables in the dataset. Researchers could also examine differences of gender or education level in the specific components of smartphone addiction, since each item of the SABAS represents a distinct component in the 'Components model' of addiction [4]. Furthermore, since we have data on Internet access via a tablet, laptop, and desktop computer, it is possible to analyse the relationships of the dependent variables with these paths of accessing the Internet.

Five-Factor Model Best Describes Narcissistic Personality Inventory Across Different Item Response Formats.

The objective of this research was to validate the Narcissistic Personality Inventory across different response formats, given that several factor structures were proposed, ranging from two to seven factors. The original forced-choice format of the Narcissistic Personality Inventory was given to 410 participants and a modified, i.e., Likert format was given to 423 participants from the general population, along with personality and other narcissism measures. The results showed that the five-factor model proposed by Ackerman et al. had the best model fit in both response formats and that a distinction between adaptive (Leadership, Vanity, and Superiority) and some aspects of maladaptive (Manipulativeness and Exhibitionism) narcissism factors could be established. However, the redundancy of items in certain factors could be problematic and further improvements of the Narcissistic Personality Inventory should include more indicators of some proposed factors, especially of Vanity.