Measures of Affect Dimensions

Boyle, Gregory J.; Helmes, Edward; Matthews, Gerald; Izard, Carroll E.

doi:10.1016/b978-0-12-386915-9.00008-5

Cited by 71 publications

(23 citation statements)

References 133 publications

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“…The Four-Dimension Mood Scale was selected because it was conceptualised with a theoretical understanding of affect and mood, uses exercise-relevant mood adjectives, has less floor and ceiling effects, avoids dimension loading problems by not using reverse worded items, and involved sufficient confirmatory factor analysis procedures during item selection and questionnaire validation (Boyle et al, 2015; see Ekkekakis, 2013 for measure comparisons and rationale). Moreover, the 4DMS is more sensitive to the effects of physical exercise than other similar mood measures (Gregg and Shepherd, 2009).…”

Section: Methodsmentioning

confidence: 99%

Exercise, Mood, Self-Efficacy, and Social Support as Predictors of Depressive Symptoms in Older Adults: Direct and Interaction Effects

et al. 2019

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BackgroundDepression is a chronic condition that affects up to 15% of older adults. The healthogenic effects of regular exercise are well established, but it is still unclear which exercise-related variables characterise the antidepressant effects of exercise. Thus, the purpose of this study was to examine the extent to which exercise-related variables (exercise behaviour, exercise-induced mood, exercise self-efficacy, and social support) can predict depressive symptoms in a cohort of community-dwelling older adults.MethodsThis study employed a cross-sectional analysis of questionnaire data from a sample of 586 community-dwelling older Australians aged 65 to 96 years old. Participants completed the Center for Epidemiologic Studies Depression Scale, modified CHAMPS Physical Activity Questionnaire for Older Adults, Four-Dimension Mood Scale, Self-Efficacy for Exercise Scale, and Social Provisions Scale – Short Form. Bivariate correlations were performed, and hierarchical multiple regression was subsequently used to test the regression model.ResultsExercise behaviour, exercise-induced mood, exercise self-efficacy, and social support were all negatively associated with depressive symptoms (r = −0.20 to −0.56). When the variables were entered as predictors into the hierarchical multiple regression model, social support was the strongest predictor of depressive symptoms (β = −0.42), followed by exercise-induced mood (β = −0.23), and exercise self-efficacy (β = −0.07). Exercise behaviour did not explain any additional variance in depressive symptoms. A modest interaction effect was also observed between exercise-induced mood and social support.ConclusionThese findings indicate that social support is the strongest predictor of depressive symptomology in community-dwelling older adults, particularly when combined with positive exercise-induced mood states. When addressing the needs of older adults at risk of depression, healthcare professionals should consider the implementation of exercise programmes that are likely to benefit older adults by improving mood, enhancing self-efficacy, and building social support.

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Section: Methodsmentioning

confidence: 99%

Exercise, Mood, Self-Efficacy, and Social Support as Predictors of Depressive Symptoms in Older Adults: Direct and Interaction Effects

et al. 2019

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“…For the pre-and post-test, the participants were instructed to rate their well-being over the past five days, while for the daily measure, they were instructed to report instantaneous positive and negative affects. Previous studies have shown that selfreported affective states vary according to instructions related to different timeframes (i.e., momentary vs. past five days; Boyle et al, 2015;Fernandez & Kerns, 2008). Thus, the participants might have engaged in different mindsets when responding to questions regarding their levels of well-being either momentarily or averaged over the past five days, leading to seemingly inconsistent effects.…”

Section: Discussionmentioning

confidence: 99%

Using Natural Intervention to Promote Subjective Well-being of COVID-19 Essential Workers

Hu¹,

Zhu²,

Huang³

et al. 2020

Preprint

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Essential workers such as medical workers and police officers have been playing crucial roles in the fight against the COVID-19 pandemic, and are under heavy stress both physically and mentally. The goal of the present study was to develop a novel nature-based intervention to promote their well-being. A representative sample of essential workers in China was recruited for a five-day intervention program, and were randomly assigned to two groups. The experimental group watched two-minute video clips of natural scenes every day, while the control group watched urban scenes. Results indicated that after five days, the natural stimuli intervention yielded overall improvements in various indices of subjective well-being. Furthermore, analyses of nested longitudinal data confirmed that everyday nature stimuli exposure provided both immediate and cumulative restorative benefits. The proposed natural-based intervention is brief and easy-to-use, offering a cost-efficient psychological booster to promote subjective well-being of essential workers during this crisis time.

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“…To consider more wellbeing scales is outside of this review's aims but is certainly an area for further exploration. Far more wellbeing scales exist, and reading is available such as Boyle et al ( 2015 ). Another issue is that some scales were not available to the authors or were not provided with the scoring system.…”

Section: Discussionmentioning

confidence: 99%

Measuring Online Wellbeing: A Scoping Review of Subjective Wellbeing Measures

et al. 2021

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With the increasing importance of the internet to our everyday lives, questions are rightly being asked about how its' use affects our wellbeing. It is important to be able to effectively measure the effects of the online context, as it allows us to assess the impact of specific online contexts on wellbeing that may not apply to offline wellbeing. This paper describes a scoping review of English language, peer-reviewed articles published in MEDLINE, EMBASE, and PsychInfo between 1st January 2015 and 31st December 2019 to identify what measures are used to assess subjective wellbeing and in particular to identify any measures used in the online context. Two hundred forty studies were identified; 160 studies were removed by abstract screening, and 17 studies were removed by full-text screening, leaving 63 included studies. Fifty-six subjective wellbeing scales were identified with 18 excluded and 38 included for further analysis. Only one study was identified researching online wellbeing, and no specific online wellbeing scale was found. Therefore, common features of the existing scales, such as the number and type of questions, are compared to offer recommendations for building an online wellbeing scale. Such a scale is recommended to be between 3 and 20 questions, using mainly 5-point Likert or Likert-like scales to measure at least positive and negative affect, and ideally life satisfaction, and to use mainly subjective evaluation. Further research is needed to establish how these findings for the offline world effectively translate into an online measure of wellbeing.

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Measures of Affect Dimensions

Cited by 71 publications

References 133 publications

Exercise, Mood, Self-Efficacy, and Social Support as Predictors of Depressive Symptoms in Older Adults: Direct and Interaction Effects

Exercise, Mood, Self-Efficacy, and Social Support as Predictors of Depressive Symptoms in Older Adults: Direct and Interaction Effects

Using Natural Intervention to Promote Subjective Well-being of COVID-19 Essential Workers

Measuring Online Wellbeing: A Scoping Review of Subjective Wellbeing Measures

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