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- Bannon, Brittany L., et al.
(författare)
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Confirmatory factor analysis of illness behavior in the Swedish Adoption/Twin Study of Aging (SATSA)
- 2017
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Ingår i: Annals of Behavioral Medicine. - : Springer. - 0883-6612 .- 1532-4796. ; 51:Suppl. 1, s. S2654-S2655
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Tidskriftsartikel (refereegranskat)abstract
- Background: Illness behaviors—or affective, cognitive, and behavioral responses to symptoms of illness—predict patient outcomes, including symptom exacerbation and functional recovery, and they account for a large proportion of U.S. healthcare costs. Although priorcross-sectional work has examined illness behaviors like symptom reporting in isolation, the measurement of illness behavior using a longitudinal, multi-indicator approach has yet to be explored.Aim: We evaluated illness behavior as a latent, developmental construct in the Swedish Adoption/Twin Study of Aging (SATSA).Method: Participants were up to 1,886 individuals (from 1,223 twin pairs) ages 29 to 102 years (Mage baseline = 62.32 years; SD =13.69; 59% Female). Illness behavior indicators included somatic complaints, non-prescription medication use, pain-related disability and perceived illness complications. The psychomotor retardation subscale of the CES-D was used to index somatic complaints, and medication use was a simple composite of 9 dichotomous items on participants’ use of non-prescription medications, such as over-the-counter analgesics, in the previous month. Pain-related disability included a simple composite of three dichotomous items on the presence of neck,back, or shoulder pain that prevented participants from performing daily tasks or activities. Perceived illness disability was a composite of difference scores, calculated from subtracting a physician panel’s objective ratings of disability for each of 35 medical conditions (on a 3-pointscale; 1= Little or no disability; 3= Severe disability) from participants’ self-ratings of how much each of the same endorsed medical conditions interfered with their daily lives (on the same 3-point scale; 1= Not at all; 3= A lot). Positive composite scores reflected higher perceived disability relative to what was expected from the objective ratings, whereas a composite score of zero reflected “accuracy” or agreement in perceived illness complications. Confirmatory Factor Analysis (CFA) was used to evaluate invariance in the loadings of these four indicatorson a latent illness behavior factor across four questionnaire waves (1987-2004).Findings: Confirmatory factor analyses revealed moderate factor loadings of the four indicators (standardized loadings ranged from .49 to .52, all ps < .0001). Also, practical fit indices from the nested model comparisons suggested strong factorial invariance in the loadings across time (CFI = .96; TLI = .95, RMSEA= .03, 90% CI: [.026, .035]).Conclusion: Illness behavior as a latent, multi-indicator construct represents a promising focus for longitudinal work on behavior change and maintenance.
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- Berman, Anne H., et al.
(författare)
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Current State of the Art in Digital Interventions for Addictive Behaviors
- 2020
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Ingår i: Annals of Behavioral Medicine. - : Oxford University Press. - 0883-6612 .- 1532-4796. ; 54:S1, s. S417-S417
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- Two years ago, a Special Issue on E-health Interventions for Addictive Behaviors was published in the International Journal of Behavioral Medicine. The issue included 16 articles, addressing topics like methodologies for developing e-health interventions, how to engage intervention users and establish a working alliance, and empirical findings from randomized controlled trials and a naturalistic study. The issue began with two articles offering a wide perspective on the field, with a systematic review of reviews on digital interventions for problematic alcohol use, as well as a too for describing e-health interventions as a step towards standardized reporting in order to facilitate communication about the interventions and comparisons between them. This symposium will follow up on the Special Issue by bringing together some of the contributors for presentations of their current work and a discussion on the current state-of-the-art in digital interventions for addictive behaviors. This symposium is sponsored by SBM’s Scientific and Professional Liaison Council (SPLC), in partnership with the International Society of Behavioral Medicine (ISBM).
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| 6. |
- Berman, Anne H., et al.
(författare)
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Skills Training for Reducing Risky Alcohol Use in App Form Among Adult Internet Help-seekers
- 2020
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Ingår i: Annals of Behavioral Medicine. - : Oxford University Press. - 0883-6612 .- 1532-4796. ; 54:S1, s. S417-S417
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- Background: Problematic alcohol use in Sweden occurs among 16 % of the adult population. Digital interventions of varying intensity have shown positive effects in contributing to reductions in problematic use, and the TeleCoach app has shown positive effects in non-treatment-seeking university students with excessive drinking (Gajecki et al., 2017). This pilot study evaluated the app among adult internet help-seekers, and motivated continued data collection in the current target group. Methods: Adult internet-help seekers, recruited via advertisement, were included if they scored ³6 (women) or ³8 (men) on the Alcohol Use Disorders Identification Test (AUDIT). Those with depression scores of ³31 on the Montgomery Åsberg Depression Rating Scale (MADRS-S) or problematic drug use scores of ³8 on the Drug Use Disorders Identification Test (DUDIT) were contacted for a telephone interview and included following clinical assessment; if not reached they were excluded. Participants randomized at a 1:1 ratio to the TeleCoach™ web-based app or to a web-based app with information texts from primary care-based self-help material for changing problematic alcohol use. At six-week follow-up, the primary outcome was the number of standard drinks per past week (Timeline-Followback). Results: Of 147 persons assessed for eligibility, 89 were assigned to the intervention group (n=42) or control group (n=47). Average AUDIT levels at baseline were ³18.The baseline number of standard drinks per week was 32.73 (SD 21.16) for the intervention group, and 26 (4.08) for the control group; at 6-week follow-up it was 12.73 (10.52) and 13.48 (11.13) for the intervention and control groups, respectively. No significant between-groups effects occurred, but withingroup changes over time were significant (F(1, 55)=43.98; p< 0.000), with an effect size of 1.37 for the intervention group and 0.92 for the control group. Conclusions: The results suggest that web-based apps can be of help to internet help-seekers motivated to reduce problematic alcohol use. We have proceeded with the planned larger randomized, controlled study and will present 6-week follow-up data for the entire study sample (n=∼1000) in this presentation.
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- Der Ananian, Cheryl, et al.
(författare)
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TRAJECTORIES AND SOCIO-DEMOGRAPHIC PREDICTORS OF STEPS IN A WORKSITE INTERVENTION : ASUKI-STEP
- 2015
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Ingår i: Annals of Behavioral Medicine. - New York : Springer. - 0883-6612 .- 1532-4796. ; 49, s. S170-S170
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- Promoting physical activity (PA) through worksite wellness programs may help decrease physical inactivity in adults. Purpose: This study examined the effects of a pedometer-based intervention (ASUKI-Step) on (1) trajectories of step counts over time; (2) the proportion of individuals who accumulated at least 10,000 steps per day for a minimum of 100 days; and (3) trajectories of accelerometer-determined PA over time in a sub-set of individuals. We also examined the sociodemographic characteristics associated with each outcome. Methods: ASUKI-Step was a 6-month, pedometer-based intervention offered to employees at Arizona State University (n=712) and the Karolinska Institutet (n=1390). The intervention was grounded in the theory of social support and participants enrolled in teams of 3-4 individuals to promote social support. Trajectories of change in PA were evaluated using a single-group, pre-post quasi-experimental design. Linear growth models were used to assess trajectories of change in and predictors of pedometer-based and accelerometer-determined PA. Logistic regression analyses were used to examine the proportion of individuals who met 10,000 steps per day for at least 100 days. Results: There was a significant linear (t = -20.76, p =.001) and curvilinear change in steps over time (t = 7.65, p = 0.001). Steps declined over the six months and there was significant individual variation in the trajectory of change. Men had a greater decline in steps over time while increased age was associated with a slower decline in steps over time (p < 0.05). Overall, 52.9% (n = 1105) of the participants accumulated 10,000 steps on at least 100 days of the study. Older age, being married, working in a non-managerial position, having a normal body weight, and higher initial PA level were positively associated with meeting the step goal (p <0.05). Finally, in the subset of individuals for whom we had accelerometer-derived PA levels (n=226), there were no changes over time in minutes of physical inactivity, light activity, moderate lifestyle or moderate activity. Conclusions: Findings suggest that a low-intensity, pedometer-based intervention can work with some segments of the typical office population but a more intensive intervention may be needed for individuals who are sedentary or overweight.
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