Bright light therapy versus physical exercise to prevent co-morbid depression and obesity in adolescents and young adults with attention-deficit / hyperactivity disorder: study protocol for a randomized controlled trial

Mayer, Jutta S.; Hees, Katharina; Medda, Juliane; Grimm, O.; Asherson, Philip; Bellina, M.; Colla, Michael; Ibáñez, Pol; Koch, Elena D.; Martínez-Nicolás, Antonio; Muntaner‐Mas, Adrià; Rommel, Anna‐Sophie; Rommelse, Nanda; Ruiter, Saskia de; Ebner‐Priemer, Ulrich W.; Kieser, Meinhard; Ortega, Francisco B.; Thome, Johannes; Buitelaar, Jan K.; Kuntsi, Jonna; Ramos-Quiroga, Josep Antoni; Reif, Andreas; Freitag, Christine M.

doi:10.1186/s13063-017-2426-1

Cited by 28 publications

(13 citation statements)

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“…Whilst no other similar randomised studies were found, the updated search retrieved the protocol of a randomised trial [47] aimed to assess the effects of bright light therapy versus physical exercise to prevent the occurenc of co-morbid depression and obesity in adolescents and youth with ADHD. Given the clinical relevance of these conditions and the methodological rigour with which the study was designed, it will arguably attract significant interest in the field.…”

Section: Which Are the Implications Of The Link Adhd–obesity For Tmentioning

confidence: 99%

The Association between ADHD and Obesity: Intriguing, Progressively More Investigated, but Still Puzzling

Cortese

2019

Brain Sciences

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This narrative review is aimed at presenting the most recent evidence on the association between attention-deficit/hyperactivity disorder (ADHD) and obesity. The review is informed by previous relevant systematic reviews and a search in Pubmed and PsycINFO up to 1 August 2019. Although the association between ADHD and obesity would seem, at first, paradoxical, in the past two decades there has been an increasing number of studies on this topic. The present review shows that there is meta-analytic evidence supporting a significant association between these two conditions, at least in adults. Growing evidence is also being published on the genetic and environmental factors underlying the association. However, the cause–effects paths, as well as the exact mechanisms explaining the association, remain unclear. Additionally, empirical evidence guiding the management/treatment of patients with the two conditions is still limited. Therefore, after almost 20 years from the first report of a link between ADHD and obesity, this association continues to be puzzling.

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Section: Which Are the Implications Of The Link Adhd–obesity For Tmentioning

confidence: 99%

The Association between ADHD and Obesity: Intriguing, Progressively More Investigated, but Still Puzzling

Cortese

2019

Brain Sciences

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“…The effect of physical activity on depression remains controversial in the academic community. Many studies have shown that physical exercise is an effective way to alleviate depression [9][10][11]. However, some studies have also found that the effects of exercise on the relief of depression are "moderate at best" or statistically insignificant [12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Physical Activity and Depression in Adolescents: Evidence from China Family Panel Studies

2022

Behavioral Sciences

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Depression in adolescents is a major public health disorder. The relationship between physical activity and risk of depression in adolescents was examined using three waves of data from the China Family Panel Studies in 2020. The risk of depression was significantly higher among adolescents who reported lower frequency and shorter duration of physical exercise than those who reported physical exercise more frequently and for a longer duration. The risk of depression was significantly higher among adolescents who reported intense physical exercise than those who reported little or no intense physical exercise. The amount of time spent on housework by adolescents is inversely associated with depression. These results provide somewhat stronger evidence for an activity–depression link than previous studies and suggest a differential role for different types of physical activity, such as exercise and housework. The overall model predicting depression in adolescents (LR chi-squared = 95.974, p < 0.001, Nagelkerke R-square = 0.183) was statistically significant. To effectively control depression in adolescents, the government, schools and parents need to act together to guide adolescents towards participation in appropriate physical activities. The appropriate level of physical activity is for adolescents to experience breathing, rapid heartbeat, and slight perspiration.

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“…The data were collected within the ongoing APPetite study. The APPetite study is part of the European Union Horizon2020 project Eat2beNICE and recruits participants from three existing studies: LORA (Longitudinal Resilience Assessment) study [ 50 ], PROUD (Prevention of Comorbid Depression and Obesity in Attention-Deficit/Hyperactivity Disorder) study [ 51 ], and the BipoLife-A1 study (improving early recognition and intervention in people at risk of developing bipolar disorder [ 52 , 53 ]). The LORA study included individuals who were not affected by psychiatric conditions.…”

Section: Methodsmentioning

confidence: 99%

Studying Microtemporal, Within-Person Processes of Diet, Physical Activity, and Related Factors Using the APPetite-Mobile-App: Feasibility, Usability, and Validation Study

Ruf¹,

Koch²,

Ebner‐Priemer³

et al. 2021

J Med Internet Res

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Background Diet and physical activity (PA) have a major impact on physical and mental health. However, there is a lack of effective strategies for sustaining these health-protective behaviors. A shift to a microtemporal, within-person approach is needed to capture dynamic processes underlying eating behavior and PA, as they change rapidly across minutes or hours and differ among individuals. However, a tool that captures these microtemporal, within-person processes in daily life is currently not present. Objective The APPetite-mobile-app is developed for the ecological momentary assessment of microtemporal, within-person processes of complex dietary intake, objectively recorded PA, and related factors. This study aims to evaluate the feasibility and usability of the APPetite-mobile-app and the validity of the incorporated APPetite-food record. Methods The APPetite-mobile-app captures dietary intake event-contingently through a food record, captures PA continuously through accelerometers, and captures related factors (eg, stress) signal-contingently through 8 prompts per day. Empirical data on feasibility (n=157), usability (n=84), and validity (n=44) were collected within the Eat2beNICE-APPetite-study. Feasibility and usability were examined in healthy participants and psychiatric patients. The relative validity of the APPetite-food record was assessed with a subgroup of healthy participants by using a counterbalanced crossover design. The reference method was a 24-hour recall. In addition, the energy intake was compared with the total energy expenditure estimated from accelerometry. Results Good feasibility, with compliance rates above 80% for prompts and the accelerometer, as well as reasonable average response and recording durations (prompt: 2.04 min; food record per day: 17.66 min) and latencies (prompts: 3.16 min; food record: 58.35 min) were found. Usability was rated as moderate, with a score of 61.9 of 100 on the System Usability Scale. The evaluation of validity identified large differences in energy and macronutrient intake between the two methods at the group and individual levels. The APPetite-food record captured higher dietary intakes, indicating a lower level of underreporting, compared with the 24-hour recall. Energy intake was assessed fairly accurately by the APPetite-food record at the group level on 2 of 3 days when compared with total energy expenditure. The comparison with mean total energy expenditure (2417.8 kcal, SD 410) showed that the 24-hour recall (1909.2 kcal, SD 478.8) underestimated habitual energy intake to a larger degree than the APPetite-food record (2146.4 kcal, SD 574.5). Conclusions The APPetite-mobile-app is a promising tool for capturing microtemporal, within-person processes of diet, PA, and related factors in real time or near real time and is, to the best of our knowledge, the first of its kind. First evidence supports the good feasibility and moderate usability of the APPetite-mobile-app and the validity of the APPetite-food record. Future findings in this context will build the foundation for the development of personalized lifestyle modification interventions, such as just-in-time adaptive interventions.

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Bright light therapy versus physical exercise to prevent co-morbid depression and obesity in adolescents and young adults with attention-deficit / hyperactivity disorder: study protocol for a randomized controlled trial

Cited by 28 publications

References 96 publications

The Association between ADHD and Obesity: Intriguing, Progressively More Investigated, but Still Puzzling

The Association between ADHD and Obesity: Intriguing, Progressively More Investigated, but Still Puzzling

Physical Activity and Depression in Adolescents: Evidence from China Family Panel Studies

Studying Microtemporal, Within-Person Processes of Diet, Physical Activity, and Related Factors Using the APPetite-Mobile-App: Feasibility, Usability, and Validation Study

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