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Does a Health Information Technology System developed by Children and their Parents improve Obesity Therapy?

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Obesity Facts 2015;8(suppl 1):1–247 Abstracts184
disturbances is nutritional status. erefore, the aim of the study was to
assess self-esteem and its relation to self-recognition of one‘s own body of
women with PCOS in relation to nutritional status.
Methods: Two-hundred-thirty-four women diagnosed with PCOS were
enrolled. Body mass and height were measured and BMI was calculated.
Nutritional status was assessed on the basis WHO criteria. Self-esteem was
assessed on the basis of polish adaptation M. Rosenberg scale and self-rec-
ognition of owns body by Franzoi and Shields scale.
Results: Normal body mass was diagnosed in 66.2% study women, over-
weight in 19.7% and obesity in 14.1%. ere were no dierences in age of
the study group (24.7 ± 5.5, 24.9 ± 4.6 and 25.5 ± 4.6 yrs) and satisfaction
with their sexual attractiveness (47.3 ± 7.7; 47.1 ± 7.6 i 46.1 ± 10.6 points).
While, the degree of satisfaction with weight control and with physical
condition (29.3 ± 9.1 vs. 25.4 ± 7.2 vs. 23.8 ± 9.8 points and 32.1 ± 5.9 vs.
28.9 ± 6.5 vs. 28.0 ± 8.0 points, respectively). Low level of self-esteem was
more frequent in obese women 18.1%. In addition, any obese women had
high level of self-esteem.
Conclusions: Overweight and obesity are the factors decreased satisfac-
tion with weight control and physical condition but not with sexual at-
tractiveness. While, low self-esteem in women diagnosed with PCOS is
increased by obesity, only.
T4:PO.018
The role of emotional regulation in childhood obesity:
Implications for prevention and treatment
Aparicio-Llopis E.1, Michels N.2
1Faculty of Medicine and Health Sciences, Nutrition and Mental Health Research
Group (NUTRISAM), Institut de Investigació Sanitaria Pere Virgili (IISPV),
Universitat Rovira i Virgili (URV), Reus, Spain,
2Department of Public Health, Ghent University, Belgium
Background: Stress and negative emotions represent an important public
health threat e.g. by increasing the risk to develop obesity. Since the pro-
cess to cope with negative emotions (= emotion regulation (ER)) already
develops during childhood, we present a novel conceptual framework
model on the role of ER in prevention and treatment of childhood obesity.
Methods: An electronic database search (MEDLINE, Web of Knowledge
and Scopus) was conducted on observational and interventional/experi-
mental literature concerning the ER-obesity link and its underlying con-
cepts. We also present an overview of ER intervention techniques.
Results: Our model states that childhood ER is a fundamental link be-
tween stress and obesity. Stress along with ineective ER causes abnormal
cortisol patterns, emotional eating, a sedentary lifestyle and sleep prob-
lems. In the development of obesity and ER, also parents play a role. In
contrast, eective ER skills decrease obesity-related unhealthy behaviour
and enhance protective factors, which boost mental and physical health.
In children, some observational studies were found but very few interven-
tion studies, mainly pilot or still on-going studies.
Conclusions: Encouraging eective ER could be a new approach in the
ght against and the treatment of childhood obesity. Future ER interven-
tions are needed to conrm this model in children.
Fig. 1. Conceptual framework model on the role of ER in the prevention and
treatment of childhood obesity
T4:PO.019
Retrospective analysis of subjective wellbeing and weight
loss in patients receiving talking therapies at the Rotherham
Institute for Obesity (RIO)
Boyden C.1, Wilson C.1, Capehorn M.1
Rotherham Institute for Obesity (RIO)
Introduction: RIO is a specialist weight management service with a
comprehensive multidisciplinary team approach that includes talking
therapies. e therapies involved are solution focussed and include Moti-
vational Interviewing (MI), Cognitive Behavioural erapy (CBT), Neu-
rolinguistic Programming (NLP), Emotional Freedom Techniques, life
coaching and hypnotherapy. Patients are referred by other members of the
RIO MDT if patients are suspected of emotional eating, are identied as
having binge eating or comfort eating, or are suspected of having underly-
ing psychological barriers to weight loss.
Methods: Retrospective analysis of qualitative and quantitative data for
all partcipants aged 19–80 years, between April 2010 to March 2013, who
attended the RIO weight management programme (n=4587). Subjective
wellbeing (SWB) scores were measured by means of the WHO-5 wellbe-
ing index at the initial assessment and at 6 months.
Results: From the 2091 patients that completed the 6 month RIO pro-
gramme, 627 patients (30%) were seen by a talking therapist (TT). patients
who saw a TT demonstrated improved SWB scores by 25% (p < 0.001,
r=0.3) compared to 21% (p < 0.001, r=0.2) who had not seen a TT. Patients
who were referred had a higher BMI (average 44.4 kg/m2) compared to
those who had not (41.02 kg/m2). Weight loss was similar for both groups;
5.8kg in those who received TT compared to 5.7kg in those who did not.
Conclusion: SWB improvements were enhanced for patients who saw a
talking therapist, however overall weight loss results were similar for both
groups. Patients referred for talking therapy were usually those having sig-
inicant diculty in losing weight, yet relatively a considerable amount of
weight was seen in this cohort.
T4:PO.020
Does A Health Information Technology developed by Children
and their Parents improve Obesity Therapie?
Büchter D.1, Kowatsch T.2, Brogle B.1, Dinther-ter Velde A.1, Pelikosa I.3,
Durrer D.4, Schutz Y.5, Maas W.6, Wiegand D.1, Laimbacher J.1, L`Ŕllmand D.1
1Department of Adolescent medicine, Children`s Hospital of Eastern
Switzerland, St. Gallen, Switzerland
Existing interventions prove limited eectiveness and sustainability. IT-
enhanced interventions have the potential for higher accessibility and
cost-eectiveness.ey aim not only modifying the patient‘s behavior but
also to positively in inuence their family system.
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Obesity Facts 2015;8(suppl 1):1–247Abstracts 185
Methods: In cooperation with therapists, extremely obese children, their
parents, and diernt researcher, a mobile health information system (HIS)
with special data security was developed, consisting of a tablet PC with
cooking and shopping support, relaxation tools, the ability to measure
speed of eating and emotional parameters and physical activity acceler-
ometer. ree groups of each six extremely obese children (BMI > 99.5,
median BMI z-score 3.0, age 13.2 ± 2.3 years) were assigned. erapy in
either an (1) individual or (2) group setting with HIS, or (3) individual
care without HIS. All groups were evaluated for above metioned items in
a specialized centre before and aer 12 months of therapy. Questions of
interest: 1. Does a HIS developed by children and their parents improve
adherence to therapy and thus improve health outcomes in families with
low time resources? 2. Can HIS help the family to change its activity, nu-
trition, mood and communication habits.
Results: 25% of extremely obese children with HIS and 60% without HIS
decreased their BMI-SDS. HIS children did not reduce their obesity bet-
ter than the control group without HIS, if parents did not support their
children at home. ose children with parental support did use HIS for
activity, mood and nutrition monitoring regularly.
Conclusion: In extremely obese children, home support with HIS is only
eective, when children are guided by their parents while using the HIS.
To select appropriate families for HIS home support, a careful examina-
tion of the family system in context with their motivation and their psy-
chosocial problems is unalterable by questionnaires and interviews.
Acknowledgement: ą Children‘s Hospital of Eastern Switzerland, St. Gallen, * SNF
Grant #CR 10/1 135552 ˛ University of St. Gallen, Switzerland ł ETH Zurich, Swit-
zerland ⁴ Eurobesitas Centre ( COMS) Vevey, Switzerland ⁵University of Fribourg,
Switzerland ⁶ Saarland University, Germany
T4 – Quality of life
T4:PO.021
Not weight status but parental education and perception of
weight and health are related to health related quality of life
in children and adolescents.
Ligthart K.A.1, Paulis W.D.1, Koes B.W.1, Middelkoop M.1
1Department of General Practice, Erasmus MC, University Medical Center,
Rotterdam, The Netherlands
Introduction: Previous research suggests that weight status is negatively
associated with health related quality of life (HRQoL) in children and ad-
olescents. However, little is known on other factors inuencing HRQoL.
erefore, the aim of this study is to describe the association between
weight status, childrens characteristics and HRQoL.
Methods: Baseline data from a prospective cohort studying 715 children
(2–18 years) in 73 general practices in the Netherlands were used. Height
and weight were measured during regular consultation and children and
parents lled-out questionnaires about HRQoL (Pediatric Quality of Life
Inventory), demographics, parents’ perception of the child’s weight, par-
ents’ perception of the child’s health status and number of GP consulta-
tions over the last twelve months. Data were analysed using a multiple
linear regression model with HRQoL as dependent variable.
Results: Global HRQoL scores were signicantly lower in overweight and
obese children (78.2(14.1), n=116) compared to underweight (84.9(10.1),
n=109) or normal weight (83.6(10.7), n=372) children (p < 0.001). Mul-
tiple linear regression analysis showed that not weight status but lower
parental education, perceived overweight and perception of lower health
were signicantly associated with decreased global and physical HRQoL
(p < 0.01). Higher weight status, child considered as overweight and poor
perceived health were associated with impaired psychosocial HRQoL
(p < 0.05).
Conclusion: Physical HRQoL is associated with parental education and
perception of weight and health while psychosocial HRQoL is associated
with weight status but also with health and weight perception.
T4.PO.022
Liraglutide 3.0 Mg reduces body weight and improves
hrqol in overweight or obese adults without diabetes: Scale
obesity and prediabetes randomized, double-blind, placebo-
controlled, 56-week trial
Lau D.C.1, Fujioka K.2, Astrup A.3, Greenway F.4, Halpern A.5, Krempf M.6,
Le Roux C.7, Violante Ortiz R.8, Wilding J. P.9, Wolden M.10, Jensen C. B.10,
Pi-Sunyer X.11
1University of Calgary, Calgary, AB, Canada,
2Scripps Clinic, La Jolla, CA, USA,
3University of Copenhagen, Frederiksberg, Denmark,
4Pennington Biomedical Research Center, Louisiana State University System,
Baton Rouge, LA, USA,
5Hospital das Clínicas, University of Săo Paulo Medical School, Săo Paulo, Brazil,
6Université de Nantes, Nantes, France,
7University College Dublin, Dublin, Ireland,
8Instituto Mexicano del Seguro Social, Cd.Madero, Tam. México,
9University of Liverpool, Liverpool, UK,
10Novo Nordisk A/S, Sřborg, Denmark,
11Columbia University, New York, NY, USA
Obesity is a chronic disease associated with physical and mental health
problems and reduced health-related quality of life (HRQoL), which can
be improved by weight loss (WL). e eects of liraglutide 3.0 mg, as ad-
junct to diet & exercise, on body weight (primary endpoint) and HRQoL
in overweight/obese adults were investigated. Individuals (BMI ≥27 kg/
m˛ with ≥1 comorbidity or ≥30 kg/m˛) were advised on a 500 kcal/day
decit diet & exercise program, and randomized 2:1 to once-daily sc li-
raglutide 3.0 mg (n=2487) or placebo (n=1244). Baseline characteristics:
age 45.1 years, 78.5% female, weight 106.2 kg, BMI 38.3 kg/m˛, 61.2%
with prediabetes. e Impact of Weight on Quality of Life-Lite (IWQoL),
Short-Form (36) Health Survey (SF-36) and Treatment Related Impact
measure-Weight (TRIM-W) questionnaires were used to assess health-re-
lated outcomes (score ranges 0-100). Data were observed means±SD and
estimated treatment dierences (ED), with LOCF. Clinicaltrials.gov ID:
NCT01272219. At week 56, individuals on liraglutide 3.0 mg had more
WL (8.0 ± 6.7%) vs placebo (2.6 ± 5.7%; ED –5.4% [95%CI –5.8;-5.0];
p < 0.0001). WL was accompanied by improvements in the total IWQoL
score with liraglutide (10.6 ± 13.3) vs placebo (7.6 ± 12.8; ED 3.1 [2.2;4.0],
p < 0.0001), mostly driven by improved physical function. e TRIM-W
total score (ED 2.1 [1.3;3.0], p < 0.0001), SF-36 summary physical/mental
health scores (ED 1.7 [1.2;2.2], p < 0.0001; 0.9 [0.3;1.5], p = 0.003), and all
domain scores of IWQoL and SF-36 improved with liraglutide vs placebo.
In conclusion, weight loss with liraglutide 3.0 mg, as adjunct to diet &
exercise, was accompanied by weight-related improvements in HRQoL,
including physical function and mental health. Greater weight loss led to
greater improvements in HRQoL scores.
Acknowledgement: Supported by Novo Nordisk
T4:PO.023
Quality of life and negative emotionality in overweight and
obese non-clinical sample
Pokrajac-Bulian A.1, Kukic M.1, Basic-Markovic N.2
1Department of Psychology, Faculty of Humanities and Social Sciences,
University of Rijeka, Rijeka, Croatia,
2Familiy medicine practice, Srdoči 65d, Rijeka, Croatia
Introduction: e present study investigates the correlates of health-re-
lated quality of life (HRQoL) in the adult overweight and obese popula-
tion and the association between body mass index, depression, anxiety,
and potential mediating eects of physical health functioning.
Methods: e research was conducted on a sample of overweight and
obese adults who visited their primary care physician. A total of 143 wom-
en and 130 men were enrolled in the study, 43% of the subjects were over-
weight, and 57% of the subjects were obese. e subjects ranged in age
between 21 and 60 years. Depression and anxiety were assessed using the
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... Of the studies included, 7 were aimed at assessing acceptability among participants [33][34][35][36][37][38]78], and 2 were usability studies [39,40]. In all, 15 were either feasibility [41][42][43][44][45] or pilot [46][47][48][49][50][51][52][53][54][55] studies, and 17 reported outcomes of trials or field studies [35,[56][57][58][59][60][61][62][63][64][65][66][67][68][69][70][71][72]. We also identified 1 process evaluation [73]. ...
Article
Full-text available
Background: The prevalence and consequences of obesity among children and adolescents remain a leading global public health concern, and evidence-based, multidisciplinary lifestyle interventions are the cornerstone of treatment. Mobile electronic devices are widely used across socioeconomic categories and may provide a means of extending the reach and efficiency of health care interventions. Objective: We aimed to synthesize the evidence regarding mobile health (mHealth) for the treatment of childhood overweight and obesity to map the breadth and nature of the literature in this field and describe the characteristics of published studies. Methods: We conducted a systematic scoping review in line with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping reviews, by searching nine academic databases in addition to gray literature for studies describing acceptability, usability, feasibility, effectiveness, adherence, or cost-effectiveness of interventions assessing mHealth for childhood obesity treatment. We also hand searched the reference lists of relevant articles. Studies aimed at the prevention of overweight or obesity were excluded, as were studies in which mHealth was not the primary mode of treatment delivery for at least one study arm or was not independently assessed. A random portion of all abstracts and full texts was double screened by a second reviewer to ensure consistency. Data were charted according to study characteristics, including design, participants, intervention content, behavior change theory (BCT) underpinning the study, mode of delivery, and outcomes measured. Results: We identified 42 eligible studies assessing acceptability (n=7), usability (n=2), feasibility or pilot studies (n=15), treatment effect (n=17), and fidelity (n=1). Change in BMI z-scores or percentiles was most commonly measured, among a variety of dietary, physical activity, psychological, and usability or acceptability measures. SMS, mobile apps, and wearable devices made up the majority of mobile interventions, and 69% (29/42) of the studies specified a BCT used. Conclusions: Pediatric weight management using mHealth is an emerging field, with most work to date aimed at developing and piloting such interventions. Few large trials are published, and these are heterogeneous in nature and rarely reported according to the Consolidated Standards of Reporting Trials for eHealth guidelines. There is an evidence gap in the cost-effectiveness analyses of such studies.
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