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Abstract Background Sleep, sedentary behaviour, and physical activity are essential components within the 24-hour time frame. Existing questionnaires used to measure these behaviours have insufficient measurement properties and are unsuitable for assessing compliance with the WHO Physical Activity and 24-hour Movement Guidelines. To describe the development process of the 24-hour Movement Questionnaire (QMov24h) and its testing. The QMov24h was developed to gather detailed information on sleep, sedentary behaviour, and physical activity. Methods The sample comprised 117 participants (58% women), aged 30.95 ± 13.56 years. The development process of the QMov24h followed the COSMIN guidelines: (i) Construction of items; (ii) Face validity with end-users; (iii) Content validity with experts; (iv) Criterion validity against accelerometry and convergent validity against diary assessments; and (v) 7-day test-retest reliability. Results The QMov24h presented adequate content and face validity. The QMov24h showed moderate criterion validity for sleep (rho=0.343;p

Objective This study aimed to explore the utility of a high-intensity interval training (HIIT) app as a remote exercise support strategy in children with obesity through assessing adherence, possible effects on obesity-related outcomes, and perceptions of its use to support counseling and improve the treatment of children with obesity. Methods Thirty-seven children (94.6% with obesity; 45.9% girls), with a mean age of 10.4 (±1.8) years and a mean body mass index (BMI) z-score of 3.31 (±1.09) were recruited to use the app during 6 weeks. Assessments were performed at baseline, 6 (end of intervention), and 12 weeks (follow up). Results Thirty-two (86.3%) participants completed both intervention and follow-up assessments and were analyzed. On average, children used the HIIT app 2.5 times per week (95% confidence interval (CI): 1.9 to 3.0), with the highest perceived exertion of 4.1 (95% CI: 3.6 to 4.5). No over-time differences were found in body composition, physical activity, screen time, sleep duration, or water intake after the intervention; however, an over-time decrease in sugary beverages intake (Δ−0.9, 95% CI: −1.6 to −0.1, p = .019). No differences in body composition were found at follow up. Although none of the children or parents perceived impairments in nutritional behavior, general wellbeing, or fitness as a consequence of intervention, most children (64.5%), but not parents, perceived improvements in nutritional behavior and general wellbeing. Conclusion Although feasible, the 6-week effect of HIIT app use is modest or absent regarding body composition, movement, and nutritional behavior change, probably due to its low volume. More studies are needed to explore the utility of HIIT apps as a remote exercise support strategy for children with obesity further.

In large transdisciplinary research teams finding the balance between using the most appropriate and needed measures for data collection and minimising participant burden is often a significant challenge. This paper aims to describe the development process for selecting a set of determinants of physical activity behaviours in 9–12 years old children. An internal small group (n = 8) worked iteratively with an external large group of experts and stakeholders (n = 30-50) in three steps: 1) External input – Identification through expert opinion; 2) Internal input – Identification and selection via a systematized approach; 3) External validation of the selected measures. During these steps, 113 measures were first identified, then scored, sorted, and selected using evidence-building practices such as systematic literature reviews, peer-review, and consensus discussions. Eighteen measures were agreed and included in the core measures toolkit (child and caregiver questionnaires). In conclusion, pragmatism, implementation concerns, and the experts' experience were key in this process. This process may be considered as a reference to others involved in the challenge of selecting measures in their research. [ABSTRACT FROM AUTHOR]

Purpose In adolescents, the definition and clinical implications of metabolically healthy overweight (MHO) status have not been established. This study aimed to investigate the prevalence of MHO according to its most widespread definition, which is based on metabolic syndrome (MS), and to explore further metabolic indicators such as Homeostatic Model Assessment of Insulin Resistance, total cholesterol, low-density lipoprotein cholesterol, alanine aminotransferase, and C-reactive protein levels, together with metabolic health predictors in a sample of adolescents attending a pediatric obesity clinic. Methods Data from 487 adolescents categorized as overweight (52.6% females, 88.1% white), with a mean body mass index (BMI) z-score of 2.74 (±1.07 standard deviation [SD]), and a mean age of 14.4 years (±2.2 SD) were cross-sectionally analyzed. From this original sample, a subsample of 176 adolescents underwent a second assessment at 12 (±6 SD) months for longitudinal analysis. Results From the 487 adolescents originally analyzed, 200 (41.1%) were categorized as MHO, but only 93 (19.1%) had none of the metabolic indicators considered in this study. According to longitudinal analysis, 30 of the 68 adolescents (44%) categorized as MHO at baseline became non-MHO over time. BMI z-score was the best predictor of metabolic health both in cross-sectional and longitudinal analyses. Increased BMI z-score reduced the odds of being categorized as MHO (odds ratio [OR], 0.6; 95% confidence interval [CI], 0.4–0.9; P=.008) and increased the odds of having hypertension (OR 2.1, 95% CI: 1.4–3.3, P=0.001), insulin resistance (OR, 2.4; 95% CI, 1.4–4.1, P=0.001), or a proinflammatory state (OR, 1.2; 95% CI, 1.1–1.3, P=0.002). Conclusions Diagnosis of MHO should not be exclusively based on MS parameters, and other metabolic indicators should be considered. Adolescents categorized as overweight should participate in weight-management lifestyle interventions regardless of their metabolic health phenotype.

Nas últimas décadas o conceito de marca tem sido associado ao turismo, funcionando como uma ferramenta de marketing. Os destinos turísticos passaram a ser vistos como empresas e começam a utilizar a marca como forma de atrair e fidelizar o visitante. A marca assenta numa perspetiva de criação de valor funcionando como estratégia de diferenciação num mercado cada vez mais competitivo. Neste enquadramento, o estudo aqui apresentado procurou perceber como a entidade regional do Turismo do Porto e Norte de Portugal tem desenvolvido o seu marketing através do conceito de marca. Em termos metodológicos, numa primeira parte foi feita uma análise da literatura sobre o conceito de marca, associada ao turismo, e numa segunda parte analisaram-se as estratégias adotadas pela entidade alvo do nosso estudo. Como principais conclusões, constatou-se que esta entidade procurou criar uma marca própria, agregadora de todos os produtos estratégicos âncora e produtos complementares, das suas sub-regiões com vista a promover os seus recursos naturais e patrimoniais, transmitindo a ideia de um destino cosmopolita e glamoroso, com história e tradição.

Purpose Acanthosis nigricans (AN) is a hyperpigmented dermatosis associated with obesity and insulin resistance (IR). There is no consensus whether AN extension scoring offers added value to the clinical estimation of IR. In this study we aimed to assess and score AN using both a short and an extended version of the scale proposed by Burke et al. and analyze the relationships of both versions with hyperinsulinemia and IR. Methods We analyzed data from 139 overweight adolescents (body mass index ≥85th percentile) aged 12–18 with (n=67) or without (n=72) AN who were followed at a pediatric obesity clinic. Results Adolescents with AN had higher levels of insulin (d=0.56, P=0.003) and HOMA-IR (d=0.55, P=0.003) compared to those without. Neither the short nor the extended versions of AN scores explained either hyperinsulinemia (β=1.10, P=0.316; β=1.15, P=0.251) or IR (β=1.07, P=0.422; β=1.10, P=0.374). The presence of AN alone predicted hyperinsulinemia and the presence of IR in 7.3% (β=2.68, P=0.008) and 7.1% (β=2.59, P=0.009) of adolescents, respectively. Conclusions Screening for AN at the neck and axilla is a noninvasive and cost-effective way to identify asymptomatic overweight adolescents with or at risk of developing IR.

Background Adolescent overweight is a major public health concern, as it is associated with several short-run and long-run adverse health outcomes. Inappropriate health behaviours may be at the front of this epidemic. There is widespread need for new strategies that may positively influence dietary and physical activity behaviours. This trial (NCT02941770) was designed to investigate the impact of a physical activity consultation, based on motivational interview technique, on physical activity behaviour and weight status among overweight adolescents followed at a tertiary paediatric care centre.Methods/Design This is an ongoing non-randomised controlled clinical trial with a 6-month duration and follow-up at month 12. It is expected to be concluded in December 2018. Adolescents (n=129) aged 12–18 with a body mass index ≥p85 are recruited and allocated into three groups: (1) control group: standard care (paediatric and nutrition consultations, n=43); (2) experimental group I: standard care plus physical activity consultation (n=43); and (3) experimental group II: exposure to two sessions/week of structured physical exercise, in addition to the standard care plus physical activity consultations (n=43). Sample size was calculated according to power analysis. Participants undergo a set of socioeconomic, anthropometric, body composition, clinical and behavioural (dietary and physical activity) assessments.Discussion Adolescence is a critical period for the acquisition of a healthy lifestyle. The promotion of an active lifestyle may influence adolescents’ weight status and further prevent multiple comorbidities. The findings of our study will provide further understanding on the impact of a physical activity consultation on physical activity behaviour and weight reduction/maintenance among overweight adolescents.Trial registration number NCT02941770.

Individual variability may contribute to the modest and inconsistent results reported in obesity-management interventions. This study aimed to investigate the impact of non-modifiable as well as modifiable factors on body mass index (BMI) and body fat variance in adolescents with obesity followed in a clinical obesity-management programme, in order to better understand individual variability. Non-modifiable factors (i.e. socio-economic status, pregnancy BMI, weight progression across pregnancy, BMI at time of delivery, way of delivery, birth weight, breastfeeding duration, age at overweight onset, overweight duration, and FTO rs9939609 polymorphism) and modifiable factors data (i.e. self-determination level, self-efficacy and perception of importance to lose weight, energy intake, physical activity, and sedentary behaviours) from 63 adolescents (93.7% Caucasian, 55.6% girls), with a median age of 15.0 (2.5) years, and a median BMI z-score of 2.88 (0.70), followed for 6 months were analyzed. BMI z-score variance was predicted by vigorous physical activity (VPA) (F(1,57) = 4.55, p =.039), overweight duration (F(1,59) = 5.61, p =.022), way of delivery (F(2,58) = 6.55, p =.003) and self-determination level (F(1,59) = 4.75, p =.034). VPA further predicted body fat mass (%) (F(1,57) = 9.99, p =.003) as well as trunk fat mass variance (F(1,57) = 8.94, p =.006). This study suggests that although both non-modifiable and modifiable factors influence BMI and body fat variance to some extent, in adolescents with obesity, VPA (modifiable factor) stands out as the factor with the best association with both outcomes. VPA may be a potential ally in the success of clinical obesity management in adolescents, and so should be emphasised in this population. Highlights There is a huge individual variability within studies in response to adolescent obesity-management interventions. Both non-modifiable and modifiable factors may influence body mass index (BMI) and body fat variance, influencing interventions' outcomes. The predictive value of both non-modifiable and modifiable factors largely overlaps, making lighter the burden of the former and highlighting the value of lifestyle changes. Among modifiable factors, vigorous physical activity standouts as the factor with the best (negative) association with BMI and body fat variance. [ABSTRACT FROM AUTHOR]

Effective and safe exercise protocols for obesity management in adolescents are imperative. This study aimed to analyse compliance, efficacy, and safety of combined high-intensity interval training circuit (HIIT) in the management of obesity (including overweight) in adolescents, compared to traditional training (TT). Data from 55 adolescents (47.3% girls) (TT n = 31; HIIT n = 24), aged 12–18 (mean age of 14.3 ± 1.7), with overweight and obesity (median BMI z-score of 2.95), were assessed at baseline and month 6 (Clinicaltrials.gov/NCT02941770). During the 6-month intervention, participants in both exercise groups attended two exercise sessions/week (60 min/session) along with a set of appointments with a paediatrician, nutritionist, and exercise physiologist. Forty-six participants completed the intervention (TT n = 23; HIIT n = 23). Exercise session attendance (≥80%) was significantly higher among HIIT participants (73.9 vs. 13.0%, p <.001). HIIT, but not TT, showed a significant decrease in BMI z-score (d = 0.40, p <.001), body fat mass (BFM, %) (d = 0.41, p =.001), and trunk fat mass (d = 0.56, p <.001), as well as a significant increase in muscle mass (MM, %) (d = 0.28, p =.001) between baseline and 6 months. According to generalized estimating equations, time-by-attendance interactions (instead of time-by group) were found in BMI z-score (β = 0.25, 95%CI: 0.17, 0.33), BFM (β = 2.29, 95%CI: 1.02, 3.56), trunk fat mass (β = 2.94, 95%CI: 1.70, 4.18), and MM (β = −1.16, 95%CI: −1.87, −0.45). No adverse events were reported during HIIT sessions. Although compliance may mediate the impact of an exercise protocol on health-related outcomes, HIIT showed to be safe, with higher compliance compared to TT, which may result in improved outcomes overtime. [ABSTRACT FROM AUTHOR]

Summary: The value of physical activity (PA) counselling and its impact on PA behaviour and weight management have been in question. The main aim of this study was to analyse 6 and 12‐month effects of a PA consultation (PAC—a structured form of PA counselling) with and without the inclusion of structured exercise, on body mass index (BMI) z‐score, body composition and PA levels of adolescents with excess weight (BMI ≥p85), as part of a clinical multicomponent weight management program. Participants were allocated at baseline into a control (CG—standard care, including paediatric and nutrition consultations) and two experimental groups (EGI and EGII). Both EG's were exposed to standard care plus PAC for 12 months. During the first 6 months, EGII additionally participated in two weekly exercise sessions. From 165 participants recruited, 102 completed the intervention (CG n = 28, EGI n = 36 and EGII n = 38). According to generalized estimating equations, at 6 months both EG's improved (p < 0.05) their BMI z‐score, waist‐height ratio (WHtR), body fat mass, skeletal muscle mass, sedentary time and moderate‐vigorous PA (MVPA) compared to CG. Further improvements were observed in BMI z‐score between 6 and 12 months in EG's compared to CG. At 6 months, EGII showed a higher (p < 0.05) increase in MVPA compared to EGI, and EGI a higher decrease in WHtR. No other differences were found between EG's. This study suggests that PAC is a time‐effective approach to improve BMI z‐score, body composition and PA levels in adolescents with excess weight, even without the inclusion of structured exercise. [ABSTRACT FROM AUTHOR]

Background. Investigating life-stage factors associated with overweight may be useful in the prevention of excessive BMI increase. The main aim of this study was to investigate the influence of the route of delivery, birth weight and overweight onset on overweight severity in a sample of overweight adolescents followed at a Pediatric Obesity Clinic. Methods. Clinical data from 412 adolescents with overweight (BMI = p85), aged 10-18 were retrospectively collected and analyzed. Results. Adolescents born by cesarean section (CS) showed a lower age of overweight onset, compared to other methods of delivery (d= 0.33, p= .009). Birth weight was positively associated with BMI z-score (r=.164, p= 002) and waist circumference (WC) (r=.191, p=.001). The overweight onset was negatively associated with BMI z-score (r= -.277, p <.001), WC (r= -.270, p <.001) and body fat mass (r= -.199, p=.001). Overweight duration was the best predictor of BMI z-score, explaining in 75% its variation (F=1,317)=26.94, p <.001), which increased to 99% when birth weight was included in the model (F(2,316)=18.47, p <.001). Conclusions. This study suggests that lifestyle may interrupt the burden of CS on BMI z-score throughout growth. Moreover, increased birth weight may anticipate overweight onset, and consequently overweight duration in the presence of inadequate lifestyle behaviors. [ABSTRACT FROM AUTHOR]

Purpose: Acanthosis nigricans (AN) is a hyperpigmented dermatosis associated with obesity and insulin resistance (IR). There is no consensus whether AN extension scoring offers added value to the clinical estimation of IR. In this study we aimed to assess and score AN using both a short and an extended version of the scale proposed by Burke et al. and analyze the relationships of both versions with hyperinsulinemia and IR. Methods: We analyzed data from 139 overweight adolescents (body mass index =85th percentile) aged 12-18 with (n=67) or without (n=72) AN who were followed at a pediatric obesity clinic. Results: Adolescents with AN had higher levels of insulin (d=0.56, P=0.003) and HOMA-IR (d=0.55, P=0.003) compared to those without. Neither the short nor the extended versions of AN scores explained either hyperinsulinemia (ß=1.10, P=0.316; ß=1.15, P=0.251) or IR (ß=1.07, P=0.422; ß=1.10, P=0.374). The presence of AN alone predicted hyperinsulinemia and the presence of IR in 7.3% (ß=2.68, P=0.008) and 7.1% (ß=2.59, P=0.009) of adolescents, respectively. Conclusion: Screening for AN at the neck and axilla is a noninvasive and costeffective way to identify asymptomatic overweight adolescents with or at risk of developing IR. [ABSTRACT FROM AUTHOR]

Objective: This study aimed to explore the utility of a high-intensity interval training (HIIT) app as a remote exercise support strategy in children with obesity through assessing adherence, possible effects on obesity-related outcomes, and perceptions of its use to support counseling and improve the treatment of children with obesity., Methods: Thirty-seven children (94.6% with obesity; 45.9% girls), with a mean age of 10.4 (±1.8) years and a mean body mass index (BMI) z-score of 3.31 (±1.09) were recruited to use the app during 6 weeks. Assessments were performed at baseline, 6 (end of intervention), and 12 weeks (follow up)., Results: Thirty-two (86.3%) participants completed both intervention and follow-up assessments and were analyzed. On average, children used the HIIT app 2.5 times per week (95% confidence interval (CI): 1.9 to 3.0), with the highest perceived exertion of 4.1 (95% CI: 3.6 to 4.5). No over-time differences were found in body composition, physical activity, screen time, sleep duration, or water intake after the intervention; however, an over-time decrease in sugary beverages intake (Δ-0.9, 95% CI: -1.6 to -0.1, p  = .019). No differences in body composition were found at follow up. Although none of the children or parents perceived impairments in nutritional behavior, general wellbeing, or fitness as a consequence of intervention, most children (64.5%), but not parents, perceived improvements in nutritional behavior and general wellbeing., Conclusion: Although feasible, the 6-week effect of HIIT app use is modest or absent regarding body composition, movement, and nutritional behavior change, probably due to its low volume. More studies are needed to explore the utility of HIIT apps as a remote exercise support strategy for children with obesity further., (© The Author(s) 2024.)

Background: Recognizing the need for palliative care (PC) and referral to PC teams improves patients' quality of life. However, in patients with moderate/severe clinical complexity, early recognition of the need for PC may not correspond to referral to specialized PC services. The definition for clinical complexity is still underexplored, as well as the instruments available to assess complexity. This scoping review aims to gather relevant information on the definition of clinical complexity in PC, as well as on the instruments used to objectively assess complexity., Methods: According to the methodology of a Scoping Review, the keywords: "palliative care", "hospitalization criteria", "complexity criteria", "complexity assessment" and "clinical complexity", were searched in PubMed, Scopus, Cochrane, and b-on databases, during April 2022, for relevant information on the definition and/or approach and/or protocols related to clinical complexity in patients followed in PC, or on the instruments used to assess it, regardless of study design, the language, or year of publication., Results: From the 626 references found, 15 studies were included in the review. According to these studies, complexity may be organized/defined into 3, 4, or 6 domains, generally including the patient, the family, the health system, and the socio-cultural context. Of the 13 instruments mentioned for the objective assessment of complexity, the HexCom, IDC-Pal, and the recent ID-PALL seem to offer the broadest determinations of complexity., Conclusions: Complexity is a dynamic process, which reflects the reality of patients and families, and patients, families, and health professionals' perceptions, and so it must be systematically adjusted to the stage of the disease. The definition of complexity and the development and use of suitable instruments can help to identify, assess, and improve patients' quality of life, while supporting their family across the grieving process. Yet, this may not always be summarized in a quantitative value by easy-to-use instruments, highlighting the role of PC interdisciplinary teams.

Background: Adolescent overweight is a major public health concern, as it is associated with several short-run and long-run adverse health outcomes. Inappropriate health behaviours may be at the front of this epidemic. There is widespread need for new strategies that may positively influence dietary and physical activity behaviours. This trial (NCT02941770) was designed to investigate the impact of a physical activity consultation, based on motivational interview technique, on physical activity behaviour and weight status among overweight adolescents followed at a tertiary paediatric care centre., Methods/design: This is an ongoing non-randomised controlled clinical trial with a 6-month duration and follow-up at month 12. It is expected to be concluded in December 2018. Adolescents (n = 129) aged 12-18 with a body mass index ≥p85 are recruited and allocated into three groups: (1) control group: standard care (paediatric and nutrition consultations, n=43); (2) experimental group I: standard care plus physical activity consultation (n=43); and (3) experimental group II: exposure to two sessions/week of structured physical exercise, in addition to the standard care plus physical activity consultations (n=43). Sample size was calculated according to power analysis. Participants undergo a set of socioeconomic, anthropometric, body composition, clinical and behavioural (dietary and physical activity) assessments., Discussion: Adolescence is a critical period for the acquisition of a healthy lifestyle. The promotion of an active lifestyle may influence adolescents' weight status and further prevent multiple comorbidities. The findings of our study will provide further understanding on the impact of a physical activity consultation on physical activity behaviour and weight reduction/maintenance among overweight adolescents., Trial Registration Number: NCT02941770., Competing Interests: Competing interests: None declared.