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1.
PLoS One ; 14(12): e0226131, 2019.
Artigo em Inglês | MEDLINE | ID: mdl-31826024

RESUMO

BACKGROUND: This study aimed to investigate the effect of integrating a video intervention "Movie Models" within the Feel4Diabetes-study on specific parenting practices and related parental self-efficacy regarding children's physical activity, screen-time and eating behaviour in vulnerable families (i.e. families living in low socioeconomic municipalities and at risk for developing type 2 diabetes). Additionally, there was examination of how the intervention was perceived by the parents. METHODS: Within randomly selected low socioeconomic municipalities in Belgium, families were recruited through primary schools. Families at risk for developing type 2 diabetes were identified using the FINDRISC questionnaire (n = 457). Afterwards, the municipalities were randomly assigned to the intervention or control condition. At risk families assigned to the intervention group were invited to participate in six Feel4Diabetes counselling sessions in which families were encouraged to adopt a healthier lifestyle. The "Movie Models" videos were integrated within two sessions by using a face-to-face group discussion approach. Parenting-related factors were assessed before and after the integration of the videos, using a questionnaire. After integrating the videos, some extra evaluation questions were assessed. In total, 126 families were included in a per protocol evaluation and Repeated Measures ANOVAs were conducted to evaluate the potential intervention effects. RESULTS: Some favourable intervention effects were found on parenting practices and related parental self-efficacy regarding children's eating behaviours, however almost no effects were found on parenting-related factors regarding children's physical activity and screen-time. In total, 60.0% of the participants indicated that they applied tips regarding parenting practices and 52.0% indicated that discussions with other participants regarding the videos were useful for them. CONCLUSION: The integration of "Movie Models" within the Feel4Diabetes-study was effective in improving some parenting-related factors regarding children's health behaviours, however most parenting-related factors could not be improved. The implementation of "Movie Models" as a face-to-face group discussion approach was relatively well received and may be a promising way to improve parenting-related factors in vulnerable families. TRIAL REGISTRATION: ClinicalTrials.gov NCT02278809.


Assuntos
Diabetes Mellitus Tipo 2/patologia , Educação não Profissionalizante , Comportamentos Relacionados com a Saúde , Pais/psicologia , Autoeficácia , Adulto , Bélgica , Criança , Exercício Físico , Comportamento Alimentar , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Instituições Acadêmicas , Inquéritos e Questionários , Gravação em Vídeo
2.
Int J Behav Nutr Phys Act ; 16(1): 100, 2019 11 04.
Artigo em Inglês | MEDLINE | ID: mdl-31685028

RESUMO

BACKGROUND: Most research on parenting and childhood obesity and obesity-related behaviours has focused on mothers while fathers have been underrepresented. Yet, recent literature has suggested that fathers uniquely influence their children's lifestyle behaviours, and hence could also affect their weight status, but this has not yet been scientifically proven. Therefore, the present study aimed to determine whether the association between fathers' weight status and their children's weight status is mediated by fathers' and children's movement behaviours (i.e. physical activity (PA) and screen time (ST)). METHODS: Cross-sectional data of 899 European fathers and their children were analyzed. Fathers/male caregivers (mean age = 43.79 ± 5.92 years, mean BMI = 27.08 ± 3.95) completed a questionnaire assessing their own and their children's (mean age = 8.19 ± 0.99 years, 50.90% boys, mean BMIzscore = 0.44 ± 1.07) movement behaviours. Body Mass Index (BMI, in kg/m2) was calculated based on self-reported (fathers) and objectively measured (children) height and weight. For children, BMI z-scores (SD scores) were calculated to obtain an optimal measure for their weight status. Serial mediation analyses were performed using IBM SPSS 25.0 Statistics for Windows to test whether the association between fathers' BMI and children's BMI is mediated by fathers' PA and children's PA (model 1) and fathers' ST and children's ST (model 2), respectively. RESULTS: The present study showed a (partial) mediation effect of fathers' PA and children's PA (but not father's ST and children's ST) on the association between fathers' BMI and children's BMI (model for PA; coefficient: 0.001, 95% CI: [0.0001, 0.002]; model for ST; coefficient: 0.001, 95% CI: [0.000, 0.002]). Furthermore, fathers' movement behaviours (PA and ST) were positively associated with their children's movement behaviours (PA and ST) (model for PA, coefficient: 0.281, SE: 0.023, p < 0.001; model for ST, coefficient: 0.345, SE: 0.025, p < 0.001). CONCLUSIONS: These findings indicate that the influence of fathers on their children's weight status partially occurs through the association between fathers' PA and children's PA (but not their ST). As such, intervening by focusing on PA of fathers but preferably of both members of the father-child dyad (e.g. engaging fathers and their children in co-PA) might be a novel and potentially effective strategy for interventions aiming to prevent childhood overweight and obesity. Longitudinal studies or intervention studies confirming these findings are however warranted to make meaningful recommendations for health intervention and policy. TRIAL REGISTRATION: The Feel4Diabetes-study is registered with the clinical trials registry http://clinicaltrials.gov , ID: 643708 .


Assuntos
Peso Corporal/fisiologia , Exercício Físico , Relações Pai-Filho , Pai/estatística & dados numéricos , Tempo de Tela , Adulto , Índice de Massa Corporal , Criança , Estudos Transversais , Europa (Continente) , Feminino , Humanos , Masculino , Pessoa de Meia-Idade
3.
Diabetes Res Clin Pract ; 150: 99-110, 2019 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-30796939

RESUMO

AIM: To assess the diagnostic accuracy of the FINDRISC for undiagnosed type 2 diabetes mellitus (T2DM) and dysglycaemia (i.e. the presence of prediabetes or T2DM) among early middle-aged adults from vulnerable groups in a large-scale European cohort. METHODS: Participants were recruited from low-socioeconomic areas in high-income countries (HICs) (Belgium-Finland) and in HICs under austerity measures (Greece-Spain) and from the overall population in low/middle-income countries (LMICs) (Bulgaria-Hungary). Study population comprised of 2116 parents of primary-school children from families identified at increased risk of T2DM, based on parental self-reported FINDRISC. Sensitivity (Se), specificity (Sp), area under the receiver operating characteristic curves (AUC-ROC) and the optimal cut-offs of FINDRISC that indicate an increased probability for undiagnosed T2DM or dysglycaemia were calculated. RESULTS: The AUC-ROC for undiagnosed T2DM was 0.824 with optimal cut-off ≥14 (Se = 68%, Sp = 81.7%) for the total sample, 0.839 with optimal cut-off ≥15 (Se = 83.3%, Sp = 86.9%) for HICs, 0.794 with optimal cut-off ≥12 (Se = 83.3%, Sp = 61.1%) for HICs under austerity measures and 0.882 with optimal cut-off ≥14 (Se = 71.4%, Sp = 87.8%) for LMICs. The AUC-ROC for dysglycaemia was 0.663 with optimal cut-off ≥12 (Se = 58.3%, Sp = 65.7%) for the total sample, 0.656 with optimal cut-off ≥12 (Se = 54.5%, Sp = 64.8%) for HICs, 0.631 with optimal cut-off ≥12 (Se = 59.7%, Sp = 62.0%) for HICs under austerity measures and 0.735 with optimal cut-off ≥11 (Se = 72.7%, Sp = 70.2%) for LMICs. CONCLUSION: FINDRISC can be applied for screening primarily undiagnosed T2DM but also dysglycaemia among vulnerable groups across Europe, considering the use of different cut-offs for each subpopulation.


Assuntos
Diabetes Mellitus Tipo 2/diagnóstico , Diabetes Mellitus Tipo 2/epidemiologia , Programas de Rastreamento , Estado Pré-Diabético/diagnóstico , Estado Pré-Diabético/epidemiologia , Adulto , Criança , Estudos de Coortes , Europa (Continente)/epidemiologia , Feminino , Finlândia , Humanos , Masculino , Pessoa de Meia-Idade , Curva ROC , Fatores de Risco
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