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Di Martino G, della Valle C, Centorbi M, Buonsenso A, Fiorilli G, Crova C, di Cagno A, Calcagno G, Iuliano E. Bridging Generations Through Movement: "How and Why" Intergenerational Programs Operate-A Systematic and Narrative Review. Geriatrics (Basel) 2024; 9:139. [PMID: 39449376 PMCID: PMC11503438 DOI: 10.3390/geriatrics9060139] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2024] [Revised: 10/19/2024] [Accepted: 10/21/2024] [Indexed: 10/26/2024] Open
Abstract
Well-being and social interaction are among the primary goals to be achieved for the elderly. Intergenerational physical activity (PA) has gained increasing attention due to its potential to encourage PA and social interaction, providing both social and physical benefits to both younger and older individuals. This review aimed to gain a deeper understanding of the potential roles of PA in facilitating intergenerational interactions and provide practical insights. Methods: Following PRISMA guidelines, the systematic review identified specific keywords to search for articles that met the chosen inclusion and exclusion criteria (n. 5 RCT articles, selected between 2009 and 2024), conducted by three independent reviewers. Scopus, PubMed, EBSCOhost, and Web of Science were consulted to identify relevant articles. Risk of bias was assessed using Cochrane RoB 2. For the narrative dissertation, articles were identified across three key areas of focus: types of PA, age groups, and intended goals. Results: Few studies have specifically implemented PA protocols in intergenerational relationships, and most have planned remote activities without monitoring outcomes. The main advantages of intergenerational PA are oriented towards the social and relational sphere rather than simple PA involvement. Conclusions: For the elderly, these programs may help mitigate age-related deficits, while children and adolescents, when adapting to their older counterparts, experience greater effectiveness when provided with clear guidance during shared activities. Considering the characteristics and needs of individuals of different ages, different activities must be proposed to obtain different results. The organization of workshops and preparatory sessions will help in facilitating relationships and interactions among participants.
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Affiliation(s)
- Giulia Di Martino
- Department of Medicine and Health Sciences, University of Molise, 86100 Campobasso, Italy; (G.D.M.); (C.d.V.); (M.C.); (A.B.); (G.F.); (G.C.)
| | - Carlo della Valle
- Department of Medicine and Health Sciences, University of Molise, 86100 Campobasso, Italy; (G.D.M.); (C.d.V.); (M.C.); (A.B.); (G.F.); (G.C.)
- Department of Neurosciences, Biomedicine and Movement, University of Verona, 37314 Verona, Italy
| | - Marco Centorbi
- Department of Medicine and Health Sciences, University of Molise, 86100 Campobasso, Italy; (G.D.M.); (C.d.V.); (M.C.); (A.B.); (G.F.); (G.C.)
| | - Andrea Buonsenso
- Department of Medicine and Health Sciences, University of Molise, 86100 Campobasso, Italy; (G.D.M.); (C.d.V.); (M.C.); (A.B.); (G.F.); (G.C.)
| | - Giovanni Fiorilli
- Department of Medicine and Health Sciences, University of Molise, 86100 Campobasso, Italy; (G.D.M.); (C.d.V.); (M.C.); (A.B.); (G.F.); (G.C.)
| | - Claudia Crova
- Department of Movement, Human and Health Sciences, University of Rome “Foro Italico”, 00135 Rome, Italy;
| | - Alessandra di Cagno
- Department of Movement, Human and Health Sciences, University of Rome “Foro Italico”, 00135 Rome, Italy;
- Department of Human Sciences, Guglielmo Marconi University, Via Plinio 44, 00193 Rome, Italy
| | - Giuseppe Calcagno
- Department of Medicine and Health Sciences, University of Molise, 86100 Campobasso, Italy; (G.D.M.); (C.d.V.); (M.C.); (A.B.); (G.F.); (G.C.)
| | - Enzo Iuliano
- Faculty of Medicine, University of Ostrava, 73000 Ostrava, Czech Republic;
- Faculty of Psychology, eCampus University, 22060 Novedrate, Italy
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Feng J, Huang WY, Zheng C, Jiao J, Khan A, Nisar M, Wong SHS. The Overflow Effects of Movement Behaviour Change Interventions for Children and Adolescents: A Systematic Review and Meta-Analysis of Randomised Controlled Trials. Sports Med 2024:10.1007/s40279-024-02113-1. [PMID: 39292361 DOI: 10.1007/s40279-024-02113-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/28/2024] [Indexed: 09/19/2024]
Abstract
BACKGROUND Considering the finite time within a 24-h day, the distribution of time spent on movement behaviours has been found to be associated with health outcomes. OBJECTIVES This systematic review and meta-analysis aimed to summarise and evaluate the overflow effects of interventions targeting a single behaviour (physical activity, sedentary behaviour/screen time, or sleep) on other non-targeted behaviours among children and adolescents. METHODS Six databases (MEDLINE [Ovid], PsycINFO [ProQuest], EMBASE [Ovid], PubMed, Web of Science and SPORTDiscus [EBSCO]) were searched for relevant studies published before 13 May, 2024. Randomised controlled trials and clustered randomised controlled trials that targeted a single behaviour and also assessed the effects on non-targeted behaviours, comprised of healthy children under the age of 18 years, were included. Movement behaviours can be measured either objectively or subjectively. The revised Cochrane risk-of-bias tool for randomised trials was adopted to evaluate the risk of bias. RESULTS A total of 102 studies with 45,998 participants from 21 countries were identified, and 60 of them with 26,183 participants were incorporated into the meta-analysis. The meta-analysis demonstrated that physical activity interventions led to a reduction in the proportion of each day spent in sedentary behaviour (mean difference = - 0.95% of wear time, 95% confidence interval - 1.44, - 0.45, I2 = 39%). Sedentary behaviour interventions resulted in increased standing time (mean difference = 3.87%, 95% confidence interval 1.99, 5.75, I2 = 0%). Interventions targeting screen time did not yield changes in physical activity or sleep. The findings on the effectiveness of sleep interventions on non-targeted behaviours and of physical activity interventions on sleep were inconclusive. CONCLUSIONS Overall, the findings suggested that interventions aimed at increasing physical activity or reducing sedentary behaviour had overflow effects on non-targeted behaviours, but the effect sizes were small. Additional evidence is needed to reach definitive conclusions regarding the impact of behaviour change interventions on sleep and of the overflow effects of sleep interventions.
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Affiliation(s)
- Jie Feng
- Department of Sport, Physical Education and Health, Hong Kong Baptist University, Hong Kong, China
- Department of Sports Science and Physical Education, The Chinese University of Hong Kong, Hong Kong, China
| | - Wendy Yajun Huang
- Department of Sport, Physical Education and Health, Hong Kong Baptist University, Hong Kong, China.
- Dr. Stephen Hui Research Centre for Physical Recreation and Wellness, Hong Kong Baptist University, Hong Kong, China.
| | - Chen Zheng
- Department of Health and Physical Education, The Education University of Hong Kong, Hong Kong, China
| | - Jiao Jiao
- Department of Sport, Physical Education and Health, Hong Kong Baptist University, Hong Kong, China
| | - Asaduzzaman Khan
- School of Health and Rehabilitation Sciences, The University of Queensland, Brisbane, QLD, Australia
| | - Mehwish Nisar
- School of Health and Rehabilitation Sciences, The University of Queensland, Brisbane, QLD, Australia
| | - Stephen Heung-Sang Wong
- Department of Sports Science and Physical Education, The Chinese University of Hong Kong, Hong Kong, China
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Ashton LM, Rayward AT, Pollock ER, Kennedy SL, Young MD, Eather N, Barnes AT, Lee DR, Morgan PJ. Twelve-month outcomes of a community-based, father-daughter physical activity program delivered by trained facilitators. Int J Behav Nutr Phys Act 2024; 21:101. [PMID: 39261926 PMCID: PMC11389107 DOI: 10.1186/s12966-024-01648-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2024] [Accepted: 08/22/2024] [Indexed: 09/13/2024] Open
Abstract
BACKGROUND Dads and Daughters Exercising and Empowered (DADEE) is a program targeting fathers/father-figures to improve their daughters' physical activity and well-being. Previous randomised controlled efficacy and effectiveness trials of DADEE demonstrated meaningful improvements in a range of holistic outcomes for both fathers and daughters in the short-term. This study aims to assess the long-term impact (12-months) of the program when delivered in the community by trained facilitators. METHODS Fathers/father-figures and their primary school-aged daughters were recruited from Newcastle, Australia into a single-arm, non-randomised, pre-post study with assessments at baseline, 10-weeks (post-intervention) and 12-months. The 9-session program included weekly 90-min educational and practical sessions, plus home-based tasks. The primary outcome was fathers' and daughters' days per week meeting national physical activity recommendations (≥ 30 min/day of MVPA for fathers, ≥ 60 min/day MVPA for daughters). Secondary outcomes included physical activity, screen time, self-esteem, father-daughter relationship, social-emotional well-being, parenting measures, and process outcomes (including recruitment, attendance, retention and program acceptability). RESULTS Twelve programs were delivered with 257 fathers (40.0 ± 9.2 years) and 285 daughters (7.7 ± 1.9 years). Mixed effects regression models revealed significant intervention effects for the primary outcome, with fathers increasing the days/week meeting physical activity recommendations by 27% at 10-weeks (p < 0.001) and by 19% at 12-months (p < 0.001) compared with baseline. Likewise, for daughters there was a significant increase by 25% at 10-weeks (p < 0.001) and by 14% at 12-months (p = 0.02) when compared to baseline. After conducting a sensitivity analysis with participants unaffected by COVID-19 lockdowns (n = 175 fathers, n = 192 daughters), the primary outcome results strengthened at both time-points for fathers and at 12-months for daughters. Additionally, the sensitivity analysis revealed significant intervention effects at post-program and 12-months for all secondary outcomes in both fathers and daughters. Furthermore, the process outcomes for recruitment capability, attendance, retention and satisfaction levels were high. CONCLUSIONS Findings provide support for a sustained effect of the DADEE program while delivered in a community setting by trained facilitators. Further investigation is required to identify optimised implementation processes and contextual factors to deliver the program at scale. TRIAL REGISTRATION ACTRN12617001450303 . Date registered: 12/10/2017.
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Affiliation(s)
- Lee M Ashton
- Centre for Active Living and Learning, College of Human and Social Futures, School of Education, University of Newcastle, University Drive, Awabakal Country, Callaghan, NSW, 2308, Australia
- Active Living and Learning Research Program, Hunter Medical Research Institute (HMRI), Lot 1 Kookaburra Circuit, New Lambton Heights, NSW, 2305, Australia
| | - Anna T Rayward
- School of Medicine and Public Health, The University of Newcastle, Newcastle, NSW, Australia
- The National Centre of Implementation Science (NCOIS), The University of Newcastle, Newcastle, NSW, Australia
- Population Health Research Program, Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- Hunter New England Population Health, Hunter New England Local Health District, Newcastle, NSW, Australia
| | - Emma R Pollock
- School of Medicine and Public Health, The University of Newcastle, Newcastle, NSW, Australia
- The National Centre of Implementation Science (NCOIS), The University of Newcastle, Newcastle, NSW, Australia
- Population Health Research Program, Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- Hunter New England Population Health, Hunter New England Local Health District, Newcastle, NSW, Australia
| | - Stevie-Lee Kennedy
- School of Medicine and Public Health, The University of Newcastle, Newcastle, NSW, Australia
- The National Centre of Implementation Science (NCOIS), The University of Newcastle, Newcastle, NSW, Australia
- Population Health Research Program, Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- Hunter New England Population Health, Hunter New England Local Health District, Newcastle, NSW, Australia
| | - Myles D Young
- Active Living and Learning Research Program, Hunter Medical Research Institute (HMRI), Lot 1 Kookaburra Circuit, New Lambton Heights, NSW, 2305, Australia
- College of Engineering, Science and Environment, School of Psychology, University of Newcastle, Callaghan, NSW, Australia
| | - Narelle Eather
- Centre for Active Living and Learning, College of Human and Social Futures, School of Education, University of Newcastle, University Drive, Awabakal Country, Callaghan, NSW, 2308, Australia
- Active Living and Learning Research Program, Hunter Medical Research Institute (HMRI), Lot 1 Kookaburra Circuit, New Lambton Heights, NSW, 2305, Australia
| | - Alyce T Barnes
- School of Medicine and Public Health, The University of Newcastle, Newcastle, NSW, Australia
- The National Centre of Implementation Science (NCOIS), The University of Newcastle, Newcastle, NSW, Australia
- Population Health Research Program, Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- Hunter New England Population Health, Hunter New England Local Health District, Newcastle, NSW, Australia
| | - Daniel R Lee
- Centre for Active Living and Learning, College of Human and Social Futures, School of Education, University of Newcastle, University Drive, Awabakal Country, Callaghan, NSW, 2308, Australia
- Active Living and Learning Research Program, Hunter Medical Research Institute (HMRI), Lot 1 Kookaburra Circuit, New Lambton Heights, NSW, 2305, Australia
| | - Philip J Morgan
- Centre for Active Living and Learning, College of Human and Social Futures, School of Education, University of Newcastle, University Drive, Awabakal Country, Callaghan, NSW, 2308, Australia.
- Active Living and Learning Research Program, Hunter Medical Research Institute (HMRI), Lot 1 Kookaburra Circuit, New Lambton Heights, NSW, 2305, Australia.
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Spiga F, Davies AL, Tomlinson E, Moore TH, Dawson S, Breheny K, Savović J, Gao Y, Phillips SM, Hillier-Brown F, Hodder RK, Wolfenden L, Higgins JP, Summerbell CD. Interventions to prevent obesity in children aged 5 to 11 years old. Cochrane Database Syst Rev 2024; 5:CD015328. [PMID: 38763517 PMCID: PMC11102828 DOI: 10.1002/14651858.cd015328.pub2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/21/2024]
Abstract
BACKGROUND Prevention of obesity in children is an international public health priority given the prevalence of the condition (and its significant impact on health, development and well-being). Interventions that aim to prevent obesity involve behavioural change strategies that promote healthy eating or 'activity' levels (physical activity, sedentary behaviour and/or sleep) or both, and work by reducing energy intake and/or increasing energy expenditure, respectively. There is uncertainty over which approaches are more effective and numerous new studies have been published over the last five years, since the previous version of this Cochrane review. OBJECTIVES To assess the effects of interventions that aim to prevent obesity in children by modifying dietary intake or 'activity' levels, or a combination of both, on changes in BMI, zBMI score and serious adverse events. SEARCH METHODS We used standard, extensive Cochrane search methods. The latest search date was February 2023. SELECTION CRITERIA Randomised controlled trials in children (mean age 5 years and above but less than 12 years), comparing diet or 'activity' interventions (or both) to prevent obesity with no intervention, usual care, or with another eligible intervention, in any setting. Studies had to measure outcomes at a minimum of 12 weeks post baseline. We excluded interventions designed primarily to improve sporting performance. DATA COLLECTION AND ANALYSIS We used standard Cochrane methods. Our outcomes were body mass index (BMI), zBMI score and serious adverse events, assessed at short- (12 weeks to < 9 months from baseline), medium- (9 months to < 15 months) and long-term (≥ 15 months) follow-up. We used GRADE to assess the certainty of the evidence for each outcome. MAIN RESULTS This review includes 172 studies (189,707 participants); 149 studies (160,267 participants) were included in meta-analyses. One hundred forty-six studies were based in high-income countries. The main setting for intervention delivery was schools (111 studies), followed by the community (15 studies), the home (eight studies) and a clinical setting (seven studies); one intervention was conducted by telehealth and 31 studies were conducted in more than one setting. Eighty-six interventions were implemented for less than nine months; the shortest was conducted over one visit and the longest over four years. Non-industry funding was declared by 132 studies; 24 studies were funded in part or wholly by industry. Dietary interventions versus control Dietary interventions, compared with control, may have little to no effect on BMI at short-term follow-up (mean difference (MD) 0, 95% confidence interval (CI) -0.10 to 0.10; 5 studies, 2107 participants; low-certainty evidence) and at medium-term follow-up (MD -0.01, 95% CI -0.15 to 0.12; 9 studies, 6815 participants; low-certainty evidence) or zBMI at long-term follow-up (MD -0.05, 95% CI -0.10 to 0.01; 7 studies, 5285 participants; low-certainty evidence). Dietary interventions, compared with control, probably have little to no effect on BMI at long-term follow-up (MD -0.17, 95% CI -0.48 to 0.13; 2 studies, 945 participants; moderate-certainty evidence) and zBMI at short- or medium-term follow-up (MD -0.06, 95% CI -0.13 to 0.01; 8 studies, 3695 participants; MD -0.04, 95% CI -0.10 to 0.02; 9 studies, 7048 participants; moderate-certainty evidence). Five studies (1913 participants; very low-certainty evidence) reported data on serious adverse events: one reported serious adverse events (e.g. allergy, behavioural problems and abdominal discomfort) that may have occurred as a result of the intervention; four reported no effect. Activity interventions versus control Activity interventions, compared with control, may have little to no effect on BMI and zBMI at short-term or long-term follow-up (BMI short-term: MD -0.02, 95% CI -0.17 to 0.13; 14 studies, 4069 participants; zBMI short-term: MD -0.02, 95% CI -0.07 to 0.02; 6 studies, 3580 participants; low-certainty evidence; BMI long-term: MD -0.07, 95% CI -0.24 to 0.10; 8 studies, 8302 participants; zBMI long-term: MD -0.02, 95% CI -0.09 to 0.04; 6 studies, 6940 participants; low-certainty evidence). Activity interventions likely result in a slight reduction of BMI and zBMI at medium-term follow-up (BMI: MD -0.11, 95% CI -0.18 to -0.05; 16 studies, 21,286 participants; zBMI: MD -0.05, 95% CI -0.09 to -0.02; 13 studies, 20,600 participants; moderate-certainty evidence). Eleven studies (21,278 participants; low-certainty evidence) reported data on serious adverse events; one study reported two minor ankle sprains and one study reported the incident rate of adverse events (e.g. musculoskeletal injuries) that may have occurred as a result of the intervention; nine studies reported no effect. Dietary and activity interventions versus control Dietary and activity interventions, compared with control, may result in a slight reduction in BMI and zBMI at short-term follow-up (BMI: MD -0.11, 95% CI -0.21 to -0.01; 27 studies, 16,066 participants; zBMI: MD -0.03, 95% CI -0.06 to 0.00; 26 studies, 12,784 participants; low-certainty evidence) and likely result in a reduction of BMI and zBMI at medium-term follow-up (BMI: MD -0.11, 95% CI -0.21 to 0.00; 21 studies, 17,547 participants; zBMI: MD -0.05, 95% CI -0.07 to -0.02; 24 studies, 20,998 participants; moderate-certainty evidence). Dietary and activity interventions compared with control may result in little to no difference in BMI and zBMI at long-term follow-up (BMI: MD 0.03, 95% CI -0.11 to 0.16; 16 studies, 22,098 participants; zBMI: MD -0.02, 95% CI -0.06 to 0.01; 22 studies, 23,594 participants; low-certainty evidence). Nineteen studies (27,882 participants; low-certainty evidence) reported data on serious adverse events: four studies reported occurrence of serious adverse events (e.g. injuries, low levels of extreme dieting behaviour); 15 studies reported no effect. Heterogeneity was apparent in the results for all outcomes at the three follow-up times, which could not be explained by the main setting of the interventions (school, home, school and home, other), country income status (high-income versus non-high-income), participants' socioeconomic status (low versus mixed) and duration of the intervention. Most studies excluded children with a mental or physical disability. AUTHORS' CONCLUSIONS The body of evidence in this review demonstrates that a range of school-based 'activity' interventions, alone or in combination with dietary interventions, may have a modest beneficial effect on obesity in childhood at short- and medium-term, but not at long-term follow-up. Dietary interventions alone may result in little to no difference. Limited evidence of low quality was identified on the effect of dietary and/or activity interventions on severe adverse events and health inequalities; exploratory analyses of these data suggest no meaningful impact. We identified a dearth of evidence for home and community-based settings (e.g. delivered through local youth groups), for children living with disabilities and indicators of health inequities.
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Affiliation(s)
- Francesca Spiga
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Annabel L Davies
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Eve Tomlinson
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Theresa Hm Moore
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- NIHR Applied Research Collaboration West (ARC West) at University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK
| | - Sarah Dawson
- NIHR Applied Research Collaboration West (ARC West) at University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Katie Breheny
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Jelena Savović
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- NIHR Applied Research Collaboration West (ARC West) at University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK
| | - Yang Gao
- Department of Sport, Physical Education and Health, Hong Kong Baptist University, Kowloon, Hong Kong
| | - Sophie M Phillips
- Department of Sport and Exercise Science, Durham University, Durham, UK
- Fuse - Centre for Translational Research in Public Health, Newcastle upon Tyne, UK
- Child Health and Physical Activity Laboratory, School of Occupational Therapy, Western University, London, Ontario, Canada
| | - Frances Hillier-Brown
- Fuse - Centre for Translational Research in Public Health, Newcastle upon Tyne, UK
- Human Nutrition Research Centre and Population Health Sciences Institute, University of Newcastle, Newcastle, UK
| | - Rebecca K Hodder
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, Australia
- School of Medicine and Public Health, The University of Newcastle, Callaghan, Australia
- Population Health Research Program, Hunter Medical Research Institute, New Lambton, Australia
- National Centre of Implementation Science, The University of Newcastle, Callaghan, Australia
| | - Luke Wolfenden
- Hunter New England Population Health, Hunter New England Local Health District, Wallsend, Australia
- School of Medicine and Public Health, The University of Newcastle, Callaghan, Australia
| | - Julian Pt Higgins
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- NIHR Applied Research Collaboration West (ARC West) at University Hospitals Bristol and Weston NHS Foundation Trust, Bristol, UK
- NIHR Bristol Biomedical Research Centre at University Hospitals Bristol and Weston NHS Foundation Trust and the University of Bristol, Bristol, UK
| | - Carolyn D Summerbell
- Department of Sport and Exercise Science, Durham University, Durham, UK
- Fuse - Centre for Translational Research in Public Health, Newcastle upon Tyne, UK
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Jansen E, Marceau K, Sellers R, Chen T, Garfield CF, Leve LD, Neiderhiser JM, Spotts EL, Roary M. The role of fathers in child development from preconception to postnatal influences: Opportunities for the National Institutes of Health Environmental influences on Child Health Outcomes (ECHO) program. Dev Psychobiol 2024; 66:e22451. [PMID: 38388196 PMCID: PMC10902630 DOI: 10.1002/dev.22451] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Revised: 10/21/2023] [Accepted: 12/04/2023] [Indexed: 02/24/2024]
Abstract
A growing body of literature highlights the important role of paternal health and socioemotional characteristics in child development, from preconception through adolescence. Much of this research addresses the indirect effects of fathers, for instance, their influence on maternal behaviors during the prenatal period or via the relationship with their partner. However, emerging evidence also recognizes the direct role of paternal health and behavior for child health and adjustment across development. This critical review presents evidence of biological and sociocultural influences of fathers on preconception, prenatal, and postnatal contributions to child development. The National Institutes of Health Environmental influences on Child Health Outcomes (ECHO) program incorporates in its central conceptualization the impact of fathers on family and child outcomes. This critical synthesis of the literature focuses on three specific child outcomes in the ECHO program: health outcomes (e.g., obesity), neurodevelopmental outcomes (e.g., emotional, behavioral, psychopathological development), and positive health. We highlight the unique insights gained from the literature to date and provide next steps for future studies on paternal influences.
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Affiliation(s)
- Elena Jansen
- Division of Child & Adolescent Psychiatry, Department of Psychiatry & Behavioral Sciences , Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Kristine Marceau
- Department of Human Development and Family Science, Purdue University, West Lafayette, Indiana, USA
| | - Ruth Sellers
- Faculty of Education, University of Cambridge, Cambridge, UK
| | - Tong Chen
- Department of Psychology, The Pennsylvania State University, University Park, Pennsylvania, USA
| | - Craig F Garfield
- Lurie Children's Hospital of Chicago, Chicago, Illinois, USA
- Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Leslie D Leve
- Prevention Science Institute, University of Oregon, Eugene, Oregon, USA
| | - Jenae M Neiderhiser
- Department of Psychology, The Pennsylvania State University, University Park, Pennsylvania, USA
| | - Erica L Spotts
- Office of Behavioral and Social Sciences Research, National Institutes of Health, Bethesda, Maryland, USA
| | - Mary Roary
- Substance Abuse and Mental Health Service Administration, United States Department of Health and Human Services, Rockville, Maryland, USA
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Rabuffetti M, De Giovannini E, Carpinella I, Lencioni T, Fornia L, Ferrarin M. Association of 7-Day Profiles of Motor Activity in Marital Dyads with One Component Affected by Parkinson's Disease. SENSORS (BASEL, SWITZERLAND) 2023; 23:1087. [PMID: 36772127 PMCID: PMC9921738 DOI: 10.3390/s23031087] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 01/12/2023] [Accepted: 01/16/2023] [Indexed: 06/18/2023]
Abstract
(1) Background: A noticeable association between the motor activity (MA) profiles of persons living together has been found in previous studies. Social actigraphy methods have shown that this association, in marital dyads composed of healthy individuals, is greater than that of a single person compared to itself. This study aims at verifying the association of MA profiles in dyads where one component is affected by Parkinson's disease (PD). (2) Methods: Using a wearable sensor-based social actigraphy approach, we continuously monitored, for 7 days, the activities of 27 marital dyads including one component with PD. (3) Results: The association of motor activity profiles within a marital dyad (cross-correlation coefficient 0.344) is comparable to the association of any participant with themselves (0.325). However, when considering the disease severity quantified by the UPDRS III score, it turns out that the less severe the symptoms, the more associated are the MA profiles. (4) Conclusions: Our findings suggest that PD treatment could be improved by leveraging the MA of the healthy spouse, thus promoting lifestyles also beneficial for the component affected by PD. The actigraphy approach provided valuable information on habitual functions and motor fluctuations, and could be useful in investigating the response to treatment.
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Affiliation(s)
| | - Ennio De Giovannini
- Centro Medico Riabilita Cooperativa Sociale Mano Amica Onlus, 36015 Schio, Italy
| | | | | | - Luca Fornia
- IRCCS Fondazione Don Carlo Gnocchi, 20148 Milano, Italy
- Department of Medical Biotechnology and Translational Medicine, Università degli Studi di Milano, 20133 Milano, Italy
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Champion KE, Gardner LA, McCann K, Hunter E, Parmenter B, Aitken T, Chapman C, Spring B, Thornton L, Slade T, Teesson M, Newton NC. Parent-based interventions to improve multiple lifestyle risk behaviors among adolescents: A systematic review and meta-analysis. Prev Med 2022; 164:107247. [PMID: 36075490 DOI: 10.1016/j.ypmed.2022.107247] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 08/11/2022] [Accepted: 09/02/2022] [Indexed: 11/29/2022]
Abstract
Lifestyle risk behaviors often co-occur and are prevalent among adolescents. Parent-based interventions addressing risk behaviors concurrently have the potential to improve youth and parent outcomes. This systematic review evaluated the efficacy of parent-based interventions targeting multiple lifestyle risk behaviors among adolescents and parents. MEDLINE (Ovid), Embase (Ovid), PsycInfo (Ovid), Scopus, CINAHL, the Cochrane Database of Systematic Reviews (CDSR) and Cochrane Central Register of Controlled Trials (CENTRAL) were searched from 2010-May 2021. Eligible studies were randomised controlled trials (RCTs) of parent-based interventions addressing 2+ risk behaviors: alcohol use, smoking, poor diet, physical inactivity, sedentary behaviors, and poor sleep. Studies directly targeting parents, and that assessed adolescent outcomes (11-18 years) were eligible. Where possible, random-effects meta-analysis was conducted. From 11,975 identified records, 46 publications of 36 RCTs (n = 28,322 youth, n = 7385 parents) were eligible. Parent-based interventions were associated with improved adolescent moderate-to-vigorous physical activity (MVPA) [Odds Ratio (OR) = 1.82, 95% CI = 1.18, 2.81; p = 0.007], and reduced screen time (SMD = -0.39, 95% CI = -0.62, -0.16, p = 0.0009) and discretionary food intake (SMD = -0.18; 95% CI = -0.30, -0.06; p = 0.002) compared to controls. However, there was some evidence that interventions increased the odds of ever using tobacco in the medium-term (OR = 1.47, 95% CI = 0.99, 2.18, p = 0.06) and of past month tobacco use in the long-term (OR = 1.46, 95% CI = 1.12, 1.90; p = 0.005). Overall, the quality of evidence was moderate. Parent-based interventions targeting multiple risk behaviors improved adolescent MVPA, and reduced screen time discretionary food intake. Further research is needed to address sleep problems and increase intervention efficacy, particularly for alcohol and tobacco use.
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Affiliation(s)
- Katrina E Champion
- The Matilda Centre for Research in Mental Health and Substance Use, Level 6, Jane Foss Russell Building GO2, University of Sydney, Camperdown, 2006 Sydney, Australia.
| | - Lauren A Gardner
- The Matilda Centre for Research in Mental Health and Substance Use, Level 6, Jane Foss Russell Building GO2, University of Sydney, Camperdown, 2006 Sydney, Australia
| | - Karrah McCann
- The Matilda Centre for Research in Mental Health and Substance Use, Level 6, Jane Foss Russell Building GO2, University of Sydney, Camperdown, 2006 Sydney, Australia
| | - Emily Hunter
- The Matilda Centre for Research in Mental Health and Substance Use, Level 6, Jane Foss Russell Building GO2, University of Sydney, Camperdown, 2006 Sydney, Australia
| | - Belinda Parmenter
- School of Health Sciences, Faculty of Medicine and Health, Wallace Wurth Building (C27), Cnr High St & Botany St, UNSW Sydney, Sydney, Australia
| | - Tess Aitken
- University of Sydney Library, University of Sydney, Sydney 2006, NSW, Australia
| | - Cath Chapman
- The Matilda Centre for Research in Mental Health and Substance Use, Level 6, Jane Foss Russell Building GO2, University of Sydney, Camperdown, 2006 Sydney, Australia
| | - Bonnie Spring
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, 680 N. Lake Shore Dr, Suite 1400, Chicago, IL 60611, United States
| | - Louise Thornton
- The Matilda Centre for Research in Mental Health and Substance Use, Level 6, Jane Foss Russell Building GO2, University of Sydney, Camperdown, 2006 Sydney, Australia; School of Medicine and Public Health, The University of Newcastle, University Dr, Callahan NSW, 2308 Newcastle, Australia; School of Public Health and Community Medicine UNSW, UNSW Sydney, NSW 2052, Australia
| | - Tim Slade
- The Matilda Centre for Research in Mental Health and Substance Use, Level 6, Jane Foss Russell Building GO2, University of Sydney, Camperdown, 2006 Sydney, Australia
| | - Maree Teesson
- The Matilda Centre for Research in Mental Health and Substance Use, Level 6, Jane Foss Russell Building GO2, University of Sydney, Camperdown, 2006 Sydney, Australia
| | - Nicola C Newton
- The Matilda Centre for Research in Mental Health and Substance Use, Level 6, Jane Foss Russell Building GO2, University of Sydney, Camperdown, 2006 Sydney, Australia
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Freeman EE. Enhancing fathers’ engagement in parenting programs: identifying preferred program attributes. AUSTRALIAN PSYCHOLOGIST 2022. [DOI: 10.1080/00050067.2022.2125283] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Affiliation(s)
- Emily E. Freeman
- School of Psychological Sciences, College of Engineering, Science and Environment, The University of Newcastle, Callaghan, Australia
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Rabuffetti M, De Giovannini E, Ferrarin M. To Live Together Is to Move Together: Social Actigraphy Applied to Healthy Elderly People. SENSORS (BASEL, SWITZERLAND) 2022; 22:6011. [PMID: 36015772 PMCID: PMC9412347 DOI: 10.3390/s22166011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Revised: 08/04/2022] [Accepted: 08/09/2022] [Indexed: 06/15/2023]
Abstract
(1) Background: Actigraphic methods allow prolonged monitoring of human physical activity (PA) by wearable sensors in a real-life unsupervised context. They generally do not characterize the social context, and nearby persons can have a modulating effect on the performed PA. The present study aims to apply an existing method for bimanual actigraphy to both components of a marital dyad to verify the level of association between the two PA profiles. Other dyad comparisons complete the overall figure. (2) Methods: Seven-day actigraphic recordings collected from both components of 20 married couples of retired, cohabiting, healthy subjects (age ranging from 58 to 87 years) were considered. (3) Results: PA profiles of a marital dyad are significantly more correlated (coefficient: 0.444) than unrelated couples (0.278). Interestingly, participants' profiles compared with their own recording shifted by 24 h, evidencing an intermediate level of association (0.335). Data from the literature, the high association (0.875) of individual right and left wrist profiles, enforce the analysis. (4) Conclusions: The proposed method, called "social actigraphy", confirmed that the partner has a relevant effect on one's PA profile, thus suggesting involving the partner in programs concerning lifestyle changes and patient rehabilitation.
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Affiliation(s)
| | - Ennio De Giovannini
- Centro Medico Riabilita Cooperativa Sociale Mano Amica Onlus, 36015 Schio, VI, Italy
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