The Infant Health Study - Promoting mental health and healthy weight through sensitive parenting to infants with cognitive, emotional, and regulatory vulnerabilities: protocol for a stepped-wedge cluster-randomized trial and a process evaluation within municipality settings

Anne Mette Skovgaard, Marian Bakermans-Kranenburg, Maiken Pontoppidan, Tine Tjørnhøj-Thomsen, Katrine Rich Madsen, Ida Voss, Stine Kjær Wehner, Trine Pagh Pedersen, Lotte Finseth, Rodney S Taylor, Janne Schurmann Tolstrup, Janni Ammitzbøll, Anne Mette Skovgaard, Marian Bakermans-Kranenburg, Maiken Pontoppidan, Tine Tjørnhøj-Thomsen, Katrine Rich Madsen, Ida Voss, Stine Kjær Wehner, Trine Pagh Pedersen, Lotte Finseth, Rodney S Taylor, Janne Schurmann Tolstrup, Janni Ammitzbøll

Abstract

Background: Child mental health problems are a major public health concern associated with poor mental and physical health later in development. The study evaluates a new community-based intervention to promote sensitive parenting and reduce enduring mental health problems and unhealthy weight among vulnerable infants aged 9-24 months.

Methods: We use a step-wedge cluster randomized controlled trial design conducted within a home visiting program offered by community health nurses to infant families in Denmark. Sixteen municipalities are randomly allocated to implement the intervention starting at three successive time points from May 1, 2022 to January 1, 2023. A total of 900-1000 families will be included. A standardized program, Psykisk Udvikling og Funktion (PUF), is used to identify infants with major problems of eating, sleep, emotional or behavioral regulation or developmental problems. The intervention builds on the Video-Feedback Intervention to Promote Positive Parenting (VIPP) program, adapted to the PUF-context and named the VIPP-PUF. Children will be followed up at ages 18 and 24 months. Primary outcome measure is the Strengths and Difficulties Questionnaire (SDQ) at child age 24 months. The other outcome measures include body mass index z-scores, the Ages and Stages Questionnaire Social-Emotional (ASQ:SE2); the Child Behavior Checklist (CBCL 1½ -5); Eating behavior Questionnaires; the Being a Mother-questionnaire (BaM13); the Parental Stress Scale (PSS); and the WHO-5 well-being index (WHO-5). Data on child and family factors are obtained from National registries and the Child Health Database. Quantitative measures are applied to examine the effectiveness of the VIPP-PUF intervention and the implementation process. Qualitative measures include interviews with CHNs, parents and municipality stakeholders to explore factors that may influence the adherence and effectiveness of the intervention.

Discussion: The study examines a service-setting based intervention building on the promotion of sensitive parenting to vulnerable infants. We use a mixed methods approach to evaluate the intervention, taking into account the influences of COVID-19 pandemic running since March 2020. Overall, the study has potential to add to the knowledge on the possibilities of prevention within the municipality child health care to reduce the risk of mental health problems and unhealthy weight in early childhood.

Trial registration: www.ClinicalTrials.gov ; ID NCT04601779 ; Protocol ID 95-110-21307. Registered 25 June 2021.

Keywords: Community health services; Early intervention; Infants; Mental health problems; Mixed-methods; Process-evaluation; Sensitive parenting; Step-wedge randomized controlled trial; Unhealthy weight.

Conflict of interest statement

The authors declare that they have no competing interests.

© 2022. The Author(s).

Figures

Fig. 1
Fig. 1
Overview of the Standard Protocol Items: Recommendation for Interventional Trials (SPIRIT) schedule of enrollment, intervention, and assessments
Fig. 2
Fig. 2
CONSORT diagram of projected participant flow through the Stepped Wedge Randomized Controlled Trial
Fig. 3
Fig. 3
Diagram of hypothesized paths

References

    1. Patel V, Flisher AJ, Hetrick S, McGorry P. Mental health of young people: a global public-health challenge. Lancet. 2007;369(9569):1302–13.
    1. Erskine HE, Moffitt TE, Copeland WE, Costello EJ, Ferrari AJ, Patton G, et al. A heavy burden on young minds: the global burden of mental and substance use disorders in children and youth. Psychol Med. 2015;45(7):1551–63.
    1. Rutter M, Kim-Cohen J, Maughan B. Continuities and discontinuities in psychopathology between childhood and adult life. J Child Psychol Psychiatry. 2006;47(3-4):276–95.
    1. Polanczyk GV, Salum GA, Sugaya LS, Caye A, Rohde LA. Annual research review: A meta-analysis of the worldwide prevalence of mental disorders in children and adolescents. J Child Psychol Psychiatry. 2015;56(3):345–65.
    1. Ford T, Goodman R, Meltzer H. The British Child and Adolescent Mental Health Survey 1999: the prevalence of DSM-IV disorders. J Am Acad Child Adolesc Psychiatry. 2003;42(10):1203–11.
    1. Petersen DJ, Bilenberg N, Hoerder K, Gillberg C. The population prevalence of child psychiatric disorders in Danish 8- to 9-year-old children. Eur Child Adolesc Psychiatry. 2006;15(2):71–8.
    1. Ford T, Collishaw S, Meltzer H, Goodman R. A prospective study of childhood psychopathology: independent predictors of change over three years. Soc Psychiatry Psychiatr Epidemiol. 2007;42(12):953–61.
    1. Kessler RC, Avenevoli S, Costello EJ, Georgiades K, Green JG, Gruber MJ, et al. Prevalence, persistence, and sociodemographic correlates of DSM-IV disorders in the National Comorbidity Survey Replication Adolescent Supplement. Arch Gen Psychiatry. 2012;69(4):372–80.
    1. Elberling H, Linneberg A, Rask CU, Houman T, Goodman R, Skovgaard AM. Psychiatric disorders in Danish children aged 5-7 years: A general population study of prevalence and risk factors from the Copenhagen Child Cohort (CCC 2000) Nord J Psychiatry. 2016;70(2):146–55.
    1. Ford T, Macdiarmid F, Russell AE, Racey D, Goodman R. The predictors of persistent DSM-IV disorders in 3-year follow-ups of the British Child and Adolescent Mental Health Surveys 1999 and 2004. Psychol Med. 2017;47(6):1126–37.
    1. Skovgaard AM, Olsen EM, Christiansen E, Houmann T, Landorph SL, Jørgensen T. Predictors (0-10 months) of psychopathology at age 11/2 years - a general population study in The Copenhagen Child Cohort CCC 2000. J Child Psychol Psychiatry. 2008;49(5):553–62.
    1. Elberling H, Linneberg A, Olsen EM, Houmann T, Rask CU, Goodman R, et al. Infancy predictors of hyperkinetic and pervasive developmental disorders at ages 5-7 years: results from the Copenhagen Child Cohort CCC2000. J Child Psychol Psychiatry. 2014;55(12):1328–35.
    1. Jaspers M, de Winter AF, Buitelaar JK, Verhulst FC, Reijneveld SA, Hartman CA. Early childhood assessments of community pediatric professionals predict autism spectrum and attention deficit hyperactivity problems. J Abnorm Child Psychol. 2013;41(1):71–80.
    1. Johnson MH, Gliga T, Jones E, Charman T. Annual research review: Infant development, autism, and ADHD--early pathways to emerging disorders. J Child Psychol Psychiatry. 2015;56(3):228–47.
    1. Lemcke S, Parner ET, Bjerrum M, Thomsen PH, Lauritsen MB. Early development in children that are later diagnosed with disorders of attention and activity: a longitudinal study in the Danish National Birth Cohort. Eur Child Adolesc Psychiatry. 2016;25(10):1055–66.
    1. Shephard E, Bedford R, Milosavljevic B, Gliga T, Jones EJH, Pickles A, et al. Early developmental pathways to childhood symptoms of attention-deficit hyperactivity disorder, anxiety and autism spectrum disorder. J Child Psychol Psychiatry. 2019;60(9):963–74.
    1. Hemmi MH, Wolke D, Schneider S. Associations between problems with crying, sleeping and/or feeding in infancy and long-term behavioural outcomes in childhood: a meta-analysis. Arch Dis Child. 2011;96(7):622–9.
    1. Lemcke S, Parner ET, Bjerrum M, Thomsen PH, Lauritsen MB. Early regulation in children who are later diagnosed with autism sprectrum disorder. A longitudinal study within the Danish National Birth Cohort. Infant Ment Health J. 2018;39(2):170–82.
    1. Winsper C, Wolke D. Infant and toddler crying, sleeping and feeding problems and trajectories of dysregulated behavior across childhood. J Abnorm Child Psychol. 2014;42(5):831–43.
    1. Breeman LD, Jaekel J, Baumann N, Bartmann P, Bäuml JG, Avram M, et al. Infant regulatory problems, parenting quality and childhood attention problems. Early Hum Dev. 2018;124:11–6.
    1. Hyde R, O’Callaghan MJ, Bor W, Williams GM, Najman JM. Long-term outcomes of infant behavioral dysregulation. Pediatrics. 2012;130(5):e1243-51.
    1. Cook F, Giallo R, Hiscock H, et al. Infant Regulation and Child Mental Health Concerns: A Longitudinal Study. Pediatrics. 2019;143(3):e20180977.
    1. Skovgaard AM. Mental health problems and psychopathology in infancy and early childhood. An epidemiological study. Dan Med Bull. 2010;57(10):B4193.
    1. Groh AM, Fearon RMP, Ijzendoorn MH, Bakermans-Kranenburg MJ, Roisman GI. Attachment in the early life course: Meta‐analytic evidence for its role in socioemotional development. Child Dev Perspect. 2017;11(1):70–6.
    1. Loman MM, Gunnar MR. Early experience and the development of stress reactivity and regulation in children. Neurosci Biobehav Rev. 2010;34(6):867–76.
    1. Bøe T, Sivertsen B, Heiervang E, Goodman R, Lundervold AJ, Hysing M. Socioeconomic status and child mental health: the role of parental emotional well-being and parenting practices. J Abnorm Child Psychol. 2014;42(5):705–15.
    1. Laucht M, Esser G, Baving L, Gerhold M, Hoesch I, Ihle W, et al. Behavioral sequelae of perinatal insults and early family adversity at 8 years of age. J Am Acad Child Adolesc Psychiatry. 2000;39(10):1229–37.
    1. Lucassen N, Kok R, Bakermans-Kranenburg MJ, Van Ijzendoorn MH, Jaddoe VW, Hofman A, et al. Executive functions in early childhood: the role of maternal and paternal parenting practices. Br J Dev Psychol. 2015;33(4):489–505.
    1. Poustka L, Zohsel K, Blomeyer D, Jennen-Steinmetz C, Schmid B, Trautmann-Villalba P, et al. Interacting effects of maternal responsiveness, infant regulatory problems and dopamine D4 receptor gene in the development of dysregulation during childhood: A longitudinal analysis. J Psychiatr Res. 2015;70:83–90.
    1. Ryan R, O’Farrelly C, Ramchandani P. Parenting and child mental health. London J Prim Care (Abingdon) 2017;9(6):86–94.
    1. Cortese S, Moreira-Maia CR, St Fleur D, Morcillo-Peñalver C, Rohde LA, Faraone SV. Association Between ADHD and Obesity: A Systematic Review and Meta-Analysis. Am J Psychiatry. 2016;173(1):34–43.
    1. Erhart M, Herpertz-Dahlmann B, Wille N, Sawitzky-Rose B, Hölling H, Ravens-Sieberer U. Examining the relationship between attention-deficit/hyperactivity disorder and overweight in children and adolescents. Eur Child Adolesc Psychiatry. 2012;21(1):39–49.
    1. Glaus J, Cui L, Hommer R, Merikangas KR. Association between mood disorders and BMI/overweight using a family study approach. J Affect Disord. 2019;248:131–38.
    1. Korczak DJ, Lipman E, Morrison K, Duku E, Szatmari P. Child and adolescent psychopathology predicts increased adult body mass index: results from a prospective community sample. J Dev Behav Pediatr. 2014;35(2):108–17.
    1. Korczak DJ, Lipman E, Morrison K, Szatmari P. Are children and adolescents with psychiatric illness at risk for increased future body weight? A systematic review. Dev Med Child Neurol. 2013;55(11):980–7.
    1. Luppino FS, de Wit LM, Bouvy PF, Stijnen T, Cuijpers P, Penninx BW, et al. Overweight, obesity, and depression: a systematic review and meta-analysis of longitudinal studies. Arch Gen Psychiatry. 2010;67(3):220–9.
    1. Nigg JT, Johnstone JM, Musser ED, Long HG, Willoughby MT, Shannon J. Attention-deficit/hyperactivity disorder (ADHD) and being overweight/obesity: New data and meta-analysis. Clin Psychol Rev. 2016;43:67–79.
    1. Roberts RE, Duong HT. Obese youths are not more likely to become depressed, but depressed youths are more likely to become obese. Psychol Med. 2013;43(10):2143–51.
    1. Lobstein T, Baur L, Uauy R. Obesity in children and young people: a crisis in public health. Obes Rev. 2004;5(Suppl 1):4–104.
    1. Baird J, Fisher D, Lucas P, Kleijnen J, Roberts H, Law C. Being big or growing fast: systematic review of size and growth in infancy and later obesity. BMJ. 2005;331(7522):929.
    1. Druet C, Stettler N, Sharp S, Simmons RK, Cooper C, Smith GD, et al. Prediction of childhood obesity by infancy weight gain: an individual-level meta-analysis. Paediatr Perinat Epidemiol. 2012;26(1):19–26.
    1. Ester WA, Jansen PW, Hoek HW, Verhulst FC, Jaddoe VW, Marques AH, et al. Fetal size and eating behaviour in childhood: a prospective cohort study. Int J Epidemiol. 2019;48(1):124–33.
    1. Monteiro PO, Victora CG. Rapid growth in infancy and childhood and obesity in later life--a systematic review. Obes Rev. 2005;6(2):143–54.
    1. Péneau S, Rouchaud A, Rolland-Cachera MF, Arnault N, Hercberg S, Castetbon K. Body size and growth from birth to 2 years and risk of overweight at 7-9 years. Int J Pediatr Obes. 2011;6(2-2):e162-9.
    1. World Health Organization. Noncommunicable diseases: Childhood overweight and obesity [updated 19 October 2020. Available from: .
    1. Aris IM, Bernard JY, Chen LW, Tint MT, Pang WW, Soh SE, et al. Modifiable risk factors in the first 1000 days for subsequent risk of childhood overweight in an Asian cohort: significance of parental overweight status. Int J Obes (Lond) 2018;42(1):44–51.
    1. Morgen CS, Andersen PK, Mortensen LH, Howe LD, Rasmussen M, Due P, et al. Socioeconomic disparities in birth weight and body mass index during infancy through age 7 years: a study within the Danish National Birth Cohort. BMJ Open. 2017;7(1):e011781.
    1. Brixval CS, Johansen A, Rasmussen M, Due P. Overvægt blandt børn i Region Hovedstaden i perioden 2002-2014 [Overweight among children in the Capital Region of Denmark in the period 2002-2014]. National Institute of Public Health, University of Southern Denmark; 2017.
    1. Thompson AL. Intergenerational impact of maternal obesity and postnatal feeding practices on pediatric obesity. Nutr Rev. 2013;71(0 1):55–61.
    1. DiSantis KI, Hodges EA, Johnson SL, Fisher JO. The role of responsive feeding in overweight during infancy and toddlerhood: a systematic review. Int J Obes (Lond) 2011;35(4):480–92.
    1. Hurley KM, Cross MB, Hughes SO. A systematic review of responsive feeding and child obesity in high-income countries. J Nutr. 2011;141(3):495–501.
    1. Shloim N, Edelson LR, Martin N, Hetherington MM. Parenting Styles, Feeding Styles, Feeding Practices, and Weight Status in 4-12 Year-Old Children: A Systematic Review of the Literature. Front Psychol. 2015;6:1849.
    1. Bergmeier H, Skouteris H, Horwood S, Hooley M, Richardson B. Associations between child temperament, maternal feeding practices and child body mass index during the preschool years: a systematic review of the literature. Obes Rev. 2014;15(1):9–18.
    1. Hughes SO, Power TG, O’Connor TM, Orlet Fisher J. Executive functioning, emotion regulation, eating self-regulation, and weight status in low-income preschool children: how do they relate? Appetite. 2015;89:1–9.
    1. Micali N, Rask CU, Olsen EM, Skovgaard AM. Early Predictors of Childhood Restrictive Eating: A Population-Based Study. J Dev Behav Pediatr. 2016;37(4):314–21.
    1. Anderson SE, Keim SA, Parent-Child, Interaction Self-Regulation, and Obesity Prevention in Early Childhood. Curr Obes Rep. 2016;5(2):192–200.
    1. Aparicio E, Canals J, Arija V, De Henauw S, Michels N. The role of emotion regulation in childhood obesity: implications for prevention and treatment. Nutr Res Rev. 2016;29(1):17–29.
    1. Power TG, Olivera YA, Hill RA, Beck AD, Hopwood V, Garcia KS, et al. Emotion regulation strategies and childhood obesity in high risk preschoolers. Appetite. 2016;107:623–7.
    1. Graziano PA, Calkins SD, Keane SP. Toddler self-regulation skills predict risk for pediatric obesity. Int J Obes (Lond) 2010;34(4):633–41.
    1. Graziano PA, Kelleher R, Calkins SD, Keane SP, Brien MO. Predicting weight outcomes in preadolescence: the role of toddlers’ self-regulation skills and the temperament dimension of pleasure. Int J Obes (Lond) 2013;37(7):937–42.
    1. Conti G, Heckman JJ. The developmental approach to child and adult health. Pediatrics. 2013;131(Suppl 2):133-41.
    1. Blake-Lamb TL, Locks LM, Perkins ME, Woo Baidal JA, Cheng ER, Taveras EM. Interventions for Childhood Obesity in the First 1,000 Days A Systematic Review. Am J Prev Med. 2016;50(6):780–9.
    1. Arango C, Díaz-Caneja CM, McGorry PD, Rapoport J, Sommer IE, Vorstman JA, et al. Preventive strategies for mental health. Lancet Psychiatry. 2018;5(7):591–604.
    1. Reilly JJ, Martin A, Hughes AR. Early-Life Obesity Prevention: Critique of Intervention Trials During the First One Thousand Days. Curr Obes Rep. 2017;6(2):127–33.
    1. Vitaro F, Tremblay R, et al. Clarifying and Maximizing the Usefulness of Targeted Preventive Interventions. In: Rutter M, Bishop D, Pine D, Scott S, Stevenson J, Taylor E, et al., editors. Rutter’s Child and Adolescent Psychiatry. 5. Oxford: Blackwell Publishing; 2008. pp. 989–1008.
    1. Woo Baidal JA, Locks LM, Cheng ER, Blake-Lamb TL, Perkins ME, Taveras EM. Risk Factors for Childhood Obesity in the First 1,000 Days: A Systematic Review. Am J Prev Med. 2016;50(6):761–79.
    1. Morgen CS, Ängquist L, Baker JL, Andersen AMN, Michaelsen KF, Sørensen TIA. Prenatal risk factors influencing childhood BMI and overweight independent of birth weight and infancy BMI: a path analysis within the Danish National Birth Cohort. Int J Obes (Lond) 2018;42(4):594–602.
    1. Danish Health Authority. Vejledning om forebyggende sundhedsydelser til børn og unge [National guideline: Child and adolescent preventive health care program]. Copenhagen; 2011.
    1. Danish Health Authority. Forebyggelsespakke - Overvægt [Health promotion package - Overweight]. 2013.
    1. Pant S, Johansen A, Holstein B. Sundhedsplejerskens indsatser for 0-årige børn. Temarapport og årsrapport. Børn født i 2013. [The health nurse’s efforts for 0-year-old children. Theme report and annual report. Children born in 2013]. Copenhagen; 2015.
    1. Skovgaard AM, Wilms L, Johansen A, Ammitzbøll J, Holstein BE, Olsen EM. Standardiseret monitorering af spæd -og småbørns helbred i de kommunale sundhedsordninger [Standardised measuring the health of infants and toddlers in community health services] Ugeskr Laeger. 2018;180:34.
    1. Skovgaard AM, Houmann T, Christiansen E, Olsen EM, Landorph SL, Lichtenberg A, et al. Can a general health surveillance between birth and 10 months identify children with mental disorder at 1(1/2) year? A case-control study nested in cohort CCC 2000. Eur Child Adolesc Psychiatry. 2008;17(5):290–8.
    1. Ammitzbøll J, Holstein BE, Wilms L, Andersen A, Skovgaard AM. A new measure for infant mental health screening: development and initial validation. BMC Pediatr. 2016;16(1):197.
    1. Ammitzbøll J, Thygesen LC, Holstein BE, Andersen A, Skovgaard AM. Predictive validity of a service-setting-based measure to identify infancy mental health problems: a population-based cohort study. Eur Child Adolesc Psychiatry. 2018;27(6):711–23.
    1. Ammitzbøll J, Skovgaard AM, Holstein BE, Andersen A, Kreiner S, Nielsen T. Construct validity of a service-setting based measure to identify mental health problems in infancy. PLoS One. 2019;14(3):e0214112.
    1. Skovgaard AM, Ammitzbøll J. PUF-programmet giver sundhedsplejerskerne et forbedret grundlag til at opspore og intervenere overfor mental sårbarhed hos små børn [The PUF program provides health nurses with an improved basis for detecting and intervening against mental vulnerability in young children] Sundhedsplejersken. 2019;04:10–2.
    1. Howe LD, Tilling K, Galobardes B, Smith GD, Ness AR, Lawlor DA. Socioeconomic disparities in trajectories of adiposity across childhood. Int J Pediatr Obes. 2011;6(2-2):e144-53.
    1. Jansen PW, Mensah FK, Nicholson JM, Wake M. Family and neighbourhood socioeconomic inequalities in childhood trajectories of BMI and overweight: longitudinal study of Australian children. PLoS One. 2013;8(7):e69676.
    1. Knai C, Lobstein T, Darmon N, Rutter H, McKee M. Socioeconomic patterning of childhood overweight status in Europe. Int J Environ Res Public Health. 2012;9(4):1472–89.
    1. Beckwith L. Prevention Science and Prevention Programs. In: Zeanah C, editor. Handbook of Infant Mental Health. 2. New York: The Guilford Press; 2000. pp. 439–56.
    1. Groach C, McCall R, et al. Community Based Interventions and Services. In: Rutter M, Bishop D, Pine D, Scott S, Stevenson J, Taylor E, et al., editors. Rutter’s Child and Adolescent Psychiatry. 5. Oxford: Blackwell Publishing; 2008. pp. 971–88.
    1. Lundahl B, Risser HJ, Lovejoy MC. A meta-analysis of parent training: moderators and follow-up effects. Clin Psychol Rev. 2006;26(1):86–104.
    1. Asmussen K, Feinstein L, Martin J, Chowdry H. Foundations for life: what works to support parent child interaction in the early years. London: Early Intervention Foundation; 2016.
    1. Bayer J, Hiscock H, Scalzo K, Mathers M, McDonald M, Morris A, et al. Systematic review of preventive interventions for children’s mental health: what would work in Australian contexts? Aust N Z J Psychiatry. 2009;43(8):695–710.
    1. Barlow J, Bergman H, Kornør H, Wei Y, Bennett C. Group-based parent training programmes for improving emotional and behavioural adjustment in young children. Cochrane Database Syst Rev. 2016;2016(8):Cd003680.
    1. Olds D, Henderson CR, Jr, Cole R, Eckenrode J, Kitzman H, Luckey D, et al. Long-term effects of nurse home visitation on children’s criminal and antisocial behavior: 15-year follow-up of a randomized controlled trial. JAMA. 1998;280(14):1238–44.
    1. Kristensen IH, Simonsen M, Trillingsgaard T, Kronborg H. Video feedback promotes relations between infants and vulnerable first-time mothers: a quasi-experimental study. BMC Pregnancy Childbirth. 2017;17(1):379.
    1. Hägi-Pedersen MB, Kronborg H, Norlyk A. Video consultation as nursing practice during early in-home care for premature infants and families viewed from the families’ homes’. Nurs Open. 2021;8(2):824–32.
    1. Askie L, Martin A, Espinoza D, Campbell K, Daniels L, Hesketh K, et al. What does the EPOCH (early prevention of obesity in childhood) prospective meta-analysis tell us about early life obesity prevention? 8: Obesity Research & Clinical Practice; 2014.
    1. Redsell SA, Edmonds B, Swift JA, Siriwardena AN, Weng S, Nathan D, et al. Systematic review of randomised controlled trials of interventions that aim to reduce the risk, either directly or indirectly, of overweight and obesity in infancy and early childhood. Matern Child Nutr. 2016;12(1):24–38.
    1. Wen LM, Baur LA, Rissel C, Wardle K, Alperstein G, Simpson JM. Early intervention of multiple home visits to prevent childhood obesity in a disadvantaged population: a home-based randomised controlled trial (Healthy Beginnings Trial) BMC Public Health. 2007;7:76.
    1. Yavuz HM, van Ijzendoorn MH, Mesman J, van der Veek S. Interventions aimed at reducing obesity in early childhood: a meta-analysis of programs that involve parents. J Child Psychol Psychiatry. 2015;56(6):677–92.
    1. van Bakermans-Kranenburg MJ. The hidden efficacy of interventions: gene×environment experiments from a differential susceptibility perspective. Annu Rev Psychol. 2015;66:381–409.
    1. Juffer F, van Bakermans-Kranenburg MJ. Pairing attachment theory and social learning theory in video-feedback intervention to promote positive parenting. Curr Opin Psychol. 2017;15:189–94.
    1. Juffer FE, Bakermans-Kranenburg MJ, Van Ijzendoorn MH. Promoting positive parenting: An attachment-based intervention. Taylor & Francis Group/Lawrence Erlbaum Associates; 2008.
    1. Juffer F, Bakermans-Kranenburg M, Van Ijzendoorn M. Manual. VIPP-SD: Centre for Child and Family Studies, Leiden University; 2015.
    1. Juffer F, Bakermans-Kranenburg M, Van Ijzendoorn M. Video-Feedback Intervention to Promote Positive Parenting and Sensitive Discipline - Development and Meta-Analytic Evidence for Its Effectiveness. In: Steele H, Steele M, editors. Handbook of Attachment-Based Interventions. New York: The Guilford Press; 2018.
    1. Klein Velderman M, Bakermans-Kranenburg MJ, van Juffer F. Effects of attachment-based interventions on maternal sensitivity and infant attachment: differential susceptibility of highly reactive infants. J Fam Psychol. 2006;20(2):266–74.
    1. Van Zeijl J, Mesman J, Van IMH, Bakermans-Kranenburg MJ, Juffer F, Stolk MN, et al. Attachment-based intervention for enhancing sensitive discipline in mothers of 1- to 3-year-old children at risk for externalizing behavior problems: a randomized controlled trial. J Consult Clin Psychol. 2006;74(6):994–1005.
    1. Stein A, Woolley H, Senior R, Hertzmann L, Lovel M, Lee J, et al. Treating disturbances in the relationship between mothers with bulimic eating disorders and their infants: a randomized, controlled trial of video feedback. Am J Psychiatry. 2006;163(5):899–906.
    1. Yagmur S, Mesman J, Malda M, Bakermans-Kranenburg MJ, Ekmekci H. Video-feedback intervention increases sensitive parenting in ethnic minority mothers: a randomized control trial. Attach Hum Dev. 2014;16(4):371–86.
    1. Juffer F, Bakermans-Kranenburg MJ. Working with Video-feedback Intervention to promote Positive Parenting and Sensitive Discipline (VIPP-SD): A case study. J Clin Psychol. 2018;74(8):1346–57.
    1. Bakermans-Kranenburg MJ, van Juffer IMH. Less is more: meta-analyses of sensitivity and attachment interventions in early childhood. Psychol Bull. 2003;129(2):195–215.
    1. O’Farrelly C, Watt H, Babalis D, Bakermans-Kranenburg MJ, Barker B, Byford S, et al. A Brief Home-Based Parenting Intervention to Reduce Behavior Problems in Young Children: A Pragmatic Randomized Clinical Trial. JAMA Pediatr. 2021;175(6):567–76.
    1. Statistics Denmark - . [Available from: .
    1. Pant SW, Pedersen TP. Sundhedsprofil for børn født i 2017 fra Databasen Børns Sundhed [Health profile for children born in 2017 from the Child Health Database]. Copenhagen; 2019.
    1. Hussey MA, Hughes JP. Design and analysis of stepped wedge cluster randomized trials. Contemp Clin Trials. 2007;28(2):182–91.
    1. Woertman W, de Hoop E, Moerbeek M, Zuidema SU, Gerritsen DL, Teerenstra S. Stepped wedge designs could reduce the required sample size in cluster randomized trials. J Clin Epidemiol. 2013;66(7):752–8.
    1. Hemming K, Lilford R, Girling AJ. Stepped-wedge cluster randomised controlled trials: a generic framework including parallel and multiple-level designs. Statistics in medicine. 2015;34(2):181–96.
    1. Handley MA, Schillinger D, Shiboski S. Quasi-experimental designs in practice-based research settings: design and implementation considerations. J Am Board Fam Med. 2011;24(5):589–96.
    1. National Institute of Public Health. Infant Health 2021 [updated 21.09.2021. Available from: .
    1. Squires J, Bricker D, Twombly E. ASQ:SE-2 user’s guide: Ages & Stages Questionnaires social-emotional: Paul H. Brookes Publishing Co.; 2015.
    1. Marks KP, Madsen Sjö N, Wilson P. Comparative use of the Ages and Stages Questionnaires in the USA and Scandinavia: a systematic review. Dev Med Child Neurol. 2019;61(4):419–30.
    1. Achenbach T, Rescorla L. Manual for the ASEBA Preschool forms & profiles. Burlington: University of Vermont, Research Center for Children, Youth & Families; 2000.
    1. Achenbach TM, Becker A, Döpfner M, Heiervang E, Roessner V, Steinhausen HC, et al. Multicultural assessment of child and adolescent psychopathology with ASEBA and SDQ instruments: research findings, applications, and future directions. J Child Psychol Psychiatry. 2008;49(3):251–75.
    1. Goodman R, Ford T, Simmons H, Gatward R, Meltzer H. Using the Strengths and Difficulties Questionnaire (SDQ) to screen for child psychiatric disorders in a community sample. Br J Psychiatry. 2000;177:534–9.
    1. Croft S, Stride C, Maughan B, Rowe R. Validity of the strengths and difficulties questionnaire in preschool-aged children. Pediatrics. 2015;135(5):e1210-9.
    1. D’Souza S, Waldie KE, Peterson ER, Underwood L, Morton SM. Psychometric Properties and Normative Data for the Preschool Strengths and Difficulties Questionnaire in Two-Year-Old Children. J Abnorm Child Psychol. 2017;45(2):345–57.
    1. Goodman A, Goodman R. Strengths and difficulties questionnaire as a dimensional measure of child mental health. J Am Acad Child Adolesc Psychiatry. 2009;48(4):400–3.
    1. Niclasen J, Teasdale TW, Andersen AM, Skovgaard AM, Elberling H, Obel C. Psychometric properties of the Danish Strength and Difficulties Questionnaire: the SDQ assessed for more than 70,000 raters in four different cohorts. PLoS One. 2012;7(2):e32025.
    1. WHO Multicentre Growth Reference Study Group WHO Child Growth Standards based on length/height, weight and age. Acta Paediatr Suppl. 2006;450:76–85.
    1. Høivik MS, Burkeland NA, Linaker OM, Berg-Nielsen TS. The Mother and Baby Interaction Scale: a valid broadband instrument for efficient screening of postpartum interaction? A preliminary validation in a Norwegian community sample. Scand J Caring Sci. 2013;27(3):733–9.
    1. Matthey S. Assessing the experience of motherhood: the Being a Mother Scale (BaM-13) J Affect Disord. 2011;128(1-2):142–52.
    1. Berry JO, Jones WH. The parental stress scale: Initial psychometric evidence. Journal of social personal relationships. 1995;12(3):463–72.
    1. Pontoppidan M, Nielsen T, Kristensen IH. Psychometric properties of the Danish Parental Stress Scale: Rasch analysis in a sample of mothers with infants. PLoS One. 2018;13(11):e0205662.
    1. Nielsen T, Pontoppidan M, Rayce SB. The Parental Stress Scale revisited: Rasch-based construct validity for Danish parents of children 2-18 years old with and without behavioral problems. Health Qual Life Outcomes. 2020;18(1):281.
    1. Bech P. Measuring the Dimension of Psychological General Well-Being by the Who-5. Quality of Life Newsletter. 2004;32:16.
    1. Topp CW, Østergaard SD, Søndergaard S, Bech P. The WHO-5 Well-Being Index: a systematic review of the literature. Psychother Psychosom. 2015;84(3):167–76.
    1. Thygesen LC, Ersbøll AK. When the entire population is the sample: strengths and limitations in register-based epidemiology. Eur J Epidemiol. 2014;29(8):551–8.
    1. Statistics Denmark. IDA - an Integrated Database for labour market research. Main report. Copenhagen; 1991.
    1. OPEN. Open Patient data Explorative Network, Odense University Hospital, Region of Southern Denmark. 2021 [updated 22.11.2021. Available from: .
    1. Bartholomew L, Parcel G, Kok G, Gottlieb N, Fernández M. Planning Health Promotion Programs: An intervention mapping approach. 3. San Francisco: Jossey-Bass; 2011.
    1. Durlak JA, DuPre EP. Implementation matters: a review of research on the influence of implementation on program outcomes and the factors affecting implementation. Am J Community Psychol. 2008;41(3-4):327–50.
    1. Linnan L, Steckler A. Process evaluation for public health interventions and research: an overview. In: Linnan L, Steckler A, editors. Process Evaluation for Public Health Interventions and Research. San Francisco: Jossey-Bass; 2002. pp. 1–29.
    1. Linnan LA. Research collaboration with 2-1-1 to eliminate health disparities: an introduction. Am J Prev Med. 2012;43(6 Suppl 5):415-9.
    1. Dane AV, Schneider BH. Program integrity in primary and early secondary prevention: are implementation effects out of control? Clin Psychol Rev. 1998;18(1):23–45.
    1. Finseth L, Ammitzbøll J, Skovgaard A, Bakermans-Kranenburg M, Roelands A, Struis E, et al. Manual VIPP-PUF – Vedeo-feedback Intervention to promote Positive Parenting, VIPP, adjusted the PUF-Program in Denmark. National Institute of Public Health, University of Southern Denmark; 2021.
    1. Wilkinson S. Focus groups in health research: exploring the meanings of health and illness. J Health Psychol. 1998;3(3):329–48.
    1. Kvale S. Interviews: An Introduction to Qualitative Research Interview. London: Sage Publication; 1996.
    1. Brinkmann S, Kvale S, InterViews . Learning the Craft of Qualitative Research Interviewing. 3. Thousand Oaks: SAGE Publications; 2015.
    1. Braun V, Clarke V. Using thematic analysis in psychology. Qualitative Research in Psychology. 2006;3(2):77–101.
    1. Merriam SB, Tisdell EJ. Qualitative research: A guide to design and implementation. 4. San Francisco: Jossey-Bass; 2015.
    1. Cornish F, Gillespie A, Zittoun T. Collaborative Data Analysis. In: Flick U, editor. The Sage Handbook of Qualitative Data Analysis. London: SAGE publications; 2013.
    1. Retsinformation. Bekendtgørelse af sundhedsloven 2019 [Available from: .

Source: PubMed

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