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Pare SM, Gunn E, Morrison KM, Miller AL, Duncan AM, Buchholz AC, Ma DWL, Tremblay PF, Vallis LA, Mercer NJ, Haines J. Testing a Biobehavioral Model of Chronic Stress and Weight Gain in Young Children (Family Stress Study): Protocol and Baseline Demographics for a Prospective Observational Study. JMIR Res Protoc 2024; 13:e48549. [PMID: 38900565 PMCID: PMC11224706 DOI: 10.2196/48549] [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: 04/27/2023] [Revised: 11/15/2023] [Accepted: 04/11/2024] [Indexed: 06/21/2024] Open
Abstract
BACKGROUND Chronic stress is an important risk factor in the development of obesity. While research suggests chronic stress is linked to excess weight gain in children, the biological or behavioral mechanisms are poorly understood. OBJECTIVE The objectives of the Family Stress Study are to examine behavioral and biological pathways through which chronic stress exposure (including stress from COVID-19) may be associated with adiposity in young children, and to determine if factors such as child sex, caregiver-child relationship quality, caregiver education, and caregiver self-regulation moderate the association between chronic stress and child adiposity. METHODS The Family Stress Study is a prospective cohort study of families recruited from 2 Canadian sites: the University of Guelph in Guelph, Ontario, and McMaster University in Hamilton, Ontario. Participants will be observed for 2 years and were eligible to participate if they had at least one child (aged 2-6 years) and no plans to move from the area within the next 3 years. Study questionnaires and measures were completed remotely at baseline and will be assessed using the same methods at 1- and 2-year follow-ups. At each time point, caregivers measure and report their child's height, weight, and waist circumference, collect a hair sample for cortisol analysis, and fit their child with an activity monitor to assess the child's physical activity and sleep. Caregivers also complete a web-based health and behaviors survey with questions about family demographics, family stress, their own weight-related behaviors, and their child's mental health, as well as a 1-day dietary assessment for their child. RESULTS Enrollment for this study was completed in December 2021. The final second-year follow-up was completed in April 2024. This study's sample includes 359 families (359 children, 359 female caregivers, and 179 male caregivers). The children's mean (SD) age is 3.9 years (1.2 years) and 51% (n=182) are female. Approximately 74% (n=263) of children and 80% (n=431) of caregivers identify as White. Approximately 34% (n=184) of caregivers have a college diploma or less and nearly 93% (n=499) are married or cohabiting with a partner. Nearly half (n=172, 47%) of the families have an annual household income ≥CAD $100,000 (an average exchange rate of 1 CAD=0.737626 USD applies). Data cleaning and analysis are ongoing as of manuscript publication. CONCLUSIONS Despite public health restrictions from COVID-19, the Family Stress Study was successful in recruiting and using remote data collection to successfully engage families in this study. The results from this study will help identify the direction and relative contributions of the biological and behavioral pathways linking chronic stress and adiposity. These findings will aid in the development of effective interventions designed to modify these pathways and reduce obesity risk in children. TRIAL REGISTRATION ClinicalTrials.gov NCT05534711; https://clinicaltrials.gov/study/NCT05534711. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) DERR1-10.2196/48549.
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Affiliation(s)
- Shannon M Pare
- Department of Family Relations and Applied Nutrition, University of Guelph, Guelph, ON, Canada
| | - Elizabeth Gunn
- Centre for Metabolism, Obesity & Diabetes Research, Department of Pediatrics, McMaster University, Hamilton, ON, Canada
| | - Katherine M Morrison
- Centre for Metabolism, Obesity & Diabetes Research, Department of Pediatrics, McMaster University, Hamilton, ON, Canada
| | - Alison L Miller
- Department of Health Behaviour and Health Education, University of Michigan School of Public Health, Ann Arbor, MI, United States
| | - Alison M Duncan
- Department of Human Health and Nutritional Sciences, University of Guelph, Guelph, ON, Canada
| | - Andrea C Buchholz
- Department of Family Relations and Applied Nutrition, University of Guelph, Guelph, ON, Canada
| | - David W L Ma
- Department of Human Health and Nutritional Sciences, University of Guelph, Guelph, ON, Canada
| | - Paul F Tremblay
- Department of Psychology, University of Western Ontario, London, ON, Canada
| | - Lori Ann Vallis
- Department of Human Health and Nutritional Sciences, University of Guelph, Guelph, ON, Canada
| | - Nicola J Mercer
- Wellington-Dufferin-Guelph Public Health, Guelph, ON, Canada
| | - Jess Haines
- Department of Family Relations and Applied Nutrition, University of Guelph, Guelph, ON, Canada
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Boscaro A, Verney J, Tremblay A, King JA, Pereira B, Costes F, Julian V, Duclos M, Boirie Y, Thivel D, Bailly M. Challenges of considering both extremities of the weight status spectrum to better understand obesity: insights from the NUTRILEAN project in constitutionally thin individuals. Int J Obes (Lond) 2023; 47:1171-1177. [PMID: 37553452 DOI: 10.1038/s41366-023-01360-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Revised: 07/03/2023] [Accepted: 07/27/2023] [Indexed: 08/10/2023]
Abstract
BACKGROUND/OBJECTIVES While the physiology of obesity has been so extensively investigated to date, only an extremely small number of studies (less than 50) have focused on the other extremity of the weight spectrum: constitutional thinness. Yet, this important state of underweight in the absence of any eating disorders provides a mirror model of obesity that might be particularly insightful in understanding obesity. Nevertheless, important methodological and recruitment-related issues appear when it comes to this complex constitutionally thin phenotype, as experienced by our research group with the realization of the ongoing NUTRILEAN clinical trial. To face this challenge, the present paper aims at identifying, analyzing, and discussing the quality of such recruitment processes in publications about constitutional thinness. METHODS In this order, a group of experts collectively created a new grading system to assess the level of rigour and quality achieved by each study based on different criteria. RESULTS The main results were that (i) metabolic-related biasing criteria were poorly observed despite being crucial, (ii) recruitment processes were not detailed enough and with sufficient explicitness, and (iii) recruiting among already identified patients would be associated with both higher sample sizes and better scores of quality. CONCLUSIONS The present work encourages investigators to adopt a high level of rigour despite the complexity and duration of recruitment processes for this specific population, and readers to pay close attention to the quality of recruitment when interpreting the data. To better understand obesity and its physiological adaptations, it seems essential not only to compare it to normal-weight conditions, but also to the other extremity of the weight status spectrum represented by constitutional thinness.
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Affiliation(s)
- Audrey Boscaro
- Laboratory of the Metabolic Adaptations to Exercise under Physiological and Pathological Conditions (AME2P), UPR 3533, CRNH Auvergne, University of Clermont Auvergne, Clermont-Ferrand, France.
| | - Julien Verney
- Laboratory of the Metabolic Adaptations to Exercise under Physiological and Pathological Conditions (AME2P), UPR 3533, CRNH Auvergne, University of Clermont Auvergne, Clermont-Ferrand, France
| | - Angelo Tremblay
- Department of Kinesiology, Faculty of Medicine, Laval University, Quebec, QC, Canada
| | - James A King
- National Centre for Sport and Exercise Medicine, School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK
- NIHR Leicester Biomedical Research Centre, University Hospitals of Leicester NHS Trust and the University of Leicester, Leicester, UK
| | - Bruno Pereira
- Biostatistics Unit, Délégation à la Recherche Clinique et à l'Innovation (DRCI), Clermont-Ferrand, France
| | - Frédéric Costes
- Department of Sport Medicine and Functional Explorations, University Teaching Hospital of Clermont-Ferrand, Diet and Musculoskeletal Health Team, CRNH, INRA, University of Clermont Auvergne, Clermont-Ferrand, France
| | - Valérie Julian
- Department of Sport Medicine and Functional Explorations, University Teaching Hospital of Clermont-Ferrand, Diet and Musculoskeletal Health Team, CRNH, INRA, University of Clermont Auvergne, Clermont-Ferrand, France
| | - Martine Duclos
- Department of Sport Medicine and Functional Explorations, University Teaching Hospital of Clermont-Ferrand, Diet and Musculoskeletal Health Team, CRNH, INRA, University of Clermont Auvergne, Clermont-Ferrand, France
| | - Yves Boirie
- Department of Clinical Nutrition, University Teaching Hospital of Clermont-Ferrand, Diet and Musculoskeletal Health Team, CRNH, INRA, University of Clermont Auvergne, Clermont-Ferrand, France
| | - David Thivel
- Laboratory of the Metabolic Adaptations to Exercise under Physiological and Pathological Conditions (AME2P), UPR 3533, CRNH Auvergne, University of Clermont Auvergne, Clermont-Ferrand, France
| | - Mélina Bailly
- Laboratory of the Metabolic Adaptations to Exercise under Physiological and Pathological Conditions (AME2P), UPR 3533, CRNH Auvergne, University of Clermont Auvergne, Clermont-Ferrand, France
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Yaremych HE, Persky S. Recruiting Fathers for Parenting Research: An Evaluation of Eight Recruitment Methods and an Exploration of Fathers' Motivations for Participation. PARENTING, SCIENCE AND PRACTICE 2022; 23:1-32. [PMID: 37346458 PMCID: PMC10281717 DOI: 10.1080/15295192.2022.2036940] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/23/2023]
Abstract
Objective We evaluated eight recruitment methods (Craigslist, Facebook ads, Google AdWords, in-person, newspaper, parenting magazines, ResearchMatch, and direct mailing) in terms of their ability to accrue fathers of 3- to 7-year-old children into a laboratory-based behavioral trial for parents. The trial was related to child obesity risk and parental health behaviors. Design Each recruitment method was implemented such that half its occurrences advertised for fathers only, and half advertised for mothers and fathers. Methods were evaluated in terms of number of fathers recruited, cost- and time-efficiency, response rates, and demographic characteristics of individuals recruited. We also assessed fathers' and mothers' motivations for participating in the study. 101 fathers and 260 mothers were recruited. Results Father-targeted ads were essential for father recruitment; 79% of accruals from father-targeted ads were male, whereas only 14% of accruals from parent-targeted ads were male. Craigslist, ResearchMatch, and Facebook ads were the most cost-efficient for accruing fathers. A greater proportion of fathers was motivated by increasing fathers' representation in research (16%) compared to mothers who wished to increase mothers' representation in research (5.4%). Similar proportions of fathers and mothers were motivated by improving their parenting knowledge and improving their child's health. Conclusions Future researchers should employ father-targeted recruitment materials (rather than parent-targeted) that capitalize on fathers' unique motivations for participating in research.
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Affiliation(s)
- Haley E Yaremych
- Department of Psychology & Human Development, Vanderbilt University, PMB 552, 230 Appleton Place, Nashville, TN 37203-5721
| | - Susan Persky
- National Human Genome Research Institute, National Institutes of Health, Bldg 31 Rm B1B36, 31 Center Drive, Bethesda, MD 20892
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Schlensog-Schuster F, Klein AM, Biringen Z, von Klitzing K, Bergmann S. Maternal sensitivity and intrusiveness in early childhood as predictors of children's weight at school age. Pediatr Obes 2022; 17:e12842. [PMID: 34553841 DOI: 10.1111/ijpo.12842] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Revised: 07/12/2021] [Accepted: 07/26/2021] [Indexed: 11/30/2022]
Abstract
BACKGROUND While previous research indicates that low maternal sensitivity in mother-child interactions puts children at risk of overweight and obesity, maternal intrusiveness has rarely been investigated in association with children's weight. We investigated whether maternal sensitivity and intrusiveness in early childhood predict children's increased body mass index standard deviation scores (BMI-SDS) at school age. BMI-SDS are standardized for age and gender with respect to a reference standard. METHODS At baseline (t1), we assessed maternal sensitivity and (non-)intrusiveness of 116 mothers with their children (48.3% female) aged 5-47 months (M = 24.00, SD = 11.36) using the emotional availability scales. We obtained anthropometric data for mothers at t1 by measuring height and weight in the laboratory and for children at birth assessed by medical staff. Six years later (t2) we obtained anthropometric data for children in the laboratory or based on parental report. Linear regression analyses were run with child BMI-SDS at t2 as outcome and sensitivity and (non-)intrusiveness as predictors, adjusting for confounders and exploring child age and gender as moderators. RESULTS Maternal sensitivity only negatively predicted children's BMI-SDS in girls, while maternal intrusiveness predicted higher child BMI-SDS at school age regardless of child gender. The effect of maternal non-intrusiveness remained significant when controlling for confounders. CONCLUSION Maternal intrusiveness in early childhood seems to represent a risk factor for increased BMI-SDS in children, while lower maternal sensitivity tends to be a risk factor for increased BMI-SDS in girls. This may have implications for prevention or intervention programmes.
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Affiliation(s)
- Franziska Schlensog-Schuster
- Department of Child and Adolescent Psychiatry, Psychotherapy and Psychosomatics, University of Leipzig, Leipzig, Germany
| | | | - Zeynep Biringen
- Department of Human Development & Family Studies, Colorado State University, Fort Collins, Colorado, USA
| | - Kai von Klitzing
- Department of Child and Adolescent Psychiatry, Psychotherapy and Psychosomatics, University of Leipzig, Leipzig, Germany
| | - Sarah Bergmann
- Department of Child and Adolescent Psychiatry, Psychotherapy and Psychosomatics, University of Leipzig, Leipzig, Germany.,International Psychoanalytic University, Berlin, Germany
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Gallegos-Cabriales EC, Rodriguez-Ayala E, Laviada-Molina HA, Nava-Gonzalez EJ, Salinas-Osornio RA, Orozco L, Leal-Berumen I, Castillo-Pineda JC, Gonzalez-Lopez L, Escudero-Lourdes C, Cornejo-Barrera J, Escalante-Araiza F, Huerta-Avila EE, Buenfil-Rello FA, Peschard VG, Silva E, Veloz-Garza RA, Martinez-Hernandez A, Barajas-Olmos FM, Molina-Segui F, Gonzalez-Ramirez L, Arjona-Villicaña RD, Hernandez-Escalante VM, Gaytan-Saucedo JF, Vaquera Z, Acebo-Martinez M, Murillo-Ramirez A, Diaz-Tena SP, Figueroa-Nuñez B, Valencia-Rendon ME, Garzon-Zamora R, Viveros-Paredes JM, Valdovinos-Chavez SB, Comuzzie AG, Haack K, Thorsell AA, Han X, Cole SA, Bastarrachea RA. Replication of Integrative Data Analysis for Adipose Tissue Dysfunction, Low-Grade Inflammation, Postprandial Responses and OMICs Signatures in Symptom-Free Adults. BIOLOGY 2021; 10:1342. [PMID: 34943258 PMCID: PMC8698545 DOI: 10.3390/biology10121342] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Revised: 12/11/2021] [Accepted: 12/12/2021] [Indexed: 11/16/2022]
Abstract
We previously reported preliminary characterization of adipose tissue (AT) dysfunction through the adiponectin/leptin ratio (ALR) and fasting/postprandial (F/P) gene expression in subcutaneous (SQ) adipose tissue (AT) biopsies obtained from participants in the GEMM study, a precision medicine research project. Here we present integrative data replication of previous findings from an increased number of GEMM symptom-free (SF) adults (N = 124) to improve characterization of early biomarkers for cardiovascular (CV)/immunometabolic risk in SF adults with AT dysfunction. We achieved this goal by taking advantage of the rich set of GEMM F/P 5 h time course data and three tissue samples collected at the same time and frequency on each adult participant (F/P blood, biopsies of SQAT and skeletal muscle (SKM)). We classified them with the presence/absence of AT dysfunction: low (<1) or high (>1) ALR. We also examined the presence of metabolically healthy (MH)/unhealthy (MUH) individuals through low-grade chronic subclinical inflammation (high sensitivity C-reactive protein (hsCRP)), whole body insulin sensitivity (Matsuda Index) and Metabolic Syndrome criteria in people with/without AT dysfunction. Molecular data directly measured from three tissues in a subset of participants allowed fine-scale multi-OMIC profiling of individual postprandial responses (RNA-seq in SKM and SQAT, miRNA from plasma exosomes and shotgun lipidomics in blood). Dynamic postprandial immunometabolic molecular endophenotypes were obtained to move towards a personalized, patient-defined medicine. This study offers an example of integrative translational research, which applies bench-to-bedside research to clinical medicine. Our F/P study design has the potential to characterize CV/immunometabolic early risk detection in support of precision medicine and discovery in SF individuals.
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Affiliation(s)
- Esther C. Gallegos-Cabriales
- Facultad de Enfermería, Universidad Autónoma de Nuevo León (UANL), Monterrey 64460, Mexico; (E.C.G.-C.); (R.A.V.-G.); (S.B.V.-C.)
| | - Ernesto Rodriguez-Ayala
- Centro de Investigación en Ciencias de la Salud (CICSA), Facultad de Ciencias de la Salud, Universidad Anáhuac Norte, Lomas Anahuac 52786, Mexico; (E.R.-A.); (F.E.-A.); (V.-G.P.); (E.S.)
| | - Hugo A. Laviada-Molina
- Escuela de Ciencias de la Salud, Universidad Marista de Mérida, Mérida 97300, Mexico; (H.A.L.-M.); (F.M.-S.); (L.G.-R.); (R.D.A.-V.); (V.M.H.-E.)
| | | | - Rocío A. Salinas-Osornio
- Departamento de Nutrición, Universidad del Valle de Atemajac (UNIVA), Zapopan 45050, Mexico; (R.A.S.-O.); (L.G.-L.); (M.E.V.-R.); (R.G.-Z.); (J.M.V.-P.)
| | - Lorena Orozco
- Laboratorio de Inmunogenómica y Enfermedades Metabólicas, Instituto Nacional de Medicina Genómica, SS, Ciudad de México 14610, Mexico; (L.O.); (E.E.H.-A.); (A.M.-H.); (F.M.B.-O.)
| | - Irene Leal-Berumen
- Facultad de Medicina y Ciencias Biomédicas, Universidad Autónoma de Chihuahua, Chihuahua 31125, Mexico;
| | - Juan Carlos Castillo-Pineda
- Departamento de Nutrición Humana, Universidad Latina de América, Morelia 58170, Mexico; (J.C.C.-P.); (A.M.-R.); (S.P.D.-T.)
| | - Laura Gonzalez-Lopez
- Departamento de Nutrición, Universidad del Valle de Atemajac (UNIVA), Zapopan 45050, Mexico; (R.A.S.-O.); (L.G.-L.); (M.E.V.-R.); (R.G.-Z.); (J.M.V.-P.)
| | - Claudia Escudero-Lourdes
- Facultad de Ciencias Químicas, Universidad Autónoma de San Luis Potosí, San Luis Potosi 78240, Mexico; (C.E.-L.); (M.A.-M.)
| | - Judith Cornejo-Barrera
- Departamento de Enseñanza, Postgrado e Investigación, Hospital Infantil de Tamaulipas, Ciudad Victoria 87150, Mexico;
| | - Fabiola Escalante-Araiza
- Centro de Investigación en Ciencias de la Salud (CICSA), Facultad de Ciencias de la Salud, Universidad Anáhuac Norte, Lomas Anahuac 52786, Mexico; (E.R.-A.); (F.E.-A.); (V.-G.P.); (E.S.)
- Laboratorio de Inmunogenómica y Enfermedades Metabólicas, Instituto Nacional de Medicina Genómica, SS, Ciudad de México 14610, Mexico; (L.O.); (E.E.H.-A.); (A.M.-H.); (F.M.B.-O.)
| | - Eira E. Huerta-Avila
- Laboratorio de Inmunogenómica y Enfermedades Metabólicas, Instituto Nacional de Medicina Genómica, SS, Ciudad de México 14610, Mexico; (L.O.); (E.E.H.-A.); (A.M.-H.); (F.M.B.-O.)
| | - Fatima A. Buenfil-Rello
- Population Health Program, Southwest National Primate Research Center (SNPRC), Texas Biomedical Research Institute, San Antonio, TX 78227-0549, USA; (F.A.B.-R.); (J.F.G.-S.); (Z.V.); (K.H.); (S.A.C.)
| | - Vanessa-Giselle Peschard
- Centro de Investigación en Ciencias de la Salud (CICSA), Facultad de Ciencias de la Salud, Universidad Anáhuac Norte, Lomas Anahuac 52786, Mexico; (E.R.-A.); (F.E.-A.); (V.-G.P.); (E.S.)
| | - Eliud Silva
- Centro de Investigación en Ciencias de la Salud (CICSA), Facultad de Ciencias de la Salud, Universidad Anáhuac Norte, Lomas Anahuac 52786, Mexico; (E.R.-A.); (F.E.-A.); (V.-G.P.); (E.S.)
| | - Rosa A. Veloz-Garza
- Facultad de Enfermería, Universidad Autónoma de Nuevo León (UANL), Monterrey 64460, Mexico; (E.C.G.-C.); (R.A.V.-G.); (S.B.V.-C.)
| | - Angelica Martinez-Hernandez
- Laboratorio de Inmunogenómica y Enfermedades Metabólicas, Instituto Nacional de Medicina Genómica, SS, Ciudad de México 14610, Mexico; (L.O.); (E.E.H.-A.); (A.M.-H.); (F.M.B.-O.)
| | - Francisco M. Barajas-Olmos
- Laboratorio de Inmunogenómica y Enfermedades Metabólicas, Instituto Nacional de Medicina Genómica, SS, Ciudad de México 14610, Mexico; (L.O.); (E.E.H.-A.); (A.M.-H.); (F.M.B.-O.)
| | - Fernanda Molina-Segui
- Escuela de Ciencias de la Salud, Universidad Marista de Mérida, Mérida 97300, Mexico; (H.A.L.-M.); (F.M.-S.); (L.G.-R.); (R.D.A.-V.); (V.M.H.-E.)
| | - Lucia Gonzalez-Ramirez
- Escuela de Ciencias de la Salud, Universidad Marista de Mérida, Mérida 97300, Mexico; (H.A.L.-M.); (F.M.-S.); (L.G.-R.); (R.D.A.-V.); (V.M.H.-E.)
| | - Ruy D. Arjona-Villicaña
- Escuela de Ciencias de la Salud, Universidad Marista de Mérida, Mérida 97300, Mexico; (H.A.L.-M.); (F.M.-S.); (L.G.-R.); (R.D.A.-V.); (V.M.H.-E.)
| | - Victor M. Hernandez-Escalante
- Escuela de Ciencias de la Salud, Universidad Marista de Mérida, Mérida 97300, Mexico; (H.A.L.-M.); (F.M.-S.); (L.G.-R.); (R.D.A.-V.); (V.M.H.-E.)
| | - Janeth F. Gaytan-Saucedo
- Population Health Program, Southwest National Primate Research Center (SNPRC), Texas Biomedical Research Institute, San Antonio, TX 78227-0549, USA; (F.A.B.-R.); (J.F.G.-S.); (Z.V.); (K.H.); (S.A.C.)
| | - Zoila Vaquera
- Population Health Program, Southwest National Primate Research Center (SNPRC), Texas Biomedical Research Institute, San Antonio, TX 78227-0549, USA; (F.A.B.-R.); (J.F.G.-S.); (Z.V.); (K.H.); (S.A.C.)
| | - Monica Acebo-Martinez
- Facultad de Ciencias Químicas, Universidad Autónoma de San Luis Potosí, San Luis Potosi 78240, Mexico; (C.E.-L.); (M.A.-M.)
| | - Areli Murillo-Ramirez
- Departamento de Nutrición Humana, Universidad Latina de América, Morelia 58170, Mexico; (J.C.C.-P.); (A.M.-R.); (S.P.D.-T.)
| | - Sara P. Diaz-Tena
- Departamento de Nutrición Humana, Universidad Latina de América, Morelia 58170, Mexico; (J.C.C.-P.); (A.M.-R.); (S.P.D.-T.)
| | - Benigno Figueroa-Nuñez
- Clínica de Enfermedades Crónicas y Procedimientos Especiales (CECYPE), Morelia 58249, Mexico;
| | - Melesio E. Valencia-Rendon
- Departamento de Nutrición, Universidad del Valle de Atemajac (UNIVA), Zapopan 45050, Mexico; (R.A.S.-O.); (L.G.-L.); (M.E.V.-R.); (R.G.-Z.); (J.M.V.-P.)
| | - Rafael Garzon-Zamora
- Departamento de Nutrición, Universidad del Valle de Atemajac (UNIVA), Zapopan 45050, Mexico; (R.A.S.-O.); (L.G.-L.); (M.E.V.-R.); (R.G.-Z.); (J.M.V.-P.)
| | - Juan Manuel Viveros-Paredes
- Departamento de Nutrición, Universidad del Valle de Atemajac (UNIVA), Zapopan 45050, Mexico; (R.A.S.-O.); (L.G.-L.); (M.E.V.-R.); (R.G.-Z.); (J.M.V.-P.)
| | - Salvador B. Valdovinos-Chavez
- Facultad de Enfermería, Universidad Autónoma de Nuevo León (UANL), Monterrey 64460, Mexico; (E.C.G.-C.); (R.A.V.-G.); (S.B.V.-C.)
| | | | - Karin Haack
- Population Health Program, Southwest National Primate Research Center (SNPRC), Texas Biomedical Research Institute, San Antonio, TX 78227-0549, USA; (F.A.B.-R.); (J.F.G.-S.); (Z.V.); (K.H.); (S.A.C.)
| | | | - Xianlin Han
- Department of Medicine, Sam and Ann Barshop Institute for Longevity and Aging Studies, University of Texas Health San Antonio, San Antonio, TX 78229, USA;
| | - Shelley A. Cole
- Population Health Program, Southwest National Primate Research Center (SNPRC), Texas Biomedical Research Institute, San Antonio, TX 78227-0549, USA; (F.A.B.-R.); (J.F.G.-S.); (Z.V.); (K.H.); (S.A.C.)
| | - Raul A. Bastarrachea
- Population Health Program, Southwest National Primate Research Center (SNPRC), Texas Biomedical Research Institute, San Antonio, TX 78227-0549, USA; (F.A.B.-R.); (J.F.G.-S.); (Z.V.); (K.H.); (S.A.C.)
- Sansum Diabetes Research Institute, Santa Barbara, CA 93105, USA;
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Canter KS, Vega G, Ramirez AP, Deatrick JA, Kazak AE. Strategies for Successful Recruitment and Retention of Parents in Pediatric Psychosocial eHealth Interventions: A Qualitative Study in Pediatric Oncology. J Pediatr Psychol 2020; 45:530-539. [PMID: 32196090 PMCID: PMC7234089 DOI: 10.1093/jpepsy/jsaa013] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2019] [Revised: 02/14/2020] [Accepted: 02/15/2020] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVE Psychosocial intervention studies with parents often have difficulty with regard to participant recruitment, retention, and engagement. Prior to conducting a pilot test of the Electronic Surviving Cancer Competently Intervention Program (eSCCIP), a psychosocial eHealth intervention for parents of children with cancer, a qualitative study was designed to preemptively generate strategies to address potential difficulties in these domains. METHODS Two focus groups and three semi-structured interviews were conducted with parents of children with cancer. Qualitative data were analyzed using the principles of thematic and content analysis. Themes were generated to describe results and inform the development of concrete recruitment, retention, and engagement strategies to be utilized in future intervention trials. RESULTS Five themes emerged specific to recruitment, and three themes emerged related to retention and engagement. Parents highlighted a number of important potential recruitment, retention, and engagement strategies, including the importance of flexibility, ease of access and use, intervention timing, and pathways to follow-up care. Themes were linked to actionable recruitment, retention, and engagement strategies which can be utilized in future studies. CONCLUSION Results from the current study will be utilized when designing future eSCCIP intervention trials and will also be of use to the broader field of psychosocial eHealth intervention research in pediatric psychology. This study also underscores the importance of working with parent stakeholders at all phases of study design and implementation.
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Affiliation(s)
- Kimberly S Canter
- Nemours Center for Healthcare Delivery Science, Nemours Children’s Health System
- Department of Pediatrics, Thomas Jefferson University
| | - Gabriela Vega
- Nemours Center for Healthcare Delivery Science, Nemours Children’s Health System
| | | | - Janet A Deatrick
- Department of Family and Community Nursing, University of Pennsylvania School of Nursing
| | - Anne E Kazak
- Nemours Center for Healthcare Delivery Science, Nemours Children’s Health System
- Department of Pediatrics, Thomas Jefferson University
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Abstract
BACKGROUND Given a marked increase in the number of grandparents who play a caregiving role for their grandchildren, there is a parallel urgency for more research involving grandparent-grandchild dyads. OBJECTIVE The aim of this study was to describe methodological challenges we encountered when conducting grandparent-grandchild dyadic research, some of which were challenges specific to working with dyads where the grandparents were caregivers to the child participants and others, which were challenges of a sort that might be encountered in any research involving data collection with multigenerational family units and, in particular, multigenerational family units including older adults. METHODS During and after an observational study conducted by the researchers involving grandparent-grandchild dyads, we explored challenges we encountered and strategies for improving our research outcomes. RESULTS We found several challenges specific to grandparent-grandchild dyads, including complications with reaching legal guardians to obtain permission for child participants; collecting accelerometer data from grandchildren was difficult, particularly if the grandparents did not live with their grandchildren; and participants who had various preferences for data collection methods. We also found challenges that might be found with any family context dyadic research, particularly involving older adults and across multiple generations, including relatively low follow-up response rates from those grandparents who initially expressed interest and a need for an extended data collection period. We employed targeted strategies to overcome those obstacles, and in this article, we describe the outcomes of those strategies. DISCUSSION Recommendations from our results include the following: (a) find a way to involve the parents and/or legal guardian as early as possible, (b) have multiple team members involved in recruitment/data collection, (c) be flexible about data collection methods, (d) use flexible scheduling, and (e) use multiple simultaneous recruitment activities/multiple advertisement channels. Additional strategies include enhancing children's sense of control during the consent process, simplifying study procedures, considering usability when creating online data surveys, and identifying power dynamics within the families. CONCLUSION The insights we gained will be useful for informing future family context dyadic research, in particular, research involving grandparent-grandchild dyads.
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Deep Multi-OMICs and Multi-Tissue Characterization in a Pre- and Postprandial State in Human Volunteers: The GEMM Family Study Research Design. Genes (Basel) 2018; 9:genes9110532. [PMID: 30400254 PMCID: PMC6266773 DOI: 10.3390/genes9110532] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2018] [Revised: 10/18/2018] [Accepted: 10/29/2018] [Indexed: 12/16/2022] Open
Abstract
Cardiovascular disease (CVD) and type 2 diabetes (T2D) are increasing worldwide. This is mainly due to an unhealthy nutrition, implying that variation in CVD risk may be due to variation in the capacity to manage a nutritional load. We examined the genomic basis of postprandial metabolism. Our main purpose was to introduce the GEMM Family Study (Genetics of Metabolic Diseases in Mexico) as a multi-center study carrying out an ongoing recruitment of healthy urban adults. Each participant received a mixed meal challenge and provided a 5-hours’ time course series of blood, buffy coat specimens for DNA isolation, and adipose tissue (ADT)/skeletal muscle (SKM) biopsies at fasting and 3 h after the meal. A comprehensive profiling, including metabolomic signatures in blood and transcriptomic and proteomic profiling in SKM and ADT, was performed to describe tendencies for variation in postprandial response. Our data generation methods showed preliminary trends indicating that by characterizing the dynamic properties of biomarkers with metabolic activity and analyzing multi-OMICS data it could be possible, with this methodology and research design, to identify early trends for molecular biology systems and genes involved in the fasted and fed states.
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Wacher NH, Reyes-Sánchez M, Vargas-Sánchez HR, Gamiochipi-Cano M, Rascón-Pacheco RA, Gómez-Díaz RA, Doubova SV, Valladares-Salgado A, Sánchez-Becerra MC, Méndez-Padrón A, Valdez-González LA, Mondragón-González R, Cruz M, Salinas-Martinez AM, Garza-Sagástegui MG, Hernández-Rubí J, González-Hermosillo A, Borja-Aburto VH. Stepwise strategies to successfully recruit diabetes patients in a large research study in Mexican population. Prim Care Diabetes 2017; 11:297-304. [PMID: 28343902 DOI: 10.1016/j.pcd.2017.02.005] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/13/2016] [Revised: 02/24/2017] [Accepted: 02/26/2017] [Indexed: 11/24/2022]
Abstract
AIMS Describe stepwise strategies (electronic chart review, patient preselection, call-center, personnel dedicated to recruitment) for the successful recruitment of >5000 type 2 diabetes patients in four months. METHODS Twenty-five family medicine clinics from Mexico City and the State of Mexico participated: 13 usual care, 6 specialized diabetes care and 6 chronic disease care. Appointments were scheduled from 11/3/2015 to 3/31/2016. Phone calls were generated automatically from an electronic database. A telephone questionnaire verified inclusion criteria, and scheduled an appointment, with a daily report of appointments, patient attendance, acceptance rate, and questionnaire completeness. Another recruitment log reviewed samples collected. Absolute number (percentage) of patients are reported. Means and standard deviations were estimated for continuous variables, χ2 test and independent "t" tests were used. OR and 95% CI were estimated. RESULTS 14,358 appointments were scheduled, 9146 (63.7%) attended their appointment: 5710 (62.4%) fulfilled inclusion criteria and 5244 agreed to participate (91.8% acceptance). Those accepting participation were more likely women, younger and with longer disease duration (p<0.05). The cost of the call-center service was $3,010,000.00 Mexican pesos (∼$31.70 USD per recruited patient). CONCLUSIONS Stepwise strategies recruit a high number of patients in a short time. Call centers offer a low cost per patient.
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Affiliation(s)
- Niels H Wacher
- Unidad de Investigación en Epidemiología Clínica, UMAE Hospital de Especialidades, Centro Médico Siglo XXI, IMSS, Mexico City, Mexico.
| | - Mario Reyes-Sánchez
- División de Medicina Familiar, Unidad de Atención Primaria, IMSS, Mexico City, Mexico
| | | | - Mireya Gamiochipi-Cano
- Unidad de Investigación en Epidemiología Clínica, UMAE Hospital de Especialidades, Centro Médico Siglo XXI, IMSS, Mexico City, Mexico
| | | | - Rita A Gómez-Díaz
- Unidad de Investigación en Epidemiología Clínica, UMAE Hospital de Especialidades, Centro Médico Siglo XXI, IMSS, Mexico City, Mexico
| | - Svetlana V Doubova
- Unidad de Investigación en Epidemiología y Servicios de Salud, Centro Médico Siglo XXI, IMSS, Mexico City, Mexico
| | - Adán Valladares-Salgado
- Unidad de Investigación Médica en Bioquímica, UMAE Hospital de Especialidades, Centro Médico Siglo XXI, IMSS, Mexico City, Mexico
| | - Martha Catalina Sánchez-Becerra
- Unidad de Investigación Médica en Bioquímica, UMAE Hospital de Especialidades, Centro Médico Siglo XXI, IMSS, Mexico City, Mexico
| | - Araceli Méndez-Padrón
- Unidad de Investigación Médica en Bioquímica, UMAE Hospital de Especialidades, Centro Médico Siglo XXI, IMSS, Mexico City, Mexico
| | - Leticia A Valdez-González
- Unidad de Investigación en Epidemiología Clínica, UMAE Hospital de Especialidades, Centro Médico Siglo XXI, IMSS, Mexico City, Mexico
| | - Rafael Mondragón-González
- Unidad de Investigación en Epidemiología Clínica, UMAE Hospital de Especialidades, Centro Médico Siglo XXI, IMSS, Mexico City, Mexico
| | - Miguel Cruz
- Unidad de Investigación Médica en Bioquímica, UMAE Hospital de Especialidades, Centro Médico Siglo XXI, IMSS, Mexico City, Mexico
| | | | | | - Jaime Hernández-Rubí
- Departamento de Ingeniería en Sistemas Computacionales y Automatización, Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | - Arturo González-Hermosillo
- Departamento de Ingeniería en Sistemas Computacionales y Automatización, Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas, Universidad Nacional Autónoma de México, Mexico City, Mexico
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