1
|
Katzow MW, Messito MJ, Mendelsohn AL, Scott MA, Gross RS. Protective Effect of Prenatal Social Support on the Intergenerational Transmission of Obesity in Low-Income Hispanic Families. Child Obes 2023; 19:382-390. [PMID: 36112108 PMCID: PMC10468550 DOI: 10.1089/chi.2021.0306] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Background: Prepregnancy overweight/obesity (OW/OB) is a strong risk factor for child obesity. Few studies have identified modifiable factors that mitigate this risk. Objective: The objective of this study was to determine if prenatal social support buffers the effect of prepregnancy OW/OB on child birth weight z-score (BWz) and weight-for-age z-score (WFAz) trajectory. Methods: We performed a longitudinal secondary analysis of 524 mother-infant pairs enrolled in a randomized controlled trial of the Starting Early Program, a child obesity prevention program for Hispanic families with low income. Social support was assessed in the third trimester of pregnancy; maternal prepregnancy OW/OB and child WFAz from birth to age 3 years were obtained from medical records. Linear regression and multilevel modeling tested the effects of maternal prepregnancy OW/OB on child weight outcomes, and whether prenatal social support moderated these effects. Results: Prepregnancy OW/OB was associated with significantly higher child BWz (B = 0.23, p = 0.01) and WFAz trajectories (B = 0.19, 0.01). The interaction between social support and prepregnancy OW/OB was negatively related to child BWz (B = -0.26, p = 0.02) and WFAz trajectory (B = -0.40, p = 0.047). Conclusions: Prenatal social support may be protective against the intergenerational transmission of obesity risk. Interventions for the prevention of child obesity should consider incorporating social support into their design. Clinical Trial Registration Number: NCT01541761.
Collapse
Affiliation(s)
- Michelle W. Katzow
- Division of General Pediatrics, Department of Pediatrics, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
- The Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA
| | - Mary Jo Messito
- Division of General Pediatrics, Department of Pediatrics, New York University Grossman School of Medicine, New York, NY, USA
| | - Alan L. Mendelsohn
- Division of Developmental-Behavioral Pediatrics, Department of Pediatrics, New York University Grossman School of Medicine, New York, NY, USA
| | - Marc A. Scott
- Department of Applied Statistics, Social Science, and Humanities, New York University Steinhardt School of Culture, Education, and Human Development, New York, NY, USA
| | - Rachel S. Gross
- Division of General Pediatrics, Department of Pediatrics, New York University Grossman School of Medicine, New York, NY, USA
| |
Collapse
|
2
|
Krefman AE, Ghamsari F, Turner DR, Lu A, Borsje M, Wood CW, Petito LC, Polubriaginof FCG, Schneider D, Ahmad F, Allen NB. Using electronic health record data to link families: an illustrative example using intergenerational patterns of obesity. J Am Med Inform Assoc 2023; 30:915-922. [PMID: 36857086 PMCID: PMC10114127 DOI: 10.1093/jamia/ocad028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2022] [Revised: 02/03/2023] [Accepted: 02/16/2023] [Indexed: 03/02/2023] Open
Abstract
OBJECTIVE Electronic health record (EHR) data are a valuable resource for population health research but lack critical information such as relationships between individuals. Emergency contacts in EHRs can be used to link family members, creating a population that is more representative of a community than traditional family cohorts. MATERIALS AND METHODS We revised a published algorithm: relationship inference from the electronic health record (RIFTEHR). Our version, Pythonic RIFTEHR (P-RIFTEHR), identifies a patient's emergency contacts, matches them to existing patients (when available) using network graphs, checks for conflicts, and infers new relationships. P-RIFTEHR was run on December 15, 2021 in the Northwestern Medicine Electronic Data Warehouse (NMEDW) on approximately 2.95 million individuals and was validated using the existing link between children born at NM hospitals and their mothers. As proof-of-concept, we modeled the association between parent and child obesity using logistic regression. RESULTS The P-RIFTEHR algorithm matched 1 157 454 individuals in 448 278 families. The median family size was 2, the largest was 32 persons, and 247 families spanned 4 generations or more. Validation of the mother-child pairs resulted in 95.1% sensitivity. Children were 2 times more likely to be obese if a parent is obese (OR: 2.30; 95% CI, 2.23-2.37). CONCLUSION P-RIFTEHR can identify familiar relationships in a large, diverse population in an integrated health system. Estimates of parent-child inheritability of obesity using family structures identified by the algorithm were consistent with previously published estimates from traditional cohort studies.
Collapse
Affiliation(s)
- Amy E Krefman
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Farhad Ghamsari
- Department of Internal Medicine, Tulane University School of Medicine, New Orleans, Louisiana, USA
| | - Daniel R Turner
- IT Research Computing Services, Northwestern University, Evanston, Illinois, USA
| | - Alice Lu
- Northwestern Medicine Enterprise Data Warehouse, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Martin Borsje
- Northwestern Medicine Enterprise Data Warehouse, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Colby Witherup Wood
- IT Research Computing Services, Northwestern University, Evanston, Illinois, USA
| | - Lucia C Petito
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | | | - Daniel Schneider
- Northwestern Medicine Enterprise Data Warehouse, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Faraz Ahmad
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
- Division of Cardiology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Norrina B Allen
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| |
Collapse
|
3
|
Dong Z, Wu L, Chen Y, Lyulyov O, Pimonenko T. Intergenerational Transmission of Obesity: Role of Education and Income. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:15931. [PMID: 36498003 PMCID: PMC9736310 DOI: 10.3390/ijerph192315931] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Revised: 11/23/2022] [Accepted: 11/27/2022] [Indexed: 06/17/2023]
Abstract
Based on the sixth round of the 2018 Chinese Household Income Project family income survey (CHIP) data, this study made use of the OLS estimation and transfer matrix method to measure and test the problem of obesity intergenerational transmission, analyze whether there is obesity intergenerational transmission as well as between urban and rural areas, gender, and the parental education level and income level on the suppression of the obesity intergenerational transmission effect. The empirical results draw the following main conclusions: obesity intergenerational transmission in Chinese families, the degree of parental obesity has a significant positive impact on the degree of offspring obesity; the higher the degree of parental obesity, the more it can promote the degree of obesity in the offspring. Moreover, the degree of obesity intergenerational transmission is heterogeneous in urban and rural areas and gender. At the same time, the degree of rural obesity intergenerational transmission is higher than that of urban areas, and the degree of male obesity intergenerational transmission is higher than that of women.
Collapse
Affiliation(s)
- Zhiwei Dong
- School of Sports Science, Fujian Normal University, Fuzhou 350117, China
| | - Liping Wu
- College of Economics and Management, Jiangxi Agricultural University, Nanchang 310045, China
| | - Yang Chen
- School of Economics, Fujian Normal University, Fuzhou 350117, China
| | - Oleksii Lyulyov
- Department of Management, Faculty of Applied Sciences, WSB University, 41-300 Dabrowa Gornicza, Poland
- Department of Marketing, Sumy State University, 40007 Sumy, Ukraine
| | - Tetyana Pimonenko
- Department of Management, Faculty of Applied Sciences, WSB University, 41-300 Dabrowa Gornicza, Poland
- Department of Marketing, Sumy State University, 40007 Sumy, Ukraine
| |
Collapse
|
4
|
Zwir I, Del-Val C, Arnedo J, Pulkki-Råback L, Konte B, Yang SS, Romero-Zaliz R, Hintsanen M, Cloninger KM, Garcia D, Svrakic DM, Lester N, Rozsa S, Mesa A, Lyytikäinen LP, Giegling I, Kähönen M, Martinez M, Seppälä I, Raitoharju E, de Erausquin GA, Mamah D, Raitakari O, Rujescu D, Postolache TT, Gu CC, Sung J, Lehtimäki T, Keltikangas-Järvinen L, Cloninger CR. Three genetic-environmental networks for human personality. Mol Psychiatry 2021; 26:3858-3875. [PMID: 31748689 PMCID: PMC8550959 DOI: 10.1038/s41380-019-0579-x] [Citation(s) in RCA: 46] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/04/2019] [Revised: 09/26/2019] [Accepted: 10/24/2019] [Indexed: 02/07/2023]
Abstract
Phylogenetic, developmental, and brain-imaging studies suggest that human personality is the integrated expression of three major systems of learning and memory that regulate (1) associative conditioning, (2) intentionality, and (3) self-awareness. We have uncovered largely disjoint sets of genes regulating these dissociable learning processes in different clusters of people with (1) unregulated temperament profiles (i.e., associatively conditioned habits and emotional reactivity), (2) organized character profiles (i.e., intentional self-control of emotional conflicts and goals), and (3) creative character profiles (i.e., self-aware appraisal of values and theories), respectively. However, little is known about how these temperament and character components of personality are jointly organized and develop in an integrated manner. In three large independent genome-wide association studies from Finland, Germany, and Korea, we used a data-driven machine learning method to uncover joint phenotypic networks of temperament and character and also the genetic networks with which they are associated. We found three clusters of similar numbers of people with distinct combinations of temperament and character profiles. Their associated genetic and environmental networks were largely disjoint, and differentially related to distinct forms of learning and memory. Of the 972 genes that mapped to the three phenotypic networks, 72% were unique to a single network. The findings in the Finnish discovery sample were blindly and independently replicated in samples of Germans and Koreans. We conclude that temperament and character are integrated within three disjoint networks that regulate healthy longevity and dissociable systems of learning and memory by nearly disjoint sets of genetic and environmental influences.
Collapse
Grants
- Spanish Ministry of Science and Technology TIN2012-38805 and DPI2015-69585-R
- The Young Finns Study has been financially supported by the Academy of Finland: grants 286284, 134309 (Eye), 126925, 121584, 124282, 129378 (Salve), 117787 (Gendi), 41071 (Skidi), and 308676; the Social Insurance Institution of Finland; Competitive State Research Financing of the Expert Responsibility area of Kuopio, Tampere and Turku University Hospitals (grant X51001); Juho Vainio Foundation; Paavo Nurmi Foundation; Finnish Foundation for Cardiovascular Research ; Finnish Cultural Foundation; Tampere Tuberculosis Foundation; Emil Aaltonen Foundation; Yrjö Jahnsson Foundation; Signe and Ane Gyllenberg Foundation; Diabetes Research Foundation of Finnish Diabetes Association: and EU Horizon 2020 (grant 755320 for TAXINOMISIS).
- American Federation for Suicide Prevention
- Healthy Twin Family Register of Korea
- Anthropedia Foundation
- The Young Finns Study has been financially supported by the Academy of Finland: grants 286284, 322098, 134309 (Eye), 126925, 121584, 124282, 129378 (Salve), 117787 (Gendi), 41071 (Skidi), and 308676; the Social Insurance Institution of Finland; Competitive State Research Financing of the Expert Responsibility area of Kuopio, Tampere and Turku University Hospitals (grant X51001); Juho Vainio Foundation; Paavo Nurmi Foundation; Finnish Foundation for Cardiovascular Research ; Finnish Cultural Foundation; Tampere Tuberculosis Foundation; Emil Aaltonen Foundation; Yrjö Jahnsson Foundation; Signe and Ane Gyllenberg Foundation; Diabetes Research Foundation of Finnish Diabetes Association: and EU Horizon 2020 (grant 755320 for TAXINOMISIS); and Tampere University Hospital Supporting Foundation.
- American Society for Suicide Prevention
- American Foundation for Suicide Prevention
Collapse
Affiliation(s)
- Igor Zwir
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
- Department of Computer Science, University of Granada, Granada, Spain
| | - Coral Del-Val
- Department of Computer Science, University of Granada, Granada, Spain
| | - Javier Arnedo
- Department of Computer Science, University of Granada, Granada, Spain
| | - Laura Pulkki-Råback
- Department of Psychology and Logopedics, University of Helsinki, Helsinki, Finland
| | - Bettina Konte
- Department of Psychiatry, Martin-Luther-University Halle-Wittenberg, Halle, Germany
| | - Sarah S Yang
- Department of Epidemiology, and Institute of Health and Environment, School of Public Health, Seoul National University, Seoul, Korea
| | | | - Mirka Hintsanen
- Unit of Psychology, Faculty of Education, University of Oulu, Oulu, Finland
| | | | - Danilo Garcia
- Department of Psychology, University of Gothenburg, Gothenburg, Sweden
- Blekinge Centre of Competence, Blekinge County Council, Karlskrona, Sweden
| | - Dragan M Svrakic
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Nigel Lester
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Sandor Rozsa
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Alberto Mesa
- Department of Computer Science, University of Granada, Granada, Spain
| | - Leo-Pekka Lyytikäinen
- Department of Clinical Chemistry, Fimlab Laboratories, and Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Ina Giegling
- Department of Psychiatry, Martin-Luther-University Halle-Wittenberg, Halle, Germany
- University Clinic, Ludwig-Maximilian University, Munich, Germany
| | - Mika Kähönen
- Department of Clinical Physiology Tampere University Hospital, and Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Maribel Martinez
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Ilkka Seppälä
- Department of Clinical Chemistry, Fimlab Laboratories, and Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Emma Raitoharju
- Department of Clinical Chemistry, Fimlab Laboratories, and Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Gabriel A de Erausquin
- The Glenn Biggs Institute of Alzheimer's and Neurodegenerative Disorders, Long School of Medicine, University of Texas Heath San Antonio, San Antonio, TX, USA
| | - Daniel Mamah
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Olli Raitakari
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
- Centre for Population Health Research, Turku University Hospital, University of Turku Hospital, Turku, Finland
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
| | - Dan Rujescu
- Department of Psychiatry, Martin-Luther-University Halle-Wittenberg, Halle, Germany
| | - Teodor T Postolache
- Department of Psychiatry, School of Medicine, University of Maryland, Baltimore, MD, USA
- Rocky Mountain Mental Illness, Research, Education, and Clinical Center for Veteran Suicide Prevention, Denver, CO, USA
| | - C Charles Gu
- Division of Biostatistics, School of Medicine, Washington University, St. Louis, MO, USA
| | - Joohon Sung
- Department of Epidemiology, and Institute of Health and Environment, School of Public Health, Seoul National University, Seoul, Korea
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories, and Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | | | - C Robert Cloninger
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
- Department of Psychological and Brain Sciences, and School of Medicine, Department of Genetics, School of Arts and Sciences, Washington University, St. Louis, MO, USA.
| |
Collapse
|
5
|
Torrente-Sánchez MJ, Ferrer-Márquez M, Estébanez-Ferrero B, Jiménez-Lasserrotte MDM, Ruiz-Muelle A, Ventura-Miranda MI, Dobarrio-Sanz I, Granero-Molina J. Social Support for People with Morbid Obesity in a Bariatric Surgery Programme: A Qualitative Descriptive Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:6530. [PMID: 34204427 PMCID: PMC8297395 DOI: 10.3390/ijerph18126530] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Revised: 06/14/2021] [Accepted: 06/15/2021] [Indexed: 12/18/2022]
Abstract
Background-Morbid obesity (MO) is a chronic metabolic disease affecting physical, psychological and social wellbeing. Bariatric surgery is a reliable method for losing weight in the long term, improving the quality of life, body image and social life of people with MO. Current literature recognises the importance of social support in controlling weight and coping with MO. The objective of this study was to describe and understand experiences related to social support for patients with MO included in a bariatric surgery programme. Methods-A qualitative descriptive study, where data collection included thirty-one interviews with people diagnosed with MO involved in a bariatric surgery programme. Results-Three main themes emerged from the analysis: (1) accepting the problem in order to ask for help, (2) the need for close support and (3) professional support: opposing feelings. Conclusions-A partner, family and friends are the key pillars of social support for those with MO included in a bariatric surgery programme. Healthcare professionals gave formal support; the bariatric surgery team provided information, trust and assurance. Nurses provided healthcare 24 h a day, making them the main formal support for people in the bariatric surgery programme.
Collapse
Affiliation(s)
| | - Manuel Ferrer-Márquez
- Hospital HLA Mediterráneo, 04007 Almería, Spain; (M.J.T.-S.); (M.F.-M.)
- Hospital Universitario Torrecárdenas, 04009 Almería, Spain;
| | | | - María del Mar Jiménez-Lasserrotte
- Department of Nursing, Physiotherapy and Medicine, University of Almeria, 04120 Almería, Spain; (M.d.M.J.-L.); (A.R.-M.); (M.I.V.-M.); (I.D.-S.)
| | - Alicia Ruiz-Muelle
- Department of Nursing, Physiotherapy and Medicine, University of Almeria, 04120 Almería, Spain; (M.d.M.J.-L.); (A.R.-M.); (M.I.V.-M.); (I.D.-S.)
| | - María Isabel Ventura-Miranda
- Department of Nursing, Physiotherapy and Medicine, University of Almeria, 04120 Almería, Spain; (M.d.M.J.-L.); (A.R.-M.); (M.I.V.-M.); (I.D.-S.)
| | - Iria Dobarrio-Sanz
- Department of Nursing, Physiotherapy and Medicine, University of Almeria, 04120 Almería, Spain; (M.d.M.J.-L.); (A.R.-M.); (M.I.V.-M.); (I.D.-S.)
| | - José Granero-Molina
- Department of Nursing, Physiotherapy and Medicine, University of Almeria, 04120 Almería, Spain; (M.d.M.J.-L.); (A.R.-M.); (M.I.V.-M.); (I.D.-S.)
- Faculty of Health Sciences, Universidad Autónoma de Chile, Santiago 7500000, Chile
| |
Collapse
|
6
|
Virtual and real-life ostracism and its impact on a subsequent acute stressor. Physiol Behav 2020; 228:113205. [PMID: 33058901 DOI: 10.1016/j.physbeh.2020.113205] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2020] [Revised: 10/09/2020] [Accepted: 10/10/2020] [Indexed: 02/07/2023]
Abstract
While ostracism constitutes a social stressor with negative effects on physical and mental health, social inclusion seems to increase resilience. This may be true not only for face-to-face settings, but also for computer-mediated interactions. Hence, this study examined the differences between ostracism and social inclusion in real-life or Virtual Reality (VR) regarding self-reported stress, neuroendocrine and cardiovascular reactivity in a subsequent real-life socio-evaluative task. 84 females were randomly assigned to a 3 (agency: face-to-face/human controlled VR-avatar/computer VR-agent) x 2 (inclusion status: inclusion/exclusion) between-subject design using a Cyberball paradigm. Subsequently, they were exposed to a real-life Trier Social Stress Test (TSST). Results indicate that the experience of ostracism constitutes a threat to fundamental social needs independent of agency. Excluded participants showed cardiovascular reactivity during TSST; also face-to-face and avatar excluded individuals had elevated salivary cortisol levels. Included participants reported more perceived social support during Cyberball and showed a blunted cortisol response to the TSST. These results suggest that face-to-face and avatar-related ostracism provokes responses in the hypothalamic-pituitary-adrenal (HPA) axis and the sympathetic nervous system (SNS). Furthermore, they reveal that social inclusion may act as a stress-protector as it alters HPA- and SNS-related stress responsiveness to subsequent stressors.
Collapse
|
7
|
Porcelli S, Kasper S, Zohar J, Souery D, Montgomery S, Ferentinos P, Rujescu D, Mendlewicz J, Merlo Pich E, Pollentier S, Penninx BWJH, Serretti A. Social dysfunction in mood disorders and schizophrenia: Clinical modulators in four independent samples. Prog Neuropsychopharmacol Biol Psychiatry 2020; 99:109835. [PMID: 31836507 DOI: 10.1016/j.pnpbp.2019.109835] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/23/2019] [Revised: 11/25/2019] [Accepted: 12/05/2019] [Indexed: 12/21/2022]
Abstract
INTRODUCTION Social dysfunction is a common symptom of several neuropsychiatric disorders. However, only in the last few years research began to systematically investigate clinical aspects of this relevant outcome. Interestingly, its distribution and link with other clinical variables is still unclear. This study investigated social dysfunction in 4 different cohorts of patients affected by mood disorders and schizophrenia to evaluate 1) the degree of social dysfunction in these populations; 2) the associations among social dysfunction and socio-demographic and psychopathological features. METHODS Data from 4 independent studies (CATIE, GSRD ES1, ES2 and ES3, STAR*D, STEP-BD) were investigated. Behavioural and affective indicators of social dysfunction were derived and operationalized from scales or questionnaire items related to the interaction with relatives, friends and significant people in patients affected by schizophrenia (N = 765) and mood disorders (N = 2278 + 1954 + 1829). In particular the social dysfunction indicator was derived from Sheehan Disability Scale (SDS) for GSRD sample, from the Work and Social Adjustment Scale (WSAS) for STAR*D sample, from the Life-Range of Impaired Functioning Tool (LRIFT) for STEP-BD sample, and from the Quality of Life Scale (QOLS) for CATIE sample. The distribution of social dysfunction was described and association with socio-demographic and psychopathological characteristics were analysed. RESULTS Social dysfunction indicators showed a broad distribution in all samples investigated. Consistently across studies, social dysfunction was associated with higher psychopathological severity (all samples except CATIE) and suicide risk (GSRD ES1 and ES2, STAR*D, and STEP-BD) that explain up to 47% of the variance, but also to lower education level (GSRD ES2, STAR*D, CATIE, and STEP-BD), poorer professional/work status (GSRD ES2 and ES3, STAR*D, CATIE, and STEP-BD), marital status (STAR*D and CATIE), age (younger age in GSRD ES1 and STAR*D, older age in CATIE), higher BMI (GSRD ES2 and ES3, and STEP-BD), and smoking (GSRD ES2 and ES3). CONCLUSION Our results demonstrated that a significant percentage of patients affected by both mood disorders and schizophrenia shows relevant social dysfunction. Social dysfunction is related, but not completely explained by psychopathological severity. In several patients, it tends to persist also during remission state. Socio-demographic and lifestyle factors were also found to play a role and should therefore be taken into consideration in further studies investigating social dysfunction.
Collapse
Affiliation(s)
- Stefano Porcelli
- Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy.
| | - Siegfried Kasper
- Department of Psychiatry and Psychotherapy, Medical University Vienna, Austria
| | - Joseph Zohar
- Department of Psychiatry, Sheba Medical Center, Tel Hashomer, and Sackler School of Medicine, Tel Aviv University, Israel
| | - Daniel Souery
- Laboratoire de Psychologie Medicale, Universitè Libre de Bruxelles and Psy Pluriel, Centre Européen de Psychologie Medicale, Brussels, Belgium
| | | | | | - Dan Rujescu
- University Clinic for Psychiatry, Psychotherapy and Psychosomatic, Martin-Luther-University Halle-Wittenberg, Germany
| | | | - Emilio Merlo Pich
- Neuroscience Therapeutic Area Unit, Takeda Pharmaceutical International, Zurich, Switzerland; Imperial College School of Medicine, London, United Kingdom
| | - Stephane Pollentier
- Boehringer Ingelheim Pharma GmbH & Co KG, CNS Diseases Research, Biberach an der Riss, Germany
| | - Brenda W J H Penninx
- Department of Psychiatry, Amsterdam Neuroscience and Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit, Amsterdam, the Netherlands
| | - Alessandro Serretti
- Department of Biomedical and NeuroMotor Sciences, University of Bologna, Bologna, Italy
| |
Collapse
|
8
|
Katzow M, Messito MJ, Mendelsohn AL, Scott MA, Gross RS. The Protective Effect of Prenatal Social Support on Infant Adiposity in the First 18 Months of Life. J Pediatr 2019; 209:77-84. [PMID: 30879731 PMCID: PMC6535345 DOI: 10.1016/j.jpeds.2019.02.017] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/22/2018] [Revised: 01/22/2019] [Accepted: 02/13/2019] [Indexed: 12/28/2022]
Abstract
OBJECTIVE To determine whether prenatal social support was associated with infant adiposity in the first 18 months of life in a low-income, Hispanic sample, known to be at high risk of early child obesity. STUDY DESIGN We performed a longitudinal analysis of 262 low-income, Hispanic mother-infant pairs in the control group of the Starting Early child obesity prevention trial. Prenatal social support was measured using an item from the Maternal Social Support Index. We used multilevel modeling to predict weight-for-length z-score trajectories from birth to age 18 months and logistic regression to predict macrosomia and overweight status at ages 6, 12, and 18 months. RESULTS High prenatal social support was independently associated with lower infant adiposity trajectories from birth to age 18 months (B = -0.40; 95% CI, -0.63 to -0.16), a lower odds of macrosomia (aOR = 0.35; 95% CI, 0.15-0.80), and a lower odds of overweight at ages 12 (aOR = 0.28; 95% CI, 0.10-0.74) and 18 months (aOR = 0.35; 95% CI, 0.14-0.89). Prenatal social support was not significantly associated with overweight status at age 6 months. CONCLUSIONS Prenatal social support may protect against excessive infant adiposity and overweight in low-income, Hispanic families. Further research is needed to elucidate mechanisms underlying these associations and to inform preventive strategies beginning in pregnancy.
Collapse
Affiliation(s)
- Michelle Katzow
- Division of General Pediatrics, Department of Pediatrics, New York University School of Medicine, New York, NY.
| | - Mary Jo Messito
- Division of General Pediatrics, Department of Pediatrics, New York University School of Medicine, New York, NY
| | - Alan L Mendelsohn
- Division of Developmental-Behavioral Pediatrics, Department of Pediatrics, New York University School of Medicine, New York, NY
| | - Marc A Scott
- Department of Applied Statistics, Social Science, and Humanities, New York University Steinhardt School of Culture, Education, and Human Development, New York, NY
| | - Rachel S Gross
- Division of General Pediatrics, Department of Pediatrics, New York University School of Medicine, New York, NY
| |
Collapse
|
9
|
Komulainen K, Mittleman MA, Jokela M, Laitinen TT, Pahkala K, Elovainio M, Juonala M, Tammelin T, Kähönen M, Raitakari O, Keltikangas-Järvinen L, Pulkki-Råback L. Socioeconomic position and intergenerational associations of ideal health behaviors. Eur J Prev Cardiol 2019; 26:1605-1612. [DOI: 10.1177/2047487319850959] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Background Promoting ideal cardiovascular health behaviors is an objective of the American Heart Association 2020 goals. We hypothesized that ideal health behaviors of parents are associated with health behaviors of their adult offspring, and that higher socioeconomic position in either generation enhances intergenerational associations of ideal health behaviors. Design Prospective cohort study. Methods We included 1856 Young Finns Study participants who had repeated measurements of socioeconomic position (education, income, occupation), smoking status, body mass index, physical activity and diet from 2001, 2007 and 2011, and data on parental socioeconomic position and health behaviors from 1980. We calculated the total number of ideal behaviors in both generations using American Heart Association definitions. Intergenerational associations were examined using ordinal and linear multilevel regression with random intercepts, in which each participant contributed one, two or three measurements of adult health behaviors (2001, 2007, 2011). All analyses were adjusted for offspring sex, birth year, age, parental education and single parenthood. Results Overall, parental ideal health behaviors were associated with ideal behaviors among offspring (odds ratio (OR) 1.28, 95% confidence interval 1.17, 1.39). Furthermore, ORs for these intergenerational associations were greater among offspring whose parents or who themselves had higher educational attainment (OR 1.56 for high vs. OR 1.19 for low parental education; P = 0.01 for interaction, OR 1.32 for high vs. OR 1.04 for low offspring education; P = 0.02 for interaction). Similar trends were seen with parental income and offspring occupation. Results from linear regression analyses were similar. Conclusions These prospective data suggest higher socioeconomic position in parents or in their adult offspring strengthens the intergenerational continuum of ideal cardiovascular health behaviors.
Collapse
Affiliation(s)
- Kaisla Komulainen
- Department of Psychology and Logopedics, University of Helsinki, Finland
- Department of Epidemiology, Harvard TH Chan School of Public Health, USA
| | - Murray A Mittleman
- Department of Epidemiology, Harvard TH Chan School of Public Health, USA
- Cardiovascular Epidemiology Research Unit, Division of Cardiology, Beth Israel Deaconess Medical Center, USA
| | - Markus Jokela
- Department of Psychology and Logopedics, University of Helsinki, Finland
| | - Tomi T Laitinen
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Finland
- Department of Physical Activity and Health, Sports & Exercise Medicine Unit, Paavo Nurmi Centre, University of Turku, Finland
| | - Katja Pahkala
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Finland
- Department of Physical Activity and Health, Sports & Exercise Medicine Unit, Paavo Nurmi Centre, University of Turku, Finland
| | - Marko Elovainio
- Department of Psychology and Logopedics, University of Helsinki, Finland
- Department of Health Services Research, National Institute for Health and Welfare, Finland
| | - Markus Juonala
- Department of Medicine, University of Turku, Finland
- Division of Medicine, Turku University Hospital, Finland
- Murdoch Children's Research Institute, Australia
| | - Tuija Tammelin
- LIKES Research Center for Physical Activity and Health, Finland
| | - Mika Kähönen
- Department of Clinical Physiology, Tampere University Hospital, Finland
- Faculty of Medicine and Health Technology, Tampere University, Finland
| | - Olli Raitakari
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Finland
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Finland
| | | | | |
Collapse
|
10
|
Abstract
OBJECTIVE Little is known about the impact of the home environment on biomarkers of obesity, such as adipokines, in children. In this study, we examined the relationship of maternal depressive symptoms and potentially protective social factors, including maternal support and the home learning environment, with body mass index and adipokines. METHODS Data were obtained from 326 Mexican American participants from the Center for the Health Assessment of Mothers and Children of Salinas cohort. Plasma adipokine levels were assessed in 326 children by enzyme-linked immunoassay at birth or ages 5, 9, or 14 years. Maternal depressive symptoms were evaluated using the Center for Epidemiological Studies Depression Scale when children were 1, 3.5, 7, and 9 years old; social support was assessed by the Duke-University of North Carolina Questionnaire at ages 1 and 5 years; and home learning environment by the Home Observation for the Measurement of the Environment (HOME) at ages of 6 months and 1, 2, 3.5, 7, 9, and 10.5 years. RESULTS Age was significantly associated with adiponectin (B = -5.0, SE = 0.2) and leptin (B = 0.01, SE = 0.003) levels. Individual time point analyses identified significant positive associations of HOME scores in childhood with adiponectin at ages 9 years (HOME score; age 3.5 years: B = 0.9, p = .04) and 14 years (HOME score; age 7 years: B = 0.6, p = .02, age 9 years: B = 0.6, p = .05, age 10.5 years: B = 0.5, p = .04). We observed significant relationships of maternal depressive symptoms at age 9 years with adiponectin and body mass index z-score at age 14 years (B = -0.2, p = .003 and B = 0.02, p = .002, resp.), which were confirmed in longitudinal models. CONCLUSIONS This study adds new evidence that adverse and protective aspects of the home environment could lead to altered obesity status in children.
Collapse
|
11
|
Ashe KM, Lapane KL. Food Insecurity and Obesity: Exploring the Role of Social Support. J Womens Health (Larchmt) 2018; 27:651-658. [PMID: 29182494 DOI: 10.1089/jwh.2017.6454] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Women are disproportionately affected by both obesity and food insecurity. Food insecurity occurs when there is limited ability to acquire adequate foods. It is unknown whether social support can reduce the effect of food insecurity on increased obesity. This study seeks to determine whether social support modifies the relationship between food insecurity and obesity. METHODS We conducted a cross-sectional study in a nationally representative sample of 4672 women aged ≥40 years using National Health and Nutrition Examination Survey (2003-2008). Individual food insecurity was assessed based on the U.S. Department of Agriculture 18-item validated household food security scale. Women were categorized as fully food secure (0 affirmative responses) or food insecure (1-10 affirmative responses). Obesity was defined as body mass index ≥30 kg/m2. Outcomes were analyzed by multivariable logistic regression. RESULTS Fourteen percent were food insecure. Women with food insecurity had 1.4 the odds of obesity as those who were fully food secure, adjusting for race/ethnicity and health status (95% confidence interval [CI] 1.22-1.62). Food-insecure women were 80% less likely to report strong social support than women who were fully food secure (95% CI 0.11-0.36). Social support as measured in this study did not modify the association between food insecurity and obesity. CONCLUSIONS Women reporting food insecurity reported lower levels of social support and were more likely to experience obesity. Interventions to reduce obesity in women who are food insecure must consider the limited resources available to these women.
Collapse
Affiliation(s)
- Karen M Ashe
- 1 Division of Preventive and Behavioral Medicine, Department of Medicine, University of Massachusetts Medical School , Worcester, MA
| | - Kate L Lapane
- 2 Quantitative Health Sciences, University of Massachusetts Medical School , Worcester, MA
| |
Collapse
|
12
|
Serlachius A, Pulkki-Råback L, Juonala M, Sabin M, Lehtimäki T, Raitakari O, Elovainio M. Does high optimism protect against the inter-generational transmission of high BMI? The Cardiovascular Risk in Young Finns Study. J Psychosom Res 2017; 100:61-64. [PMID: 28789794 DOI: 10.1016/j.jpsychores.2017.07.006] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/25/2017] [Revised: 06/27/2017] [Accepted: 07/08/2017] [Indexed: 11/15/2022]
Abstract
OBJECTIVE The transmission of overweight from one generation to the next is well established, however little is known about what psychosocial factors may protect against this familial risk. The aim of this study was to examine whether optimism plays a role in the intergenerational transmission of obesity. METHODS Our sample included 1043 participants from the prospective Cardiovascular Risk in Young FINNS Study. Optimism was measured in early adulthood (2001) when the cohort was aged 24-39years. BMI was measured in 2001 (baseline) and 2012 when they were aged 35-50years. Parental BMI was measured in 1980. Hierarchical linear regression and logistic regression were used to examine the association between optimism and future BMI/obesity, and whether an interaction existed between optimism and parental BMI when predicting BMI/obesity 11years later. RESULTS High optimism in young adulthood demonstrated a negative relationship with high BMI in mid-adulthood, but only in women (β=-0.127, p=0.001). The optimism×maternal BMI interaction term was a significant predictor of future BMI in women (β=-0.588, p=0.036). The logistic regression results confirmed that high optimism predicted reduced obesity in women (OR=0.68, 95% CI, 0.55-0.86), however the optimism × maternal obesity interaction term was not a significant predictor (OR=0.50, 95% CI, 0.10-2.48). CONCLUSIONS Our findings supported our hypothesis that high optimism mitigated the intergenerational transmission of high BMI, but only in women. These findings also provided evidence that positive psychosocial factors such as optimism are associated with long-term protective effects on BMI in women.
Collapse
Affiliation(s)
- Anna Serlachius
- The Department of Psychological Medicine, The University of Auckland, New Zealand; Department of Psychology and Logopedics, The University of Helsinki, Finland.
| | - Laura Pulkki-Råback
- Department of Psychology and Logopedics, The University of Helsinki, Finland; The Collegium for Advanced Studies, University of Helsinki, Finland
| | - Markus Juonala
- Department of Medicine, University of Turku, Finland; The Division of Medicine, Turku University Hospital, Turku, Finland
| | - Matthew Sabin
- The Department of Paediatrics, University of Melbourne, Australia; Murdoch Childrens Research Institute, Royal Children's Hospital, Melbourne, Australia
| | - Terho Lehtimäki
- The Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland; Faculty of Medicine and Life Sciences, University of Tampere, Tampere, Finland
| | - Olli Raitakari
- The Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland; Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
| | - Marko Elovainio
- Department of Psychology and Logopedics, The University of Helsinki, Finland; Institute for Health and Welfare, Helsinki, Finland
| |
Collapse
|