Dataset Information

Beyond the Nuclear Family: Children's Social Networks and Depressive Symptomology.

ABSTRACT: This study identified social network profiles among children, determined whether profiles vary across sociodemographic characteristics, and investigated links between childhood profiles and depressive symptomology using three waves of data spanning 23 years (Wave 1, 1992 Metro-Detroit representative sample: n = 193, ages 8-12). Latent profile analysis revealed three profiles: Close Family (22%), Varied Family (57%), Friend and Family (21%). White children were more likely than Black children to be in the Friend and Family profile. Children in the Close Family profile reported the lowest levels of depressive symptomology in childhood, but exhibited the steepest increase over time. Findings suggest that close, family centric networks are protective in childhood, but less so as children develop into adulthood, highlighting the importance of considering developmental perspectives.

SUBMITTER: Manalel JA

PROVIDER: S-EPMC7108968 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature

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Beyond the Nuclear Family: Children's Social Networks and Depressive Symptomology.

Manalel Jasmine A JA Antonucci Toni C TC

Child development 20191001 4

This study identified social network profiles among children, determined whether profiles vary across sociodemographic characteristics, and investigated links between childhood profiles and depressive symptomology using three waves of data spanning 23 years (Wave 1, 1992 Metro-Detroit representative sample: n = 193, ages 8-12). Latent profile analysis revealed three profiles: Close Family (22%), Varied Family (57%), Friend and Family (21%). White children were more likely than Black children to ...[more]

PMID: 31573692

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Project description:Note: Data Use Restrictions: <ul> <li>The data must only be used for genetic research projects solely in the area of health-related social-network research.</li> </ul> This study compiles detailed information on family and social ties linked to participants in the offspring cohort of the Framingham Heart Study. The investigators took computerized information from self-report data used by the FHS for over 30 years to facilitate health exam scheduling. These tracking sheets asked participants to identify people close to them, which were assumed by the investigators to indicate a social tie. Individuals are listed as "egos" (if the ties are from their perspective) and/or "alters" (if they are linked as a friend or family members to one of the other participants). All egos were FHS offspring participants while alters could be FHS participants in any cohort or non-participants. This information was combined with internal FHS pedigree data on family ties to list family member alters (as well as the nature of their relationship). The resultant dataset therefore includes each ego-alter tie, the nature of their relationship and the start and end dates for their ties for each of seven waves for the offspring study. Due to privacy concerns, all exam dates for individuals are listed relative to the initial FHS exam date. The study investigators chose a random, confidential date, to which all initial exam dates are linked (by number of months from random date to initial exam date). With this information, researchers can have access to the temporal relationships among participants' exam dates while remaining unaware of the actual exam dates for individual participants. During each clinic exam cycle, the participants undergo a detailed examination including physical examination, medical history, laboratory testing, and electrocardiogram. Over the years, other tests (that may not be performed at every exam cycle) have included pulmonary function, lifestyle, physical function, cognitive function questionnaires, and various noninvasive cardiovascular tests including echocardiograms. This study involves phenotypic data from these exams including (when available) basic body measurements (height, weight, blood pressure), laboratory values (blood sugar levels, LDL levels), information on smoking and alcohol use, and tests of depression and cognitive functioning. Important links to apply for individual-level data <ol> <li><a href="http://dbgap.ncbi.nlm.nih.gov/aa/wga.cgi?view_pdf&stacc=phs000153.v3.p3" target="_blank">Data Use Certification Requirements (DUC)</a></li> <li><a href="GetPdf.cgi?id=phd001183.1" target="_blank">Instructions to Request Authorized Access</a></li> <li><a href="http://view.ncbi.nlm.nih.gov/dbgap-controlled" target="_blank">Apply here for controlled access to individual level data</a></li> <li><a href="GetPdf.cgi?id=phd000317" target="_blank">Participant Protection Policy FAQ</a></li> </ol> In 1948, researchers recruited men and women from the town of Framingham, Massachusetts, beginning the first round of extensive physical examinations and lifestyle interviews that would later be analyzed for common patterns related to CVD development. Initially, the Framingham Heart Study enrolled 5,209 men and women from the Framingham area who were between the ages of 28 and 62 years. Beginning in 1971, the Framingham Heart Study enrolled 5,124 men and women, who were either offspring of the original cohort or spouses of those offspring. In 2002, 4,095 third generation participants (men and women) were enrolled.

Project description:ObjectiveTo examine the relationship between diet quality and depressive symptomology amongst a community-based sample of Fijian adolescents.MethodsParticipants included 7,237 adolescents (52.6% girls; mean age 15.6 years) at baseline (2005) and 2,948 (56% girls; mean age 17.4 years) at follow-up (2007/2008), from the Pacific Obesity Prevention in Communities Project. Intervention schools (n = 7) were selected from Nasinu, near Suva on the main Fijian island Viti Levu, and comparison schools (n = 11) were chosen from towns on the opposite, west side of the island. A dietary questionnaire was used to measure diet quality. Factor analysis clustered dietary variables into two unique and independent factors, referred to as healthy diet quality and unhealthy diet quality. Depressive symptomology was assessed via the emotional subscale of the Paediatric Quality of Life Inventory. Both measures were self-reported and self-administered. Multiple linear regression was used to test cross-sectional associations (at baseline and follow-up) between diet quality and depressive symptomology. Variables controlled for included gender, age, ethnicity, study condition, BMI-z scores, and physical activity.FindingsStrong, positive dose-response associations between healthy diet and high emotional scores (lower depressive symptomology) were found in cross-sectional analyses at baseline and follow-up, among boys and girls. No association was found between emotional health and unhealthy diet.ConclusionsThis study suggests that cross-sectional relationships exist between a high quality diet during adolescence and less depressive symptoms, however more evidence is required to determine if these two variables are linked causally. Trial population health strategies that use dietary interventions as a mechanism for mental health promotion provide an opportunity to further test these associations. If this is indeed a true relationship, these forms of interventions have the potential to be inexpensive and have substantial reach, especially in Low and Middle Income Countries.Trial registrationAustralian New Zealand Clinical Trials Registry ACTRN12608000345381.

Dataset Information

Beyond the Nuclear Family: Children's Social Networks and Depressive Symptomology.

Publications

Beyond the Nuclear Family: Children's Social Networks and Depressive Symptomology.

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