These findings suggest that ASD diagnosis is not significantly associated with obesity status after adjustment for possible secondary conditions and medication use. Decision makers, clinicians, and researchers developing interventions for children with ASDs should consider how secondary conditions may impact obesity and related activities.
Objective: To conduct a systematic review of the literature examining the relationship between family meals and adolescent health risk outcomes.
Methods:We performed a systematic search of original empirical studies published between January 1990 and September 2013. Based on data from selected studies, we conducted logistic regression models to examine the correlates of reporting a protective association between frequent family meals and adolescent outcomes.Results: Of the 254 analyses from 26 selected studies, most reported a significant association between family meals and the adolescent risk outcome-of-interest. However, model analyses which controlled for family connectedness variables, or used advanced empirical methods to account for family-level confounders, were less likely than unadjusted models to report significant relationships.
Conclusions:The type of analysis conducted was significantly associated with the likelihood of finding a protective relationship between family meals and the adolescent outcome-of-interest, yet very few studies are using such methods in the literature.
US adolescents have wellness scores towards the upper or higher end of our scale. Several adolescent and family characteristics were associated with either lower overall wellness and/or lower wellness on multiple subdimensions. Assessing wellness during critical developmental periods of adolescence is a first step towards promoting behaviours that support increased wellness into adulthood.
To identify differences in groups of children with special healthcare needs (CSHCN) identified as underinsured by two alternate definitions and discuss implications for policy decisions based on using one definition over another. Secondary data from the National Survey of CSHCN 2005/2006 were analyzed. Only CSHCN who were continuously-insured for 12 months were included in analyses. We identified groups of underinsured CSHCN using two general definitions ("economic" and "attitudinal") and three mutually-exclusive groups (identified by both definitions, identified by attitudinal but not economic, and identified by economic but not attitudinal). Key variables included demographics and condition characteristics. Different underinsurance rates were identified [attitudinal = 30.9 % (n = 11,470); economic = 22.7 % (n = 8,447)] with fair agreement by kappa score (κ = 0.3194; Z = 65.91; p > 0.0001). Differences across mutually-exclusive groups included family income ≥400 % FPL (attitudinal only = 34.2 %, economic only = 16.3 %, both = 18.4 %; p < 0.001) and high severity (attitudinal only = 42.5 %, economic only = 68.5 %, both = 69.9 %; p < 0.001). CSHCN who needed equipment/supplies/home health (OR = 1.31, p < 0.001) had increased odds of being identified as underinsured by the economic, but not attitudinal definition. CSHCN with private insurance had increased odds of being identified by attitudinal only or both definitions, but not by economic only (AO: OR = 1.41, p < 0.001; BOTH: OR = 2.36, p < 0.001). Despite overlap between the two definitions, choosing either one excludes some CSHCN, potentially underestimating the extent of underinsurance and masking important findings related to specific conditions characteristics. A definition that comprehensively identifies and describes underinsurance is vital to translating health insurance coverage expansion into benefit packages that meet complex health and service needs.
This study did not find strong evidence of a protective relationship between family activities and school problems. Therefore, it suggested that programme and policymakers be cautious in overstating the importance of family activities in preventing adolescent risk outcomes until true causal relationships can be determined.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.