Telemedicine and mobile health technology may be effective in managing disease activity and improving quality of life in digestive diseases. Future studies should explore both gastrointestinal and gastroesophageal diseases using these types of interventions.
The purpose of this study was to examine the relationship between parental BMI and the family environment and determine if differences exist in child diet and physical activity related parenting behaviors by parental BMI in a community sample of families recruited through elementary schools in a local school district. We found an association between parental BMI category and family nutrition and physical activity (FNPA) score. Families with an underweight or normal weight parent had a larger proportion (64.3%) of high (indicating a healthier family environment) FNPA scores and families with an overweight or obese parent had a smaller proportion (45.2%) of high FNPA scores (χ = 5.247, P = 0.022). Families with a parent who was overweight or obese had 2.18 times the odds (95% CI 1.11-4.27) of being in the low FNPA ("less healthy" environment) group. Further, underweight/normal weight parents reported higher levels of monitoring of child diet (Z = -3.652, P< 0.0001), higher levels of parental monitoring of child physical activity (Z = -3.471, p < 0.001), and higher levels of parental limit setting related to child sedentary activities compared to overweight/obese parents (Z = -2.443, P = 0.01). Parent BMI and parenting behaviors are known to have a major impact on childhood obesity. In this study, lower parent BMI and authoritative parenting behaviors were associated with a less obesogenic home environment and a positive parenting style related to child eating and physical activity behaviors.
BackgroundThe Stopping Elderly Accidents, Deaths and Injuries (STEADI) screening algorithm aligns with current fall prevention guidelines and is easy to administer within clinical practice. However, the stratification into low, moderate and high risk categories limits the meaningful interpretation of the fall-related risk factors.MethodsBaseline measures from a modified STEADI were used to predict self-reported falls over 4 years in 3170 respondents who participated in the 2011–2015 National Health and Aging Trends Study. A point method was then applied to find coefficient-based integers and 4-year fall risk estimates from the predictive model. Sensitivity and specificity estimates from the point method and the combined moderate and high fall risk STEADI categories were compared.ResultsThere were 886 (27.95%) and 387 (12.21%) respondents who were classified as moderate and high risk, respectively, when applying the stratification method. Falls in the past year (OR: 2.16; 95% CI: 1.61 to 2.89), multiple falls (OR: 2.94; 95% CI: 1.89 to 4.55) and a fear of falling (OR: 1.77; 95% CI: 1.45 to 2.16) were among the significant predictors of 4-year falls in older adults. The point method revealed integers that ranged from 0 (risk: 27.21%) to 44 (risk: 99.71%) and a score of 10 points had comparable discriminatory capacity to the combined moderate and high STEADI categories.ConclusionCoefficient-based integers and their risk estimates can provide an alternative interpretation of a predictive model that may be useful in determining fall risk within a clinical setting, tracking changes longitudinally and defining the effectiveness of an intervention.
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