Sentence examples for illness type from inspiring English sources

Exact(41)

In both fixed and random effect models, ill parents' age, illness type and cancer study type were significant moderators, revealing that effects for total problem behavior were larger in cancer studies, in samples including younger ill parents and in studies with more variability in diagnosis.

Such children often become overweight adults, leaving themselves especially susceptible to heart illness, Type 2 diabetes, strokes, and some forms of cancer.

Joshua is still learning to cope with his illness, Type 1 diabetes, but he is an expert on recognizing the symptoms of a diabetic episode.

The mean (+/- SD) duration of mechanical ventilation was shorter in the postimplementation group (17.9 +/- 31.3 vs 11.2 +/- 19.5 days, respectively; p = 0.11), and this difference was statistically significant after adjusting for age, gender, severity of illness, type of admission, baseline nutritional status, and type of nutritional support (p = 0.03).

Clarkin's inspiration for the development of KORE was brought on by her dad's illness, Type two Diabetes, which cost him his leg - and ultimately his life.

Second, the lack of information on health status and illness type and seriousness prevents a deeper understanding of the magnitude and heterogeneity of the effect associated with both demand and supply-side determinants of health care use.

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Similar(19)

Note: The above percentages for illness types were calculated for all groups together.

18 groups from 14 villages provided 8 or more names of illnesses; only these groups were retained for the analysis of illness types.

Case vignettes will delineate prototypes to examine the possibility of different constellations of illness, types of vulnerability and different patterns of responsiveness/non-responsiveness.

Descriptive statistics of caregivers' sociodemographic variables were calculated using means and standard deviations (SD) for quantitative data, and frequencies and percentages for categorical data across the three illness types.

Because of its flexibility, the framework can be adapted to different regions (using local population data), different illness types (targeting different risk factors), and local intervention capacities (local adaptations of best practice).

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