Article

The impact of diabetes education and peer support upon weight and glycemic control of elderly persons with noninsulin dependent diabetes mellitus (NIDDM).

American Journal of Public Health (Impact Factor: 4.23). 06/1987; 77(5):634-5. DOI: 10.2105/AJPH.77.5.634
Source: PubMed

ABSTRACT We assessed diabetes education and peer support interventions as facilitators of weight loss and glycemic control in a community sample of 79 elderly persons with noninsulin-dependent diabetes mellitus (NIDDM). Different groups received: education only, education and peer support, and no treatment. Peer support was higher in groups where it was actively facilitated. Weight loss and reduction in level of glycemic control occurred within groups receiving both diabetes education and peer support.

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Available from: Clara C. Pratt, Jun 21, 2014
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    ABSTRACT: Elder population is becoming proportionally a larger segment of the total population and among their health problems, diabetes mellitus (DM) is one of their main causes of death and disability. In DM, self-management is the basis for a better control, which is why public policy makers and healthcare providers should have available analytic tools that allow them to discriminate among the best self-care interventions in diabetes for older patients. Even though there are several meta-analyses already that offer this kind of review, this article proposes the use of Mechner’s behavioral contingencies language to compare different approaches. Three interventions were described with this notation and even though there were some limitations for this analysis due to the fact that some results were not comparable or not available in the original papers, this formal symbolic language demonstrated to be useful for making analytical comparisons visually accessible, providing a better understanding of the contingencies that are at play in the situation and giving the advantage of cutting across all natural languages.
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Elder population is becoming proportionally a larger segment of the total population and among their health problems, diabetes mellitus (DM) is one of their main causes of death and disability. In DM, self-management is the basis for a better control, which is why public policy makers and healthcare providers should have available analytic tools that allow them to discriminate among the best self-care interventions in diabetes for older patients. Even though there are several meta-analyses already that offer this kind of review, this article proposes the use of Mechner’s behavioral contingencies language to compare different approaches. Three interventions were described with this notation and even though there were some limitations for this analysis due to the fact that some results were not comparable or not available in the original papers, this formal symbolic language demonstrated to be useful for making analytical comparisons visually accessible, providing a better understanding of the contingencies that are at play in the situation and giving the advantage of cutting across all natural languages.
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Elder population is becoming proportionally a larger segment of the total population and among their health problems, diabetes mellitus (DM) is one of their main causes of death and disability. In DM, self-management is the basis for a better control, which is why public policy makers and healthcare providers should have available analytic tools that allow them to discriminate among the best self-care interventions in diabetes for older patients. Even though there are several meta-analyses already that offer this kind of review, this article proposes the use of Mechner’s behavioral contingencies language to compare different approaches. Three interventions were described with this notation and even though there were some limitations for this analysis due to the fact that some results were not comparable or not available in the original papers, this formal symbolic language demonstrated to be useful for making analytical comparisons visually accessible, providing a better understanding of the contingencies that are at play in the situation and giving the advantage of cutting across all natural languages.