Motivational Interviewing (MI) can effectively stimulate motivation for health behavior change, but the active ingredients of MI are not well known. To help clinicians further stimulate motivation, they need to know the active ingredients of MI. A psychometrically sound instrument is required to identify those ingredients. The purpose of this study is to describe and evaluate the capability of existing instruments to reliably measure one or more potential active ingredients in the MI process between clients and MI-therapists.
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In this article, we show how elderly clients in Dutch dietary consultations adjust dietitians’ history taking questions that suggest a cause for weight loss. Using conversation analysis and discursive psychology, we analyzed the history taking phase of recorded primary care conversations of 7 dietitians with 17 clients with malnutrition (risk). In response to the dietitian's history taking question, clients repeatedly present: 1) a problem in which weight loss is presented as unexpected and a conscious reduction in dietary intake is (therefore) not an issue, 2) a problem for which they cannot be held responsible, but which at the same time acts as a reason for reduced dietary intake, 3) a problem in which higher dietary intakes have been recommended by a third party that have proved impracticable. In these adjusted diagnostic explanations, clients emphasize the multidimensionality of their weight loss, which concurrently provides an explanation as to why they cannot be (solely) held responsible for their reduced dietary intake. Clients’ adjusted diagnostic explanations make relevant an evaluation by the dietitian. Dietitians’ subsequent lack of uptake leads to clients recycling diagnostic explanations to still get a response from the dietitian. Our findings offer insight into improving client-centered counseling by paying attention to clients’ adjusted diagnostic explanations.
Digitally supported dietary counselling may be helpful in increasing the protein intake in combined exercise and nutritional interventions in community-dwelling older adults. To study the effect of this approach, 212 older adults (72.2 ± 6.3 years) were randomised in three groups: control, exercise, or exercise plus dietary counselling. The dietary counselling during the 6-month intervention was a blended approach of face-to-face contacts and videoconferencing, and it was discontinued for a 6-month follow-up. Dietary protein intake, sources, product groups, resulting amino acid intake, and intake per eating occasion were assessed by a 3-day dietary record. The dietary counselling group was able to increase the protein intake by 32% at 6 months, and the intake remained 16% increased at 12 months. Protein intake mainly consisted of animal protein sources: dairy products, followed by fish and meat. This resulted in significantly more intake of essential amino acids, including leucine. The protein intake was distributed evenly over the day, resulting in more meals that reached the protein and leucine targets. Digitally supported dietary counselling was effective in increasing protein intake both per meal and per day in a lifestyle intervention in community-dwelling older adults. This was predominantly achieved by consuming more animal protein sources, particularly dairy products, and especially during breakfast and lunch.
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