How is the risk of undernutrition associated with cardiovascular disease among individuals of advanced age?

Teh, Ruth; Wham, Carol; Kerse, Ngaire; Robinson, Elizabeth; Doughty, Robert N.

doi:10.1007/s12603-010-0120-z

Cited by 5 publications

(4 citation statements)

References 42 publications

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“…This finding is confirmed in other studies showing that malnourished residents are more care dependent. Other studies confirm the present findings on the relationship between malnutrition and CVD ( 49 , 50 ) . Furthermore, the remaining confounders found in the GEE analyses have also been indicated by other studies.…”

Section: Discussionsupporting

confidence: 93%

Which characteristics of nursing home residents influence differences in malnutrition prevalence? An international comparison of The Netherlands, Germany and Austria

et al. 2013

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Prevalence rates of malnutrition vary considerably internationally, partly due to differences in measurement methodology and instruments. In the present study, the same measurement methodology and instruments were used in The Netherlands, Germany and Austria. The aim of the present study was to investigate whether resident characteristics influence possible differences in malnutrition prevalence between countries. The study followed a cross-sectional, multi-centre design that measured malnutrition in nursing home residents from The Netherlands, Germany and Austria. Resident data were gathered using a standardised questionnaire. Malnutrition was operationalised using BMI, unintentional weight loss and nutritional intake. Data were analysed using an association model. The prevalence rates of malnutrition in The Netherlands, Germany and Austria were 18·3, 20·1 and 22·5 %, respectively. The multivariate generalised estimating equation (GEE) logistic regression analysis showed that sex, age, care dependency, the mean number of diseases and some specific diseases were influencing factors for whether the resident was malnourished or not. The OR of malnutrition in the three countries declined after including the influencing factors resulting from the multivariate GEE analysis. The present study reveals that differences in the prevalence rates of malnutrition in nursing homes in The Netherlands, Germany and Austria are influenced by different resident characteristics. Since other country-related factors could also play an important role in influencing differences in the prevalence rates of malnutrition between the countries (structural and process factors of malnutrition care policy). We recommend the investigation of these factors in future studies.

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Section: Discussionsupporting

confidence: 93%

Which characteristics of nursing home residents influence differences in malnutrition prevalence? An international comparison of The Netherlands, Germany and Austria

et al. 2013

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“…Donini et al . as well as other authors confirmed in their systematic literature review that age‐related decline in stature induces a BMI increase of 1.5 kg/m 2 in men and 2.5 kg/m 2 in women, despite the minimal changes in body weight . In the present study, more than half the participants overestimated their height, with height being over‐reported by 1 ± 3 cm.…”

Section: Discussionsupporting

confidence: 83%

Accuracy of self‐reported and measured anthropometric data in the inpatient population

Babiarczyk

Sternal

2014

Int J of Nursing Practice

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Self-reported body mass index (BMI) is commonly used to assess nutritional status. The aim of the study was to assess the accuracy of self-reported and measured data obtained from the inpatient population. A total of 296 individuals admitted to five hospital wards were included in the study. Patients provided details of their height and weight, and measurements of height and weight were subsequently taken. BMI measurements were calculated from both the self-reported and the measured data. In general, the study participants overestimated their height and underestimated their weight. Older people and women were significantly more likely to overestimate their height, whereas better educated people were more likely to underestimate their weight. Inaccurate height and weight reporting led to BMI values being underestimated. The findings of this study support previously published research questioning the accuracy of self-reported height and weight measurements.

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“…CVD was predictive of nutrition risk. in nZ a mild relationship between nutrition risk and CVD in older people has previously been identified (31) and further research is needed to establish the causes. in nZ a mild relationship between nutrition risk and CVD in older people has previously been identified (31) and further research is needed to establish the causes.…”

Section: Discussionmentioning

confidence: 99%

The BRIGHT Trial: What are the factors associated with nutrition risk?

Wham

McLean

Teh

et al. 2014

The Journal of nutrition, health and aging

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How is the risk of undernutrition associated with cardiovascular disease among individuals of advanced age?

Cited by 5 publications

References 42 publications

Which characteristics of nursing home residents influence differences in malnutrition prevalence? An international comparison of The Netherlands, Germany and Austria

Which characteristics of nursing home residents influence differences in malnutrition prevalence? An international comparison of The Netherlands, Germany and Austria

Accuracy of self‐reported and measured anthropometric data in the inpatient population

The BRIGHT Trial: What are the factors associated with nutrition risk?

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