| Literature DB >> 26759627 |
Agnieszka Bartoszek1, Renata Domżał-Drzewicka1, Hanna Kachaniuk1, Katarzyna Kocka1, Katarzyna Muzyczka1.
Abstract
INTRODUCTION: The incidence of malnutrition increases together with the number of chronic diseases and medications taken daily. There are also other factors causing changes in the nutrition of the elderly, raising the risk of undernourishment. Such factors include difficulties with daily shopping, meal preparation and other everyday activities, hindering access to food with proper quantitative and qualitative properties. The nutritional state of the elderly is influenced not only by somatic disorders, but also by mental disorders such as depression. AIM: To define the relationship between the nutritional state of the elderly living in their home environment and the incidence of depression.Entities:
Keywords: depression symptoms; senior; state of nutrition
Year: 2015 PMID: 26759627 PMCID: PMC4697030 DOI: 10.5114/pg.2015.49476
Source DB: PubMed Journal: Prz Gastroenterol ISSN: 1895-5770
The assessment of the surveyed people's nutritional state and the presence of depression symptoms
| Parameter | Severe depression | Moderate depression | Normal score | χ2 | Value of | |
|---|---|---|---|---|---|---|
| Malnutrition | 6 | 2 | 1 | 27.46016 | 0.00002 | |
| % | 66.7 | 22.2 | 11.1 | |||
| Malnutrition risk |
| 13 | 14 | 15 | ||
| % | 31.0 | 33.3 | 35.7 | |||
| Proper nutritional state |
| 4 | 17 | 44 | ||
| % | 6.2 | 26.2 | 67.7 |
χ2 – the Chi-square test, p – significance level.
The average values obtained by the surveyed in the nutrition (MNA) and depression (GDS) assessment
| Parameter | Descriptive statistics | ||||
|---|---|---|---|---|---|
| No. of valid | Average | Minimum | Maximum | SD | |
| MNA | 116 | 23.15517 | 8.500000 | 29.00000 | 4.242853 |
| GDS | 116 | 9.87069 | 1.000000 | 61.00000 | 6.293586 |
The evaluation of the state of nutrition of elderly people and the accepted variables
| Parameter | Malnutrition | Malnutrition risk | Proper nutritional state | χ2 | Value of | ||||
|---|---|---|---|---|---|---|---|---|---|
| % | % | % | |||||||
| Gender | Women | 5 | 7.5 | 28 | 41.8 | 34 | 50.8 | 2.1755 | 0.33244 |
| Men | 4 | 8.2 | 14 | 28.6 | 31 | 63.3 | |||
| Age [years] | 65–74 | 4 | 5.1 | 28 | 35.9 | 46 | 59.0 | 2.496963 | 0.28694 |
| ≥ 75 | 5 | 13.2 | 14 | 36.8 | 19 | 50.0 | |||
| Place of residence | Rural areas | 6 | 7.9 | 26 | 34.2 | 44 | 57.9 | 0.3839830 | 0.82531 |
| Urban areas | 3 | 7.5 | 16 | 40.0 | 21 | 52.5 | |||
| Family situation | Living alone | 2 | 7.7 | 13 | 50.0 | 11 | 42.3 | 2.887900 | 0.23600 |
| Living with family | 7 | 7.8 | 29 | 32.2 | 54 | 60.0 | |||
| Body mass index | Underweight | 8 | 72.7 | 3 | 27.3 | 0 | 0.0 | 125.3439 | < 0.00001 |
| Normal | 1 | 2.0 | 36 | 70.6 | 14 | 27.5 | |||
| Overweight | 0 | 0.0 | 3 | 8.3 | 33 | 91.7 | |||
| Obesity | 0 | 0.0 | 0 | 0.0 | 18 | 100.0 | |||
χ2 – the Chi-square test, p – significance level.