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Serum biomarkers associated with malnutrition and nutritional risk in elderly primary care patients: A cross-sectional study from Bosnia and Herzegovina Cover

Serum biomarkers associated with malnutrition and nutritional risk in elderly primary care patients: A cross-sectional study from Bosnia and Herzegovina

Open Access
|Dec 2020

Figures & Tables

Table 1

Differences in anthropometric measurements, biomedical analyses and functional parameters in regard to categories of nutritional status per MNA(a) and SCREEN II(b).

Malnutrition/at-risk (N=259)Normal nutrition (N=187)P-value*High risk (N=394)Moderate/low risk (N=52)P-value*
Albumin, g/l44.5 (4.1)45.8 (5.9)0.00445.2 (5.6)45.2 (2.6)0.521
Ferritin, ng/ml157.1 (127.1)153.6 (138.5)0.779156.3 (135.8)144.8 (118.7)0.507
Total cholesterol, mmol/l5.0 (1.2)5.4 (1.7)<0.0015.2 (1.2)5.6 (1)0.035
Haemoglobin, g/l130 (18.9)136.7 (14.5)0.001132.8 (17.5)140.3 (11.0)0.002
Waist circumference (cm)91.9 (13.1)99.0 (12.4)<0.00196.0 (13.7)95.3 (8.5)0.718
Mid-upper arm circumference (cm)25.9 (3.7)27.6 (3.3)<0.00126.8 (3.7)26.9 (2.8)0.953
Skinfold measurement (mm)14.4 (3.5)17.8 (7.3)<0.00115.9 (6.2)19.6 (6.07)0.001
Calf circumference (cm)29.9 (4.3)34.4 (3.5)<0.00132.2 (4.6)33.8 (2.9)0.017
BMI, kg/m225.3 (5.2)28.6 (4.5)<0.00127.0 (5.2)27.8 (2.9)0.269
6-CIT(c)15.7 (5.9)7.2 (5.8)<0.00111.8 (7.2)5.3 (2.9)<0.001
Timed Go and Up Test (secs)23.8 (9.9)13.4 (8.9)<0.00119.1 (10.9)9.7 (4.8)<0.001
Functional Reach Test (cm)18.5 (8.5)31.5 (11.1)<0.00124.2 (11.2)38.2 (10.4)<0.001
Katz Index4.5 (1.9)5.8 (0.8)<0.0015.2 (1.6)6.0 (0)<0.001
Lawton Scale5.4 (3.1)7.6 (1.3)<0.0016.5 (2.7)8.0 (0)<0.001

[i] Data is presented as mean and SD

[ii] (a) MNA-SF – Mini Nutritional Assessment-Short Form, (b) SCREEN II – Seniors in the Community: Risk Evaluation for Eating and Nutrition, version II among octogenarians, (c) 6-CIT-Six Item Cognitive Impairment Test, *Students’ t-test for independent samples

Table 2

Mean ferritin, haemoglobin albumin and total cholesterol concentrations in the Bosnian elderly population by age and gender.

Age/yearsN (%)Mean (SD)P*Mean (SD)P*Mean (SD)P*Mean (SD)P*
Men65–7496 (49)227.7 (170.6)0.080146.3 (15.1)<0.00146.2 (3.2)0.0055.3 (1.1)0.004
(n=195)75–8466 (33)170.8 (131.3)138.5 (17.9)44.6 (3.1)5.0 (1.1)
>8533 (16)194.3 (176.2)135.4 (15.7)44.6 (3.7)4.6(1)
Women65–74111 (44)101.6 (6.3)<0.001133.6 (11.9)<0.00146.2 (8.4)0.0625.5 (1)0.031
(n=251)75–84110 (43)119.6 (9.4)124.2 (13.9)44.3 (3.8)5.4 (1.3)
>8530 (12)168.9 (22.7)117.4 (15.6)44.4 (4.6)4.9 (1.2)

[i] *ANOVA

Table 3

Average daily dietary intakes of study participants in comparison with DRI recommendations.

Variable*Study participants’ intake (n=446)DRI Recommendation% DRI
Energy (Cal)1330 (329)1900–230056–70%
Carbohydrate, g224 (79)130>100%
Fat, g32 (13)20–35>91%
Protein, g42 (14)46–5675–91%
Vitamin B6, mg0.84 (0.1)1.5–1.749–56%
Vitamin B12, μg1 (0.6)2.474%
Vitamin C, mg33 (15)75–9036–44 %
Vitamin E, mg2 (2)1533%
Vitamin D, μg2 (0.2)15–2012–16
Magnesium, mg127 (45)320–42030–40%
Zinc, mg4 (1)9–1137–46%
Calcium, mg486 (116)1,20040%
Iron, mg13 (4)8–18>50%
Potassium, g1 (0.6)4.728%
Sodium, g0.60 (455)1.250%
Folate, μg115 (32)40029%

[i] DRI – Recommended Dietary Allowance

[ii] *Data presented as mean and SD

Table 4

Variables associated with biochemical biomarkers (multivariate linear regression analyses).

minmax
Albuminb
Meals, 3/day1.550.190.732.22<0.001
Fruit/vegetable servings-0.59-0.10-1.020.130.024
Wine, one glass a day4.210.232.355.87<0.001
IADL0.270.130.070.460.011
Ferritinc
Female-0.48-0.21-0.720.23<0.001
Living in nursing home-0.61-0.25-0.84-0.34<0.001
Edentulism-0.03-0.08-0.700.000.011
Chronic diseases, more than 3-0.01-0.01-0.280.020.005
Fruit/vegetable servings0.01-0.01-0.020.060.028
BMI0.010.070.000.020.015
Haemoglobind
Female-12.95-0.37-15.45--9.85<0.001
Age-3.91-0.10-7.14-0.680.011
Number of medications, more than 3-0.83-0.01-1.39-0.260.004
Wine, one glass a day6.530.011.6211.440.037
Mobility-0.31-0.20-0.54-0.110.003
BMI0.170.150.070.260.003
Total cholesterole
Fruit/vegetable servings1.560.010.501.930.031
Female0.400.170.190.60<0.001
Age-0.16-0.06-0.410.080.016
Drinking sweetened drinks, >20.070.080.000.140.024
Whole milk consumption0.280.160.120.44<0.001
Balance0.030.320.200.40<0.001

[i] IADL – Instrumental Activities of Daily Living, BMI – body mass index

[ii] a Only statistically significant results are presented.

[iii] b Variables included in the model were age, number of meals, daily intake of fruit/vegetables, daily intake of wine, physical activity, IAD as assessed using the Lawton Scale.

[iv] c Variables included in the model were gender, living environment, edentulism, health perception, number of chronic diseases, daily intake of fruit/vegetables, daily intake of soft drinks, BMI.

[v] d Variables included in the model were age, gender, having a hobby, number of visits to a family physician per year, number of medications, daily intake of wine, daily intake of dairy products, daily intake of fruit/vegetables, weekly intake of fish, 6-CIT score, BMI, mobility as assessed with the Timed Get-up-and-Go Test.

[vi] e Variables included in the model were age, gender, number of meals, number of meals eating outside of home per week, daily intake of soft drinks, daily intake of dairy products, daily intake of wine, balance as assessed by the Functional Reach Test, skinfold thickness and calf circumference.

DOI: https://doi.org/10.2478/sjph-2021-0006 | Journal eISSN: 1854-2476 | Journal ISSN: 0351-0026
Language: English, Slovenian
Page range: 30 - 37
Submitted on: Nov 11, 2019
Accepted on: Nov 19, 2020
Published on: Dec 31, 2020
Published by: National Institute of Public Health, Slovenia
In partnership with: Paradigm Publishing Services

© 2020 Jelena Pavlović, Maja Račić, Nedeljka Ivković, published by National Institute of Public Health, Slovenia
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.