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Abstract

OBJECTIVE: The aim of the study was to analyze health-related factors associated with poor nutritional status (PNS) of a representative group of Polish older people, based on data from the PolSenior project (the first nation-wide study of Polish senior citizens). PATIENTS AND METHODS: Nutritional status was assessed in 3751 community-dwelling older people (1770 females, mean age: 77.4±8.0 years) using the Mini Nutritional Assessment – Short Form. Elements of comprehensive geriatric assessment (cognitive and mood screening), selected medical data were analyzed in relation to the nutritional status. These were: the number of medications, the number of chronic diseases, selected diseases potentially related to malnutrition (anaemia, stroke, peptic ulcer, Parkinson’s disease, cancer – past or present), total edentulism, use of dentures, and chronic pain. RESULTS: PNS was observed in 44.2% of participants. Female sex [OR 1.72, 95% Cl (1.45-2.04)], advanced age [OR 2.16 (1.80-2.58)], symptoms of depression [OR 11.52 (9.24-14.38)], cognitive impairment [OR 1.52 (1.20-1.93], multimorbidity [OR 1.27 (1.04-1.57)], anaemia [OR 1.80 (1.41-2.29)] and total edentulism [OR 1.26 (1.06-1.49)] were independently correlated with PNS. CONCLUSIONS: PNS in Polish elderly population is strongly related to the occurrence of symptoms of depression. People in advanced age with symptoms of depression, cognitive impairment, multimorbidity, anaemia and total edentulism should be screened and monitored for early symptoms of malnutrition.
4565
symptoms of depression. People in advanced
age with symptoms of depression, cognitive
impairment, multimorbidity, anaemia and total
edentulism should be screened and monitored
for early symptoms of malnutrition.
Key Words:
Malnutrition, MNA-SF, Health-related correlates, El-
derly, Ageing.
Introduction
The imbalance between nutritional needs and nu-
trients intake is more prevalent in older people than
in middle-aged individuals, and malnutrition is a
common condition1. Poor nutritional status (PNS)
not only accelerates the ageing process but may also
increase morbidity and negatively impact the cour-
se of diseases2,3. It may also prolong hospitalization,
increase the costs of treatment and increase the mor-
tality rate among older people4,5. Malnutrition is thus
a signicant factor, which affects the functional in-
dependence of older people6,7.
In view of current demographic projections,
which indicate a rise in the proportion of older
Abstract. OBJEC TIVE : The aim of the study
was to analyze health-related factors associat-
ed with poor nutritional status (PNS) of a repre-
sentative group of Polish older people, based
on data from the PolSenior project (the rst na-
tion-wide study of Polish senior citizens).
PATIENTS AND METHODS : Nutritional status
was assessed in 3751 community-dwelling older
people (1770 females, mean age: 77.4±8.0 years)
using the Mini Nutritional Assessment - Short
Form. Elements of comprehensive geriatric as-
sessment (cognitive and mood screening), se-
lected medical data were analyzed in relation to
the nutritional status. These were: the number
of medications, the number of chronic diseas-
es, selected diseases potentially related to mal-
nutrition (anaemia, stroke, peptic ulcer, Parkin-
son’s disease, cancer past or present), total
edentulism, use of dentures, and chronic pain.
RE S ULT S : PNS was observed in 44.2% of par-
ticipants. Female sex [OR 1.72, 95% Cl (1.45-
2.04)], advanced age [OR 2.16 (1.80-2.58)], symp-
toms of depression [OR 11.52 (9.24-14.38)],
cognitive impairment [OR 1.52 (1.20-1.93], multi-
morbidity [OR 1.27 (1.04-1.57)], anaemia [OR 1.80
(1.41-2.29)] and total edentulism [OR 1.26 (1.06-
1.49)] were independently correlated with PNS.
CONCLUSIONS: PNS in Polish elderly pop-
ulation is strongly related to the occurrence of
European Review for Medical and Pharmacological Sciences 2016; 20: 4565-4573
R. KRZYMINSKA-SIEMASZKO1, J. CHUDEK2,3, A. SUWALSKA4, M. LEWANDOWICZ1,
M. MOSSAKOWSKA5, R. KROLL-BALCERZAK6, B. WIZNER7, S. TOBIS8,
K. MEHR9, K. WIECZOROWSKA-TOBIS1,10
1Laboratory of Geriatric Medicine, Department of Palliative Medicine, Poznan University of Medical
Sciences, Poznan, Poland
2Department of Pathophysiology, Medical University of Silesia in Katowice, Katowice, Poland
3Department of Internal Medicine and Oncological Chemotherapy, Medical Faculty, Medical
University of Silesia in Katowice, Katowice, Poland
4Laboratory of Neuropsychobiology, Department of Psychiatry, Poznan University of Medical
Sciences, Poznan, Poland
5International Institute of Molecular and Cell Biology in Warsaw, Warsaw, Poland
6Department of Haematology, Poznan University of Medical Sciences, Poznan, Poland
7Department of Internal Medicine and Gerontology, Jagiellonian University Medical College,
Krakow, Poland
8Laboratory of Occupational Therapy, Department of Geriatrics and Gerontology, Poznan
University of Medical Sciences, Poznan, Poland
9Laboratory of Masticatory System Dysfunctions, Department of Oral Rehabilitation, Poznan
University of Medical Sciences, Poznan, Poland
10Department of Human Nutrition and Hygiene, Poznan University of Life Sciences, Poznan, Poland
Corresponding Author: Roma Krzyminska-Siemaszko, Ph.D; e-mail: romakrzyminska@interia.pl
Health status correlates of malnutrition
in the polish elderly population – Results
of the Polsenior Study
R. Krzyminska-Siemaszko, J. Chudek, A. Suwalska, M. Lewandowicz, M. Mossakowska, et al.
4566
people in most countries worldwide, including
Poland8, it is very important to identify subjects
with PNS early in order to implement proper
treatment. Therefore, efforts to determine the
risk factors that may adversely affect the nutri-
tional status of older people, and which in turn
lead to irreversible changes in their indepen-
dence, seem crucial. However, malnutrition in
old age is usually a multifactorial condition and
it is often not possible to pinpoint its key cause.
Moreover, in cases of coexistence of malnutri-
tion and chronic diseases, it is difcult to deli-
neate the causality.
The socio-demographic correlates of malnutri-
tion in Poland have been presented in a previous
paper9. The authors pointed out that particular
attention should be paid to single, poorly educa-
ted females, especially in advanced age, living in
rural areas and declaring to be in a bad nancial
situation. That paper notwithstanding, data on
health-related correlates of malnutrition from a
representative group of older people are limited
10. The aim of this paper was to, therefore, analy-
ze the health-related factors associated with PNS
in Poland, based on the data from the PolSenior
project – the rst nation-wide study of a represen-
tative group of Polish senior citizens.
Patients and Methods
PolSenior was a multidisciplinary research
project, conducted in 2007-2011, in order to as-
sess the medical, psychological, social and eco-
nomic aspects of ageing in Poland. The aim of the
project was to dene the status of older people as
well as their social and medical needs. The outco-
mes were expected to facilitate the provision of
necessary care in view of the increasing number
of older people.
In the PolSenior project 4979 subjects (2412
females and 2567 males), aged 65 years and ol-
der, were studied. The sample size was calculated
assuming an assessment of traits that occur with
the prevalence of at least 5% within the elderly
population. Participants were selected through a
multi-stage draw, planned so as to obtain a repre-
sentative group for Poland. The selection was per-
formed independently in six 5-year age cohorts:
65-69 years (n=782), 70-74 years (n=923), 75-79
years (n=844), 80-84 years (n=791), 85-89 years
(n=871), 90 years and above (n=768). A detailed
description of the study design has already been
presented11.
Informed consent was obtained from each par-
ticipant or their caregiver prior to the study. The
study was conducted in accordance with the De-
claration of Helsinki and the protocol was appro-
ved by the Bioethics Committee of the Medical
University of Silesia in Katowice (Permit Num-
ber: KNW-6501-38/08).
Studied group
The studied group was comprised of 3751 com-
munity-dwelling respondents of the PolSenior
project (1770 females and 1981 males) who met
the following inclusion criteria:
Acquired at least 70% of all possible points in
the Mini-Mental State Examination (MMSE);
this result was supposed to conrm the ability
to understand the questions of the 15-point Ge-
riatric Depression Scale (GDS), used to assess
the symptoms of depression,
Were able to stand upright for height measure-
ment which, in turn, made it possible to calcu-
late Body Mass Index (BMI),
The data obtained from the respondents enabled
the completion of Mini Nutritional Assessment
– Short Form scale (MNA-SF).
Study Procedure and Data Analysis
In the analysis an assessment of the nutritional
status was made, along with other elements of the
comprehensive geriatric assessment (cognitive
and mood screening) which are important for the
nutritional status. Selected medical history data
was also included (number of medications routi-
nely taken by the study participants, number of
chronic diseases, selected chronic diseases poten-
tially related to malnutrition).
The nutritional status was assessed with the
MNA-SF (the revised MNA-SF of 2009)12, one
of the most valid and frequently used nutritional
screening tools for older people13,14. MNA-SF is
composed of 6 questions and evaluates the decre-
ase in food intake, weight loss, mobility, psycho-
logical stress or acute diseases, neuropsychologi-
cal problems (dementia or depression) and BMI.
Poor nutritional status (PNS) was dened as a
MNA-SF result below 12 points (the maximum is
14 points). Following Kaiser et al15, this included
both subjects with malnutrition (≤7 points) and
those at risk of malnutrition (8-11 points).
Cognitive status was assessed with the Mi-
ni-Mental State Examination (MMSE)16. A result
of 24-30 points indicated that there was no de-
mentia. Results of 0-23 points were classied as
a positive screening for dementia (20-23 points:
Health status correlates of malnutrition in Poland
4567
mild dementia, 10-19: points: moderate dementia
and 0-9 points: severe dementia).
The presence of the symptoms of depression
was assessed by means of a short version of Ge-
riatric Depression Scale (GDS), composed of 15
questions17. GDS was performed only for those
respondents who obtained at least 70% of all pos-
sible points in MMSE (n=3984), thus excluding
persons with cognitive impairment (who might,
therefore, not fully understand the questions).
Subjects with at least 6 points on the GDS sca-
le were classied as belonging to the group with
symptoms of depression.
The number of medications taken by the re-
spondents came from interviews conducted by
trained nurses with the older people or their care-
givers (if the respondents were not able to actively
participate in the project due to health problems or
disability, e.g. hearing loss). They were asked to
present all medications being used. The analysis
included medications taken at least once a week,
both prescribed and over-the-counter (OTC).
With regard to the number of medications, the re-
spondents were divided into two groups: without
polypharmacy (up to 4 medications taken simul-
taneously) and with polypharmacy (at least 5 me-
dications).
The data on the number of diseases were also
obtained during the interviews. Subjects with
fewer than 4 chronic diseases were compared
against those with 4 or more diseases (i.e. with
multimorbidity). The data on selected chronic
diseases potentially related to malnutrition (ana-
emia - based on WHO denition: haemoglobin
below 12 g/dl in females and 13 g/dl in males, the
peptic ulcer, stroke – both ischemic and haemor-
rhagic, Parkinson’s disease and cancer – present
or past) were also collected. Additionally, chronic
pain was evaluated, dened as persisting longer
than 3 months.
The respondents were also classied based on
their dental status. They were divided into those
with total edentulism (no teeth of their own) and
those who used dentures. Those who had articial
dentures were analyzed separately.
Statistical Analysis
Statistical analysis was performed with STA-
TISTICA 10.0 software (StatSoft, Poland). For
all the analyzed variables the mean and standard
deviations were calculated. Data distribution nor-
mality was assessed using Shapiro-Wilk’s test.
Statistical comparisons between the groups were
made using Chi-square test. To assess simulta-
neous interdependence between many variables,
multiple regression (logistic regression) was used,
specifying the odds ratio and the condence inter-
val with the condence limit of 95%; p<0.05 was
considered statistically signicant.
The sample was intended to include the same
number of men and women in all age cohorts. It
thus allowed for the precise assessment of studied
factors in the oldest groups. On the other hand, ol-
der groups and males were overrepresented com-
pared to the actual population structure. Conse-
quently, post-stratication was necessary in order
to make the sample representative of the Polish
population and assure that the results reected the
distribution of studied characteristics (including
malnutrition and risk of malnutrition) in the entire
population of older people in Poland.
Results
Study Participants Characteristics
The mean age of the study participants was
77.4±8.0 years. The female to male ratio was 9:10
(47.2% of subjects studied were females).
Among analyzed individuals 22.8% were dia-
gnosed with at least 4 chronic diseases, 43.8%
were treated with at least 5 medications simulta-
neously and 10.9% with at least 10 medications.
Screening for dementia was positive in 17.1% of
the individuals studied, and in 29.0% symptoms
of depression were present.
Anaemia was present in 14.9% of individuals,
peptic ulcer was declared by 10.2%, stroke by
6.4% and Parkinson’s disease by 2.1%. 6.7% of
the studied population reported being diagnosed
with cancer (at present or in the past). Chronic
pain was present in 42.6% of the respondents. To-
tal edentulism was found in 47.8%; only 77.6% of
participants had dentures and only 83.7% of den-
ture owners used them. Table I presents the de-
mographic and health characteristics of the study
participants by gender.
Factors Associated with Poor
Nutritional Status
PNS was found in 44.2% of studied subjects,
including 6.2% who were malnourished, and
38.0% at risk of malnutrition.
Table II shows the impact of health-related fac-
tors (including age and sex) on the prevalence of
PNS using univariable analysis. Age and sex had
a strong impact on PNS. PNS was detected almost
twice as frequently in subjects of the oldest cohort
R. Krzyminska-Siemaszko, J. Chudek, A. Suwalska, M. Lewandowicz, M. Mossakowska, et al.
4568
than in the youngest one (p<0.001) and was more
frequent among females than males (p<0.001).
Respondents exposed to a higher risk of PNS in-
cluded those who were diagnosed with at least 4
chronic diseases (p<0.001) as well as those with
polypharmacy (p<0.001).
As far as analyzed clinical conditions are con-
cerned, the factors contributing to PNS included
Table I. Demographics and health characteristics of the participants by gender.
Males Females
Variable n (%) n (%) p
Age
65-69 years 344 (17.4) 378 (21.4)
70-74 years 429 (21.7) 406 (22.9)
75-79 years 373 (18.8) 329 (18.6) p=0.007*
80-84 years 320 (16.2) 272 (15.4)
85-89 years 326 (16.5) 244 (13.8)
90 and over 189 (9.5) 141 (8.0)
Number of chronic diseases
≥ 4 diseases 358 (18.1) 498 (28.1) p<0.001
< 4 diseases 1623 (81.9) 1272 (71.9)
Number of medications
0-4 970 (49.6) 706 (40.5)
5-9 810 (41.4) 810 (46.4) p<0.001*
10 or more 176 (9.0) 228 (13.1)
Dementia
Yes 314 (15.8) 328 (18.5) p<0.05
No 1667 (84.2) 1442 (81.5)
Depression
Yes 471 (23.8) 618 (34.9) p<0.001
No 1510 (76.2) 1152 (65.1)
Anaemia
Yes 300 (18.1) 165 (11.3) p<0.001
No 1358 (81.9) 1291 (88.7)
Peptic ulcer
Yes 215 (11.0) 164 (9.3) ns
No 1746 (89.0) 1593 (90.7)
Stroke
Yes 127 (6.4) 111(6.3) ns
No 1850 (93.6) 1653 (93.7)
Parkinson’s disease
Yes 49 (2.5) 29 (1.7) ns
No 1919 (97.5) 1728 (98.3)
Cancer
Yes 136 (6.9) 115 (6.5) ns
No 1835 (93.1) 1642 (93.5)
Chronic pain (> 3 months)
Yes 714 (36.1) 880 (49.8) p<0.001
No 1263 (63.9) 886 (50.2)
Total edentulism
Yes 839 (43.9) 895 (52.1) p<0.001
No 1072 (56.1) 822 (47.9)
Use of dentures
Yes 1302 (66.3) 1402 (79.6) p<0.001*
No 106 (5.4) 79 (4.5)
Doesn’t have any 555 (22.3) 281 (15.9)
Chronic pain (> 3 months)
Yes 714 (36.1) 880 (49.8) p<0.001
No 1263 (63.9) 886 (50.2)
Notes: *X2 for trend
Health status correlates of malnutrition in Poland
4569
positive screening for dementia and symptoms of
depression (p<0.001) as well as reports on chronic
pain (p<0.001). Moreover, PNS was more frequent
in study participants with anaemia (p<0.001),
peptic ulcer (p<0.01), stroke (p<0.001), Parkin-
son’s disease (p<0.001) and cancer (p<0.05).
PNS was more frequently diagnosed in older
people with total edentulism (p<0.001). In all
the studied groups a comparison of subjects who
used dentures with those who did not use them
(regardless of whether they still had their own te-
eth or were toothless) revealed no statistical dif-
ference in the risk of PNS. However, in the case
of subjects with total edentulism, PNS was more
frequent in those who did not use dentures (66.2%
vs. 53.0%; p<0.001).
The multiple regression models including all fac-
tors inuencing the risk of PNS from the univariable
analysis is presented in Table III. The strongest in-
dependent correlate of PNS in the population stu-
died was the presence of symptoms of depression
(OR 11.52). Female sex, advanced age (80 years or
more), positive screening for dementia, multimorbi-
dity (the presence of 4 or more diseases), anaemia,
and total edentulism were also found to be indepen-
dent factors contributing to PNS.
Separately analyzed multiple regression models
for females and males showed differences in the
correlates of PNS (Table III). For both sexes, the
common correlates included: advanced age (80 ye-
ars or more), the presence of symptoms of depres-
sion and positive screening for dementia, as well as
Table II. Poor nutrition status (MNA-SF<12) of the participants by socio-demographic and health characteristics
Poor nutritional status
Variable Level n (%) p
Sex Males [n=1981] 828 (41.8) p<0.001
Females [n=1770] 1009 (57.0)
Age 65-69 years [n=722] 272 (37.7)
70-74 years [n=835] 313 (37.5)
75-79 years [n=702] 328 (46.7) p<0.001*
80-84 years [n=592] 328 (55.4)
85-89 years [n=570] 356 (62.5)
90 and over [n=330] 240 (72.7)
Number of chronic diseases ≥ 4 diseases [n=856] 507 (59.2)
< 4 diseases [n=2895] 1330 (45.9) p<0.001
Number of medications 0-4 [n=1676] 746 (44.5)
5-9 [n=1620] 814 (50.2) p<0.001*
10 or more [n=404] 248 (61.4)
Dementia Yes [n=642] 419 (65.3) p<0.001
No [n=3109] 1418 (45.6)
Depression Yes [n=1089] 938 (86.1)
No [n=2662] 899 (33.8) p<0.001
Anaemia Yes [n=465] 289 (62.2)
No [n=2649] 1202 (45.4) p<0.001
Peptic ulcer Yes [n=379] 210 (55.4)
No [n=3339] 1608 (48.2) p<0.01
Stroke
Yes [n=238] 150 (63.0)
No [n=3503] 1681 (48.0) p<0.001
Parkinson’s disease Yes [n=78] 53 (67.9)
No [n=3647] 1767 (48.5) p<0.001
Cancer Yes [n=251] 138 (55.0) p<0.05
No [n=3477] 1685 (48.5)
Chronic pain Yes [n=1594] 862 (54.1)
No [n=2148] 971 (45.2) p<0.001
Total edentulism Yes [n=1734] 955 (55.1)
No [n=1894] 822 (43.4)
Use of dentures Yes [n=2704] 1304 (48.2) p<0.001
No [n=185] 102 (55.1) ns
Notes: *X2 for trend.
R. Krzyminska-Siemaszko, J. Chudek, A. Suwalska, M. Lewandowicz, M. Mossakowska, et al.
4570
anaemia. In males, PNS was also related to edentu-
lism, whereas in females – to multimorbidity.
Discussion
The paper presents health-related correlates of
PNS among a representative population of Poland.
In addition to advanced age (80 years or more)
and female sex, the presence of symptoms of de-
pression, positive screening for dementia, multi-
morbidity (4 or more chronic diseases), anaemia
and total edentulism were independent correlates
of PNS in the Polish population.
A shortened version of the MNA (the revised
MNA-SF of 2009) was used instead of its full
version as it allows prompt and efcient identi-
cation of those older people who are malnouri-
shed or are at a greater risk of malnutrition. The
MNA-SF requires less time to complete than the
full version, which is advantageous, especially in
studies of the elderly population. The high sen-
sitivity and specicity of the MNA-SF scale, as
well as its good correlation with the full version,
have been conrmed in many clinical studies18,19.
The MNA-SF scale has also been validated in re-
search among community-dwelling older people
in Poland20.
In previous investigations1,10,21-24 of the aspects
associated with malnutrition in older people, va-
rious health-related factors have been taken into
consideration, based on multidimensional analy-
sis. With the exception of Nykanen et al10, de-
pression was included in all of them. In our work,
symptoms of depression were the strongest cor-
relate of PNS. This nding is in agreement with
previously published data1,21,23-24, although Torres
et al22 observed the relationship between PNS and
depression only in older people living in urban
areas. Among the symptoms of depression apathy,
loss of appetite, and loss of interest in self-care
were shown to increase the risk of malnutrition1,21.
On the other hand, vitamin and antioxidant de-
ciencies have been proven to reduce the risk of
depression25. Thus, malnutrition and depression
may accelerate each other.
Similarly to other studies1,10,22-24, lower results
of MMSE also contributed to PNS in the PolSe-
nior population. It has been stressed that subjects
with dementia may be unable to not only go shop-
ping and prepare meals, but even eat properly.
Additionally, among individuals with dementia,
abnormal food-related behaviours are quite com-
mon26 and may lead to unintentional weight loss
26,27 as well as PNS.
Boulos et al23 have presented the vicious circle
between malnutrition and multimorbidity. In this
study, multimorbidity was an important factor con-
tributing to PNS. It has been shown that various
chronic diseases are accompanied by decreased
food intake and metabolic changes, with a subse-
quent negative impact on the energy balance23,31.
Among the diseases included in our report only
anaemia (which is itself frequently a symptom of
chronic diseases and malnutrition) was found to
be a factor for PNS. Mitrache et al32 have shown
that malnutrition may play an important etiologic
role in anaemia in older people. Moreover, Ramel
et al33 have found that measures related to mal-
nutrition, e.g. midarm muscle circumference and
prealbumin concentration, remained signicant
predictors of haemoglobin in hospitalised older
patients in Ireland. In this context, however, it is
worth noticing that anaemia is not included in the
list of diseases related to malnutrition presented in
the review of Hickson et al31.
In the present study, peptic ulcer, stroke, Par-
kinson’s disease and cancer were not independent
Table III. Factors associated with poor nutritional status (multiple logistic regression, backward selection model).
Overall Males Females
Variable OR (95% Cl) p OR (95% Cl) p OR (95% Cl) p
Female sex 1.72 (1.45-2.04) <0.001 - -
Age* 2.16 (1.80-2.58) <0.001 1.78 (1.40-2.27) <0.001 2.77 (2.11-3.61) <0.001
Depression 11.52 (9.24-14.38) <0.001 12.80 (9.40-17.43) <0.001 10.80(7.85-14.87) <0.001
Dementia 1.52 (1.20-1.93) <0.001 1.58 (1.15-2.18) 0.005 1.41 (0.99-2.02) 0.05
Multimorbidity** 1.27 (1.04-1.57) 0.02 - - 1.35 (1.01-1.79) 0.04
Anaemia 1.80 (1.41-2.29) <0.001 1.81(1.34-2.44) <0.001 1.99 (1.30-3.07) 0.002
Total edentulism 1.26 (1.06-1.49) 0.009 1.31(1.04-1.66) 0.02 - -
Notes: *80 years or more; **4 or more diagnosed diseases.
Health status correlates of malnutrition in Poland
4571
factors related to PNS. Other scholars10,22 have not
included these parameters. Malnutrition is a com-
mon problem in patients with malignancy, but it
mainly occurs in advanced stages of cancer34,35.
Among subjects who had a stroke and Parkinson’s
disease, malnutrition is related to disability36,37. In
the entire PolSenior population the number of stu-
dy participants with advanced stages of analyzed
diseases was relatively small. As far as peptic ul-
cers are concerned, it has been shown that symp-
toms such as stomach pain (and not the diagnosis
itself) were related to malnutrition24.
Dental status is an integral part of the well-
being of older people. Poor dental status in old
age, either edentulism or lack of dentures, is a risk
factor of malnutrition that is well documented in
the literature28,29. It is also emphasized that a lack
of functional dentition is associated with avoiding
foods that must be chewed, such as meat. Raw ve-
getables, fruit, and high-bre foods are also avoi-
ded28. Such a diet alone may result in malnutrition.
Chronic pain was not an independent factor of
PNS in the PolSenior population. It has only been
included in a multivariable analysis of factors as-
sociated with PNS performed in a rural area in Le-
banon, by Boulos et al23, who showed that older
people complaining of chronic pain were almost
twice as likely to have PNS. It seems possible that
chronic pain may cause mood alterations38 and,
subsequently, symptoms of depression (not pain)
constitute an independent factor of PNS.
The use of a greater number of medications in
the PolSenior population was not related to PNS.
This is in agreement with the data published by
van Bokhorst et al1. On the other hand, Torres et
al22 have reported an association between a higher
number of medications used daily and PNS. It
seems possible that this is at least partly due to
different denitions of polypharmacy used by the
cited authors.
When a multiple regression analysis was per-
formed independently for females and males,
multimorbidity in the former and edentulism in
the latter was found to be independent risk fac-
tors for PNS. This is possibly a new observation.
It has also been shown that females and males age
differently, which most likely also affects the cor-
relates of PNS39.
Conclusions
PNS in the Polish elderly population is strongly
related to the occurrence of symptoms of depres-
sion. In particular, people in advanced age with
symptoms of depression, those with a positive
screening for dementia, with multimorbidity, ana-
emia and total edentulism should be screened and
monitored for early symptoms of malnutrition.
Proper nutritional interventions for older people
with early symptoms of malnutrition are a major
challenge not only for nutritional specialists, phy-
sicians, and nurses but also for all public health
practitioners.
Acknowledgements
Implemented under publicly-funded project No. PBZ-
MEIN-9/2/2006, Ministr y of Science and Higher Ed-
ucation.
Conflicts of interest
The authors declare no conicts of interest.
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... Our previous analysis of the PolSenior population showed that depressive symptoms, cognitive impairment, multimorbidity, anemia, and total edentulism were independent risk factors for poor nutritional status. That analysis assessed nutritional status solely with the Mini Nutritional Assessment-Short Form (MNA-SF) questionnaire [9]. Meanwhile, in 2019, the Global Leadership Initiative on Malnutrition (GLIM) experts proposed new diagnostic criteria for malnutrition. ...
... This percentage is lower compared to our previous analysis, in which nearly every second participant had poor nutritional status. This discrepancy can be attributed to the fact that the previous diagnosis of malnutrition was based exclusively on the MNA-SF score [9], which is only a screening tool within the GLIM criteria. Comparable findings were reported by Rodriguez-Sanchez et al. [19], who analyzed data from 1,660 older people (mean age 75.6 years) in Toledo, Spain, and found that 12.6% (n = 209) were malnourished based on the GLIM criteria. ...
... Nevertheless, further research in this area is needed, preferably population-based studies. Similarly to our previous analysis of the correlates of malnutrition diagnosed using the MNA-SF score [9], we observed the highest risk of poor nutritional status in individuals in their late old age. These findings align with the results of a systematic review by Bardon et al. [21], which analyzed the most common socioeconomic risk factors and determinants of malnutrition. ...
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Introduction Older individuals are at risk of malnutrition resulting from chronic diseases-related body and muscle mass reduction. In turn, nutritional deficiencies may enhance catabolic processes, leading to accelerated aging and comorbidity, thus creating a vicious cycle. Our study aimed to assess the prevalence of malnutrition using the Global Leadership Initiative on Malnutrition (GLIM) criteria and to determine the health correlates of malnutrition in a representative sample of community-dwelling older adults. Methods We used the GLIM criteria to diagnose malnutrition in 5,614 participants of the PolSenior2 study. The PolSenior2 study was a population-based survey designed to assess the medical, psychological, social, and economic characteristics of community-dwelling older adults. Results Malnutrition was diagnosed in 13.4% of the participants using the GLIM criteria. Results of multiple logistic regression showed that the risk of depression [OR 4.18, p<0.001], peptic ulcer disease [OR 2.73, p<0.001], past stroke [OR 1.71, p<0.001], cognitive impairment [OR 1.34, p = 0.015], and chronic pain [OR 1.23, p = 0.046] were independent correlates of malnutrition. Conclusion Due to the high risk of malnutrition, special attention should be paid to individuals in late old age. Suspected malnutrition should also be considered in people at risk of depression, with peptic ulcer disease, past stroke, and cognitive impairment. Chronic pain should also prompt the diagnosis for malnutrition.
... Membership of clusters, in terms of food insecurity and nutritional risk, was not impacted by gender, education, self-reported health, BMI, and the presence of metabolic disease. However, the results of other studies confirm the link between food insecurity, malnutrition, and some of these characteristics, including gender [27,[58][59][60], education [57,60], and body mass index [60]. At the same time, it should be noted that these results mainly come from developing countries such as Brazil, Ecuador, Peru, or Malaysia [27,57,58,60] and women, people with a lower education status, and those with a lower body mass index, experience both food insecurity and malnutrition. ...
... Food insecurity and malnutrition often affect people of advanced ages [59], single residents [27,57], individuals living with family members or people other than a partner [76], as well as those with difficult economic situations [28,57], worse social or family rela-tions [57,76], and those with various diseases [59,77,78]. Place of residence, food insecurity, and malnutrition were more strongly associated with rural than urban environments [57,79]; living with one's partner protected against such consequences [57]. ...
... Food insecurity and malnutrition often affect people of advanced ages [59], single residents [27,57], individuals living with family members or people other than a partner [76], as well as those with difficult economic situations [28,57], worse social or family rela-tions [57,76], and those with various diseases [59,77,78]. Place of residence, food insecurity, and malnutrition were more strongly associated with rural than urban environments [57,79]; living with one's partner protected against such consequences [57]. ...
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Aging populations may be associated with increased nutritional risk, malnutrition, and food insecurity. This study aims to examine the relationship between food insecurity and nutritional risk, taking into account selected characteristics of the study group, and factors describing nutritional risk. It was conducted between May and July 2021, among 417 people aged 60 and older, in two regions of Poland. Questions from the SCREEN-14 questionnaire were used to assess nutritional risk. Selected questions from the HFSS questionnaire (U.S. Household Food Security Survey Module) concerning the elderly were used to assess food insecurity. A K-means cluster analysis was used to separate homogeneous clusters into food security indicators and nutritional risk factors. The Mann-Whitney U test and Kruskal-Wallis test were used to compare mean values between groups, and the Chi-square test was used to verify the differences. Two clusters were distinguished: I-"low food security and high nutritional risk" and II-"high food security and low nutritional risk". Cluster I included people aged 60-65, and over 75, living in urban areas, living alone or with family, with unfavorable economic situations and family relationships. Cluster II was composed of people aged 71-75, who were rural residents, living with a partner, with favorable economic situations and family relations. The vast majority of nutritional risk factors were found in Cluster I and among those at high nutritional risk. The largest number of people were affected by such nutritional risk factors such as difficulty in chewing or biting, loss in appetite, skipping meals, and perceiving one's weight as abnormal. Moreover, the group of people most significantly affected by high nutritional risk were in unfavorable economic situations, had poor family relationships, lived alone or with family, rated their health as worse than their peers, were overweight and obese, had metabolic disease, or impeding mobility. The results obtained can be applied to the planning of social and health policies for the elderly in Poland.
... Our findings indicate high prevalence of malnutrition in the elderly [50]. The prevalence of malnutrition in Chinese hospitalized elderly is between 40.9 % and 58.6 % [60]. ...
... In a study conducted in Brazil, it has been stated that the use of elderly people living in the community rather than hospitalized, as well as appropriate social and psychological support and practical approaches that improve calorie intake, have led to a lower prevalence of malnutrition in elderly [76]. It has also been suggested that Polish elderly with symptoms of depression who suffer from multiple illnesses and anaemia should be monitored and controlled for signs of malnutrition [50]. In this study, Asian and Australian seniors had a lower prevalence of malnutrition, so that the lowest prevalence of malnutrition was in Australia. ...
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... Może to wynikać z tego, że osoby starsze zamieszkujące obszary wiejskie czy małe miasta, ze względu na ograniczoną dostępność usług oraz ograniczenia funkcjonalne, wykazują się gorszym przestrzeganiem zaleceń żywieniowych [2,83]. Niekorzystne zachowania żywieniowe i w związku z tym przyrost masy ciała to również domena osób starszych mieszkających w pojedynkę [41,42,43]. ...
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... The low percentage of patients receiving neoadjuvant chemotherapy results from the significant comorbidity of the Polish population compared to other European populations [25]. Scientific reports indicate that the risk of malnutrition in the Polish population over 65 years old can reach 44.2% [26] and 39.2% in the oncological patient group [27]. The prevalence of overweight is 63% in men and 43% in women [28]. ...
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... [1,[21][22][23] Malnutrition is more likely to manifest in this condition later in life. [6] Other researchers have discovered a substantial connection between elderly malnutrition and depression, including Kaur and Kaur Mal, [24] Naido o et al., [25] Boulos et al., [26] Keshavarzi et al., [27] German et al., [28] and Smoliner et al. [29] According to Keshavarzi et al. [27] and Krzyminska-Siemaszko et al., [30] older women were more likely than men to have malnutrition and depression. In a previous study, there was a significant negative correlation (P < 0.05) between GDS and MNA, indicating an inverse relationship between nutritional status and depression among the participants, [22] but in this study, no such significant correlation was observed. ...
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... The reference group BMI is an important factor in establishing COPs for low muscle mass [9].This research coincide with a research that shows age-related proinflammatory mediators sources that affecting osteoarthritis include a combination of factor, such as adipose tissue, as well as reduced cell activity as we age within joint tissues (cell senescence). Although cell senescence mechanism can be linked with age, inflammation, and OA, there is only small evidence that it can occur together with normal aging in joint tissues. ...
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... The first one is a poor diet and related medical conditions [5,54], such as overweight and obesity [4], metabolic syndrome [37] or malnutrition [20,35]. ...
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Background: The magnitude of malnutrition in the Parkinson's disease (PD) population has yet to be accurately quantified. Objective: We aimed to estimate and compare the prevalence of malnourished and those at risk of malnutrition in Iranian PD patients with a matched control group using the mini nutritional assessment (MNA) and anthropometric measurements. Methods: Nutritional status was evaluated in 143 Iranian PD patients (case group) and 145 age- and sex-matched healthy controls (control group) using the validated Persian version of the MNA. Individuals suffering from chronic comorbidities influencing nutritional state (hypertension and diabetes), following special diets and those with cognitive impairment were excluded. Using the MNA, a total score of <17 indicated malnutrition and scores of 17–23.5 signified cases at risk for malnutrition. Results: The mean of total MNA score was not significantly different between two study groups [24.4 (SD = 3.8) in controls vs. 25.1 (SD = 3.4) in PD patients; P = 0.094]. Three (2.1%) PD patients were suffering from malnutrition and another 37 (25.9%) were at risk of malnutrition; while in control group similar feature was observed (2.0% malnourished and 35.2% at risk of malnutrition; P = 0.228). The mean of calf circumference (CC) was significantly lower in PD patients [34.9 (SD = 3.8) cm vs. 36.0 (SD = 5.1) cm; P = 0.046]. Conclusions: Our findings indicate the same nutritional status among mild to moderate PD patients compared with healthy controls. However, more than a quarter of the PD population was found to be at risk of malnutrition necessitating more attention towards nutritional assessment in PD.
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Objectives: This study aimed to assess the nutritional status, measured by MNA, and its association with socio-demographic indicators and health related characteristics of a representative sample of community dwelling elderly subjects. Design: Cross-sectional study. Setting: Community dwelling elderly individuals living in rural communities in Lebanon. Participants: 1200 elderly individuals aged 65 years or more. Measurements: Socio-demographic indicators and health related characteristics were recorded during a standardized interview. Nutritional status was assessed through Mini Nutritional Assessment (MNA). The 5-item GDS score and the WHO-5-A score were used to assess mood, whereas Mini Mental Status (MMS) was applied to evaluate cognitive status. Results: The prevalence of malnutrition and risk of malnutrition was 8.0% respective 29.1% of the study sample. Malnutrition was significantly more frequent in elderly subjects aged more than 85 years, in females, widowed and illiterate people. Moreover, participants who reported lower financial status were more often malnourished or at risk of malnutrition. Regarding health status, poor nutritional status was more common among those reporting more than three chronic diseases, taking more than three drugs daily, suffering from chronic pain and those who had worse oral health status. Also, depressive disorders and cognitive dysfunction were significantly related to malnutrition. After multivariate analysis following variables remained independently associated to malnutrition: living in the governorate of Nabatieh (ORa 2.30, 95% CI 1.35 -3.93), reporting higher income (ORa 0.77, 95% CI 0.61-0.97), higher number of comorbidities (ORa 1.22, 95% CI 1.12-1.32), chronic pain (ORa 1.72, 95% CI 1.24-2.39), and depressive disorders (ORa 1.66, 95% CI 1.47-1.88). On the other hand, better cognitive functioning was strongly associated with decreased nutritional risk (ORa 0.27, 95%CI 0.17- 0.43). Conclusion: Our results highlighted the close relationship between health status and malnutrition. The identification of potential predictive factors may allow better prevention and management of malnutrition in elderly people.
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Background: The risk of malnutrition is widely recognized in institutional settings but few studies have been conducted among community-dwelling older people. The objective of this study was to describe the nutritional status and factors associated with possible malnutrition among community-dwelling older people. Methods: A randomly selected sample (n = 696) of persons aged ≥ 75 years were included in the study. Baseline information was obtained for nutritional status (mini nutritional assessment short-form MNA-SF), depressive symptoms (15-item geriatric depression scale), cognitive status (mini-mental state examination MMSE) and daily activities (Barthel ADL index and Lawton and Brody IADL scale), self-reported health, oral health and medication use. Univariate and multivariate regression analyses were conducted to identify demographical, clinical and functional factors associated with possible malnutrition. Results: Of the 696 participants, 15% had possible malnutrition. In the univariate analysis, low MNA-SF scores were associated with advanced age, poor self-rated health, dry mouth/chewing problems, depressive symptoms and an increasing number of drugs in regular use. Higher albumin level, ADL, IADL and MMSE scores, and the ability to walk 400 m independently were inversely associated with possible malnutrition. In the multivariate analysis, dry mouth/chewing problems (OR 2.01, 95% CI: 1.14-3.54), IADL (OR 0.85, 95% CI: 0.75-0.96) and MMSE scores (OR 0.90, 95% 0.85-0.96) were independently associated with possible malnutrition. Conclusion: Being at risk of malnutrition was common among community-dwelling older people. Problems with mouth, IADL and cognitive impairments were linked to possible nutritional risks.
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Sex differences in stress responses can be found at all stages of life and are related to both the organizational and activational effects of gonadal hormones and to genes on the sex chromosomes. As stress dysregulation is the most common feature across neuropsychiatric diseases, sex differences in how these pathways develop and mature may predict sex-specific periods of vulnerability to disruption and increased disease risk or resilience across the lifespan. The aging brain is also at risk to the effects of stress, where the rapid decline of gonadal hormones in women combined with cellular aging processes promote sex biases in stress dysregulation. In this Review, we discuss potential underlying mechanisms driving sex differences in stress responses and their relevance to disease. Although stress is involved in a much broader range of diseases than neuropsychiatric ones, we highlight here this area and its examples across the lifespan.
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Objective To assess the usefulness in different populations of elderly people in Poland of both modified versions of Mini Nutritional Assessment Short-Forms (MNA-SFs) with a three-category scoring classification: one using BMI (MNA-SF-BMI) and another using calf circumference (MNA-SF-CC). Setting and Participants A group of 932 community-dwelling subjects from the urban environment, 812 subjects from the rural environment and 859 subjects from an institutional environment (nursing homes). Measurements Agreement between both MNA-SFs and the MNA full form. Results: MNA-SF-BMI correctly classified 84.12%, 82.51% and 81.84% of subjects from urban, rural and institutional environment, respectively. For MNA-SF-CC those values were 82.4%, 71.8% and 76.6%, respectively. The sensitivity and specificity of MNA-SF-BMI and MNA-SF-CC against full MNA in screening for “at risk/malnutrition” and “malnutrition” were generally very high, except for relatively lower sensitivity (74.1%) when screening for “malnutrition” with MNA-SF-CC in nursing homes. Conclusion Both MNA-SFs can be recommended as screening tools in assessing the nutritional state of the community-dwelling and institutionalised elderly in Poland. The full version of the MNA confirmed the results of MNA-SFs in this group. The “classic” MNA-SF using BMI was found to perform better than the MNA-SF-CC. The MNA-SF-CC should be used only when measuring BMI is not possible. While using MNASF-CC in nursing homes, a higher MNA-SF-CC cut-point of eleven should be rather used in this population to screen for “at risk/malnutrition”.
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To clarify the association between nutritional status and the prevalence of geriatric conditions in dependent older adults. A cross-sectional observational study of dependent older adults aged 65years or older who were living either in the community (n = 511, mean age 81.2years) or in nursing homes (n = 587, mean age 85.2years) was carried out. Data included the participants' demographic characteristics, basic activities of daily living, Charlson Comorbidity Index and the prevalence of eight geriatric conditions (visual impairment, hearing impairment, falls, bladder control problems, cognitive impairment, impaired mobility, swallowing disturbance and loss of appetite). Nutritional status was assessed by the Mini Nutritional Assessment short form (MNA-SF). Of 1098 participants, 21.4% (n = 235) were categorized as "malnourished", according to the MNA-SF classification. Participants in the "malnourished" group had a greater number of geriatric conditions than those in the other two groups. A higher prevalence of all the geriatric conditions except for falls was detected in the group with poorer nutritional status. Multivariate logistic regression analysis showed that malnutrition was associated with the number of geriatric conditions, but not with that of comorbidities, even after controlling for confounders. Malnutrition was confirmed to have significant associations with geriatric conditions in dependent older adults. Geriatr Gerontol Int 2013; ●●: ●●-●●.
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Background & aims: Few data is available on the nutritional status of geriatric outpatients. The aim of this study is to describe the nutritional status and its clinical correlates of independently living geriatric older individuals visiting a geriatric outpatient department. Methods: From 2005 to 2010, all consecutive patients visiting a geriatric outpatient department in the Netherlands were screened for malnutrition. Nutritional status was assessed by the Mini Nutritional Assessment (MNA). Determinants of malnutrition were categorized into somatic factors (medicine use, comorbidity, walking aid, falls, urinary incontinence), psychological factors (GDS-15 depression scale, MMSE cognition scale), functional status (Activities of Daily Life (ADL), Instrumental ADL (IADL)), social factors (children, marital status), and life style factors (smoking, alcohol use). Univariate and multivariate logistic regression analyses, adjusted for age and sex and all other risk factors were performed to identify correlates of malnutrition (MNA < 17). Results: Included were 448 outpatients, mean (SD) age was 80 (7) years and 38% was men. Prevalence of malnutrition and risk for malnutrition were 17% and 58%. Depression, being IADL dependent, and smoking were independently associated with an increased risk of malnutrition with OR's (95%CI) of 2.6 (1.3-5.3), 2.8 (1.3-6.4), 5.5 (1.9-16.4) respectively. Alcohol use was associated with a decreased risk (OR 0.4 (0.2-0.9)). Conclusion: Malnutrition is highly prevalent among geriatric outpatients and is independently associated with depressive symptoms, poor functional status, and life style factors. Our results emphasize the importance of integrating nutritional assessment within a comprehensive geriatric assessment. Future longitudinal studies should be performed to examine the effects of causal relationships and multifactorial interventions.