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1

Santosa, Agus, Sri Mulatsih, and Susetyowati Susetyowati. "Identifikasi risiko malnutrisi dan evaluasi status nutrisi pasien kanker anak dengan pengobatan kemoterapi." Jurnal Gizi Klinik Indonesia 15, no. 4 (2019): 137. http://dx.doi.org/10.22146/ijcn.37015.

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Identification of malnutritional risk and nutrition status evaluation of pediatric cancer patients with chemotherapy treatmentBackground: Hospitalized childhood cancer patients had a high risk for malnutrition, either caused by the disease or effects of cancer treatment. Malnutrition in cancer patients gives negative impacts on treatment outcomes in the form of increasing morbidity and mortality rates. Nutrition screening for identifying malnutrition risks could prevent malnutrition in hospitals.Objectives: Investigating the influence of malnutrition risk during hospitalization on the changes
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2

Mosselman, Machteld J., Cas L. J. J. Kruitwagen, Marieke J. Schuurmans, and Thóra B. Hafsteinsdóttir. "Malnutrition and Risk of Malnutrition in Patients With Stroke." Journal of Neuroscience Nursing 45, no. 4 (2013): 194–204. http://dx.doi.org/10.1097/jnn.0b013e31829863cb.

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3

Lochs, Herbert, and Christos Dervenis. "Malnutrition – The Ignored Risk Factor." Digestive Diseases 21, no. 3 (2003): 196–97. http://dx.doi.org/10.1159/000074105.

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White, Jane V., Nancy Stotts, Sandra W. Jones, and Evelyn Granieri. "Managing Postacute Malnutrition (Undernutrition) Risk." Journal of Parenteral and Enteral Nutrition 37, no. 6 (2013): 816–23. http://dx.doi.org/10.1177/0148607113492339.

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5

Magdalena, M., M. Bielska, T. Czernicki, A. Marchel, and D. Szostak-Węgierek. "MON-LB261: Malnutrition and Risk of Malnutrition in Neurosurgical Patients." Clinical Nutrition 35 (September 2016): S249. http://dx.doi.org/10.1016/s0261-5614(16)30895-0.

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6

Marinho, R. C., M. S. Lopes, A. Pessoa, et al. "Agreement between malnutrition risk subjectively evaluated by physicians and malnutrition (risk) by validated instruments." Clinical Nutrition 37 (September 2018): S239. http://dx.doi.org/10.1016/j.clnu.2018.06.1849.

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7

Einav, Larisa, Ayal Hirsch, Yulia Ron, et al. "Risk Factors for Malnutrition among IBD Patients." Nutrients 13, no. 11 (2021): 4098. http://dx.doi.org/10.3390/nu13114098.

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(1) Background: Malnutrition is a highly prevalent complication in patients with inflammatory bowel diseases (IBD). It is strongly associated with poor clinical outcomes and quality of life. Screening for malnutrition risk is recommended routinely; however, current malnutrition screening tools do not incorporate IBD specific characteristics and may be less adequate for screening these patients. Therefore, we aimed to identify IBD-related risk factors for development of malnutrition. (2) Methods: A retrospective case-control study among IBD patients attending the IBD clinic of the Tel-Aviv Medi
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8

Duggal, Priya, and William A. Petri. "Does Malnutrition Have a Genetic Component?" Annual Review of Genomics and Human Genetics 19, no. 1 (2018): 247–62. http://dx.doi.org/10.1146/annurev-genom-083117-021340.

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Malnutrition is a complex disorder, defined by an imbalance, excess, or deficiency of nutrient intake. The visible signs of malnutrition are stunted growth and wasting, but malnourished children are also more likely to have delays in neurocognitive development, vaccine failure, and susceptibility to infection. Despite malnutrition being a major global health problem, we do not yet understand the pathogenesis of this complex disorder. Although lack of food is a major contributor to childhood malnutrition, it is not the sole cause. The mother's prenatal nutritional status, enteric infections, an
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9

Gusdal, Annelie K., Rose-Marie Johansson-Pajala, Marina Arkkukangas, Anna Ekholm, and Viktoria Zander. "Preventing Falls and Malnutrition among Older Adults in Municipal Residential Care in Sweden: A Registry Study." SAGE Open Nursing 7 (January 2021): 237796082110261. http://dx.doi.org/10.1177/23779608211026161.

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Introduction Older adults in municipal residential care are among the most vulnerable and in need of most care. The prevalence of negative events, such as falls and malnutrition, is increased among these older adults. The need for strategies to prevent falls and malnutrition is emphasized in guidelines and systematic, individualized risk assessments are prerequisites for adequate interventions. Objectives The overall purpose of this study was to investigate the assessed risks of, and risk factors for, falling and malnutrition and the correlations between these assessed risks among older women
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10

Kollár, Dániel, Zoltán Benedek-Tóth, András Drozgyik, F. Tamás Molnár, and Attila Oláh. "A perioperatív tápláltsági állapot mint kockázati tényező az onkológiai sebészetben." Orvosi Hetilap 162, no. 13 (2021): 504–13. http://dx.doi.org/10.1556/650.2021.31987.

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Összefoglaló. Bevezetés: A tumorsebészetben a malnutritio független rizikófaktor. A kockázatcsökkentés egyik fontos eleme a perioperatív tápláltsági állapot felmérésén alapuló klinikai táplálás. Az irodalomban jól dokumentált az időben végzett rizikószűrés fontossága, de ennek módja, különösen hazai környezetben, kidolgozatlanabb. Célkitűzés: A malnutritio szempontjából esendőbb csoportot alkotó onkológiai sebészeti betegek azonosíthatóságának igazolása, a szűrési metódus vizsgálata. Módszer: 2016. október és 2018. november között öt kórcsoportban (emlő, máj, pancreas, mellkas, gyomor-bél rend
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11

Bocock, Mary Ann, Heather H. Keller, and Paula M. Brauer. "Defining Malnutrition Risk For Older Home Care Clients." Canadian Journal of Dietetic Practice and Research 69, no. 4 (2008): 171–76. http://dx.doi.org/10.3148/69.4.2008.171.

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Purpose: The Resident Assessment Instrument–Home Care (RAI-HC) is widely used to assess needs of home care clients and includes five items used to screen for malnutrition. This study involved defining malnutrition risk and identifying other items within the RAI-HC that might improve malnutrition screening among adults aged 65 or older receiving home care. Methods: A literature review, three focus groups of community care access centre case managers (n=29), and five key informant interviews with registered dietitians were used to identify malnutrition risk factors and indicators. A nominal grou
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Pirlich, Matthias, Tatjana Schütz, Martin Kemps, et al. "Social risk factors for hospital malnutrition." Nutrition 21, no. 3 (2005): 295–300. http://dx.doi.org/10.1016/j.nut.2004.06.023.

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13

Karl, Alexander, Peter Rittler, Alexander Buchner, Vincent Fradet, Sebastian Walther, and Christian G. Stief. "RISK OF MALNUTRITION IN UROLOGICAL PATIENTS." Journal of Urology 181, no. 4S (2009): 8. http://dx.doi.org/10.1016/s0022-5347(09)60033-1.

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14

Hogan, Michelle. "Malnutrition-Inflammation Modifies Cardiovascular Risk Relationships." Nephrology Times 3, no. 10 (2010): 6–7. http://dx.doi.org/10.1097/01.nep.0000390697.15085.04.

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15

Bakkaloglu, O. K., and B. Saka. "Malnutrition risk assesment of adult inpatients." Clinical Nutrition 37 (September 2018): S236. http://dx.doi.org/10.1016/j.clnu.2018.06.1839.

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16

Raman, Leela. "Maternal risk factors in intrauterine malnutrition." Indian Journal of Pediatrics 54, no. 4 (1987): 503–10. http://dx.doi.org/10.1007/bf02749043.

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17

Arora, N. K. "Maternal risk factors in intrauterine malnutrition." Indian Journal of Pediatrics 55, no. 2 (1988): 339–40. http://dx.doi.org/10.1007/bf02722217.

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18

Figueiroa, S., M. Steffy, A. Dourney, et al. "Sepsis, Malnutrition, and Hospital Readmission Risk." Journal of the Academy of Nutrition and Dietetics 121, no. 9 (2021): A31. http://dx.doi.org/10.1016/j.jand.2021.06.086.

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19

Stratton, Rebecca J., and Marinos Elia. "Deprivation linked to malnutrition risk and mortality in hospital." British Journal of Nutrition 96, no. 5 (2006): 870–76. http://dx.doi.org/10.1017/bjn20061852.

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This study aimed to investigate the link between deprivation and in-hospital malnutrition and to assess any independent and interrelated effects of deprivation and malnutrition on clinical outcome in hospital. One thousand patients (mean age 71 (sd 19) years, mean BMI 25·6 (sd 5·4) kg/m2) were screened for malnutrition (using the Malnutrition Universal Screening Tool (‘MUST’)) and their clinical outcome assessed prospectively. The deprivation of patients' locality of residence prior to admission was recorded using the Index of Multiple Deprivation 2000 (IMD). Patients with medium and high maln
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20

Korwel, K. M., H. Hjortswang, M. Eberhardson, and K. Pihl Lesnovska. "P023 Prevalence of malnutrition, risk of malnutrition and quality of life among patients with Inflammatory Bowel Disease." Journal of Crohn's and Colitis 16, Supplement_1 (2022): i147—i148. http://dx.doi.org/10.1093/ecco-jcc/jjab232.152.

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Abstract Background The relapsing and remitting course of inflammatory bowel disease (IBD) with inflammation and gut symptoms may result in an elevated risk of malnutrition and impaired quality of life. Patients with pro-longed active IBD are at the highest risk of developing impaired nutritional status. The aim of this study was to determine the prevalence of malnutrition and risk of malnutrition in outpatients with inflammatory bowel disease. Furthermore, to study their body composition, identify factors associated with malnutrition and investigate the association between malnutrition and qu
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21

STEPHENSON, L. S., M. C. LATHAM, and E. A. OTTESEN. "Global malnutrition." Parasitology 121, S1 (2000): S5—S22. http://dx.doi.org/10.1017/s0031182000006478.

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The four most important forms of malnutrition worldwide (protein-energy malnutrition, iron deficiency and anaemias (IDA), vitamin A deficiency (VAD), and iodine deficiency disorders (IDD)) are examined below in terms of their global and regional prevalences, the age and gender groups most affected, their clinical and public health consequences, and, especially, the recent progress in country and regional quantitation and control. Zinc deficiency, with its accompanying diminished host resistance and increased susceptibility to infections, is also reviewed. WHO estimates that malnutrition (under
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22

JEYASEELAN, L., and M. LAKSHMAN. "RISK FACTORS FOR MALNUTRITION IN SOUTH INDIAN CHILDREN." Journal of Biosocial Science 29, no. 1 (1997): 93–100. http://dx.doi.org/10.1017/s002193209700093x.

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Protein energy malnutrition is a major health problem in India and it affects the growth and development of young children. This study investigated the impact of hygiene, housing and sociodemographic variables on acute malnutrition in children aged 5–7, living in urban and rural areas. Ordinal logistic regression analysis showed that the overall prevalence of severe malnutrition was 8·2%. Older age, male sex, mother's poor education, lower family income, higher birth order of the child, use of dung or fire wood as fuel and defecation within the premises were significantly associated with malnu
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23

Gutiérrez-Gómez, Tranquilina, Ernesto Cortés, Antonio Palazón-Bru, Isabel Peñarrieta-de Córdova, Vicente Francisco Gil-Guillén, and Rosa María Ferrer-Diego. "Six simple questions to detect malnutrition or malnutrition risk in elderly women." PeerJ 3 (October 13, 2015): e1316. http://dx.doi.org/10.7717/peerj.1316.

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Of the numerous instruments available to detect nutritional risk, the most widely used is the Mini Nutritional Assessment (MNA), but it takes 15–20 min to complete and its systematic administration in primary care units is not feasible in practice. We developed a tool to evaluate malnutrition risk that can be completed more rapidly using just clinical variables. Between 2008 and 2013, we conducted a cross-sectional study of 418 women aged ≥60 years from Mexico. Our outcome was positive MNA and our secondary variables included were: physical activity, diabetes mellitus, hypertension, educationa
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24

Zhang, Guitao, Yuesong Pan, Runhua Zhang, et al. "Prevalence and Prognostic Significance of Malnutrition Risk in Patients With Acute Ischemic Stroke: Results From the Third China National Stroke Registry." Stroke 53, no. 1 (2022): 111–19. http://dx.doi.org/10.1161/strokeaha.121.034366.

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Background and Purpose: To investigate the prevalence of malnutrition risk in patients with acute ischemic stroke (AIS) at admission, the association between malnutrition risk and long-term outcomes, and whether the predictive ability would be improved after adding to previous prognostic models for poor outcomes. Methods: Based on the Third China National Stroke Registry data from August 2015 to March 2018, we evaluated malnutrition risk using objective scores, including the controlling nutritional status score, geriatric nutritional risk index, and prognostic nutritional index. The primary ou
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25

Andersen, Aino Leegaard, Rikke Lundsgaard Nielsen, Morten Baltzer Houlind, et al. "Risk of Malnutrition upon Admission and after Discharge in Acutely Admitted Older Medical Patients: A Prospective Observational Study." Nutrients 13, no. 8 (2021): 2757. http://dx.doi.org/10.3390/nu13082757.

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There is a lack of knowledge about malnutrition and risk of malnutrition upon admission and after discharge in older medical patients. This study aimed to describe prevalence, risk factors, and screening tools for malnutrition in older medical patients. In a prospective observational study, malnutrition was evaluated in 128 older medical patients (≥65 years) using the Nutritional Risk Screening 2002 (NRS-2002), the Mini Nutritional Assessment-Short Form (MNA-SF) and the Eating Validation Scheme (EVS). The European Society of Clinical Nutrition (ESPEN) diagnostic criteria from 2015 were applied
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FRAGAS, Roberta Flores Marquezini, and Maria Conceição de OLIVEIRA. "Risk factors associated with malnutrition in hospitalized patients." Revista de Nutrição 29, no. 3 (2016): 329–36. http://dx.doi.org/10.1590/1678-98652016000300003.

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ABSTRACT Objective To identify factors associated with malnutrition in patients hospitalized in general public hospitals of the city of Manaus, Amazonas, Brazil. Methods This cross-sectional study included 397 patients of both sexes aged more than 18 years, staying at three public hospitals in Manaus, Amazonas. The patients were submitted to anthropometric and subjective global assessments, the latter being the main diagnostic method. For association analyses between malnutrition (dependent variable) and other covariates, we used contingency table for variable selection and multiple logistic r
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Khan, Mazhar, Irum Naz, Farida Shirazi, Rifayat Ullah Afridi, Aneela Ambreen, and Durr E. Nayab. "Risk Factors of Protein Calorie Malnutrition Under Five Years; Tertiary Care Hospitals, Peshawar." Journal of Gandhara Medical and Dental Science 6, no. 2 (2020): 3–9. http://dx.doi.org/10.37762/jgmds.6-2.92.

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 ABSTRACT:
 OBJECTIVES:
 The purpose of this study was to know about the risk factors of malnutrition and the incidence of risk factors among known cases of malnutrition admitted in tertiary care hospitals of Peshawar.
 METHODOLOGY:
 A descriptive cross-sectional study was done. Study was conducted in tertiary care hospitals of Peshawar from March 2019 to July 2019. Study included 100 patients of protein calorie malnutrition less than five years of age. Internationally recognized Gomez classification was used to label patient as malnourished. Risk
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Poulimeneas, Dimitrios, Maria G. Grammatikopoulou, Argyri Petrocheilou, Athanasios G. Kaditis, and Tonia Vassilakou. "Triage for Malnutrition Risk among Pediatric and Adolescent Outpatients with Cystic Fibrosis, Using a Disease-Specific Tool." Children 7, no. 12 (2020): 269. http://dx.doi.org/10.3390/children7120269.

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Malnutrition prevails in considerable proportions of children with Cystic Fibrosis (CF), and is often associated with adverse outcomes. For this, routine screening for malnutrition is pivotal. In the present cross-sectional study, we aimed to assess the risk for malnutrition in pediatric outpatients with CF. A total of 76 outpatients (44 girls, 11.9 ± 3.9 years old, 39.5% adolescents) were recruited and anthropometric, clinical, dietary and respiratory measures were collected. All outpatients were screened for malnutrition risk with a validated disease-specific instrument. Most children exhibi
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Carrier, Natalie, Denise Ouellet, and Gale E. West. "Nursing Home Food Services Linked with Risk of Malnutrition." Canadian Journal of Dietetic Practice and Research 68, no. 1 (2007): 14–20. http://dx.doi.org/10.3148/68.1.2007.14.

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Purpose: Links between food service characteristics and residents’ risk of malnutrition were examined. Methods: Cognitively intact residents meeting inclusion criteria and living in one of 38 participating nursing homes were randomly sampled. The final sample consisted of 132 residents, who were screened for risk of malnutrition and completed a face-to-face interview questionnaire about dining experiences. Additional data came from participants’ medical charts, and each institution's food service manager completed a written questionnaire. Frequencies and logistic regressions were used to descr
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30

Sharashkina, N. V., N. K. Runikhina, and O. N. Tkacheva. "Nurse protocol: nutrition and malnutrition assessment." Russian Journal of Geriatric Medicine, no. 1 (February 14, 2020): 93–97. http://dx.doi.org/10.37586/2686-8636-1-2020-93-97.

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Hospitalized older adults are at risk of malnutrition. Nurses should carefully assess and monitor the nutritional status of the older hospitalized patient so that appropriate nutrition-related interventions can be implemented in timely fashions.Elderly patients are at risk of malnutrition due to dietary, economic, psychological and physiological factors. Older people are at risk of developing malnutrition. This condition or the risk of its development is observed in 39–47% of hospitalized elderly patients. The use of the Mini-Nutritional Assessment (MNA) is recommended to identify malnutrition
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31

Safira, Nur Laila, Enny Probosari, Aryu Candra, Fitriyono Ayustaningwarno, and Ayu Rahadiyanti. "HUBUNGAN DISFAGIA DENGAN MALNUTRISI PADA LANJUT USIA : STUDI LITERATUR." Journal of Nutrition College 10, no. 4 (2021): 257–72. http://dx.doi.org/10.14710/jnc.v10i4.31008.

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Background: Dysphagia can lead to a decrease in nutritional status and increased risk of malnutrition in the elderly. The incidence of dysphagia often undetected, especially among the elderly in the community, causes the prevalence of the elderly at risk of dysphagia in the elderly to increase.Objective: The aims of this literature study was to review the latest research related to dysphagia with malnutriton in the elderly. Method: The search for 2011 – 2021 English-language articles was carried out on the PubMed, SpringerLink, ScienceDirect, DOAJ, and ResearchGate databases using the keyword
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32

Kvamme, Jan-Magnus, Ole Grønli, Bjarne K. Jacobsen, and Jon Florholmen. "Risk of malnutrition and zinc deficiency in community-living elderly men and women: the Tromsø Study." Public Health Nutrition 18, no. 11 (2014): 1907–13. http://dx.doi.org/10.1017/s1368980014002420.

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AbstractObjectiveElderly people may be at particular risk of Zn deficiency due to an increased prevalence of malnutrition. The aim of the present study was to evaluate the Zn status in community-living elderly people at risk of malnutrition.DesignCross-sectional population-based survey. Individuals at risk of malnutrition were identified by the Malnutrition Universal Screening Tool. Zn status was assessed by measuring serum Zn. Logistic regression was performed to evaluate the association between the risk of malnutrition and Zn deficiency.SettingMunicipality of Tromsø, Norway.SubjectsRandom sa
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33

Park, Jin-Hwa, Minkoo Kang, Dae-Won Jun, Mimi Kim, Joo-Hee Kwak, and Bo-kyeong Kang. "Determining Whether Low Protein Intake (<1.0 g/kg) Is a Risk Factor for Malnutrition in Patients with Cirrhosis." Journal of Clinical Medicine 10, no. 10 (2021): 2164. http://dx.doi.org/10.3390/jcm10102164.

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Background: The prevalence of malnutrition in patients with cirrhosis is considerably high. Body mass index (BMI) is a well-known risk factor for malnutrition, but the other risk factors are unknown. We investigated the prevalence of malnutrition and its risk factors in patients with cirrhosis. Methods: In total, 361 patients with cirrhosis were enrolled. Muscle quality and quantity were retrospectively assessed using the grip strength test and bioelectrical impedance analysis. Subjective global assessment (SGA) of malnutrition and dietary intake assessments were performed by a clinical dietic
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34

Poudel, Anshu, Nisha K. Bhatta, Mohan Chandra Regmi, Lokraj Shah, and Rajan Paudel. "Assessment of Common Maternal Risk Factors in Fetal Malnutrition." Birat Journal of Health Sciences 6, no. 1 (2021): 1377–82. http://dx.doi.org/10.3126/bjhs.v6i1.37641.

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Introduction: Nutritional assessment of the newborn gives the reflection of the growth process in the intrauterine period. The Clinical Assessment of Fetal Nutritional Status score (CAN score) method is only the method to assess the fetal malnutrition which includes the clinical observation for the presence of the sign of malnutrition in newborns. Since the fetal growth is related to availability of intrauterine nutrition and placental function, there may be several maternal factors associated with the fetal malnutrition.&#x0D; Objectives: The main objective of the study was to determine the p
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35

Damião, Renata, Álvaro da Silva Santos, Alicia Matijasevich, and Paulo Rossi Menezes. "Factors associated with risk of malnutrition in the elderly in south-eastern Brazil." Revista Brasileira de Epidemiologia 20, no. 4 (2017): 598–610. http://dx.doi.org/10.1590/1980-5497201700040004.

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ABSTRACT: Objective: The aim of this study was to evaluate the prevalence of malnutrition risk and its association with socioeconomic, behavioral, and health characteristics in the community-dwelling elderly. Methods: A cross-sectional study with individuals aged ≥ 60 years. Nutritional status was evaluated using the Mini Nutritional Assessment. Socioeconomic, behavioral, and health information was also collected from all participants. The association between each variable and the risk of malnutrition was calculated and adjusted using Poisson hierarchical regression. Results: The initial sampl
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Rosa, Carolina Böettge, Solange Beatriz Billig Garces, Dinara Hansen, et al. "Malnutrition risk and hospitalization in elderly assisted in Primary Care." Ciência & Saúde Coletiva 22, no. 2 (2017): 575–82. http://dx.doi.org/10.1590/1413-81232017222.15732016.

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Abstract The aim of this study was to investigate the association of malnutrition risk and single items of the Mini Nutritional Assessment (MNA®) with hospitalization in the last 12 months in the elderly assisted in primary care. A cross-sectional study was conducted with the evaluation of 1229 elderly persons assisted in Family Health Strategies in seven cities of South Brazil. Malnutrition risk was evaluated using the MNA®, and hospitalization was determined by one question of the Probability of Repeated Admission (PRA) instrument. Most of the elderly were women (61.7%), with a mean age of 7
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van Vliet, Iris M. Y., Antonio W. Gomes-Neto, Margriet F. C. de Jong, Stephan J. L. Bakker, Harriët Jager-Wittenaar, and Gerjan J. Navis. "Malnutrition screening on hospital admission: impact of overweight and obesity on comparative performance of MUST and PG-SGA SF." European Journal of Clinical Nutrition 75, no. 9 (2021): 1398–406. http://dx.doi.org/10.1038/s41430-020-00848-4.

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Abstract Background/objectives Traditional malnutrition screening instruments, including the Malnutrition Universal Screening Tool (MUST), strongly rely on low body mass index (BMI) and weight loss. In overweight/obese patients, this may result in underdetection of malnutrition risk. Alternative instruments, like the Patient-Generated Subjective Global Assessment Short Form (PG-SGA SF), include characteristics and risk factors irrespective of BMI. Therefore, we aimed to compare performance of MUST and PG-SGA SF in malnutrition risk evaluation in overweight/obese hospitalized patients. Subjects
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Syuhada, Khreshna, Dessie Wanda, Risti Nur’aini, Chairun Ardiantari, and Ayu Susilo. "Statistical Risk Characteristics and Risk Scoring of Hospital-Acquired Malnutrition for Pediatric Patients." Journal of Nutrition and Metabolism 2020 (June 9, 2020): 1–8. http://dx.doi.org/10.1155/2020/4305487.

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Background. Malnutrition is a global health problem and challenge for every country. It may occur in any form and affect all levels of age including children. We pay particular attention to the so-called hospital-acquired malnutrition (HaM) for pediatric patients. Our aim was to explore statistical risk factors or characteristics as well as to forecast risk scoring for such malnutrition. Methods. This study employed a cross-sectional design involving children from 1 month to 18 years of age who were hospitalized for at least 72 hours. We used secondary data from 308 medical records of pediatri
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Sudarmanto, Bambang, and Citra Primavita. "Disease-related malnutrition in children with cancer: What’s the risk and the impact on patient's outcome?" World Nutrition Journal 5, no. i2 (2022): 42–51. http://dx.doi.org/10.25220/wnj.v05.i2.0007.

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Background: Malnutrition in children with cancer is a common problem, particularly in low-income countries. Risk factors, effects on outcome, and feasible interventions are important to comprehend in managing patients.&#x0D; Objectives: To know the risk and impact of malnutrition in children with patients.&#x0D; Discusion: Children with cancer are at risk of suffering from malnutrition. Malnutrition occurs due to energy imbalance and results from multifactorial interactions, including type of tumors and therapy. Malnutrition can contribute to poor clinical outcome and decreased quality of life
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40

Avila, Jaqueline C., Rafael Samper-Ternent, and Rebeca Wong. "Malnutrition Risk among Older Mexican Adults in the Mexican Health and Aging Study." Nutrients 13, no. 5 (2021): 1615. http://dx.doi.org/10.3390/nu13051615.

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Few studies assess the malnutrition risk of older Mexican adults because most studies do not assess nutritional status. This study proposes a modified version of the Mini Nutritional Assessment (MNA) to assess the risk of malnutrition among older Mexicans adults in the Mexican Health and Aging Study (MHAS). Data comes from the 2012, 2015, and 2018 waves of the MHAS, a nationally representative study of Mexicans aged 50 and older. The sample included 13,338 participants and a subsample of 1911 with biomarker values. ROC analysis was used to calculate the cut point for malnutrition risk. This cu
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41

Madril, Peter, Paige Golian, Marcia Nahikian-Nelms, Alice Hinton, Philip A. Hart, and Kristen M. Roberts. "Identification of Malnutrition Risk Using Malnutrition Screening Tool in an Ambulatory Pancreas Clinic." Pancreas 51, no. 1 (2022): 94–99. http://dx.doi.org/10.1097/mpa.0000000000001954.

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42

Einav, L., A. Hirsch, Y. Ron, et al. "P511 Disease-specific risk factors for malnutrition development in IBD." Journal of Crohn's and Colitis 15, Supplement_1 (2021): S491—S492. http://dx.doi.org/10.1093/ecco-jcc/jjab076.633.

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Abstract Background Patients with inflammatory bowel diseases (IBD) are at risk of malnutrition, which is associated with considerable disease related complications. Most available screening tools for malnutrition risk such as the malnutrition universal screening tool (MUST), do not incorporate malnutrition-promoting characteristics of IBDs. Therefore, we aimed to detect disease-specific risk factors for malnutrition development in IBD, which may be incorporated in future malnutrition screening tools. Methods A retrospective case-control study, in which detailed information regarding IBD patie
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43

Kiesswetter, Eva, Miriam G. Colombo, Christa Meisinger, et al. "Malnutrition and related risk factors in older adults from different health-care settings: an enable study." Public Health Nutrition 23, no. 3 (2019): 446–56. http://dx.doi.org/10.1017/s1368980019002271.

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AbstractObjective:The origin of malnutrition in older age is multifactorial and risk factors may vary according to health and living situation. The present study aimed to identify setting-specific risk profiles of malnutrition in older adults and to investigate the association of the number of individual risk factors with malnutrition.Design:Data of four cross-sectional studies were harmonized and uniformly analysed. Malnutrition was defined as BMI &lt; 20 kg/m2 and/or weight loss of &gt;3 kg in the previous 3–6 months. Associations between factors of six domains (demographics, health, mental
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44

Ben-Ishay, Offir, Haya Gertsenzon, Tanya Mashiach, Yoram Kluger, and Irit Chermesh. "Malnutrition in Surgical Wards: A Plea for Concern." Gastroenterology Research and Practice 2011 (2011): 1–4. http://dx.doi.org/10.1155/2011/840512.

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Background. Malnutrition in hospitalized patients is underdiagnosed, with 30 to 60% of patients admitted being malnourished. The objective of this study was to investigate the nutritional status of patients in a general surgery ward and to define the correlation between the risk of malnutrition and the hospital course and clinical outcome.Study design. The study group included 100 consecutive patients admitted to a general surgery ward who were ambulant and could undergo the Malnutrition Universal Screening Tool (MUST).Results. Thirty-two patients (33%) had aMUST score of 2 or higher, and were
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45

Khaing, Hnin Thiri, Shuhei Nomura, Daisuke Yoneoka, Peter Ueda, and Kenji Shibuya. "Risk factors and regional variations of malnutrition among children under 5 in Myanmar: cross-sectional analyses at national and subnational levels." BMJ Open 9, no. 9 (2019): e030894. http://dx.doi.org/10.1136/bmjopen-2019-030894.

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ObjectiveThe levels, distributions of child malnutrition and its potential risk factors are not very well known in Myanmar. The objectives included in this study were: to estimate the current national and subnational prevalence of four types of malnutrition (stunting, wasting, underweight and overweight) among children under 5 in Myanmar; to identify potential risk factors associated with each type of malnutrition and to investigate how the identified risk factors’ distributions explained the regional disparities in malnutrition prevalence.Design/methodsData from the Myanmar Demographic and He
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Guigoz, Yves, Sylvie Lauque, and Bruno J. Vellas. "Identifying the elderly at risk for malnutrition." Clinics in Geriatric Medicine 18, no. 4 (2002): 737–57. http://dx.doi.org/10.1016/s0749-0690(02)00059-9.

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47

Worcester, Sharon. "Maternal Malnutrition, Smoking Raise Fetal Gastroschisis Risk." Internal Medicine News 39, no. 2 (2006): 24. http://dx.doi.org/10.1016/s1097-8690(06)72683-x.

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48

Tomkins, Andrew M. "Protein–energy malnutrition and risk of infection." Proceedings of the Nutrition Society 45, no. 3 (1986): 289–304. http://dx.doi.org/10.1079/pns19860067.

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49

Falutz, Julian, Allan Huang, Lisa Callow, and Donna Haddad. "A Short Questionnaire Estimating Risk of Malnutrition." Journal of the American Geriatrics Society 40, no. 9 (1992): 976. http://dx.doi.org/10.1111/j.1532-5415.1992.tb02001.x.

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50

Alves, S. C., R. Salvado, and C. V. Oliveira. "Risk of malnutrition and other co-morbidities." European Journal of Internal Medicine 24 (October 2013): e262. http://dx.doi.org/10.1016/j.ejim.2013.08.677.

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