Factors Affecting Malnutrition in Hemodialysis Patients

Park, Ok Lae; Jang, Young Jun; Jung, Jong Hwan; Kim, Sung Reul

doi:10.7475/kjan.2016.28.2.226

Cited by 5 publications

(4 citation statements)

References 18 publications

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“…This finding is consistent with studies reporting that social support is a significant factor correlated with nutritional risks . In this study, the mean score on the SNAQ was 14.5; this finding was similar to those in previous studies on chronic diseases, with 13.3 in patients with gynecologic cancer and 13.4 in patients with hemodialysis . The score was, however, lower than the 15.5 previously obtained in community‐dwelling older adults .…”

Section: Discussionsupporting

confidence: 92%

“…[42][43][44] In this study, the mean score on the SNAQ was 14.5; this finding was similar to those in previous studies on chronic diseases, with 13.3 in patients with gynecologic cancer 26 and 13.4 in patients with hemodialysis. 27 The score was, however, lower than the 15.5 previously obtained in community-dwelling older adults. 45 Appetite was a significant factor related to malnutrition in patients with gynecologic cancer, 26 peritoneal dialysis, 46 and inflammatory bowel disease.…”

Section: Discussioncontrasting

confidence: 60%

“…25 The SNAQ includes four questions, and scores on the SNAQ range from 4 to 20, with higher scores indicating a better appetite. The Korean version of the SNAQ has wellestablished validity, 26 and Cronbach's alpha for the scale was 0.81 in a previous study 27 and 0.72 in this study.…”

Section: Simplified Nutritional Appetite Questionnairesupporting

confidence: 63%

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Factors related to malnutrition in community‐dwelling patients with schizophrenia

Kim

et al. 2018

Perspect Psychiatr Care

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Purpose This study aims to identify demographic, clinical, and nutritional factors related to malnutrition in community‐dwelling patients with schizophrenia. Design and Methods We used a descriptive cross‐sectional design. Between June and July 2016, 188 community‐dwelling patients with schizophrenia were included in this study. Findings Of the 188 participants, 4.3% were classified as malnourished, and 40.4% were at risk of malnutrition. Living status, body weight, and appetite were significant factors related to malnutrition in community‐dwelling patients with schizophrenia. Practice Implication Assessment of nutritional status should be considered along with demographic and nutritional factors in community‐dwelling patients with schizophrenia.

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Section: Discussionsupporting

confidence: 92%

Section: Discussioncontrasting

confidence: 60%

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Factors related to malnutrition in community‐dwelling patients with schizophrenia

Kim

et al. 2018

Perspect Psychiatr Care

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“…The studies have shown that individuals with poor nutritional status exhibit lower levels of self-care behavior [14], while individuals with good nutritional status experience lower levels of hemodialysis-related stress [12]. Moreover, better social support is associated with good nutritional status [15], and these findings confirm that the nutritional status of hemodialysis patients is closely related to dialysis-related stress, social support, and self-care behavior. Although previous studies have identified factors that contribute to the development of hyperphosphatemia in hemodialysis patients, there is limited research that systematically and comprehensively analyzes variables such as nutritional and dialysis-related blood parameters, subjective nutritional status, dialysis-related stress, social support, and self-care behaviors.…”

Section: Introductionmentioning

confidence: 65%

Factors Affecting Hyperphosphatemia in Patients with Chronic Renal Failure Undergoing Hemodialysis

kim

2023

J Korean Acad Fundam Nurs

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Purpose: The purpose of this study was to investigate the status of hyperphosphatemia in patients with chronic renal failure (CRF) and to examine the effects of dialysis-related characteristics, nutritional status, self-care, stress, and social support on hyperphosphatemia.Methods: This descriptive research study was designed to identify factors influencing the development of hyperphosphatemia in patients diagnosed with CRF. A convenience sample of 150 patients receiving hemodialysis was selected. Data were collected directly by the researchers from January to March 2022.Results: The regression model showed statistically significant results (x2=137.24, p<.001). Regression analysis demonstrated that body mass index (BMI) and blood urea nitrogen (BUN) were predictive factors. The risk of hyperphosphatemia was 3.09 times (95% CI, 1.15~8.25) higher for a BMI ≥25 kg/m2 than for a BMI 18.5-22.9 kg/m2. The risk of hyperphosphatemia increased by 1.04 times (95% CI, 1.01~1.07) as the BUN levels increased.Conclusion: BMI and BUN were identified as major predictive factors for hyperphosphatemia, which confirms the importance of nutritional intake in dialysis patients. To prevent hyperphosphatemia in hemodialysis patients, regular monitoring for dietary and nutritional status and nutrition education based on the results of monitoring should be carried out. Interdisciplinary strategies are also needed to prevent hyperphosphatemia.

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A health‐related quality of life model for patients undergoing haemodialysis

Jung

Kim

2019

Journal of Clinical Nursing

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Aims and objectivesThis study aimed to construct and verify a model that explains and predicts the health‐related quality of life in patients undergoing haemodialysis.BackgroundIndividual and disease‐related characteristics, social support, physical and emotional symptoms, patient role adherence and perceived health status may be interrelated and might affect the health‐related quality of life of patients undergoing haemodialysis directly or indirectly.DesignA correlational, cross‐sectional research design was used.MethodsParticipants were 202 patients undergoing haemodialysis at one of the seven nephrology clinics specified in this study. A structured questionnaire was used to collect data from September–November 2017. The collected data were analysed using spss version 25.0® and amos 23.0. This study adhered to the STROBE guideline.ResultsThe hypothetical model with 13 of the 15 analysed paths showed a good fit to the empirical data: χ2 = 85.67 (p < .001), normed χ2 = 2.14, GFI = 0.94, CFI = 0.97, NFI = 0.94, TLI = 0.94, RMSEA = 0.08, and RMSR = 0.04. Symptoms (fatigue, quality of sleep, and depression), environmental (social support) and individual (age) characteristics and general health perception had a direct effect on health‐related quality of life. Additionally, individual and environment characteristics affected health‐related quality of life through biological functions, symptoms, functional status and general health perception. These variables explained 78.6% of the variation in health‐related quality of life.ConclusionsTo improve health‐related quality of life in patients undergoing haemodialysis, systematic and integrated intervention programmes need to be developed and applied considering a variety of factors related to health‐related quality of life.Relevance to clinical practiceIndividual and environment characteristics, biological functions, symptoms, functional status and general health perception should be systematically monitored to improve the health‐related quality of life of patients on haemodialysis. It is also necessary to develop detailed interventions that consider all these factors.

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Factors Affecting Malnutrition in Hemodialysis Patients

Cited by 5 publications

References 18 publications

Factors related to malnutrition in community‐dwelling patients with schizophrenia

Factors related to malnutrition in community‐dwelling patients with schizophrenia

Factors Affecting Hyperphosphatemia in Patients with Chronic Renal Failure Undergoing Hemodialysis

A health‐related quality of life model for patients undergoing haemodialysis

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