Socioeconomic Risk Factors of Poor Nutritional Status in Polish Elderly Population: The Results of PolSenior2 Study

Krzymińska‐Siemaszko, Roma; Deskur-Śmielecka, Ewa; Kaluźniak-Szymanowska, Aleksandra; Kaczmarek, Beata; Kujawska-Danecka, Hanna; Klich-Rączka, Alicja; Mossakowska, Małgorzata; Małgorzewicz, Sylwia; Dworak, Lechosław B; Kostka, Tomasz; Chudek, Jerzy; Wieczorowska‐Tobis, Katarzyna

doi:10.3390/nu13124388

Cited by 15 publications

(18 citation statements)

References 38 publications

(70 reference statements)

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“…In old patients, loneliness is recognized as an independent factor associated with poor nutritional status. Old people show a greater risk of reduced social relationships, isolation at home, and fewer opportunities to socialize with other people [55,56]. Nutritional status is further affected by marital status since unmarried subjects present with a higher risk of malnutrition [57,58].…”

Section: Risk Factors For Malnutrition In Hospitalized Patientsmentioning

confidence: 99%

Malnutrition in Hospitalized Old Patients: Screening and Diagnosis, Clinical Outcomes, and Management

et al. 2022

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Malnutrition in hospitalized patients heavily affects several clinical outcomes. The prevalence of malnutrition increases with age, comorbidities, and intensity of care in up to 90% of old populations. However, malnutrition frequently remains underdiagnosed and undertreated in the hospital. Thus, an accurate screening to identify patients at risk of malnutrition or malnourishment is determinant to elaborate a personal nutritional intervention. Several definitions of malnutrition were proposed in the last years, affecting the real frequency of nutritional disorders and the timing of intervention. Diagnosis of malnutrition needs a complete nutritional assessment, which is often challenging to perform during a hospital stay. For this purpose, various screening tools were proposed, allowing patients to be stratified according to the risk of malnutrition. The present review aims to summarize the actual evidence in terms of diagnosis, association with clinical outcomes, and management of malnutrition in a hospital setting.

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Section: Risk Factors For Malnutrition In Hospitalized Patientsmentioning

confidence: 99%

Malnutrition in Hospitalized Old Patients: Screening and Diagnosis, Clinical Outcomes, and Management

et al. 2022

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“…Poor nutritional status is an important lifestyle factor implicated in the etiology of body composition abnormalities. Impaired nutritional status in older adults may result from an inappropriate diet and socio-economic factors such as poverty or feelings of loneliness after the death of a spouse [ 13 , 14 ]. Older persons are at higher risk of impaired nutritional status [ 15 ].…”

Section: Introductionmentioning

confidence: 99%

Sarcopenia, Obesity, Sarcopenic Obesity and Risk of Poor Nutritional Status in Polish Community-Dwelling Older People Aged 60 Years and Over

Murawiak

Krzymińska‐Siemaszko

Kaluźniak-Szymanowska

et al. 2022

Nutrients

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Poor nutritional status (PNS) is a modifiable factor determining abnormalities in body composition-sarcopenia, obesity, and sarcopenic obesity (SO). We aimed to assess the prevalence of these conditions and their association with PNS in 211 community-dwelling older adults. Sarcopenia was diagnosed based on the European Working Group on Sarcopenia in Older People 2 (EWGSOP2) recommendations. Obesity was diagnosed with the Percent Body Fat (>42% in women and >30% in men). Subjects fulfilling the criteria for obesity and concomitantly with reduced lower and/or upper limbs muscle strength and muscle mass (ALM/BMI < 0.512 in women and <0.789 in men) were classified as SO phenotype. Participants without obesity and sarcopenia were categorized as ‘normal’ phenotype. Nutritional status was estimated with the Mini Nutritional Assessment, and a score of <24 indicated PNS. In total, 49.8% participants had abnormal body composition (60.7% men and 42.5% women; p = 0.001). Sarcopenia, obesity, and SO were diagnosed in 10%, 32.7%, and 7.1% of subjects. PNS was found in 31.3% of the study sample. Its prevalence differed between phenotypes: 81% in sarcopenia, 60% in SO, 14.5% in obesity, and 28.3% in the ‘normal’ phenotype group (p = 0.000). Based on the results, abnormal body composition is prevalent in elderly subjects. Sarcopenia and SO are often associated with PNS.

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“…Indirect factors, such as low educational level and poverty, may lead to malnutrition by activating one of these three principal conditions. Sociodemographic characteristics are well-known predictors of such indirect factors, thus, some sociodemographic characteristics can predict malnutrition in older adults (Krzyminska-Siemaszko et al, 2021 ). A recent systematic review and meta analysis of 40 studies from various countries (Besora-Moreno et al, 2020 ) and 45 studies on Indian population (Kushwaha et al, 2020 ) assessing the risk of malnutrition in various older adult populations confirmed a strong relation between several socioeconomic factors (such as age, sex, educational level, marital status, income level, occupational level, place of residence, and region) and malnutrition or risk of malnutrition in older adults aged above 60.…”

Section: Introductionmentioning

confidence: 99%

Food Insecurity and Malnutrition among Indian Older Adults: Findings from Longitudinal Ageing Study in India, 2017-18

Kandapan

Pradhan

2022

Population Ageing

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The study aims to assess the prevalence of food insecurity and malnutrition and to investigate the association between food insecurity, sociodemographic characteristics, and malnutrition among Indian older adults. Data for 28,004 older adults (60 + years) was extracted from Wave-1 of the Longitudinal Aging Study in India, 2017-18. Bivariate analysis was used for prevalence estimates. Multinomial logistic regression provided relative risk ratios (RRR) to determine the association. About 45% of older adults were food insecure and nearly half were malnourished (underweight − 26.7%, overweight − 22.2%). Overweight was widespread in southern, western, and northern India, while underweight and food insecurity were widespread in central, eastern, and north-eastern India. Food insecure older adults were significantly more likely to be underweight (mild: RRR = 1.105, 95% CI = 1.038–1.176; severe: RRR = 1.327, 95% CI = 1.186–1.485). Rather than severe food insecurity, those with moderate food insecurity have the least likelihood of being overweight. Being the oldest, male, widowed, divorced/separated/deserted, having fewer years of schooling, living in a ST or SC household, and in rural areawere associated with higher risk of being underweight; while their other counterparts were of being overweight. No association was found between working status and underweight, meanwhile the non-working older adults were less likely to be overweight (RRR = 0.804, 95% CI = 0.744–0.868). Underweight is strongly linked to food insecurity. In terms of food insecurity and malnutrition, the most vulnerable categories identified include oldest old, widowed, divorced/separated/deserted, SC, ST, economically weaker, and persons without or with only a few years of formal education.

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Socioeconomic Risk Factors of Poor Nutritional Status in Polish Elderly Population: The Results of PolSenior2 Study

Cited by 15 publications

References 38 publications

Malnutrition in Hospitalized Old Patients: Screening and Diagnosis, Clinical Outcomes, and Management

Malnutrition in Hospitalized Old Patients: Screening and Diagnosis, Clinical Outcomes, and Management

Sarcopenia, Obesity, Sarcopenic Obesity and Risk of Poor Nutritional Status in Polish Community-Dwelling Older People Aged 60 Years and Over

Food Insecurity and Malnutrition among Indian Older Adults: Findings from Longitudinal Ageing Study in India, 2017-18

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