Association between Sarcopenia and Nutritional Status in Chilean Older People Aged 65 Years and Older

Crovetto, Mirta; Mella, Camila Henríquez; Bocaz, Lissette Pérez

doi:10.3390/nu14245228

Cited by 12 publications

(7 citation statements)

References 24 publications

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“…However, compared to the results of the nutritional screening tool (53.6%), the incidence of malnutrition in care institutions measured by BMI is significantly lower, which is similar to the results of the study by Crovetto Mattassi et al. (2022). At the same time, the researchers believe that it must be emphasised that malnutrition must be distinguished from underweight, as it can also occur in obese individuals, and that a low BMI can be the result of a person's previous weight loss (Billeret et al., 2023; Wolters et al., 2019).…”

Section: Discussionsupporting

confidence: 87%

Nutritional status of the older adults in nursing homes: A cross‐sectional study

Chen,

Shen,

Gao

et al. 2024

Journal of Clinical Nursing

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Aim and objectivesTo investigate the nutritional status of older adults in nursing homes in Chongqing, China, compare and analyse the differences in the physical condition, cognitive function and social‐related factors of older adults with different nutritional statuses.BackgroundMalnurtition in the older people has become a priority concer, and the incidence and factors associated with malnutrition vary somewhat by healthcare setting. In Chongqing ,China, there is lack of research on malnutrition of the older people in nursing homes. Here, we investigated the incidence of malnutrition and analysed the associated factors.DesignA cross‐sectional study.MethodsFrom January to April 2023, a cross‐sectional survey was conducted in three nursing homes in Chongqing, China. Participants completed a series of questionnaires, including the Demographic Information Questionnaire which included age, gender, education level, previous occupation, marital status and other information. The survey also included validated non‐demographic instruments [Short‐Form Mini‐Nutritional Assessment (MNA‐SF), Barthel Index (BI) and Mini‐mental State Examination (MMSE)] to identify related impact factors. The Guidelines for cross‐sectional studies were used in this study (Data S1).Results209 older adults aged 60 and over participated in this study, of whom 121 were women and 88 were men. The average (SD) age of the participants was 84.7 (6.3) years. Of the participants, 46.4% were classified as well nourished. About 39.2% were at risk of malnutrition and 14.4% were malnourished. Compared to those who were well nourished, those who were malnourished or at risk of becoming malnourished were more likely to suffer from comorbidities, polypharmacy, a higher risk of falling, ADL dependence and to receive more nutritional interventions. However, there are no significant differences after adjustment for age, education level, previous occupation, marital status, length of stay, and type of health care payment.ConclusionMalnutrition is a common problem among older adults innursing homes in Chongqing, China. There are certain differences in physical conditions and nutritional interventions among older adults withdifferent nutritional status.Public ContributionThis study suggests that the problem of malnutrition is very prominent in nursing homes in Chongqing, China. Cognitive impairment, impaired activities of daily living, fall risk and nutritional intervention need to be prevalent in older adults with (risk of) malnutrition.

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Section: Discussionsupporting

confidence: 87%

Nutritional status of the older adults in nursing homes: A cross‐sectional study

Chen,

Shen,

Gao

et al. 2024

Journal of Clinical Nursing

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“…Similarly, an analysis from the Brazilian Longitudinal Study of Ageing (ELSI-Brazil) showed that BMI was inversely associated with muscle weakness measured by hand grip strength [ 19 ]. In contrast, others report an increased risk of sarcopenia/probable sarcopenia in older adults with obesity [ 20 ]. A further consideration is that the loss of muscle mass in aging is frequently offset by increases in fat mass, meaning that BMI may therefore remain unchanged [ 21 ].…”

Section: Introductionmentioning

confidence: 99%

Associations between Body Mass Index and Probable Sarcopenia in Community-Dwelling Older Adults

et al. 2023

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(1) Background/Objectives: The relationship between body mass index (BMI) and probable sarcopenia, a precursor to sarcopenia diagnosis, is unclear. While low BMI has been associated with sarcopenia risk, some evidence suggests that obesity may confer protection. We aimed to investigate the association between probable sarcopenia and BMI and, furthermore, to explore associations with waist circumference (WC). (2) Methods: This cross-sectional study included 5783 community-dwelling adults (mean age 70.4 ± 7.5 years) from Wave 6 of the English Longitudinal Study of Ageing (ELSA). Probable sarcopenia was defined using the European Working Group on Sarcopenia in Older People (EWGSOP2) criteria for low hand grip strength and/or slow chair rise. Associations between BMI and probable sarcopenia were examined using multivariable regression analysis and were similarly performed for WC. (3) Results: Our overall findings show that an underweight BMI was significantly associated with an increased likelihood of probable sarcopenia [OR (CI) 2.25 (1.17, 4.33), p = 0.015]. For higher BMI categories, the findings were conflicting. Overweight and obesity were associated with an increased likelihood of probable sarcopenia when defined by lower limb strength alone, [OR (CI), 2.32 (1.15, 4.70), p = 0.019; 1.23 (1.02, 1.49), p = 0.35, and 1.49 (1.21, 1.83), p < 0.001, respectively]. In contrast, overweight and obesity appeared protective when probable sarcopenia was assessed by low hand grip strength alone [OR (CI) 0.72 (0.60, 0.88), p = 0.001, and 0.64 (0.52, 0.79), p < 0.001, respectively]. WC was not significantly associated with probable sarcopenia on multivariable regression analysis. (4) Conclusion: This study supports the evidence that low BMI is associated with an increased likelihood of probable sarcopenia, highlighting an important at-risk group. The findings for overweight and obesity were inconsistent and may be measurement dependent. It seems prudent that all older adults at risk of probable sarcopenia, including those with overweight/obesity, are assessed to prevent underdetection of probable sarcopenia alone or with the double burden of obesity.

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“…A notable methodological difference was their use of the mean of six handgrip attempts (both hands), in contrast to our use of the maximum value of three trials with dominant hand. When examining the Chilean studies [ 31 – 33 ], some adapted their handgrip strength cut-offs to better fit their specific study cohorts. Applying these tailored cut-offs to our sample resulted in a higher prevalence of probable sarcopenia than those reported in the Chilean studies.…”

Section: Resultsmentioning

confidence: 99%

Sarcopenia and sarcopenic obesity among community-dwelling Peruvian adults: A cross-sectional study

Flores-Flores,

Zevallos-Morales,

Pollard

et al. 2024

PLoS ONE

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Introduction Sarcopenia and sarcopenic obesity (SO) have emerged as significant contributors to negative health outcomes in the past decade. We aimed to estimate the prevalence of probable sarcopenia, sarcopenia, and SO in a community-dwelling population of 1151 adults aged ≥55 years in Lima, Peru. Methods This cross-sectional study was conducted between 2018 and 2020. Sarcopenia was defined as the presence of low muscle strength (LMS) and low muscle mass (LMM) according to European (EWGSOP2), US (FNIH) and Asian (AWGS2) guidelines. We measured muscle strength by maximum handgrip strength and muscle mass using bioelectrical impedance analyzer. SO was defined as a body mass index ≥ 30 kg/m2 and sarcopenia. Results The study participants had a mean age of 66.2 years (SD 7.1), age range between 60 to 92 years old, of which 621 (53.9%) were men. Among the sample, 41.7% were classified as obese (BMI ≥30.0 kg/m²). The prevalence of probable sarcopenia was estimated to be 22.7% (95%CI: 20.3–25.1) using the EWGSOP2 criteria and 27.8% (95%CI: 25.2–30.4) using the AWGS2 criteria. Sarcopenia prevalence, assessed using skeletal muscle index (SMI), was 5.7% (95%CI: 4.4–7.1) according to EWGSOP2 and 8.3% (95%CI: 6.7–9.9) using AWGS2 criteria. The prevalence of sarcopenia based on the FNIH criteria was 18.1% (95%CI: 15.8–20.3). The prevalence of SO, considering different sarcopenia definitions, ranged from 0.8% (95%CI: 0.3–1.3) to 5.0% (95%CI: 3.8–6.3). Conclusion Our findings reveal substantial variation in the prevalence of sarcopenia and SO, underscoring the necessity for context-specific cut-off values. Although the prevalence of SO was relatively low, this result may be underestimated. Furthermore, the consistently high proportion of probable sarcopenia and sarcopenia point to a substantial public health burden.

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Association between Sarcopenia and Nutritional Status in Chilean Older People Aged 65 Years and Older

Cited by 12 publications

References 24 publications

Nutritional status of the older adults in nursing homes: A cross‐sectional study

Nutritional status of the older adults in nursing homes: A cross‐sectional study

Associations between Body Mass Index and Probable Sarcopenia in Community-Dwelling Older Adults

Sarcopenia and sarcopenic obesity among community-dwelling Peruvian adults: A cross-sectional study

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