Undernutrition and associated factors in a Portuguese older adult community

Santos, Ana Luísa; Amaral, Teresa; Borges, Nuno

doi:10.1590/1415-52732015000300001

Cited by 13 publications

(19 citation statements)

References 32 publications

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“…However, age was not associated to a higher risk of undernutrition in the present study. On the other hand, similar results were found for self‐perception of health status, which are also in line with previous data in a small sample of Portuguese older adults . In addition, in agreement with previous data, undernutrition or undernutrition risk was directly associated with low physical activity, which is expected because mobility is evaluated during undernutrition assessment.…”

Section: Discussionsupporting

confidence: 92%

Factors associated with sarcopenia and undernutrition in older adults

Sousa‐Santos

Afonso

Borges

et al. 2019

Nutrition & Dietetics

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Aim The aim of this study was to describe sarcopenia frequency, to identify the factors associated with sarcopenia and undernutrition, and to evaluate their coexistence. Methods A total of 1500 Portuguese older adults aged ≥65 years from the Nutrition UP 65 study were evaluated using a cross‐sectional analysis. Sarcopenia was defined according to the European Working Group on Sarcopenia in Older People (EWGSOP)2 guidelines (2018), using anthropometric measures. Undernutrition status was evaluated by Mini‐Nutritional Assessment‐Short Form. Results Sarcopenia frequency was 4.4% (n = 66). Sarcopenia coexists with undernutrition or undernutrition risk in 1.5% of this sample. In the multivariate analysis, sarcopenia was directly associated with age >75 years (odds ratio (OR): 2.14; 95% confidence interval (CI): 1.19–3.84), undernutrition or undernutrition risk (OR: 1.86; 95% CI: 1.01–3.43) and inversely associated with male gender (OR: 0.52; 95% CI: 0.29–0.97), overweight (OR: 0.24; 95% CI: 0.13–0.42) or obesity (OR: 0.02; 95% CI: 0.01–0.09) and moderate alcohol consumption (OR: 0.47; 95% CI: 0.24–0.90). Undernutrition or undernutrition risk was associated with a poor or very poor self‐perception of health status (OR: 3.53; 95% CI: 2.32–5.37), a low physical activity level (OR: 1.74; 95% CI: 1.23–2.47), sarcopenia (OR: 1.85; 95% CI: 1.02–3.36), and being overweight (OR: 0.40; 95% CI: 0.27–0.59) or obese (OR: 0.43; 95% CI: 0.28–0.65). Conclusions The majority of the older adults presented low muscle strength (probable sarcopenia), but only a small number had concomitantly low muscle quantity or quality (sarcopenia). Coexistence between these conditions is low which reinforces the need to assess them both individually during geriatric assessment.

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Section: Discussionsupporting

confidence: 92%

Factors associated with sarcopenia and undernutrition in older adults

Sousa‐Santos

Afonso

Borges

et al. 2019

Nutrition & Dietetics

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“…Several studies conducted in South Africa, Portugal, and Korea using MNA as the measurement tool, reported prevalence of malnutrition among community-dwelling older persons as 10.4%, 5.6% and 10.5% respectively [5, 20, 48]. In comparison to these studies, the present study found a higher prevalence of malnutrition.…”

Section: Discussioncontrasting

confidence: 66%

Prevalence of malnutrition and associated factors among community-dwelling older persons in Sri Lanka: a cross-sectional study

et al. 2018

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BackgroundMalnutrition in older persons is a public health concern. This study aimed to estimate the prevalence of malnutrition and its associated factors among community-dwelling older persons in Sri Lanka.MethodsA cross-sectional study was conducted in the Kandy district, Sri Lanka. The nutritional status of older persons was assessed using the Mini Nutritional Assessment –Short Form (MNASF). A standardised questionnaire was used to record factors associated with malnutrition: demographic characteristics, financial characteristics, food and appetite, lifestyle, psychological characteristics, physical characteristics, disease and care, oral health, and social factors. Complex sample multinomial logistic regression analysis was performed.ResultsAmong the 999 participants included in the study, 748 (69.3%) were females and 251 (25.1%) were males. The mean age was 70.80 years (95% CI: 70.13, 71.47). The prevalence of malnutrition, risk of malnutrition and well-nutrition was 12.5%, 52.4% and 35.1% respectively. In the multivariate model, hypertension (adjusted OR = 1.71; 95% CI: 1.02, 2.89), alcohol consumption (aOR = 4.06; 95% CI: 1.17, 14.07), and increased age (aOR = 1.06; 95% CI: 1.01, 1.11) were positively associated with malnutrition. An increased number of people living with the older person (aOR: 0.91; 95% CI: 0.85, 0.97) was a protective factor among those at risk for malnutrition.ConclusionBoth the prevalence of malnutrition and risk of malnutrition were commonly observed among community-dwelling older persons in Sri Lanka. The associated factors identified in this study might help public health professionals to implement necessary interventions that improve the nutritional status of this population.

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“…This positive association between currently married people and overweight is consistent with findings in previous studies [32,33]. We did not find any significant association between marital status and underweight in the adjusted analysis as found in one previous study conducted in elderly people in Portuguese [34]. Urban residence decreased risk of being underweight and overweight compared to rural residence.…”

Section: Discussionsupporting

confidence: 92%

Demographic, Socio-economic and Lifestyle Determinants of Under- and Over-nutrition among Bangladeshi Adult Population: Results from a Large Cross-Sectional Study

Mitra

Mistry

Afsana

et al. 2018

JEGH

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Bangladesh is currently going through a nutritional transition with rapid increase in overnutrition while undernutrition is still remaining prevalent. Nevertheless, population-based data on demographic, socioeconomic and lifestyle factors associated with underweight and overweight among adult population is scarce. Employing a nationwide cross-sectional survey, we collected anthropometric, demographic, socioeconomic , lifestyle and dietary information from 12,180 adults aged ≥35 years. Body Mass Index (BMI) was calculated using standard formula and categorized into underweight (<18.50), normal weight (18.50-22.99), and overweight (≥23.00). Multivariable multinomial logistic regression was performed to identify factors associated with underweight and overweight. Overall, prevalence of underweight and overweight was 18.1% (95% CI: 17.5-18.8) and 33.7% (95% CI: 32.9-34.6), respectively. All the demographic, socioeconomic , dietary and lifestyle factors showed significant association with nutritional status in bivariate analysis. In adjusted analysis, factors showing significant positive association with underweight included female gender (ARRR-1.38, 95% CI: 1.11-1.71), older age [compared to 35-39 years age group, ARRR (95% CI) for ≥ 70 years is 2.32 (1.89-2.86), for 60-69 years is 1.62 (1.36-1.93), for 50-59 years 1.34 (1.13-1.58) and for 40-49 years 1.05 (0.87-1.15)] and smoking habit (ARRR-1.32, 95% CI: 1.14-1.52) while factors showing significant inverse association with underweight included higher household wealth [compared to lowest wealth quintile, ARRR (95% CI) for highest quintile is 0.68 (0.55-0.84), for second highest quintile 0.77 (0.65-0.91), for middle quintile 0.81 (0.69-0.94) and for second lowest quintile 0.89 (0.77-1.03)], urban residence (ARRR-0.66, 95% CI: 0.66-0.90), and more frequent meat/fish and fruits consumption (ARRR-0.76, 95% CI: 0.65-0.90). On the other hand, factors significantly associated with increased risk of overweight included female gender (ARRR-1.35, 95% CI: 1.12-1.63), higher household wealth [compared to lowest wealth quintile, ARRR (95% CI) for highest quintile is 2.27 (1.93-2.68), for second highest quintile 1.67 (1.44-1.94), for middle quintile 1.26 (1.10-1.46) and for second lowest quintile 1.07 (0.93-1.24), excess food availability [compared to food shortage, ARRR (95% CI) for excess food in the household is 1.29 (1.12-1.47) and for no shortage/no excess is 1.23 (1.09-1.38) and more frequent fruits consumption [compared to no fruits, ARRR (95% CI) for 5-7 days per week consumption is 1.61 (1.41-1.83) and for 3-4 days per week is 1.28 (1.16-1.41) and factors significantly associated with decreased risk of overweight included older age [compared to 35-39 years age group, ARRR (95% CI) for ≥ 70 years is 0.77 (0.64-0.93), for 60-69 years is 0.82 (0.71-0.94), for 50-59 years 0.91 (0.80-1.04) and for 40-49 years 1.01 (0.89-1.15)] and smoking (ARRR-0.76, 95% CI: 0.68-0.86). Both underweight and overweight are prevalent in Bangladeshi adult population. Several demographic, socioec...

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Undernutrition and associated factors in a Portuguese older adult community

Cited by 13 publications

References 32 publications

Factors associated with sarcopenia and undernutrition in older adults

Factors associated with sarcopenia and undernutrition in older adults

Prevalence of malnutrition and associated factors among community-dwelling older persons in Sri Lanka: a cross-sectional study

Demographic, Socio-economic and Lifestyle Determinants of Under- and Over-nutrition among Bangladeshi Adult Population: Results from a Large Cross-Sectional Study

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