ABSTRACT
BACKGROUND AND AIMS: High consumption of ultra-processed food (UPF) has been associated with increased risk of obesity and other metabolic diseases, and this dietary pattern seems to be responsible for chronic changes in the gut microbiota. The aim of this study was to assess the associations of UPF with the gut microbiota and obesity-associated biometrics in women. METHODS AND RESULTS: This cross-sectional study examined 59 women. The following parameters were evaluated: food consumption using NOVA classification, anthropometric and metabolic parameters, and gut microbiome by next-generation sequencing. The mean age was 28.0 ± 6.6 years. The mean caloric intake was 1624 ± 531 kcal, of which unprocessed or minimally processed food (G1) accounted for 52.4 ± 13.5%, and UPF accounted for 31.4 ± 13.6%. Leptin levels adjusted for fat mass were negatively associated with G1 and positively associated with UPF. We found 15 species in the gut microbiota that correlated with G1 (3 positively and 12 negatively) and 9 species associated with UPF (5 positively and 4 negatively). CONCLUSION: Higher consumption of UPF was directly associated with leptin resistance, and this study suggests that the consumption of UPF or G1 may affect the composition of the gut microbiota.
Subject(s)
Gastrointestinal Microbiome , Leptin , Humans , Female , Young Adult , Adult , Food, Processed , Cross-Sectional Studies , Food Handling , Fast Foods/adverse effects , Diet , Energy Intake , Obesity/diagnosis , Obesity/epidemiologyABSTRACT
This study objective was to describe the distribution of food consumption markers in Brazil per sociodemographic characteristics and its evolution from 2013 to 2019. Healthy food consumption markers (regular consumption of beans, fruits, vegetables, and fish, recommended consumption of red meat, and never replacing meals with snacks) and unhealthy food consumption markers (regular consumption of sweetened beverages and confectionery and excessive salt intake) were studied for adult participants of the Brazilian National Health Survey. The prevalence of food consumption markers was estimated according to sociodemographic characteristics and compared to data of 2013 and 2019. Most of the population regularly consumes beans, fruits, and vegetables, they also follows the recommendation to limit red meat consumption, and never replaces meals with snacks. The percentage of people who regularly consume sweetened beverages and perceive their salt intake as excessive is relatively low. The distribution of food consumption markers was associated with sex, age, income, race/skin color, area of dwelling, and schooling level. From 2013 to 2019, the prevalence of most food consumption markers declined, except for the regular consumption of fruits and recommended consumption of red meat, that increased 8.5% and 18.5%, respectively, and the regular consumption of vegetables, which did not vary. Healthy and unhealthy food consumption markers should be monitored to evaluate the effect of healthy eating policies implemented in the country.
Subject(s)
Feeding Behavior , Sodium Chloride, Dietary , Brazil/epidemiology , Cross-Sectional Studies , Diet , Fruit , Health Surveys , Humans , VegetablesABSTRACT
This study objective was to describe the distribution of food consumption markers in Brazil per sociodemographic characteristics and its evolution from 2013 to 2019. Healthy food consumption markers (regular consumption of beans, fruits, vegetables, and fish, recommended consumption of red meat, and never replacing meals with snacks) and unhealthy food consumption markers (regular consumption of sweetened beverages and confectionery and excessive salt intake) were studied for adult participants of the Brazilian National Health Survey. The prevalence of food consumption markers was estimated according to sociodemographic characteristics and compared to data of 2013 and 2019. Most of the population regularly consumes beans, fruits, and vegetables, they also follows the recommendation to limit red meat consumption, and never replaces meals with snacks. The percentage of people who regularly consume sweetened beverages and perceive their salt intake as excessive is relatively low. The distribution of food consumption markers was associated with sex, age, income, race/skin color, area of dwelling, and schooling level. From 2013 to 2019, the prevalence of most food consumption markers declined, except for the regular consumption of fruits and recommended consumption of red meat, that increased 8.5% and 18.5%, respectively, and the regular consumption of vegetables, which did not vary. Healthy and unhealthy food consumption markers should be monitored to evaluate the effect of healthy eating policies implemented in the country.
O estudo teve como objetivo descrever a distribuição de marcadores de consumo alimentar no Brasil de acordo com características sociodemográficas e sua evolução entre 2013 e 2019. Foram estudados os marcadores de consumo alimentar saudável (consumo regular de feijão, frutas, verduras e peixe, consumo de carne vermelha em níveis recomendados e consumo de refeições em vez de lances) e de consumo alimentar não saudável (consumo regular de bebidas açucaradas e doces e ingestão excessiva de sal) entre os adultos que participaram na Pesquisa Nacional de Saúde. A prevalência de marcadores de consumo alimentar foi estimada de acordo com as características sociodemográficas e comparada com os dados entre 2013 e 2019. A maioria da população relata consumo regular de feijão, frutas e verduras, segue a recomendação de limitar o consumo de carne vermelha e nunca substituir refeições por lanches. É relativamente baixa a proporção de pessoas que consome bebidas açucaradas regularmente e que relata alta ingestão de sal. A distribuição de marcadores de consumo alimentar esteve associada a gênero, idade, raça/cor, área de residência e escolaridade. Entre 2013 e 2019, diminuiu a prevalência da maioria dos marcadores de consumo alimentar, exceto do consumo regular de frutas e do consumo recomendado de carne vermelha, que aumentaram em 8,5% e 18,5%, respectivamente, e do consumo regular de verduras, que não variou. Os alimentos marcadores de consumo saudável e não saudável devem ser monitorados para avaliar o efeito das políticas de alimentação saudável no país.
El objetivo del estudio fue describir la distribución de los marcadores de consumo de alimentos en Brasil, según sus características sociodemográficas y su evolución de 2013 a 2019. Se estudiaron los marcadores de consumo de comida saludable (consumo regular de frijoles, frutas, verduras, pescado, consumo recomendado de carne roja y nunca sustituir comidas por aperitivos) y marcadores de comida no saludable (consumo regular de bebidas azucaradas, repostería y consumo de sal percibido como excesivo) entre adultos de la Encuesta Nacional de Salud. La prevalencia de los marcadores de consumo de alimentos se estimó según características sociodemográficas y se comparó la prevalencia de los años 2013 y 2019. Una gran parte de la población regularmente consume frijoles, frutas y verduras y cumple la recomendación del consumo de carne roja, además, nunca sustituye comidas por aperitivos. El porcentaje de gente que regularmente consume bebidas azucaradas y percibe su consumo de sal como excesivo es relativamente más bajo. La distribución de los marcadores de consumo de alimentos estuvo asociada con sexo, edad, ingresos, raza/color de piel, lugar de residencia y nivel educativo. Desde 2013 a 2019, la prevalencia de la mayoría de los marcadores de consumo de alimentos decayó, excepto en el caso del consumo regular de frutas y consumo recomendado de carne roja, que se incrementó en un 8,5% y 18,5% respectivamente, al igual que el consumo regular de verduras, que no varió. La supervisión de los marcadores de consumo de las comidas sanas e insanas puede ser útil para evaluar el impacto de políticas de promoción de la comida sana implementadas en el país.
Subject(s)
Sodium Chloride, Dietary , Feeding Behavior , Vegetables , Brazil/epidemiology , Cross-Sectional Studies , Health Surveys , Diet , FruitABSTRACT
The objective of this study was to establish the quantity and variety of fruit and vegetables (FV) available in Brazilian households in 2008-09 and 2017-18, and according to regions and income classes in 2017-18. Data from the Household Budget Surveys were used regarding household availability of fruit and vegetables. The annual per capita amount of each food item purchased was transformed into daily amounts. The absolute (gram/per capita/day) and the relative average quantities of each type of FV in Brazil (in both periods), and according to region and income (in 2017-18), were analyzed. An insufficient quantity of fruit and vegetables purchased in Brazil (54.4 g and 42.7 g in 2008-09; 49.7 g and 37.4 g in 2017-18, respectively) in all regions and income classes was verified. The South represented the highest amount purchased, while the North revealed the lowest; the quantity of FV increased as income increased. Six varieties of fruit (banana, apple, plantain, orange, watermelon, and papaya) and three types of vegetables (tomato, onion, and carrot) represented more than 50% of the total acquisition in Brazil, which was similar for all strata analyzed. The acquisition of fruit and vegetables in Brazil was low and featured little variation. This scenario was the same for all regions and income brackets.
O objetivo deste estudo foi caracterizar a quantidade e a variedade de frutas e hortaliças adquiridas nos domicílios brasileiros em 2008-09 e 2017-18 e segundo regiões e classes de rendimento em 2017-18. Foram utilizados dados das Pesquisas de Orçamentos Familiares referentes a disponibilidade domiciliar de frutas e hortaliças. A quantidade anual per capita adquirida de cada item alimentar foi transformada em valores diários. Foram descritas as médias da quantidade absoluta (grama/per capita/dia) e relativa de cada tipo de fruta e hortaliça para o Brasil (nos dois períodos) e segundo regiões e renda (em 2017-18). Verificou-se baixa aquisição de frutas e hortaliças para o Brasil (54,4 g e 42,7 g em 2008-09; 49,7 g e 37,4 g em 2017-18, respectivamente), e em todas as regiões e classes de renda analisadas. O Sul apresentou a maior aquisição e o Norte a menor; a quantidade adquirida aumentou com o aumento da renda. Seis tipos de frutas (banana prata, maçã, banana d'água, laranja pera, melancia e mamão) e três de hortaliças (tomate, cebola e cenoura) representaram mais de 50% da aquisição total no Brasil, sendo semelhante em todos os estratos analisados. A aquisição de frutas e hortaliças no Brasil foi baixa e apresentou pouca variação. Esse cenário se reproduziu em todas as regiões e faixas de renda.
Subject(s)
Fruit , Vegetables , Brazil , Diet , Feeding Behavior , HumansABSTRACT
Resumo O objetivo deste estudo foi caracterizar a quantidade e a variedade de frutas e hortaliças adquiridas nos domicílios brasileiros em 2008-09 e 2017-18 e segundo regiões e classes de rendimento em 2017-18. Foram utilizados dados das Pesquisas de Orçamentos Familiares referentes a disponibilidade domiciliar de frutas e hortaliças. A quantidade anual per capita adquirida de cada item alimentar foi transformada em valores diários. Foram descritas as médias da quantidade absoluta (grama/per capita/dia) e relativa de cada tipo de fruta e hortaliça para o Brasil (nos dois períodos) e segundo regiões e renda (em 2017-18). Verificou-se baixa aquisição de frutas e hortaliças para o Brasil (54,4 g e 42,7 g em 2008-09; 49,7 g e 37,4 g em 2017-18, respectivamente), e em todas as regiões e classes de renda analisadas. O Sul apresentou a maior aquisição e o Norte a menor; a quantidade adquirida aumentou com o aumento da renda. Seis tipos de frutas (banana prata, maçã, banana d'água, laranja pera, melancia e mamão) e três de hortaliças (tomate, cebola e cenoura) representaram mais de 50% da aquisição total no Brasil, sendo semelhante em todos os estratos analisados. A aquisição de frutas e hortaliças no Brasil foi baixa e apresentou pouca variação. Esse cenário se reproduziu em todas as regiões e faixas de renda.
Abstract The objective of this study was to establish the quantity and variety of fruit and vegetables (FV) available in Brazilian households in 2008-09 and 2017-18, and according to regions and income classes in 2017-18. Data from the Household Budget Surveys were used regarding household availability of fruit and vegetables. The annual per capita amount of each food item purchased was transformed into daily amounts. The absolute (gram/per capita/day) and the relative average quantities of each type of FV in Brazil (in both periods), and according to region and income (in 2017-18), were analyzed. An insufficient quantity of fruit and vegetables purchased in Brazil (54.4 g and 42.7 g in 2008-09; 49.7 g and 37.4 g in 2017-18, respectively) in all regions and income classes was verified. The South represented the highest amount purchased, while the North revealed the lowest; the quantity of FV increased as income increased. Six varieties of fruit (banana, apple, plantain, orange, watermelon, and papaya) and three types of vegetables (tomato, onion, and carrot) represented more than 50% of the total acquisition in Brazil, which was similar for all strata analyzed. The acquisition of fruit and vegetables in Brazil was low and featured little variation. This scenario was the same for all regions and income brackets.
Subject(s)
Humans , Vegetables , Fruit , Brazil , Diet , Feeding BehaviorABSTRACT
Aim: Sarcopenia and malnutrition are highly prevalent in older adults undergoing hemodialysis (HD) and are associated with negative outcomes. This study aimed to evaluate the role of sarcopenia and malnutrition combined on the nutritional markers, quality of life, and survival in a cohort of older adults on chronic HD. Methods: This was an observational, longitudinal, and multicenter study including 170 patients on HD aged >60 years. Nutritional status was assessed by 7-point-subjective global assessment (7p-SGA), body composition (anthropometry and bioelectrical impedance), and appendicular skeletal muscle mass (Baumgartner's prediction equation). Quality of life was assessed by KDQoL-SF. The cutoffs for low muscle mass and low muscle strength established by the 2019 European Working group on sarcopenia for Older People (EWGSOP) were used for the diagnosis of sarcopenia. Individuals with a 7p-SGA score ≤5 were considered malnourished, individuals with low strength or low muscle mass were pre-sarcopenic, and those with low muscle mass and low muscle strength combined as sarcopenic. The sample was divided into four groups: sarcopenia and malnutrition; sarcopenia and no-malnutrition; no-sarcopenia with malnutrition; and no-sarcopenia and no-malnutrition. Follow-up for survival lasted 23.5 (12.2; 34.4) months. Results: Pre-sarcopenia, sarcopenia, and malnutrition were present in 35.3, 14.1, and 58.8% of the patients, respectively. The frequency of malnutrition in the group of patients with sarcopenia was not significantly higher than in the patients without sarcopenia (66.7 vs. 51.2%; p = 0.12). When comparing groups according to the occurrence of sarcopenia and malnutrition, the sarcopenia and malnutrition group were older and presented significantly lower BMI, calf circumference, body fat, phase angle, body cell mass, and mid-arm muscle circumference. In the survival analysis, the group with sarcopenia and malnutrition showed a higher hazard ratio 2.99 (95% CI: 1.23: 7.25) for mortality when compared to a group with no-sarcopenia and no-malnutrition. Conclusion: Older adults on HD with sarcopenia and malnutrition combined showed worse nutritional parameters, quality of life, and higher mortality risk. In addition, malnutrition can be present even in patients without sarcopenia. These findings highlight the importance of complete nutritional assessment in patients on dialysis.
ABSTRACT
BACKGROUND: We analyzed the dietary patterns of Brazilian individuals with a self-declared diagnosis of chronic kidney disease (CKD) and explored associations with treatment modality. METHODS: Weekly consumption of 14 food intake markers was analyzed in 839 individuals from the 2013 Brazil National Health Survey with a self-declared diagnosis of CKD undergoing nondialysis (n = 480), dialysis (n = 48), or renal transplant (n = 17) treatment or no CKD treatment (n = 294). Dietary patterns were derived by exploratory factor analysis of food intake groups. Multiple linear regression models, adjusted by sociodemographic and geographical variables, were used to evaluate possible differences in dietary pattern scores between different CKD treatment groups. RESULTS: Two food patterns were identified: an "Unhealthy" pattern (red meat, sweet sugar beverages, alcoholic beverages, and sweets and a negative loading of chicken, excessive salt, and fish) and a "Healthy" pattern (raw and cooked vegetables, fruits, fresh fruit juice, and milk). The Unhealthy pattern was inversely associated with nondialysis and dialysis treatment (ß: -0.20 (95% CI: -0.33; -0.06) and ß: -0.80 (-1.16; -0.45), respectively) and the Healthy pattern was positively associated with renal transplant treatment (ß: 0.32 (0.03; 0.62)). CONCLUSIONS: Two dietary patterns were identified in Brazilian CKD individuals and these patterns were linked to CKD treatment modality.
Subject(s)
Diet , Feeding Behavior , Kidney Transplantation , Nutritive Value , Renal Dialysis , Renal Insufficiency, Chronic/therapy , Brazil , Cross-Sectional Studies , Diet/adverse effects , Diet, Healthy , Female , Health Surveys , Humans , Male , Middle Aged , Nutritional Status , Recommended Dietary Allowances , Renal Insufficiency, Chronic/diagnosis , Renal Insufficiency, Chronic/physiopathology , Renal Insufficiency, Chronic/psychology , Risk FactorsABSTRACT
OBJECTIVE: The aim of this study was to investigate nutritional status in older patients undergoing maintenance hemodialysis (MHD) to determine the prevalence of nutritional markers indicating protein-energy wasting (PEW) as assessed by subjective global assessment (SGA) and other methods, and to explore which nutritional markers can best predict clinical outcomes. METHODS: The study included 173 patients (median age 69 y; 65% men; 38% diabetes) undergoing MHD for >3 mo. Nutritional markers included SGA, malnutrition-inflammation score (MIS), geriatric nutritional risk index (GNRI), handgrip strength (HGS), midarm muscle circumference (MAMC), triceps skinfold thickness (SKF), calf circumference, and albumin. Associations between PEW (diagnosed by different measures and thresholds) and risk for hospitalization (by Poisson regression) and all-cause mortality (by Cox proportional hazards model) were analyzed. RESULTS: Depending on methods and thresholds used, the prevalence of nutritional markers indicatingPEW varied from 6.9% to 59.5%. In the Poisson models adjusted for age, sex, dialysis length, and diabetes, low SGA, HGS, albumin, and high MIS score were associated with high hospitalization events, whereas in the bivariate Cox regression models adjusted for the same variables, low SGA, GNRI, BMI, calf circumference, and high MIS score were associated with high hazard ratio (HR) for mortality. In addition, in the multivariate models, SGA showed the strongest association with mortality (HR, 2.32; 95% confidence interval [CI], 1.27-4.24) and together with MIS (HR, 2.09; 95% CI, 1.20-3.64), the highest values of C-statistics. CONCLUSIONS: Among older MHD patients, the prevalence of nutritional markers indicating PEW varies substantially depending on methods applied. SGA, MIS, BMI, GNRI, calf circumference, and HGS predicted worse outcomes. SGA and MIS showed the strongest association with hospitalization and mortality risk in the adjusted models.
Subject(s)
Geriatric Assessment/methods , Nutrition Assessment , Protein-Energy Malnutrition/diagnosis , Renal Dialysis/adverse effects , Risk Assessment/methods , Aged , Biomarkers/analysis , Body Mass Index , Female , Humans , Inflammation , Male , Middle Aged , Nutritional Status , Prevalence , Proportional Hazards Models , Protein-Energy Malnutrition/epidemiology , Protein-Energy Malnutrition/etiology , Risk Factors , Serum Albumin/analysis , Severity of Illness IndexABSTRACT
OBJECTIVE: To describe the food consumption of individuals with chronic kidney disease (CKD) per sociodemographic and geographical characteristics and CKD treatment. In addition, we compared the food consumption of individuals with and without CKD. METHODS: Cross-sectional study using data from the National Health Survey (Brazil 2013) that included 60,202 individuals. Food consumption was evaluated with the following food intake markers: (1) regular consumption of fruit, vegetables, beans, milk, sugar-sweetened beverages (SSBs), sweets, red meat, and chicken; (2) weekly intake of fish; and (3) consumption of meat or chicken with excess fat, excess salt, and alcoholic beverage. The prevalence of these indicators was described per sociodemographic (gender, age, educational level, and race/skin color) and geographical (location of residence and geographical regions) variables in CKD and non-CKD individuals. Unadjusted and multiple logistic regression models, adjusted by sociodemographic and geographical variables, were applied. RESULTS: 60,202 individuals were divided into 5 groups: (1) non-CKD (n 5 59,363), (2) non-dialysis-dependent (n 5 480), (3) dialysis (n 5 48), (4) renal transplanted (n 5 17), and (5) untreated CKD (n 5 294). Age, education level, and geographic region were associated with food markers. Comparisons among those with CKD by treatment group showed that the dialysis group had a lower regular consumption of beans, alcoholic beverages, and salt in excess. Upon further comparisons with the non-CKD group, the CKD group (especially that in dialysis) showed a significantly lower regular consumption of beans, red meat, SSBs, salt in excess, and alcoholic beverages. Except for SSBs, this difference was maintained after adjustment. CONCLUSIONS: Food consumption of the CKD individuals is influenced by sociodemographic and geographical characteristics. Food groups of which patients are normally advised to limit their dietary intake were those with the greatest difference between individuals with and without CKD and among the CKD treatments.
Subject(s)
Diet/methods , Nutrition Surveys/statistics & numerical data , Renal Insufficiency, Chronic , Rural Population/statistics & numerical data , Urban Population/statistics & numerical data , Adolescent , Adult , Age Factors , Brazil , Cross-Sectional Studies , Female , Geography , Humans , Male , Middle Aged , Nutrition Surveys/methods , Reference Values , Sex Factors , Socioeconomic Factors , Young AdultABSTRACT
OBJECTIVE: This study aimed to assess whether diminished muscle mass, diminished muscle strength, or both conditions (sarcopenia) are associated with worse nutritional status, poor quality of life (QoL), and hard outcomes, such as hospitalization and mortality, in elderly patients on maintenance hemodialysis (MHD). DESIGN AND SUBJECTS: This is a multicenter observational longitudinal study that included 170 patients on MHD (age 70 ± 7 years, 65% male) from 6 dialysis centers. MAIN OUTCOME MEASURE: The European Working Group on Sarcopenia in Older People defines sarcopenia as the presence of both low muscle mass by appendicular skeletal + low muscle function by handgrip strength. This study evaluated the clinical and nutritional status (laboratory, anthropometry, dual-energy X-ray absorptiometry, 7-point subjective global assessment) and QoL (Kidney Disease Quality of Life) at baseline. Hospitalization and mortality were recorded during 36 months. RESULTS: Reduced muscle mass was observed in 64% of the patients, reduced muscle strength in 52%, and sarcopenia in 37%. The group with sarcopenia was older, had a higher proportion of men and showed worse clinical and nutritional conditions when compared with patients without sarcopenia. Although reduced muscle mass was strongly associated with poor nutritional status, low muscle strength was associated with worse QoL domains. In the multivariate Cox analyses adjusted by age, gender, dialysis vintage, and diabetes mellitus, low muscle strength alone and sarcopenia were associated with higher hospitalization, and sarcopenia was a predictor of mortality. CONCLUSION: In conclusion, in this sample, comprised of elderly patients on MHD, sarcopenia was associated with worse nutritional and clinical conditions and was a predictor of hospitalization and mortality.
Subject(s)
Hospitalization/statistics & numerical data , Nutritional Status/physiology , Quality of Life , Renal Dialysis/mortality , Renal Dialysis/statistics & numerical data , Sarcopenia/physiopathology , Aged , Female , Hand Strength , Humans , Longitudinal Studies , Male , Middle Aged , Muscle Strength/physiologyABSTRACT
BACKGROUND & AIMS: Studies assessing the performance of 7-point subjective global assessment (7p-SGA) and malnutrition inflammation score (MIS) to assess longitudinal changes in nutritional status are lacking. Thus, we aimed to investigate whether longitudinal changes in 7p-SGA and MIS were associated with changes in objective parameters of nutritional status, as well as to evaluate the prognostic value of 7p-SGA and MIS on hospitalization events. METHODS: One hundred and four patients aged ≥60 years (70.2% male, age: 70.9 ± 6.9 years) on maintenance hemodialysis were studied. The 7p-SGA, MIS and objective parameters of nutritional status (anthropometrics, muscle strength, body cell mass and phase angle assessed by bioelectrical impedance analysis - BIA, albumin, creatinine and C-reactive protein) were assessed at baseline and 12 months after the enrollment. Follow-up for hospitalization events were carried out at 13.0 (interquartile range: 3.0; 21.0) months after the first year of enrollment. RESULTS: Analysis of repeated measures, stratified by gender, and adjusted for age and dialysis vintage, showed that for men, a 1-unit change in 7p-SGA was significantly associated (P < 0.05) with changes in all anthropometrics, muscle strength and BIA parameters. For women, changes in 7p-SGA were associated with most of the anthropometrics, muscle strength and BIA parameters. Similarly, for both genders, changes in MIS were associated with changes in most anthropometric, muscle strength, BIA measurements, albumin (only for men), and creatinine (only for women). In addition, when assessed by 7p-SGA, patients with a declining nutritional status had a higher relative risk (RR) of hospitalization events [RR: 2.08 (95 CI: 1.44-2.99; P < 0.001)] and length of hospital stay (days) [RR: 3.73 (95 CI: 3.29-4.22; P < 0.001)]. CONCLUSIONS: Longitudinal changes in 7p-SGA and MIS were associated with changes in most of the objective parameters tested during 12 months of follow-up. Furthermore, a declining 7p-SGA score predicted a greater number of hospitalization events and days of hospital stay.
Subject(s)
Geriatric Assessment/methods , Inflammation/diagnosis , Malnutrition/diagnosis , Nutrition Assessment , Renal Dialysis/adverse effects , Aged , Female , Humans , Inflammation/complications , Inflammation/etiology , Longitudinal Studies , Male , Malnutrition/complications , Malnutrition/etiology , Nutritional Status , Prospective StudiesABSTRACT
OBJECTIVES: The multiple dietary restrictions recommended to patients on hemodialysis (HD), coupled with conditions imposed by aging, may lead to poor dietary quality in these patients. The aim of this study was to investigate the dietary quality and consumption of ultraprocessed food by elderly patients on HD and those without chronic kidney disease (CKD). Additionally, diets on the day of dialysis and on nondialysis days were evaluated. METHODS: This was a cross-sectional study conducted with 153 noninstitutionalized elderly patients on HD (Elder-HD) and 47 non-CKD elderly (Elder-Healthy) aged ≥60 y. From a 3-d food record, the dietary quality was assessed using the Brazilian Healthy Eating Index Revised (BHEI-R) and the energy contribution of food-processing groups. RESULTS: Compared with the Elder-Healthy group, the Elder-HD group showed a lower total BHEI-R score (P < 0.05). On the weekdays, the Elder-HD group showed lower scores (P < 0.05) of whole fruit, dark green vegetables and legumes, meat, eggs, and legumes, whereas total cereals showed a higher score (P < 0.05). When furthering the analysis on the Elder-HD group, although the total BHEI-R score did not differ among the days assessed, the components whole fruit, dark green vegetables, and legumes had lower scores (P < 0.05) on the day of dialysis, and the opposite was observed for milk and dairy products. Moreover, the Elder-HD showed a higher (P < 0.05) contribution of processed and ultraprocessed foods and lower (P < 0.05) contribution of natural or minimally processed foods. CONCLUSION: The Elder-HD group showed poorer dietary quality and higher consumption of processed and ultraprocessed foods than the Elder-Healthy group. Moreover, when compared with the nondialysis day, these patients exhibited worse dietary quality, on the day of dialysis.
Subject(s)
Diet/methods , Diet/statistics & numerical data , Geriatric Assessment/statistics & numerical data , Renal Dialysis/statistics & numerical data , Renal Insufficiency, Chronic/therapy , Aged , Brazil , Cross-Sectional Studies , Diet Records , Female , Geriatric Assessment/methods , Humans , MaleABSTRACT
OBJECTIVES: Diagnosing obesity by body mass index (BMI) may not be reliable in elderly individuals due to the changes in body composition. We aimed to analyze the accuracy of BMI thresholds by World Health Organization (WHO) and Nutrition Screening Initiative (NSI) to diagnose obesity in elderly patients on hemodialysis (HD). DESIGN: Multicenter cross-sectional study. SETTING: Six dialysis facilities. SUBJECTS: 169 elderly on chronic HD (70.4 ± 7.1 years; 63.9% men). MAIN OUTCOME VARIABLE: Total body fat percentage (BF%) was assessed by the sum of skinfold thicknesses and abdominal fat by waist circumference (WC). Both were used as reference to test the specificity and sensitivity of BMI thresholds (WHO: ≥30 kg/m(2); NSI: >27 kg/m(2)). RESULTS: The prevalence of obesity according to NSI-BMI, WHO-BMI, BF%, and WC thresholds were 31%, 13%, 27%, and 29.6% in men, respectively, and 36%, 15%, 13%, and 75% in women. Compared to BF%, the sensitivity of NSI-BMI was moderate (65.5%) for men and high (100%) for women, whereas that of WHO-BMI was low (31%) for men and high (87.5%) for women. Compared with WC, NSI-BMI had good (75%) sensitivity for men and moderate (47.8%) for women, whereas WHO-BMI had moderate (43.8%) sensitivity for men and low (19.6%) for women. The best agreement with BF% was observed for NSI-BMI in men (kappa = 0.46) and for WHO-BMI in women (kappa = 0.80). For WC, the best agreement was for WHO-BMI for men (kappa = 0.63) and NSI-BMI for women (kappa = 0.31). CONCLUSIONS: BMI thresholds do not accurately diagnose adiposity in elderly on HD. Therefore, using BMI may lead to misclassifications in this segment population.
Subject(s)
Body Mass Index , Obesity/diagnosis , Obesity/epidemiology , Renal Dialysis , Absorptiometry, Photon , Adipose Tissue , Adiposity , Aged , Body Composition , Brazil/epidemiology , Cross-Sectional Studies , Female , Humans , Male , Middle Aged , Prevalence , Sensitivity and Specificity , Skinfold Thickness , Waist CircumferenceABSTRACT
OBJECTIVE: To assess the performance of subjective global assessment (SGA), malnutrition inflammation score (MIS), and mini nutritional assessment short-form (MNA-SF) in older adults on hemodialysis (HD) by evaluating their concurrent and predictive validity. DESIGN: An observational and prospective study including older adults on HD. SETTING: Six dialysis units. SUBJECTS: We assessed 137 HD patients aged ≥60 years (71.7% male, 70.2 ± 7.2 years). MAIN OUTCOME MEASURES: The nutritional status was assessed by 7-point SGA, MIS and MNA-SF, and by objective methods. Patients were followed up for 14.5 (8; 26.3) months (median and interquartile) to assess survival. RESULTS: Protein energy wasting (PEW) was present in 63% of the patients when assessed by SGA, in 77% by MIS, and in 26% by MNA-SF. Most objective parameters of patients classified with PEW were lower (P < .05) than those from patients classified as well-nourished by SGA, MIS, and MNA-SF. In addition, the hazard of death was higher for patients classified as PEW by SGA (hazard ratio 2.63 [95% confidence interval 1.14-6.00]), MIS (5.13 [1.19-13.7]), and MNA-SF (2.53 [1.34-4.77]) in comparison to well-nourished patients. CONCLUSIONS: The prevalence of PEW varied depending on the tool applied. SGA, MIS, and MNA-SF had good concurrent and predictive validity for the assessment of nutritional status, but SGA and MIS were likely to perform better than MNA-SF.
Subject(s)
Nutrition Assessment , Nutritional Status , Protein-Energy Malnutrition/diagnosis , Protein-Energy Malnutrition/epidemiology , Renal Dialysis , Aged , Body Mass Index , Female , Humans , Inflammation/diagnosis , Longitudinal Studies , Male , Middle Aged , Multivariate Analysis , Prevalence , Proportional Hazards Models , Prospective Studies , Reproducibility of Results , Serum Albumin/metabolismABSTRACT
OBJECTIVE: To investigate whether the dietary intake of elderly patients on hemodialysis (HD) is lower than that of elderly individuals with normal renal function. In addition, we also assessed whether the dietary intake of elderly on HD is lower on the dialysis day (DD) than on nondialysis days (non-DD). DESIGN: A cross-sectional and observational study including elderly on HD and non-chronic kidney disease (non-CKD) elderly. SUBJECTS: We assessed 54 noninstitutionalized elderly patients on HD (study group) and 47 non-CKD elderly (control group) aged ≥60 years. MAIN OUTCOME MEASURES: All participants had their dietary intake assessed by 3-day food diaries. As a sensitivity analysis, we also assessed the dietary intake in the adequate reporters, which were identified when the ratio-energy intake-to-estimated basal metabolic rate-was above 1.27 (Goldberg index). RESULTS: When comparing dietary intake between the study and control groups, adjusted for sex and underreporting, it was noted that only the intake of protein (ß: -9.9; P: .01) and phosphorus (ß: -104; P: .04) were significantly lower in the study group. In addition, when furthering the analysis in the study group by comparing DD with non-DD, it was observed that energy (18 ± 7 vs. 21 ± 8 kcal/kg/day), protein (0.8 ± 0.4 vs. 1.0 ± 0.4 g/kg/day), lipids (41 ± 20 vs. 48 ± 23 g/day), potassium (1371 ± 587 vs. 1540 ± 484 mg/day), and phosphorous intake (647 ± 312 vs. 789 ± 287 mg/day), but not carbohydrate (155 ± 54 vs. 167 ± 55 g/day) and calcium (470 ± 345 vs. 518 ± 333 g/day) were significantly lower on DDs than on non-DDs, respectively. CONCLUSIONS: Except for protein and phosphorous, energy and nutrient intake of elderly patients on HD are similar to that of non-CKD elderly. In addition, the dietary intake is lower on DDs, highlighting the importance of focusing efforts to improve nutritional intake mainly during the day of dialysis treatment.
