Ped Cast SBP: Amamentação prolongada por 2 anos ou mais

Nesta edição do Ped Cast SBP falaremos sobre amamentação prolongada por dois anos ou mais. E o nosso convidado é o dr. Leandro Meirelles Nunes, membro do Departamento Científico de Aleitamento Materno da Sociedade Brasileira de Pediatria (SBP).

Alimentação saudável: dicas práticas para variedade e sabor: Alimentos ricos em fibras

As fibras ajudam a promover a saúde intestinal, na digestão adequada e no controle do peso, fatores importantes na prevenção do câncer

Alimentação saudável: dicas práticas para variedade e sabor: Experimente novas receitas

Procure receitas saudáveis e saborosas. Manter um peso corporal saudável é essencial na prevenção da obesidade e do câncer

Alimentação saudável: dicas práticas para variedade e sabor: Reduzir o consumo de carnes vermelhas e evitar carnes processadas é uma das formas de se proteger do câncer de cólon e reto

Reduzir o consumo de carnes vermelhas e evitar carnes processadas é uma das formas de se proteger do câncer de cólon e reto

RPPED: Consumo de alimentos ultraprocessados e fatores associados em crianças de Barbacena (MG), Brasil

O aumento do número e da disponibilidade de alimentos ultraprocessados tem chamado a atenção de profissionais de saúde infantil, pois uma grande parte deles se caracteriza pelo baixo valor nutricional e alta densidade calórica, resultante de pequenas quantidades ou ausência de micronutrientes e grandes concentrações de carboidratos livres, sal e gorduras trans e saturadas.

Associations between pan-immune-inflammation value and abdominal aortic calcification: a cross-sectional study.

Background: Abdominal aortic calcification (AAC) pathogenesis is intricately linked with inflammation. The pan-immune-inflammation value (PIV) emerges as a potential biomarker, offering reflection into systemic inflammatory states and assisting in the prognosis of diverse diseases. This research aimed to explore the association between PIV and AAC. Methods: Employing data from the National Health and Nutrition Examination Survey (NHANES), this cross-sectional analysis harnessed weighted multivariable regression models to ascertain the relationship between PIV and AAC. Trend tests probed the evolving relationship among PIV quartiles and AAC. The study also incorporated subgroup analysis and interaction tests to determine associations within specific subpopulations. Additionally, the least absolute shrinkage and selection operator (LASSO) regression and multivariable logistic regression were used for characteristics selection to construct prediction model. Nomograms were used for visualization. The receiver operator characteristic (ROC) curve, calibration plot and decision curve analysis were applied for evaluate the predictive performance. Results: From the cohort of 3,047 participants, a distinct positive correlation was observed between PIV and AAC. Subsequent to full adjustments, a 100-unit increment in PIV linked to an elevation of 0.055 points in the AAC score (ß=0.055, 95% CI: 0.014-0.095). Categorizing PIV into quartiles revealed an ascending trend: as PIV quartiles increased, AAC scores surged (ß values in Quartile 2, Quartile 3, and Quartile 4: 0.122, 0.437, and 0.658 respectively; P for trend <0.001). Concurrently, a marked rise in SAAC prevalence was noted (OR values for Quartile 2, Quartile 3, and Quartile 4: 1.635, 1.842, and 2.572 respectively; P for trend <0.01). Individuals aged 60 or above and those with a history of diabetes exhibited a heightened association. After characteristic selection, models for predicting AAC and SAAC were constructed respectively. The AUC of AAC model was 0.74 (95%CI=0.71-0.77) and the AUC of SAAC model was 0.84 (95%CI=0.80-0.87). According to the results of calibration plots and DCA, two models showed high accuracy and clinical benefit. Conclusion: The research findings illuminate the potential correlation between elevated PIV and AAC presence. Our models indicate the potential utility of PIV combined with other simple predictors in the assessment and management of individuals with AAC.

Nutritional Status and Recurrent Major Cardiovascular Events Following Acute Myocardial Infarction-A Follow-Up Study in a Primary Percutaneous Coronary Intervention Center.

BACKGROUND: Acute myocardial infarction is often accompanied by malnutrition, which is associated with an imbalance between catabolic and anabolic processes. This ultimately leads to cardiac cachexia, which worsens the patient's prognosis. We aimed to assess the correlation between nutritional status, assessed using the controlling nutritional status (CONUT) score, and the rate of major cardiovascular adverse events (MACE). METHODS: The present investigation was a non-randomized, prospective, observational study in which 108 patients with acute myocardial infarction were included. Nutritional status was assessed using the CONUT score. Based on the CONUT score, the patients were divided as follows: Group 1-normal or mild nutritional status (CONUT < 3 points, n = 76), and Group 2-moderate to severe nutritional deficiency (CONUT ≥ 3 points, n = 32). Demographic, echocardiographic, and laboratory parameters were obtained for all patients, as well as the MACE rate at 1 and 3 months of follow-up. RESULTS: The MACE occurred more frequently in patients with impaired nutritional status at both 1-month follow-up (46.9% versus 9.2%; p < 0.0001) and 3-month follow-up (68.8% versus 10.5%; p < 0.0001). In terms of cardiovascular events, patients with poor nutritional status, with a CONUT score ≥ 3, presented more frequent non-fatal myocardial infarction, stroke, revascularization procedure, and ventricular arrhythmia. Also, the number of cardiovascular deaths was higher in the undernourished group. CONCLUSIONS: This study found that patients with poor nutritional status experienced inflammatory status, frailty, and cardiovascular events more often than those with normal nutritional status at 1-month and 3-month follow-up after an acute myocardial infarction.

The association between non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) and kidney stones: a cross-sectional study.

BACKGROUND: The relationship between the NHHR and kidney stone risk remains unknown. The purpose of this study was to evaluate the association between adult NHHR and kidney stone occurrence in USA. METHODS: This study used a variety of statistical techniques such as threshold effects, subgroup analysis, smooth curve fitting, multivariate logistic regression, and data from the National Health and Nutrition Examination Survey (NHANES) from 2007 to 2014. We aimed to clarify the relationship between the NHHR and kidney stone risk. RESULTS: The average age of the 21,058 individuals in this research was 49.70 ± 17.64 years. The mean NHHR was 3.00 ± 1.47, and the overall prevalence of kidney stone occurrence was 9.05%. The prevalence within the quartile ranges (Q1-Q4) was 7.01%, 8.71%, 9.98%, and 10.49%, respectively. The overall average recurrence rate of kidney stones was 3.05%, demonstrating a significant increase with increasing NHHR (Q1: 1.92%, Q2: 2.92%, Q3: 3.35%, Q4: 4.00%, P < 0.01). The occurrence of kidney stones increased by 4% (95% CI: 1.00-1.08, P = 0.0373) and the chance of recurrence increased by 9% (95% CI: 1.03-1.14, P < 0.01) with each unit increase in NHHR. The interaction analysis results demonstrated that the relationship between the NHHR and the risk of kidney stones was not significantly impacted by the following factors: sex, body mass index, poverty income ratio, diabetes, or hypertension. Curve fitting and threshold effect analysis also demonstrated a non-linear association, with a breakpoint found at 3.17, between the NHHR and the risk of kidney stones. CONCLUSIONS: In adults in the USA, there is a substantial correlation between elevated NHHR levels and a higher probability of kidney stones developing and recurring. Timely intervention and management of NHHR may effectively mitigate the occurrence and recurrence of kidney stones.

An explainable machine learning model for prediction of high-risk nonalcoholic steatohepatitis.

Early identification of high-risk metabolic dysfunction-associated steatohepatitis (MASH) can offer patients access to novel therapeutic options and potentially decrease the risk of progression to cirrhosis. This study aimed to develop an explainable machine learning model for high-risk MASH prediction and compare its performance with well-established biomarkers. Data were derived from the National Health and Nutrition Examination Surveys (NHANES) 2017-March 2020, which included a total of 5281 adults with valid elastography measurements. We used a FAST score ≥ 0.35, calculated using liver stiffness measurement and controlled attenuation parameter values and aspartate aminotransferase levels, to identify individuals with high-risk MASH. We developed an ensemble-based machine learning XGBoost model to detect high-risk MASH and explored the model's interpretability using an explainable artificial intelligence SHAP method. The prevalence of high-risk MASH was 6.9%. Our XGBoost model achieved a high level of sensitivity (0.82), specificity (0.91), accuracy (0.90), and AUC (0.95) for identifying high-risk MASH. Our model demonstrated a superior ability to predict high-risk MASH vs. FIB-4, APRI, BARD, and MASLD fibrosis scores (AUC of 0.95 vs. 0.50, 0.50, 0.49 and 0.50, respectively). To explain the high performance of our model, we found that the top 5 predictors of high-risk MASH were ALT, GGT, platelet count, waist circumference, and age. We used an explainable ML approach to develop a clinically applicable model that outperforms commonly used clinical risk indices and could increase the identification of high-risk MASH patients in resource-limited settings.

Awareness and Self-Reported Knowledge and Training on Nutrition in Older People among Primary Care Practitioners.

OBJECTIVES: To assess the awareness and training of primary care physicians on nutrition in older patients. DESIGN: Observational, real-world data survey. SETTING: Primary Care. PARTICIPANTS: One hundred sixty-two physicians, generalists and specialists, working in primary care. MEASUREMENTS: Participants received an online questionnaire with 18 questions concerning the importance of nutrition, degree of knowledge, needs, and training in nutrition. The results were evaluated using univariate descriptive analysis, with a percentage for each chosen answer. Logistic regression models were used to evaluate if answers were related to training in nutrition and professional experience. RESULTS: 43.2% of participants reported that nutrition is very important in individuals over 65 years old, and 90% were aware of the importance of nutrition in healthy aging. Nutritional problems affect 30 to 50% of patients, according to 44.7% of participants. 89.2% agree about the need for nutritional assessment in older patients; however, the professionals believe they should be better prepared. Two out of three respondents consider the training received in nutrition during their undergraduate course or continuing medical education as deficient. Time of professional practice was mainly associated with conceptual facts, while continuing medical education did with practical issues, mainly the use of screening and diagnostic tools [FRAIL (OR: 3.16; 95%IC: 1.55-6.46), MNA-SF (OR: 6.455; 95%IC: 2.980-13.981) and SARC-F (OR: 3.063; 95%IC: 1.284-7.309)]. CONCLUSION: Although primary care professionals are aware of the importance of nutrition in older patients, there are still gaps in daily practice that could be improved by developing educational strategies.

Poor Nutritional Status Is Associated with Death in a Population of Dialyzed Older Persons.

BACKGROUND: Older patients in hemodialysis have high prevalence of malnutrition that is often associated with rapid weight loss till cachexia. OBJECTIVES: We aimed to investigate whether in older patients undergoing hemodialysis the association between poor nutritional status and mortality may be independent of comorbidities and other risk factors. DESIGN: Retrospective longitudinal study. SETTING: Unit of Nephrology, Dialysis and Kidney Transplantation of the Policlinic Hospital of Milan, Milan, Italy. PARTICIPANTS: A total of 107 prevalent patients undergoing hemodialysis for at least three months. MEASUREMENTS: Sociodemographic, clinical, and biological data were recorded. Unintentional weight loss (UWL) was defined as loss of body weight > 5% in 3 months or > 10% in 6 months. We computed a 21-item Frailty Index that included clinical conditions associated with malnutrition and mortality in this population. Unadjusted and adjusted Cox proportional hazard models were performed to test the association of UWL, albumin and transferrin levels with death. Survival analyses based on Kaplan-Meier estimates were performed. RESULTS: Patients' age was 79 (±7.7) years; 38 (35%) were women. Thirty-one patients (29%) died during follow-up. Eighteen (16.8%) patients experienced UWL during the follow-up period. UWL was positively associated with death in the unadjusted model and even after the progressive inclusion of potential confounders. Low albumin levels were positively associated with death only in the unadjusted and partially adjusted models while low transferrin levels were not associated with death in none of the models. Mortality was significantly higher in those patients experiencing both UWL and albumin levels below 3.5 mg/dL. CONCLUSIONS: In older patients undergoing chronic hemodialysis UWL is associated with mortality independently of comorbidities and other risk factors. Patients presenting both UWL and low albumin levels were those experiencing the worst outcomes in terms of mortality.

Association between a malnutrition screening tool and mealtime observation checklist items in older people receiving oral intake support: A cross-sectional study of four long-term care facilities.

BACKGROUND: Multiple nutritional screening tools are available for older people; however, few screening tools include specific eating behaviours as risk factors that could lead to poor food intake. The 24-item mealtime observation checklist (MOCL), developed by the Japanese Ministry of Health, Labour and Welfare in 2015, comprises signs, symptoms and conditions during mealtime that reflect eating and swallowing functions and oral conditions. OBJECTIVES: To examine factors associated with malnutrition among the MOCL items in older people. METHODS: A cross-sectional study was conducted using data from a retrospective cohort study conducted at four long-term care facilities in Japan. Among the older people residing in the facilities, 198 who received oral intake support were included in the analyses. Nutritional status was assessed using the Mini Nutritional Assessment-Short Form (MNA®-SF), and comparisons were made between 'malnutrition' and 'at-risk or well-nourished'. The association between each MOCL item and malnutrition was assessed using multivariable logistic regression analysis. RESULTS: Of the 198 participants, 98 (49.5%) were classified as 'malnutrition', 98 (49.5%) as 'at-risk' and 2 (1%) as 'well-nourished' by MNA®-SF. After adjusting for participant characteristics such as age and sex, significant associations with malnutrition were observed for four items from the 24-item MOCL: 'Has fatigue due to extended mealtime (odds ratio [OR] = 3.20, 95% confidence interval [CI]: 1.36-7.53)', 'Food residues in the oral cavity are conspicuous (OR = 2.77, 95% CI: 1.38-5.52)', 'Has difficulty swallowing food and takes time to swallow (OR = 3.78, 95% CI: 1.45-9.84)' and 'Assisted feeding is required (OR = 3.70, 95% CI: 1.73-7.91)'. CONCLUSIONS: The four signs, symptoms and conditions during mealtime identified in this study may be associated with malnutrition in older people. IMPLICATIONS FOR PRACTICE: These may indicate the potential eating problems that can lead to malnutrition. By incorporating them into early intervention and prevention measures, health care providers may help prevent malnutrition and improve the nutritional status of older people.

The Role of Perioperative Nutritional Status and Supplementation in Orthopaedic Surgery: A Review of Postoperative Outcomes.

¼ Identification of malnourished and at-risk patients should be a standardized part of the preoperative evaluation process for every patient.¼ Malnourishment is defined as a disorder of energy, protein, and nutrients based on the presence of insufficient energy intake, weight loss, muscle atrophy, loss of subcutaneous fat, localized or generalized fluid accumulation, or diminished functional status.¼ Malnutrition has been associated with worse outcomes postoperatively across a variety of orthopaedic procedures because malnourished patients do not have a robust metabolic reserve available for recovery after surgery.¼ Screening assessment and basic laboratory studies may indicate patients' nutritional risk; however, laboratory values are often not specific for malnutrition, necessitating the use of prognostic screening tools.¼ Nutrition consultation and perioperative supplementation with amino acids and micronutrients are 2 readily available interventions that orthopaedic surgeons can select for malnourished patients.

Exploring the association between dietary Inflammatory Index and chronic pain in US adults using NHANES 1999-2004.

Chronic pain, a substantial public health issue, may be influenced by dietary patterns through systemic inflammation. This cross-sectional study explored the association between Dietary Inflammatory Index (DII) and chronic pain among 2581 American adults from NHANES data. The DII, ranging from - 4.98 to 4.69, reflects the inflammatory potential of the diet, with higher scores indicating greater pro-inflammatory capacity. Our findings showed no significant association between the continuous DII score and chronic pain prevalence. However, a nonlinear relationship emerged. When the DII was categorized, a significant association between higher DII scores (DII ≥ 2.5) and chronic pain prevalence was observed. The analysis uncovered a U-shaped pattern, with an inflection point at a DII score of - 0.9, indicating an association between both low and high levels of dietary inflammation are associated with higher pain prevalence. This nuanced interaction between dietary inflammation and chronic pain indicates the possibility of incorporating dietary modification into pain management strategies and underscores the need for further research into the long-term effects of diet on chronic pain.

Targeted metabolomic profiles of serum amino acids are independently correlated with malnutrition in older adults.

BACKGROUND: Malnutrition is a common geriatric syndrome that is closely associated with adverse clinical outcomes and poses significant harm to older adults. Early assessment of nutritional status plays a crucial role in preventing and intervening in cases of malnutrition. However, there is currently a lack of measurable methods and biomarkers to evaluate malnutrition in older adults accurately. The aim of this study is to investigate the independent correlation between serum levels of amino acids and malnutrition in older adults, and to identify effective metabolomics biomarkers that can aid in the early detection of geriatric malnutrition. METHODS: A total of 254 geriatric medical examination participants from Beijing Hospital were included in the study, consisting of 182 individuals with normal nutritional status (Normal group) and 72 patients at risk of malnutrition or already malnourished (MN group). Malnutrition was assessed using the Mini-Nutritional Assessment Short-Form (MNA-SF). Demographic data were collected, and muscle-related and lipid indexes were determined. Serum amino acid concentrations were measured using isotope dilution liquid chromatography-tandem mass spectrometry (LC-MS/MS). The correlation between serum amino acid levels and malnutrition was analyzed using non-parametric tests, partial correlation analysis, linear regression, and logistic regression. RESULTS: The geriatric MN group exhibited significantly lower serum aromatic amino acid levels (P < 0.05) compared to the normal group. A positive correlation was observed between serum aromatic amino acid levels and the MNA-SF score (P = 0.002), as well as with known biomarkers of malnutrition such as body mass index (BMI) (P < 0.001) and hemoglobin (HGB) (P = 0.005). Multivariable logistic or linear regression analyses showed that aromatic amino acid levels were negatively correlated with MN and positively correlated with the MNA-SF score, after adjusting for some confounding factors, such as age, gender, BMI, smoking status, history of dyslipidemia, diabetes mellitus and frailty. Stratified analyses revealed that these trends were more pronounced in individuals without a history of frailty compared to those with a history of frailty, and there was an interaction between aromatic amino acid levels and frailty history (P = 0.004). CONCLUSION: Our study suggests that serum aromatic amino acids are independently associated with malnutrition in older adults. These results have important implications for identifying potential biomarkers to predict geriatric malnutrition or monitor its progression and severity, as malnutrition can result in poor clinical outcomes.

Associations between cardiovascular diseases and cancer mortality: insights from a retrospective cohort analysis of NHANES data.

BACKGROUND: This study explored the association of cardiovascular disease (CVD) with cancer mortality risk in individuals with or without a history of cancer, to better understand the interplay between CVD and cancer outcomes. METHODS: Utilizing data from the National Health and Nutrition Examination Survey (NHANES) spanning 1999 to 2018, a retrospective cohort analysis was conducted. This analysis accounted for the survey's complex design to ensure national representativeness. The association of CVD with cancer mortality was assessed through multivariable Cox proportional hazards models. RESULTS: The present study included 59,653 participants, of whom 54,095 did not have cancer and 5558 had a history of cancer. In individuals without cancer, heart failure (HF) was associated with an increased risk of mortality from cancer (HR, 1.36; 95% CI, 1.09-1.69; P = 0.005). In participants with cancer, HF correlated with a higher risk of mortality from cancer (HR, 1.76; 95% CI, 1.32-2.34; P < 0.001). Diabetes (DM), hypertension (HBP) and coronary heart disease (CHD) were not significantly associated with an increased risk of mortality from cancer. Significant differences were observed in the interaction between cancer and CHD (HR, 0.68; 95% CI, 0.53-0.87; P = 0.002). For cancer and HBP, a similar trend was noted (HR, 0.75; 95% CI, 0.62-0.91; P = 0.003). No significant differences were found in interactions between HF, DM and cancer. CONCLUSIONS: HF was associated with an increased risk of mortality from cancer, regardless of cancer history, while HBP, CHD and DM showed no significant association. These findings underscore the importance of understanding the mechanisms behind the increased risk of cancer mortality following HF.

Inflammation mediates the association between furan exposure and the prevalence and mortality of chronic obstructive pulmonary disease: National Health and Nutrition Examination Survey 2013-2018.

BACKGROUND: Although extensive research has established associations between chronic obstructive pulmonary disease (COPD) and environmental pollutants, the connection between furan and COPD remains unclear. This study aimed to explore the association between furan and COPD while investigating potential mechanisms. METHODS: The study involved 7,482 adults from the National Health and Nutrition Examination Survey 2013-2018. Exposure to furan was assessed using blood furan levels. Participants were categorized into five groups based on quartiles of log10-transformed blood furan levels. Logistic regression and restricted cubic spline regression models were used to assess the association between furan exposure and COPD risk. Mediating analysis was performed to assess the contribution of inflammation to the effects of furan exposure on COPD prevalence. Cox regression was used to assess the association between furan exposure and the prognosis of COPD. RESULTS: Participants with COPD exhibited higher blood furan levels compared to those without COPD (P < 0.001). Log10-transformed blood furan levels were independently associated with an increased COPD risk after adjusting for all covariates (Q5 vs. Q1: OR = 4.47, 95% CI = 1.58-12.66, P = 0.006, P for trend = 0.001). Inflammatory cells such as monocytes, neutrophils, and basophils were identified as mediators in the relationship between furan exposure and COPD prevalence, with mediated proportions of 8.73%, 20.90%, and 10.94%, respectively (all P < 0.05). Moreover, multivariate Cox regression analysis revealed a positive correlation between log10-transformed blood furan levels and respiratory mortality in COPD patients (HR = 41.00, 95% CI = 3.70-460.00, P = 0.003). CONCLUSIONS: Exposure to furan demonstrates a positive correlation with both the prevalence and respiratory mortality of COPD, with inflammation identified as a crucial mediator in this relationship.

Effects of red meat taxes and warning labels on food groups selected in a randomized controlled trial.

BACKGROUND: High consumption of red and processed meat contributes to both health and environmental harms. Warning labels and taxes for red meat reduce selection of red meat overall, but little is known about how these potential policies affect purchases of subcategories of red meat (e.g., processed versus unprocessed) or of non-red-meat foods (e.g., cheese, pulses) relevant to health and environmental outcomes. This study examined consumer responses to warning labels and taxes for red meat in a randomized controlled trial. METHODS: In October 2021, we recruited 3,518 US adults to complete a shopping task in a naturalistic online grocery store. Participants were randomly assigned to one of four arms: control (no warning labels or tax), warning labels only (health and environmental warning labels appeared next to products containing red meat), tax only (prices of products containing red meat were increased 30%) or combined warning labels + tax. Participants selected items to hypothetically purchase, which we categorized into food groups based on the presence of animal- and plant-source ingredients (e.g., beef, eggs, pulses), meat processing level (e.g., processed pork versus unprocessed pork), and meat species (e.g., beef versus pork). We assessed the effects of the warning labels and tax on selections from each food group. RESULTS: Compared to control, all three interventions led participants to select fewer items with processed meat (driven by reductions in processed pork) and (for the tax and warning labels + tax interventions only) fewer items with unprocessed meat (driven by reductions in unprocessed beef). All three interventions also led participants to select more items containing cheese, while only the combined warning labels + tax intervention led participants to select more items containing processed poultry. Except for an increase in selection of pulses in the tax arm, the interventions did not affect selections of fish or seafood (processed or unprocessed), eggs, or plant-based items (pulses, nuts & seeds, tofu, meat mimics, grains & potatoes, vegetables). CONCLUSIONS: Policies to reduce red meat consumption are also likely to affect consumption of other types of foods that are relevant to both health and environmental outcomes. TRIAL REGISTRATION: NCT04716010 on www. CLINICALTRIALS: gov .

Assessing Laboratory Method Validations for Informing Inference Across Survey Cycles in the National Health and Nutrition Examination Survey.

Background and objectives Laboratory tests conducted on survey respondents' biological specimens are a major component of the National Health and Nutrition Examination Survey. The National Center for Health Statistics' Division of Health and Nutrition Examination Surveys performs internal analytic method validation studies whenever laboratories undergo instrumental or methodological changes, or when contract laboratories change. These studies assess agreement between methods to evaluate how methodological changes could affect data inference or compromise consistency of measurements across survey cycles. When systematic differences between methods are observed, adjustment equations are released with the data documentation for analysts planning to combine survey cycles or conduct a trend analysis. Adjustment equations help ensure that observed differences from methodological changes are not misinterpreted as population changes. This report assesses the reliability of statistical methods used by the Division of Health and Nutrition Examination Surveys when conducting method validation studies to address concerns that adjustment equations are being overproduced (recommended too frequently). Methods Public-use 2017-2018 National Health and Nutrition Examination Survey laboratory data were used to simulate "new" measurements for 120 analytic method validation studies. Blinded studies were analyzed to determine the final adjustment recommendation for each study using difference plots, descriptive statistics, t-tests, and Deming regressions. Final recommendations were compared with simulated difference types to assess how often spurious results were observed. Concordance estimates (concordance, misclassification, sensitivity, specificity, and positive and negative predictive values) informed assessments. Results Adjustment equations were appropriately recommended for 75.0% of the studies, over-recommended for 5.8%, under-recommended for 15.8%, and recommended with an inappropriate technique for 3.3%. Across simulated difference types, sensitivity ranged from 65.9% to 84.4% and specificity from 74.7% to 97.5%. Conclusions Findings from this report suggest that the current methodology used by the Division of Health and Nutrition Examination Surveys performs moderately well. Based on these data and analyses, underadjustment was more prevalent than overadjustment, suggesting that the current methodology is conservative.

Association of Handgrip Strength and Cardiovascular Disease Risk Among Middle-Aged Postmenopausal Women: An Analysis of the Korea National Health and Nutrition Examination Survey 2014-2019.

Purpose: Handgrip strength is an indicator of overall muscle strength and has been associated with an increased risk of cardiovascular disease. Evidence suggests that menopause is a risk factor for cardiovascular disease in women, and muscle strength decreases progressively after menopause. Despite the prognostic importance of the decline in muscle strength and increased cardiovascular disease risk among postmenopausal women, evidence of their association is limited. This study aimed to investigate the relationship between handgrip strength and cardiovascular disease risk among postmenopausal, middle-aged Korean women. Patients and Methods: Using pooled cohort equations, we calculated the 10-year risk of atherosclerotic cardiovascular disease (ASCVD) among postmenopausal women (N = 2019) aged 50-64 years without cardiovascular disease history from the 2014-2019 Korea National Health and Nutrition Examination Survey. Relative grip strength was defined as measured grip strength divided by body mass index. Logistic regression analysis of a complex sampling design was performed to evaluate the association between relative grip strength and a predicted 10-year ASCVD risk ≥7.5%. Results: The average handgrip strength was 24.8 kg, and 5.2% of women were considered for sarcopenia (<18 kg). The quartile-stratified relative grip strength was negatively associated with 10-year ASCVD risk (p < 0.001). In the multiple logistic regression analysis, the adjusted odds ratio for the highest relative grip strength quartile was 0.53 (95% confidence interval [CI]: 0.36-0.78), and that of the group who breastfed for more than 12 months was 1.75 (95% CI: 1.36-2.25) for 10-year ASCVD risk. Conclusion: Increased handgrip strength may be associated with lower cardiovascular disease risk among middle-aged postmenopausal women in Korea. Our findings provide critical evidence regarding the importance of increasing handgrip strength among postmenopausal, middle-aged women to reduce cardiovascular disease risk. Handgrip strength measurement might be a valuable screening tool for cardiovascular disease prevention.