Lower Abdominal Fatness And Lower Protein Intake Are Risk Factors For Sarcopenic And Dynapenic Women

2016 ◽  
Vol 48 ◽  
pp. 145
Author(s):  
Leonardo E. Perera ◽  
Mariana S. Nakagaki ◽  
Edilaine Michelin ◽  
Gabriel N. Vilches ◽  
Okesley Teixeira ◽  
...  
Keyword(s):  
Risk Factors ◽  
Protein Intake ◽  
Lower Protein ◽  
Abdominal Fatness

scholarly journals Association of protein intake with the outcomes of critically ill patients: a post hoc analysis of the PermiT trial

2018 ◽  
Vol 108 (5) ◽  
pp. 988-996 ◽  
Author(s):  
Y M Arabi ◽  
H M Al-Dorzi ◽  
S Mehta ◽  
H M Tamim ◽  
S H Haddad ◽  
...  
Keyword(s):  
Propensity Score ◽  
Critically Ill ◽  
Nitrogen Balance ◽  
Critically Ill Patients ◽  
Protein Intake ◽  
Nitrogen Excretion ◽  
Post Hoc Analysis ◽  
Lower Protein ◽  
Protein Group ◽  
Post Hoc

ABSTRACT Background The optimal amount of protein intake in critically ill patients is uncertain. Objective In this post hoc analysis of the PermiT (Permissive Underfeeding vs. Target Enteral Feeding in Adult Critically Ill Patients) trial, we tested the hypothesis that higher total protein intake was associated with lower 90-d mortality and improved protein biomarkers in critically ill patients. Design In this post hoc analysis of the PermiT trial, we included patients who received enteral feeding for ≥3 consecutive days. Using the median protein intake of the cohort as a cutoff, patients were categorized into 2 groups: a higher-protein group (>0.80 g · kg–1 · d–1) and a lower-protein group (≤0.80 g · kg–1 · d–1). We developed a propensity score for receiving higher protein. Primary outcome was 90-d mortality. We also compared serial values of prealbumin, transferrin, 24-h urinary nitrogen, and 24-h nitrogen balance on days 1, 7, and 14. Results Among the 729 patients included in this analysis, the average protein intake was 0.8 ± 0.3 g · kg–1 · d–1 [1.0 ± 0.2 g · kg–1 · d–1 in the higher-protein group (n = 365) and 0.6 ± 0.2 g · kg–1 · d–1 in the lower-protein group (n = 364); P < 0.0001]. There was no difference in 90-d mortality between the 2 groups [88/364 (24.2%) compared with 94/363 (25.9%), propensity score–adjusted OR: 0.80; 95% CI: 0.56, 1.16; P = 0.24]. Higher protein intake was associated with an increase in 24-h urea nitrogen excretion compared with lower protein intake, but without a significant change in prealbumin, transferrin, or 24-h nitrogen balance. Conclusions In the PermiT trial, a moderate difference in protein intake was not associated with lower mortality. Higher protein intake was associated with increased nitrogen excretion in the urine without a corresponding change in prealbumin, transferrin, or nitrogen balance. Protein intake needs to be tested in adequately powered randomized controlled trials targeting larger differences in protein intake in high-risk populations.

scholarly journals Interaction between the genetic risk score and dietary protein intake on cardiometabolic traits in Southeast Asian

2020 ◽  
Vol 15 (1) ◽  
Author(s):  
Sooad Alsulami ◽  
A. S. Aji ◽  
U. Ariyasra ◽  
S. R. Sari ◽  
N. Tasrif ◽  
...  
Keyword(s):  
Risk Score ◽  
Genetic Risk ◽  
Protein Intake ◽  
Genetic Risk Score ◽  
Protein Diet ◽  
Gene Variants ◽  
Cardiometabolic Diseases ◽  
Risk Alleles ◽  
Lower Protein ◽  
Cardiometabolic Traits

Abstract Background Cardiometabolic diseases are complex traits which are influenced by several single nucleotide polymorphisms (SNPs). Thus, analysing the combined effects of multiple gene variants might provide a better understanding of disease risk than using a single gene variant approach. Furthermore, studies have found that the effect of SNPs on cardiometabolic traits can be influenced by lifestyle factors, highlighting the importance of analysing gene-lifestyle interactions. Aims In the present study, we investigated the association of 15 gene variants with cardiometabolic traits and examined whether these associations were modified by lifestyle factors such as dietary intake and physical activity. Methods The study included 110 Minangkabau women [aged 25–60 years and body mass index (BMI) 25.13 ± 4.2 kg/m2] from Padang, Indonesia. All participants underwent a physical examination followed by anthropometric, biochemical and dietary assessments and genetic tests. A genetic risk score (GRS) was developed based on 15 cardiometabolic disease-related SNPs. The effect of GRS on cardiometabolic traits was analysed using general linear models. GRS-lifestyle interactions on continuous outcomes were tested by including the interaction term (e.g. lifestyle factor*GRS) in the regression model. Models were adjusted for age, BMI and location (rural or urban), wherever appropriate. Results There was a significant association between GRS and BMI, where individuals carrying 6 or more risk alleles had higher BMI compared to those carrying 5 or less risk alleles (P = 0.018). Furthermore, there were significant interactions of GRS with protein intake on waist circumference (WC) and triglyceride concentrations (Pinteraction = 0.002 and 0.003, respectively). Among women who had a lower protein intake (13.51 ± 1.18% of the total daily energy intake), carriers of six or more risk alleles had significantly lower WC and triglyceride concentrations compared with carriers of five or less risk alleles (P = 0.0118 and 0.002, respectively). Conclusions Our study confirmed the association of GRS with higher BMI and further showed a significant effect of the GRS on WC and triglyceride levels through the influence of a low-protein diet. These findings suggest that following a lower protein diet, particularly in genetically predisposed individuals, might be an effective approach for addressing cardiometabolic diseases among Southeast Asian women.

scholarly journals Natural Isotope Abundances of Carbon and Nitrogen in Tissue Proteins and Amino Acids as Biomarkers of the Decreased Carbohydrate Oxidation and Increased Amino Acid Oxidation Induced by Caloric Restriction under a Maintained Protein Intake in Obese Rats

Nutrients ◽  
2019 ◽  
Vol 11 (5) ◽  
pp. 1087 ◽  
Author(s):  
Jean-François Huneau ◽  
Olivier L. Mantha ◽  
Dominique Hermier ◽  
Véronique Mathé ◽  
Guillaume Galmiche ◽  
...  
Keyword(s):  
Amino Acids ◽  
Caloric Restriction ◽  
Protein Intake ◽  
Skeletal Muscles ◽  
Acid Oxidation ◽  
Protein Mass ◽  
Obese Rats ◽  
Lower Protein ◽  
Underlying Mechanisms ◽  
Δ15n And Δ13c

A growing body of evidence supports a role for tissue-to-diet 15N and 13C discrimination factors (Δ15N and Δ13C), as biomarkers of metabolic adaptations to nutritional stress, but the underlying mechanisms remain poorly understood. In obese rats fed ad libitum or subjected to gradual caloric restriction (CR), under a maintained protein intake, we measured Δ15N and Δ13C levels in tissue proteins and their constitutive amino acids (AA) and the expression of enzymes involved in the AA metabolism. CR was found to lower protein mass in the intestine, liver, heart and, to a lesser extent, some skeletal muscles. This was accompanied by Δ15N increases in urine and the protein of the liver and plasma, but Δ15N decreases in the proteins of the heart and the skeletal muscles, alongside Δ13C decreases in all tissue proteins. In Lys, Δ15N levels rose in the plasma, intestine, and some muscles, but fell in the heart, while in Ala, and to a lesser extent Glx and Asx, Δ13C levels fell in all these tissues. In the liver, CR was associated with an increase in the expression of genes involved in AA oxidation. During CR, the parallel rises of Δ15N in urine, liver, and plasma proteins reflected an increased AA catabolism occurring at the level of the liver metabolic branch point, while Δ15N decreases in cardiac and skeletal muscle proteins indicated increased protein and AA catabolism in these tissues. Thus, an increased protein and AA catabolism results in opposite Δ15N effects in splanchnic and muscular tissues. In addition, the Δ13C decrease in all tissue proteins, reflects a reduction in carbohydrate (CHO) oxidation and routing towards non-indispensable AA, to achieve fuel economy.

Dietary protein intake is associated with favorable cardiometabolic risk factors in adults: Tehran Lipid and Glucose Study

2012 ◽  
Vol 32 (3) ◽  
pp. 169-176 ◽  
Author(s):  
Parvin Mirmiran ◽  
Majid Hajifaraji ◽  
Zahra Bahadoran ◽  
Farzaneh Sarvghadi ◽  
Fereidoun Azizi
Keyword(s):  
Risk Factors ◽  
Dietary Protein ◽  
Protein Intake ◽  
Cardiometabolic Risk ◽  
Cardiometabolic Risk Factors ◽  
Dietary Protein Intake

scholarly journals Association of Nutritional Factors with Hearing Loss

Nutrients ◽  
2019 ◽  
Vol 11 (2) ◽  
pp. 307 ◽  
Author(s):  
Su Jung ◽  
Sang Kim ◽  
Seung Yeo
Keyword(s):  
Hearing Loss ◽  
Protein Intake ◽  
Public Health Problem ◽  
Major Public Health Problem ◽  
Nutritional Factors ◽  
Hearing Status ◽  
Middle Ear Infection ◽  
Lower Protein ◽  
Cholesterol Intake ◽  
The Relationship

Hearing loss (HL) is a major public health problem. Nutritional factors can affect a variety of diseases, such as HL, in humans. Thus far, several studies have evaluated the association between nutrition and hearing. These studies found that the incidence of HL was increased with the lack of single micro-nutrients such as vitamins A, B, C, D and E, and zinc, magnesium, selenium, iron and iodine. Higher carbohydrate, fat, and cholesterol intake, or lower protein intake, by individuals corresponded to poorer hearing status. However, higher consumption of polyunsaturated fatty acids corresponded to better hearing status of studied subjects. In addition to malnutrition, obesity was reported as a risk factor for HL. In studies of the relationship between middle ear infection and nutrition in children, it was reported that lack of vitamins A, C and E, and zinc and iron, resulted in poorer healing status due to vulnerability to infection. These studies indicate that various nutritional factors can affect hearing. Therefore, considering that multifactorial nutritional causes are responsible, in part, for HL, provision of proper guidelines for maintaining a proper nutritional status is expected to prevent some of the causes and burden of HL.

Impact of physical activity, protein intake and social network and their combination on the development of frailty

2019 ◽  
Vol 30 (2) ◽  
pp. 340-346
Author(s):  
Sandra Haider ◽  
Igor Grabovac ◽  
Deborah Drgac ◽  
Christine Mogg ◽  
Moritz Oberndorfer ◽  
...  
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Social Network ◽  
Protein Intake ◽  
Community Dwelling ◽  
Adverse Health Outcomes ◽  
Low Protein ◽  
Geriatric Condition ◽  
The Impact

Abstract Background Frailty is a geriatric condition associated with adverse health outcomes. As physical inactivity, low protein intake and poor social network are known risk factors, we aimed to assess the influence of these parameters and their interaction in an 11-year follow-up study on a Europe-wide level. Methods Data from the Study on Health, Ageing and Retirement in Europe were used, including 22 226 community-dwelling robust and prefrail persons aged ≥50 years, from 11 countries. Frailty was assessed with the ‘Frailty Instrument for Primary care of the Survey of Health, Ageing and Retirement in Europe’. Additionally, self-reported physical activity (PA), protein intake and satisfaction with social network were assessed. The impact of these parameters on the development of frailty was calculated using multivariate cox regressions. Results Performing no regular PA, was associated with higher hazards ratio (HRs) for frailty compared with performing regular PA [men: 1.90 (95%CI: 1.50–2.42); women: 1.65 (95%CI: 1.25–2.18)]; HRs for low protein intake were 1.16 (95%CI: 0.93–1.46) for men and 1.05 (95%CI: 0.80–1.37) for women. And HR for poor social network were 0.92 (95%CI: 0.74–1.15) for men and 1.72 (95%CI: 1.31–2.27)] for women. In general, persons with a combination of two of the assessed risk factors had a higher risk for frailty compared with those with no or only one of the risk factors. However, no significant synergy index could be found. Conclusion The results illustrate the importance of PA, but also of nutritional and social network to prevent frailty.

scholarly journals A hypoenergetic diet with decreased protein intake does not reduce lean body mass in trained females

2020 ◽  
Author(s):  
Alice G. Pearson ◽  
Lee Alexander ◽  
Oliver C. Witard ◽  
Thomas E. Coughlin ◽  
Kevin D. Tipton ◽  
...  
Keyword(s):  
Body Composition ◽  
Lean Body Mass ◽  
Energy Intake ◽  
Body Mass ◽  
Protein Intake ◽  
Energy Restriction ◽  
Balanced Diet ◽  
Dietary Condition ◽  
Lower Protein ◽  
The Impact

Abstract Purpose Increasing protein intake during energy restriction (ER) attenuates lean body mass (LBM) loss in trained males. However, whether this relationship exists in trained females is unknown. This study examined the impact of higher compared to lower protein intakes (35% versus 15% of energy intake) on body composition in trained females during 2 weeks of severe ER. Methods Eighteen well-trained females completed a 1-week energy balanced diet (HD100), followed by a 2-week hypoenergetic (40% ER) diet (HD60). During HD60, participants consumed either a high protein (HP; 35% protein, 15% fat) or lower protein (CON; 15% protein, 35% fat) diet. Body composition, peak power, leg strength, sprint time, and anaerobic endurance were assessed at baseline, pre-HD60, and post-HD60. Results Absolute protein intake was reduced during HD60 in the CON group (from 1.6 to 0.9 g·d·kgBM−1) and maintained in the HP group (~ 1.7 g·d·kgBM−1). CON and HP groups decreased body mass equally during HD60 (− 1.0 ± 1.1 kg; p = 0.026 and − 1.1 ± 0.7 kg; p = 0.002, respectively) and maintained LBM. There were no interactions between time point and dietary condition on exercise performance. Conclusion The preservation of LBM during HD60, irrespective of whether absolute protein intake is maintained or reduced, contrasts with findings in trained males. In trained females, the relationship between absolute protein intake and LBM change during ER warrants further investigation. Future recommendations for protein intake during ER should be expressed relative to body mass, not total energy intake, in trained females.

Higher versus lower protein intake in formula-fed term infants

2020 ◽  
Author(s):  
Alejandro G Gonzalez Garay ◽  
Isabel Medina Vera ◽  
Aurora E Serralde-Zúñiga ◽  
Liliana Velasco Hidalgo ◽  
Mathy Victoria Alonso Ocaña
Keyword(s):  
Protein Intake ◽  
Term Infants ◽  
Lower Protein

scholarly journals Dietary Animal to Plant Protein Ratio Is Associated with Risk Factors of Metabolic Syndrome in Participants of the AHS-2 Calibration Study

Nutrients ◽  
2021 ◽  
Vol 13 (12) ◽  
pp. 4296
Author(s):  
Bahar Azemati ◽  
Sujatha Rajaram ◽  
Karen Jaceldo-Siegl ◽  
Ella H. Haddad ◽  
David Shavlik ◽  
...  
Keyword(s):  
Risk Factors ◽  
Metabolic Syndrome ◽  
Blood Glucose ◽  
Waist Circumference ◽  
Dietary Protein ◽  
Protein Intake ◽  
Fasting Blood Glucose ◽  
Plant Protein ◽  
Protein Ratio ◽  
Calibration Study

Background: Few research studies have focused on the effects of dietary protein on metabolic syndrome and its components. Our objective was to determine the relationship between the type of dietary protein intake and animal to plant (AP) protein ratio with metabolic syndrome and its components. Methods: This population-based study had a cross sectional design and conducted on 518 participants of the Adventist Health Study 2 (AHS-2) Calibration Study. Two sets of three dietary 24-h recalls were obtained six months apart. Anthropometric measures and biochemical tests were performed in clinics. Regression calibration models were used to determine the association of type of dietary protein with metabolic syndrome and its components (raised triglyceride, raised blood pressure, reduced high-density lipoprotein cholesterol (HDL), raised fasting blood glucose and increased waist circumference). Results: The likelihood of metabolic syndrome was lower in those with higher total dietary protein and animal protein intake (p = 0.02).Total protein (β = 0.004, [95%CI: 0.002, 0.007]), animal protein intake (β = 0.004, [95%CI: 0.001, 0.007]) and AP protein intake ratio (β = 0.034, [95%CI: 0.021, 0.047]) were positively associated with waist circumference. Higher AP protein ratio was related to higher fasting blood glucose (β = 0.023, [95%CI: 0.005, 0.041]). Conclusion: Our study suggests that considering a significant amount of plant protein as a part of total dietary protein has beneficial effects on cardiometabolic risk factors.

scholarly journals Faktor risiko gizi buruk pada balita di Kabupaten Donggala Provinsi Sulawesi Tengah

2016 ◽  
Vol 3 (1) ◽  
pp. 51
Author(s):  
Eka Prasetia Hati Baculu ◽  
M Juffrie ◽  
Siti Helmyati
Keyword(s):  
Infectious Disease ◽  
Risk Factors ◽  
Energy Intake ◽  
Protein Intake ◽  
Case Control ◽  
The Other ◽  
Severe Malnutrition ◽  
Chi Square ◽  
Children Under Five ◽  
Under Five

<p>ABSTRACT</p><p>Background: Severe malnutrition is a state of severe malnourished condition caused by low consumption of energy and protein in a long time. Severe malnutrition interferes the children growth and development, moreover malnourished children are vulnerable to get infectious diseases, even the death.</p><p>Objectives: To analyze the risk factors of severe malnutrition among children under five in Donggala, Central of Sulawesi Province.</p><p>Methods: This study used case-control (observational study). The study was conducted in District Dampelas Donggala on July to September 2014. The population was all children underfive selected by total sampling method. The samples were 64 children aged 0-59 months which separated into 2 groups,<br />case and control group.The independent variables were the level of energy intake of protein, parenting, and infectious diseases, while the dependent variable was the incidence of severe malnutrition among children under five. Data were obtained by direct interview using questionnaire and recall 24 hours to determine the level of energy and protein intake. The data collected were analyzed using univariate analysis (descriptive), bivariate (chi-square), and multivariate (multiple logistic regression).</p><p>Results: The result of this study based on the bivariate analysis presented that the level of energy intake (OR=9.86, 95% CI:3.49-27.89), infectious disease (OR=2.83, 95% CI:1.10-7.31), and as low birth weight external variables (OR=5.76, 95% CI:1.43-23.20) signifi cantly associated with the incidence of severe malnutrition. There were no significant association between the level of protein intake (OR=1.18, 95% CI:0.47-2.92) and parenting (OR=1.21, 95% CI:0.50-2.92) with the incidence of severe malnutrition. In the other hand, based on multivariate analysis by controlling the variable of low birth weight history, this study’s result presented that the level of energy intake had the strongest association with the risk of incidence of severe malnutrition compared to the other variables.</p><p>Conclusions: The level of energy intake and infectious disease were the risk factors for the incidence of severe malnutrition among children under five, while the level of protein intake and parenting were not.</p><p>KEYWORDS: children underfive, energy, infectious disease, parenting, protein, severe malnutrition</p><p>ABSTRAK</p><p>Latar belakang: Gizi buruk adalah keadaan kurang gizi tingkat berat yang disebabkan oleh rendahnya konsumsi energi dan protein dalam waktu cukup lama. Kekurangan gizi selain mengganggu pertumbuhan dan perkembangan, dapat pula mengakibatkan balita rentan terhadap penyakit infeksi bahkan dapat<br />menyebabkan kematian.</p><p>Tujuan: Untuk menganalisis faktor risiko kejadian gizi buruk pada balita di Kabupaten Donggala, Provinsi Sulawesi Tengah.</p><p>Metode: Jenis penelitian ini observasional dengan rancangan case-control. Penelitian dilakukan di Kecamatan Dampelas, Kabupaten Donggala pada bulan Juli sampai September 2014. Populasi adalah semua balita dan sampel ditentukan dengan metode total sampling. Balita usia 0–59 bulan yang berjumlah 64 dimasukkan pada masing-masing kelompok kasus dan kontrol. Variabel bebas yaitu tingkat asupan energi protein, pola asuh, dan penyakit infeksi sedangkan variabel terikatnya adalah kejadian gizi buruk pada balita. Data diperoleh dengan wawancara langsung menggunakan kuesioner dan recall 24 jam untuk mengetahui tingkat asupan energi dan protein. Data dianalisis dengan analisis univariat (deskriptif), bivariat (chi-square), dan multivariat (regresi logistik berganda).</p><p>Hasil: Hasil analisis bivariat menunjukkan bahwa tingkat asupan energi (OR=9,86, 95% CI:3,49-27,89), penyakit infeksi (OR=2,83, 95% CI:1,10-7,31), dan variabel luar BBLR (OR=5,76, 95% CI:1,43-23,20) berhubungan signifikan dengan gizi buruk. Tidak ada hubungan yang signifikan antara tingkat asupan protein (OR=1,18, 95%CI:0,47-2,92) dan pola asuh (OR=1,21, 95%CI:0,50-2,92) dengan gizi buruk. Hasil analisis multivariat dengan mengendalikan riwayat BBLR menunjukkan bahwa tingkat asupan energi memiliki hubungan kuat dengan risiko kejadian gizi buruk dibandingkan variabel lainnya.</p><p>Kesimpulan: Tingkat asupan energi dan penyakit infeksi merupakan faktor risiko kejadian gizi buruk pada<br />balita, sedangkan tingkat asupan protein dan pola asuh bukan merupakan faktor risiko.</p><p>KATA KUNCI: balita, energi, penyakit infeksi, pola asuh, protein, gizi buruk, gizi</p>

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