scholarly journals Associating Intake Proportion of Carbohydrate, Fat, and Protein with All-Cause Mortality in Korean Adults

Nutrients ◽  
2020 ◽  
Vol 12 (10) ◽  
pp. 3208
Author(s):  
Yu-Jin Kwon ◽  
Hye Sun Lee ◽  
Ju-Young Park ◽  
Ji-Won Lee
Keyword(s):  
Life Expectancy ◽  
Protein Intake ◽  
Dietary Guidelines ◽  
Carbohydrate Intake ◽  
Minimal Risk ◽  
Fat Intake ◽  
Nutrition Research ◽  
Hazard Ratios ◽  
Prolong Life Expectancy ◽  
All Cause Mortality

Determining the ideal ratio of macronutrients for increasing life expectancy remains a high priority in nutrition research. We aim to investigate the association between carbohydrate, fat, and protein intake and all-cause mortality in Koreans. This cohort study investigated 42,192 participants from the Korea National Health and Nutrition Examination Survey (KNHANES) linked with causes of death data (2007–2015). Hazard ratios (HRs) were calculated using the multivariable Cox proportional regression model after adjusting for confounders. We documented 2110 deaths during the follow-up period. Time to exceed 1% of the all-cause mortality rate was longest in participants with 50–60% carbohydrate, 30–40% fat, and 20–30% protein intake. Adjusted hazard ratio (HR) with 95% confidence intervals (CIs) was 1.313 (1.031–1.672, p = 0.0272) for <50% carbohydrate intake, 1.322 (1.116–1.567, p = 0.0013) for ≥60% carbohydrate intake, 1.439 (1.018–2.035, p = 0.0394) for <30% fat intake, and 3.255 (1.767–5.997, p = 0.0002) for ≥40% fat intake. There was no significant association between protein intake proportion and all-cause mortality. We found a U-shaped association between all-cause mortality and carbohydrate intake as well as fat intake, with minimal risk observed at 50–60% carbohydrate and 30–40% fat intake. Our findings suggest current Korean dietary guidelines should be revised to prolong life expectancy.

scholarly journals What are the major correlates of macronutrient selection in Western populations?

1999 ◽  
Vol 58 (4) ◽  
pp. 755-763 ◽  
Author(s):  
John M. de Castro
Keyword(s):  
Negative Feedback ◽  
Protein Intake ◽  
Negative Impact ◽  
Eating Behaviour ◽  
Stomach Contents ◽  
Time Of Day ◽  
Carbohydrate Intake ◽  
Lunar Phase ◽  
Macronutrient Intake ◽  
Fat Intake

In order to better understand the factors that may influence and regulate the intake of the macronutrients carbohydrate, fat and protein a 7 d diet diary technique was employed to study eating behaviour in the natural environment of free-living human subjects. In general, factors that promote energy intake tend to promote fat and protein intake to a greater extent than carbohydrate intake. This increased intake occurs as the result of: environmental factors such as social facilitation and the time of day, week or lunar phase; subjective factors such as hunger and elation; individual difference factors such as obesity, restraint and ageing. There are indications that the intake of macronutrients is regulated by negative feedback systems. In the short term, the amount of protein remaining in the stomach at the onset of a meal appears to have a restraining effect on intake, especially protein intake. Over several days, macronutrient intake appears to be affected by a nutrient-specific delayed negative feedback. Protein intake during 1 d is negatively associated with protein intake 2 and 3 d later, while carbohydrate intake is negatively related to later carbohydrate intake, and fat intake to later fat intake; both peaking after a 2 d delay. Studies of the intakes of twins suggested that many aspects of the control of macronutrient intake are influenced by inheritance; these factors include the overall amounts ingested, the before-meal stomach contents and the responsiveness of the subject to the negative impact of the stomach contents. The results indicate that macronutrient intakes are regulated by multiple persistent processes that are to a large extent inherited.

scholarly journals Overview of Macro Nutrient Intake and Nutritional Status of Students at the Putri Hidayatullah Islamic Boarding School, Ternate City

2021 ◽  
Vol 9 (12) ◽  
pp. 13-21
Author(s):  
Hisdawati Abubakar ◽  
Yohannes Willi Helm ◽  
Nofiandri ◽  
Fadila
Keyword(s):  
Nutritional Status ◽  
Protein Intake ◽  
Nutrient Intake ◽  
Sampling Technique ◽  
Boarding School ◽  
Carbohydrate Intake ◽  
Physical Growth ◽  
Vulnerable Groups ◽  
Second Phase ◽  
Fat Intake

Adolescents are one of the nutritionally vulnerable groups. At this time, adolescents enter the second phase of rapid growth and then physical growth declines as young adults enter. Problems that arise in adolescents are undernutrition and overnutrition. One that is related to nutritional status is nutrient intake which is very influential on a person's nutritional status. Nutrient intake is influenced by eating habits and eating patterns of adolescents themselves. The purpose of this study was to determine the description of macronutrient intake and nutritional status at the Putri Hidayatullah Islamic Boarding School, Ternate City. The type of research used is descriptive research. The sampling technique used total sampling with a total sample of 29 people. The tools used were Microtoise, Bathroom Scale and form food recall 24. The results showed that the intake of macronutrients, as many as 28 people (96.6%) with less energy intake, 29 people (100.0%) with less protein intake, 16 people (55.2%) with more fat intake and 26 people (89.7%) with less carbohydrate intake. There were 25 people (86.2%) with normal nutritional status. It was concluded that from the results of the respondents had less protein intake and most had less energy and carbohydrate intake. On the other hand, most of these teenagers have good fat intake with normal nutritional status.

A Comparison of the Nutrient Intakes of Macronutrient-Based Dieting and Strict Dieting Bodybuilders

2018 ◽  
Vol 28 (5) ◽  
pp. 502-508 ◽  
Author(s):  
Ahmed Ismaeel ◽  
Suzy Weems ◽  
Darryn S. Willoughby
Keyword(s):  
Vitamin E ◽  
Vitamin C ◽  
Protein Intake ◽  
Saturated Fat ◽  
Carbohydrate Intake ◽  
Fat Intake ◽  
Nutrient Intakes ◽  
Food Frequency ◽  
Added Sugars ◽  
Descriptive Assessment

The purpose of this study was to provide a descriptive assessment of the nutritional habits of competitive bodybuilders and compare the nutrient intakes of macronutrient-based dieting and strict dieting individuals. Data from 41 subjects (30 males and 11 females) were used in analyses. Participants completed a comprehensive food frequency questionnaire, and diets were analyzed using a computer system. Males consumed an average of 2,577.2 kcal (SD = 955.1), with an average fat intake of 83.6 g (SD = 41.3), an average carbohydrate intake of 323.3 g (SD = 105.2), and an average protein intake of 163.4 g (SD = 70.4). There were no significant differences between male macronutrient-based dieting and strict dieting bodybuilders when mean intakes were compared for all nutrients, including the macronutrients, selected vitamins and minerals, dietary fiber, added sugars, and saturated fat. Females in this study consumed an average of 1,794 kcal (SD = 453.1), with an average fat intake of 58.3 g (SD = 23.1), a mean carbohydrate intake of 217.8 g (SD = 85.9), and an average protein intake of 103.8 g (SD = 35.7). For females, macronutrient-based dieters consumed significantly greater amounts of several nutrients, including protein, vitamin E, vitamin K, and vitamin C. Over half of individuals from all groups consumed less than the recommended amounts of several of the micronutrients. Based on this information, it is recommended that competitive bodybuilders should be advised to take their micronutrition into greater consideration.

scholarly journals Association of healthy lifestyle score with all-cause mortality and life expectancy: a city-wide prospective cohort study of cancer survivors

BMC Medicine ◽  
2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Ce Sun ◽  
Ke Li ◽  
Huan Xu ◽  
Xiangjun Wang ◽  
Pengzhe Qin ◽  
...  
Keyword(s):  
Cohort Study ◽  
Life Expectancy ◽  
Cancer Survivors ◽  
Prospective Cohort Study ◽  
Prospective Cohort ◽  
Healthy Lifestyle ◽  
Education And Health ◽  
Hazard Ratios ◽  
All Cause Mortality

Abstract Background Adherence to a healthy lifestyle could reduce the cancer mortality in the western population. We conducted a city-wide prospective study in China investigating the association of a healthy lifestyle score with all-cause mortality and the life expectancy in cancer survivors. Methods This prospective cohort study included 46,120 surviving patients who were firstly diagnosed with cancer in Guangzhou. Five low-risk lifestyle factors including never smoking, never alcohol use, regular physical activity (≥ 2 h/week), sufficient sleep (≥ 6 h/day), and normal or high BMI (≥ 18.5 kg/m2) were assessed and a lifestyle score (0–5, a higher score indicates healthier lifestyle) was generated. Hazard ratios (HRs) of all-cause mortality and the life expectancy by levels of the lifestyle scores were estimated. Results Of 46,120 cancer survivors registered from 2010 to 2017, during an average follow-up of 4.3 years (200,285 person-years), 15,209 deaths were recorded. Adjusted HRs for mortality in cancer survivors with lifestyle score of 0–2, versus 5, were 2.59 (95% confidence interval (CI): 2.03–3.30) in women, 1.91 (95%CI 1.77–2.05) in men, 2.28 (95%CI 2.03–2.55) in those aged <65 years, and 1.90 (95%CI 1.75, 2.05) in those aged ≥ 65 years. Life expectancy at age 55 for those with a score of 0–2 and 5 was 53.4 and 57.1 months, respectively. We also found that cancer survivors with healthy lifestyle scores of 5 showed 59.9 months of life expectancy on average, which was longer than those with a score of 0–2. Conclusion Adopting a healthy lifestyle was associated with a substantially lower risk of all-cause mortality and longer life expectancy in cancer survivors. Our findings should be useful for health education and health promotion in primary care and clinical practice.

Activation of hypothalamic serotonin receptors reduced intake of dietary fat and protein but not carbohydrate

1999 ◽  
Vol 277 (3) ◽  
pp. R802-R811 ◽  
Author(s):  
Brenda K. Smith ◽  
David A. York ◽  
George A. Bray
Keyword(s):  
Protein Intake ◽  
Carbohydrate Intake ◽  
Fat Intake ◽  
Carbohydrate Consumption ◽  
Macronutrient Selection ◽  
Carbohydrate Feeding ◽  
Diet Preference ◽  
Dose Effects ◽  
Series Of Experiments ◽  
Serotonergic Drugs

Systemic treatment with dexfenfluramine (dF), fluoxetine, or serotonin (5-hydroxytryptamine, 5-HT) recently was shown to suppress fat and occasionally protein but not carbohydrate intake in rats when a macronutrient selection paradigm was employed. These reports contrast with the prevailing literature, which for the past decade has described a role for serotonin neurotransmission in the modification of dietary carbohydrate consumption. To test the hypothesis that the suppression of fat selection and/or consumption by systemic serotonin agonists involves stimulation of central 5-HT receptors, a series of experiments was performed in nondeprived rats. In experiment 1, third cerebroventricular (3V) infusion of the nonselective 5-HT antagonist metergoline prevented the reduction in fat but not carbohydrate feeding caused by systemic dF. Furthermore, 3V metergoline alone increased fat intake. In experiments 2 and 3, 3V infusion of 5-HT1B/2C receptor agonistsd-norfenfluramine (dNF) or quipazine inhibited fat intake exclusively. Next, the infusion ofdNF or 5-HT into the region of the paraventricular nucleus (PVN) reduced both fat and protein intake ( experiments 4 and 5). Finally, in experiment 6, when rats were grouped by baseline diet preference, 5-HT infused into the PVN led to a dose-related decrease in fat intake in both carbohydrate- and fat-preferring rats. In contrast, there were no dose effects of 5-HT on carbohydrate or protein intake in either preference group. However, in fat-preferring rats, the highest dose of 5-HT reduced intake of all three macronutrient diets. These results demonstrate a selective effect of exogenous serotonergic drugs in the hypothalamus to reduce fat rather than carbohydrate intake and suggest that higher baseline fat intake enhances responsivity to serotonergic drugs.

scholarly journals When, how much and what foods are eaten are related to total daily food intake

2009 ◽  
Vol 102 (8) ◽  
pp. 1228-1237 ◽  
Author(s):  
John M. de Castro
Keyword(s):  
Protein Intake ◽  
Daily Intake ◽  
Overweight And Obesity ◽  
Carbohydrate Intake ◽  
Fat Intake ◽  
Dietary Interventions ◽  
Breakfast Cereal ◽  
Total Intake ◽  
Different Types ◽  
Daily Intakes

Intake in the morning is associated with a reduction in the total intake for the day, while intake at night is associated with greater overall daily intake. These associations are macronutrient specific, with morning carbohydrate intake associated with reduced daily carbohydrate intake, morning fat intake associated with reduced daily fat intake and morning protein intake associated with reduced daily protein intake. Since different types of foods contain differing proportions of macronutrients, the present study investigated the associations of different types of foods ingested at various times of day with total daily and macronutrient intakes. The intakes of 388 male and 621 female free-living individuals reported in 7 d diet diaries were reanalysed. The intakes of twenty-four different types of foods and seven different drinks occurring during the morning (04.00–10.29 hours), afternoon (10.30–16.59 hours) and evening (17.00–02.00 hours) were identified and related to overall daily intakes. Dairy foods, ice cream, beef, other meats, potatoes, pastry, nuts, chips and snacks, condiments, alcohol and soda were significantly associated with higher total intake over the day, while fruit, soup, breakfast cereal, pasta, pizza, water, coffee/tea and diet soda were either not associated or were associated with lower overall intake. Dietary energy density appeared to mediate the associations between particular foods and beverages and overall energy intake. This suggests that eating low-density foods in the morning and avoiding high-density foods at night might aid in reducing overall intake and may be useful in dietary interventions for overweight and obesity.

scholarly journals Dietary intake of protein and fat of 12- to 36-month-old children in a Dutch Total Diet Study

2021 ◽  
Author(s):  
Annemieke Maria Pustjens ◽  
Jacqueline Jozefine Maria Castenmiller ◽  
Jan Dirk te Biesebeek ◽  
Polly Ester Boon
Keyword(s):  
The Netherlands ◽  
Protein Intake ◽  
Age Groups ◽  
Fat Intake ◽  
Total Diet Study ◽  
Consumption Data ◽  
Group 12 ◽  
Food Consumption Survey ◽  
Total Diet ◽  
Diet Study

Abstract Purpose This study attempted gaining insight into the intake of protein and fat of 12- to 36-month-old children in the Netherlands. Methods In 2017, a Total Diet Study (TDS) was carried out in the Netherlands including following three age groups: 12–17-, 18–23- and 24- to 36-month-old children. Protein and fat concentrations of 164 composite samples were analysed and combined with the consumption data from the Dutch National Food Consumption Survey 2012–2016 (DNFCS). Results Median protein intake of the 12- to 35-month-old Dutch children based on the TDS was 35 g/day with main contributions from the food subgroups “milk and milk-based beverages”, “beef” and “yoghurts and desserts”. Median fat intake was 34 g/day with main contributions from the food subgroups “margarines”, “cheeses” and “milk and milk-based beverages”. For the youngest age group (12- to 18-month-old children), (ready to drink) follow-on formula was one of the main contributors to the fat intake. Conclusion Compared to the EFSA reference values, protein intake of the Dutch 12- to 36-month-old children is high, whereas fat intake follows the reference intake. A TDS is a suitable instrument to estimate macronutrient intakes.

EXPRESS: Comparative effectiveness and safety of edoxaban vs warfarin in patients with atrial fibrillation: A nationwide cohort study

2021 ◽  
pp. 174749302110294
Author(s):  
Peter Nielsen ◽  
Mette Soegaard ◽  
Martin Jensen ◽  
Anne G Ording ◽  
Gregory Lip
Keyword(s):  
Atrial Fibrillation ◽  
Confidence Intervals ◽  
Stroke Prevention ◽  
Clinical Care ◽  
Bleeding Events ◽  
Inverse Probability ◽  
Standard Clinical Practice ◽  
Hazard Ratios ◽  
All Cause Mortality ◽  
Event Rates

Background and purpose: The effectiveness and safety of edoxaban 60 mg and 30 mg for stroke prevention compared with warfarin in patients with atrial fibrillation (AF) has not been well-described in a nationwide cohort of Caucasian patients treated in standard clinical practice. Methods: We used Danish nationwide registries to identify patients with AF during June 2016 and November 2018 who were treated with edoxaban or warfarin and computed rates per 100 person-years of thromboembolic, all-cause mortality, and bleeding events using an inverse probability of treatment weighting approach to account for baseline confounding. We used weighted pooled logistic regression to compute hazard ratios (HRs) with 95% confidence intervals (CIs) comparing events between edoxaban 60 mg and warfarin users; edoxaban 30 mg was not included in formal comparisons. Results: We identified 6451 AF patients, mean age was 72 years and 40% were females. A total of 1772 patients were treated with edoxaban 60 mg, 537 with edoxaban 30 mg, and 4142 with warfarin. The median CHA2DS2-VASc score was similar between warfarin and edoxaban 60 mg with a score of 3 (interquartile range [IQR] 2-4). In the inverse probability of treatment-weighted pseudo-population, the thromboembolic event rate for edoxaban 60 mg was 0.95 and 1.0 for warfarin, corresponding weighted HR of 1.00 (95% confidence intervals [CI] 0.59, 1.71). Edoxaban 60 mg users were associated with lower rates of all-cause mortality (3.93) compared to warfarin (6.04), with a HR of 0.64 (95% CI 0.47 to 0.88). The event rates for bleeding were 3.36 and 3.14, respectively; HR 1.09 (95% CI 0.77, 1.57) Conclusion: Edoxaban 60 mg is a safe and effective treatment compared with warfarin for stroke prevention in routine clinical care for white European patients with AF, with non-significantly different risks for stroke and clinically relevant bleeding, but lower all-cause mortality. 

scholarly journals Prediction of all-cause mortality from 24 month trajectories in patient-reported psychological, clinical and quality of life outcomes in uveal melanoma patients

2021 ◽  
Author(s):  
Stephen L. Brown ◽  
Peter L. Fisher ◽  
Laura Hope-Stone ◽  
Heinrich Heimann ◽  
Rumana Hussain ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Life Expectancy ◽  
Uveal Melanoma ◽  
Cox Regression ◽  
Multivariate Analyses ◽  
Tumor Diameter ◽  
Control Variables ◽  
Patient Reported ◽  
All Cause Mortality

AbstractA number of patient-reported outcomes (PROs) predict increased mortality after primary cancer treatment. Studies, though, are sometimes affected by methodological limitations. They often use control variables that poorly predict life expectancy, examine only one or two PROs thus not controlling potential confounding by unmeasured PROs, and observe PROs at only a single point in time. To predict all-cause mortality, this study used control variables affording good estimates of life expectancy, conducted multivariate analyses of multiple PROs to identify independent predictors, and monitored PROs two years after diagnosis. We recruited a consecutive sample of 824 patients with uveal melanoma between April 2008 and December 2014. PROs were variables shown to predict mortality in previous studies; anxiety, depression, visual and ocular symptoms, visual function impairment, worry about cancer recurrence, and physical, emotional, social and functional quality of life (QoL), measured 6, 12 and 24 months after diagnosis. We conducted Cox regression analyses with a census date of December 2018. Covariates were age, gender, marital and employment status, self-reported co-morbidities, tumor diameter and thickness, treatment modality and chromosome 3 mutation status, the latter a genetic mutation strongly associated with mortality. Single predictor analyses (with covariates), showed 6-month depression and poorer functional QoL predicting mortality, as did 6–12 month increases in anxiety and 6–12 month decreases in physical and functional QoL. Multivariate analyses using all PROs showed independent prediction by 6-month depression and decreasing QoL over 6–12 months and 12–24 months. Elevated depression scores six months post-diagnosis constituted an increased mortality risk. Early intervention for depressive symptoms may reduce mortality.

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