Monday, June 3, 2019
Effectiveness of Reduced Carbohydrate Intake
Effectiveness of Reduced Carbohydrate IntakeIntroduction/ background knowledgeThe ketogenic food proposes a reduction of clams uptake, replaced with high copious. Studies convey that low gelt dietings promote a higher degree of on the spur of the moment term fish spill than conventional low fat diets (Manninen, 2004). More all oer, reductions in fasting blood lipids and insulin concentrations be greater in low carbohydrate diets (Manninen, 2004). Fundamentally, the reduction in carbohydrates renders the frame in an efficient metabolic state of dietetic ketosis whereby fat is turned into ketone bodies at bottom the liver and burned for muscle to utilize in the extra-hepatic tissues. Thereby, short term restriction results in a signifi foundationt decrease in fat mint candy and a related increase in lean frame mass as fat stores become a primary source of energy (Manninen, 2004). However, low carbohydrate diets may significantly increase fat and cholesterin volume, cor respondent with an increase in low density lipoprotein (beta-lipoprotein) cholesterol (Hu et al., 2012). Furthermore, reduction in an accustomed fibre intake may result in constipation, or weary induced by a carbohydrate deficiency from altered hormonal states and electrolyte imbalances (Bilsborough Crowe, 2003). Additionally, complications relative to kidney function may arise (eg. osteoporosis and kidney stones) and can be conjugate to the vast term restriction of carbohydrates (Bilsborough Crowe, 2003).Ketosis is a common metabolic adaptation in low carbohydrate diets. Glycogen stores are utilized to join forces energy demands of the frame when dietary carbohydrates are limited the reserves are exhausted within 24 to 48 hours of carbohydrate restriction (Bilsborough Crowe, 2003). However, glycogen is curb to piddle in a proportion of 13g (Bilsborough Crowe, 2003). Therefore, the subsequent 1-2kg fat reduction can be attributed to diuresis as opposed to burning adipose tree trunk fat stores. Consequently, the decrease is not a true indicator of tip loss as glycogen and pissing stores will be replenished (ie. rebound water saddle will be gained) once the diet is terminated due to an influx of carbohydrates, which retain water in the muscles glycogen stores (Bilsborough Crowe, 2003). As depicted in gnawer studies, Caton et al. (2009) discerned that the termination of a low carbohydrate diet resulted in weight down regain once the habitual diet resumed. Notwithstanding, the diuretic effect is reticent to the first calendar week of the low carbohydrate diet. Subsequent weight loss is entirely due to the ruminant adaption to energy expenditure and balance. Larosa, Fry, Muesing, Rosing (1980) observed a 7.7 kg loss in participants on the Atkins diet in 8 weeks 1.8 kg lost per week in the initial two week period, and 0.7 kg per week thereafter. Westman et al. (2002) remarked alike results with a range of 0 to 18.6 kg in ashes weight reduction o ver 24 weeks ( contour 1). Once glycogen reserves are exhausted, fat oxidation is increased to satisfy the energy demands unfulfilled by gluconeogenesis and triglyceride breakdown as lean mass is inefficiently broken down to glucose and energy deficits proceed uncovered. A directly proportional increase in muscle fatigue and catabolism (conversion of protein to glucose via gluconeogenesis) transpires when muscle glycogen is depleted, however an important substrate within ATP production (Bilsborough Crowe, 2003).Liberation of fatty acidulouss into the blood are oxidized by the liver for energy expenditure to form acetoacetate and further converted to -Hydroxybutyric acid (ie. ketone bodies) from acetyl CoA, filtered by the kidneys, inducing an increase in renal loss of sodium and consequent water loss. Furthermore, dehydration is common due to the increased water loss associated with ketotic-induced diuresis, onsetting early fatigue in contracting skeletal muscle (Bilsborough Crow e, 2003).The long term restriction of carbohydrates pose an increased risk of cardiovascular disease. LDL cholesterol is an eminent factor in atherogenesis, directly correlated with blood -Hydroxybutyrate (Johnston et al., 2006). Lin Borer (2016) denote a 30% decrease within physiological insulin fortress 24 hours after three low carbohydrate meals, which increase cardiovascular disease mortality. Moreover, metabolic costs may be associated with the utilization of fatty acids as intermediates of the citric acid cycle imperative for energy expenditure are depleted. Russell Taegtmeyer (1991) isolated rodent hearts utilizing acetoacetate as an energy source. The researchers observed a 50% reduction in the contractile ability of the heart within an hour a contractile failure reversed by pyruvate carboxylation.Indeed, there are benefits and detriments of the dietary regime. However, evidence from clinical and animals trials to achieve a loss in weight and adaptive metabolic risk facto rs is preliminary.Review of papersResearch concerning the strong suit of trim back carbohydrate intake is limited by small sample sizes and short treatment periods. Westman, Yancy, Edman, Tomlin, Perkins (2002) investigated the effects of a low carbohydrate dietary regime upon body weight and variable metabolic factors in a 6 month trial. 41 overweight (26-33 kg/m2) all the same otherwise healthy volunteers ages 18-65 were appoint to a low carbohydrate diet of A pixilated decrease in body weight of 9.0 +/- 5.3 kg among 39 volunteers was observed (Figure 1). Weight loss correlated with adherence of the dietary regime and ketonuria (PStatistically significant alternates were obtained for various metabolic parameters relative to changes in blood serum levels (Table 1). Beneficial effects upon serum lipid levels are indicated 29 volunteers experienced a net reduction in LDL cholesterol over 6 months (Table 2). Moreover, 37 volunteers had an increase in HDL cholesterol (Westman e t al., 2002).However, there was no objective notice of physical activity, which is potentially confounding. Moreover, adherence is the largest determinant of a regimes effectiveness. Although group meetings are an objective measure of behaviour adherence, the conceptualization of dietary adherence is disparate, propagated by psychological and socioeconomic determinants. Nonetheless, multiple indicators of adherence to the assigned dietary regime was employed in an sweat to negate the aforementioned issue. Furthermore, all 41 participants developed ketonuria during the trial, strongly correlated with self-reported adherence to the dietary regime. However, it is indispensable to obtain baseline data of macronutrient intake relative to the regime in question to ensure no dietary deficiencies confound the results. Additionally, past dietary intake is principal to document when controlling for baseline, yet macronutrient intake prior to the trial was not assessed.Often, blood/plasma -H ydroxybutyrate levels are the only index of ketosis as exhibited in the study of Westman et al. (2002). However, urinary ketones sick represent the concentrations of blood/plasma and yield less informative results (Table 2). Acetoacetate and acetone are rarely measured and should be investigated in a low carbohydrate dietary regime direct manipulation is necessary as the correlational approach cannot provide casual evidence of ketones.Moreover, dietary regime data can be subject to concerns of memory and recall. Additionally, volunteers who completed the dietary records may be more likely to report adhering to the regime. However, macronutrient data was to be recorded within 24 hours of consumption. Also, the usage of skinfold calipers to adjudicate fat mass poses another limitation. Clasey et al. (1999) discerned that anthropometric estimation yield large mean differences and appreciable inter-individual variability.Volunteers were not recruited according to strict comprehensive criteria, therefore the group is particularly inhomogeneous. However, as the participants were healthy, extrapolating the results to individuals with metabolic diseases should be with discretion. Moreover, no substantial losses to follow-up were incurred as a completion rate of 80% was noted. However, the disadvantageous effects regarding volunteers who did not cohere to the program cannot be eradicated structured programs are more effective at weight loss than self benefactor approaches (Heska et al., 2003).Nevertheless, the findings of Westman et al. (2002) emphasize the imminent need for large scale trials on the compound interplay between low carbohydrate diets and long term aftereffects.The mechanisms and contributing factors underlying the effectiveness of low carbohydrate high fat diets (LC-HFD) remain uncovered. Caton, Yinglong, Burget, Spangler, Tschp, Bidlingmaier (2009) examined the effects of a LC-HFD upon body composition and metabolic parameters (eg. growth hormone, IGF-I) in 48 male Wistar rats over a 32 day period.Two studies were conducted. Study one constituted the maintenance of standard laboratory chow (CH) or LC-HFD in adolescent or mature rodents for 16 years prior to a switch in dietary regime (Caton et al., 2009). However, only mature rodents were maintained on the diets for 16 years in study two in an travail to illuminate the culmination of LC-HFD upon fat explode mass. All rats were pair-fed to ensure the observations would be due to the macronutrient composition of the diet. metabolous assessments (eg. energy expenditure) were made at baseline and 16 days post-exposure to the first and second diet with indirect calorimetry (Caton et al., 2009). ANOVA was performed to assess feeding efficiency and match body weight changes relative to age and diet. Moreover, an alpha value of 0.05 was rendered in t-test analysis to examine the disparity between body weight and fat pad mass, with Bonferroni to discern any significant differenc es between the groups (Caton et al., 2009).LC-HFD rodents exhibited a significant reduction in body weight irrespective of age and subsequent diet change (Figure 2). Nonetheless, ingesting CH after initial LC-HFD resulted in weight regain in comparison to CH maintained rodents (Caton et al., 2009). Moreover, mature rats maintained on LC-HFD gained remarkably less body weight than CH (CH 27 +/- 1g LC-HFD 2 +/- 3g P LC-HFD may soak up implications for the alteration of body composition as hormones (eg. GH, IGF-I) known to increase lean body mass modest within the study reflective in decreased muscle mass. Declines in IGF-I, lean body mass, and glycogen availability may contribute to the increased fatigue experienced in ketogenic diets. Subsequently, the weight loss procured is not effortlessly sustainable due to an energy imbalance propagating an enhanced drive to regain lost mass.However, rodent studies are not entirely translatable to human subjects, and moreover, not appropriatel y designed. Perigonadal fat pads have a large surface area and are quickly accessible. Consequently, they are frequently utilized in research, as exhibited in the study of Caton et al. (2009). However, humans do not harbour a fat depot equal to the fat pads and thereby cannot be truly deemed as visceral. Furthermore, Bazzano et al. (2014) measured body weight and a myriad of biomarkers in 148 participants on variable carbohydrate diets over a year. The researchers concluded that a low carbohydrate diet was more effective for weight loss and reduced cardiovascular risks. Whereas Vogt (2014) published a contradictory paper a low carbohydrate diet in maternal rodents alters offspring metabolism whereby risk for obesity is pronounced. There are indeed neuroanatomical similarities between humans and rodents which coincide with food intake and energy homeostasis. However, the study uncovered that the diet damaged the hypothalamus, pivotal for appetite and energy management. No attempt w as made to elucidate the contradiction between the reaction of a rodent versus a human, which is misleading. Additionally, rodent strain can determine the susceptibility to diet-induced metabolic changes. If a more resistant strain is utilized, effects may go unnoticed.Moreover, trials disregard elements of rodent diets (standard laboratory chow high carbohydrate low fat diet) that have direct metabolic outcomes, such as soy, which has effects akin to estrogen relative to activity, fat storage, and macronutrient and water retention. In contrast, low carbohydrate high fat diets often have sugar as a constituent associated with weight gain and insulin resistance, ultimately selecting for fat sensitivity. It is notable that a sufficient amount of protein is needful to maintain lean body mass, yet the diet in the study of Caton et al. (2009) constituted of low protein. Dietary control in rodents is possible to a degree unfeasible in humans. Metabolic attributes of the human condition cannot be entirely recapitulated in a single animal model.Summary opinion/ConclusionA multitude of clinical trials that concern low carbohydrate diets have small sample sizes and insufficient statistical power to detect the incremental changes that occur in metabolic risk factors (Hu et al., 2012). Such factors are important determinants of cardiovascular morbidity and mortality thereby, it is ineffective to derive conclusions upon the effects of low carbohydrates upon overall health long term. In contrast to the results inferring an increase in cardiovascular risk, Hu et al. propose low carbohydrate diets as an alternative approach for fat mass reduction without impairment metabolic risk factors. Moreover, Bueno, de Melo, de Oliveria, da Rocha Ataide (2013) denote a doubled average increase in HDL compared to low fat dieters, conferring cardiovascular benefits with an improved cholesterol profile comparable to Westman et al. (2002) noting an increase in HDL. Nonetheless, six wee ks is a short duration of time, and the research conveys that the dietary regime is slightly advantageous in weight loss for up to six months (Fields, Ruddy, Wallace, Shah, Millstine, 2016). Potential metabolic consequences can be alleviated with increased water, fibre, and calcium intake.ReferencesBazzano, L. A., Hu, T., Reynolds, K., Yao, L., Bunol, C., Liu, Y., He, J. (2014). Effects of low-carbohydrate and low-fat diets A randomize trial. annals of internal medicine, 161(5), 309-318.Bilsborough, S. A., Crowe, T. (2003). Low carbohydrate diets What are the potential short and longterm health implications? Asia Pacific ledger of Clinical Nutrition, 12(4), 397-404.Bueno, N., de Melo, I., de Oliveira, S., da Rocha Ataide, T. (2013). Very-low-carbohydrate ketogenicdiet v. low-fat diet for long-term weight loss A meta-analysis of randomised controlled trials.British Journal Of Nutrition, 110(07), 1178-1187. http//dx.doi.org/10.1017/s0007114513000548Caton, S. J., Yinglong, B., Burget, L., Spangler, L. J., Tschp, M. H., Bidlingmaier, M. (2009). Lowcarbohydrate high fat diets Regulation of energy balance and body weight regain in rats.Obesity, 17(2), 283-289.Clasey, J. L., Kanaley, J. A., Wideman, L., Heymsfield, S. B., Teates, C. D., Gutgesell, M. E., Weltman, A. (1999). Validity of methods of body composition assessment in young and oldermen and women. Journal of Applied Physiology, 86(5), 1728-1738.Fields, H., Ruddy, B., Wallace, M., Shah, A., Millstine, D. (2016). Are low-carbohydrate diets rock-steadyand effective? The Journal Of The American Osteopathic Association, 116(12), 788.http//dx.doi.org/10.7556/jaoa.2016.154Heshka, S., Anderson, J., Atkinson, R., Greenway, F., Hill, J., Phinney, S. et al. (2003). Weight losswith self-help compared with a structured commercial program. JAMA, 289(14), 1792.http//dx.doi.org/10.1001/jama.289.14.1792Hu, T., Mills, K., Yao, L., Demanelis, K., Eloustaz, M., Yancy, W. et al. (2012). Effects of low-carbohydrate diets versus low-fat diets on metabolic risk factors A meta-analysis ofrandomized controlled clinical trials. American Journal Of Epidemiology, 176(suppl 7), S44-S54. http//dx.doi.org/10.1093/aje/kws264Johnston, C. S., Tjonn, S. L., Swan, P. D., White, A., Hutchins, H., Sears, B. (2006). Ketogenic low-carbohydrate diets have no metabolic advantage over nonketogenic low-carbohydrate diets. TheAmerican Journal of Clinical Nutrition, 83(5), 1055-1061.Larosa, J. C., Fry, A. G., Muesing, R., Rosing, D. R. (1980). Effects of high-protein, low-carbohydrate diet on plasma lipoproteins and body weight. Journal of the American DieteticAssociation, 77(3), 264-270.Lin, P. J., Borer, K. T. (2016). Third exposure to a reduced carbohydrate meal lowers eveningpostprandial insulin and GIP responses and HOMA-IR estimate of insulin resistance. PloSone, 11(10), e0165378.Manninen, A. (2004). Metabolic effects of the very-low-carbohydrate diets Misunderstoodvillains of human metabolism. Journal Of The International Society Of Sports Nutrition,1(2), 7. http//dx.doi.org/10.1186/1550-2783-1-2-7Russell 3rd, R. R., Taegtmeyer, H. (1991). Pyruvate carboxylation prevents the decline in contractilefunction of rat hearts oxidizing acetoacetate. American Journal of Physiology-Heart andCirculatory Physiology, 261(6), H1756-H1762.Vogt, M. C., Paeger, L., Hess, S., Steculorum, S. M., Awazawa, M., Hampel, B., Predel, R. (2014).Neonatal insulin action impairs hypothalamic neurocircuit formation in response to maternalhigh-fat feeding. Cell, 156(3), 495-509.Westman, E. C., Yancy, W. S., Edman, J. S., Tomlin, K. F., Perkins, C. E. (2002). Effect of 6-monthadherence to a very low carbohydrate diet program. The American Journal of Medicine, 113(1),30-36.Table 1Effect of a low carbohydrate dietary regime upon metabolic parametersTable 2Effect of a low carbohydrate dietary regime upon serum lipid level and 24-hour urinary excretionTable 3End-point hormone, glucose, and albumin analysis (study on e mean +/- s.e.m.) in adolescent and mature rodents maintained on CH or LC-HFD for 16 daysTable 4Energy expenditure (kcal/24 h) normalized for body mass at baseline 16 days post-maintenance of CH and LC-HFDFigure 1. The effect of a low carbohydrate diet with additional nutritional supplementation upon body weight (n=41). Fat mass was estimated from skinfold thickness measurement. Fat mass decreased from 36.9 +/- 6.2 kg to 3.0 +/- 5.7 kg. Fat-free mass = body weight fat mass. The asterisk indicates PFigure 2. The development in body weight (g) of adolescent and mature rodents initially maintained on standard laboratory chow (CH) or low carbohydrate high fat diet (LC-HFD) for 16 days prior to a switch in dietary regime (denoted by an arrow) for another 16 days (means +/- s.e.m.). LC-HFD rodents exhibited a significant reduction in body weight compared to CH irrespective of age and subsequent diet change.
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