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    Consists of 5 indian people: Oneidas, Onondagas, Cayugas, and Senecas. Jan 11, Secretary of treasury Had faith in the common citizen and sided with the interests of upper-class men founder of "Hamiltons Economic Plan" Wanted a strong, central government, commerece, and industry He was a federalist.

    Nov 15, State governments were supreme somewhat , while the national government was supreme in other matters. They could also borrow money, set standards for coins, weights, and measurements; establish a postal service, and deal with Native Americans.

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    Happened during the Presidency of Andrew Jackson. Mar 1, Apr 6, Aug 8, Written by Democrat David WIlmont Meant that California, Utah, and New Mexico would be closed to slavery forever.

    Association between nutritional index and mortality across levels of frailty. FI, frailty index; NI, nutritional index.

    All analyses were adjusted for age, sex, race, educational level, marital status, employment status, smoking, and study cohort except for energy and energy per weight which were not adjusted for energy intake.

    Combined effect of frailty and nutrition on mortality. All analyses were adjusted for age, sex, race, educational level, marital status, employment status, smoking, and study cohort.

    This observational study aimed to improve our understanding of the relationship between frailty and nutrition. As expected, we found that the two are related.

    Nevertheless, fewer than half were individually associated with higher mortality risk across frailty levels and their impact differed across levels of frailty objective 2.

    Only low serum vitamin D significantly increased the mortality risk across all levels of frailty. Even so, when we combined the nutrition-related parameters, including those not significantly associated with mortality, the resulting NI strongly predicted mortality risk, especially among those with higher FI scores objective 3.

    In short, overall, the results show that frailty and nutrition are related, and for the most part, unless people are in good health, poor nutritional status increases mortality in a dose-dependent fashion, independent of age, sex, marital status, and education.

    Several features of these results require additional comment. Regarding the individual items, vitamin D plays an important role in both bone metabolism and non-bony tissue function including skeletal muscles which relate with function in elderly people [ 58 ].

    Previous observational studies [ 59 , 60 ] including one using the NHANES III data [ 61 ] showed that serum vitamin D levels were correlated with frailty and all-cause mortality in older adults.

    Moreover, a meta-analysis of RCTs [ 62 ] reported the benefit of daily vitamin D supplementation on muscle strength and balance in older people.

    Concerning cognitive function, severe vitamin D deficiency was also correlated with visual memory decline [ 63 ].

    The current study confirmed the association between low serum vitamin D levels and both frailty levels and mortality risk across levels of frailty, not only in older people but also in younger people.

    According to World Health Organization WHO , the normal range of weight in healthy adults is defined by body mass index BMI or Quetelet index between Even so, human physiology and mortality risk factors change with ageing.

    BMI alone may not be a good indicator of adiposity in this population and this has been widely demonstrated based on the obesity paradox seen in the older people [ 66 , 67 ].

    The present study showed that obesity was associated with higher frailty but had no relationship with mortality.

    It is possible that body composition and weight change may be better predictors in older people than BMI. Moreover, low triceps skinfold in people with 0.

    On the subject of phytochemicals, previous studies [ 68 , 69 ] showed that low serum carotenoids levels were associated with higher frailty. The relationship between the amount of dietary carotenoid intakes and their serum levels in older adults should be explored further.

    Recommending carotenoids-rich fruits and vegetables consumption could be the focus of dietary interventions to improve frailty status. This study illustrates the virtue of considering deficit accumulation as a means of providing context in age-related disorders.

    Deficit accumulation indices can quantify those packages of age-associated problems [ 71 ] and have been used by our group and others in a variety of contexts to quantify the cumulative impact of brain MRI changes [ 72 ], social vulnerability measures [ 73 ], laboratory measures [ 74 ], and ageing biomarkers [ 75 ].

    An NI, constructed using the deficit accumulation approach, was a stronger prediction of frailty and mortality risk than were single nutritional parameters.

    This study, similarly to previous studies [ 76 , 77 ], highlights that the accumulation of small deficits, even those that may not result in clinically detectable problems, corresponds to the ability of the organism to respond and recover from stressors [ 78 ].

    A recent report noted the benefit to considering 11 nutrition-related parameters in mortality prediction, but did not evaluate frailty [ 40 ].

    The findings from that work do not contradict our key clinical message: patient management should reflect not just nutritional parameters that cross an illness threshold, but the overall nutritional status.

    In addition, there appears to be some merit in broader modeling of the nutrition risk as part of age-related deficit accumulation [ 79 ]. For example, the doubling time of biomarker deficits appears to be longer than laboratory ones, which in turn are longer than clinical deficits [ 74 , 75 , 80 ], something which appears to reflect their relative connectivity as nodes in a network.

    How the various types of nutritional deficits fit in this spectrum is of interest, with an initial hypothesis that their variable relationships with mortality might reflect their connectivity or other network properties.

    Recent work suggests that information theory might help better analyse factors that influence the health trajectories of individuals [ 79 ], offering pragmatic new approaches to studying age-related disease [ 81 ].

    Here, participants with low energy consumption for their body weight were more likely to be frail. Lower than recommended calorie intake can cause malnutrition; high levels of frailty are common among malnourished people [ 8 ].

    Weight loss can be caused not only by loss of fat but also by loss of muscle and bony mass [ 83 ]. On the other hand, weight gain leads to more fat mass than muscle mass in sedentary young individuals.

    The fat accumulation itself is associated with many health deficits, especially the metabolic syndrome and metabolic-related diseases. Even so, how the metabolic syndrome and frailty interact in relation to mortality appears to change across the life course [ 84 ].

    The causes of frailty may be different at each age group. For example, younger people may accumulate deficits due to a chronic condition whereas older people may accumulate deficits even when few comorbidities are present [ 85 ].

    Similarly, nutritional problems are altered across the lifespan. For example, older people may require more protein and calcium intake than do younger people [ 45 , 86 ] whereas the requirement for iron typically declines after the menopause [ 52 ].

    Here, we recognized this by using cutoff points of normal intake according to the recommendation for each age and gender group.

    Even so, the effect of abnormal nutrition on frailty can be different in each age group and future interventional studies need to investigate this.

    We used publicly available data from NHANES, a large population-based study with a well-controlled and rigorous protocol. We analysed a huge number of nutrition-related parameters.

    However, our data must be interpreted with caution: a Due to the cross-sectional design, the causal relationship between frailty and nutrition cannot be examined and the duration of exposure to each parameter cannot be explored.

    The absence of longitudinal data also makes it difficult to discern age from period and cohort effects. Our data do however demonstrate that both frailty and nutritional deficiencies can be detected at all adult ages.

    Nutritional deficiencies, at least in the aggregate, can also be seen more commonly at higher ages and with frailty, and increase the lethality of frailty.

    Here, for similar levels of deficit accumulation, at all ages, impaired nutrition reduced survival in people whose FI score were higher than 0. This study revealed that most nutritional parameters were related with frailty, but the impact of individual parameters on mortality differed across levels of frailty.

    Only low vitamin D was associated with higher levels of frailty and higher risk for mortality across all levels of frailty.

    The combined effect of frailty and nutrition deficits had the most impact on mortality risk. Balanced nutritional interventions appear to be reasonable approaches to remediating frailty.

    Further studies are needed to examine the impact of nutritional interventional studies on frailty levels and to evaluate whether the number of nutritional deficits relates to other health outcomes such as hospitalization, institutionalization, and quality of life.

    The original article [1] contained an error whereby Table 5 within the Appendix is presented incorrectly. This error has now been corrected and Table 5 is presented appropriately.

    Lutz W, Sanderson W, Scherbov S. The coming acceleration of global population ageing. Ferrucci L, Giallauria F, Guralnik JM.

    Epidemiology of aging. Radiol Clin N Am. Yazdanyar A, Newman AB. The burden of cardiovascular disease in the elderly: morbidity, mortality, and costs.

    Clin Geriatr Med. Saad MA, Cardoso GP, Martins Wde A, Velarde LG, Cruz Filho RA. Prevalence of metabolic syndrome in elderly and agreement among four diagnostic criteria.

    Arq Bras Cardiol. Plassman BL, Langa KM, Fisher GG, Heeringa SG, Weir DR, Ofstedal MB, et al. Prevalence of dementia in the United States: the aging, demographics, and memory study.

    Gheno R, Cepparo JM, Rosca CE, Cotten A. Musculoskeletal disorders in the elderly. J Clin Imaging Sci. Hubbard RE, Theou O.

    Frailty: enhancing the known knowns. Age Ageing. Lorenzo-Lopez L, Maseda A, de Labra C, Regueiro-Folgueira L, Rodriguez-Villamil JL, Millan-Calenti JC.

    Nutritional determinants of frailty in older adults: a systematic review. BMC Geriatr. Muscedere J, Waters B, Varambally A, Bagshaw SM, Boyd JG, Maslove D, et al.

    The impact of frailty on intensive care unit outcomes: a systematic review and meta-analysis. Intensive Care Med. Walters K, Frost R, Kharicha K, Avgerinou C, Gardner B, Ricciardi F, et al.

    Home-based health promotion for older people with mild frailty: the HomeHealth intervention development and feasibility RCT.

    Health Technol Assess. Blodgett JM, Theou O, Howlett SE, Rockwood K. A frailty index from common clinical and laboratory tests predicts increased risk of death across the life course.

    Backman K, Joas E, Falk H, Mitnitski A, Rockwood K, Skoog I. Changes in the lethality of frailty over 30 years: evidence from two cohorts of year-olds in Gothenburg Sweden.

    J Gerontol A Biol Sci Med Sci. Mousa A, Savva GM, Mitnitski A, Rockwood K, Jagger C, Brayne C, et al.

    Is frailty a stable predictor of mortality across time? Evidence from the Cognitive Function and Ageing Studies.

    Constans T, Bacq Y, Brechot JF, Guilmot JL, Choutet P, Lamisse F. Protein-energy malnutrition in elderly medical patients.

    J Am Geriatr Soc. Kaiser MJ, Bauer JM, Ramsch C, Uter W, Guigoz Y, Cederholm T, et al. Frequency of malnutrition in older adults: a multinational perspective using the mini nutritional assessment.

    Kiesswetter E, Pohlhausen S, Uhlig K, Diekmann R, Lesser S, Heseker H, et al. Malnutrition is related to functional impairment in older adults receiving home care.

    J Nutr Health Aging. Rasheed S, Woods RT. Malnutrition and quality of life in older people: a systematic review and meta-analysis. Ageing Res Rev.

    Correia MI, Waitzberg DL. The impact of malnutrition on morbidity, mortality, length of hospital stay and costs evaluated through a multivariate model analysis.

    Clin Nutr. Ruengurairoek T, Vathesatogkit P, Boonhat H, Warodomwichit D, Thongmuang N, Matchariyakul D, et al.

    The association between processed meat intake and the prevalence of type 2 diabetes in Thais: a cross-sectional study from the Electricity Generating Authority of Thailand.

    Ramathibodi Med J. Google Scholar. Ribeiro RV, Hirani V, Senior AM, Gosby AK, Cumming RG, Blyth FM, et al. Diet quality and its implications on the cardio-metabolic, physical and general health of older men: the Concord Health and Ageing in Men Project CHAMP.

    Br J Nutr. Sao Romao Preto L, Dias Conceicao MDC, Figueiredo TM, Pereira Mata MA, Barreira Preto PM, Mateo Aguilar E. Frailty, body composition and nutritional status in non-institutionalised elderly.

    Enferm Clin. Shlisky J, Bloom DE, Beaudreault AR, Tucker KL, Keller HH, Freund-Levi Y, et al. Nutritional considerations for healthy aging and reduction in age-related chronic disease.

    Adv Nutr. Theou O, Chapman I, Wijeyaratne L, Piantadosi C, Lange K, Naganathan V, et al. Can an intervention with testosterone and nutritional supplement improve the frailty level of under-nourished older people?

    J Frailty Aging. Strike SC, Carlisle A, Gibson EL, Dyall SC. A high omega-3 fatty acid multinutrient supplement benefits cognition and mobility in older women: a randomized, double-blind, placebo-controlled pilot study.

    Hutchins-Wiese HL, Kleppinger A, Annis K, Liva E, Lammi-Keefe CJ, Durham HA, et al. The impact of supplemental n-3 long chain polyunsaturated fatty acids and dietary antioxidants on physical performance in postmenopausal women.

    Reduced dietary intake of micronutrients with antioxidant properties negatively impacts muscle health in aged mice. J Cachexia Sarcopenia Muscle.

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    Frailty: The Broad View. In: Fillit HM, Rockwood K, Young JB. That is definitely a lot of lines, fo sho! I'm copying below the hint section that I've elaborated on from the original.

    Basically, for me, I ignore the colored dots , squares, triangles and linear regression line not shown and labels. The white line is price, scaled to the stochastic range.

    So, let's say price is down in the oversold range on 1m chart and maybe creeping up and I'm looking for longs. If so, then I'll look to the 1m chart and wait for an entry Super busy looking indicator, but that's really about it in simplicity.

    Detailed explanation of all of the features is below. Modifications to hints info done by RickKennedy , member usethinkscript.

    Last edited: Aug 16, RickKennedy Thank you for the summarized thoughts. Is that intentional? It seems to work better with tick charts.

    Here are some quick notes: I disabled the VWAP upper and lower band. I can't find where the pivot points indicator plots are. They don't seem to show.

    So, if not used, we can remove those as well. There are a bunch of EMAs in the main chart. Some are useful, but lagging. But, they can be used for support resistance.

    Stdev channels will move as price moves. Good if you are trading mean reversion. Both the t and t price is in the overbought. If you wait for mins, price eventually traces back down to stdev and t price goes into oversold.

    It's a long time to hold for a scalper, but it works. Stochastic would have exited earlier. It is calculated very differently from regular Stochastic.

    I've put up another image that has most of the indicator stripped away eliminate all of the busyness The trigger for a long trade is shown with the vertical cyan line at about am CST.

    As you can see from the standard Stochastic Full below The Stochastic Scalper throws off no such divergence and, in fact, I don't even look for divergences using it.

    Last edited by a moderator: Aug 16, RickKennedy You may be on to something with the tick charts.

    I like the micro trends shown. However, I don't know if the bars will move too quick for t. I'll watch this on the side tomorrow to see the indicators paint live.

    Hello RickKennedy Thank you for posting this indicator. I just came across it today. Can you please share your experience with it?

    Does it repaint? Sorry hhjani , I don't seem to get email notifications sometimes when someone replies to a post here To be honest, I knew about this indicator a long time ago and tried to make it work Recently I revisited it and, in the hopes that it would garner some interest and testing here, it could be used effectively.

    But I'm back and forth with it and it doesn't seem to have gained much interest here. Unfortunately I can't claim much in terms of results.

    I don't believe it repaints. It's a bit noisy but I really like it. The purchase points are more clear than the TTM signals. Zlotko New member VIP.

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