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. Author manuscript; available in PMC: 2011 Feb 1.
Published in final edited form as: Aging health. 2010 Apr 1;6(2):159–167. doi: 10.2217/ahe.10.12

Obesity in the elderly: is faulty metabolism to blame?

Darcy L Johannsen 1, Eric Ravussin 2,
PMCID: PMC2885712  NIHMSID: NIHMS206881  PMID: 20563222

Abstract

The fastest growing segment of the US population, and that of other developed countries, is the oldest-old (aged >85 years). Many children born after the year 2000 in countries with the longest lived residents may live to see their 100th birthday. The combination of reduced mortality along with reduced fertility in developed countries is producing ‘population aging’, and the comorbidities associated with aging are becoming important public health issues. Age-associated obesity is one such important public health issue. Aging is associated with significant changes in body composition, including loss of skeletal muscle mass and increased visceral fat accumulation. The loss of muscle mass is accompanied by a disproportionate decline in muscle strength (up to three-times greater than the loss of mass), indicative of reduced muscle ‘quality’ or muscle dysfunctionality. Aging is characterized by markedly reduced physical activity and a drop in resting metabolic rate that is disproportionate to the loss of muscle mass, with a shift towards preferentially oxidizing carbohydrate at the expense of fat. A combination of these factors may act to increase muscular lipid infiltration and decrease insulin sensitivity; however, the cause and effect relationship remains undetermined. Changes in cellular energy (i.e., ATP) requirement owing to decreased ion channel activity, decreased protein synthesis or increased mitochondrial energy efficiency may underlie the decreased resting metabolic rate. Increasing energy demand through physical activity may alleviate some of the adverse metabolic changes that are associated with aging.

Keywords: aging, body composition, elderly, metabolic rate, mitochondrial function, physical activity


Obesity continues to be a leading public health concern in the USA [1]. The increasing prevalence of obesity in adolescents and adults has captured the attention of the media and scientific world. The prevalence of obesity among the aged and elderly population is less often discussed. The fastest growing segment of the US population, and that of other developed countries, is the oldest-old (aged >85 years). Many children born since the year 2000 in countries with the longest lived residents may live to see their 100th birthday, if the present yearly growth in life expectancy continues throughout the 21st century [2]. Although this increase in life expectancy is a remarkable achievement, individuals who attain the oldest-old age category are also the most susceptible to disease and disability [3]. The combination of reduced mortality along with reduced fertility in developed countries is producing ‘population aging’ [2], and the comorbidities associated with aging are becoming an important research initiative. Age-associated obesity is one such important research initiative [4,5].

Obesity among those aged 65 years and older increased by an average of 3.8% per year during the 1990s in the Netherlands, followed closely by the USA, the UK and Italy [6]. Obesity increases the aged individuals’ susceptibility to disability and poor health outcomes, such as arthritis, stroke and diabetes [7]; however, obese elderly individuals do not necessarily die sooner than those who are not obese [8]. Therefore, even if obesity remains stable until the year 2030, the number of diabetes cases is estimated to more than double worldwide [9], with the greatest risk in people aged 65 years and older. Simply stated, obese elderly individuals are more likely to become disabled and will live a larger proportion of their remaining years with a chronic condition, reducing their quality of life and adding to the public healthcare burden.

In this article, we will review the shifts in body composition that occur with age that result in excess fat mass (particularly relative to muscle mass), especially in visceral and ectopic depots. We will discuss changes in caloric intake and energy expenditure with age, including decreases in resting metabolic rate and physical activity, and a shift towards preferential oxidation of carbohydrate, as well as how these factors may be related to the accumulation of excess fat. We will also review the evidence for ‘dysfunctional’ aged skeletal muscle with particular regard to changes in mitochondrial activity, and how this may impact upon the accumulation of excess body fat. In order to accomplish these goals, we conducted PubMed literature searches using specific keywords that are relevant to our review topic. We included human clinical studies together with appropriate animal studies that investigated outcomes related to our topic of interest, regardless of subject number, study conditions, duration of intervention or testing methods, although we attempted to limit our review to the most recent findings.

Changes in body composition with age

There is a well-known loss of muscle mass with age [10,11], whereas subcutaneous adipose tissue remains relatively stable and ectopic lipid and visceral fat increase [12,13]. Much of these data come from the Health, Aging and Body Composition (Health ABC) study, a longitudinal study of 3075 normal-functioning, community-dwelling men and women aged 70–79 years, designed to determine how changes in body composition influence the risk for functional limitations [14]. Volunteers were assessed at baseline and again after 3 years. Body composition was measured by dual-energy x-ray absorptiometry and computed tomography, and leg strength was measured by isokinetic knee extensor strength. Over the course of 3 years, all groups, regardless of sex or race, lost leg muscle mass and strength, although this loss was almost twofold higher in men compared with women [14]. On average, lean mass declined by 1% per year across genders and races, and accompanying the decline in muscle mass was a three-times greater loss of muscle strength. This decline in muscle ‘quantity’ and ‘quality’ with aging suggests a dysfunctional component to aging skeletal muscle. Changes in body weight were also examined in relation to the loss of muscle mass. Those individuals who lost more than 3% body weight over 3 years lost significantly more muscle mass and strength than those who maintained or gained weight; however, a gain in weight did not confer additional benefits in muscle strength, despite slight increases in muscle mass [14].

This inevitable loss of skeletal muscle mass with age has been called ‘sarcopenia’ (i.e., deficiency of relative skeletal muscle mass) [15]. Sarcopenia in old age is associated with impaired functional performance, increased physical disability and increased risk for falls [16]. Sarcopenia is associated with increased fat infiltration of skeletal muscle, but the cross-sectional nature of these observations limits our ability to define the cause and effect. Fat infiltrates skeletal muscle under a variety of conditions, including certain disease states (e.g., muscular dystrophy and McArdle’s disease) [17,18]. Fat may also infiltrate the muscle as a consequence of overweight, obesity or inactivity [1921], particularly between muscle fibers (i.e., intermuscular lipid). Emerging 5-year longitudinal data from the Health ABC study provide evidence that, regardless of changes in body weight or subcutaneous adipose tissue, fatty infiltration of skeletal muscle increases as a function of age [22]. Moreover, this age-dependent increase in muscle lipid infiltration occurs concomitantly with the disproportionate loss of muscular strength. Again, study volunteers who gained weight over 5 years were not protected from the loss of muscle strength despite small increases in muscle size, and those who lost weight also lost subcutaneous fat and muscle mass; however, intermuscular fat still increased. This study, along with earlier findings [14], clearly indicates that age is independently associated with skeletal muscle lipid infiltration and muscular weakness, indicating a reduced muscle ‘quality’ (i.e., dysfunctionality with age).

Muscular lipid infiltration may play an important role in the adverse metabolic profile associated with muscle loss in aging. Intermuscular fat has been correlated with insulin resistance in numerous studies independently of body weight, fat mass or percentage body fat [2326]. Muscular lipid accumulation is higher in insulin-resistant and Type 2 diabetic individuals and is related to insulin resistance [27,28]. However, aging is also characterized by the accumulation of visceral fat [29] and hepatic lipid [30], both of which are associated with insulin resistance and metabolic markers of cardiovascular disease and systemic inflammation [31]. Therefore, it is not clear which fat depot is most responsible for the metabolic abnormalities observed with aging, although the mechanism by which intramyocellular lipid accumulation (especially diacylglycerol and ceramide accumulation) contributes to skeletal muscle insulin resistance has been defined and is largely accepted [32]. Furthermore, and most importantly, the mechanism(s) underlying fat accumulation (primarily in ectopic/visceral depots) with age is unknown.

Why does body composition change with age?

Energy intake

Data regarding dietary energy intake are often unreliable and prone to self-reporting error [33]; this also holds true for older adults [34]. Therefore, it is difficult to assess whether changes in dietary intake with age contribute to the observed shifts in body composition. Dietary energy intake does not appear to increase with age and, in fact, most data point to decreased caloric intake with age [35], owing to changes in social environment, family status, taste perception, appetite and chewing abilities [36]. Over the years, inadequate dietary protein has been thought to contribute to the loss of skeletal muscle in aging [37], since suboptimal protein intake (<100% of the recommended daily allowance) has been documented in persons aged 70 years or older [101]. Although cross-sectional data have tended not to support a relationship between protein intake and muscle mass with aging [38,39], recent longitudinal data demonstrated that, over 3 years, elderly volunteers (aged 70–79 years) who were in the highest quintile of dietary protein intake lost approximately 40% less total lean mass and appendicular lean mass compared with those in the lowest quintile [40]. Adjustment for changes in fat mass attenuated the relationship; however, it remained significant, indicating that protein may function independently of changes in body weight in order to maintain lean mass. The effects of dietary intake, particularly protein, on body composition with age warrants further investigation; however, longer-term intervention studies need to be conducted in order to determine a cause and effect relationship.

Energy expenditure

As stated previously, the available data do not support a role for changes in energy intake in explaining the increase in fat mass and loss of muscle mass observed with aging. Therefore, we are left with the other side of the equation – energy expenditure. Total daily energy expenditure consists of three components: resting metabolic rate (RMR), the thermic effect of food and energy expenditure of physical activity.

Resting metabolic rate

Resting metabolic rate is closely related to body composition. Fat-free mass (FFM), fat mass, gender and age explain approximately 78% of the variability in RMR [41]. Early cross-sectional studies demonstrated significant age-related declines in RMR [42], and we (and others) have recently confirmed these cross-sectional findings [43]. Longitudinal data also support the decline in RMR; Keys et al. reported a 1–2% decline in basal metabolic rate per decade from the second to the seventh decade of life [44], and it is likely that metabolic rate continues to decline in later decades. The decrease in RMR can be largely explained by the concomitant decrease in FFM [45] and primarily decreased muscle mass [46]. However, we have recently confirmed earlier reports that RMR decreases with age disproportionately to the decline in FFM [47], indicating that there are additional factors that change with age that act to decrease RMR, besides the loss of metabolically active tissue. It is unknown which variable(s) act independently to reduce RMR; however, reduced activity of the thyroid axis (i.e., decreased T3 serum concentrations) is associated with reduced metabolic rate [47], and reduced activity and sensitivity of the sympathetic nervous system may also be partially responsible [48]. Recently, a decrease in organ volume with age was proposed in order to explain the decrease in metabolic rate; however, data have not supported this hypothesis. Although the volume of most organs is reduced in elderly persons, this decrease does not appear to help to explain the drop in RMR [49].

Respiratory quotient

The respiratory quotient (RQ; production of CO2 over O2 consumption in rested and fasting conditions) tends to increase with age [41]. A higher RQ is associated with a higher risk for weight gain [50,51] and implies preferential oxidation of carbohydrate over fat, which could lead to excess fat storage [21]. Indeed, Rising et al. found that, over 7 years, RQ increased significantly, while body fat also increased [52]. The preferential use of carbohydrate substrate with age, which coincides with increased body fat, may contribute to increased obesity in older individuals.

Physical activity

The benefits of regular physical activity for maintaining a healthy metabolic profile through increased muscle mass (and/or quality) and decreased fat mass are well known. Physical activity in the elderly, and particularly among the oldest-old, is markedly decreased [43]. Whether the decrease in muscle mass and muscle strength, in combination with reduced exercise endurance, causes reduced physical activity, or vice versa, remains under debate. What is certain is that there is a persistent drop in activity levels with age, and this decrease is particularly remarkable among the oldest-old [43]. Exercise training in aged volunteers does not appear to attenuate the loss of muscle mass; however, it does prevent the loss of muscle strength (indicating improved muscle quality) and also inhibits fat infiltration into the muscle [53]. Similarly, large cross-sectional studies demonstrate that aged subjects who have the highest activity energy expenditure have the greatest FFM; however, even a relatively high activity energy expenditure does not appear to protect against the loss of muscle mass over a 5-year follow-up period [54].

In combination, the drop in RMR, the increase in RQ and the reduction of physical activity probably act synergistically to create ideal conditions for the accumulation of body fat and the development of insulin resistance with age (Figure 1 & Table 1). In the next section, we elaborate upon the mechanisms that are potentially responsible for the disproportionate drop in RMR and how increasing physical activity may attenuate the adverse metabolic consequences.

Figure 1. Energy expenditure is reduced in elderly individuals.

Figure 1

(A) Energy expenditure in kcal/day in young versus elderly individuals. All components of daily energy expenditure are reduced in the elderly population. (B) RMR plotted against FFM in elderly (aged 90–101 years; n = 103), old (aged 60–75 years; n = 58) and young (aged 20–35 years; n = 53) subjects. The data clearly depict a progressive decrease in RMR for a given amount (kg) of FFM from young to old to elderly subjects. Reasons for the decline in RMR per kg of FFM with aging are unclear.

AEE: Activity energy expenditure; FFM: Fat-free mass; RMR: Resting metabolic rate; TEF: Thermic effect of food.

Data from [43].

Table 1.

Hypothetical data on energy expenditure and body composition from a sedentary young (~30 years old) male and a sedentary elderly (~75 years old) male.

Young Elderly
Energy expenditure (kcal)
Resting metabolic rate 1600 1350
Thermic effect of food 280 200
Activity energy expenditure 920 450
Physical activity level 1.75 1.48
Total 2800 2000
Body composition
Weight (kg) 75 75
Body fat (%) 15 25
Fat-free mass (kg) 64 56
Fat mass (kg) 11 19
Visceral adipose tissue Low >Three-times higher
Intrahepatic lipid Low >Two-times higher
Intramuscular lipid Low ~30% higher

Data are based loosely on results from the Louisiana Healthy Aging Study, a cross-sectional assessment of predictors for healthy aging in more than 850 men and women aged from 20 to more than 100 years [43].

Mitochondrial function with aging: responsible for ‘faulty’ metabolic rate?

Aging is often associated with reduced skeletal muscle mitochondrial function [30,55]. In particular, ATP synthesis in skeletal muscle is reduced in aged persons both in vivo at rest [30] and in vitro under maximally stimulated conditions [55]. In conjunction with this decline are decreases in mitochondrial enzyme activities [56], protein synthesis rates, gene expression [57] and mitochondrial DNA (mtDNA) abundance [58]. These changes occur concomitantly with an increase in insulin resistance [59] and changes in body composition [60]. However, it is still unknown whether mitochondrial dysfunction is the cause of insulin resistance or whether insulin resistance causes mitochondrial dysfunction, with data supporting both arguments [28,61].

There is a generalized decline in muscle protein synthesis with aging [58,62]. This decrease may occur throughout the whole body; however, evidence supports a decrease in the synthesis of mitochondrial and myosin heavy chain protein and an increase in the synthesis of sarcoplasmic proteins [63]. A decrease in mitochondrial biogenesis is also believed to occur with aging [64]; however, the precise mechanism responsible is unknown. A leading theory is decreased AMP kinase (AMPK) activity in aged cells. Chronic AMPK inactivation is linked to a marked decrease in mitochondrial biogenesis in aged animals [65], and reduced AMPK activity was recently found to be associated with aging-related inceases in insulin resistance and decreased intracellular fat oxidation [66]. It is currently unknown whether similar mechanisms are responsible for decreased mitochondrial biogenesis in aged human skeletal muscle, and whether this is a primary defect of aging or a consequence of decreased physical activity. Certainly, experimental data suggest that exercise training (particularly aerobic exercise) increases mitochondrial biogenesis in aged human volunteers.

One recent study found that skeletal muscle ATP synthesis rates were reduced in lean and obese elderly subjects compared with lean and obese young volunteers; however, insulin sensitivity was decreased only in the obese subjects, regardless of age [67]. This suggests a disconnection between mitochondrial function and insulin sensitivity. Furthermore, endurance-trained young and elderly individuals have similar insulin sensitivity, despite persistently lower mitochondrial ATP production in the elderly subjects [68], which indicates that insulin sensitivity can be improved with physical activity without completely restoring mitochondrial function.

Most data suggest a decrease in mitochondrial content as the potential underlying cause of other mitochondrial changes observed with age. However, changes in mitochondrial efficiency may also occur as part of the aging process. This is reflected as a change in the amount of ATP produced per unit of oxygen consumed (termed the P:O ratio), and can be measured in vivo and in vitro. Animal studies suggest that mitochondrial efficiency may increase with aging [69]. In this animal study, mitochondrial efficiency was tested by measuring the degree of thermodynamic coupling and optimal thermodynamic efficiency, as well as mitochondrial proton leak, determined in both the absence (basal) and presence (fatty acid-induced) of palmitate. In 180 day-old rats, skeletal muscle mitochondria displayed higher respiratory capacity and energy efficiency compared with 60 day-old rats, and fatty acid-induced proton leak was decreased. Moreover, the degree of efficiency was inversely related to insulin sensitivity (homeostatic model assessment index) [70]. A similar increase in energy efficiency in aged human skeletal muscle may explain the previously mentioned changes in mitochondrial function. In addition, increased mitochondrial efficiency may lead to a reduced utilization of energy substrate (particularly fatty acids), leading to the accumulation of intracellular lipid metabolites, thus contributing to insulin resistance.

Conclusion & future perspective

From our review of the literature, we can summarize the following key points:

  • There is an inevitable loss of muscle mass with age and a concomitant increase in fat mass, particularly in the abdominal region;

  • Resting metabolic rate, even after adjusting for the loss of lean mass or organ mass, is decreased with age;

  • Physical activity also decreases with age, resulting in an overall significant decrease in total daily energy expenditure;

  • Although dietary energy intake does not increase significantly, and may actually decrease with age, this does not appear to compensate for the decline in energy expenditure, resulting in body fat accumulation and associated metabolic abnormalities (i.e., insulin resistance).

Still under debate is why metabolic rate declines disproportionately with age (Figure 1). In this article, we offer possible contributing factors: reduced cellular energy (i.e., ATP) requirement owing to decreased ion channel activity, decreased protein synthesis or increased mitochondrial energy efficiency (P:O ratio); changes in the hormonal milieu (e.g., thyroid profile, reduced testosterone and estrogen); and decreased sympathetic nervous system activity/sensitivity. Whether decreased lean mass (especially muscle) is a cause or a consequence of the reduction in physical activity is unknown. However, increasing the amount of daily physical activity does attenuates these negative age-associated changes by increasing the cellular energy requirement. In addition, physical activity enhances insulin sensitivity and may prevent ectopic fat infiltration, even though it might not completely rescue the age-associated changes in skeletal muscle mitochondrial function.

In conclusion, changes in resting metabolic activity occur with age that may contribute to the accumulation of body fat and insulin resistance. The inclusion of daily physical activity and moderate (high protein) caloric intake may help to mediate these age-associated metabolic changes by limiting ectopic fat accumulation (e.g., visceral, skeletal muscle and liver), optimizing mitochondrial activity and largely restoring a healthy metabolic profile. Future studies should focus on physical activity versus dietary (i.e., calorie restriction or specific protein modifications) interventions in aged adults in order to determine the effects on insulin sensitivity, visceral and ectopic fat accumulation and skeletal muscle mitochondrial function. Results may lead to improved recommendations for exercise and diet in the older adult population that aim to maintain optimal body composition and metabolic health.

Executive summary.

Introduction

  • Obesity is a leading public health concern in the USA and the prevalence of obesity in adults aged 65 years and older is increasing.

  • Obese elderly individuals are more likely to become disabled and will live a larger proportion of their remaining years with a chronic condition, reducing their quality of life and adding to the public healthcare burden.

Changes in body composition with age

  • Muscle mass decreases with age, whereas subcutaneous adipose tissue remains relatively stable, and ectopic lipid and visceral fat increase.

  • On average, muscle mass declines 1% per year; however, muscle strength declines at a rate that is three-times greater. This decline in muscle ‘quality’ with aging suggests a dysfunctional component to aging skeletal muscle.

  • Intermuscular fat accumulation is common to aging and has been correlated with insulin resistance in numerous studies independent of body weight, fat mass or percentage body fat.

Why does body composition change with age?

  • Dietary energy intake does not appear to increase with age and, in fact, most data point to decreased caloric intake owing to changes in social environment, chewing abilities and taste perception.

  • Resting metabolic rate decreases with age, out of proportion to the loss of muscle mass, and may be related to the reduced activity of the thyroid axis, the reduced activity and/or sensitivity of the sympathetic nervous system and decreased organ volume.

  • The respiratory quotient tends to increase with age, implying preferential oxidation of carbohydrate over fat.

  • Physical activity decreases with age, particularly among the oldest-old. The drop in resting metabolic rate, the increase in respiratory quotient and the reduction in physical activity most likely act synergistically to create ideal conditions for the accumulation of body fat and the development of insulin resistance with age.

Mitochondrial function with aging: responsible for ‘faulty’ metabolic rate?

  • Synthesis of ATP in skeletal muscle is reduced in aged persons both in vivo at rest and in vitro under maximally stimulated conditions.

  • There is a generalized decline in muscle protein synthesis with aging along with a decrease in mitochondrial biogenesis, which may be due to decreased AMP kinase activity in aged cells. This suggests a lower energy demand in aged cells.

  • Mitochondrial efficiency may increase with aging, producing similar quantities of ATP with less oxygen. The combination of reduced energy demand and greater efficiency may result in a lesser requirement to oxidize energy substrate (particularly fatty acids), leading to accumulation of intracellular lipid metabolites, thus contributing to insulin resistance.

  • These mitochondrial changes may underlie the unexplained drop in resting metabolic rate with age.

Footnotes

For reprint orders, please contact: reprints@futuremedicine.com

Financial & competing interests disclosure

Darcy Johannsen and Eric Ravussin were collaborators in the Louisiana Healthy Aging Study, which was funded by the National Institute on Aging, a section of the NIH (Grant no. PO1 AGO22064). The authors have no relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript. This includes employment, consultancies, honoraria, stock ownership or options, expert testimony, grants or patents received or pending, or royalties.

No writing assistance was utilized in the production of this manuscript.

Contributor Information

Darcy L Johannsen, Email: darcy.johannsen@pbrc.edu, Pennington Biomedical Research Center, Baton Rouge, LA, USA, Tel.: +1 225 763 2893, Fax: +1 225 763 3030.

Eric Ravussin, Email: eric.ravussin@pbrc.edu, Pennington Biomedical Research Center, Baton Rouge, LA, USA, Tel.: +1 225 763 3186, Fax: +1 225 763 3030.

Bibliography

Papers of special note have been highlighted as:

• of interest

•• of considerable interest

  • 1.Flegal KM, Graubard BI, Williamson DF, Gail MH. Excess deaths associated with underweight, overweight, and obesity. JAMA. 2005;293:1861–1867. doi: 10.1001/jama.293.15.1861. [DOI] [PubMed] [Google Scholar]
  • 2.Christensen K, Doblhammer G, Rau R, Vaupel JW. Ageing populations: the challenges ahead. Lancet. 2009;374:1196–1208. doi: 10.1016/S0140-6736(09)61460-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Engberg H, Oksuzyan A, Jeune B, Vaupel JW, Christensen K. Centenarians – a useful model for healthy aging? A 29-year follow-up of hospitalizations among 40,000 Danes born in 1905. Aging Cell. 2009;8:270–276. doi: 10.1111/j.1474-9726.2009.00474.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Olshansky SJ, Passaro DJ, Hershow RC, et al. A potential decline in life expectancy in the United States in the 21st century. N Engl J Med. 2005;352:1138–1145. doi: 10.1056/NEJMsr043743. [DOI] [PubMed] [Google Scholar]
  • 5.Sturm R, Ringel JS, Andreyeva T. Increasing obesity rates and disability trends. Health Aff (Millwood) 2004;23:199–205. doi: 10.1377/hlthaff.23.2.199. [DOI] [PubMed] [Google Scholar]
  • 6.Lafortune G, Balestat G. OECD Health Working Paper, No. 26. Organisation for Economic Co-operation and Development; France: 2007. Trends in Severe Disability Among Elderly People: Assessing the Evidence in 12 OECD Countries and the Future Implications. [Google Scholar]
  • 7.Reynolds SL, Saito Y, Crimmins EM. The impact of obesity on active life expectancy in older American men and women. Gerontologist. 2005;45:438–444. doi: 10.1093/geront/45.4.438. [DOI] [PubMed] [Google Scholar]
  • 8.Doblhammer G, Hoffmann R, Muth E, Westphal C, Kruse A. A systematic literature review of studies analyzing the effect of sex, age, education, marital status, obesity, and smoking on health transitions. Demogr Res. 2009;20:37–64. [Google Scholar]
  • 9.Wild S, Roglic G, Green A, Sicree R, King H. Global prevalence of diabetes: estimates for the year 2000 and projections for 2030. Diabetes Care. 2004;27:1047–1053. doi: 10.2337/diacare.27.5.1047. [DOI] [PubMed] [Google Scholar]
  • 10.Gallagher D, Ruts E, Visser M, et al. Weight stability masks sarcopenia in elderly men and women. Am J Physiol Endocrinol Metab. 2000;279:E366–E375. doi: 10.1152/ajpendo.2000.279.2.E366. [DOI] [PubMed] [Google Scholar]
  • 11.Gallagher D, Visser M, De Meersman RE, et al. Appendicular skeletal muscle mass: effects of age, gender, and ethnicity. J Appl Physiol. 1997;83:229–239. doi: 10.1152/jappl.1997.83.1.229. [DOI] [PubMed] [Google Scholar]
  • 12.Enzi G, Gasparo M, Biondetti PR, Fiore D, Semisa M, Zurlo F. Subcutaneous and visceral fat distribution according to sex, age, and overweight, evaluated by computed tomography. Am J Clin Nutr. 1986;44:739–746. doi: 10.1093/ajcn/44.6.739. [DOI] [PubMed] [Google Scholar]
  • 13.Zamboni M, Armellini F, Harris T, et al. Effects of age on body fat distribution and cardiovascular risk factors in women. Am J Clin Nutr. 1997;66:111–115. doi: 10.1093/ajcn/66.1.111. [DOI] [PubMed] [Google Scholar]
  • 14•.Goodpaster BH, Park SW, Harris TB, et al. The loss of skeletal muscle strength, mass, and quality in older adults: the health, aging and body composition study. J Gerontol A Biol Sci Med Sci. 2006;61:1059–1064. doi: 10.1093/gerona/61.10.1059. Demonstrates that although the loss of muscle mass is associated with the decline in strength in older adults, this strength decline is much more rapid than the concomitant loss of muscle mass, suggesting a decline in muscle quality with age. [DOI] [PubMed] [Google Scholar]
  • 15.Rosenberg IH. Sarcopenia: origins and clinical relevance. J Nutr. 1997;127:990S–991S. doi: 10.1093/jn/127.5.990S. [DOI] [PubMed] [Google Scholar]
  • 16.Baumgartner RN, Koehler KM, Gallagher D, et al. Epidemiology of sarcopenia among the elderly in New Mexico. Am J Epidemiol. 1998;147:755–763. doi: 10.1093/oxfordjournals.aje.a009520. [DOI] [PubMed] [Google Scholar]
  • 17.De Kerviler E, Leroy-Willig A, Duboc D, Eymard B, Syrota A. MR quantification of muscle fatty replacement in McArdle’s disease. Magn Reson Imaging. 1996;14:1137–1141. doi: 10.1016/s0730-725x(96)00236-6. [DOI] [PubMed] [Google Scholar]
  • 18.Leroy-Willig A, Willig TN, Henry-Feugeas MC, et al. Body composition determined with MR in patients with Duchenne muscular dystrophy, spinal muscular atrophy, and normal subjects. Magn Reson Imaging. 1997;15:737–744. doi: 10.1016/s0730-725x(97)00046-5. [DOI] [PubMed] [Google Scholar]
  • 19.Greco AV, Mingrone G, Giancaterini A, et al. Insulin resistance in morbid obesity: reversal with intramyocellular fat depletion. Diabetes. 2002;51:144–151. doi: 10.2337/diabetes.51.1.144. [DOI] [PubMed] [Google Scholar]
  • 20.Kelley DE, Slasky BS, Janosky J. Skeletal muscle density: effects of obesity and non-insulin-dependent diabetes mellitus. Am J Clin Nutr. 1991;54:509–515. doi: 10.1093/ajcn/54.3.509. [DOI] [PubMed] [Google Scholar]
  • 21.Moro C, Galgani JE, Luu L, et al. Influence of gender, obesity, and muscle lipase activity on intramyocellular lipids in sedentary individuals. J Clin Endocrinol Metab. 2009;94:3440–3447. doi: 10.1210/jc.2009-0053. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22•.Delmonico MJ, Harris TB, Visser M, et al. Longitudinal study of muscle strength, quality, and adipose tissue infiltration. Am J Clin Nutr. 2009;90:1579–1785. doi: 10.3945/ajcn.2009.28047. Demonstrates that the loss of leg strength in older adults is greater than muscle area loss, which suggests a decrease in muscle quality. In addition, aging is associated with an increase in intermuscular fat, regardless of changes in weight or subcutaneous fat. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Goodpaster BH, Krishnaswami S, Harris TB, et al. Obesity, regional body fat distribution, and the metabolic syndrome in older men and women. Arch Intern Med. 2005;165:777–783. doi: 10.1001/archinte.165.7.777. [DOI] [PubMed] [Google Scholar]
  • 24.Goodpaster BH, Krishnaswami S, Resnick H, et al. Association between regional adipose tissue distribution and both Type 2 diabetes and impaired glucose tolerance in elderly men and women. Diabetes Care. 2003;26:372–379. doi: 10.2337/diacare.26.2.372. [DOI] [PubMed] [Google Scholar]
  • 25.Goodpaster BH, Thaete FL, Kelley DE. Thigh adipose tissue distribution is associated with insulin resistance in obesity and in Type 2 diabetes mellitus. Am J Clin Nutr. 2000;71:885–892. doi: 10.1093/ajcn/71.4.885. [DOI] [PubMed] [Google Scholar]
  • 26.Albu JB, Kovera AJ, Allen L, et al. Independent association of insulin resistance with larger amounts of intermuscular adipose tissue and a greater acute insulin response to glucose in African American than in white nondiabetic women. Am J Clin Nutr. 2005;82:1210–1217. doi: 10.1093/ajcn/82.6.1210. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Perseghin G, Scifo P, De Cobelli F, et al. Intramyocellular triglyceride content is a determinant of in vivo insulin resistance in humans: a 1H-13C nuclear magnetic resonance spectroscopy assessment in offspring of Type 2 diabetic parents. Diabetes. 1999;48:1600–1606. doi: 10.2337/diabetes.48.8.1600. [DOI] [PubMed] [Google Scholar]
  • 28.Petersen KF, Dufour S, Befroy D, Garcia R, Shulman GI. Impaired mitochondrial activity in the insulin-resistant offspring of patients with Type 2 diabetes. N Engl J Med. 2004;350:664–671. doi: 10.1056/NEJMoa031314. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Kuk JL, Saunders TJ, Davidson LE, Ross R. Age-related changes in total and regional fat distribution. Ageing Res Rev. 2009;8:339–348. doi: 10.1016/j.arr.2009.06.001. [DOI] [PubMed] [Google Scholar]
  • 30••.Petersen KF, Befroy D, Dufour S, et al. Mitochondrial dysfunction in the elderly: possible role in insulin resistance. Science. 2003;300:1140–1142. doi: 10.1126/science.1082889. One of the first studies to suggest that an age-associated decline in mitochondrial function contributed to increased fat accumulation in muscle and liver tissue and reduced insulin sensitivity in the elderly. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Schrager MA, Metter EJ, Simonsick E, et al. Sarcopenic obesity and inflammation in the InCHIANTI study. J Appl Physiol. 2007;102:919–925. doi: 10.1152/japplphysiol.00627.2006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Shulman GI. Cellular mechanisms of insulin resistance. J Clin Invest. 2000;106:171–176. doi: 10.1172/JCI10583. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Trabulsi J, Schoeller DA. Evaluation of dietary assessment instruments against doubly labeled water, a biomarker of habitual energy intake. Am J Physiol Endocrinol Metab. 2001;281:E891–E899. doi: 10.1152/ajpendo.2001.281.5.E891. [DOI] [PubMed] [Google Scholar]
  • 34.Kaczkowski CH, Jones PJ, Feng J, Bayley HS. Four-day multimedia diet records underestimate energy needs in middle-aged and elderly women as determined by doubly-labeled water. J Nutr. 2000;130:802–805. doi: 10.1093/jn/130.4.802. [DOI] [PubMed] [Google Scholar]
  • 35.Elahi VK, Elahi D, Andres R, Tobin JD, Butler MG, Norris AH. A longitudinal study of nutritional intake in men. J Gerontol. 1983;38:162–180. doi: 10.1093/geronj/38.2.162. [DOI] [PubMed] [Google Scholar]
  • 36.Donini LM, Savina C, Cannella C. Eating habits and appetite control in the elderly: the anorexia of aging. Int Psychogeriatr. 2003;15:73–87. doi: 10.1017/s1041610203008779. [DOI] [PubMed] [Google Scholar]
  • 37.Walrand S, Boirie Y. Optimizing protein intake in aging. Curr Opin Clin Nutr Metab Care. 2005;8:89–94. doi: 10.1097/00075197-200501000-00014. [DOI] [PubMed] [Google Scholar]
  • 38.Baumgartner RN, Waters DL, Gallagher D, Morley JE, Garry PJ. Predictors of skeletal muscle mass in elderly men and women. Mech Ageing Dev. 1999;107:123–136. doi: 10.1016/s0047-6374(98)00130-4. [DOI] [PubMed] [Google Scholar]
  • 39.Mitchell D, Haan MN, Steinberg FM, Visser M. Body composition in the elderly: the influence of nutritional factors and physical activity. J Nutr Health Aging. 2003;7:130–139. [PubMed] [Google Scholar]
  • 40.Houston DK, Nicklas BJ, Ding J, et al. Dietary protein intake is associated with lean mass change in older, community-dwelling adults: the Health, Aging, and Body Composition (Health ABC) study. Am J Clin Nutr. 2008;87:150–155. doi: 10.1093/ajcn/87.1.150. [DOI] [PubMed] [Google Scholar]
  • 41.Weyer C, Snitker S, Rising R, Bogardus C, Ravussin E. Determinants of energy expenditure and fuel utilization in man: effects of body composition, age, sex, ethnicity and glucose tolerance in 916 subjects. Int J Obes Relat Metab Disord. 1999;23:715–722. doi: 10.1038/sj.ijo.0800910. [DOI] [PubMed] [Google Scholar]
  • 42.Shock NW, Yiengst MJ. Age changes in basal respiratory measurements and metabolism in males. J Gerontol. 1955;10:31–40. doi: 10.1093/geronj/10.1.31. [DOI] [PubMed] [Google Scholar]
  • 43.Johannsen DL, DeLany JP, Frisard MI, et al. Physical activity in aging: comparison among young, aged, and nonagenarian individuals. J Appl Physiol. 2008;105:495–501. doi: 10.1152/japplphysiol.90450.2008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Keys A, Taylor HL, Grande F. Basal metabolism and age of adult man. Metabolism. 1973;22:579–587. doi: 10.1016/0026-0495(73)90071-1. [DOI] [PubMed] [Google Scholar]
  • 45.Tzankoff SP, Norris AH. Effect of muscle mass decrease on age-related BMR changes. J Appl Physiol. 1977;43:1001–1006. doi: 10.1152/jappl.1977.43.6.1001. [DOI] [PubMed] [Google Scholar]
  • 46.Cohn SH, Vartsky D, Yasumura S, et al. Compartmental body composition based on total-body nitrogen, potassium, and calcium. Am J Physiol. 1980;239:E524–E530. doi: 10.1152/ajpendo.1980.239.6.E524. [DOI] [PubMed] [Google Scholar]
  • 47.Frisard MI, Broussard A, Davies SS, et al. Aging, resting metabolic rate, and oxidative damage: results from the Louisiana Healthy Aging study. J Gerontol A Biol Sci Med Sci. 2007;62:752–759. doi: 10.1093/gerona/62.7.752. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Snitker S, Macdonald I, Ravussin E, Astrup A. The sympathetic nervous system and obesity: role in aetiology and treatment. Obes Rev. 2000;1:5–15. doi: 10.1046/j.1467-789x.2000.00001.x. [DOI] [PubMed] [Google Scholar]
  • 49.Gallagher D, Allen A, Wang Z, Heymsfield SB, Krasnow N. Smaller organ tissue mass in the elderly fails to explain lower resting metabolic rate. Ann NY Acad Sci. 2000;904:449–455. doi: 10.1111/j.1749-6632.2000.tb06499.x. [DOI] [PubMed] [Google Scholar]
  • 50.Weyer C, Pratley RE, Salbe AD, Bogardus C, Ravussin E, Tataranni PA. Energy expenditure, fat oxidation, and body weight regulation: a study of metabolic adaptation to long-term weight change. J Clin Endocrinol Metab. 2000;85:1087–1094. doi: 10.1210/jcem.85.3.6447. [DOI] [PubMed] [Google Scholar]
  • 51.Zurlo F, Lillioja S, Esposito-Del Puente A, et al. Low ratio of fat to carbohydrate oxidation as predictor of weight gain: study of 24-h RQ. Am J Physiol. 1990;259:E650–E657. doi: 10.1152/ajpendo.1990.259.5.E650. [DOI] [PubMed] [Google Scholar]
  • 52.Rising R, Tataranni PA, Snitker S, Ravussin E. Decreased ratio of fat to carbohydrate oxidation with increasing age in Pima Indians. J Am Coll Nutr. 1996;15:309–312. doi: 10.1080/07315724.1996.10718603. [DOI] [PubMed] [Google Scholar]
  • 53•.Goodpaster BH, Chomentowski P, Ward BK, et al. Effects of physical activity on strength and skeletal muscle fat infiltration in older adults: a randomized controlled trial. J Appl Physiol. 2008;105:1498–1503. doi: 10.1152/japplphysiol.90425.2008. Demonstrates that regular physical activity prevents both the age-associated loss of muscle strength and the increase in muscle fat infiltration in older adults with moderate functional limitations. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Manini TM, Everhart JE, Anton SD, et al. Activity energy expenditure and change in body composition in late life. Am J Clin Nutr. 2009;90:1336–1342. doi: 10.3945/ajcn.2009.27659. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55•.Short KR, Bigelow ML, Kahl J, et al. Decline in skeletal muscle mitochondrial function with aging in humans. Proc Natl Acad Sci USA. 2005;102:5618–5623. doi: 10.1073/pnas.0501559102. Demonstrates that mitochondrial DNA (mtDNA), mRNA abundance and mitochondrial ATP production all decline with advancing age, suggesting that age-related muscle mitochondrial dysfunction is related to reduced mtDNA and muscle functional changes that are common in the elderly. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Coggan AR, Spina RJ, King DS, et al. Histochemical and enzymatic comparison of the gastrocnemius muscle of young and elderly men and women. J Gerontol. 1992;47:B71–B76. doi: 10.1093/geronj/47.3.b71. [DOI] [PubMed] [Google Scholar]
  • 57.Rooyackers OE, Adey DB, Ades PA, Nair KS. Effect of age on in vivo rates of mitochondrial protein synthesis in human skeletal muscle. Proc Natl Acad Sci USA. 1996;93:15364–15369. doi: 10.1073/pnas.93.26.15364. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58•.Menshikova EV, Ritov VB, Fairfull L, Ferrell RE, Kelley DE, Goodpaster BH. Effects of exercise on mitochondrial content and function in aging human skeletal muscle. J Gerontol A Biol Sci Med Sci. 2006;61:534–540. doi: 10.1093/gerona/61.6.534. Demonstrates that exercise enhances the mitochondrial electron transport system activity in older human skeletal muscle, particularly in subsarcolemmal mitochondria, which is probably related to the concomitant increases in mitochondrial biogenesis. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Short KR, Vittone JL, Bigelow ML, et al. Impact of aerobic exercise training on age-related changes in insulin sensitivity and muscle oxidative capacity. Diabetes. 2003;52:1888–1896. doi: 10.2337/diabetes.52.8.1888. [DOI] [PubMed] [Google Scholar]
  • 60.Hughes VA, Roubenoff R, Wood M, Frontera WR, Evans WJ, Fiatarone Singh MA. Anthropometric assessment of 10-y changes in body composition in the elderly. Am J Clin Nutr. 2004;80:475–482. doi: 10.1093/ajcn/80.2.475. [DOI] [PubMed] [Google Scholar]
  • 61.Nair KS, Bigelow ML, Asmann YW, et al. Asian Indians have enhanced skeletal muscle mitochondrial capacity to produce ATP in association with severe insulin resistance. Diabetes. 2008;57:1166–1175. doi: 10.2337/db07-1556. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Yarasheski KE, Welle S, Nair KS. Muscle protein synthesis in younger and older men. JAMA. 2002;287:317–318. doi: 10.1001/jama.287.3.317. [DOI] [PubMed] [Google Scholar]
  • 63.Balagopal P, Rooyackers OE, Adey DB, Ades PA, Nair KS. Effects of aging on in vivo synthesis of skeletal muscle myosin heavy-chain and sarcoplasmic protein in humans. Am J Physiol. 1997;273:E790–E800. doi: 10.1152/ajpendo.1997.273.4.E790. [DOI] [PubMed] [Google Scholar]
  • 64.Lopez-Lluch G, Irusta PM, Navas P, de Cabo R. Mitochondrial biogenesis and healthy aging. Exp Gerontol. 2008;43:813–819. doi: 10.1016/j.exger.2008.06.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65••.Reznick RM, Zong H, Li J, et al. Aging-associated reductions in AMP-activated protein kinase activity and mitochondrial biogenesis. Cell Metab. 2007;5:151–156. doi: 10.1016/j.cmet.2007.01.008. Important demonstration that aging-associated reductions in AMP kinase activity may be an important contributing factor in the reduced mitochondrial function and dysregulated intracellular lipid metabolism that is associated with aging. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66.Qiang W, Weiqiang K, Qing Z, Pengju Z, Yi L. Aging impairs insulin-stimulated glucose uptake in rat skeletal muscle via suppressing AMPK-α. Exp Mol Med. 2007;39:535–543. doi: 10.1038/emm.2007.59. [DOI] [PubMed] [Google Scholar]
  • 67.Karakelides H, Irving BA, Short KR, O’Brien P, Nair KS. Age, obesity, and sex effects on insulin sensitivity and skeletal muscle mitochondrial function. Diabetes. 2009;59:89–97. doi: 10.2337/db09-0591. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68.Lanza IR, Short DK, Short KR, et al. Endurance exercise as a countermeasure for aging. Diabetes. 2008;57:2933–2942. doi: 10.2337/db08-0349. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69.Iossa S, Mollica MP, Lionetti L, Crescenzo R, Tasso R, Liverini G. A possible link between skeletal muscle mitochondrial efficiency and age-induced insulin resistance. Diabetes. 2004;53:2861–2866. doi: 10.2337/diabetes.53.11.2861. [DOI] [PubMed] [Google Scholar]

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  • 101.Results from US Department of Agriculture’s 1996 continuing survey of food intakes by individuals and 1996 diet and health knowledge survey. Online ARS Food Surveys Research Group.

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