The global obesity crisis has been a major concern for public health organizations worldwide. The prevalence of obesity in the older population has been on the rise, and now poses a major global threat in both developed and developing countries. Overall age-adjusted prevalence of obesity in the United States is estimated to be 35.0% among men and 40.4% among women (1). These rates parallel those observed in the geriatric population, with 37.1% of men and 33.6% of women aged 60 years and older classified as having obesity (based on a body mass index (BMI) ≥30 kg/min2). In this same age range, the rates of being classified as overweight are 78.4% for men and 68.6% for women (2). Recently, a systematic analysis for the Global Burden of Disease Study revealed a worldwide increase in the prevalence of overweight and obesity by 27.5% between 1980 and 2013. This task force examined all major multi-country survey programs that included information on height and weight of their citizens, gathering statistics from 188 countries ranging from the most developed to least developed (3). Though this issue has for some time been recognized as a large public health concern in the Western World, it is becoming increasingly clear that this now represents a major global public health issue as it has extended into developing countries.
Several major factors have been identified in driving this worsening pandemic. Worldwide, there has been a general increase in the intake of energy-dense foods (4) and ‘westernization’ of countries that were previously less developed. Increasing sedentary forms of work, expanding urbanization, and changes in mode of transportation have prompted an overall decrease in levels of physical activity (4). As solutions and new initiatives for this worsening global dilemma are being sought in health promotion and disease prevention, it is important to first understand the current climate in this field: the initiatives underway, the impact these may have (if any), and any current limitations in the approach to solving this major issue.
Developed vs. developing countries
In developed countries such as the United States, the obesity crisis is largely driven by disproportionately high calorie diets and increasingly sedentary lifestyles (5). Though a newer phenomenon, this is now being observed in developing nations as well. In these countries, there has been a significant rise in the consumption of energy-dense but micronutrient-poor foods given that they are lowest in cost (4). In addition, reductions in energy expenditure activities such as farming and forestry along with a concomitant increase in sedentary leisure activities such as sitting at a computer or television have been identified (6, 7). In African nations between the years 1981-1990, a surge in obesity rates was observed. This was due in part to a substantial reduction in physical activity due to road development and taxis and buses becoming the most common means of transportation, as well as a shift away from manual labor jobs. The obesity rates are beginning to approach those of developed countries (8). There is also likely a component of reduced education and resources contributing to these recent trends and rising concerns. An inverse relationship has been observed between education level and the risk of developing multimorbidity (9-11). In fact, education is reported to be the socioeconomic indicator that most significantly predicts diet quality (12). Much is thought to be contributed by the lack of health literacy and poor knowledge of proper dietary choices and food purchasing behavior (13). Future projections suggest a much larger proportional increase in the number of overweight and obese individuals by 2030 in developing nations compared to developed regions as a result of these changes in sociodemographic characteristics (14). There remains a need for more evidence to differentiate risk factors in the elderly versus the younger adult population for obesity, particularly in developing countries. However, these general trends observed can likely be inferred to impact both these populations.
The importance of geriatric obesity
Consequences of obesity in the elderly
Obesity, in general, increases the risk of developing coronary heart disease (15), hypertension (16), diabetes (17), and obstructive sleep apnea (18), and has been linked to certain cancers (4), reduced life expectancy (19), and increased risk of premature mortality (20). While such co-morbidity is important in the elderly, quality of life and functional status often become of more significant interest to such patients. Obesity itself is associated with greater limitations in activities of daily living and a larger increase in functional impairments (21).
Chen and Guo (2008) (21) used data from NHANES 1999-2004 and evaluated older adults’ functional status aged ≥ 60 years. Each subject rated their level of difficulty (on a 4 point scale) with performing a number of tasks, including locomotion and transfers, household productivity and manipulation of their surroundings. These were grouped into five major categories: activities of daily living, instrumental activities of daily living, leisure and social activities, lower extremity mobility, and general physical activities (22), (22). The authors found that both BMI and waist circumference were positively associated with all measures of functional disabilities in women (21). Compared with the lowest quartile of waist circumference (< 87.0 cm), odds ratios and 95% confidence intervals (CI) of the highest quartile (>104.2 cm) for having difficulties in functional domains were 2.4 (95% CI=1.6-3.6) for activities of daily living, 2.3 (95% CI=1.6-3.3) for instrumental activities of daily living, 2.6 (95% CI=1.6-4.1) for leisure and social activities, 4.8 (3.4-6.9) for lower extremity mobility and 2.9 (95% CI=2.1-4.0) for general physical activities. In men, they were similarly associated with most measures of disabilities, but less so for activities of daily living and instrumental activities of daily living (21).
Other studies have produced similar findings. Al Snih et al. (23) investigated data from five sites of the Established Populations for Epidemiologic Studies of the Elderly, following a total of 12,725 Americans who were not disabled at baseline (8359 non-Hispanic white Americans, 1931 African Americans and 2435 Mexican Americans) over a 7 year span. Their findings concluded that a disability-free life expectancy was greatest in subjects with BMI of 25-30 kg/m2, and those >30 kg/m2 at baseline were significantly more likely to experience disability (23). A systematic review of 13 cross-sectional and 15 longitudinal studies on this subject also reported that a BMI of 30-35 kg/m2 is the point when mobility limitations are more likely to develop (24). A meta-analysis of 26 studies by Schaap et al. (25) similarly revealed a direct correlation between obesity and functional decline, usually self-reported, in comparison to normal weight. Of note, they found this to be true looking at all the different measures of obesity, such as BMI, waist circumference and higher body fat percentage.
Patients with obesity are also more likely to require hospitalization and more likely to require surgery. In the U.S., four of the five most common reasons for hospital admissions in the elderly are congestive heart failure, coronary atherosclerosis, cardiac dysrhythmias and acute myocardial infarctions, all which have associations with obesity (26). A disproportionate amount of invasive surgical procedures that have ties to obesity are also performed in this subgroup, with over 70% of all cardiothoracic surgeries and nearly 60% of all general surgery cases being performed in adults over 65 years (27). Hospitalizations in an older population leads to further impaired outcomes of functional decline, delirium, institutionalization and death. In synergy with obesity, this amounts to an increase in healthcare utilization and adverse events.
One emerging concept is that of normal weight obesity. These are subjects with a normal BMI but elevated waist-to-hip ratio or waist circumference. A recently published study sought to examine the mortality risk in older adults with coronary artery disease (CAD) who were classified as having normal-weight central obesity. A total of 7,057 patients aged 65 years or older (mean age 73.0 +/- 6.0 years) were identified from five cohort studies and grouped into categories by whether they had normal, overweight or obese BMI 18.5-24.9 kg/m2, 25-29.9 kg/m2, and ≥ 30 kg/m2, respectively), and if they had high or low waist circumference (high defined as ≥ 88 cm for women and ≥102 cm for men) or high or low waist-hip ratio (high defined as ≥0.85 for women and ≥0.90 for men). The authors found the highest mortality risk to actually be in the normal BMI and central obesity cohorts (either high waist circumference or high waist-hip ratio), reporting hazard ratios (HR) of 1.29 (95% CI=1.13-1.46) in the high waist circumference group and 1.29 (95% CI=1.12-1.50) in the high waist-hip ratio group (28). Importantly, subjects with normal weight obesity have higher cardiometabolic disorders and can inadvertently be ignored in clinical practice.
Is it safe to advise older adults to lose weight?
The subject of weight loss interventions in older adults remains a controversial topic. First, there are studies that have demonstrated that increased adiposity may have a “protective” effect in older adults (the “obesity paradox”). Some studies have shown that being overweight has been associated with the lowest mortality compared to all other BMI ranges, and this is most pronounced in older adults (29, 30). This concept often relates to chronic diseases of inflammation including end-stage renal disease and chronic heart failure. Each of these diseases are often characterized by sarcopenia, the loss of muscle mass and function with aging (31). Another hypothesis stems from the impact of cardiorespiratory fitness in adults with obesity portending to better outcomes. Although the presence of obesity increases the risk of developing these chronic conditions, once present, patients with obesity tend to have higher survival rates (32). Some speculate this is due, in part, to the presence of larger stores of body mass (and therefore energy) as well as a better overall nutritional status (33). Lastly, in contrast to earlier published epidemiologic studies, it is important to identify studies evaluating intentional weight loss in this population, as unintentional weight loss is often the harbinger of frailty and death. Larger population-based cohort studies out of the U.K. and the U.S. (34, 35) have shown that unintentional weight loss is a poor predictor of mortality. Surprisingly, the Melbourne Longitudinal Studies on Healthy Ageing (MELSHA), which enrolled 1,000 participants, found a protective effect of unintentional weight loss. However, these findings were most attributable to those who had already started with significant excess body weight (36), which emphasizes the complexity of this topic and gives clear reason for why this is often a more patient-specific approach.
Obesity paradox in developed countries
One systematic review and meta-analysis examined the association of all-cause mortality with overweight and obesity as defined by BMI. Prospective studies in the general population were evaluated that reported hazard ratios (HR) for all-cause mortality for overweight (0.94 [95% CI, 0.91-0.96]), grade 1 obesity (HR 0.95 [0.88-1.01]), and grades 2 and 3 obesity (HR 1.29 [1.18-1.41]) relative to normal weight. All grades of obesity combined had a HR 1.18 [1.12-1.25]. These results suggested an inflection point where mortality starts increasing. The most striking finding was that compared to normal BMI, being overweight was associated with significantly lower all-cause mortality, most evident in older adults (29). Unfortunately, there is little data evaluating these constructs in developing countries forcing researchers to extrapolate data from developed countries.
Global surveillance of geriatric obesity
The World Health Organization (WHO) oversees the Study on Global Ageing and Adult Health (also referred to as the SAGE survey) that monitors health in older adults. This survey was derived to observe the process of aging and its health effects, and compare aging populations in various countries across the globe. This longitudinal study cohort follows adults 50 years and over in six different countries (China, Ghana, India, Mexico, Russia and South Africa) and provides a comparison to a smaller cohort aged 18 to 49 in those countries. Baseline data was obtained between 2002-2004, and the first wave of new data was extracted between 2007-2010. The second wave of data collection was finished in 2015 and the third and final data wave will be completed in 2017 (37). Variations and comparisons between these countries can be performed to evaluate global trends.
Data from wave 1 indicates that the degree of obesity and other major health risk factors varied significantly by country, but there was a clear trend that the rate of non-communicable disease overall has increased globally, and will continue to increase (38).
The SAGE study also examines six “major” health risk factors: physical inactivity, tobacco use, heavy alcohol consumption, a high-risk waist to hip ratio, hypertension and obesity. This data revealed that the percentage of citizens with at least three of these six risk factors tended to increase with age, although the proportions vary by country (38). With the release of the SAGE wave 1 results, further analysis has been performed to look at variations by country. A study examining the results in South Africa revealed that women were at a much greater risk of developing central obesity compared to men when aged 50 or older (33% of women vs 20% of men). This was true when central obesity was measured both as waist circumference and waist to hip ratio. Examining these trends also showed that in this country, older men were at higher risk of central obesity if they were higher income, had a postgraduate education and were never married (39). Similarly, a recent study reviewing the SAGE data obtained in India showed a higher propensity for central adiposity in women, in those with higher education, from a privileged caste, urban residence and a white-collared occupation (40).
Looking forward in the future
Costs of obesity
The economic impact of our aging population that is developing obesity will continue to grow. Using a nationally representative data set, approximately 9.1% of all medical expenditures in the United States in 1998 were attributable to overweight or obesity and about half of this was financed by public funds (41). In Canada, an entirely publicly funded system, approximately 2.2% of all healthcare costs were attributable to obesity in 2001 (42). It was estimated that 1.2% of total GDP in the U.S. in 2001 was spent towards obesity-related costs. This issue has been observed in other parts of the globe as well, with India incurring roughly the same annual percentage of GDP cost (according to data reported in 1995), and China reporting nearly double the cost of both those countries in 1995 (43).
Future predictions are concerning. Certain authors have predicted that in the United States alone, based on current trends, total healthcare costs related to obesity could be as high as US$ 861 to US$ 957 billion by the year 2030, which would account for 16-18% of all total U.S. health-care costs (44). The United Kingdom (UK) predicts that with their current trend in obesity, there will be a GBP 5.5 billion (US$ 6.9 billion) increase in medical costs to the National Health Service (NHS) by 2050 (45).
Global projections of the obesity epidemic continue to show upward trends (14, 38, 44, 46). It has been suggested that if current patterns continue, there is essentially zero probability of reaching the WHO goal of halting the rise in obesity (46). Obesity is a preventable disease (4), and while its treatment is outside the scope of this epidemiologic review, more effective health promotion interventions are needed for dissemination. While worldwide recognition and acceptance of this epidemic continues to grow, little emphasis has been given to the older adult population with obesity and there are unique factors and challenges that must be understood in its management (47). More specific data in this area related to this population would provide the breadth for effective policy implementation and change. With a growing aging demographic, special attention needs to be paid to this group of patients whose life expectancy continues to increase, and trends in disability rates continue to rise (48). Striving for a healthier lifestyle can compress incident disability (49), leading to a healthier society and a more cost-effective health care system.
We thank Avantika Tankala for her editorial assistance.
Disclaimer: The findings and conclusions in this journal article are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention.