Body Mass Index and Mortality Among Hospitalized Patients FREE

THE GRAPHED relationship of body weight to mortality throughout the range of body mass index (weight in kilograms divided by the square of the height in meters [BMI]) has been described as J-shaped, U-shaped, inverse, positive, and even absent.^1- 6 In most population studies, the association between BMI and mortality is described by a U-shaped curve, with augmented risk in the lowest and highest percentiles of the distribution, even when controlling for comorbid disease, age, and smoking.⁷ However, the association between body weight and mortality remains controversial.⁸ In particular, important questions remain about the impact of age on the relationship between overweight conditions and mortality.^9- 11 The third edition of the Dietary Guidelines for Americans¹² has recommended a higher BMI with increasing age. On the contrary, the last edition of analogous weight guidelines¹³ did not include age-specific recommendations.

Recent studies supported the hypothesis that the relative risk of death associated with obesity is lower for older than for younger adults^{10- 11,14- 17} and that optimal weight for longevity may be higher in older people.^18- 20 To evaluate further the risk of death associated with weight and to investigate whether this risk varies according to age, we examined the relationship between BMI and death rates in a large cohort of hospitalized patients.

The present study uses data from a large collaborative observational study group, the Italian Group of Pharmacoepidemiology in the Elderly (Gruppo Italiano di Farmacoepidemiologia nell'Anziano [GIFA]). The methods of the GIFA have been described in detail elsewhere.²¹ We considered all patients consecutively admitted in the 79 participating clinical centers during 5 different surveys in 1988, 1991, 1993, 1995, and 1997 for 13 months overall (N = 20,456). Subsequently, we excluded 1938 patients admitted to the hospital with explicit diagnosis of terminal illness and 202 patients with obesity-related diseases (ie, hypothyroidism, Cushing syndrome, and acromegaly). Procedures were in accordance with guidelines provided by the Catholic University ethical committee; the study was also approved and monitored by the steering committee of the National Research Council of Italy.

For each patient a questionnaire was completed at admission and updated daily by a study physician who received specific training for the study. Data recorded included sociodemographic characteristics such as age, sex, household composition, smoking status, and alcohol intake history; medical variables such as main and coexisting diseases, prescribed medications, physical findings, electrocardiography results, chest radiography findings, and complete blood count; neuropsychological variables; and physical function variables. Comorbidity was measured using the Charlson comorbidity index.²² Cognitive status was assessed with the Hodkinson's Abbreviated Mental Test Examination.²³ Physical function was measured with a 6-item scale of activities of daily living ranging from 0 (independent) to 6 (total dependence).²⁴

Weight and height were measured during the first day of hospitalization according to guidelines by de Groot and van Staveren²⁵ and each measure was repeated 3 times and averaged.²⁶ The BMI was then computed. We categorized BMI as lower than 18.5 kg/m², 18.5 to 21.7 kg/m², 21.8 to 24.9 kg/m², 25.0 to 27.4 kg/m², 27.5 to 29.9 kg/m², 30.0 to 34.9 kg/m², and 35.0 kg/m² or higher. Combinations of these 7 categories are in accordance with the cutoff points proposed by the World Health Organization: a BMI between 18.5 and 24.9 kg/m² defines the normal range; between 25.0 and 29.9 kg/m², mildly overweight; and 30.0 kg/m² or higher, moderately to severely overweight.²⁷

Data were first analyzed by descriptive statistics. Continuous variables are presented as mean values ± SD. Differences in categorical parameters according to age and sex were tested using the Fisher exact test. Differences between continuous variables were assessed by analysis of variance comparisons for normally distributed parameters, or the Kruskal-Wallis test was adopted.

To address whether the relationship between different levels of BMI and mortality were homogeneous in the study population, we used a sex-adjusted Cox proportional hazards regression model stratifying the cohort according to age. Adjustments were made for all possible confounders. Cox models were adjusted for potential risk factors reported at admission: index of comorbidity, physical disability, cognitive impairment, smoking status, and alcohol abuse. Statistical analyses were performed using SPSS software (version 8; 1998, Chicago, Ill).

Table 1 gives the main sociodemographic, medical, and functional characteristics of the patients, according to sex and different age groups. On average, the women were older than the men (71.2 ± 15.8 vs 66.9 ± 16.5 years, respectively). Apart from smoking history and consumption of wine, men and women did not differ in regard to the prevalence of comorbidity and functional and cognitive impairment. On the contrary, among the older patients (>75 years) there was a higher prevalence of comorbidy and a higher level of functional impairment relative to those in the younger groups. The average BMI data are consistent with good nutritional status, and no age or sex differences. However, the stratified distribution of BMI reveals that a severe status of malnutrition (BMI<18.5 kg/m²) occurred quite frequently, with higher prevalence among women than men (7.3% vs 3.8%, respectively).

The overall in-hospital mortality rates were 2.9% (n = 260) and 3.2% (n = 288) for men and women, respectively, and this was not statistically significant (P = .22). Table 2 gives both the crude and adjusted relative risks of death for each of the BMI levels considered in the study. The graphed relationship was hyperbolic, with very little elevation in the highest level of BMI (>35.0 kg/m²) for both men and women. Mortality was lowest among men and women with BMIs from 25.0 through 27.4 kg/m². Multivariate adjustment for other risk factors strengthened the association between severe malnutrition and mortality but did not substantially modify the results.

A comparison of the shapes of the curves for different classes of age is presented in Figure 1. For younger patients (<65 years), the relationship between BMI and mortality was U-shaped, with increased death rates among both the leanest and the heaviest persons. On the contrary, the middle-aged and older patients showed only a slight elevation of death rates in the highest level of BMI (>35.0 kg/m²).

The results of this large observational study suggest that a very low BMI has an important prognostic implication for patients in an acute care setting, independent of age, sex, and other nonnutritional risk factors. On the contrary, the excess mortality associated with highest levels of BMI in younger patients declined considerably with age in all degrees of obesity (BMI >30.0 kg/m²). These data are consistent with previous studies in different settings^{6,9- 11,16,19} that evaluated mortality rates among geriatric populations as a function of BMI. Even when controlling for multiple other potential risk factors, such as comorbidity, smoking, alcohol consumption, and functional and cognitive impairment, the mortality rate among elderly patients was greatest at the lowest BMI and not at the highest BMI rankings.

Our findings suggest that obesity does not qualify as a risk factor in hospitalized older patients, assuming that an obesity-related disease has been excluded. However, the findings of some epidemiological surveys that compared death rates according to BMI across age groups support the hypothesis of important prognostic implications of obesity even in older people.^7,28- 29 Recently, Calle and colleagues⁷ have demonstrated that the risk of death from all causes increases throughout the range of moderately and severely overweight conditions for both men and women in all age groups. Disagreement in specific findings may be ascribed to differences in populations studied, exclusion criteria, risk factors controlled for in the analysis, and cutoff points for categories of BMI.

Some limitations of the present study must be acknowledged. Overall, results from the present study should be considered cautiously, given the relatively low number of events in the younger group (42 deaths) and among those with the highest level of BMI (12 deaths). Second, malnutrition and obesity were quantified by a single measurement of BMI at only 1 time point. This cross-sectional approach to assess the relationship between BMI and mortality does not provide evidence for direct causality. In some patients, weight loss may be the result of an illness that is ultimately fatal, a circumstance that produces the appearance of higher mortality among those with lower BMIs. Furthermore, we had no direct measure of adiposity or of lean body mass, and we had no measure of central adiposity, such as the waist-to-hip ratio. The BMI cannot distinguish adequately between fat mass and lean tissue mass, and it may be a less useful indicator of adiposity among the older patients who have a greater amount of body fat at a given BMI than younger ones because of to age-related declines in muscle mass.³⁰ Finally, a more critical consideration is that patients studied were only those hospitalized, indicating that an acute problem existed. For this reason we are not authorized to extend the results to community-dwelling elderly individuals.

Despite these methodological problems, a comparison of present and previous analyses suggests that treating overweight conditions should be avoided in hospitalized older patients. On the contrary, our findings support the well-established increase in the risk of death associated with malnutrition in all age groups.^{10- 11,16,19,31} Indeed, overweight conditions and obesity are important determinants of mortality among younger and middle-aged patients but not in older patients. Our results complement previous studies indicating that the relative risk associated with greater body weight declines with age.⁹ Obesity increases morbidity, impairs quality of life, and is one of the most important causes of mortality.^32- 33 The evidence makes clear that obesity is a major public health problem in industrialized countries. However, the relationship between body weight and mortality remains controversial in the geriatric population. Our data and those of previous studies support the hypothesis that the optimal weight for longevity may be higher in older people.

Accepted for publication April 4, 2000.

This study was partially supported by grant 94000402 from the National Research Council and by Neopharmed Italia SpA, Rome, Italy.

Corresponding author: Francesco Landi, MD, PhD, Istituto di Medicina Interna e Geriatria, Centro Medicina dell'Invecchiamento, Universitá Cattolica del Sacro Cuore, Largo Agostino Gemelli 8, 00168 Rome, Italy (e-mail: francesco_landi@rm.unicatt.it).