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. 2006 Sep;1(3):275–282. doi: 10.2147/ciia.2006.1.3.275

Body mass index and change in blood pressure over a 7-year period in older Mexican Americans

Luis F Amador 1,2,✉, Soham Al Snih 1,2, Kyriakos S Markides 2,3, James S Goodwin 1,2,3
PMCID: PMC2695178  PMID: 18046881

Abstract

Obesity and hypertension are major public health concerns in the US. We examined the relationship between body mass index (BMI) and blood pressure in older Mexican Americans using data from the Hispanic Established Population for the Epidemiological Study of the Elderly (EPESE), a longitudinal study of Mexican Americans aged 65 and over residing in the southwestern US. The study sample was 2404 older Mexican American adults with a mean age of 72.6 years of age at baseline (1993–4). Both systolic and diastolic blood pressures were higher in subjects with high BMI categories. The rate of change in systolic blood pressure and diastolic blood pressure were −0.11 mm Hg and −0.32 mm Hg per year over a 7-year period, respectively. The rate of decline in systolic and diastolic blood pressure over a 7-year period was greater in subjects with BMI categories of 25–<30 kg/m2 and 30–<35 kg/m2 as compared with those subjects with in the lowest and in the highest BMI categories. Hypertension is one of the most prevalent medical conditions affecting older adults. Understanding possible modifiable risk factors that may play a role in the management of hypertension will be beneficial.

Keywords: aging, hypertension, BMI, Mexican Americans

Introduction

Obesity has become a major health concern in the US (Kuczmarski et al 1994). The prevalence of obesity has continued to rise since the early 1990s and is now estimated to be the second leading cause of preventable death after cigarette smoking in the US (Mokdad et al 1999; Brown et al 2000). Obesity has been associated with a worse quality of life, numerous other medical problems, and higher mortality (Mokdad et al 1999; Yan et al 2004). Obesity has been associated with medical problems such as cardiovascular diseases, type 2 diabetes, gallbladder disease, cancers of several sites, osteoarthritis, hypertension, and hyperlipidemia (Hubert et al 1983; Van Itallie 1985; Pi-Sunyer 1991; Feskens et al 1992). Even though the association between obesity and mortality seems to decline with advancing age, excess weight is still a risk factor for morbidity and mortality in the elderly (Sjostrom 1992; Stevens et al 1998).

An association between obesity and hypertension has been found in both younger and older individuals (Van Itallie 1985). Ischemic heart disease mortality has been related to systolic and diastolic blood pressure (Hubert et al 1983; Bots et al 1991; Benfante et al 1992; Glynn et al 1995). Data from the Framingham study indicate that hypertension and obesity are both risk factors for the development of congestive heart failure, one of the major causes of mortality and morbidity in the older adult (Levy et al 1996; Kenchaiah et al 2002). Even in very old age, blood pressure levels have been associated with cardiovascular diseases (Lewington et al 2002).

One practical indicator of excess weight is the body mass index (BMI). A high BMI has been associated with higher blood pressure (Alpert and Hashimi 1993; Masaki et al 1997; Brown et al 2000). In a cross–sectional study Colin Bell and colleagues (2002) found that higher BMI was associated with a higher prevalence of hypertension in Chinese, non-Hispanic Whites, non-Hispanic Blacks, and Mexican Americans. Further, another study found that even when the BMI is within the normal range of 21 kg/m2 to 24.9 kg/m2, an individual with a high normal BMI is at an increased risk of type 2 diabetes, hypertension, coronary heart disease, and cholelithiasis (Willett et al 1999).

Hypertension in older Mexican Americans is a common problem that is frequently under-treated (Satish et al 1998). Indeed, large numbers of older Mexican Americans are unaware that they have high blood pressure (Satish et al 1997). A high BMI could be a potential modifiable risk factor for hypertension. This study examines the association between BMI and systolic and diastolic blood pressures in older Mexican Americans over a 7-year period.

Methods

Sample and procedures

Data used are from the Hispanic Established Population for the Epidemiological Study of the Elderly (H-EPESE), a longitudinal study of Mexican Americans aged 65 and over, residing in Texas, New Mexico, Colorado, Arizona, and California. The Hispanic EPESE was modeled after previous EPESE conducted in New Haven, East Boston, rural Iowa, and North Carolina (Markides et al 1996, 1999). Subjects were selected from five southwestern states (Texas, California, Arizona, Colorado, and New Mexico) using area probability sampling procedures. The sample and its characteristics have been described elsewhere (Markides et al 1996, 1999). The sampling procedure assured a sample that is generalizable to approximately 500 000 older Mexican Americans living in the southwest (Markides et al 1996, 1999). In-home interviews were conducted in Spanish or English depending on the respondent’s preference. The response rate was 83%, which was comparable with the other EPESE studies (Markides et al 1996, 1999). At the time of the baseline assessment during 1993–1994, 2873 subjects (94.2%) were interviewed in person and 177 (5.8%) were interviewed by proxy. The present study used baseline data (1993–94), data from a 2-year follow-up (1995–96), from a 5-year follow-up (1998–99), and from a 7-year follow-up assessment (2000–2001).

Of the 3050 subjects interviewed at baseline, 313 subjects were excluded due incomplete data on systolic and diastolic blood pressure measures (197 were interviewed by proxy and 116 were refusals), 281 subjects had no weight and height data, and 52 subjects had incomplete data on covariates. Subjects excluded were significantly more likely to be older, to have ever had a heart attack, a stroke, higher number of physician visits, and to have been hospitalized compared with those included in the study. Thus, the analysis sample consisted of 2404 subjects with complete data on weight, height, blood pressure at baseline, and complete data on all covariates. At end of the 7-year follow-up (2000–2001), 1403 subjects were re-interviewed, 105 subjects refused to be re-interviewed, 242 subjects were lost to follow-up, and 654 subjects were confirmed dead through the National Death Index (NDI) and reports from relatives.

Measures

Body mass index

Anthropometric measurements were collected in the home using the methods and instructions employed in other EPESE studies (Markides et al 1996, 1999). Height was measured using a tape placed against the wall. Weight was measured using a calibrated Metro 9800 measuring scale. The BMI was computed by dividing weight in kilograms by height in meters squared (kg/m2). BMI was grouped according to the National Institutes of Health (NIH) obesity standards (<18.5 kg/m2 = underweight; 18.5–24.9 kg/m2 = normal weight; 25.0–29.9 kg/m2 = overweight; 30.0–34.9 kg/m2 = obesity category I; 35.0–39.9 kg/m2 = obesity category II; and ≥40.0 kg/m2 = extreme obesity (NIH 1998).

Blood pressure

Blood pressures were measured by standard mercury sphygmomanometer after the subject was comfortably seated using an appropriate cuff size. Two sitting blood measures were taken for each subject with a 60-sec interval between the two according to the standard protocol used in the third National Health and Nutrition Examination (Burt et al 1995). All of the interviewers underwent a 3-day special training in the use of a standardized protocol for measurement of blood pressure. Satisfactory performance on both a standardized videotape test and a live performance on volunteer subjects was a requirement for completion of the training. Interviewers were required to review the training videotape monthly and to undergo retraining at each follow-up. An average systolic and diastolic blood pressure was calculated for each subject.

Covariates

Baseline sociodemographic variables included age, gender, marital status, and years of formal education. We assessed the presence of medical conditions by asking if respondents had ever been told by a doctor that they had hypertension, diabetes, heart attack, or stroke. Subjects with self-reported hypertension were also asked if they were currently taking any medication for high blood pressure. Self-reported hypertension was categorized as no hypertension, hypertension with current treatment, and hypertension without current treatment. Waist circumference was measured at the level of the umbilicus with the subject standing. The measurement, taken with a non-stretchable measuring tape, was done over no more than one layer of outer clothing and recorded in centimeters to the nearest millimeter. A waist circumference in women >88 cm and >102 cm in men was considered high (NIH 1998). Smoking status was assessed by asking subjects whether they were a current smoker or not. Physician utilization was assessed by the following question: “How many times in the past 12 months have you visited with a medical doctor?” Hospital utilization was assessed by the following question: “Did you experience an illness or injury that required staying overnight or longer in a hospital in the last year?”

Analysis

Analysis of variance and post hoc Tukey test was used to examine the distribution of systolic and diastolic blood pressure by age and BMI categories at baseline. General linear mixed model using the MIXED procedure in SAS program was used to test the relationship between repeated measures of BMI and blood pressure (systolic and diastolic) over a 7-year period while adjusting for age, gender, education, marital status, smoking status, waist circumference, medical conditions (hypertension with and without treatment, diabetes, heart attack, and stroke), and healthcare use (physician visits and hospitalization). Time was treated as a continuous variable. All the variables were analyzed as time-dependent covariates (potential to change as time progresses) except variables of age, gender, and education.

Three mixed models were constructed to test the relationship between BMI and blood pressure over a 7-year period. Model 1 included age, gender, years of formal education, marital status, BMI, and time. In model 2, an interaction term – BMI categories × time – were added to estimate the effect of BMI categories on the rate of change on blood pressure (slope) over time. The time interaction represents the estimated effect of BMI on the rate of the change in systolic and diastolic blood pressures. In model 3, smoking status, waist circumference, medical conditions, and health care use were added.

The mixed model was chosen for several reasons. First, the model best accounted for missing or incomplete observations and makes it possible to use all available information. Second, it allowed for modeling of time-dependent change in the variables (BMI, systolic and diastolic blood pressure, among others) as well as time-dependent change in the magnitude of association between variables. Finally, because the H-EPESE study contains repeated measures over seven years, mixed models allow more flexibility in modeling the effects of time on outcomes (Liang and Zeger 1986; Zeger and Liang 1986). All analyses were performed using the SAS System for Windows, Version 9.1.3 (SAS Institute, Cary, NC).

Results

Table 1 presents descriptive characteristics of the sample at baseline. The study sample of 2404 older Mexican American adults had a mean age of 72.6 years with 58.2% being female and 55.7% being married. The mean years of formal education was 4.9. The mean BMI was 27.8 kg/m2. Less than 2% of the subjects (42) had a BMI <18.5 kg/m2, 40% of the subjects (972) had a BMI of 25–<30 kg/m2, and 29.9% (718) had a BMI of ≤30 kg/m2. The mean of systolic and diastolic blood pressures were 134.6±Standard Deviation (SD) of 15.9 mm Hg and 80.4±10.5 mm Hg, respectively. Self-reported hypertension (41.1%), diabetes (23.8%), and stroke (10.4%) were the most prevalent medical conditions. More than 70% of females and 40% of males had a high abdominal circumference.

Table 1.

Descriptive characteristic of the sample at baseline (N=2404)

Explanatory variables N (%)
Age, mean±SD 72.6±6.3
Gender
  Female 1400 (58.2)
  Male 1004 (41.8)
Marital status (married) 1339 (55.7)
Education (years) 4.9±3.9
BMI
  <18.5 42 (1.8)
  18.5–<25 672 (27.9)
  25–<30 972 (40.4)
  30–<35 509 (21.1)
  35–<40 155 (6.5)
  ≥40 54 (2.3)
BMI, man±SD (kg/m2) 27.8±5.2
Abdominal circumference
  Female (>88 cm) 1050 (75)
  Male (>102 cm) 406 (40.4)
Current smoker 308 (12.8)
Hypertension
  With treatment 806 (34.8)
  Without treatment 146 (6.3)
Systolic blood pressure, mean±SD (mm Hg) 134.6±15.9
Diastolic blood pressure, mean±SD (mm Hg) 80.4±10.5
Diabetes 571 (23.8)
Heart attack 249 (10.4)
Stroke 123 (5.1)
Number of physician visits, mean±SD 5.4±4.6
Hospitalization (Yes) 426 (17.7)
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Abbreviations: BMI, body mass index, SD, standard deviation.

Figure 1 shows mean systolic and diastolic blood pressures by years of follow-up. The mean systolic and diastolic blood pressures at baseline were 135 mm Hg and 80.4 mm Hg, respectively, and 132 mm Hg and 77.1 mm Hg by the end of the 7-years of follow-up (p<0.0001 for both systolic and diastolic blood pressures).

Figure 1.

Figure 1

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Mean systolic and diastolic blood pressures by years of follow-up (N=2404).

Note: p value for systolic blood pressure <0.0001; p value for diastolic blood pressure <0.0001.

Figure 2 shows average mean systolic and diastolic blood pressures over a 7-year period by age categories at baseline. Average mean systolic blood pressure by age categories at baseline were not statistically different during the follow-up period. The range of average mean systolic blood pressure was 135.3 mm Hg for those between the ages of 65 to 70 years of age to 134.1 mm Hg for those 80 years old and older. The range of average mean diastolic blood pressure was 79.7 mm Hg for the group 65 to 70 years of age to 76.4 mm Hg for those 80 year old and older (p<0.0001 for both systolic and diastolic blood pressures).

Figure 2.

Figure 2

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Average mean systolic and diastolic blood pressures over a 7-year period by age categories at baseline (N=2404).

Note: p value for systolic blood pressure = 0.28; p value for diastolic blood pressure <0.0001.

Figure 3 shows average mean of systolic and diastolic blood pressures over a 7-year period by BMI categories at baseline. Both mean systolic and diastolic blood pressures were significantly higher as BMI category increases (p-value<0.0001). The average mean systolic blood pressure ranges from 127.6 mm Hg for subjects with a BMI <18.5 mm Hg to 136.3 mm Hg to 136.3 mm Hg for subjects with a BMI ≥40. The average mean diastolic blood pressure ranges from 73.5 mm Hg for subjects with a BMI <18.5 mm Hg to 79.9 mm Hg for subjects with a BMI ≥40.

Figure 3.

Figure 3

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Average mean systolic and diastolic blood pressures over a 7-year period by body mass index (BMI) categories at baseline (N=2404).

Note: p value for systolic blood pressure <0.0001; p value for diastolic blood pressure <0.0001.

Table 2 presents the general linear mixed model estimates for systolic blood pressure (mm Hg) as a function of BMI categories at baseline over a 7-year period. In model 1, the rate of change in systolic blood pressure was −0.26 mm Hg per year. There was a significant association at each time point of follow-up between BMI categories and systolic blood pressure, after controlling for age, time, gender, marital status, and years of formal education. We found that the higher the BMI, the greater the systolic blood pressure. Model 2 tests for the interaction between BMI and time of follow-up (slope of systolic blood pressure over time). The time-interaction represents the estimated effect of BMI on the rate of the change in systolic blood pressure. There were significant interactions in subjects with a BMI of 25 kg/m2 <30 kg/m2 and a BMI of 30 kg/m2 <35 kg/m2 indicating that subjects with these BMI categories had a significantly greater decline in systolic blood pressure over time compared with those in the lowest and in the highest BMI categories. In model 3, after controlling for all covariates, the interaction terms remained statistically significant (estimate=−0.36, SE=0.17, p<0.01 and estimate=−0.52, SE=0.20, p<0.01, respectively). Other factors such as being female, being married, higher levels of education, heart attack, and being hospitalized in the year prior to the interview were significantly associated with a decline in systolic blood pressure. A prior diagnosis of hypertension with or without treatment was significantly associated with increases in systolic blood pressure.

Table 2.

General linear mixed models estimates for systolic blood pressure (mm Hg) as a function of BMI categories at baseline over 7-year period among older Mexican Americans (N=2404)

Explanatory variables Model 1 Estimate (SE) Model 2 Estimate (SE) Model 3 Estimate (SE)
Intercept 139.67 (3.33)* 138.85 (3.34)* 137.60 (3.31)*
Time −0.26 (0.07)* 0.006 (0.13) −0.11 (0.13)
Age (At baseline) −0.05 (0.04) −0.05 (0.04) −0.05 (0.04)
Gender (Female) −0.83 (0.53) −0.83 (0.53) −1.72 (0.55)†
Marital Status (Married) −1.56 (0.52)† −1.56 (0.52)† −1.51 (0.50)†
Education (years) −0.12 (0.06)‡ −0.13 (0.06)‡ −0.13 (0.06)‡
BMI (kg/m2)
  <18.5 −4.45 (1.54)† −4.63 (2.27)‡ −5.52 (2.29)‡
  18.5–<25 Reference Reference Reference
  25–<30 1.89 (0.53)† 2.98 (0.71)* 2.35 (0.73)†
  30–<35 2.58 (0.63)* 4.05 (0.83)* 3.15 (0.89)†
  35–<40 3.96 (0.93)* 4.20 (1.26)† 2.94 (1.31)‡
  ≥40 5.87 (1.50)* 5.57 (1.99)† 3.23 (2.01)
BMI of <18.5 * time −0.002 (0.49) 0.23 (0.50)
BMI of 18.5–<25 * time Reference Reference
BMI of 25–<30 * time −0.39 (0.17)‡ −0.36 (0.17)‡
BMI of 30–< 35 * time −0.54 (0.20)† −0.52 (0.20)‡
BMI of 35–< 40 * time −0.10 (0.30) −0.02 (0.31)
BMI of ≥40 * time 0.13 (0.48) 0.29 (0.49)
Abdominal circumference (cm) 0.12 (0.57)
Current smoker −0.12 (0.71)
Hypertension
  Without treatment 7.39 (0.93)*
  With treatment 6.27 (0.49)*
Diabetes 0.52 (0.53)
Heart attack −3.32 (0.75)*
Stroke −0.96 (0.94)
Number of physician visits −0.05 (0.05)
Any hospitalization −1.56 (0.54)†
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Abbreviations: BMI, body mass index; SE, standard error of mean.

Notes:

*

p value <0.0001;

†

p value <0.001;

‡

p value <0.01.

Table 3 presents the general linear mixed model estimates for diastolic blood pressure (mm Hg) as a function of BMI categories at baseline over a 7-year period. In model 1, the rate of change in diastolic blood pressure was −0.55 mm Hg per year. There was a significant association at each time point of follow-up between BMI categories and diastolic blood pressure, after controlling for age, time, gender, marital status, and years of formal education. We found that the higher the BMI, the greater the diastolic blood pressure. Model 2 tests for the interaction between BMI and time of follow-up (slope of diastolic blood pressure over time). The time-interaction represents the estimated effect of BMI on the rate of the change in diastolic blood pressure. There were significant interactions for subjects with a BMI of 25 kg/m2 <30 kg/m2, BMI of 30 kg/m2 <35 kg/m2, and BMI of 35 kg/m2 <40 kg/m2 (estimate=−0.35, SE=0.12, p<0.001, estimate=−0.46, SE=0.13, p<0.001, and estimate=−0.46, SE=−0.21, p<0.01, respectively), indicating that subjects with these BMI categories had a significantly greater decline in diastolic blood pressure over time when compared with those in the lowest and in the highest BMI categories. In model 3, after controlling for all covariates, the interaction terms that remained statistically significant were for a BMI of 25 kg/m2 <30 kg/m2 and a BMI of 30 kg/m2 <35 kg/m2. Other factors such as older age, being female, being a current smoker, heart attack, diabetes, stroke, and being hospitalized in the past year were significantly associated with a decline in diastolic blood pressure. Self-reported hypertension with or without treatment and high abdominal circumference were significantly associated with increases in diastolic blood pressure.

Table 3.

General linear mixed models estimates for diastolic blood pressure (mm Hg) as a function of BMI categories at baseline over 7-year period among older Mexican Americans (N=2404)

Explanatory variables Model 1 Estimate (SE) Model 2 Estimate (SE) Model 3 Estimate (SE)
Intercept 96.75 (2.17)* 96.01 (2.18)* 96.99 (2.23)*
Time −0.55 (0.05)* −0.28 (0.09)† −0.32 (0.09)†
Age (At baseline) −0.23 (0.03)* −0.23 (0.03)* −0.24 (0.03)*
Gender (Female) −1.55 (0.35)* −1.57 (0.35)* −2.36 (0.37)*
Marital Status (Married) −0.58 (0.34) −0.58 (0.34) −0.57 (0.34)
Education (years) −0.03 (0.04) −0.03 (0.04) −0.04 (0.04)
BMI (kg/m2)
  <18.5 −0.96 (1.02) 0.09 (1.48) 0.32 (1.52)
  18.5–<25 Reference Reference Reference
  25–<30 1.42 (0.35)* 2.38 (0.47)* 1.91 (0.49)*
  30–<35 2.15 (0.42)* 3.37 (0.55)* 2.61 (0.59)*
  35–<40 2.41 (0.61)* 3.63 (0.83)* 2.76 (0.87)†
  ≥40 4.24 (0.98)* 4.91 (1.31)† 3.76 (1.33)†
BMI of <18.5* time −0.37 (0.33) −0.42 (0.33)
BMI of 18.5–< 25* time Reference Reference
BMI of 25–<30* time −0.35 (0.12)† −0.32 (0.12)†
BMI of 30–<35* time −0.46 (0.13)† −0.45 (0.14)†
BMI of 35–<40* time −0.46 (0.21)‡ −0.37 (0.21)
BMI of ≥40* time −0.25 (0.32) 0.21 (0.33)
Abdominal circumference (cm) 1.17 (0.38)†
Current smoker −1.33 (0.48)†
Hypertension
  Without treatment 3.11 (0.61)*
  With treatment 1.75 (0.32)*
Diabetes −1.62 (0.36)*
Heart attack −1.19 (0.50)‡
Stroke −1.69 (0.62)†
Number of physician visits −0.03 (0.03)
Any hospitalization −1.02 (0.36)†
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Abbreviations: BMI, body mass index; SE, standard error of mean.

Note: *p value <0.0001;

†

p value <0.001;

‡

p value < 0.01.

The major findings of this study were first, the rate of change in systolic blood pressure was −0.11 mm Hg per year and the rate of change in diastolic blood pressure was −0.32 mm Hg per year after controlling for all covariates. Second, both systolic and diastolic blood pressures were higher in subjects with high BMI categories at each time of follow-up and the higher the BMI the greater systolic and diastolic blood pressures. Third, the rate of decline in systolic and diastolic blood pressure over a 7-year period was greater in subjects with BMI categories of 25 kg/m2–<30 kg/m2 and 30 kg/m2–<35 kg/m2 compared with those in the lowest and in the highest BMI categories.

Discussion

Our findings are consistent with previous studies on the relationship between BMI and blood pressure (Pi-Sunyer 1993; Masaki et al 1997; Brown et al 2000; Colin Bell et al 2002). High BMI in middle aged adults has been associated with increased blood pressure and coronary artery disease (Pi-Sunyer 1993; Masaki et al 1997; Brown et al 2000; Colin Bell et al 2002). A cross–sectional study by Colin Bell and colleagues (2002) examining ethnic differences in the strength of the association between BMI and hypertension found that higher BMI was associated with a higher prevalence of hypertension in four ethnic groups including Mexican Americans. A study by Masaki and colleagues (1997) found in a cross-sectional analysis of 1348 elderly Japanese American men and women aged 60 to 82 that BMI was associated with systolic and diastolic blood pressure after adjusting for multiple variables. In the present study we found that systolic and diastolic blood pressures were significantly higher in subjects with higher BMI at each time point of follow-up.

One possible explanation for the higher systolic and diastolic blood pressures with higher BMI in older Mexican Americans may be metabolic changes caused by high body weight in this population. The association between obesity and high blood pressure has been recognized for decades, but the underlying mechanism is still poorly understood (Antic et al 2003). Some of the possible pathways for obesity to induce hypertension are sympathetic activation with vasoconstriction, endothelial dysfunction, and positive sodium balance causing a rise in blood pressure (Antic et al 2003).

We also found a significant yearly decrease of systolic and diastolic blood pressure in our study group. Previous studies have shown that diastolic blood pressure tends to decrease after ages 60–75 (Landahl et al 1986; Franklin et al 1997). Landahl and colleagues (1986) found in a sample of 2550 subjects an increase in the mean systolic blood pressure for those 50 to 70 years of age and a moderate decrease in the mean systolic blood pressure after the early 70’s.

However, Franklin and colleagues (1997) found that systolic blood pressure continues increasing at least into the early 80s’ in a sample of 2036 subjects. Our study group is much older with a mean age of 72 at the beginning of the study. This age difference could be one factor of why the findings from this study are different from those of Landahl et al (1986). Franklin et al (1997) excluded subjects with apparent coronary artery disease or those receiving antihypertensive therapy at baseline or before the study began. Their subjects in general have less risk factors for cardiovascular diseases and this may explain the different findings in systolic blood pressure. Also, other possible explanations for decline in systolic blood pressure in our study over time might be changes in dietary habits, changes in subject’s physician practices (blood pressure management), and changes in activity level. However, these possible explanatory factors were not available in our study.

Several longitudinal and cross-sectional studies have shown that systolic and/or diastolic blood pressures decline in older age (Langer et al 1993; Tervahauta et al 1994; Hakala and Tilvis 1998; Satish et al 2001). For example, Langer and colleagues (1993) studying subjects aged 75 years and older in Rancho Bernardo, California found that 55% of the subjects had >−5 mm Hg diastolic blood pressure decrease over eleven years. Another study by Satish and colleagues (2001) using a prospective cohort of 9696 community dwelling persons aged 65 years and older found that falling systolic and diastolic blood pressure was common among older adults and was a marker for declining health.

Some of the proven benefits of weight loss for obese individuals are decreased blood pressure in hypertensive patients (Stevens et al 1993), improvements in the lipid profile, and decreased insulin resistance, among others (Weinstock et al 1998). A review of the major hypertension treatment trials in the elderly demonstrated a statistically significant decrease in the occurrence of congestive heart failure as a result of treatment for three to five years (Moser and Hebert 1996). Despite these positive advances, the benefits of hypertension treatment and the ideal blood pressure in the very old are not clear at this time.

Our study has some limitations. First, blood pressure was measured two times, 1 minute apart, on a single occasion. This might have reduced the precision on an individual’s blood pressure. However, findings from the Framingham study and a meta-analysis of nine prospective epidemiological studies have shown that blood pressure measurement on a single occasion will predict future stroke and coronary heart disease as well as a series of blood pressure measurements does (Kannel et al 1970; Gordon et al 1991; Collins and MacMahon 1994). Second, we were limited to self-reports of medical conditions. Third is the potential bias inherent in using follow-up survivor subjects. Thus, our study sample may represent the healthier subjects. Our study has several strengths including its large community-based sample, its prospective design, and its exploration of potential factors affecting blood pressure in older Mexican Americans, a rapidly growing segment of the older population in the US. Another important strength of our study is the use of mixed models, an analytic approach that allowed the use of all available data and evaluation of time-dependent effects.

In conclusion, we found a significant higher systolic and diastolic blood pressure in subjects with higher BMI categories and a significant decrease in both systolic and diastolic blood pressure after controlling for multiple variables. Hypertension is one of the most prevalent medical conditions affecting older adults. Understanding possible modifiable risk factors that may play a role in the management of hypertension will be beneficial. Further, studies addressing the benefits of weight reduction in hypertensive older adults need to be conducted.

Acknowledgments

This study was supported by grants, AG10939 and AG17638, from the National Institute on Aging, USA, and in part by the UTMB Center for Population Health and Health Disparities –5P50CA105631. The Bureau of Health Professions’ Geriatric Academic Career Award 1 K01 HP 00056-01 supports Dr Amador’s work.

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