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Journal of the American College of Nutrition, Vol. 23, No. 5, 521S-524S (2004)
Published by the American College of Nutrition

Geographical Variations in Heart Deaths and Diabetes: Effect of Climate and a Possible Relationship to Magnesium

Kay B. Franz, PhD, RD, FACN and Sonia M. Bailey, BS

Department of Nutrition, Dietetics and Food Science, Brigham Young University, Provo, Utah

Address reprint requests to: Kay B. Franz, PhD, RD, FACN, Department of Nutrition, Dietetics and Food Science, Brigham Young University, Provo, UT 84602. E-mail: kay_franz{at}byu.edu


    ABSTRACT
 TOP
 ABSTRACT
 INTRODUCTION
 METHODS
 RESULTS
 REFERENCES
 
Background: Geographical variations in deaths from heart disease and the prevalence of diabetes occur in the United States.

Methods: These geographical variations, by state, were compared to the tertiles of the Z-score (Z-climate) obtained from the mean annual temperature and precipitation, by state, and to the tertiles of the Z-score (Z-environment) obtained from six environmental factors, by state, in monovariant analyses of variance.

Results: Both Z-scores were significantly related to male heart deaths (Z-climate: p = 0.000009; Z-environment: p = 0.000043) with Z-climate being the most significant. Both Z-scores were significantly related to the 1998 prevalence of diabetes (Z-climate: p = 0.00018; Z-environment: p = 0.0059) with the climate again being the most significant.

Conclusions: Increased temperature can increase magnesium sweat losses, which may not be compensated by diet or water intake. Climate relationships to these diseases need further investigation.

Key words: heart disease, heart deaths, diabetes, climate, temperature, precipitation, magnesium


    INTRODUCTION
 TOP
 ABSTRACT
 INTRODUCTION
 METHODS
 RESULTS
 REFERENCES
 
Geographical variations in heart disease deaths and diabetes prevalence occur in the United States. Male heart deaths for men older than 35 years, by state in 1991 to 1995, varied from 428/100,000 to 878/100,000 [1]. These heart death rates were highest in the eastern and southeastern parts of the country, and lowest in the west and Rocky Mountain regions (Fig. 1). These geographical variations have been attributed to health disparities caused by inequalities in the social environment [1].



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Fig. 1. Geographical variations in male heart deaths and prevalence of diabetes in the United States. A. Male heart deaths for those over 35 years, 1991–1995, in tertiles by states: lowest, 492–626; middle, 627–715; and highest, 722–878/100,000. B. Prevalence of diabetes in 1998, in tertiles by states: lowest, 2.8–4.4; middle, 4.5–5.7; highest, 5.8–7.8%. The lowest tertiles are white, the middle tertiles are light grey, and the highest tertiles are dark grey.

 
In 1998, diabetes mellitus prevalence rates, by state with men and women combined and over 18 years of age, varied from 3% to 7.8% [2]. The highest rates of diabetes were found in the southern parts of the country (Fig. 1).

These geographical variations also show a north-south variation besides the western and eastern variations. The northern parts of the United States are colder than the southern parts. Also the western parts of the country usually have less precipitation than the eastern parts. These climate variations were compared to the state death rates from heart disease for males and to the prevalence of diabetes for men and women combined. Environmental factors were also considered.


    METHODS
 TOP
 ABSTRACT
 INTRODUCTION
 METHODS
 RESULTS
 REFERENCES
 
Age-adjusted state death rates for men over the age of 35 were obtained [1]. The total prevalence of diabetes by state was obtained from the Behavioral Risk Factor Surveillance System (BRFSS), Centers for Disease Control in the United States [2]. Both men and women are included in the diabetes data. No adjustments were made for racial or ethnic groups with either set of data.

Six environmental factors were obtained from the 1990 census for each state [3] and included median value of housing units; percentage of households receiving interest, dividend, or net rental income; median household income; percentage of individuals over the age of 25 years who have completed high school; percentage of individuals over the age of 25 years who have completed college; and the percentage of workers employed in executive occupations [4]. A Z-score was calculated for these six environmental factors [4]. The summation of these six Z-scores is called Z-environment.

The yearly temperature and precipitation for the states, from 1990 to 1995, were obtained from the Western Regional Climate Center in the United States [5]. Z-scores were calculated from the temperature and precipitation. The summation of these two Z-scores is called Z-climate.

Temperature and precipitation were not available for Alaska and Hawaii, therefore these states were not included in Z-environment or Z-climate.

Z-scores were compared to the male heart death rates and to the prevalence of diabetes by correlations and also by tertiles of the Z-scores for analysis of variance (ANOVA) using NCSS 6.0 (Kaysville, Utah, USA). Comparisons of the tertiles used the Tukey-Kramer multiple-comparison test with a significance of 0.05.


    RESULTS
 TOP
 ABSTRACT
 INTRODUCTION
 METHODS
 RESULTS
 REFERENCES
 
The correlation of the Z scores with the male heart death rates for the environment (r = –0.5514) and climate (r = 0.6720) were significant (p < 0.0001 for both). The ANOVA of the tertiles of the Z-scores and male heart death rates resulted in both the Z-environment (F = 12.66, p = 0.000043) and Z-climate (F = 15.18, p = 0.000009) being very significant (Fig. 2) with Z-climate being the most significant.



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Fig. 2. Box plots of the tertiles of Z-environment and Z-climate on male heart deaths in the United States. The bottom and top of the box plots are the 25th and 75th percentiles. The median is the horizontal line within the box. The adjacent lines demonstrate the variance of the data. The small circles are mild outliers. Statistical data is from ANOVA. Tertiles with different letters are significantly different (p < 0.05).

 
The correlation of the Z scores to diabetes for the climate (r = 0.6642) was higher than the correlation for the environment (r = –0.4760). The tertiles for Z-scores with diabetes were significant for the Z-environment (F = 5.76, p = 0.00595), but more significant for the Z-climate (F = 10.49, p = 0.00018) (Fig. 3).



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Fig. 3. Box plots of the tertiles of Z-environment and Z-climate on the prevalence of diabetes in the United States. See Fig. 2 for a description of the box plots. Tertiles with different letters are significantly different (p < 0.05).

 

    DISCUSSION
 
Note that the relationship of the Z-environment to both heart death rates and diabetes prevalence is negative, while the relationship of Z-climate is positive. These show that low Z-environmental scores and high Z-climate scores are associated with increased heart death rates and diabetes prevalence.

Increased climate scores are associated with increased temperature and precipitation, which can result in increased sweat losses of sodium (Na), potassium (K), calcium (Ca), and magnesium (Mg). Na and K should be easily compensated by a normal diet. Ca and Mg may not be. Sweat losses of Ca and Mg in a hot, humid environment with exercise were 1.3 mmol and 0.5 mmol/liter, respectively [6]. If two liters of sweat were lost a day, this would result in a loss of 104 mg of Ca and 24 mg of Mg. If 20% of Ca is absorbed, about 500 mg of additional Ca would be needed. If 20% of Mg is absorbed, 120 mg of Mg would be needed. However, for adults in the United States, the average diet Mg content is already about 100 mg less than the 1997 recommended dietary allowance of 420 mg for men and 320 mg for women [7]. These sweat losses could further compromise the already limited Mg intake. Thus climate conditions that increase sweat losses may contribute to Mg deficiency.

Another consideration is that the states with high precipitation usually have low water hardness, which would further limit Ca and Mg intake (unpublished data).

Low serum or plasma Mg has occurred with increased ischemic heart deaths from the National Health and Nutrition Survey II (NHANES II) [8], patients following a myocardial infarction [9], diabetes [10], insulin resistance [11] and was found to be a risk factor for development of type 2 diabetes [12]. Increased sweat losses of Mg may contribute to low serum or plasma Mg.

Increased health risks in some states may be associated with losses of critical minerals that are not compensated by diet or water. Low environmental Z-scores would be associated with low income which could decrease the quality of the food intake and limit both Ca and Mg intake. In addition, a low income would decrease housing options which could increase sweat losses. Therefore, a combination of low Z-environmental scores in combination with high Z-climate scores, could contribute to increased health risks of heart disease or diabetes.

Received August 5, 2004.
    REFERENCES
 TOP
 ABSTRACT
 INTRODUCTION
 METHODS
 RESULTS
 REFERENCES
 

  1. Barnett E, Casper ML, Halverson JA, Elmes GA, Braham VE, Majeed ZA, Bloom AS, Stanley S: "Men and Heart Disease: An Atlas of Racial and Ethnic Disparities in Mortality ," 1st ed. Morgantown, WV: Office for Social Environment and Health Research, West Virginia University,2001 .
  2. Behavioral Risk Factor Surveillance System. Centers for Disease Control. http://apps.nccd.cdc.gov/brfss/.
  3. U. S. Census. (1990 ): Tape File 3 (STF-3). http://factfinder.census.gov/home/saff/main.html?lang=eng.
  4. Diez Roux AV, Merkin SS, Arnett D, Chambless L, Massing M, Nieto FJ, Sorlie P, Szklo M, Tyroler HA, Watson RL: Neighborhood of residence and incidence of coronary heart disease.N Engl J Med345 :99 –106,2001 .[Abstract/Free Full Text]
  5. Western Regional Climate Center. http://www.wrcc.dri.edu/divisional.html.
  6. Shirreffs SM, Maughan RJ: Whole body sweat collection in humans: an improved method with preliminary data on electrolyte content.J Appl Physiol82 :336 –341,1997 .[Abstract/Free Full Text]
  7. Ford ES, Mokdad AH: Dietary magnesium intake in a national sample of US adults.J Nutr133 :2879 –2882,2003 .[Abstract/Free Full Text]
  8. Ford ES: Serum magnesium and ischaemic heart disease: findings from a national sample of US adults.Int J Epidemiol28 :645 –651,1999 .[Abstract/Free Full Text]
  9. Rasmussen HS, Aurup P, Hojberg S, Jensen EK, Mcnair P: Magnesium and acute myocardial infarction. Transient hypomagnesemia not induced by renal magnesium loss in patients with acute myocardial infarction.Arch Intern Med146 :872 –874,1986 .[Abstract]
  10. Tosiello L: Hypomagnesemia and diabetes mellitus. A review of clinical implications.Arch Intern Med156 :1143 –1148,1996 .[Abstract]
  11. Rosolova H, Mayer Jr O, Reaven G: Effect of variations in plasma magnesium concentration on resistance to insulin-mediated glucose disposal in nondiabetic subjects.J Clin Endocrinol Metab82 :3783 –3785,1997 .[Abstract/Free Full Text]
  12. Kao WH, Folsom AR, Nieto FJ, Mo JP, Watson RL, Brancati FL: Serum and dietary magnesium and the risk for type 2 diabetes mellitus: the Atherosclerosis Risk in Communities Study.Arch Intern Med159 :2151 –2159,1999 .[Abstract/Free Full Text]



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