Diet scores and cardio-metabolic risk factors among Guatemalan young adults.

We assessed the association of four diet quality scores with multiple cardio-metabolic outcomes among Guatemalan young adults experiencing the nutrition transition. We obtained cross-sectional dietary, demographic, anthropometric and cardio-metabolic risk factor data from 1220 Guatemalan adults (mean age 32.7 (sd 5.8) years) in 2002-4, and computed a Recommended Food Score (RFS), Not Recommended Food Score (NRFS), Food Variety Score (FVS) and the Dietary Quality Index-International (DQI-I). All four scores were correlated with energy intake (r 0.23-0.49; all P < 0.01), but had varying associations with socio-demographic characteristics, lifestyle factors and nutrient intakes. None of the scores was inversely associated with the metabolic syndrome or its components; rather some were positively associated with risk factors. Among both men and women the DQI-I was positively associated with BMI (kg/m2; beta = 0.10, 95 % CI 0.003, 0.21 (men); beta = 0.07, 95 % CI 0.01, 0.14 (women)) and waist circumference (cm; beta = 0.02, 95 % CI 0.01, 0.03 (men); beta = 0.02, 95 % CI = 0.01, 0.02 (women)). Among men, the RFS was positively associated with TAG (mg/l; beta = 0.11, 95 % CI 0.02, 0.21) and glucose (mg/l; beta = 0.13: 95 % CI 0.03, 0.22). We conclude that indices of diet quality are not consistently associated with chronic disease risk factor prevalence in this population of Guatemalan young adults.

Five-year changes in adiposity and cardio-metabolic risk factors among Guatemalan young adults.

BACKGROUND: Rapidly transitioning societies are experiencing dramatic increases in obesity and cardio-metabolic risk; however, few prospective studies from developing countries have quantified these increases or described their joint relationships. METHODS: We collected dietary, physical activity, demographic, anthropometric and cardio-metabolic risk factor data from 376 Guatemalan young adults in 1997-98 (aged 20-29 years) and in 2002-04 (aged 25-34 years). RESULTS: In total, 42 % of men and 56 % of women experienced weight gain >5 kg in 5 years. Percent body fat (%BF) and waist circumference (WC) increased by 4.2 % points and 5.5 cm among men, and 3.2 % points and 3.4 cm among women, respectively. Five-year increases in both %BF and WC were associated with lower physical activity, urban residence and shorter height among men but not among women (test for heterogeneity P < 0.05 for residence and physical activity). Changes in %BF and WC and concomitant changes in cardio-metabolic risk factors were similar for men and women. In standardised regression, change in %BF was associated with changes in TAG (beta=0.19; 95 % CI 0.08, 0.30), total:HDL cholesterol (beta=0.22; 95 % CI 0.12, 0.33) and systolic (beta=0.22; 95 % CI 0.12, 0.33) and diastolic (beta=0.18; 95 % CI 0.08, 0.28) blood pressure, but not with glucose; associations were similar for WC. CONCLUSIONS: Over 5 years this relatively young population of Guatemalan adults experienced rapid increases in multiple measures of adiposity, which were associated with adverse changes in lipid and blood pressure levels.

Health perceptions and demographic characteristics associated with underassessment of body weight.

OBJECTIVES: To describe the relationship between BMI and perceived weight status and to determine how underassessment of weight status is associated with demographic characteristics, self-reported general health, and perceived health risk in relation to one's body weight. METHODS AND PROCEDURES: In the 2004 Styles surveys, 3,888 US adult participants described their current weight status (underweight, about right, slightly overweight, very overweight), which we compared with self-reported BMI in order to determine concordance. We used multivariable logistic regression to evaluate associations between underassessment of body weight and characteristics of interest. RESULTS: Among persons with a BMI>or=25, women were more likely than men to recognize their overweight status (slightly or very overweight; 93.0% of women vs. 73.5% of men) and the extent to which they were overweight: 70.4% of obese women vs. 49.5% of obese men described themselves as very overweight. Among the overweight and obese of both sexes, disagreement with regard to current weight as a health risk was associated with underassessment of weight. Additional factors associated with underassessment were education and race/ethnicity among overweight women; race/ethnicity among overweight men; household income and self-rated health among obese women; and self-rated health among obese men (P<0.05). DISCUSSION: While most of the obese participants recognized that they were overweight, many of them, particularly among the men, did not realize the extent to which they were overweight. Public health messages may be more effective if they are specifically tailored to target audiences, besides emphasizing the health risks associated with excess body weight.

Perceived health risk of excess body weight among overweight and obese men and women: differences by sex.

OBJECTIVES: To describe perceptions of health risk from excess body weight among adults, and assess if lack of perceived risk was associated with trying to lose weight. METHODS: Sex-specific logistic regression models were used to determine odds of disagreement that one's weight is a health risk and odds of trying to lose weight among overweight (BMI=25.0-29.9 kg/m(2), n=1296) and obese (BMI> or =30 kg/m(2), n=1335) adult participants in the 2004 Styles' surveys. RESULTS: Men were more likely than women to disagree their body weight was a health risk (among the overweight, 62% vs. 43%; the obese 20% vs. 14% obese). Disagreement with risk was associated with good health status and race/ethnicity among both sexes and lower education and income among women. Odds of currently trying to lose weight were significantly lower among obese men who disagreed, and overweight men and women who were neutral or disagreed that their body weight was a health risk. CONCLUSIONS: Many overweight and obese adults do not perceive their weight to be a health risk; this perception was associated with lower prevalence of trying to lose weight, particularly among men. Discussion by clinicians about the health risks of excess weight may alter perceived risk and help promote weight loss efforts.

Detection of cardio-metabolic risk by BMI and waist circumference among a population of Guatemalan adults.

BACKGROUND: BMI and waist circumference (WC) are used to screen for cardio-metabolic risk; however it is unclear how well these indices perform in populations subject to childhood stunting. OBJECTIVES: To evaluate BMI and WC as indicators of cardio-metabolic risk and to determine optimal cut-off points among 1,325 Guatemalan adults (44 % stunted: 162 cm men). METHODS: Cardio-metabolic risk factors were systolic/diastolic blood pressure 85 mmHg, glucose 5 mmol/l, TAG 7 mmol/l, ratio of total cholesterol to HDL-cholesterol 0, and the presence of two or more and three or more of the preceding risk factors. Receiver operating characteristic (ROC) curve analysis was used. RESULTS: Areas under the ROC curve were in the range of 005978 for WC among men and 006472 among women, respectively. Optimal cut-off points for BMI were 242651 kg/m2 stunted; 242656 kg/m2 among women (262769 kg/m2 non-stunted). Optimal cut-off points for WC were 879134 cm stunted; 889333 cm among women (909486 cm non-stunted). CONCLUSION: Optimal cut-off points for BMI were slightly higher among women than men with no meaningful differences by stature. Optimal cut-off points for WC were several centimetres lower for stunted compared with non-stunted men, and both were substantially lower than the current recommendations among Western populations. Cut-off points derived from Western populations may not be appropriate for developing countries with a high prevalence of stunting.

Blood phenylalanine monitoring for dietary compliance among patients with phenylketonuria: comparison of methods.

PURPOSE: Blood phenylalanine monitoring is critical for the management of phenylketonuria. We compared three methods for measuring blood phenylalanine concentration: the amino acid analyzer, high-performance liquid chromatography with fluorometric detection, and tandem mass spectrometry. METHODS: We studied 22 female patients with phenylketonuria, ages 12-48 years, who attended our Metabolic Camp. Blood was collected into heparinized tubes (for analysis by the amino acid analyzer) or filter paper (for analysis by high-performance liquid chromatography with fluorometric detection and tandem mass spectrometry). RESULTS: Blood phenylalanine concentrations of plasma measured by the amino acid analyzer were significantly higher than those obtained from whole blood on filter paper by high-performance liquid chromatography (difference: 102 microM; 95% confidence interval: 23, 181) and tandem mass spectrometry (difference: 137 microM; 95% confidence interval: 58, 216). Phenylalanine concentrations from high-performance liquid chromatography and tandem mass spectrometry were not significantly different (P = 0.5). CONCLUSIONS: When monitoring blood phenylalanine concentrations for dietary compliance, clinicians should be mindful of the method being used; analyses of whole blood on filter paper were consistently approximately 15% lower than analyses of plasma.

Activities contributing to energy expenditure among Guatemalan adults.

BACKGROUND: Guatemala has experienced a substantial increase in overweight and obesity in recent years, yet physical activity patterns and consequent energy expenditure are largely unexplored in this population. METHODS: To describe overall physical activity levels (PAL) and activities contributing to daily energy expenditure, we analyzed time spent in daily activities as reported by 985 women and 819 men, living in rural and urban areas of Guatemala in 2002-04. RESULTS: Physical activity levels recommended to prevent obesity (PAL > or = 1.70) differed by residence/occupation among men (agricultural-rural: 77%; nonagricultural-rural: 36%; urban: 24%; P < 0.01), but not women (rural: 2%; urban: 3%; P = 0.5). Median energy expenditure was higher among agricultural-rural men (44 MET*h/d; MET = metabolic equivalent) compared to nonagricultural-rural (37 MET*h/d) and urban men (35 MET*h/d; P < 0.01); energy expenditure was slightly lower among rural compared to urban women (34 MET*h/d vs. 35 MET*h/d; P < 0.01). Occupation was the largest contributor to energy expenditure (19-24 MET*h/d); among women and nonagricultural-rural and urban men this was primarily of a light intensity. Energy expenditure in sedentary activities ranged from 2 MET*h/d among rural women to 6 MET*h/d among agricultural-rural men. Any sports/exercise time was reported by 35% and 5% of men and women, respectively. Nevertheless, the majority of participants believed they were significantly active to stay healthy. CONCLUSION: Overall, energy expenditure was low in the population not dedicated to agricultural occupations; an increased focus on active leisure-time behaviors may be needed to counterbalance reductions in energy expenditure consequent to sedentarization of primary occupations.

Occupation is more important than rural or urban residence in explaining the prevalence of metabolic and cardiovascular disease risk in Guatemalan adults.

Diet and activity pattern changes consequent to urbanization are contributing to the global epidemic of cardiovascular disease; less research has focused on activity within rural populations. We studied 527 women and 360 men (25-42 y), all rural-born and currently residing in rural or urban areas of Guatemala. We further classified rural male occupations as agricultural or nonagricultural. Overweight status (BMI > or = 25 kg/m(2)) differed by residence/occupation among men (agricultural-rural, 27%; nonagricultural-rural, 44%; and urban, 55%; P< 0.01) and women (rural, 58%; and urban, 68%; P= 0.04). A moderate-to-vigorous lifestyle was reported by 76, 37, and 20% of men (agricultural-rural, nonagricultural-rural, and urban, respectively; P< 0.01); most women were sedentary, with no difference by residence. Prevalence of the metabolic syndrome was 17, 24, and 28% in agricultural-rural, nonagricultural-rural, and urban men, respectively (P= 0.2), and 44 and 45% in rural and urban women (P= 0.4). Dietary variables were largely unassociated with adiposity or cardio-metabolic risk factors; physical activity was inversely associated with the percentage of body fat in men. Percent body fat was inversely associated with HDL-cholesterol, and positively associated with triglycerides, blood pressure, and the metabolic syndrome in both men and women, and with LDL-cholesterol and fasting glucose in women. Differences in physical activity level, mainly attributable to occupation, appear more important than residence, per se, in influencing the risk for cardiovascular disease among men; differences among these sedentary women are likely related to other factors associated with an urban environment.

Physical activity level, dietary habits, and alcohol and tobacco use among young Guatemalan adults.

Physical activity, diet, and alcohol and tobacco use are all related to the development of obesity, diabetes, coronary heart disease, osteoporosis, and cancer. We examined the distribution of measures of these behaviors in a cohort of individuals born in four villages in Guatemala between 1962 and 1977 and who were 26-41 years old in 2003. Response rates to the instruments averaged 80% of cohort members known to be living in Guatemala. Physical activity levels were moderate, and were lowest among migrants to Guatemala City. Dietary habits reflect early phases of the nutrition transition, with high carbohydrate and moderate fat intakes. Migrants to Guatemala City reported higher intakes of meat and of dairy products, while those remaining in or near the original study villages reported higher consumption of tortillas and of vegetables and fruits. One-third of men reported consuming alcohol and 42% were current smokers. Very few women reported alcohol or tobacco use.