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Healthy eating patterns associated with acculturation, sex and BMI among Mexican Americans

Published online by Cambridge University Press:  22 December 2016

Belinda Reininger*
Affiliation:
University of Texas Health Science Center at Houston, School of Public Health, Brownsville Regional Campus, One West University Blvd, RAHC, Brownsville, TX 78520, USA Michael & Susan Dell Center for Healthy Living, UT School of Public Health, Austin Regional Campus, Austin, TX, USA University of Texas Health Science Center at Houston, Center for Clinical and Translational Sciences, Houston, TX, USA
MinJae Lee
Affiliation:
University of Texas Health Science Center at Houston, Houston, TX, USA Michael & Susan Dell Center for Healthy Living, UT School of Public Health, Austin Regional Campus, Austin, TX, USA
Rose Jennings
Affiliation:
University of Texas Health Science Center at Houston, School of Public Health, Austin Regional Campus, Austin, TX, USA University of Texas Health Science Center at Houston, Center for Clinical and Translational Sciences, Houston, TX, USA
Alexandra Evans
Affiliation:
University of Texas Health Science Center at Houston, School of Public Health, Austin Regional Campus, Austin, TX, USA University of Texas Health Science Center at Houston, Center for Clinical and Translational Sciences, Houston, TX, USA
Michelle Vidoni
Affiliation:
University of Texas Health Science Center at Houston, School of Public Health, Brownsville Regional Campus, One West University Blvd, RAHC, Brownsville, TX 78520, USA Michael & Susan Dell Center for Healthy Living, UT School of Public Health, Austin Regional Campus, Austin, TX, USA
*
*Corresponding author: Email Belinda.M.Reininger@uth.tmc.edu
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Abstract

Objective

Examine relationships of healthy and unhealthy dietary patterns with BMI, sex, age and acculturation among Mexican Americans.

Design

Cross-sectional. Participants completed culturally tailored Healthy and Unhealthy Eating Indices. Multivariable mixed-effect Poisson regression models compared food pattern index scores and dietary intake of specific foods by BMI, sex, age and acculturation defined by language preference and generational status.

Setting

Participants recruited from the Cameron County Hispanic Cohort study, Texas–Mexico border region, between 2008 and 2011.

Subjects

Mexican-American males and females aged 18–97 years (n 1250).

Results

Participants were primarily female (55·3 %), overweight or obese (85·7 %), preferred Spanish language (68·0 %) and first-generation status (60·3 %). Among first-generation participants, bilingual participants were less likely to have a healthy eating pattern than preferred Spanish-speaking participants (rate ratio (RR)=0·79, P=0·0218). This association was also found in males (RR=0·81, P=0·0098). Preferred English-speaking females were less likely to consume healthy foods than preferred Spanish-speaking females (RR=0·84, P=0·0293). Among second-generation participants, preferred English-speaking participants were more likely to report a higher unhealthy eating pattern than preferred Spanish-speaking participants (RR=1·23, P=0·0114). Higher unhealthy eating patterns were also found in females who preferred English v. females who preferred Spanish (RR=1·23, P=0·0107) or were bilingual (RR=1·26, P=0·0159). Younger, male participants were more likely to have a higher unhealthy eating pattern. BMI and diabetes status were not significantly associated with healthy or unhealthy eating patterns.

Conclusions

Acculturation, age, sex and education are associated with healthy and unhealthy dietary patterns. Nutrition interventions for Mexican Americans should tailor approaches by these characteristics.

Type
Research Papers
Copyright
Copyright © The Authors 2016 

The study of dietary patterns and their effects on health outcomes is novel( Reference Hu 1 Reference Liese, Krebs-Smith and Subar 4 ) and is beginning to show that specific unhealthy and healthy dietary patterns identified from FFQ are associated with( Reference Kerver, Yang and Bianchi 5 Reference Shikany, Safford and Newby 7 ) and predict( Reference Hu, Rimm and Stampfer 8 , Reference Varraso, Chiuve and Fung 9 ) modulation of biomarkers for chronic disease( Reference Kerver, Yang and Bianchi 5 Reference Bertoia, Triche and Michaud 10 ). The US Healthy People 2020 guidelines for disease prevention recommend following a heart-healthy dietary pattern that includes fruits, vegetables, whole grains, low-fat dairy and lean proteins, and engaging in physical activity to maintain a healthy weight( 11 ). These same guidelines also recommend avoiding a pattern of unhealthy food consumption that includes foods high in saturated fats and trans-fats, cholesterol, added sugars and sodium( 11 ). However, dietary behaviours vary greatly by racial/ethnic population( Reference Huijbregts, Feskens and Rasanen 12 Reference Smyth, Dehghan and O’Donnell 18 ), BMI( Reference Janssen, Katzmarzyk and Boyce 14 Reference Wiley, Cloutier and Wakefield 19 ) and sex( Reference Xu, Qiao and Huang 20 Reference Wardle, Haase and Steptoe 22 ), and the examination of healthy and unhealthy dietary patterns deserves further attention, particularly among fast-growing populations facing health disparities associated with obesity.

As the demographic distribution of race and ethnicity changes in the American population, inequalities in health-related outcomes among certain population groups, including Mexican-American populations, are becoming pronounced. For example, obesity-related health disparities are prevalent among Hispanics nationwide, especially Mexican Americans( Reference Dominguez, Penman-Aguilar and Chang 23 ), and overweight and obesity prevalence rates for Mexican-American women have already surpassed the US 2020 projections( Reference Wang, Beydoun and Liang 24 ). Among US adults aged 20 years or older, 69 % of all racial and ethnic groups were found to be overweight or obese (BMI ≥25·0 kg/m2), while 80 % of Mexican Americans were found to be overweight or obese (BMI≥25·0 kg/m2)( Reference Flegal, Carroll and Kit 25 ). Along the US–Mexico border, exacerbated rates of obesity and obesity-related co-morbidities such as type 2 diabetes and heart disease have been identified( Reference Fisher-Hoch, Rentfro and Salinas 26 ).

In addition to the high overweight and obesity rates in Mexican-American populations, researchers have also found shifting patterns of healthy and unhealthy eating among Mexican Americans born in the USA or Mexico and Mexicans born in Mexico. Mexican Americans born in the USA report greater intakes of foods high in saturated fat and sugar and less consumption of the traditional Mexican diet compared with Mexicans born in Mexico( Reference Batis, Hernandez-Barrera and Barquera 27 ). This information indicates that compared with the US diet, the traditional Mexican diet may be lower in saturated fat and sugar. US-born Mexican Americans also show increased consumption of carbohydrates and total energy intake compared with Mexican Americans studied in the mid-20th century( Reference Smith, Ng and Popkin 28 ). Mexican-American populations born in Mexico report consuming more fruits and vegetables compared with Mexican Americans born in the USA. Additionally, Mexican Americans who speak only or mostly English report consuming more fast foods, pizza, non-homemade meals and meals at sit-down restaurants relative to Spanish speakers( Reference Langellier, Bookmeyer and Wang 29 ). And generally, while healthier dietary intake is found among Mexicans living in Mexico, obesity rates in Mexico and the USA lead all other nations worldwide( Reference Ebbeling, Pawlak and Ludwig 30 ).

While some information may suggest that the traditional Mexican diet is lower in saturated fat and sugar compared with the typical US diet, other sources suggest different alternatives, leading to inconsistencies in research findings. For example, some research indicates that Mexicans’ dietary choices include high intakes of refined foods, sweets and animal products, particularly among the overweight and obese( Reference Flores, Macias and Rivera 31 ). Additionally, most Mexicans do not meet recommendations for basic food groups such as fruits, vegetables and legumes( Reference Rivera, Pedraza and Aburto 32 ). A recent study also found that if a Mexican woman was of lower economic status and had lived in the USA, she reported more unhealthy food choices such as hamburgers( Reference Bojorquez, Unikel and Cortez 33 ). In general, it appears that across populations of Mexican descent, there is a shift towards greater consumption of unhealthy foods.

To better understand the unique burden of disease among Mexican-American populations, researchers have reviewed the associations between acculturation and dietary eating patterns; however, the association seems to be complex. Acculturation is generally understood as the transitioning process of merging and adapting social patterns and traits including food choices when individuals, groups and populations have prolonged contact – even across generations – with another culture( Reference Schwartz, Unger and Zamboanga 34 ). Despite the absence of a gold standard to measure acculturation, commonly used proxy measures include language preference and generational status. Research findings have been consistent in showing that acculturation, including when it is measured as generational status defined by birthplace only( Reference Schwartz, Unger and Zamboanga 34 Reference Chaparro, Langellier and Wang 37 ), and language preference( Reference Ahluwalia, Ford and Link 38 , Reference Montez and Eschbach 39 ) or language preference only( Reference Reininger, Wang and Fisher-Hoch 40 ), is significantly associated with dietary patterns and BMI levels. With regard to generational status, research indicates that second- and third-generation Mexicans compared with recent immigrants consume fewer fruits, which account for a healthy diet. Also, less healthy dietary behaviours such as the consumption of sweetened beverages and fast foods have been found to be more common among native-born Mexicans compared with first-generation immigrants( Reference Creighton, Goldman and Pebley 41 ). While immigrants with the lowest levels of acculturation are often the healthiest, the association between high acculturation and poor diet has been observed to be stronger for males( Reference Gorman, Read and Krueger 42 ). Another study that examined generational differences in dietary quality among Mexican-born mothers and children based on the US Department of Agriculture’s Healthy Eating Index found that the mean Healthy Eating Index score for Mexican-born women who migrated to the USA was approximately 6 points higher than that of Mexican-American mothers born in the USA( Reference Dondero and Van Hook 43 ). Other studies have also observed that Mexican Americans who were less acculturated, defined by language use and country of birth, reported higher frequency of fruit and vegetable consumption than individuals who were more acculturated( Reference Aldrich and Variyam 44 ). At the same time Liu et al. found that greater acculturation, as measured by generation status and language preference, was significantly associated with unhealthy dietary patterns and a higher BMI after controlling for sociodemographic factors, health, dietary intake, physical activity and sedentary behaviours( Reference Liu, Chu and Frongillo 45 ).

Few researchers have examined how gender roles may influence dietary consumption in Mexican-American households. Within marriage relationships, many Mexican Americans adhere to gender roles of ‘marianismo’ where women are self-sacrificing and nurturing and ‘machismo’ where men are self-reliant and dominant over women( Reference McLoyd, Cause and Takeuchi 46 ). With adherence to such roles, women’s job duties are associated with household tasks like meal preparation and raising children and men’s job duties are outside the home( Reference Lam, McHale and Updegraff 47 ). One qualitative study focused on Mexican-American mothers and their role as the primary food preparers (cooking, shopping and meal planning) in the home. These women learned to cook from female family members through observation and kept traditional Mexican food items in their homes as staples; several reported low cooking self-efficacy because they considered meals prepared by other maternal family members better tasting than their own, but not healthier. The women reported making some changes to recipes (like replacing lard) to make them healthier but also incorporating more American-style dishes such as macaroni and casseroles as well as fast foods to please their families( Reference Smith, Dunton and Pinard 48 ).

Differences by sex in dietary patterns have been found in other cultural groups including Chinese( Reference Xu, Qiao and Huang 20 ), Tanzanian( Reference Abioye, Isanaka and Liu 49 ), other international populations( Reference Wardle, Haase and Steptoe 22 ) and Mexican-American men with gallbladder disease( Reference Tseng, DeVellis and Maurer 50 ), but results from these studies have limited applicability to Mexican-American men and women when cultural differences and specific diseases are taken into consideration. For example, although dietary patterns were found within a sex for one study (i.e. Mexican-American men with gallbladder disease and those who did not have it), no differences were seen between sexes( Reference Tseng, DeVellis and Maurer 50 ). Furthermore, there are studies that explicitly examined dietary patterns by sex within Mexican populations( Reference Dixon, Sundquist and Winkleby 35 , Reference Aldrich and Variyam 44 ); however, some do not represent current dietary food patterns and have sex comparison limitations because the dietary patterns of both sexes were not included in the sample( Reference Guendelman and Abrams 51 ). Although many studies have assessed the impact of food acculturation on dietary patterns by generation, they are limited in assessing a clear understanding of how food acculturation affects the diets in multiple Mexican-American populations( Reference Batis, Hernandez-Barrera and Barquera 27 ). Further characterization of eating patterns among Mexican-American men and women from regions where obesity is prevalent are warranted. In addition to acculturation and sex, age is another factor associated with dietary differences as there is an indication that older generations report healthier eating patterns compared with younger generations; however, this indication has been found only in women( Reference Guendelman and Abrams 51 ).

Despite consistent findings in studies linking dietary patterns to health outcomes, little is known about the dietary patterns of adult Mexican Americans where acculturation is measured by both language preference and generational status. The purpose of the present study was to address this gap and examine the relationship of dietary patterns with BMI categories and acculturation levels as defined by language preference and generational status, age, education and sex among Mexican Americans living along the US–Mexico border. The hypothesis is that participants who have a higher BMI, report English language preference and third-generation status, are younger, less educated and male will have more unhealthy dietary patterns.

Methods

Participants

A cross-sectional sample of 1250 Mexican-American adults were selected from the ongoing, randomly recruited Cameron County Hispanic Cohort located in a four-county area along the Texas–Mexico border. This sample population was chosen as an appropriate population to study due to its similar cultural reflection of the Mexican-American communities in the USA. Cohort participants were recruited from randomly selected households to eliminate selection bias towards existing disease or concurrent infectious diseases. Overall, 71 % of households approached elected to participate, but more did so in the lower socio-economic status stratum compared with the higher socio-economic status stratum (78 v. 63 %, P=0·03)( Reference Fisher-Hoch, Rentfro and Salinas 26 ). The cross-sectional sample of cohort members for the current study was enrolled between 2008 and 2011, and reported both measures of acculturation.

Data collection and management

Following door-to-door recruitment, participants were asked to visit the cohort study’s clinical research unit where behavioural surveys were conducted via interviews, medical data were collected and clinical examinations took place. Bilingual nurses and community health workers highly trained in Good Clinical Practice based on federal regulations for clinical research trials conducted all visits in the participant’s preferred language (Spanish or English). A gift card incentive was provided to participants. Each participant was assigned a unique ID and his/her data was recorded in a secured database. This study was approved by the Committee for the Protection of Human Subjects at the University of Texas Health Science Center at Houston, which is based in this region, and written informed consent was obtained from each participant.

Measures

Dietary patterns

Participants completed a dietary intake survey that assessed ‘yesterday’s’ consumption of twenty commonly eaten foods. In accordance with the low education levels of this population, the survey was constructed from items from the 4th-grade School Physical Activity & Nutrition (SPAN) survey, a valid and reliable instrument for 4th-grade students in Texas( Reference Perez, Hoelscher and Brown 52 , Reference Hoelscher, Day and Lee 53 ). The survey was tailored to include common traditional Mexican foods such as tortillas, refried beans and chorizo (a Mexican pork sausage) eaten by adults based on qualitative input from Mexican-American adult participants. An evaluation of the psychometric properties of the adult version of SPAN for Mexican-American adults (SPAN MAA) found the instrument had fair to moderate agreement with a multiple-pass 24 h dietary recall interview for males and females, indicating acceptable level of validity of the instrument.

The dietary patterns were determined through the Healthy/Unhealthy Eating Indices and were based on previous work examining factor structures using the SPAN survey( Reference Valazquez, Pasch and Ranjit 54 ). Participants self-reported the number of times they ate foods listed on the index the day before. Healthy Eating Index (baked/grilled fish or poultry, beans, eggs, fruit, fruit juice, orange vegetables, other vegetables, salad, wholegrain breads and wholegrain cereals) and the Unhealthy Eating Index (baked goods, French fries/chips, fried meat, frozen desserts, red and processed meats, non-chocolate candy, regular sodas, sweetened drinks/sports drinks and white bread). In the later version of the survey, baked fish and baked poultry were collected separately; whereas in the early versions of the survey they were aggregated. The Healthy Eating Index score for each participant was comprised of responses to the ten items measuring healthy foods with a possible response range of 0 to 50. The Unhealthy Eating Index score for each participant was comprised of the responses to the nine items measuring unhealthy foods with a possible range of 0 to 45. These non-negative numeric scores for the Healthy and Unhealthy Eating Indices were analysed as continuous variables.

Acculturation

Studies have commonly used measures of language preference( Reference Marin and Gamba 55 , Reference Anderson, Zhao and Daniel 56 ) and generational status( Reference Liu, Chu and Frongillo 45 ) to assess acculturation. We also used these measures in the present study. The Bidimensional Acculturation Scale for Hispanics (BAS)( Reference Marin and Gamba 55 ) was used to measure language preference in different settings and with different people. This scale has previously been validated for Mexican Americans and used in recent studies( Reference Marin and Gamba 55 , Reference Anderson, Zhao and Daniel 56 ). The four items assessed measure preferred language with regard to: (i) reading and speaking in general; (ii) speaking at home; (iii) thinking; and (iv) speaking with friends. The response options of the scale were: (i) ‘only Spanish’; (ii) ‘both equally’ English and Spanish; and (iii) ‘only English’. The mean across the four survey items was taken. Participants with scores ≤2·50 were considered to prefer Spanish. Participants with scores between 2·50 and 3·49 were considered to be bilingual and those with scores ≥3·50 were considered to prefer English.

The second measure used to assess acculturation was generational status, which was based on nativity self-reported by participants for themselves and their parents. Nativity was categorized by first, second and third generation. Participants were categorized as first generation if the participant was not born in the USA and at least one parent was also not born in the USA. Participants who were born in the USA but had at least one parent not born in the USA were classified as second generation. Participants born in the USA with both parents born in the USA were classified as third generation. Definition of these generational categories aligns with previous studies for Mexican-American populations( Reference Liu, Chu and Frongillo 45 ).

BMI and age

Height and weight measurements were obtained following the standard protocol for the Cameron County Hispanic Cohort described elsewhere( Reference Fisher-Hoc, Vatcheva and Rahbar 57 ). Two measurements for weight and height were taken for each participant. Using the average of the two measurements, BMI was calculated using the formula: [weight (kg)]/[height (m)]2. A BMI within the range of 25·0–29·9 kg/m2 was defined as overweight and a BMI ≥30·0 kg/m2 was defined as obese( 58 ). Age at visit within the range of 18 and 97 years was categorized into quartiles.

Education

Educational attainment was dichotomized as either greater than 8 years of education, or equal to or less than 8 years of education.

Diabetes status

Diabetes was directly measured using glycated Hb (HbA1c) tests and interpreted according to Cameron County Hispanic Cohort protocols( Reference Fisher-Hoc, Vatcheva and Rahbar 57 ) that are based on the 2010 American Diabetes Association definition of diabetes, which added the diagnostic tool of the HbA1c test with a reading of greater than or equal to 6·5 %( 59 ).

Statistical analysis

Survey-weighted means and standard deviations of the number of times healthy and unhealthy items were eaten on the previous day were calculated and compared for participants across sex, age, education level, BMI, diabetes status, language preference and generation status. Data were weighted to census data and corrected for sampling bias by socio-economic status, age, sex, census tract or block, and household clustering( Reference Fisher-Hoch, Rentfro and Salinas 26 ). To evaluate differences in healthy and unhealthy food patterns by language preference and generational status, multivariable mixed-effect Poisson regression models that accounted for the correlations among observations within/between multiple cluster levels were conducted while controlling for potential confounders such as BMI, age, sex, education and diabetes. The multivariable mixed-effect Poisson regression models were conducted to show an association by generation and language preference and each of the Healthy Eating Index and Unhealthy Eating Index separately after controlling for sex, age, education, BMI and diabetes status. Interaction effects with language preference were also examined that allowed for estimation of the association between language preference and food choices at each of the generation levels and sex. All analyses were performed using the statistical software package SAS version 9.3 at a statistical significance level of 0·05.

Results

Participant characteristics

Of the 1250 Mexican Americans in the sample, the majority was female (55·3 %), 48·4 % were aged 49 years or older, 72·0 % reported having completed 8 years or more of education, and almost a quarter (24·7 %) had diabetes. The majority of the sample was either overweight (35·3 %) or obese (50·4 %), reported Spanish language preference (68·0 %) and first-generation status (60·3 %; Table 1).

Table 1 Demographics of the sample of Mexican-American adults aged 18–97 years from the Cameron County Hispanic Cohort study (n 1250), Texas–Mexico border region, 2008–2011

* Eleven US-born participants who had no information on either of two parents’ nativity were coded in the second generation.

Seven non-US-born participants who had both US-born parents were coded in the third generation.

No information on participants’ birthplace or non-US-born participants who had no information on two parents’ nativity.

Effects of BMI and sex on dietary patterns

BMI was not significantly associated with the Healthy or Unhealthy Eating Index, but was related to certain healthy and unhealthy food items (Table 2). There were slight but significant differences in the reported times that other vegetables were consumed by overweight participants compared with underweight or normal-weight and obese participants (overall P=0·0340). Underweight or normal-weight and overweight participants reported eating wholegrain cereals significantly more often than obese participants (overall P=0·0281). Also, obese participants consumed red and processed meats significantly more often (overall P=0·0140), while underweight or normal-weight participants consumed sweetened drinks/sports drinks significantly more often (overall P=0·0035).

Table 2 Dietary intake of specific foods by sex and BMI among the sample of Mexican-American adults aged 18–97 years from the Cameron County Hispanic Cohort study (n 1250), Texas–Mexico border region, 2008–2011

* Baked foods were collected differently in different versions of survey: BAKEGRILL (Versions 1 and 2); BAKEFISH and BAKEPOUL (Version 3 only).

Egg consumption data were captured only in Version 3.

Hamburger meat/hot dogs/chorizo/meat/bacon/ribs.

The sex of a participant was not significantly associated with the Healthy Eating Index but was significantly associated with certain healthy foods (Table 2). Males consumed eggs (P=0·0007) and wholegrain breads (P=0·0045) more often, while females consumed salad (P=0·0364) and wholegrain cereal (P=0·0013) more often. Sex was significantly associated with the Unhealthy Eating Index (P<0·0001). Specifically, males consumed French fries/chips (P=0·0047), fried meat (P<0·0001), red and processed meats (P<0·0001), regular sodas (P<0·0001), sweetened drinks/sports drinks (P=0·0004) and white breads (P<0·0001) significantly more often compared with females.

Effects of acculturation on dietary patterns

Acculturation as measured by language preference and generational status was significantly associated with both Healthy and Unhealthy Eating Indices (overall P<0·0001 and 0·0007, respectively, for Healthy; both overall P<0·0001 for Unhealthy; Table 3). Participants preferring Spanish language consumed healthy foods significantly more often and unhealthy foods significantly less often than bilingual or English-preference participants. In comparison to English-preference and bilingual participants, participants preferring Spanish consumed the following foods significantly more often: beans, fruit, and whole grain breads. English-preference participants consumed other vegetables significantly more often in comparison to bilingual and Spanish-preference participants. Similarly, when looking at food items on the Unhealthy Eating Index, Spanish- preference participants consumed French fries/chips, red and processed meats, and white breads less often but regular sodas more often than English-preference and bilingual participants (all P<0·05).

Table 3 Dietary intake of specific foods by acculturation, as measured by language preference and generational status, among the sample of Mexican-American adults aged 18–97 years from the Cameron County Hispanic Cohort study (n 1250), Texas–Mexico border region, 2008–2011

Pairwise comparisons with P<0·05: aEnglish v. Spanish, second v. first generation; bbilingual v. Spanish, third v. first generation; cEnglish v. bilingual, third v. second generation.

* Baked foods were collected differently in different versions of survey: BAKEGRILL (Versions 1 and 2); BAKEFISH and BAKEPOUL (Version 3 only).

‡Egg consumption data were captured only in Version 3.

‡Hamburger meat/hot dogs/chorizo/meat/bacon/ribs.

First-generation participants consumed beans and fruit significantly more often in comparison to second- and third-generation participants. Second-generation participants consumed French fries/chips significantly more often than first- or third-generation, red and processed meats more often than first-generation, and white breads more often than first- or third-generation participants (all P<0·05).

Multivariable analyses

The multivariable models showed an association between acculturation (measured by language preference) and the Healthy and Unhealthy Eating Indices by different levels of generation and sex after controlling for age, education, BMI and diabetes status (Table 4). For first-generation individuals, those who were bilingual were significantly less likely to have a higher Healthy Eating Index (rate ratio (RR)=0·79; 95 % CI 0·65, 0·97) compared with participants with a Spanish language preference. Bilingual males were significantly less likely to have a higher Healthy Eating Index (RR=0·81; 95 % CI 0·69, 0·95) compared with male participants who preferred Spanish. Females who preferred English were significantly less likely to have a higher Healthy Eating Index (RR=0·84; 95 % CI 0·73, 0·98) compared with female participants with a Spanish language preference. Also, participants aged over 35 years were significantly more likely to report a higher Healthy Eating Index, with participants aged 60 years or older reporting the highest likelihood (RR=1·21; 95 % CI 1·11, 1·33) compared with participants aged less than 35 years. Individuals with more than 8 years of education were more likely to report a higher Healthy Eating Index (RR=1·09; 95 % CI 1·02, 1·16) compared with those with fewer than 8 years of education.

Table 4 Factors associated with healthy and unhealthy food choices based on multivariable analysis among the sample of Mexican-American adults aged 18–97 years from the Cameron County Hispanic Cohort study (n 1250), Texas–Mexico border region, 2008–2011

RR, rate ratio; ref., reference category.

In regard to the Unhealthy Eating Index, among second-generation participants, those who preferred English were significantly more likely (RR=1·23; 95 % CI 1·05, 1·45) to report a higher Unhealthy Eating Index compared with participants who preferred Spanish language. Among females, those who preferred English were significantly more likely to report a higher Unhealthy Eating Index compared with females who preferred Spanish (RR=1·23; 95 % CI 1·05, 1·44) or who were bilingual (RR=1·26; 95 % CI 1·04, 1·51). Participants who reported a higher Unhealthy Eating Index were less likely to be aged 49–59 years (RR=0·87; 95 % CI 0·79, 0·96) or 60 years or older (RR=0·73; 95 % CI 0·66, 0·81) compared with those who were 35 years old or younger.

Discussion

The present study shows that acculturation, sex and age are significantly related to both healthy and unhealthy food choices. Our findings indicate that Mexican Americans who are less acculturated with the US culture (as measured via language preference and generation status) were more likely to report consuming food items on the Healthy Eating Index and not on the Unhealthy Eating Index. Other studies have found similar results where individuals who are less acculturated to the USA are more likely to prepare and eat healthier foods( Reference McLoyd, Cause and Takeuchi 46 Reference Guendelman and Abrams 51 ). Our study also extended previous research by examining how generational status and language preference, and sex and language preference interact with regard to healthy and unhealthy dietary patterns. For healthy food patterns, we found across multiple generational statuses and language preferences that Spanish-speaking individuals were more likely to report consuming foods on the Healthy Eating Index compared with bilingual or English-preference speakers and higher consumption in the Spanish preference group compared with bilingual was statistically significant in first-generation individuals. We also found that men who preferred Spanish language v. those with bilingual language preference and women who preferred Spanish language v. those with English language preference reported consuming foods on the Healthy Eating Index. For the unhealthy food pattern, we found across multiple generational statuses and language preferences that there was a tendency of higher consumption of unhealthy foods in the English preference group compared with bilingual or Spanish language preferences, but only second-generation participants who preferred English were significantly more likely to consume foods on the Unhealthy Eating Index than those with Spanish language preference. When we examined the interaction of language preference and sex, we found that females who preferred English compared with those who were bilingual or preferred Spanish were statistically more likely to report consuming foods on the Unhealthy Eating Index. While additional studies have examined sex differences regarding food consumption( Reference Bandini, Vu and Must 60 , Reference Isasi, Ayala and Sotres-Alvarez 61 ), our study is one of the first to report these differences among Mexican Americans. The specificity we provide regarding language preference, generational status and sex by reported food pattern among Mexican Americans sheds further light on the acculturation process for those of Mexican descent to the US culture and its negative influence on healthy and unhealthy food choices.

As such, there is a need for future research to more fully understand the influence of gender roles in the acculturation process and dietary choices as our study focused on quantitative associations only. Healthy, Spanish-speaking, first-generation individuals demonstrated higher Healthy Eating Index scores. Males who preferred Spanish had a higher Healthy Eating Index compared with bilingual males. Females who preferred Spanish had a higher Healthy Eating Index than females who preferred English. Our findings indicate that women and men who prefer Spanish or who report being first generation report eating healthier food items. Qualitatively it may be worth exploring if meals such as breakfast and dinner are being prepared by women and are healthier than those prepared by their more acculturated counterparts. Also, it could be that lunch and snacks consumed by men are purchased outside the home since only females who are bilingual or prefer Spanish reported avoiding unhealthy foods in our study. Exploring to what extent traditional Mexican gender roles of ‘marianismo’ and ‘machismo’ may influence the dietary patterns found in the current study seems warranted. Future intervention programmes may need to account for gender roles by acculturation level when creating and improving nutrition programmes for Mexican-American populations.

Age was significantly associated with dietary patterns, where older individuals demonstrated a greater likelihood of consuming foods on the Healthy Eating Index and of not consuming foods on the Unhealthy Eating Index. Despite our hypothesis regarding an association of high BMI and dietary patterns, BMI and diabetes status were not significantly associated with consuming foods on the Healthy Eating Index or Unhealthy Eating Index.

Overall, our findings suggest the need for intervention programmes that take into account language preferences, generational status, age and sex when working with similar Mexican-American sub-populations regardless of BMI levels or diabetes status. Language preference, for example, could be fittingly addressed by practitioners targeting nutrition education with programmes conducted by Spanish-speaking and English-speaking community health workers. Other studies have achieved measurable success in improving dietary behaviours of Mexican Americans through these types of intervention( Reference Reininger, Barroso and Mitchell-Bennett 62 Reference Wilson, Brown and Bastida 67 ). The differences in eating patterns by generational status found in the present study also suggest a need for more research on interventions tailored to meet the needs of populations in different stages of the acculturation process. Some interventions, for example, have successfully promoted traditional Mexican foods, including beans, fruit and wholegrain breads, as a way to increase healthy food choices( Reference Lindberg, Stevens and Vega-Lopez 66 , Reference Wilson, Brown and Bastida 67 ) – a method that could benefit this study population and other similar Mexican-American populations experiencing acculturation. At the same time, any interventions promoting the traditional Mexican diet must recognize that today’s Mexican diet is also undergoing negative changes( Reference Barquera, Hernandez-Barrera and Campos-Nonato 68 ) and not all traditional Mexican foods contain healthy ingredients( Reference Smith, Dunton and Pinard 48 ). Thus, any suggestions to return to the traditional Mexican diet should ensure that health promotion messages clearly define foods included in the diet.

Strengths and limitations

There are limitations to consider regarding the findings of the current study. These data were collected through self-report and therefore are subject to recall bias. The cross-sectional design limits the breadth of the study findings to one point in time and causality cannot be implied. On the other hand, the study includes a large and representative sample size, which increases the confidence of the study results. Brief FFQ have been shown to be good measures of food intake in research among Mexican Americans( Reference Wakimoto, Block and Mandel 69 Reference Amadou, Degoul and Hainaut 71 ); however, healthy and unhealthy eating indices vary and often include more food items than the indices used herein.

The BAS was used to measure language preference. Although the reliability for the scale was not assessed and the acculturation measure used in the current study was originally tested years ago, the concepts assessed by the tool remain relevant and aligned to more recently developed acculturation tools( Reference Gorman, Read and Krueger 42 ) as they all measure use of language in various domains (media, health status and cultural awareness) and with different types of people( Reference Wallace, Pomery and Latimer 72 ). It is likely that some foods commonly consumed along the US–Mexico border were not included in the survey. The results therefore are limited to the dietary patterns consisting of the culturally tailored and commonly eaten food categories in the Texas–Mexico border region and aligned with the most recent dietary guidelines measured in the SPAN MAA. The latter survey is also limited in examining quantity of consumption of food items listed on each index. This may be a reason why BMI and diabetes status were not significantly associated with healthy and unhealthy food indices.

New contributions to the literature

Study results magnify the complexity of modifying nutritional behaviours for the Mexican-American population’s transition to the US culture. The study suggests a need for interventions to effectively impact dietary patterns of Mexican Americans through customized nutrition education in light of language preference, generational status, age and sex.

Acknowledgements

Acknowledgements: The authors thank the cohort team, particularly Rocío Uribe and her team, who recruited and documented the participants; and the intervention team who contributed to the data collection and refining of the SPAN MAA. They also thank Israel Hernández and his team for data management; Marcela Morris and other laboratory staff for their contributions; Christina Villarreal and Norma Pérez-Olazarán for administrative support; and the Valley Baptist Medical Center in Brownsville for housing our Clinical Research Unit. The authors also would like to thank the participants for their willingness to graciously give of their time for this research endeavour. Financial support: This work was supported by funding from the National Center on Minority Health and Health Disparities (NCMHD); the Michael and Susan Dell Center for Healthy Living at the University of Texas School of Public Health; and the Center for Clinical and Translational Sciences (CCTS) (grant number MD000170 P20), which is funded mainly by the National Institutes of Health (NIH) Centers for Translational Science Award (NIH CTSA) (grant number UL1 RR024148) from the National Center for Research Resources (NCRR). NCMHD, CCTS and NCRR had no role in the design, analysis or writing of this article. Conflict of interest: None. Authorship: B.R., M.L., R.J. and A.E. conceptualized the study and formulated the research questions. B.R., R.J. and A.E. directed data collection. M.L. conducted statistical analyses and drafted the analysis section. B.R. drafted the manuscript. M.L., S.F., R.J., A.E. and M.V. assisted in drafting the manuscript. All authors read and approved the final manuscript. Ethics of human subject participation: This study was conducted according to the guidelines laid down in the Declaration of Helsinki and all procedures involving human subjects/patients were approved by the Committee for the Protection of Human Subjects at the University of Texas Health Science Center at Houston. Written informed consent was obtained from all subjects/participants.

References

1. Hu, FB (2002) Dietary pattern analysis: a new direction in nutritional epidemiology. Curr Opin Lipidol 13, 39.CrossRefGoogle ScholarPubMed
2. Reedy, J, Krebs-Smith, SM, Miller, PE et al. (2014) Higher diet quality is associated with decreased risk of all-cause, cardiovascular disease, and cancer mortality among older adults. J Nutr 144, 881889.Google Scholar
3. Harmon, BE, Boushey, CJ, Shvetsov, YB et al. (2015) Associations of key diet-quality indexes with mortality in the Multiethnic Cohort: the Dietary Patterns Methods Project. Am J Clin Nutr 101, 587597.Google Scholar
4. Liese, AD, Krebs-Smith, SM, Subar, AF et al. (2015) The Dietary Patterns Methods Project: synthesis of findings across cohorts and relevance to dietary guidance. J Nutr 145, 393402.CrossRefGoogle ScholarPubMed
5. Kerver, JM, Yang, EJ, Bianchi, L et al. (2003) Dietary patterns associated with risk factors for cardiovascular disease in healthy US adults. Am J Clin Nutr 78, 11031110.CrossRefGoogle ScholarPubMed
6. McNaughton, SA, Mishra, GD, Stephen, AM et al. (2007) Dietary patterns throughout adult life are associated with body mass index, waist circumference, blood pressure, and red cell folate. J Nutr 137, 99105.CrossRefGoogle ScholarPubMed
7. Shikany, JM, Safford, MM, Newby, PK et al. (2015) Southern dietary pattern is associated with hazard of acute coronary heart disease in the Reasons for Geographic and Racial Differences in Stroke (REGARDS) Study. Circulation 132, 804814.Google Scholar
8. Hu, FB, Rimm, EB, Stampfer, MJ et al. (2000) Prospective study of major dietary patterns and risk of coronary heart disease in men. Am J Clin Nutr 72, 912921.Google Scholar
9. Varraso, R, Chiuve, SE, Fung, TT et al. (2015) Alternate Healthy Eating Index 2010 and risk of chronic obstructive pulmonary disease among US women and men: prospective study. BMJ 350, h286.CrossRefGoogle ScholarPubMed
10. Bertoia, ML, Triche, EW, Michaud, DS et al. (2014) Mediterranean and Dietary Approaches to Stop Hypertension dietary patterns and risk of sudden cardiac death in postmenopausal women. Am J Clin Nutr 99, 344351.Google Scholar
11. US Department of Health and Human Services (2014) Healthy People 2020. http://www.cnpp.usda.gov/sites/default/files/dietary_guidelines_for_americans/PolicyDoc.pdf (accessed November 2015).Google Scholar
12. Huijbregts, P, Feskens, E, Rasanen, L et al. (1997) Dietary pattern and 20 year mortality in elderly men in Finland, Italy, and The Netherlands: longitudinal cohort study. BMJ 315, 1317.Google Scholar
13. Trichopoulou, A, Lagiou, P, Kuper, H et al. (2000) Cancer and Mediterranean dietary traditions. Cancer Epidemiol Biomarkers Prev 9, 869873.Google Scholar
14. Janssen, I, Katzmarzyk, PT, Boyce, WF et al. (2005) Comparison of overweight and obesity prevalence in school-aged youth from 34 countries and their relationships with physical activity and dietary patterns. Obes Rev 6, 123132.Google Scholar
15. Satija, A, Hu, FB, Bowen, L et al. (2015) Dietary patterns in India and their association with obesity and central obesity. Public Health Nutr 18, 30313041.Google Scholar
16. Iqbal, R, Anand, S, Ounpuu, S et al. (2008) Dietary patterns and the risk of acute myocardial infarction in 52 countries: results of the INTERHEART study. Circulation 118, 19291937.CrossRefGoogle ScholarPubMed
17. Safdar, NF, Bertone-Johnson, ER, Cordeiro, L et al. (2015) Dietary patterns and their association with hypertension among Pakistani urban adults. Asia Pac J Clin Nutr 24, 710719.Google ScholarPubMed
18. Smyth, A, Dehghan, M, O’Donnell, M et al. (2015) Healthy eating and reduced risk of cognitive decline: a cohort from 40 countries. Neurology 84, 22582265.Google Scholar
19. Wiley, JF, Cloutier, MM, Wakefield, DB et al. (2014) Acculturation determines BMI percentile and noncore food intake in Hispanic children. J Nutr 144, 305310.Google Scholar
20. Xu, SH, Qiao, N, Huang, JJ et al. (2016) Gender differences in dietary patterns and their association with the prevalence of metabolic syndrome among Chinese: a cross-sectional study. Nutrients 8, 180.CrossRefGoogle ScholarPubMed
21. Leblanc, V, Begin, C, Corneau, L et al. (2015) Gender differences in dietary intakes: what is the contribution of motivational variables? J Hum Nutr Diet 28, 3746.Google Scholar
22. Wardle, J, Haase, AM, Steptoe, A et al. (2004) Gender differences in food choice: the contribution of health beliefs and dieting. Ann Behav Med 27, 107116.Google Scholar
23. Dominguez, K, Penman-Aguilar, A, Chang, MH et al. (2015) Vital signs: leading causes of death, prevalence of disease and risk factors, and use of health services among Hispanics in the United States – 2009–2013. MMWR Morb Mortal Wkly Rep 64, 469478.Google Scholar
24. Wang, Y, Beydoun, MA, Liang, L et al. (2008) Will all Americans become overweight or obese? Estimating the progression and cost of the US obesity epidemic. Obesity (Sliver Spring) 16, 23232330.Google Scholar
25. Flegal, KM, Carroll, MD, Kit, BK et al. (2012) Prevalence of obesity and trends in the distribution of body mass index among US adults, 1999–2010. JAMA 307, 491497.Google Scholar
26. Fisher-Hoch, SP, Rentfro, AR, Salinas, JJ et al. (2010) Socioeconomic status and prevalence of obesity and diabetes in a Mexican American community, Cameron County, Texas, 2004–2007. Prev Chronic Dis 7, A53.Google Scholar
27. Batis, C, Hernandez-Barrera, L, Barquera, S et al. (2011) Food acculturation drives dietary differences among Mexicans, Mexican Americans, and non-Hispanic whites. J Nutr 141, 18981906.CrossRefGoogle ScholarPubMed
28. Smith, LP, Ng, S & Popkin, B (2013) Trends in US home food preparation and consumption: analysis of national nutrition surveys and time use studies from 1965–1966 to 2007–2008. Nutr J 12, 45.Google Scholar
29. Langellier, BA, Bookmeyer, R, Wang, MC et al. (2015) Language use affects food behaviours and food values among Mexican-origin adults in the USA. Public Health Nutr 18, 264274.Google Scholar
30. Ebbeling, CB, Pawlak, DB & Ludwig, DS (2002) Childhood obesity: public-health crisis, common sense cure. Lancet 360, 473482.Google Scholar
31. Flores, M, Macias, N, Rivera, M et al. (2010) Dietary patterns in Mexican adults are associated with risk of being overweight or obese. J Nutr 140, 18691873.Google Scholar
32. Rivera, JA, Pedraza, LS, Aburto, TC et al. (2016) Overview of the dietary intakes of the Mexican population: results from the national health and nutrition survey 2012. J Nutr 146, 18511855.Google Scholar
33. Bojorquez, I, Unikel, C, Cortez, I et al. (2015) The social distribution of dietary patterns. Traditional, modern and healthy eating among women in a Latin American city. Appetite 92, 4350.Google Scholar
34. Schwartz, SJ, Unger, JB, Zamboanga, BL et al. (2010) Rethinking the concept of acculturation: implications for theory and research. Am Psychol 65, 237.Google Scholar
35. Dixon, LB, Sundquist, J & Winkleby, M (2000) Differences in energy, nutrient, and food intakes in a US sample of Mexican-American women and men: findings from the Third National Health and Nutrition Examination Survey, 1988–1994. Am J Epidemiol 152, 548557.Google Scholar
36. Duffey, KJ, Gordon-Larsen, P, Ayala, GX et al. (2008) Birthplace is associated with more adverse dietary profiles for US-born than for foreign-born Latino adults. J Nutr 138, 24282435.CrossRefGoogle ScholarPubMed
37. Chaparro, MP, Langellier, BA, Wang, MC et al. (2015) Effects of parental nativity and length of stay in the US on fruit and vegetable intake among WIC-enrolled preschool-aged children. J Immigr Minor Health 17, 333338.CrossRefGoogle ScholarPubMed
38. Ahluwalia, IB, Ford, ES, Link, M et al. (2007) Acculturation, weight, and weight-related behaviors among Mexican Americans in the United States. Ethn Dis 17, 643649.Google Scholar
39. Montez, JK & Eschbach, K (2008) Country of birth and language are uniquely associated with intakes of fat, fiber, and fruits and vegetables among Mexican-American women in the United States. J Am Diet Assoc 108, 473480.CrossRefGoogle ScholarPubMed
40. Reininger, BM, Wang, J, Fisher-Hoch, SP et al. (2016) Non-communicable diseases and preventive health behaviors: a comparison of Hispanics nationally and those living along the US–Mexico border. BMC Public Health 15, 564.CrossRefGoogle Scholar
41. Creighton, MJ, Goldman, N, Pebley, AR et al. (2012) Durational and generational differences in Mexican immigrant obesity: is acculturation the explanation? Soc Sci Med 75, 300310.Google Scholar
42. Gorman, BK, Read, JNG & Krueger, PM (2011) Gender, acculturation, and health among Mexican Americans. J Health Soc Behav 51, 440457.Google Scholar
43. Dondero, M & Van Hook, J (2016) Generational status, neighborhood context, and mother–child resemblance in dietary quality in Mexican-origin families. Soc Sci Med 150, 212220.CrossRefGoogle ScholarPubMed
44. Aldrich, L & Variyam, JN (2000) Acculturation erodes the diet quality of US Hispanics. Food Rev 23, 5155.Google Scholar
45. Liu, JH, Chu, YH, Frongillo, EA et al. (2012) Generation and acculturation status are associated with dietary intake and body weight in Mexican American adolescents. J Nutr 142, 298305.Google Scholar
46. McLoyd, VC, Cause, AM, Takeuchi, D et al. (2000) Marital processes and parental socialization in families of color: a decade of research. J Marriage Fam 62, 10701093.Google Scholar
47. Lam, CB, McHale, SM & Updegraff, KA (2012) Gender dynamics in Mexican American families: connecting mothers’, fathers’, and youths’ experiences. Sex Roles 67, 1728.Google Scholar
48. Smith, TM, Dunton, GF & Pinard, CA (2016) Factors influencing food preparation behaviours: findings from focus groups with Mexican-American mothers in southern California. Public Health Nutr 19, 841850.CrossRefGoogle ScholarPubMed
49. Abioye, AI, Isanaka, S, Liu, E et al. (2015) Gender differences in diet and nutrition among adults initiating antiretroviral therapy in Dar es Salaam, Tanzania. AIDS Care 27, 706715.Google Scholar
50. Tseng, M, DeVellis, RF, Maurer, KR et al. (2000) Food intake patterns and gallbladder disease in Mexican Americans. Public Health Nutr 3, 233243.CrossRefGoogle ScholarPubMed
51. Guendelman, S & Abrams, B (1995) Dietary intake among Mexican-American women: generational differences and a comparison with white non-Hispanic women. Am J Public Health 85, 2025.Google Scholar
52. Perez, A, Hoelscher, DM, Brown, HS III et al. (2007) Differences in food consumption and meal patterns in Texas school children by grade. Prev Chronic Dis 4, A23.Google Scholar
53. Hoelscher, DM, Day, RS, Lee, ES et al. (2004) Measuring the prevalence of overweight in Texas schoolchildren. Am J Public Health 94, 10021008.Google Scholar
54. Valazquez, CE, Pasch, KE, Ranjit, N et al. (2011) Are adolescents’ dietary perceptions associated with their dietary behaviors? J Am Diet Assoc 111, 17351740.Google Scholar
55. Marin, G & Gamba, RJ (1996) A new measurement of acculturation for Hispanics: the Bidimensional Acculturation Scale for Hispanics (BAS). Hisp J Behav Sci 18, 297316.CrossRefGoogle Scholar
56. Anderson, C, Zhao, H, Daniel, CR et al. (2016) Acculturation and diabetes risk in the Mexican American Mano a Mano Cohort. Am J Public Health 106, 547549.Google Scholar
57. Fisher-Hoc, SP, Vatcheva, KP, Rahbar, MH et al. (2015) Undiagnosed diabetes and pre-diabetes in health disparities. PLoS One 10, e0133135.Google Scholar
58. World Health Organization (2014) Global Database on Body Mass Index: BMI classification. http://apps.who.int/bmi/index.jsp?introPage=intro_3.html (accessed October 2015).Google Scholar
59. American Diabetes Association (2010) Standards of medical care in diabetes 2010. Diabetes Care 33, Supp. 1, S11S61.Google Scholar
60. Bandini, LG, Vu, D, Must, A et al. (1999) Comparison of high-calorie, low-nutrient-dense food consumption among obese and non-obese adolescents. Obes Res 7, 438443.CrossRefGoogle ScholarPubMed
61. Isasi, CR, Ayala, GX, Sotres-Alvarez, D et al. (2015) Is acculturation related to obesity in Hispanic/Latino adults? Results from the Hispanic community health study/study of Latinos. J Obes 2015, 186276.Google Scholar
62. Reininger, BM, Barroso, CS, Mitchell-Bennett, L et al. (2010) Process evaluation and participatory methods in an obesity-prevention media campaign for Mexican Americans. Health Promot Pract 11, 347357.CrossRefGoogle Scholar
63. Liebman, AK, Juarez, PM, Leyva, C et al. (2007) A pilot program using promotoras de salud to educate farmworker families about the risk from pesticide exposure. J Agromedicine 12, 3343.Google Scholar
64. Vincent, D, McEwen, MM, Hepworth, JT et al. (2013) Challenges and success of recruiting and retention for a culturally tailored diabetes prevention program for adults of Mexican descent. Diabetes Educ 39, 222230.Google Scholar
65. Vincent, D, McEwen, MM, Hepworth, JT et al. (2012) The effects of a community-based, culturally tailored diabetes prevention intervention for high-risk adults of Mexican descent. Diabetes Educ 40, 202213.Google Scholar
66. Lindberg, NM, Stevens, VJ, Vega-Lopez, S et al. (2012) A weight-loss intervention program designed for Mexican-American women: cultural adaptations and results. J Immigr Minor Health 14, 10301039.CrossRefGoogle ScholarPubMed
67. Wilson, KJ, Brown, HS & Bastida, E (2015) Cost-effectiveness of a community-based weight control intervention targeting a low-socioeconomic-status Mexican-origin population. Health Promot Pract 16, 101108.Google Scholar
68. Barquera, S, Hernandez-Barrera, L, Campos-Nonato, I et al. (2009) Energy and nutrient consumption in adults: analysis of the Mexican National Health and Nutrition Survey 2006. Salud Publica Mex 51, Suppl. 4, S562S573.Google Scholar
69. Wakimoto, P, Block, G, Mandel, S et al. (2006) Development and reliability of brief dietary assessment tools for Hispanics. Prev Chronic Dis 3, A95.Google Scholar
70. Beck, AL, Tschann, J, Butte, NF et al. (2014) Association of beverage consumption with obesity in Mexican American children. Public Health Nutr 17, 338344.Google Scholar
71. Amadou, A, Degoul, J, Hainaut, P et al. (2015) Dietary carbohydrate, glycemic index, glycemic load, and breast cancer risk among Mexican women. Epidemiology 26, 917924.Google Scholar
72. Wallace, PM, Pomery, EA, Latimer, AE et al. (2010) A review of acculturation measures and their utility in studies promoting Latino health. Hisp J Behav Sci 32, 3754.Google Scholar
Figure 0

Table 1 Demographics of the sample of Mexican-American adults aged 18–97 years from the Cameron County Hispanic Cohort study (n 1250), Texas–Mexico border region, 2008–2011

Figure 1

Table 2 Dietary intake of specific foods by sex and BMI among the sample of Mexican-American adults aged 18–97 years from the Cameron County Hispanic Cohort study (n 1250), Texas–Mexico border region, 2008–2011

Figure 2

Table 3 Dietary intake of specific foods by acculturation, as measured by language preference and generational status, among the sample of Mexican-American adults aged 18–97 years from the Cameron County Hispanic Cohort study (n 1250), Texas–Mexico border region, 2008–2011

Figure 3

Table 4 Factors associated with healthy and unhealthy food choices based on multivariable analysis among the sample of Mexican-American adults aged 18–97 years from the Cameron County Hispanic Cohort study (n 1250), Texas–Mexico border region, 2008–2011