Abstract
Objective:
Latinos disproportionately experience overweight/obesity (OWOB) and insufficient physical activity (PA), which are risk factors for numerous health conditions. Whereas numerous studies investigate acculturation as a determinant of OWOB and PA, few have examined acculturation multidimensionally, and none has examined its interaction with gender.
Methods:
Participants were 140 Latino adults. Primary outcomes were status as OWOB and endorsement of insufficient PA. Acculturation was measured with the Multidimensional Acculturation Scale II. Logistic regression analyses were used to examine the moderating effect of gender on the relationship between each acculturation scale and outcome, controlling for education, nativity, and smoking status.
Results:
Greater Spanish proficiency was significantly associated with lower odds of insufficient PA. Greater American Cultural Identity was significantly associated with higher odds of OWOB. Women had significantly higher odds of endorsing insufficient PA compared to men. Gender did not moderate the relationship between acculturation and either OWOB or PA.
Conclusions:
Acculturation is similarly associated with OWOB and insufficient PA for Latino men and women. Cultural identity may need to be considered to target OWOB interventions. Acculturation may be less important, and gender more important, to consider for appropriate targeting of PA interventions.
Keywords: obesity, physical activity, acculturation, Latinos
INTRODUCTION
Latinos in the United States (US) have disproportionately higher rates of overweight and obesity (OWOB) and insufficient physical activity (PA).1-7 Latino men and women have the highest and second highest rates of OWOB (81.8% and 78.8%, respectively) compared to their white counterparts (75.3% and 64.4%, respectively).8 Latinos are also less likely to engage in federally recommended levels of PA compared to their white counterparts.9 OWOB and insufficient PA are modifiable risk factors for various health conditions disproportionately experienced by Latinos in the US, such as diabetes, heart disease, stroke, hypertension, and various cancers.2,10-13 Latinos have disproportionately higher rates of diabetes and viral mediated cancers, which are associated with these risk factors.14-18
Authorities estimate that OWOB related healthcare costs will range from $860-$956 billion by 2030, or 15.8-17.6% of the nation’s total healthcare costs.13 Given that the Latino population remains the largest racial/ethnic minority group in the US19,20 there is a need to improve understanding of the factors associated with OWOB and insufficient PA in this population. Such knowledge stands to contribute to the development and improvement of interventions that address these health risk behaviors. This, in turn, could lead to more effective interventions that positively impact both the public health burden of OWOB, and the disproportionate burden of its consequences among Latinos.
One factor that has received significant attention for its associations with health risk behaviors among Latinos in the US, and that has particular cultural relevance, is acculturation. Acculturation is the process by which individuals selectively retain elements of their culture of origin while also selectively adopting elements of mainstream culture with regard to behaviors, practices, values, and self-identifications.21 What is known about the association of acculturation with OWOB and PA among Latinos is largely limited to differences in these risk factors as a function of language preference or proficiency, nativity, and years of US residency.1,4,21-24 Findings generally support the epidemiological phenomenon known as the Hispanic Paradox,25 in that greater acculturation, as indicated by these proxies, is associated with higher rates of OWOB and lower rates of PA. Although, acculturation historically has been assessed with unidimensional measures and demographic proxies, it is widely acknowledged that the psychological process of acculturation is multifaceted and these proxy measures are limited in both content and construct validity. Thus, studies using more theoretically grounded, multidimensional measures of acculturation are needed. Furthermore, despite observed gender differences in the rates of OWOB and PA, and observed gender differences in the association of acculturation with other health behaviors (eg, smoking, smoking cessation, alcohol consumption),26-32 no published work has examined the potential moderating effect of gender on the relationship between acculturation and OWOB or PA.
Acculturation Indicators and OWOB
Twelve published studies have examined the relationship between language use, preference, or proficiency and OWOB among Latinos. Seven studies found a positive relationship between English language preference or proficiency and OWOB.1,33-38 Five studies found no relationship between a multi-item scale of language use and OWOB.33,39-41 Ahluwalia et al.33 further examined associations separately for men and women and found no significant association between language use and OWOB for either group.
Nine published studies examined the relationship between nativity and OWOB among Latino adults, all of which found that those born in the US are more likely to be OWOB compared to those born outside the US. Furthermore, among non-US born Latinos, more years of residency is consistently associated with increased odds of OWOB.1,11,34,40,42-45
Acculturation Indicators and PA
Twenty-seven published studies have examined the relationship between language preference or proficiency and PA among Latinos. Twenty of these studies found that Latinos who preferred to speak English or were English proficient were less likely to report engaging in insufficient PA compared to those who preferred to speak Spanish or were Spanish proficient.4,34,36,41,45-60 In contrast, three studies observed English proficiency or preference to be associated with greater likelihood of engaging in insufficient PA.61-63 Four studies that used a multi-item measure of language use or preference found no associations with PA.37,39,42,64
Thirteen published studies have examined the relationship between nativity or residency and PA. Eight found that US born Latinos and foreign-born Latinos with more years of US residency were less likely to engage in insufficient PA compared to non-US born persons and persons who are recent immigrants, respectively.45,46,51,54,59,65-67 One study68 found the opposite association and 2 studies found no associations.11,52 Corral and Landrine69 found that being US-born was significantly associated with greater likelihood of engaging in any PA in the last 30 days among both men and women. Martinez et al.62 found that foreign-born persons with less than 12 years in the US had a greater probability of engaging in recommended levels of non-leisure time PA. However, this association was only statistically significant for women.62
Summary
The extant research suggests that nativity and length of US residency are consistently positively associated with OWOB, whereas findings regarding English preference/proficiency and OWOB are mixed. Also, the research generally suggests that nativity, length of US residency, and English preference/proficiency are negatively associated with endorsement of insufficient PA although several exceptions are noted.
Across all the studies reviewed herein, one major limitation is the lack of a theory-informed, multidimensional and bidirectional measure of acculturation. Thus, despite the abundance of published research in this area, our current understanding of acculturation influences on OWOB and PA remains extremely narrow. A second limitation is that the few studies reviewed herein that considered gender examined the relationship between acculturation indicators and OWOB or PA separately for men and women but did not explicitly examine the interaction effect of gender. Thus, although these studies speak to the relationships observed in each gender, they cannot speak to whether or not those relations differ between genders.
As such, the purpose of our study was to examine the associations of acculturation with status as OWOB and insufficient PA among Latino adults using a multidimensional measure of acculturation that assesses orientation toward both American and Latino cultures as well as directly examine gender as a moderator of these associations. Extrapolating from the associations observed in the published research, we hypothesized that: (1) greater endorsement of American cultural domains (English proficiency, American cultural identity) would be positively associated with OWOB and negatively associated with insufficient PA; and (2) greater endorsement of Latino cultural domains (Spanish proficiency, Latino cultural identity) would be negatively associated with OWOB and positively associated with insufficient PA. Due to the limited work examining gender differences in these associations, we refrained from stating a priori hypotheses and approached this aim as exploratory.
METHODS
Participants
Participants were 140 bilingual Latino residents of a major metropolitan area of the southcentral US. Inclusion criteria for the study were: (1) self-identification as a Latino/a; (2) ages 18 to 65 years old; (3) a valid home address and telephone number; and (4) marginal to adequate health literacy in English and Spanish, defined as scores of at least 45 on the Rapid Estimate of Adult Literacy in Medicine70 and 38 on the Short Assessment of Health Literacy for Spanish Adults.71 Exclusion criteria were: (1) another household member enrolled in the study; (2) use of an illicit substance in the past 30 days; (3) use of other tobacco products besides cigarettes; (4) participation in a smoking cessation program in the last 90 days; (5) pregnant or breastfeeding; or (6) current use of nicotine replacement products.
Procedures
We utilize data from a longitudinal cohort study of determinants of multiple health risk behaviors among Latino adults. We recruited participants via local newspaper and radio advertisements and in-person outreach. Participants completed traditional paper-and-pencil self-reported questionnaires, and 7 days of ecological momentary assessment surveys. For this study, we used only paper-and-pencil questionnaire data. Additional details on procedures for the larger study are available in Reid et al.72
Measures
Demographics.
Sociodemographic characteristics we examined in the current study were gender (male or female), educational attainment (high school diploma/GED or less vs more than a high school education), employment status (employed full- or part-time vs not employed), nativity (US born vs not US born), and smoking status (current smoker vs current non-smoker).
Acculturation.
Acculturation domains were assessed with the Multidimensional Acculturation Scale- II.73 The MAS-II is a 22-item self-report measure of involvement and identification with Latino heritage culture and mainstream American culture. The MAS-II contains 4 subscales: English Proficiency, Spanish Proficiency, American Cultural Identification, and Latino Cultural Identification. Language proficiency items are rated on a scale from 1 to 6, with mean scores ranging from 1.1 to 5.2. Cultural identity is rated on a scale from 1 to 5, with mean scores ranging from 1 to 5. Higher mean scores are interpreted as higher levels of acculturation toward the respective culture. Previous studies demonstrate the validity and reliability of the MAS-II.73,74 In the current study, composite reliability (ω) for each of the subscales was as follows: Spanish Proficiency=0.89, English Proficiency=0.87, Latino Cultural Identification=0.83, and American Cultural Identification=0.77.
Overweight and obesity (OWOB).
Status as overweight or obese (OWOB) was defined as a BMI of 25 or higher, and a BMI lower than 25 was defined as ‘not overweight or obese’.46,75 Body mass index (BMI) was calculated by dividing each participant’s weight in pounds by their height in inches squared and multiplying the resulting value by a factor of 703. Height and weight measurements were taken consistent with76 and involved taking 2 consecutive measurements rounded to the nearest tenth, which are then averaged to produce a final measurement.
Physical activity (PA).
PA was assessed using the PA questions of the Behavioral Risk Factor Surveillance System.77 Participants were asked to report whether or not they engaged in more than 10 minutes of moderate or vigorous PA per week outside of their employment. If participants responded “yes,” they were asked to specify the number of days per week and minutes per day they engaged in moderate and vigorous PA. Insufficient PA was defined as less than 150 minutes of moderate and less than 75 minutes of vigorous PA. Sufficient PA was defined as 150 (or more) minutes of moderate and 75 (or more) minutes of vigorous PA. These cut-offs are consistent with federal physical activity recommendations for adults.78
Data Analysis
The proportion of missing data for each variable was calculated and descriptive statistics were estimated separately for men and women. Multiple logistic regression analysis was the primary data analytic approach in the current study. Analyses were conducted in Version 8 Mplus79 using full information maximum likelihood estimation to account for missing data. Primary outcomes were status as OWOB (overweight/obese=1, not overweight/obese=0) and endorsement of insufficient PA (insufficient PA=1, sufficient PA=0). The focal predictors of interest were English Proficiency Spanish Proficiency American Cultural Identity and Latino Cultural Identity. One logistic regression analysis was conducted examining the association of each MAS-II subscale with each of the outcomes of interest, for a total of 8 analyses. To examine the moderating effect of gender on the relationship between acculturation domains and status as OWOB or insufficient PA, 4 multiple logistic regression analyses were conducted with each outcome of interest, for a total of 8 additional analyses. Each analysis included gender, one of the 4 acculturation subscales, the interaction term of gender and the acculturation subscale being examined, and the specified covariates. Gender (female=1, male=0) was designated as the moderator in all moderation analyses. Educational attainment (more than a high school education=1, high school diploma/GED or less=0), employment status (employed full-/part-time=1, not employed=0), nativity (US-born=1, not US-born=0) and smoking status (current smoker=1, non-smoker=0) were used as covariates. In analyses not testing moderation, gender was used as an additional covariate.
RESULTS
Missing Data
Of the 12 variables used in the analyses, 5 had no missing data (age, educational attainment, employment status, gender, and smoking status). For the remaining 7 variables, missing data ranged from 0.7% (nativity) to 12.6% (OWOB).
Participant Characteristics
Table 1 summarizes participant characteristics. The sample was compromised of slightly more women than men (78 women [55.7%] vs 62 men [44.3%]). There were statistically significant differences between men and women on smoking and PA status. More women reported insufficient PA (43.9%; 95% CI=32.5-56.0) compared with men (25.0%; 95% CI= 15.4-37.9). More men endorsed current smoking (59.7%; 95% CI=47.1-71.1) compared with women (32.1%; 95% CI=27.7-43.1). In addition, women scored higher on the Spanish proficiency subscale of the Multidimensional Acculturation Scale (4.4; 95% CI=4.2-4.5) compared to men (4.0; 95% CI=3.8-4.2).
Table 1.
Estimated Proportion (95% Confidence Interval) |
||
---|---|---|
Women (N=78) | Men (N=62) | |
Educational attainment | ||
>High School/GED | 32.1 (22.7–43.1) | 40.3 (28.9–52.9) |
≤ High School/GED | 67.9 (56.0-77.3) | 59.7 (47.1-71.1) |
Nativity | ||
US Born | 57.2 (45.9-67.7) | 69.4 (56.8-79.5) |
Foreign Born | 42.8 (32.3-54.1) | 30.6 (20.5-43.1) |
Smoking Status | ||
Smoker | 32.1 (22.7-43.1) | 59.7 (47.1-71.1) |
Non-smoker | 67.9 (56.9-77.3) | 40.3 (28.9-52.9) |
Employment Status | ||
Employed (full- or part-time) | 44.1 (34.3-56.0) | 50.0 (37.8-62.2) |
Not Employed | 55.1 (44.0-65.7) | 50.0 (37.8-62.2) |
Overweight/Obesity Status | ||
Non-overweight/Obese | 31.1 (21.6-42.5) | 25.9 (16.2-38.6) |
Overweight/Obese | 68.9 (57.5-78.4) | 74.1 (61.4-83.8) |
Physical Activity Status | ||
Sufficient Physical Activity | 56.1 (44.0-67.5) | 75.0 (62.1-84.6) |
Insufficient Physical Activity | 43.9 (32.5-56.0) | 25.0 (15.4-37.9) |
Estimated Mean (95% Confidence Interval) |
||
Age | 34.4 (31.9-36.8) | 38.2 (34.9-41.6) |
MAS-II subscales | ||
Spanish Proficiency | 4.4 (4.2-4.5) | 4.0 (3.8-4.2) |
English Proficiency | 4.6 (4.5-4.8) | 4.8 (4.7-4.9) |
Latino Cultural Identity | 4.4 (4.2-4.5) | 4.2 (4.1-4.4) |
American Cultural Identity | 4.3 (4.1-4.4) | 4.3 (4.1-4.4) |
Note: MAS-II=Multidimensional Acculturation Scale-II.
Table 2 summarizes the bivariate correlations among all variables. Regarding the key predictors and outcomes of interest, bivariate correlations indicate that those with more than a high school education and those born in the US had higher mean English proficiency scores than those with a high school education or less (r=.28), and those not born in the US (r=.36), respectively. Women, non-smokers, those not born in the US, and those with more than a high school education had higher mean Spanish proficiency scores compared to men (r=.22), current smokers (r=−.21), those bom in the US (r=−.48) and those with a high school education or less (r=.29), respectively. Those who were OWOB were less likely to be employed (r=−.17) and had higher mean American Cultural Identity scores (r=.20) than those who were not OWOB. Those who engaged in insufficient PA were more likely to be women (r=.21). Thus, in bivariate analyses, the only significant association among the key predictors and outcomes of interest was that of American Cultural Identity with insufficient PA.
Table 2.
≤ High School/GED |
Employed | Current Smoker |
US Born | Female | ENG | SPAN | ACI | LCI | OWOB | Insufficient PA |
|
---|---|---|---|---|---|---|---|---|---|---|---|
≤ High School/GED | - | 0.20* | −0.33** | −0.02 | 0.09 | 0.28** | 0.29** | −0.06 | −0.00 | −0.05 | 0.09 |
Employed | - | - | −0.18* | −0.07 | −0.05 | 0.01 | 0.03 | 0.03 | 0.13 | −0.17* | −0.04 |
Current Smoker | - | - | - | 0.10 | −0.28** | −0.05 | −0.21* | 0.03 | −0.08 | 0.09 | −0.03 |
US Born | - | - | - | - | −0.13 | 0.36** | −0.48** | 0.08 | −0.04 | 0.08 | 0.00 |
Female | - | - | - | - | - | −0.14 | 0.22** | 0.02 | 0.11 | −0.07 | 0.21* |
ENG | - | - | - | - | - | - | −0.13 | 0.05 | −0.12 | −0.07 | −0.09 |
SPAN | - | - | - | - | - | - | - | −0.15 | 0.20* | −0.12 | −0.13 |
ACI | - | - | - | - | - | - | - | - | 0.55** | 0.20* | −0.06 |
LCI | - | - | - | - | - | - | - | - | - | 0.06 | −0.13 |
OWOB | - | - | - | - | - | - | - | - | - | - | 0.22* |
Insufficient PA | - | - | - | - | - | - | - | - | - | - | - |
Note: ACI = American Cultural Identity; ENG= English Proficiency; SPAN= Spanish Proficiency; LCI= Latino Cultural Identity; OWOB= Overweight/obese; PA= Physical Activity.
p<.05
p<.01
Multivariate Associations of Acculturation Domains with OWOB and Insufficient PA
Table 3 summarizes adjusted analyses of the associations between acculturation domains and OWOB and insufficient PA. American Cultural Identity was significantly associated with OWOB such that a one-point increase in American Cultural Identity score was associated with an 89% increase in odds of being OWOB (adjusted odds ratio [AOR]=1.89; 95% confidence interval [CI]=1.08-3.31). Spanish Proficiency was significantly associated with insufficient PA such that a one-point increase in Spanish Proficiency score was associated with a 50% decrease in odds of reporting insufficient PA (AOR=0.5, 95% 0=0.28-0.88). In all models examining insufficient PA, women had 2.3 to 2.8 times the odds of endorsing insufficient PA compared to men. In none of the 8 moderation analyses was the interaction effect of gender and acculturation domain significant (all ps >.05). Additional models were conducted that examined gender interactions with each acculturation subscale, while controlling for its counterpart subscale (eg, gender interaction with Spanish Proficiency while controlling for English Proficiency). These additional analyses did not provide any different results (results not shown).
Table 3.
OWOB | Insufficient PA | |||
---|---|---|---|---|
Predictor | AOR | 95% CI | AOR | 95% CI |
Model 1: Spanish Proficiency | ||||
US Born (vs foreign-born) | 1.09 | 0.45 -2.61 | 0.66 | 0.26 -1.69 |
Current smoker (vs non-smoker) | 1.22 | 0.51-2.94 | 1.26 | 0.54 -2.93 |
Employed full- or part-time (vs not employed) | 0.46 | 0.20 -1.06 | 0.86 | 0.39 -1.93 |
Greater than a high school education (vs high school diploma/GED or less) | 1.10 | 0.45 -2.69 | 2.10 | 0.80 -5.51 |
Female (vs male) | 0.82 | 0.35 -1.89 | 2.83 | 1.23 -6.49 |
Spanish Proficiency | 0.78 | 0.47 -1.32 | 0.50 | 0.28 -0.88 |
Model 2: English Proficiency | ||||
US Born (vs foreign-born) | 1.53 | 0.65 -3.51 | 1.32 | 0.54 -3.22 |
Current smoker (vs non-smoker) | 1.26 | 0.53 -3.03 | 1.29 | 0.57 -2.90 |
Employed full- or part-time (vs not employed) | 0.47 | 0.21 -1.06 | 0.85 | 0.39 -1.87 |
Greater than a high school education (vs high school diploma/GED or less) | 1.20 | 0.49 -2.94 | 1.72 | 0.69 -4.29 |
Female (vs male) | 0.74 | 0.31 -1.75 | 2.36 | 1.03 -5.42 |
English Proficiency | 0.60 | 0.27 -1.35 | 0.66 | 0.29 -1.51 |
Model 3: Latino Cultural Identity | ||||
US Born (vs foreign-born) | 1.29 | 0.60 -2.81 | 1.13 | 0.50 -2.52 |
Current smoker (vs non-smoker) | 1.30 | 0.55 -3.09 | 1.26 | 0.56 -2.87 |
Employed full- or part-time (vs not employed) | 0.46 | 0.20 -1.04 | 0.98 | 0.43 -2.20 |
Greater than a high school education (vs high school diploma/GED or less) | 1.02 | 0.43 -2.46 | 1.46 | 0.61 -3.48 |
Female (vs male) | 0.75 | 0.33 -1.73 | 2.56 | 1.11 -5.92 |
Latino Cultural Identity | 1.39 | 0.74 -2.60 | 0.65 | 0.36 -1.17 |
Model 4: American Cultural Identity | ||||
US Born (vs. foreign-born) | 1.20 | 0.54-2.62 | 1.14 | 0.52 -2.52 |
Current smoker (vs. non-smoker) | 1.22 | 0.51 -2.92 | 1.33 | 0.59 -3.04 |
Employed full- or part-time (vs. not employed) | 0.44 | 0.19 -1.03 | 0.91 | 0.41 -2.01 |
Greater than a high school education (vs. high school diploma/GED or less) | 1.08 | 0.45 -2.63 | 1.45 | 0.62 -3.38 |
Female (vs male) | 0.74 | 0.31 -1.74 | 2.42 | 1.06 -5.54 |
American Cultural Identity | 1.89 | 1.08 -3.31 | 0.87 | 0.50 -1.52 |
Note: OWOB=Overweight/obese; PA=Physical Activity; AOR=Adjusted Odds Ratio.
CI=Confidence Interval. Reference groups for dichotomous variables are noted in parentheses.
DISCUSSION
Our study is among the first to examine multiple domains of acculturation and their associations with OWOB and PA, as well as the first to examine the potential moderating effect of gender on these associations. Controlling for smoking status, gender, and other sociodemographic variables, greater Spanish proficiency was associated with lower odds of endorsing insufficient levels of PA, and greater endorsement of American Cultural Identity was associated with higher odds of being OWOB. Gender was consistently associated with PA status, such that women demonstrated higher odds of endorsing insufficient PA compared to men in each analysis, over and above smoking status, sociodemographic variables, and any given acculturation domain. Neither English proficiency nor Latino Cultural Identity were associated with either OWOB or PA status. In addition, we did not find a gender-differentiated effect of acculturation domains on OWOB or PA status.
In the studies reviewed here, Spanish and English proficiency were largely treated as opposite ends of a single continuum. Thus, a novel aspect of our study was the use of a multidimensional scale that allowed for independent measurement of English and Spanish proficiency. This approach may allow for more specific insights into the nature of the relationship between language proficiency and the outcomes examined here. For example, previous work has demonstrated that endorsement of English versus Spanish use or proficiency is negatively associated with insufficient PA.50-52,69 Our findings may suggest this previously observed association may be primarily a function of decreasing Spanish competency rather than increasing English competency.
Additionally, controlling for relevant sociodemographic variables may help clarify what accounts for the association between language proficiency and insufficient PA, as our results suggest a suppression effect80 of the covariates on the relationship between Spanish proficiency and insufficient PA. Specifically, bivariate correlations demonstrate that insufficient PA bears a non-significant negative correlation with Spanish proficiency (r=−.13; equivalent to an odds ratio of .70) and a non-significant positive correlation with educational attainment (r =. 10; equivalent to an odds ratio of 1.4). These relationships become larger in adjusted analyses (AOR=.50 and AOR=2.10, respectively) and the effect of Spanish proficiency becomes statistically significant. In addition, the bivariate correlation between educational attainment and Spanish proficiency is positive and statistically significant (r=.29). This suggests that greater Spanish proficiency may be indicative of higher educational attainment in this sample. Together, these data suggest that the negative relationship between Spanish proficiency and insufficient PA may be spurious and accounted for by educational attainment, which itself is a known protective factor against insufficient PA.81-83
Our finding that women had higher odds of reporting insufficient PA compared with men is also consistent with existing studies.46,55,58,61 Gender roles and expectations have been influenced by cultural attributes, such as familism, marianismo, and machismo, which have been found to be barriers for Latinas to engage in physical activity.39,51,84,85 Familism characterizes a strong identification and attachment to family, which can define familial obligations that Latinos prioritize.86,87 Marianismo further emphasizes the role of women being centered around the family and to model self-sacrifice, nurturing, and spiritual qualities, among others, for their family.88,89 Latinas have reported prioritizing their familial responsibilities, such as cooking and caring for children, spouses, and parents, and in doing so, do not have time and energy to spend on exercise.90-93 The counterpart to marianismo, machismo, also has influenced barriers for Latinas to exercise. Machismo refers to men demonstrating characteristics, such as honor, dominance, sexism, and encourages women to stay in traditional roles. 88,89 Latinas have reported not participating in exercise outside the home because their partners discouraged exercising with men94-96 or worried about attracting attention with their apparel.97 Additionally, foreign-born women have reported that vigorous physical activity (ie, sports) are “unfeminine” and this attitude discourages them from participating in these types of physical activity, especially when one considers that they will have less support from family and friends.98
Physical environment attributes, socioeconomic, and other social attributes may also act as barriers to Latinas endorsing sufficient physical activity. Socioeconomic status tends to impact type of households and neighborhoods individuals live in and the access to support. Latinos are disproportionately low-income compared to Whites, which can limit them to living in communities that have poor physical environment attributes, such as bicycle paths, footpaths, and sidewalks. Having an environment conducive to PA and access to recreational facilities increases opportunities for people to engage in exercise outside work and home.91,99,100 Latinos are part of groups that have less access to parks and recreational facilities,101,102 which can be related to insufficient PA. Some of the facilities may be out of reach because of cost or geographical distance.84 Latinos also may live in multigenerational households, which can limit the physical space and opportunities for Latinas to participate in PA.84 Additionally, Latinas have reported not having resources for childcare61,94 or not having help from family.91,103,104
The finding that greater American Cultural Identity was positively associated with odds of being OWOB is a highly novel aspect of our study. Furthermore, American identity is positively correlated with nativity and length of US residency,73,105,106 and all 3 variables have been found to be positively associated with adoption of US cultural practices.105,107 This includes American dietary practices, which tend to be higher in nutrients that contribute to OWOB, such as fat/saturated fat, sugars, and animal protein.108 Thus, we speculate that our findings regarding American Cultural Identity and OWOB could be due to nutrition and dietary behaviors that Latino adults may adopt with increasing acculturation as indicated by American identity, nativity, or length of US residency. Foreign-born Latinos have higher fruit and vegetable intake52,69 and a diet lower in saturated fat41 relative to those who are US born. Creighton et al.65 and Satia-Abouta et al.108 additionally found that third generation immigrant Mexicans reported higher intake of sweetened drinks and fast food compared to those who are first generation immigrants.
Our results further suggest that acculturation to the mainstream culture may be more important to OWOB among Latino adults than the retention of the values, beliefs, and practices of their culture of origin. It may be that socioeconomic factors impact the acculturation process for Latino adults and take on American nutrition patterns. Adults who report food insecurity had higher odds of being obese compared to those without food insecurity.109 Studies have shown that although there is availability of fresh produce in stores in Latino neighborhoods, the produce is sold at higher prices compared to stores in non-Latino communities.23,110 Additionally, some neighborhoods may have more fast food restaurants and provide more affordable food choices than supermarkets and grocery stores.110 Additionally, work demands in this population may make it difficult to consume home meals, which tend to have healthier nutrients than meals outside the home.111,112 Further research is needed to understand how socioeconomical factors influence cultural values and beliefs with dietary acculturation. Attention to these sociocultural factors will improve nutrition interventions targeting OWOB among Latino adults and policies making healthy produce more affordable.
Sedentary behaviors is another practice that is highly associated with OWOB and is impacted by acculturation.34,113 US born Latinos experience higher sedentary behaviors, which increases the risk of OWOB.68,114 US born Latinos and foreign-born Latinos with many years of living in the US have higher sedentary behaviors,114 which have strongly mediated the relationship between acculturation and obesity.34,68 It may be that as Latinos acculturate to the mainstream culture, they take on employment that decreases manual labor.61
Our study has some limitations. The multidimensional acculturation scale allowed for different constructs of the process to be measured and tested with obesity and insufficient PA. Although the multidimensional scale we used includes more dimensions of the complex acculturation process, namely language proficiency and cultural identity, there are other aspects of acculturation that were not assessed (eg, non-language behaviors/practices, identities).
We focused on leisure time PA. Thus, findings may not generalize to non-leisure time PA. Future studies may benefit from use of a PA scale that differentiates type of PA with multidimensional scales for acculturation. We used a self-report measure of PA, which may result in misreporting of various sorts due to limitations in participant recall and can contribute to overestimation of PA.115 Similarly, we used BMI as an indicator of OWOB, but some research cautions against the use of BMI in isolation as an indicator of OWOB.116 Thus, future studies may benefit from use of additional or alternative measures of OWOB and/or PA. Because our study was a secondary analysis of existing data, it was not specifically powered to detect the associations examined here, and lack of significant interaction effects should be considered with this in mind. Our sample over-represents Latinos who smoke; however, the effects of this are mitigated through statistical control. Despite its limitations, our study may have implications for research and intervention. Findings will help future studies identify specific values, beliefs, and norms that impact factors related to OWOB and physical activity among Latino adults. Expanding the knowledge on cultural norms and values related to acculturation can help create more appropriate culturally-tailored interventions targeting OWOB and insufficient PA.
Footnotes
Human Subjects Approval Statement
The study was approved by the Institutional Review Board of The University of Texas MD Anderson Cancer Center.
Disclaimer
The contents of this manuscript are solely the responsibility of the authors and do not necessarily represent the views of the National Cancer Institute or the American Cancer Society.
Conflict of Interest Disclosure Statement
Data collection was funded by grants from National Cancer Institute and American Cancer Society. The authors have no conflict of interest to report.
References
- 1.Ai AL, Appel HB, Lee J. Acculturation Factors Related to Obesity of Latino American Men Nationwide. Am J Mens Health. 2018;12(5):1421–30. 10.1177/1557988316653182 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Larsen BA, Noble ML, Murray KE, et al. Physical activity in Latino men and women: facilitators, barriers, and interventions. Am J Lifestyle Med. 2015;9(1):4–30. 10.1177/1559827614521758 [DOI] [Google Scholar]
- 3.Moore SC, Lee IM, Weiderpass E, et al. Association of Leisure-Time Physical Activity With Risk of 26 Types of Cancer in 1.44 Million Adults. JAMA Intern Med. 2016;176(6):816–25. 10.1001/jamainternmed.2016.1548 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.O’Brien MJ, Alos VA, Davey A, et al. Acculturation and the prevalence of diabetes in US Latino Adults, National Health and Nutrition Examination Survey 2007-2010. Prev Chronic Dis. 2014;11:E176. 10.5888/pcd11.140142 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Ogden CL, Carroll MD, Kit BK, et al. Prevalence of childhood and adult obesity in the United States, 2011-2012. JAMA. 2014;311(8):806–14. 10.1001/jama.2014.732 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Pleis JR, Lethbridge-Cejku M. Summary health statistics for U.S. adults: National Health Interview Survey, 2006. Vital Health Stat 10. 2007;(235):1–153. https://www.cdc.gov/nchs/data/series/sr_10/sr10_235.pdf [PubMed] [Google Scholar]
- 7.Sanchez-Johnsen L, Craven M, Nava M, et al. Cultural Variables Underlying Obesity in Latino Men: Design, Rationale and Participant Characteristics from the Latino Men’s Health Initiative. J Community Health. 2017;42(4):826–38. 10.1007/s10900-017-0324-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.National Center for Health Statistics. Health, United States, 2018: Table 26. Health, United States, 2018; 2018. https://www.cdc.gov/nchs/data/hus/2018/026.pdf [Google Scholar]
- 9.National Center for Health Statistics. Health, United States, 2019: Table 25. Health, United States, 2019; 2019. https://www.cdc.gov/nchs/data/hus/2019/025-508.pdf [Google Scholar]
- 10.Benjamin EJ, Muntner P, Alonso A, et al. Heart Disease and Stroke Statistics-2019 Update: A Report From the American Heart Association. Circulation. 2019;139(10):e56–e528. 10.1161/cir.0000000000000659 [DOI] [PubMed] [Google Scholar]
- 11.Cedillo Y, Fernandez J, Cherrington A, et al. Length of Residence and Its Association to Eating Practices, Physical Activity, and BMI among Latina Immigrants in Alabama. Austin J Nutri Food Sci. 2018;6(3):1108. https://austinpublishinggroup.com/nutrition-food-sciences/fulltext/ajnfs-v6-id1108.php [Google Scholar]
- 12.Dominguez K, Penman-Aguilar A, Chang MH, et al. Vital signs: leading causes of death, prevalence of diseases and risk factors, and use of health services among Hispanics in the United States - 2009-2013. MMWR Morb Mortal Wkly Rep. 2015;64(17):469–78. http://www.ncbi.nlm.nih.gov/pmc/articles/pmc4584552/ [PMC free article] [PubMed] [Google Scholar]
- 13.Reininger B, Lee M, Jennings R, et al. Healthy eating patterns associated with acculturation, sex and BMI among Mexican Americans. Public Health Nutr. 2017;20(7):1267–78. 10.1017/s1368980016003311 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Ford ES, Zhao G, Tsai J, et al. Low-risk lifestyle behaviors and all-cause mortality: findings from the National Health and Nutrition Examination Survey III Mortality Study. Am J Public Health. 2011;101(10):1922–9. 10.2105/ajph.2011.300167 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Miller KD, Ortiz AP, Pinheiro PS, et al. Cancer statistics for the US Hispanic/Latino population, 2021. CA Cancer J Clin. 2021;71(6):466–87. 10.3322/caac.21695 [DOI] [PubMed] [Google Scholar]
- 16.Saint Onge JM, Krueger PM. Health Lifestyle Behaviors among U.S. Adults. SSM Popul Health. 2017;3:89–98. 10.1016/j.ssmph.2016.12.009 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Spring B, Moller AC, Coons MJ. Multiple health behaviours: overview and implications. J Public Health (Oxf). 2012;34(Suppl 1):i3–10. 10.1093/pubmed/fdr111 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Villarroel M, Blackwell D, Jen A. Tables of Summary Health Statistics for U.S. Adults: 2018 National Health Interview Survey (Diabetes). National Center for Health Statistics; 2019. [Google Scholar]
- 19.Flores A. How the U.S. Hispanic population is changing. Pew Research Center. https://www.pewresearch.org/fact-tank/2017/09/18/how-the-u-s-hispanic-population-is-changing/. Published September 18, 2017. Accessed May 3, 2021. [Google Scholar]
- 20.U.S. Census B. Facts for Features: Hispanic Heritage Month 2015. The United States Census Bureau. https://www.census.gov/newsroom/facts-for-features/2015/cb15-ff18.html. Published September 14, 2015. Accessed May 3, 2021. [Google Scholar]
- 21.Schwartz SJ, Unger JB, Zamboanga BL, et al. Rethinking the concept of acculturation: implications for theory and research. Am Psychol. 2010;65(4):237–51. 10.1037/a0019330 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Lara M, Gamboa C, Kahramanian MI, et al. Acculturation and Latino health in the United States: a review of the literature and its sociopolitical context. Annu Rev Public Health. 2005;26:367–97. 10.1146/annurev.publhealth.26.021304.144615 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Lopez-Class M, Castro FG, Ramirez AG. Conceptions of acculturation: a review and statement of critical issues. Soc Sci Med. 2011;72(9):1555–62. 10.1016/j.socscimed.2011.03.011 [DOI] [PubMed] [Google Scholar]
- 24.Schwartz SJ, Weisskirch RS, Zamboanga BL, et al. Dimensions of acculturation: associations with health risk behaviors among college students from immigrant families. J Couns Psychol. 2011;58(1):27–41. 10.1037/a0021356 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Ruiz JM, Hamann HA, Mehl MR, et al. The Hispanic health paradox: From epidemiological phenomenon to contribution opportunities for psychological science. Group Process Intergroup Relat. 2016;19(4):462–76. 10.1177/1368430216638540 [DOI] [Google Scholar]
- 26.Castañeda SF, Garcia ML, Lopez-Gurrola M, et al. Alcohol use, acculturation and socioeconomic status among Hispanic/Latino men and women: The Hispanic Community Health Study/Study of Latinos. PLoS One. 2019;14(4):e0214906. 10.1371/journal.pone.0214906 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Kaplan RC, Bangdiwala SI, Barnhart JM, et al. Smoking among U.S. Hispanic/Latino adults: the Hispanic community health study/study of Latinos. Am J Prev Med. 2014;46(5):496–506. 10.1016/j.amepre.2014.01.014 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Merzel CR, Isasi CR, Strizich G, et al. Smoking cessation among U.S. Hispanic/Latino adults: Findings from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL). Prev Med. 2015;81:412–9. 10.1016/j.ypmed.2015.10.006 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Mills BA, Caetano R. Decomposing associations between acculturation and drinking in Mexican Americans. Alcohol Clin Exp Res. 2012;36(7):1205–11. 10.1111/j.1530-0277.2011.01712.x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Pérez-Stable EJ, Ramirez A, Villareal R, et al. Cigarette smoking behavior among US Latino men and women from different countries of origin. Am J Public Health. 2001;91(9):1424–30. 10.2105/ajph.91.9.1424 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Raffaelli M, Torres Stone RA, Iturbide MI, et al. Acculturation, gender, and alcohol use among Mexican American college students. Addict Behav. 2007;32(10):2187–99. 10.1016/j.addbeh.2007.02.014 [DOI] [PubMed] [Google Scholar]
- 32.Zemore SE. Re-examining whether and why acculturation relates to drinking outcomes in a rigorous, national survey of Latinos. Alcohol Clin Exp Res. 2005;29(12):2144–53. 10.1097/01.alc.0000191775.01148.c0 [DOI] [PubMed] [Google Scholar]
- 33.Ahluwalia IB, Ford ES, Link M, et al. Acculturation, weight, and weight-related behaviors among Mexican Americans in the United States. Ethn Dis. 2007;17(4):643–9. https://pubmed.ncbi.nlm.nih.gov/18072373/ [PubMed] [Google Scholar]
- 34.Chrisman M, Chow WH, Daniel CR, et al. Associations between language acculturation, age of immigration, and obesity in the Mexican American Mano A Mano cohort. Obes Res Clin Pract. 2017;11(5):544–57. 10.1016/j.orcp.2017.03.005 [DOI] [PubMed] [Google Scholar]
- 35.Garcia L, Gold EB, Wang L, et al. The relation of acculturation to overweight, obesity, pre-diabetes and diabetes among U.S. Mexican-American women and men. Ethn Dis. 2012;22(1):58–64. http://www.ncbi.nlm.nih.gov/pmc/articles/pmc4203316/ [PMC free article] [PubMed] [Google Scholar]
- 36.Slattery ML, Sweeney C, Edwards S, et al. Physical activity patterns and obesity in Hispanic and non-Hispanic white women. Med Sci Sports Exerc. 2006;38(1):33–41. 10.1249/01.mss.0000183202.09681.2a [DOI] [PubMed] [Google Scholar]
- 37.Vella CA, Ontiveros D, Zubia RY, et al. Acculturation and metabolic syndrome risk factors in young Mexican and Mexican-American women. J Immigr Minor Health. 2011;13(1):119–26. 10.1007/s10903-009-9299-7 [DOI] [PubMed] [Google Scholar]
- 38.Vercammen KA, McClain AC, Tucker KL, et al. The association between baseline acculturation level and 5-year change in adiposity among Puerto Ricans living on the mainland United States. Prev Med Rep. 2019;13:314–20. 10.1016/j.pmedr.2019.01.012 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Abraído-Lanza AF, Shelton RC, Martins MC, et al. Social Norms, Acculturation, and Physical Activity Among Latina Women. J Immigr Minor Health. 2017;19(2):285–93. 10.1007/s10903-016-0519-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Isasi CR, Ayala GX, Sotres-Alvarez D, et al. Is acculturation related to obesity in Hispanic/Latino adults? Results from the Hispanic community health study/study of Latinos. J Obes. 2015;2015:1–8. 10.1155/2015/186276 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Mainous AG 3rd, Diaz VA, Geesey ME. Acculturation and healthy lifestyle among Latinos with diabetes. Ann Fam Med. 2008;6(2):131–7. 10.1370/afm.814 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Banna JC, Kaiser LL, Drake C, et al. Acculturation, physical activity and television viewing in Hispanic women: findings from the 2005 California Women’s Health Survey. Public Health Nutr. 2012;15(2):198–207. 10.1017/s1368980011001273 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Bowie JV, Juon HS, Cho J, et al. Factors associated with overweight and obesity among Mexican Americans and Central Americans: results from the 2001 California Health Interview Survey. Prev Chronic Dis. 2007;4(1):A10. http://www.ncbi.nlm.nih.gov/pmc/articles/pmc1832130/ [PMC free article] [PubMed] [Google Scholar]
- 44.Flórez KR, Abraído-Lanza A. Segmented Assimilation:An Approach to Studying Acculturation and Obesity Among Latino Adults in the United States. Fam Community Health. 2017;40(2):132–8. 10.1097/fch.0000000000000143 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Abraído-Lanza AF, Chao MT, Flórez KR. Do healthy behaviors decline with greater acculturation? Implications for the Latino mortality paradox. Soc Sci Med. 2005;61(6):1243–55. 10.1016/j.socscimed.2005.01.016 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Chrisman M, Daniel CR, Chow WH, et al. Acculturation, sociodemographic and lifestyle factors associated with compliance with physical activity recommendations in the Mexican-American Mano A Mano cohort. BMJ Open. 2015;5(11):e008302. 10.1136/bmjopen-2015-008302 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Afable-Munsuz A, Ponce NA, Rodriguez M, et al. Immigrant generation and physical activity among Mexican, Chinese & Filipino adults in the U.S. Soc Sci Med. 2010;70(12):1997–2005. 10.1016/j.socscimed.2010.02.026 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Berrigan D, Dodd K, Troiano RP, et al. Physical activity and acculturation among adult Hispanics in the United States. Res Q Exerc Sport. 2006;77(2):147–57. 10.1080/02701367.2006.10599349 [DOI] [PubMed] [Google Scholar]
- 49.Camplain R, Sotres-Alvarez D, Alvarez C, et al. The association of acculturation with accelerometer-assessed and self-reported physical activity and sedentary behavior: The Hispanic Community Health Study/Study of Latinos. Prev Med Rep. 2020;17:101050. 10.1016/j.pmedr.2020.101050 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Echeverría SE, Pentakota SR, Abraído-Lanza AF, et al. Clashing paradigms: an empirical examination of cultural proxies and socioeconomic condition shaping Latino health. Ann Epidemiol. 2013;23(10):608–13. 10.1016/j.annepidem.2013.07.023 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Evenson KR, Sarmiento OL, Ayala GX. Acculturation and physical activity among North Carolina Latina immigrants. Soc Sci Med. 2004;59(12):2509–22. 10.1016/j.socscimed.2004.04.011 [DOI] [PubMed] [Google Scholar]
- 52.Ghaddar S, Brown CJ, Pagán JA, et al. Acculturation and healthy lifestyle habits among Hispanics in United States-Mexico border communities. Rev Panam Salud Publica. 2010;28(3):190–7. 10.1590/s1020-49892010000900009 [DOI] [PubMed] [Google Scholar]
- 53.Jurkowski JM, Mosquera M, Ramos B. Selected cultural factors associated with physical activity among Latino women. Womens Health Issues. 2010;20(3):219–26. 10.1016/j.whi.2010.01.004 [DOI] [PubMed] [Google Scholar]
- 54.López EB, Yamashita T. The relationship of education and acculturation with vigorous intensity leisure time physical activity by gender in Latinos. Ethn Health. 2018;23(7):797–812. 10.1080/13557858.2017.1294664 [DOI] [PubMed] [Google Scholar]
- 55.Mikell M, Snethen J, Kelber ST. Exploring Factors Associated with Physical Activity in Latino Immigrants. West J Nurs Res. 2020;42(9):680–9. 10.1177/0193945919897547 [DOI] [PubMed] [Google Scholar]
- 56.Pichon LC, Arredondo EM, Roesch S, et al. The relation of acculturation to Latinas’ perceived neighborhood safety and physical activity: a structural equation analysis. Ann Behav Med. 2007;34(3):295–303. 10.1007/bf02874554 [DOI] [PubMed] [Google Scholar]
- 57.van Rompay MI, McKeown NM, Castaneda-Sceppa C, et al. Acculturation and sociocultural influences on dietary intake and health status among Puerto Rican adults in Massachusetts. J Acad Nutr Diet. 2012;112(1):64–74. 10.1016/j.jada.2011.08.049 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Vasquez G, Salinas J, Molokwu J, et al. Physical Activity in Older Mexican Americans Living in Two Cities on the U.S.-Mexico Border. Int J Environ Res Public Health. 2018;15(9):1820. 10.3390/ijerph15091820 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Vermeesch AL, Stommel M. Physical activity and acculturation among U.S. Latinas of childbearing age. West J Nurs Res. 2014;36(4):495–511. 10.1177/0193945913507341 [DOI] [PubMed] [Google Scholar]
- 60.Van Wieren AJ, Roberts MB, Arellano N, et al. Acculturation and cardiovascular behaviors among Latinos in California by country/region of origin. J Immigr Minor Health. 2011;13(6):975–81. 10.1007/s10903-011-9483-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Marquez DX, McAuley E. Gender and acculturation influences on physical activity in Latino adults. Ann Behav Med. 2006;31(2):138–44. 10.1207/s15324796abm3102_5 [DOI] [PubMed] [Google Scholar]
- 62.Martinez SM, Arredondo EM, Roesch S, et al. Walking for transportation among Latino adults in San Diego County: who meets physical activity guidelines? J Phys Act Health. 2011;8(7):898–906. 10.1123/jpah.8.7.898 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Perez LG, Chavez A, Marquez DX, et al. Associations of Acculturation With Self-Report and Objective Physical Activity and Sedentary Behaviors Among Latinas. Health Educ Behav. 2017;44(3):431–8. 10.1177/1090198116669802 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Martinez SM, Ayala GX, Patrick K, et al. Associated pathways between neighborhood environment, community resource factors, and leisure-time physical activity among Mexican-American adults in San Diego, California. Am J Health Promot. 2012;26(5):281–8. 10.4278/ajhp.100722-quan-249 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Creighton MJ, Goldman N, Pebley AR, et al. Durational and generational differences in Mexican immigrant obesity: is acculturation the explanation? Soc Sci Med. 2012;75(2):300–10. 10.1016/j.socscimed.2012.03.013 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Gallegos-Carrillo K, Belcher BR, Dunton GF, et al. A US/Mexico Study of Joint Associations of Physical Activity and Sedentary Behavior on Anthropometric Indicators, Migration Status, Country of Birth and Country of Residence. Int J Environ Res Public Health. 2018;15(6):1283. 10.3390/ijerph15061283 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Ham SA, Yore MM, Kruger J, et al. Physical activity patterns among Latinos in the United States: putting the pieces together. Prev Chronic Dis. 2007;4(4):A92. http://www.ncbi.nlm.nih.gov/pmc/articles/pmc2099290/ [PMC free article] [PubMed] [Google Scholar]
- 68.Murillo R, Albrecht SS, Daviglus ML, et al. The Role of Physical Activity and Sedentary Behaviors in Explaining the Association Between Acculturation and Obesity Among Mexican-American Adults. Am J Health Promot. 2015;30(1):50–7. 10.4278/ajhp.140128-quan-49 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.Corral I, Landrine H. Acculturation and ethnic-minority health behavior: a test of the operant model. Health Psychol. 2008;27(6):737–45. 10.1037/0278-6133.27.6.737 [DOI] [PubMed] [Google Scholar]
- 70.Davis TC, Long SW, Jackson RH, et al. Rapid estimate of adult literacy in medicine: a shortened screening instrument. Fam Med. 1993;25(6):391–5. https://europepmc.org/article/med/8349060 [PubMed] [Google Scholar]
- 71.Lee SY, Stucky BD, Lee JY, et al. Short Assessment of Health Literacy-Spanish and English: a comparable test of health literacy for Spanish and English speakers. Health Serv Res. 2010;45(4):1105–20. 10.1111/j.1475-6773.2010.01119.x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.Reid EK, Castro Y, Strong LL, et al. Researching cancer risk behaviors among bilingual Latinos using technology and an intensive longitudinal design. SAGE Publications Ltd; 2018. 10.4135/9781526429346 [DOI] [Google Scholar]
- 73.Rodriguez N, Mira CB, Paez ND, et al. Exploring the complexities of familism and acculturation: central constructs for people of Mexican origin. Am J Community Psychol. 2007;39(1-2):61–77. 10.1007/s10464-007-9090-7 [DOI] [PubMed] [Google Scholar]
- 74.Rodriguez N, Myers HF, Mira CB, et al. Development of the Multidimensional Acculturative Stress Inventory for adults of Mexican origin. Psychol Assess. 2002;14(4):451–61. 10.1037/1040-3590.14.4.451 [DOI] [PubMed] [Google Scholar]
- 75.North American Association for the Study of Obesity NHL, Blood Institute NIoHNOEI. The practical guide : identification, evaluation, and treatment of overweight and obesity in adults. National Institutes of Health, National Heart, Lung, and Blood Institute, NHLBI Obesity Education Initiative, North American Association for the Study of Obesity; 2000. http://www.worldcat.org/oclc/48578252 [Google Scholar]
- 76.Centers for Disease Control and Prevention. All About Adult BMI. Centers for Disease Control and Prevention. https://www.cdc.gov/healthyweight/assessing/bmi/adult_bmi/index.html. Published June 3,2022.Accessed June 11, 2022. [Google Scholar]
- 77.Centers for Disease Control and Prevention (CDC). Behavioral Risk Factor Surveillance System Questionnaire 2007. U.S. Department of Health and Human Services, Centers for Disease Control and Prevention; 2006. https://www.cdc.gov/brfss/questionnaires/pdf-ques/2007brfss.pdf [Google Scholar]
- 78.U.S. Department of Health and Human Services. Physical Activity Guidelines for Americans. 2nd ed. U.S. Department of Health and Human Services; 2018. https://health.gov/sites/default/files/2019-09/Physical_Activity_Guidelines_2nd_edition.pdf [Google Scholar]
- 79.Muthén LK, Muthén BO. Mplus User’s Guide. 8th ed. Los Angeles, CA: Muthén & Muthén; 2017. https://www.statmodel.com/download/usersguide/MplusUserGuideVer_8.pdf [Google Scholar]
- 80.MacKinnon DP, Krull JL, Lockwood CM. Equivalence of the mediation, confounding and suppression effect. Prev Sci. 2000;1(4):173–81. 10.1023/a:1026595011371 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81.Droomers M, Schrijvers CT, Mackenbach JP. Educational level and decreases in leisure time physical activity: predictors from the longitudinal GLOBE study. J Epidemiol Community Health. 2001;55(8):562–8. 10.1136/jech.55.8.562 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82.Scholes S, Bann D. Education-related disparities in reported physical activity during leisure-time, active transportation, and work among US adults: repeated cross-sectional analysis from the National Health and Nutrition Examination Surveys, 2007 to 2016. BMC Public Health. 2018;18(1):926. 10.1186/s12889-018-5857-z [DOI] [PMC free article] [PubMed] [Google Scholar]
- 83.Shaw BA, Spokane LS. Examining the association between education level and physical activity changes during early old age. J Aging Health. 2008;20(7):767–87. 10.1177/0898264308321081 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 84.Juarbe T, Turok XP, Pérez-Stable EJ. Perceived benefits and barriers to physical activity among older Latina women. West J Nurs Res. 2002;24(8):868–86. 10.1177/019394502237699 [DOI] [PubMed] [Google Scholar]
- 85.Katiria Perez G, Cruess D. The impact of familism on physical and mental health among Hispanics in the United States. Health Psychol Rev. 2014;8(1):95–127. 10.1080/17437199.2011.569936 [DOI] [PubMed] [Google Scholar]
- 86.Halgunseth LC, Ispa JM, Rudy D. Parental control in Latino families: an integrated review of the literature. Child Dev. 2006;77(5):1282–97. 10.1111/j.1467-8624.2006.00934.x [DOI] [PubMed] [Google Scholar]
- 87.Sabogal F, Marín G, Otero-Sabogal R, et al. Hispanic familism and acculturation: What changes and what doesn’t? Hisp J Behav Sci. 1987;9(4):397–412. 10.1177/07399863870094003 [DOI] [Google Scholar]
- 88.Niemann YF. Stereotypes of Chicanas and Chicanos: Impact on Family Functioning, Individual Expectations, Goals, and Behavior. The handbook of Chicana/o psychology and mental health. Lawrence Erlbaum Associates Publishers; 2004:61–82. 10.4324/9781410610911 [DOI] [Google Scholar]
- 89.Nuñez A, González P, Talavera GA, et al. Machismo, Marianismo, and Negative Cognitive-Emotional Factors: Findings From the Hispanic Community Health Study/Study of Latinos Sociocultural Ancillary Study. J Lat Psychol. 2016;4(4):202–17. 10.1037/lat0000050 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 90.D’Alonzo KT, Fischetti N. Cultural beliefs and attitudes of Black and Hispanic college-age women toward exercise. J Transcult Nurs. 2008;19(2):175–83. 10.1177/1043659607313074 [DOI] [PubMed] [Google Scholar]
- 91.Evenson KR, Sarmiento OL, Tawney KW, et al. Personal, social, and environmental correlates of physical activity in North Carolina Latina immigrants. Am J Prev Med. 2003;25(3 Suppl 1):77–85. 10.1016/s0749-3797(03)00168-5 [DOI] [PubMed] [Google Scholar]
- 92.Lee SH, Im EO. Ethnic differences in exercise and leisure time physical activity among midlife women. J Adv Nurs. 2010;66(4):814–27. 10.1111/j.1365-2648.2009.05242.x [DOI] [PubMed] [Google Scholar]
- 93.Heesch KC, Mâsse LC, Dunn AL. Using Rasch modeling to re-evaluate three scales related to physical activity: enjoyment, perceived benefits and perceived barriers. Health Educ Res. 2006;21 Suppl 1:i58–72. 10.1093/her/cyl054 [DOI] [PubMed] [Google Scholar]
- 94.Bautista L, Reininger B, Gay JL, et al. Perceived barriers to exercise in Hispanic adults by level of activity. J Phys Act Health. 2011;8(7):916–25. 10.1123/jpah.8.7.916 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 95.Marshall SJ, Jones DA, Ainsworth BE, et al. Race/ethnicity, social class, and leisure-time physical inactivity. Med Sci Sports Exerc. 2007;39(1):44–51. 10.1249/01.mss.0000239401.16381.37 [DOI] [PubMed] [Google Scholar]
- 96.Ramirez AG, Chalela P, Gallion K, et al. Energy balance feasibility study for Latinas in Texas: a qualitative assessment. Prev Chronic Dis. 2007;4(4):A98. http://www.ncbi.nlm.nih.gov/pmc/articles/pmc2099295/ [PMC free article] [PubMed] [Google Scholar]
- 97.Martinez SM, Arredondo EM, Perez G, et al. Individual, social, and environmental barriers to and facilitators of physical activity among Latinas living in San Diego County: focus group results. Fam Community Health. 2009;32(1):22–33. 10.1097/01.fch.0000342814.42025.6d [DOI] [PMC free article] [PubMed] [Google Scholar]
- 98.Belza B, Steele BG, Hunziker J, et al. Correlates of physical activity in chronic obstructive pulmonary disease. Nurs Res. 2001;50(4):195–202. 10.1097/00006199-200107000-00003 [DOI] [PubMed] [Google Scholar]
- 99.Oluyomi AO, Whitehead LW, Burau KD, et al. Physical activity guideline in Mexican-Americans: does the built environment play a role? J Immigr Minor Health. 2014;16(2):244–55. 10.1007/s10903-012-9724-1 [DOI] [PubMed] [Google Scholar]
- 100.Diez Roux AV, Evenson KR, McGinn AP, et al. Availability of recreational resources and physical activity in adults. Am J Public Health. 2007;97(3):493–9. 10.2105/ajph.2006.087734 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 101.Powell LM, Slater S, Chaloupka FJ, et al. Availability of physical activity-related facilities and neighborhood demographic and socioeconomic characteristics: a national study. Am J Public Health. 2006;96(9):1676–80. 10.2105/ajph.2005.065573 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 102.Sallis JF, Saelens BE, Frank LD, et al. Neighborhood built environment and income: examining multiple health outcomes. Soc Sci Med. 2009;68(7):1285–93. 10.1016/j.socscimed.2009.01.017 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 103.Eyler AA, Brownson RC, Donatelle RJ, et al. Physical activity social support and middle- and older-aged minority women: results from a US survey. Soc Sci Med. 1999;49(6):781–9. 10.1016/s0277-9536(99)00137-9 [DOI] [PubMed] [Google Scholar]
- 104.Mier N, Medina AA, Ory MG. Mexican Americans with type 2 diabetes: perspectives on definitions, motivators, and programs of physical activity. Prev Chronic Dis. 2007;4(2):A24. http://www.ncbi.nlm.nih.gov/pmc/articles/pmc1893123/ [PMC free article] [PubMed] [Google Scholar]
- 105.Schwartz SJ, Park IJ, Huynh Q-L, et al. The American Identity Measure: Development and validation across ethnic group and immigrant generation. Identity. 2012;12(2):93–128. 10.1080/15283488.2012.668730 [DOI] [Google Scholar]
- 106.Zea MC, Asner-Self KK, Birman D, et al. The abbreviated multidimensional acculturation scale: empirical validation with two Latino/Latina samples. Cultur Divers Ethnic Minor Psychol. 2003;9(2):107–26. 10.1037/1099-9809.9.2.107 [DOI] [PubMed] [Google Scholar]
- 107.Schwartz SJ, Pantin H, Sullivan S, et al. Nativity and years in the receiving culture as markers of acculturation in ethnic enclaves. J Cross Cult Psychol. 2006;37(3):345–53. 10.1177/0022022106286928 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 108.Satia-Abouta J, Patterson RE, Neuhouser ML, et al. Dietary acculturation: applications to nutrition research and dietetics. J Am Diet Assoc. 2002;102(8):1105–18. 10.1016/s0002-8223(02)90247-6 [DOI] [PubMed] [Google Scholar]
- 109.Pan L, Sherry B, Njai R, et al. Food insecurity is associated with obesity among US adults in 12 states. J Acad Nutr Diet. 2012;112(9):1403–9. 10.1016/j.jand.2012.06.011 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 110.Valdez Z, Ramírez AS, Estrada E, et al. Community Perspectives on Access to and Availability of Healthy Food in Rural, Low-Resource, Latino Communities. Prev Chronic Dis. 2016;13:E170. 10.5888/pcd13.160250 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 111.Ayala GX, Rogers M, Arredondo EM, et al. Away-from-home food intake and risk for obesity: examining the influence of context. Obesity (Silver Spring). 2008;16(5):1002–8. 10.1038/oby.2008.34 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 112.Lachat C, Nago E, Verstraeten R, et al. Eating out of home and its association with dietary intake: a systematic review of the evidence. Obes Rev. 2012;13(4):329–46. 10.1111/j.1467-789x.2011.00953.x [DOI] [PubMed] [Google Scholar]
- 113.Wiklund P. The role of physical activity and exercise in obesity and weight management: Time for critical appraisal. J Sport Health Sci. 2016;5(2):151–4. 10.1016/j.jshs.2016.04.001 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 114.Silfee V, Lemon S, Lora V, et al. Sedentary Behavior and Cardiovascular Disease Risk Factors among Latino Adults. J Health Care Poor Underserved. 2017;28(2):798–811. 10.1353/hpu.2017.0075 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 115.Sallis JF, Saelens BE. Assessment of physical activity by self-report: status, limitations, and future directions. Res Q Exerc Sport. 2000;71 Suppl 2:1–14. 10.1080/02701367.2000.11082780 [DOI] [PubMed] [Google Scholar]
- 116.Nyholm M, Gullberg B, Merlo J, et al. The validity of obesity based on self-reported weight and height: Implications for population studies. Obesity (Silver Spring). 2007;15(1):197–208. 10.1038/oby.2007.536 [DOI] [PubMed] [Google Scholar]