Health Promotion Perspectives. 10(4):366-372. doi: 10.34172/hpp.2020.55Original Article
Relationship of perceived environmental characteristics to self-efficacy and leisure time physical activity among Asian immigrants in the U.S.
Jaehyun Kim 1, *, Andrew J. Mowen 2, Benjamin D. Hickerson 3, Alan Graefe 2, Melissa Bopp 4
1Department of Recreation, Therapeutic Recreation, and Tourism, State University of New York, College at Brockport, Brockport, NY
2Department of Recreation, Park, and Tourism Management, The Pennsylvania State University, University Park, PA, USA
3Department of Community and Therapeutic Recreation, University of North Carolina at Greensboro, Greensboro, NC, USA
4Department of Kinesiology, The Pennsylvania State University, University Park, PA, USA
*Corresponding Author:
Jaehyun Kim, Email: jakim@brockport.edu
Abstract
Background: Given the high prevalence of physical inactivity among Asian immigrants and its potential negative effects on health, more attention should be paid to identifying factors that might affect their participation in leisure time physician activity (LTPA). This study examined how perceived environmental characteristics are related to self-efficacy and LTPA among Asian immigrants in the United States.
Methods: This cross-sectional study collected data from an on-line survey administered through Qualtrics, a web-based survey software company. In the data analysis, 512 Asian immigrants were included. As independent variables, we assessed perceived environmental characteristics with regard to the perceived accessibility of LTPA-related sites and neighborhood quality. As mediating and outcome variables, we measured self-efficacy and LTPA, respectively. Using AMOS version 22, a path analysis was conducted to measure model fit.
Results: The perceived accessibility of the LTPA-related sites (b = 0.10, P = 0.04) and self-efficacy(b = 0.26, P = 0.001) were positively related to LTPA. Perceived neighborhood quality (b = 0.11,P = 0.012 was positively associated with self-efficacy, yet not directly associated with LTPA. Self-efficacy mediated the relationship between the perceived accessibility of LTPA-related sites and LTPA (estimate=0.036, 95% CI=0.015–0.067, P = 0.003).
Conclusion: This study suggests that perceiving easy access to LTPA-related sites and living in quality neighborhoods can encourage people to participate in LTPA more often by increasing their self-efficacy toward LTPA. These findings highlight a need for public infrastructural investments to improve accessibility to LTPA-related resources and neighborhood quality, which can potentially increase self-efficacy and promote LTPA among Asian immigrants.
Keywords: Environment, Self-efficacy, Physical activity, Immigrants
Copyright
© 2020 The Author(s).
This is an open access article distributed under the terms of the Creative Commons Attribution License (
http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Introduction
In 2018, 46.7% of adults in the U.S. were not regularly physically active at the recommended level for health.
1
The prevalence for physical inactivity is even more marked among underserved populations, such as immigrant populations, in the U.S.
2
Indeed, Asian Americans have consistently reported a lower prevalence of meeting leisure time physical activity (LTPA) guidelines than non-Hispanic Whites.
3-6
Studies have also found that, in general, more constraints related to LTPA (e.g., feeling unwelcome, distance to leisure resources) have been reported among ethnic minorities, especially among Asian and Hispanic/Latino individuals, than White individuals.
7,8
Given the high prevalence of physical inactivity among Asian immigrants and its potential negative effects on health, more attention should be paid to identifying factors that might affect their participation in LTPA.
Bandura
9
indicated that self-efficacy is an important prerequisite for adopting healthy behaviors (e.g., LTPA). For the purpose of this study, self-efficacy is defined as an Asian immigrant’s confidence in adhering to LTPA in the face of difficult barriers. A number of studies have shown that immigrants with high levels of self-efficacy were significantly more likely to be physically active than immigrants with low self-efficacy.
10,11
Daniel et al
12
revealed that self-efficacy was more strongly associated with LTPA than educational attainment, general health status, and depression among Asian Indian immigrants in the U.S. As such, it is imperative to examine factors that can enhance self-efficacy levels among Asian immigrants.
Prior research has examined how the physical environment correlates to LTPA across diverse ethnic groups. Specifically, convincing evidence for positive associations have been found between LTPA and the availability of LTPA facilities
13,14
and proximity to LTPA facilities.
15
For example, Taylor and his colleagues
16
found that improvements in physical environments for physical activity, such as more bicycle trails, more senior recreation centers, and free gyms, appeared to be important for LTPA. In addition, certain neighborhood characteristics, such as sidewalks, heavy traffic, street lights, unattended dogs, and neighborhood crime rates, have been found to be associated with LTPA.
13,14,17,18
In previous immigrant studies, perceived neighborhood safety was found to be the most commonly reported contributor to LTPA participation.
17,19-23
As discussed above, numerous studies have examined the relationships between physical environments and LTPA and between intrapersonal factors and LTPA; however, only a few studies
20,24-26
have collectively considered the extent to which the physical contexts in which LTPA might occur might influence self-efficacy and LTPA. For example, Motl and colleagues
25
found an indirect effect of the perceived physical environment (i.e., accessibility to physical activity equipment) on adolescent girls’ physical activity through its effect on an intrapersonal factor (i.e., self-efficacy). Davidson et al
20
identified neighborhood satisfaction and the presence of sidewalks and parks in neighborhoods as significant determinants of self-efficacy and LTPA. Despite the empirical contributions from previous studies, these investigations mainly studied adolescents and older women.
Taken together, previous findings have indicated that the perceived accessibility of LTPA-related facilities, neighborhood safety, and self-efficacy were associated with LTPA.
27,28
In this sense, it is expected that the perceived accessibility of LTPA-related sites, neighborhood quality, and self-efficacy will play a significant role in promoting LTPA among Asian immigrants. To date, however, few studies
29
have considered these individual and environmental factors collectively in a sample of Asian immigrants. To address this research gap, we examined the extent to which physical environments (i.e., perceived accessibility of the LTPA sites, neighborhood quality) influenced an intrapersonal factor (i.e., self-efficacy) and behavior (i.e., L TPA).
Materials and Methods
Sample and data collection
This cross-sectional study collected date from an on-line survey administered through Qualtrics, a web-based survey software company. This survey was conducted from January 15 to March 30, 2017. Through Qualtrics, the online survey was administered to a nation-wide convenience sample of adult Chinese, Japanese, and Korean immigrants living in the U.S. Specifically, inclusion criteria for the target population of this study were as follows: (1) self-identified original ethnicity of Chinese, Japanese, or Korean; (2) must have been born in his/her country of origin and immigrated to the U.S.; (3) must live in an urban area with a population of 50 000 or more; and (4) must be an adult (i.e., 18-years-old or older) who has permanently settled in the U.S. The respondents’ demographic characteristics are shown in Table 1.
Table 1.
Socio-demographics of the sample of Asian immigrants
Variable
|
No. (%) or Mean (SD)
|
Overall (N = 511)
|
Income |
|
$14,999 or less | 21 (4.1) |
$15,000 to $29,999 | 27 (5.3) |
$30,000 to $49,999 | 55 (10.8) |
$50,000 to $74,999 | 109 (21.3) |
$75,000 or more | 299 (58.5) |
Age | 46 years (SD=13) |
18-35 | 123 (24) |
36-50 | 215 (42) |
51-64 | 107 (21) |
65 and older | 66 (13) |
Education |
|
Middle school | 5 (1) |
High school | 92 (18) |
Bachelor's degree | 221 (43.2) |
Master's degree | 129 (25.2) |
Ph.D. | 60 (11.7) |
Not sure | 4 (<1) |
Gender |
|
Male | 167 (32.7) |
Female | 344 (67.3) |
Length of residence in the US (y) | 18 (SD=13) |
Qualtrics attempts to ensure the quality of the data via a double opt-in process, asking potential respondents to complete the profile survey and verify his/her email address. Thus, it has been shown that online panels, especially Qualtrics, offer high quality and reliable data.
30
Qualtrics initially recruited 828 Asian immigrants who were interested in participating in the survey. We excluded the respondents who did not meet the inclusion criteria or answered less than 80% of the questions. Finally, 511 of the 828 surveys (completion rate = 61.7%) were included in the data analysis. A priori power analysis with a G*Power (version 3.0) was used to estimate adequate sample size for testing Goodness-of-fit. With an alpha = 0.05, power = 0.8, and expected effect size = 0.50, the proposed sample size was approximately N = 115 for this study. The present study included a total of 511 surveys in the data analysis, which satisfies the aforementioned criteria.
Measures
Perceived accessibility of LTPA-related sites was assessed with a combination of two measures: (1) the self-rated importance of LTPA-related sites and (2) the availability of the LTPA-related sites in the respondent’s neighborhood.
31
We selected seven types of LTPA sites: walking trail; parks, playgrounds, or sports fields; swimming pool; public recreation centers; school recreation facilities open to the public; beach, lake, river, or creek; and bicycle paths or bike trails.
32
Importance was measured by asking “Please rate the importance of having access to the listed sites or facilities for you to perform leisure time physical activities you like, regardless of whether your neighborhood has them” with each site listed. Each item was assessed with a 5-point Likert-type scale (1 = not at all important to 5 = very important). To assess the availability , the respondents were asked to indicate whether they have those sites in their communities (1 = yes to -1 = no). Finally, in order to create a perceived accessibility variable, we multiplied the importance by the availability and then added ‘Five (5)’ to all values so as to have only positive values in the data. Thus, higher scores in the range of -5 to 5 indicated higher accessibility of LTPA sites in the neighborhood. In this study, the importance and availability scales yielded a Cronbach’s α of 0.85 and 0.76, respectively.
In order to measure neighborhood quality, seven characteristics (i.e., well-maintained sidewalks, enjoyable scenery, less traffic, street lights, dogs on leashes, good air quality, and low neighborhood crime activity) were derived from Brownson et al’s study.
33
Using this characteristic, existence was assessed through the following question: ‘‘Does your neighborhood have...?’’ The respondents were to answer either yes or no. The items were summed and higher scores in the range of 0 to 7 referred to more favorable perceptions of neighborhood quality. The seven items in this scale yielded a Cronbach’s α of .71.
Self-efficacy for LTPA was measured using 13 modified items derived from Barriers Self-Efficacy Scale (BARSE).
34
Examples of the items include “I believe that I could participate in leisure time physical activity if I had to do the activity alone.” and “I believe that I could participate in leisure time physical activity if the weather was very bad.” The respondents were asked to rate their degrees of confidence by specifying a number from (0) “not at all confident” to (100) “highly confident” with (50) “moderately confident” falling in the middle. The items were summed and divided by the total number of items. Thus, higher scores in the range of 0 to 1300 indicated higher levels of self-efficacy among Asian immigrants. The self-efficacy scale yielded a Cronbach’s α of 0.91.
LTPA was assessed using the Global Physical Activity Questionnaire (GPAQ), in which the respondents were asked to report the number of days and duration of the vigorous and moderate intensity leisure activities that they undertook in a typical week. Vigorous and moderate intensity referred to 8.0 and 4.0 METs, respectively. Continuous scores for LTPA were calculated as total MET-minutes per week as in the following:
We considered the respondents’ demographics (i.e., age, gender, annual household income, and length of residence in the U.S.) to be the control variables. In prior research, these specific demographic factors were shown to affect LTPA among immigrant populations.
35-37
Data analysis
The data was analyzed using PAWS® Statistics 18 (IBM Corporation Armonk, NY, USA) and AMOS version 22.0 (Amos Development Corporation, Meadville, PA, USA). First, the descriptive statistics for the demographic (Table 1) and study variables (Table 2) was generated. Second, the Cronbach’s alpha coefficients were used to measure the internal consistency of the observed variables. A value of 0.70 or higher is considered as an acceptable reliability coefficient.
38
A path analysis using AMOS was conducted to test the relationships among perceived accessibility of the LTPA sites, perceived neighborhood quality, and self-efficacy among Asian immigrants. The model fit was assessed using χ2statistic, SRMR, RMSEA, CFI, and GFI. For SRMR and RMSEA, values of 0.06 or less indicated good model fit, while for CFI and TLI, values of at least 0.95 indicated good fit.
39
Following model testing, bootstrapping procedures
40
was used to examine whether LTPA had a significant indirect effect on the relationship between emotional support and mental health.
Table 2.
Pearson correlations of independent variables and leisure time physical activity (LTPA)
Variable
|
1.
|
2.
|
3.
|
4.
|
1. Accessibility of LTPA-related sites | 1 |
|
|
|
2. Neighborhood quality | 0.24** | 1 |
|
|
3. Self-efficacy | 0.17** | 0.15** | 1 |
|
4. LTPA | 0.13** | 0.08 | 0.27** | 1 |
* P < 0.05. **P < 0.001.
Results
Study participants
Table 1 describes socio-demographics of the sample of Asian immigrants in this study. The largest household income group was $75 000 or more (58.5%), followed 21.3% who reported annual household income from $50 000 to $74 999. The mean age was 46 years. The most common age group was 36 to 50 years old (42%), followed by 18-35 years old (24%) and 51-64 years old (21%). The most common educational level attained by Asian immigrants was a Bachelor’s degree (43.2%), followed by a master’s degree (25.2%) and a doctorate degree (11.7%). The sample of 511 participants was comprised of 344 females (67.3%), and 167 males (32.7%).
Correlation analysis
Table 3 shows the bivariate correlations among the variables. Among the Asian immigrants, the perceived accessibility of the LTPA sites (r = 0.13, P < 0.001) and self-efficacy (r = 0.27, P < 0.001) were positively correlated with LTPA. In this study, perceived neighborhood quality (r = 0.06, P > 0.05) was not correlated with LTPA. Moreover, perceived accessibility of the LTPA sites (r = 0.17, P < 0.001) and perceived neighborhood quality (r = 0.15, P < 0.001) were positively correlated with self-efficacy. As shown above, some correlations coefficients were weak, but significant. The results may be because the sample size is large enough to make a small effect significant.
Table 3.
Direct effects on leisure time physical activity (LTPA)
Dependent Variable and Path
|
β (SE)
|
t-value
|
R
2
|
LTPA
|
|
|
|
|
0.11
|
Accessibility of LTPA-related sites | → | LTPA | 0.10 (0.04) | 2.02* | - |
Neighborhood quality | → | LTPA | 0.02 (4.11) | 0 .41 | - |
Self-efficacy | → | LTPA | 0.26 (0.00) | 5.98*** | - |
Self-efficacy
|
|
|
|
|
0.06
|
Accessibility of LTPA-related sites | → | Self-efficacy | 0.14 (7.97) | 3.13** | - |
Neighborhood quality | → | Self-efficacy | 0.11 (4.11) | 2.51* | - |
Path analysis
The study model provided an acceptable fit to the data (χ2(df =4) = 4.133, P = 0.388; RMSEA = 0.008; SRMR = 0.013; CFI = 0.998; TLI = 0.997). The results from the path analysis (Table 2) indicated that the perceived accessibility of the LTPA sites (b = 0.10, P < 0.05) and self-efficacy (b = 0.26, P < 0.05) had direct effects on LTPA. However, perceived neighborhood quality was not associated with LTPA (b = 0.02, P > 0.05). The results also indicated that both the perceived accessibility of the LTPA sites (b = 0.14, P < 0.05) and neighborhood quality (b = 0.11, P < 0.05) had direct positive effects on self-efficacy.
Using a bootstrapping method,
40
we conducted a mediation test for the pathway from perceived accessibility of LTPA sites to LTPA through self-efficacy. The results (Table 4) showed a significant indirect effect of self-efficacy on the relationship between the perceived accessibility of the LTPA sites and LTPA (estimate = 0.036, 95% CI = 0.015–0.067, P < 0.05). This means that the perceived accessibility of the LTPA increased the levels of LTPA self-efficacy and ultimately, led to LTPA participation among Asian immigrants.
Table 4.
Mediation test: Total, direct, and indirect effects with 95% confidence intervals
Effect
|
Estimate
|
95 % CI
|
Total effect | 0.125* | [0.035; 0.217] |
Direct effect | 0.089* | [0.003; 0.176] |
Indirect effect (through self-efficacy) | 0.036* | [0.015; 0.067] |
* P < 0.05.
Overall, the model explained 6% of the variance in self-efficacy and 11% of the variance in LTPA. A final path model with the standardized coefficients and the square root (R2) is presented in .
Figure 1.
Final path model of leisure time physical activity among Asian immigrants.* P < 0.05. **P < 0.01 ***P < 0.001
Discussion
This study aimed to examine LTPA-related physical and neighborhood environments as potential environmental factors that might affect self-efficacy and LTPA. One of the most unique and interesting findings was that the perceived accessibility of LTPA-related sites (e.g., walking/bike trails, parks/sports fields) was positively related to LTPA, both directly and indirectly, through its positive effect on self-efficacy. That is, Asian immigrants who believed that they had more access to LTPA-related sites were more likely to have self-efficacy and participate in LTPA more often. Moreover, we found that a better quality of neighborhood, such as neighborhoods with less traffic, well-functioning streetlights, and lower criminal rates, encouraged people to participate in LTPA by their improving self-efficacy for LTPA. Our findings were aligned with previous studies that suggested that perceived environment can directly and indirectly affect LTPA behaviors through individual-level perceptions (i.e., self-efficacy).
24-26,41
Indeed, a recent review study
41
identified both direct and indirect effects of environmental accessibility (e.g., walkability) on LTPA through increased self-efficacy. The authors also suggested that assessing both self-efficacy and environmental factors has been a common practice when explaining LTPA. In light of these findings, a need exists for developing more comprehensive interventions to address both individual-level perceptions and environmental factors influencing physical activity behaviors.
This study suggests practical implications related to promoting LTPA among Asian immigrants. First, a need exists for public infrastructural investments to improve accessibility to LTPA-related resources and of neighborhood quality. Prior research has suggested that local infrastructure investments to improve access to parks, bicycle paths, sports facilities, sidewalks, and public lighting can promote LTPA among residents and, subsequently, improve their health.
15,18,42-44
PPrior to infrastructure investments, however, it will be essential for policy-makers and public health professionals to determine specific LTPA-related sites and neighborhood characteristics associated with self-efficacy and LTPA.
45,46
Such information may inform practitioners and policy-makers about what types and levels of investments should be their priorities.
Considering that our study measured the perceived accessibility of LTPA-related facilities and resources (rather than a direct mapping of these resources), it is possible that the respondents were simply not aware of these resources, even though they actually had them in their communities. Individuals are unlikely to use facilities and programs if they are not fully aware of the amenities and programs offered.
47
It is, therefore, essential to increase the awareness of accessible LTPA-related resources in neighborhoods. Researchers have suggested that media-based campaigns, such as through print materials, local radio and television, and community events, are effective in reaching large numbers of people and, thus, increasing public awareness of accessible LTPA-related sites.
26,44,48
We found that self-efficacy was most strongly related to LTPA and, as such, improving LTPA self-efficacy among Asian immigrants is another critical implication. With regard to LTPA promotion, prior studies have emphasized the importance of effective interventions to increase individuals’ self-efficacy levels.
18,19,43
For example, Ashford and colleagues
49
reviewed 27 interventions to identify specific intervention techniques used for changing participants’ self-efficacy toward physical activity. They revealed that certain interventions, such as vicarious experiences (i.e., seeing others perform physical activities), feedback on physical activity performances from interventionists, and helping identify barriers to physical activity, were found to be effective for increasing physical activity self-efficacy. Consideration of such information could help inform public health professionals about how to develop intervention programs to promote self-efficacy and LTPA among Asian immigrants.
Several limitations exist within the present study. First, the design of the present study was cross-sectional; thus, no causality can be made between the study variables. Instead, the relationship between the variables should be considered reciprocal. For example, this study found that those participants who perceived having a higher level of accessibility to LTPA-related sites were more likely to engage in LTPA. However, it may also be that those individuals who participated in LTPA more often were simply more aware of the LTPA-related sites available to them. Future work, especially prospective studies, could examine the extent to which physical environmental features influence LTPA over time. Second, all of the physical environmental variables assessed in this study were self-reported. It would be interesting if future research could compare objective and perceived accessibility of LTPA-related facilities and examine the relative contribution of those to LTPA. This effort could further clarify the influence of perceived environments on health behaviors among Asian immigrants. Finally, the questionnaires were only written in English; thus, those individuals who were not proficient in English might have been excluded from this study. Given that Asian immigrants often face language barriers,
4,50
our findings may not be generalizable to all Asian immigrants living in the U.S. Future research could use translated survey instruments to address this issue.
Conclusion
This study provides evidence that perceiving easy access to LTPA-related sites and living in quality neighborhoods can encourage people to participate in LTPA more often by increasing their self-efficacy toward LTPA. In particular, we confirmed that self-efficacy plays a significant mediating or direct role in promoting LTPA among Asian immigrants. Collectively, the present study expanded the literature by exploring the relationship among perceived physical environments, self-efficacy, and LTPA in a sample of Asian immigrants. More importantly, these findings demonstrate a critical need for public infrastructural investments to improve the accessibility of LTPA-related facilities and resources and neighborhood quality, which can increase self-efficacy and promote LTPA among Asian immigrants.
Funding
No funding was received for this study.
Competing interests
There is no conflict of interest or, alternatively, disclosing any conflict of interest that may exist.
Ethical approval
This research was exempt from further review by Pennsylvania State University’s Internal Review Board (IRB) because it does not meet the criteria for human involving subjects’ research.
Authors’ contributions
The first author (JK) proposed a research idea and write on the sections of Background and Theoretical Framework. Then, the first author had worked on analyzing the collected data with the second author (AJM) and fifth author (MB). The third author (BDH) and fourth author (AG) commented on the Methods and Results sections. All authors discussed the results and implications and commented on the manuscript at all stages.
References
-
Centers for Disease Control and Prevention (CDC). Early Release of Selected Estimates Based on Data From the 2018 National Health Interview Survey. https://www.cdc.gov/nchs/nhis/releases/released201905.htm. Available from: Accessed April 10, 2020.
- Yancey AK, Ory MG, Davis SM. Dissemination of physical activity promotion interventions in underserved populations. Am J Prev Med 2006; 31(4 Suppl):S82-91. doi: 10.1016/j.amepre.2006.06.020 [Crossref]
-
Centers for Disease Control and Prevention. Summary Health Statistics: National Health Interview Survey, 2018. Available from: https://www.cdc.gov/nchs/nhis/shs/tables.htm. Accessed April 10, 2020.
-
Yi SS, Roberts C, Lightstone AS, Shih M, Trinh-Shevrin C. Disparities in meeting physical activity guidelines for Asian-Americans in two metropolitan areas in the United States. Ann Epidemiol 2015;25(9):656-60.e2. 10.1016/j.annepidem.2015.05.002
- Maxwell AE, Crespi CM, Alano RE, Sudan M, Bastani R. Health risk behaviors among five Asian American subgroups in California: identifying intervention priorities. J Immigr Minor Health 2012; 14(5):890-4. doi: 10.1007/s10903-011-9552-8 [Crossref]
- Tremblay MS, Bryan SN, Pérez CE, Ardern CI, Katzmarzyk PT. Physical activity and immigrant status: evidence from the Canadian Community Health Survey. Can J Public Health 2006; 97(4):277-82. doi: 10.1007/bf03405603 [Crossref]
-
Covelli EA, Burns RC, Graefe A. Perceived constraints by non-traditional users on the Mt. Baker-Snoqualmie National Forest. In: Burns R, Robinson K, eds. Proceedings of the 2006 Northeastern Recreation Research Symposium. Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northern Research Station; 2007.
- Stanis SA, Schneider IE, Chavez DJ, Shinew KJ. Visitor constraints to physical activity in park and recreation areas: differences by race and ethnicity. J Park Recreat Admi 2009; 27(3):78-95.
-
Bandura A. Self-Efficacy in Changing Societies. New York, NY: Cambridge University Press; 1995.
- Choi J, Wilbur J, Miller A, Szalacha L, McAuley E. Correlates of leisure-time physical activity in Korean immigrant women. West J Nurs Res 2008; 30(5):620-38. doi: 10.1177/0193945907310645 [Crossref]
- Eyler AA, Matson-Koffman D, Young DR, Wilcox S, Wilbur J, Thompson JL. Quantitative study of correlates of physical activity in women from diverse racial/ethnic groups: the Women’s Cardiovascular Health Network Project--summary and conclusions. Am J Prev Med 2003; 25(3 Suppl 1):93-103. doi: 10.1016/s0749-3797(03)00170-3 [Crossref]
- Daniel M, Wilbur J, Fogg LF, Miller AM. Correlates of lifestyle: physical activity among South Asian Indian immigrants. J Community Health Nurs 2013; 30(4):185-200. doi: 10.1080/07370016.2013.838482 [Crossref]
- Huston SL, Evenson KR, Bors P, Gizlice Z. Neighborhood environment, access to places for activity, and leisure-time physical activity in a diverse North Carolina population. Am J Health Promot 2003; 18(1):58-69. doi: 10.4278/0890-1171-18.1.58 [Crossref]
- Wilcox S, Castro C, King AC, Housemann R, Brownson RC. Determinants of leisure time physical activity in rural compared with urban older and ethnically diverse women in the United States. J Epidemiol Community Health 2000; 54(9):667-72. doi: 10.1136/jech.54.9.667 [Crossref]
- Evenson KR, Sarmiento OL, Tawney KW, Macon ML, Ammerman AS. Personal, social, and environmental correlates of physical activity in North Carolina Latina immigrants. Am J Prev Med 2003; 25(3 Suppl 1):77-85. doi: 10.1016/s0749-3797(03)00168-5 [Crossref]
- Taylor WC, Sallis JF, Lees E, Hepworth JT, Feliz K, Volding DC. Changing social and built environments to promote physical activity: recommendations from low income, urban women. J Phys Act Health 2007; 4(1):54-65. doi: 10.1123/jpah.4.1.54 [Crossref]
- King AC, Castro C, Wilcox S, Eyler AA, Sallis JF, Brownson RC. Personal and environmental factors associated with physical inactivity among different racial-ethnic groups of U.S. middle-aged and older-aged women. Health Psychol 2000; 19(4):354-64. doi: 10.1037//0278-6133.19.4.354 [Crossref]
- Lee C, Moudon AV. Neighbourhood design and physical activity. Build Res Inf 2008; 36(5):395-411. doi: 10.1080/09613210802045547 [Crossref]
- Carlson JA, Bracy NL, Sallis JF, Millstein RA, Saelens BE, Kerr J. Sociodemographic moderators of relations of neighborhood safety to physical activity. Med Sci Sports Exerc 2014; 46(8):1554-63. doi: 10.1249/mss.0000000000000274 [Crossref]
- Davidson Z, Simen-Kapeu A, Veugelers PJ. Neighborhood determinants of self-efficacy, physical activity, and body weights among Canadian children. Health Place 2010; 16(3):567-72. doi: 10.1016/j.healthplace.2010.01.001 [Crossref]
- Janssen I. Crime and perceptions of safety in the home neighborhood are independently associated with physical activity among 11-15 year olds. Prev Med 2014; 66:113-7. doi: 10.1016/j.ypmed.2014.06.016 [Crossref]
- Ross CE. Walking, exercising, and smoking: does neighborhood matter?. Soc Sci Med 2000; 51(2):265-74. doi: 10.1016/s0277-9536(99)00451-7 [Crossref]
- Ruchlin HS, Lachs MS. Prevalence and correlates of exercise among older adults. J Appl Gerontol 1999; 18(3):341-57. doi: 10.1177/073346489901800305 [Crossref]
- Morris KS, McAuley E, Motl RW. Self-efficacy and environmental correlates of physical activity among older women and women with multiple sclerosis. Health Educ Res 2008; 23(4):744-52. doi: 10.1093/her/cym067 [Crossref]
- Motl RW, Dishman RK, Ward DS, Saunders RP, Dowda M, Felton G. Perceived physical environment and physical activity across one year among adolescent girls: self-efficacy as a possible mediator?. J Adolesc Health 2005; 37(5):403-8. doi: 10.1016/j.jadohealth.2004.10.004 [Crossref]
- Motl RW, Dishman RK, Saunders RP, Dowda M, Pate RR. Perceptions of physical and social environment variables and self-efficacy as correlates of self-reported physical activity among adolescent girls. J Pediatr Psychol 2007; 32(1):6-12. doi: 10.1093/jpepsy/jsl001 [Crossref]
- Dunton GF, Jamner MS, Cooper DM. Assessing the perceived environment among minimally active adolescent girls: validity and relations to physical activity outcomes. Am J Health Promot 2003; 18(1):70-3. doi: 10.4278/0890-1171-18.1.70 [Crossref]
- Saunders RP, Motl RW, Dowda M, Dishman RK, Pate RR. Comparison of social variables for understanding physical activity in adolescent girls. Am J Health Behav 2004; 28(5):426-36. doi: 10.5993/ajhb.28.5.5 [Crossref]
- Choi J, Wilbur J, Miller A, Szalacha L, McAuley E. Correlates of leisure-time physical activity in Korean immigrant women. West J Nurs Res 2008; 30(5):620-38. doi: 10.1177/0193945907310645 [Crossref]
- Roulin N. Don’t throw the baby out with the bathwater: comparing data quality of crowdsourcing, online panels, and student samples. Ind Organ Psychol 2015; 8(2):190-6. doi: 10.1017/iop.2015.24 [Crossref]
- Li K, Seo DC, Torabi MR, Peng CY, Kay NS, Kolbe LJ. Social-ecological factors of leisure-time physical activity in Black adults. Am J Health Behav 2012; 36(6):797-810. doi: 10.5993/ajhb.36.6.7 [Crossref]
-
SIP 4-99 Research Group. Environmental supports for physical activity questionn aire. Available from: urihttp://prevention.sph.sc.edu/tools/docs/Env_Supports_for_PA.pdfhttp://prevention.sph.sc.edu/tools/docs/Env_Supports_for_PA.pdf. Accessed May 8, 2019.
- Brownson RC, Baker EA, Housemann RA, Brennan LK, Bacak SJ. Environmental and policy determinants of physical activity in the United States. Am J Public Health 2001; 91(12):1995-2003. doi: 10.2105/ajph.91.12.1995 [Crossref]
- McAuley E. The role of efficacy cognitions in the prediction of exercise behavior in middle-aged adults. J Behav Med 1992; 15(1):65-88. doi: 10.1007/bf00848378 [Crossref]
- Lee SK, Sobal J, Frongillo EA Jr. Acculturation and health in Korean Americans. Soc Sci Med 2000; 51(2):159-73. doi: 10.1016/s0277-9536(99)00446-3 [Crossref]
- Yang K, Laffrey SC, Stuifbergen A, Im EO, May K, Kouzekanani K. Leisure-time physical activity among midlife Korean immigrant women in the US. J Immigr Minor Health 2007; 9(4):291-8. doi: 10.1007/s10903-007-9039-9 [Crossref]
- Voorhees CC, Rohm Young D. Personal, social, and physical environmental correlates of physical activity levels in urban Latinas. Am J Prev Med 2003; 25(3 Suppl 1):61-8. doi: 10.1016/s0749-3797(03)00166-1 [Crossref]
-
Nunnally JC. Psychometric Theory. New York: McGraw-Hill; 1978.
- Hu Lt, Bentler PM. Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Struct Equ Modeling 1999; 6(1):1-55. doi: 10.1080/10705519909540118 [Crossref]
- Preacher KJ, Hayes AF. Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behav Res Methods 2008; 40(3):879-91. doi: 10.3758/brm.40.3.879 [Crossref]
- Rhodes RE, Zhang R, Zhang CQ. Direct and indirect relationships between the built environment and individual-level perceptions of physical activity: a systematic review. Ann Behav Med 2020; 54(7):495-509. doi: 10.1093/abm/kaz068 [Crossref]
- Cutumisu N, Spence JC. Sport fields as potential catalysts for physical activity in the neighbourhood. Int J Environ Res Public Health 2012; 9(1):294-314. doi: 10.3390/ijerph9010294 [Crossref]
- Huang JH, Hipp JA, Marquet O, Alberico C, Fry D, Mazak E. Neighborhood characteristics associated with park use and park-based physical activity among children in low-income diverse neighborhoods in New York City. Prev Med 2020; 131:105948. doi: 10.1016/j.ypmed.2019.105948 [Crossref]
- Iverson DC, Fielding JE, Crow RS, Christenson GM. The promotion of physical activity in the United States population: the status of programs in medical, worksite, community, and school settings. Public Health Rep 1985; 100(2):212-24.
- Doyle S, Kelly-Schwartz A, Schlossberg M, Stockard J. Active community environments and health: the relationship of walkable and safe communities to individual health. J Am Plann Assoc 2006; 72(1):19-31. doi: 10.1080/01944360608976721 [Crossref]
- Lavizzo-Mourey R, McGinnis JM. Making the case for active living communities. Am J Public Health 2003; 93(9):1386-8. doi: 10.2105/ajph.93.9.1386 [Crossref]
-
Penbrooke TL, Layton R, Cares C, Dunlap B, Packebush D. Awareness and the Use of Parks. Available from: https://www.nrpa.org/contentassets/74db42b4c00f4c9eac3a71ad05f741b6/park-awareness-report-summary-final.pdf. Accessed February 10, 2020.
- Marcus BH, Owen N, Forsyth LH, Cavill NA, Fridinger F. Physical activity interventions using mass media, print media, and information technology. Am J Prev Med 1998; 15(4):362-78. doi: 10.1016/s0749-3797(98)00079-8 [Crossref]
- Ashford S, Edmunds J, French DP. What is the best way to change self-efficacy to promote lifestyle and recreational physical activity? a systematic review with meta-analysis. Br J Health Psychol 2010; 15(Pt 2):265-88. doi: 10.1348/135910709x461752 [Crossref]
- Kirmayer LJ, Narasiah L, Munoz M, Rashid M, Ryder AG, Guzder J. Common mental health problems in immigrants and refugees: general approach in primary care. CMAJ 2011; 183(12):E959-67. doi: 10.1503/cmaj.090292 [Crossref]