Several studies suggest that physical activity may improve health-related quality of life. Other studies have shown that participation in physical activity differs among women of different racial/ethnic groups. This study aimed to determine whether the association between physical activity and health-related quality of life differs among women aged 40 to 64 years from different racial/ethnic groups.
We explored the association between physical activity level and health-related quality of life with descriptive statistics and multiple regression analyses adjusting for potential confounders among 11,887 women aged 40 to 64 years who identified themselves as Latinas, Asians, African Americans, or whites in the 2005 California Health Interview Survey.
Although white women reported more regular physical activity than women of other racial/ethnic groups, Asian women reported fewer mentally and overall unhealthy days than women of other groups. Nonetheless, as physical activity increased, health-related quality of life improved only among white women (fewer physically unhealthy, mentally unhealthy, recent activity limitation, and overall unhealthy days) and among Latinas (fewer overall unhealthy days).
Future studies should try to confirm if and clarify why the association between physical activity level and health-related quality of life differs among these middle-aged women of different races/ethnicities. If confirmed, this association would imply that health care professionals and those who design public health interventions may need to vary their promotion methods and messages to encourage physical activity among women of different races/ethnicities.
Physical activity improves overall health and helps to prevent and reduce stress and many chronic diseases including cardiovascular diseases, type 2 diabetes, arthritis, and some forms of cancer (eg, breast and colon) (
Levels of participation in physical activity differ by race/ethnicity (
Physical activity may also improve health-related quality of life (HRQOL). For example, in one study of people with arthritis, those who were physically active reported fewer unhealthy days than those who were inactive (
However, being physically active may have different effects on HRQOL for women of different racial/ethnic groups. Some women may be physically active because it helps prevent future disease and disability, while others may be active because it improves their immediate HRQOL. The association between physical activity among middle-aged women and self-reported HRQOL among ethnic groups in the United States has not been investigated in detail. We attempted to determine whether this association differs across 4 racial/ethnic groups after adjustment for potential confounders. If women in different racial/ethnic groups experience different degrees of HRQOL from the same amount of physical activity, this may explain why women in different racial/ethnic groups vary in their participation in leisure-time physical activity. This finding may also support new strategies for health promotion and intervention targeted to different racial/ethnic groups. The purpose of this research is to determine whether the association between physical activity and HRQOL differs among California's Latina, Asian, African American, and white women aged 40 to 64 years.
We used secondary data from a cross-sectional study, the 2005 California Health Interview Survey (CHIS), a random-digit–dialed telephone survey in 5 languages completed every 2 years to observe the overall health status and other health-related characteristics of California residents. The University of California, Los Angeles, Center for Health Policy Research (UCLA-CHPR) administers CHIS. CHIS is suitable for this study's purpose because it has more than 600 women aged 40 to 64 years in each of the 4 racial/ethnic groups of interest and includes measures of physical activity and HRQOL and information about several sociodemographic and individual characteristics associated with both physical activity and HRQOL. The CHIS sample arises from multistage sampling based on 44 primary geographic sampling units identified in the first stage. Within each of these units, CHIS randomly selects and dials household telephone numbers and, at each number, chooses 1 adult (aged 18 y or older). In the 2005 CHIS, the response rate was 29.5%; 43,020 adult participants completed the survey (
In this study, 12,408 women identified themselves as aged 40 to 64 years and answered questions about race and ethnicity. This study focused on the women who identified themselves as Latinas, Asians, African Americans, and whites. This study excluded from the analysis women from smaller racial/ethnic groups including American Indians or Alaska Natives (n = 184), Pacific Islanders (n = 31), and other single or multiple races (n = 306). The final sample included 11,887 participants (
Women in CHIS responded to 4 questions about their levels of physical activity based on definitions of validated measures of vigorous and moderate activity used in the
Women in CHIS also answered validated questions about their recent HRQOL relating to the past 30 days before their interview, which are also used in the Behavioral Risk Factor Surveillance System (
For this study, other potential confounders associated with physical activity and these HRQOL measures adjusted for in the analysis included marital status, place of birth (in the United States or outside the United States), urban-rural place of residence, educational level, employment status, health insurance status, annual household income, self-rated health, and body mass index (BMI) (
To account for complex survey and sample design, we analyzed the participants' responses by using SAS-callable SUDAAN version 9.1.3 (Research Triangle Institute, Research Triangle Park, North Carolina). To describe the characteristics of the sample, we calculated percentages and means weighted by the respondents' individual sampling weight that adjusted for nonresponse. We used multiple linear regression to identify significant predictors of HRQOL while controlling for covariates listed previously. We incorporated in these regressions an interaction term combining the racial/ethnic group and level of physical activity to determine whether the effect of physical activity level on HRQOL days differed by racial/ethnic group. We employed 4 models, one for each dependent HRQOL variable selected for this study. The primary outcomes are the average predicted values of these HRQOL dependent variables at each level of the independent variables and adjusted for the effects of all the other independent variables in the model (the predicted marginals and their 95% confidence intervals [CIs] [
Based on weighted percentages, 60% of women in the sample were white, 20% were Latina, 14% were Asian, and 7% were African American (
Asian women reported fewer mean physically unhealthy days than Latina or African American women (
Asian women also reported fewer mentally unhealthy days than did women in the other racial/ethnic groups. More mentally unhealthy days were associated with having been previously married, being native-born, having a lower annual household income, and reporting worse self-rated health. Average mentally unhealthy days increased with decreasing physical activity mainly for white women (5.0 days for being regularly active vs 7.6 days for being sedentary).
Asian women also reported fewer recent activity limitation days than white women and African American women but not Latinas. Being native-born, having more education, being unemployed, having a lower annual household income, and reporting worse self-rated health were related to more recent activity limitation days. Average recent activity limitation days increased with decreasing physical activity only for white women (2.5 days for being regularly active vs 5.3 days for being sedentary).
Finally, Asian women reported the fewest overall unhealthy days. Not being currently married, being native-born, being unemployed, having a lower annual household income, and reporting worse self-rated health were associated with more average overall unhealthy days. Average overall unhealthy days increased with decreasing physical activity for Latinas (6.1 days for being regularly active vs 10.7 days for being sedentary) and white women (8.6 days for being regularly active vs 12.2 days for being sedentary) but not for Asian or African American women.
This study examined differences in the association between physical activity and HRQOL in women aged 40 to 64 years of different racial/ethnic groups. The findings that white women participated more often, and African American women less often, in regular physical activity agree with those of other studies (
Lower educational levels and annual household incomes, another factor associated with less physical activity (
Asians reported fewer mentally unhealthy days and overall unhealthy days than did the other racial/ethnic groups. African Americans and Latinas reported more overall unhealthy days than did whites or Asians, and African Americans reported more recent activity limitation days than did the other groups. Yet only whites and Latinas who engaged in either regular or some physical activity reported better HRQOL than those who were sedentary. For whites, better HRQOL reflected all measures of unhealthy days, while for Latinas increasing physical activity was associated with better HRQOL only for overall unhealthy days. These findings are robust despite adjustment for self-rated health, a strong correlate for unhealthy days.
These study findings suggest that physical activity does not have the same effect on the HRQOL of middle-aged women in different racial/ethnic groups. Being physically active may not have the same meaning for each racial/ethnic group (
The study was subject to limitations. The response rate for the 2005 CHIS was only 30%, implying that this study's findings may not represent those of California adult women (
Despite these limitations, if physical activity levels truly affect HRQOL differently for women among different racial/ethnic groups, then programs that promote physical activity to women in different racial/ethnic groups may have to emphasize benefits to both health and HRQOL for some groups and benefits only to health for other groups. Even without considering HRQOL, health care professionals should discuss the concept of being physically active with all women. Further research is necessary to confirm this study's findings and to determine whether the concept of HRQOL is meaningful and relevant for all racial/ethnic groups. Finally, surveys may need to consider an expanded definition of physical activity beyond leisure-time activity to accommodate the physical activity involved in working.
This project was supported in part by an appointment to the Research Participation Program for the Centers for Disease Control and Prevention (CDC) administered by the Oak Ridge Institute for Science and Education through an agreement between the US Department of Energy and CDC.
The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention.
Characteristics of Women Aged 40-64 Years (N = 11,887), by Race/Ethnicity, California Health Interview Survey, 2005
| Characteristic | Race/Ethnicity, n (%) | |||
|---|---|---|---|---|
| Latina, n = 1,441 | Asian, n = 1,120 | African American, n = 614 | White, n = 8,712 | |
| Married | 820 (64) | 844 (79) | 185 (36) | 4,793 (63) |
| Widowed, separated, divorced, or living with partner | 494 (28) | 219 (17) | 285 (42) | 3,090 (29) |
| Never married | 127 (8) | 57 (4) | 144 (22) | 829 (8) |
| 902 (70) | 954 (88) | 41 ( 7) | 729 (10) | |
| Large city | 617 (53) | 603 (58) | 330 (62) | 1,940 (31) |
| Small city | 422 (24) | 199 (16) | 158 (19) | 2,737 (28) |
| Suburban area | 220 (15) | 275 (23) | 100 (15) | 2,053 (24) |
| Town or rural area | 182 (9) | 43 (3) | 26 (4) | 1,982 (17) |
| Less than high school graduate | 585 (50) | 110 (13) | 34 (8) | 267 (4) |
| High school graduate, no college | 325 (23) | 214 (22) | 141 (25) | 1,648 (24) |
| Some college | 359 (18) | 207 (17) | 242 (39) | 2,785 (31) |
| College graduate | 172 (9) | 589 (49) | 197 (28) | 4,012 (41) |
| 948 (63) | 771 (70) | 411 (66) | 6,193 (71) | |
| 1,096 (73) | 931 (82) | 556 (89) | 8,029 (93) | |
| 0-99 | 365 (28) | 130 (11) | 85 (16) | 412 (4) |
| 100-199 | 411 (31) | 171 (19) | 103 (17) | 838 (9) |
| 200-299 | 181 (13) | 126 (11) | 76 (11) | 881 (10) |
| ≥300 | 484 (29) | 693 (60) | 350 (57) | 6,581 (76) |
| Regular physical activity | 359 (23) | 293 (26) | 143 (22) | 2,915 (32) |
| Some physical activity | 903 (66) | 710 (65) | 380 (61) | 4,880 (56) |
| Sedentary | 179 (11) | 117 (9) | 91 (17) | 917 (12) |
| <18.5 (Underweight) | 10 (<1) | 52 (4) | 7 (<1) | 197 (3) |
| 18.5-24.9 (Normal weight) | 430 (28) | 802 (71) | 164 (29) | 4,283 (49) |
| 25.0-29.9 (Overweight) | 479 (34) | 99 (19) | 196 (30) | 2,390 (27) |
| ≥30.0 (Obese) | 522 (38) | 67 (7) | 247 (41) | 184 (21) |
| Excellent | 153 (10) | 174 (15) | 78 (13) | 2,445 (27) |
| Very good | 289 (16) | 316 (30) | 107 (28) | 3,062 (35) |
| Good | 449 (31) | 344 (30) | 197 (30) | 1,946 (23) |
| Fair | 409 (33) | 213 (17) | 128 (21) | 878 (10) |
| Poor | 141 (10) | 73 (7) | 41 (8) | 381 (4) |
Percentages are based on weighted analysis to account for complex sample survey design. Respondents were assigned to racial/ethnic groups on the basis of their responses on the questionnaire and the classification method developed by the University of California, Los Angeles, Center for Health Policy Research (
Health-Related Quality of Life Indicators for Women Aged 40-64 Years (N = 11,887), by Race/Ethnicity, California Health Interview Survey, 2005
| Mean Physically Unhealthy Days | Mean Mentally Unhealthy Days | Mean Recent Activity Limitation Days | Mean Overall Unhealthy Days | |
|---|---|---|---|---|
| Latina | 6.1 (5.4-6.8) | 5.7 (5.0-6.4) | 2.3 (1.8-2.8) | 9.9 (9.1-10.8) |
| Asian | 3.9 (3.1-4.6) | 3.8 (3.1-4.5) | 1.5 (1.0-1.9) | 6.7 (5.7-7.6) |
| African American | 6.0 (4.9-7.1) | 6.0 (5.0-7.0) | 3.8 (3.0-4.2) | 10.3 (9.0-11.6) |
| White | 4.8 (4.5-5.2) | 5.2 (4.9-5.5) | 2.8 (2.6-3.0) | 8.6 (8.3-9.0) |
Abbreviation: CI, confidence interval.
Means and 95% CIs are based on weighted analysis to account for complex sample survey design. Days are out of the previous 30 days. Respondents were assigned to racial/ethnic groups on the basis of their responses on the questionnaire and the classification method developed by the University of California, Los Angeles, Center for Health Policy Research (
Health-Related Quality of Life Indicators for Women Aged 40-64 Years (N = 11,887), California Health Interview Survey, 2005
| Characteristic | Mean Physically Unhealthy Days, PM (95% CI) | Mean Mentally Unhealthy Days, PM (95% CI) | Mean Recent Activity Limitation Days, PM (95% CI) | Mean Overall Unhealthy Days, PM (95% CI) |
|---|---|---|---|---|
| Latina | 4.1 (3.5-4.6) | 4.5 (3.9-5.1) | 1.6 (1.2-2.0) | 7.5 (6.9-8.2) |
| Asian | 3.7 (3.0-4.5) | 4.5 (3.8-5.2) | 1.8 (1.3-2.2) | 7.1 (6.3-7.9) |
| African American | 4.7 (3.9-5.5) | 4.8 (3.9-5.7) | 2.9 (2.2-3.6) | 8.3 (7.3-9.4) |
| White | 5.7 (5.3-6.0) | 5.6 (5.3-5.9) | 3.1 (2.9-3.3) | 9.5 (9.1-9.9) |
| Married | 4.9 (4.6-5.1) | 4.8 (4.5-5.1) | 2.4 (2.2-2.6) | 8.3 (8.0-8.7) |
| Widowed, separated, divorced, or living with partner | 5.4 (5.0-5.7) | 5.9 (5.5-6.3) | 3.0 (2.6-3.3) | 9.4 (8.9-9.8) |
| Never married | 5.2 (4.5-5.8) | 5.5 (4.8-6.2) | 2.9 (2.5-3.3) | 9.2 (8.4-10.0) |
| United States | 5.1 (4.8-5.4) | 5.6 (5.3-5.9) | 2.8 (2.6-3.0) | 9.1 (8.7-9.5) |
| Outside United States | 4.9 (4.5-5.3) | 4.2 (3.8-4.7) | 2.1 (1.8-2.5) | 7.9 (7.4-8.4) |
| Large city | 5.1 (4.7-5.4) | 5.2 (4.8-5.5) | 2.6 (2.3-2.8) | 8.9 (8.4-9.3) |
| Small city | 4.9 (4.4-5.3) | 5.2 (4.8-5.6) | 2.7 (2.3-3.0) | 8.5 (8.0-8.9) |
| Suburban area | 5.1 (4.7-5.6) | 5.1 (4.6-5.6) | 2.4 (2.2-2.7) | 8.8 (8.2-9.4) |
| Town or rural area | 5.0 (4.5-5.5) | 5.2 (4.7-5.7) | 2.8 (2.4-3.2) | 8.4 (7.8-9.1) |
| Less than high school graduate | 4.5 (3.6-5.3) | 5.1 (4.2-6.1) | 1.9 (1.3-2.5) | 8.1 (7.2-9.1) |
| High school graduate, no college | 4.7 (4.3-5.0) | 5.3 (4.8-5.8) | 2.3 (2.0-2.6) | 8.6 (8.0-9.1) |
| Some college | 5.4 (5.0-5.8) | 5.4 (5.0-5.8) | 2.9 (2.6-3.2) | 9.3 (8.8-9.8) |
| College graduate | 5.2 (4.8-5.5) | 4.9 (4.6-5.2) | 2.9 (2.6-3.1) | 8.6 (8.2-9.0) |
| Employed | 4.5 (4.3-4.8) | 5.1 (4.8-5.4) | 2.0 (1.8-2.2) | 8.3 (8.0-8.7) |
| Unemployed | 6.1 (5.7-6.5) | 5.3 (4.9-5.8) | 3.9 (3.6-4.2) | 9.5 (9.0-10.1) |
| Yes | 5.2 (4.9-5.4) | 5.1 (4.9-5.4) | 2.7 (2.5-2.8) | 8.7 (8.4-9.1) |
| No | 4.1 (3.5-4.8) | 5.5 (4.8-6.1) | 2.2 (1.7-2.7) | 8.5 (7.7-9.3) |
| 0-99 | 6.0 (5.0-7.1) | 6.7 (5.6-7.7) | 3.6 (3.0-4.1) | 10.0 (8.9-11.2) |
| 100-199 | 5.1 (4.5-5.8) | 5.3 (4.7-5.9) | 2.7 (2.2-3.2) | 9.1 (8.3-9.8) |
| 200-299 | 4.9 (4.3-5.5) | 5.5 (4.8-6.1) | 2.4 (1.9-2.8) | 8.9 (8.1-9.8) |
| ≥300 | 4.8 (4.6-5.1) | 4.8 (4.5-5.1) | 2.5 (2.2-2.7) | 8.4 (8.0-8.7) |
| Regular physical activity | 4.5 (4.2-4.9) | 4.8 (4.4-5.2) | 2.3 (2.0-2.5) | 7.9 (7.5-8.4) |
| Some physical activity | 4.9 (4.6-5.2) | 5.0 (4.7-5.3) | 2.5 (2.3-2.7) | 8.6 (8.3-8.9) |
| Sedentary | 6.9 (6.1-7.6) | 6.9 (6.1-7.7) | 4.0 (3.5-4.6) | 11.1 (10.2-11.9) |
| Excellent | 1.5 (1.1-1.8) | 2.9 (2.5-3.2) | 0.8 (0.6-1.0) | 4.1 (3.7-4.5) |
| Very good | 2.5 (2.2-2.7) | 3.9 (3.6-4.2) | 1.3 (1.1-1.5) | 6.0 (5.7-6.4) |
| Good | 4.6 (4.1-5.0) | 5.2 (4.7-5.6) | 2.3 (2.1-2.6) | 8.8 (8.3-9.4) |
| Fair | 10.0 (9.2-10.7) | 7.8 (7.1-8.5) | 5.0 (4.4-5.5) | 14.5 (13.7-15.4) |
| Poor | 19.1 (17.7-20.5) | 12.5 (11.0-14.0) | 10.5 (9.3-11.6) | 22.4 (21.1-23.7) |
| <18.5 (Underweight) | 4.7 (3.8-5.6) | 5.5 (4.4-6.7) | 2.4 (1.5-3.3) | 8.3 (7.1-9.6) |
| 18.5-24.9 (Normal weight) | 4.9 (4.6-5.2) | 5.0 (4.7-5.3) | 2.6 (2.4-2.8) | 8.5 (8.1-8.9) |
| 25.0-29.9 (Overweight) | 5.0 (4.6-5.4) | 5.0 (4.6-5.4) | 2.6 (2.3-2.9) | 8.6 (8.1-9.1) |
| ≥30.0 (Obese) | 5.3 (4.8-5.8) | 5.6 (5.1-6.0) | 2.6 (2.2-3.0) | 9.3 (8.8-9.9) |
| Regular physical activity | 3.5 (2.6-4.3) | 3.6 (2.5-4.6) | 1.7 (1.0-2.4) | 6.1 (5.0-7.2) |
| Some physical activity | 4.1 (3.3-4.9) | 4.5 (3.7-5.2) | 1.5 (1.0-1.9) | 7.6 (6.8-8.4) |
| Sedentary | 5.2 (3.3-7.2) | 7.1 (4.6-9.5) | 2.0 (0.8-3.1) | 10.7 (8.2-13.1) |
| Regular physical activity | 3.5 (2.7-4.3) | 4.5 (3.6-5.5) | 1.7 (1.2-2.3) | 6.8 (5.6-7.9) |
| Some physical activity | 3.7 (2.7-4.8) | 4.7 (3.9-5.5) | 1.8 (1.2-2.4) | 7.2 (6.2-8.2) |
| Sedentary | 4.4 (2.8-5.9) | 4.0 (2.5-5.4) | 1.6 (0.5-2.7) | 7.3 (5.4-9.2) |
| Regular physical activity | 3.8 (2.9-4.6) | 6.9 (5.0-8.8) | 3.0 (1.6-4.4) | 9.2 (7.2-11.2) |
| Some physical activity | 4.9 (3.7-6.1) | 3.5 (2.5-4.5) | 2.5 (1.6-3.4) | 7.6 (6.4-8.9) |
| Sedentary | 5.5 (3.5-7.6) | 6.3 (3.7-8.9) | 4.3 (1.7-6.8) | 9.7 (7.5-11.9) |
| Regular physical activity | 5.2 (4.7-5.6) | 5.0 (4.6-5.4) | 2.5 (2.2-2.7) | 8.6 (8.1-9.2) |
| Some physical activity | 5.4 (5.1-5.7) | 5.5 (5.1-5.8) | 3.0 (2.7-3.2) | 9.4 (9.0-9.8) |
| Sedentary | 8.1 (7.2-9.0) | 7.6 (6.6-8.6) | 5.3 (4.4-6.1) | 12.2 (11.2-13.2) |
Abbreviations: PM, predicted marginal; CI, confidence interval.
PMs are the average values of the health-related quality of life measures in a subgroup adjusted for other variables in the model, and their 95% CIs are based on a weighted analysis to account for complex sample survey design. Days are out of the previous 30 days. Respondents were assigned to racial/ethnic groups on the basis of their responses on the questionnaire and the classification method developed by the University of California, Los Angeles, Center for Health Policy Research (