Literature DB >> 18341771

Trends in fruit and vegetable consumption among U.S. men and women, 1994-2005.

Heidi Michels Blanck1, Cathleen Gillespie, Joel E Kimmons, Jennifer D Seymour, Mary K Serdula.   

Abstract

INTRODUCTION: Eating a diet high in fruits and vegetables as part of an overall healthful diet can help lower chronic disease risk and aid in weight management. Increasing the percentage of Americans who consume enough fruits and vegetables every day is part of the Healthy People 2010 objectives for the nation. Assessing trends in consumption of these foods is important for tracking public health initiatives to meet this goal and for planning future objectives.
METHODS: We assessed total and sex-specific changes in daily consumption of fruits and vegetables among 1,227,969 adults in the 50 U.S. states and the District of Columbia who participated in the Behavioral Risk Factor Surveillance System from 1994 through 2005. To estimate changes in consumption according to dietary recommendations that were in place during the years examined, we used geometric mean and the percentage of people eating fruits or vegetables or both five or more times per day. Estimates were standardized for sex, age, and race/ethnicity and analyzed by multivariate regression.
RESULTS: From 1994 through 2005, the geometric mean frequency of consumption of fruits and vegetables declined slightly (standardized change: men and women, -0.22 times/day; men, -0.26 times/day; women, -0.17 times/day). The proportion of men and women eating fruits or vegetables or both five or more times per day was virtually unchanged (men, 20.6% vs 20.3%; women, 28.4% vs 29.6%); however, we found small increases for men aged 18 to 24 years and for women who were aged 25 to 34 years, non-Hispanic black, or nonsmokers. Consumption of fruit juice and non-fried potatoes declined for both sexes.
CONCLUSION: The frequency of fruit and vegetable consumption changed little from 1994 through 2005. If consumption is to be increased, we must identify and disseminate promising individual and environmental strategies, including policy change.

Entities:  

Mesh:

Year:  2008        PMID: 18341771      PMCID: PMC2396974     

Source DB:  PubMed          Journal:  Prev Chronic Dis        ISSN: 1545-1151            Impact factor:   2.830


Introduction

Fruits and vegetables contain essential vitamins, minerals, fiber, and other bioactive compounds, and a diet high in these foods is associated with lower risk for numerous chronic diseases, including certain cancers and cardiovascular disease (1-3). Because of their low energy density, fruits and vegetables are also beneficial in weight management when eaten as part of a reduced-energy diet (4). In 1990, the Dietary Guidelines for Americans recommended eating at least two servings of fruits and three of vegetables daily (5). In 1991, the National Cancer Institute and the Produce for Better Health Foundation jointly established the national 5 A Day for Better Health Program (6). In 2005, the Centers for Disease Control and Prevention (CDC) became the lead federal agency and health authority for the program, which is a partnership between government, nonprofit organizations, businesses, and communities. The Healthy People 2010 objectives for the nation include increasing the percentage of Americans who eat enough fruits and vegetables daily (7). Assessing trends in consumption of these foods is important for tracking public health initiatives to meet this goal and for planning future objectives. An earlier trend analysis that used data from the state-based Behavioral Risk Factor Surveillance System (BRFSS) found that fruit and vegetable consumption by American adults was essentially unchanged from 1994 through 2000 and that a low proportion of Americans ate five or more fruits and vegetables per day (8). However, this analysis did not examine differences in consumption between men and women. Our study updates this earlier work with BRFSS data from the current decade and expands the scope by providing sex-specific results and examining changes in consumption by selected sociodemographic and behavioral characteristics.

Methods

A continuous telephone survey conducted by state health departments in collaboration with CDC, the BRFSS provides state-specific estimates of behaviors that relate to the leading causes of death among adults in the United States. In each state, random-digit dialing is used to select an independent probability sample of residents aged 18 years or older, and trained interviewers administer identical core questionnaires. Data are weighted by race/ethnicity, age, and sex to reflect the respondents' probability of selection and the state's population. A detailed description of BRFSS methods is available elsewhere (9,10). We used data from all 50 U.S. states and the District of Columbia that participated in the BRFSS for the years from 1994 through 2005 in which the fruit and vegetable module was part of the core questionnaire: 1994, 1996, 1998, 2000, 2002, 2003, and 2005. We aggregated state estimates to analyze overall and sex-specific consumption over time of fruit juices, whole fruits, green salad, carrots, nonfried potatoes, and "all other" vegetables. We also used BRFSS data to calculate body mass index (BMI), and to evaluate consumption by participation in leisure-time activity and by smoking status. The BRFSS module on fruits and vegetables has six questions that have remained the same over time. Interviewers begin the module with the following statement: These next questions are about the foods you usually eat or drink. Please tell me how often you eat or drink each one: for example, twice a week, three times a month, and so forth. Respondents are then asked the following questions: 1) How often do you drink fruit juices such as orange, grapefruit, or tomato? 2) Not counting juice, how often do you eat fruit? 3) How often do you eat green salad? 4) How often do you eat potatoes, not including french fries, fried potatoes, or potato chips? 5) How often do you eat carrots? and 6) Not counting carrots, potatoes, or salad, how many servings of vegetables do you usually eat? Participants are not given a definition of serving size. At the end of the fruits and vegetables interview, respondents are asked to report their weight and their height without shoes. To create an index of fruit and vegetable consumption, we summed the daily frequency of consumption of food items mentioned in the module (11). We calculated total daily fruit consumption from responses to questions 1 and 2 and total daily vegetable consumption from responses to questions 3–6. To calculate consumption in times per day, we divided weekly frequencies by 7, monthly frequencies by 30, and yearly frequencies by 365. For consistency with past analyses, the answer to question 6 was treated as times per day. We calculated BMI as self-reported weight in kilograms divided by height in meters squared and grouped respondents into three categories: normal weight (BMI <25), overweight (BMI 25 to <30), and obese (BMI ≥30) (12). About leisure-time activity, BRFSS respondents are asked: During the past month, other than during your regular job, did you participate in any physical activities or exercises such as running, calisthenics, golf, gardening, or walking for exercise? We classified smoking status as current smoker, former smoker, and nonsmoker (never smoked). We used the U.S. Census Bureau definition for regions of the United States: Northeast, South, Midwest, and West (13). A total of 1,394,471 people completed the interviews. We excluded people not reporting race/ethnicity (n = 11,217), education level (n = 2898), smoking status (n = 4138), leisure-time physical activity (n = 5989), and weight or height (n = 58,781) and people who did not answer more than one question in the fruit and vegetable module (n = 103,808) or who reported eating 25 or more fruits and vegetables per day (n = 229). Because some individuals were missing more than one covariate, we had 1,227,969 people in our final sample: 95,571 from 1994; 107,522 from 1996; 130,086 from 1998; 157,179 from 2000; 211,507 from 2002; 224,807 from 2003; and 301,297 from 2005. To allow comparison with earlier dietary recommendations (14) and previous reports of BRFSS data (7,15), we calculated the percentage of respondents who ate five or more fruits or vegetables or both per day and the mean daily consumption. Because the frequency of consumption was skewed, we calculated geometric mean daily consumption to provide a valid measure of center. Participants who reported not eating any fruits or vegetables were assigned 0.1 times per day to allow for their inclusion in the analysis. We used state census population estimates for the survey years to weight data for age, race/ethnicity, and sex. Because of the large sample size, we set statistical significance at P < .01. To account for the complex sampling design and to report weighted findings, we used SAS 9.1 (SAS Institute, Inc, Cary, North Carolina) and SAS-Callable SUDAAN 9.0 (RTI International, Research Triangle Park, North Carolina). Changes in the geometric mean frequency of daily consumption and in the percentage of respondents eating fruits and vegetables five or more times daily from 1994 through 2005 were standardized to the sex, age, and racial/ethnic distribution of the 2000 BRFSS population. To analyze temporal changes in the geometric mean frequency, we used multivariable regression that controlled for year, age, sex, and race/ethnicity for both linear and quadratic time effects (16). Quadratic trends can be statistically significant but nonlinear over time because of a leveling off or significant change in direction, whereas trends with significant linear and quadratic components demonstrate nonlinear variation along with an overall increase or decrease over time.

Results

For all survey years combined, 49.2% of respondents were male and 50.8% were female. Seventy-five percent were non-Hispanic white, 9.2% were non-Hispanic black, 10.7% were Hispanic, and 5.1% were of other race/ethnicity. Slightly more than half (56.7%) had at least some college education. By age, 32.7% of respondents were 18 to 34 years; 38.7%, 35 to 54 years; and 28.6%, 55 years or older. Nearly one-quarter of respondents (22.6%) were current smokers, and most (74.3%) had engaged in some leisure-time physical activity in the month preceding their interview. Nearly half (43.6%) reported being of normal weight; 36.4%, being overweight; and 20.0%, being obese. From 1994 through 2005, the total geometric mean frequency of fruit and vegetable consumption declined slightly, from 3.43 times per day in 1994 to 3.24 times per day in 2005 (standardized change, −0.22 times/day) (Table 1). The geometric mean frequency for men changed from 3.21 to 2.98 times per day (standardized change, −0.26 times/day); women went from 3.66 to 3.50 times per day (standardized change, −0.17 times/day). Overall, total fruit and total vegetable consumption declined slightly. Of the six fruit and vegetable categories, fruit juice (−0.13) and nonfried potatoes (−0.08) showed slight declines in consumption. When stratified by sex, the data showed that men had small declines in the consumption of fruit juice (−0.09), nonfried potatoes (−0.07), and "all other" vegetables (−0.06); women had small declines in the consumption of fruit juice (−0.15) and nonfried potatoes (−0.09). Linear trends were similar to endpoint changes with one exception: the total sample had no significant linear trend for "all other" vegetables. For the total sample, quadratic trends were significant for total fruits; for women, they were significant for green salad. Men had no significant quadratic trends.
Table 1

Geometric Mean Frequency of Daily Fruit and Vegetable Consumption Among Men and Women, by Year, in the Behavioral Risk Factor Surveillance System (BRFSS), United States, 1994–2005

Food ConsumedGeometric Mean Frequencya Endpoint Changeb 1994–2005

1994199619982000200220032005Changea (95% CI) P Value for Change
Total
Fruits
Juice0.320.320.310.290.250.220.20−0.13(−0.15 to −0.10)<.001c
Whole fruit0.440.450.440.430.430.420.44−0.01(−0.03 to −0.00).01
Total1.061.071.051.030.980.930.96−0.13(−0.14 to −0.11)<.001c d
Vegetables
Green salad0.280.270.270.280.280.280.280.00(−0.02 to 0.02).73
Carrots0.090.100.090.090.100.090.09−0.01(−0.03 to −0.01)<.001  
Potatoes, nonfried0.220.220.200.180.170.150.14−0.08(−0.10 to −0.06)<.001c
All other0.900.880.860.860.860.860.86−0.03(−0.04 to −0.01)<.001
Total2.032.001.961.961.921.911.91−0.11(−0.12 to −0.10)<.001c
Total fruits and vegetables 3.433.423.363.353.263.213.24−0.22(−0.22 to −0.21)<.001c
Men
Fruits
Juice0.340.340.340.320.290.250.25−0.09(−0.13 to −0.05)<.001c
Whole fruit0.380.380.380.360.350.340.37−0.03(−0.06 to −0.01)<.001
Total0.970.980.970.950.900.850.88−0.12(−0.14 to −0.09)<.001c
Vegetables
Green salad0.260.250.240.240.240.240.24−0.02(−0.05 to 0.01)<.001
Carrots0.080.090.080.080.090.080.080.00(−0.04 to 0.04).004
Potatoes, nonfried0.230.220.210.190.180.160.15−0.07(−0.10 to −0.04)<.001c
All other0.830.800.780.770.760.760.75−0.06(−0.08 to −0.03)<.001c
Total1.901.871.811.801.751.731.74−0.17(−0.18 to −0.15)<.001c
Total fruits and vegetables 3.213.193.123.113.012.942.98−0.26(−0.27 to −0.24)<.001c
Women
Fruits
Juice0.310.300.290.260.220.190.16−0.15(−0.18 to −0.12)<.001c
Whole fruit0.520.530.520.500.510.510.540.01(−0.01 to 0.03).08
Total1.151.161.141.111.061.021.03−0.14(−0.16 to −0.12)<.001c
Vegetables
Green salad0.310.300.300.310.320.340.340.03(0.01 to 0.05)<.001c d
Carrots0.110.110.100.110.110.100.10−0.01(−0.04 to −0.00).001
Potatoes, nonfried0.220.220.200.180.160.140.13−0.09(−0.11 to −0.07)<.001c
All other0.980.970.950.960.970.970.970.01(0.00 to 0.03).14
Total2.162.152.122.122.102.102.11−0.05(−0.06 to −0.04)<.001
Total fruits and   vegetables 3.663.653.613.603.533.513.50−0.17(−0.18 to −0.16)<.001c

CI indicates confidence interval.

Calculated to provide a valid measure of center because consumption frequency was skewed.

The change is standardized to the sex, age, and racial/ethnic distribution of the 2000 BRFSS.

Indicates significant linear trend in model that adjusts for year, sex, age, race/ethnicity, P <.01.

Indicates significant quadratic trend in model that adjusts for year, sex, age, race/ethnicity, P <.01.

The overall prevalence of consumption of fruits or vegetables or both five or more times per day was 24.7%, with no appreciable change between 1994 (24.6%) and 2005 (25.0%) (data not in table). Men's prevalence of this level of consumption did not change significantly from 1994 through 2005 (−0.87 percentage points, P = .03) (Table 2). Subgroup analysis, however, found a significant increase (+3.71 percentage points, P = .003) among men aged 18 to 24 years and a significant decrease (−3.43 percentage points, P = .003) among men aged 55 to 64 years. Significant decreases also were found for non-Hispanic white men (−1.45 percentage points, P = .001), men reporting any leisure time physical activity (−1.65 percentage points, P = .001), and men residing in the South (−1.81 percentage points, P = .01).
Table 2

Percentage of Men Who Consume Fruits or Vegetables or Both Five or More Times per Day, Behavioral Risk Factor Surveillance System (BRFSS), United States, 1994–2005

CharacteristicPercentagea Endpoint Change 1994–2005

1994199619982000200220032005Changea (95% CI) P Value
Total 20.620.820.320.220.218.920.3−0.87(−1.67 to −0.07).03
Age group, y
18-2417.017.820.921.720.520.320.83.71(1.22 to 6.20).003
25-3418.019.017.716.818.016.918.2−0.37(−2.11 to 1.37).68
35-4418.519.317.517.618.116.817.2−1.45(−3.02 to 0.12).07
45-5421.020.120.118.719.017.319.6−1.78(−3.62 to 0.06).06
55-6423.821.320.921.720.418.920.7−3.43(−5.66 to −1.20).003
≥6529.528.827.828.727.925.927.8−1.66(−3.70 to 0.38).11
Race/ethnicity
Non-Hispanic white20.720.720.320.019.518.519.7−1.45(−2.31 to −0.59).001
Non-Hispanic black18.218.418.019.821.418.921.73.17(0.45 to 5.89).02
Hispanic20.321.121.421.019.618.319.8−0.98(−4.21 to 2.25).55
Other23.725.121.723.126.523.925.41.37(−2.63 to 5.37).50
Education
<High school18.619.418.618.018.115.818.0−2.24(−4.40 to −0.08).04
High school graduate17.417.517.318.017.116.316.8−1.55(−2.86 to −0.24).02
Some college20.620.719.819.719.418.219.8−2.02(−3.61 to −0.43).01
College graduate25.124.824.623.724.422.924.5−1.02(−2.88 to 0.84).28
Smoking status
Current smoker15.616.015.816.214.814.215.6−0.99(−2.46 to 0.48).19
Former smoker23.123.522.321.822.520.721.8−0.66(−2.40 to 1.08).46
Nonsmoker21.621.721.621.321.720.421.5−1.36(−2.59 to −0.13).03
Any leisure time activity
Yes22.622.822.121.921.620.321.8−1.65(−2.61 to −0.69).001
No15.015.115.115.015.013.614.8−0.73(−2.08 to 0.62).29
Body mass indexb
<2522.022.021.622.322.220.923.10.06(−1.31 to 1.43).93
25 to <3020.320.520.020.119.718.519.5−1.28(−2.48 to −0.08).04
≥3017.918.418.517.318.417.018.20.38(−1.42 to 2.18).68
Regionc
Northeast20.921.822.921.823.020.621.50.41(−1.35 to 2.17).65
Midwest18.417.218.017.616.816.618.2−1.24(−2.87 to 0.39).14
South21.420.620.420.620.918.920.1−1.81(−3.16 to −0.46).01
West21.623.520.320.819.919.721.60.16(−1.96 to 2.28).88

CI indicates confidence interval.

The change is standardized to the sex, age, and race/ethnicity distribution of the 2000 BRFSS.

Weight in kilograms divided by height in meters squared.

U.S. Census Bureau definition.

Among women, the overall prevalence of eating fruits or vegetables or both five or more times per day did not change significantly from 1994 through 2005 (+0.59 percentage points, P = .11). However, several groups had significant increases: women aged 25 to 34 years (+3.65 percentage points, P < .001), non-Hispanic black women (+4.08 percentage points, P = .0002), and women who were nonsmokers (+1.43 percentage points, P = .004) (Table 3). High school graduates showed a significant decrease (−2.18 percentage points, P = .001). Significant changes were not observed for women by region or by BMI.
Table 3

Percentage of Women Who Consume Fruits or Vegetables or Both Five or More Times per Day, Behavioral Risk Factor Surveillance System (BRFSS), United States, 1994–2005

WomenPercentagea Endpoint Change 1994–2005

1994199619982000200220032005Changea (95% CI) P value
Total 28.429.128.829.329.528.929.60.59(−0.14 to 1.32).11
Age group, y
18-2420.622.222.024.125.024.023.52.54(0.13 to 4.95).04
25-3423.225.724.324.224.725.227.23.65(2.04 to 5.26)<.001
35-4426.026.225.626.227.725.926.70.40(−1.13 to 1.93).60
45-5429.029.029.228.929.028.929.40.47(−1.33 to 2.27).61
55-6433.631.731.732.531.831.332.1−1.49(−3.57 to 0.59).16
≥6539.438.538.739.338.137.137.4−1.88(−3.53 to −0.23).02
Race/ethnicity
Non-Hispanic   white29.129.729.929.629.729.429.80.09(−0.69 to 0.87).82
Non-Hispanic   black22.922.323.224.725.825.727.34.08(1.96 to 6.20)<.001
Hispanic28.028.824.729.529.326.328.30.42(−2.83 to 3.67).80
Other30.336.432.235.133.132.732.71.55(−2.78 to 5.88).48
Education
<High school24.024.222.525.224.424.023.9−1.41(−3.27 to 0.45).14
High school   graduate25.425.525.425.225.723.924.3−2.18(−3.41 to −0.95).001
Some college28.629.929.830.228.529.429.8−0.25(−1.66 to 1.16).73
College   graduate35.535.735.435.236.735.236.3−0.60(−2.23 to 1.03).47
Smoking status
Current   smoker20.020.120.620.119.418.619.2−1.37(−2.84 to 0.10).07
Former smoker32.032.731.931.232.532.131.70.61(−1.04 to 2.26).47
Nonsmoker30.331.130.632.032.031.232.11.43(0.45 to 2.41).004
Any leisure time activity
Yes31.632.532.232.132.431.732.6−0.09(-0.99, 0.81).84
No21.321.320.822.421.120.520.9−0.73(-1.91, 0.45).22
Body mass indexb
<2529.129.829.430.430.630.631.00.94(−0.10 to 1.98).08
25 to <3028.529.629.429.630.328.929.81.54(0.11 to 2.97).04
≥3025.625.625.926.025.825.026.50.83(−0.99 to 2.65).38
Regionc
Northeast30.330.031.432.432.832.931.81.29(−0.38 to 2.96).13
Midwest27.526.427.926.525.926.327.6−0.64(−2.21 to 0.93).42
South26.827.127.227.628.627.327.90.64(−0.58 to 1.86).30
West30.434.129.832.031.330.332.11.77(−0.01 to 3.55).05

CI indicates confidence interval.

The change is standardized to the sex, age, and racial/ethnic distribution of the 2000 BRFSS.

Weight in kilograms divided by height in meters squared.

U.S. Census Bureau definition.

Discussion

Our findings show that fruit and vegetable consumption among American adults remained relatively stable from 1994 through 2005. The small decrease in vegetable consumption among men was attributable to declines in eating nonfried potatoes and "all other" vegetables and among women, to a decline in eating nonfried potatoes. The decrease among both sexes in total fruit consumption was driven by reduced consumption of fruit juice, not of whole fruit, which remained stable. The decreases in consumption of nonfried potatoes and fruit juice could reflect food transitions among Americans. Consumption estimates based on abbreviated food frequency questionnaires, such as the BRFSS module, are generally lower than those from studies using other methods (17-19). In fact, BRFSS-based estimates of the proportion of adults eating five or more fruits or vegetables or both per day are consistently lower than estimates based on data from studies that use multiple 24-hour recalls or food records and that include food combinations (e.g., vegetarian pizza, stir fry) and condiments as well as information on serving sizes. The exclusion of fried potatoes in the BRFSS module also contributes to lower estimates. These differences should be considered in interpreting findings. The new national objectives, which were put into place in 2005, are based on age, sex, and physical activity level and are expressed as cups per day, with the amount that counts as 1 cup being based on form (e.g., 1 small apple; 1 large banana or orange; ½ cup dried fruit; 1 cup chopped, cooked, or canned fruit; 1 cup fruit or vegetable juice; 2 cups raw leafy vegetables; 1 cup raw or cooked other vegetables) (20). Because this analysis reports consumption according to the number of times per day that fruits and vegetables are eaten, the results may over- or underestimate the proportion of people meeting the new objectives. Assuming the accuracy of reporting remains similar across time, however, BRFSS data should correctly reveal trends in consumption frequency, given that the questionnaire has remained the same and that the module has been validated in diverse samples (13). Considering the health benefits of fruits and vegetables, the lack of an overall increase in consumption is disappointing. Fruits, vegetables, whole grains, and low-fat dairy products are related to high dietary quality and reduced caloric intake when they replace energy-dense, nutrient-poor foods (8,21). Focused interventions can increase fruit and vegetable intake in the short term at the local level (22,23), but the long-term effectiveness of interventions at the state and national levels has not been determined. Reviews of intervention studies to increase fruit and vegetable consumption have found average increases of about 0.6 servings per day (22) with a range of about 0.1 to 1.4 daily servings (23), but few of these studies followed participants for more than 1 year. National public health goals for fruit and vegetable consumption among all Americans include the Healthy People 2010 objectives of increasing to 75% the proportion of people aged 2 years or older who eat at least two daily servings of fruit and to 50% the proportion of people aged 2 years or older who eat at least three daily servings of vegetables, with at least one-third being dark green or orange vegetables (7). The most recent Dietary Guidelines for Americans recommends that the number of daily servings of fruits and vegetables should reflect one's sex, age, and physical activity level (20). For adults, 3½ to 6½ cups of fruits and vegetables each day are now recommended. Using responses from a single 24-hour recall, Guenther et al (17) recently found that less than 11% of Americans in most sex-age subgroups met the new recommendations in 1999 through 2000, with an exception being older women (17%). Results from a recent trend analysis by Casagrande et al (24) using data from the NHANES surveys, which employ a 24-recall and include serving size and food combinations, were consistent with our finding that the percentage of American adults who eat fruits and vegetables has reduced slightly. They found that, in general, 25% of American adults ate five or more servings of fruits and vegetables daily and that mean daily servings were relatively stable during 1988 through 1994 (3.06) and 1999 through 2000 (3.04) (P = .75). The national findings of Guenther et al (17), Casagrande et al (24), and our analysis underscore the need for broadening interventions beyond increasing individual awareness of the value of fruits and vegetables and education toward changing eating behavior. These broader interventions may require interpersonal, community-level, and environmental approaches. Possibilities include increasing access to fruits and vegetables at daycare centers, schools, universities, and worksites (25,26) and at local farmers' markets through vouchers for seniors (27) and the Special Supplemental Nutrition Program for Women, Infants, and Children (28). Farm-to-school programs (29), school gardening projects (30), and other community projects (31) are also good avenues for encouraging changes in eating behavior. A new national fruit and vegetable initiative, built on the earlier 5 A Day partnership, is under way. The Fruits and Veggies — More Matters initiative will continue the goal of increasing awareness of the need for people to consume these foods (32,33). With this new initiative comes the need for research and evaluation to identify promising individual and environmental strategies, including policy changes, to increase Americans' consumption of fruits and vegetables.
  16 in total

Review 1.  Overview of the health benefits of fruit and vegetable consumption for the dietetics professional: selected literature.

Authors:  M A Van Duyn; E Pivonka
Journal:  J Am Diet Assoc       Date:  2000-12

2.  Trends in fruit and vegetable consumption among adults in 16 US states: Behavioral Risk Factor Surveillance System, 1990-1996.

Authors:  R Li; M Serdula; S Bland; A Mokdad; B Bowman; D Nelson
Journal:  Am J Public Health       Date:  2000-05       Impact factor: 9.308

3.  Reliability and validity of measures from the Behavioral Risk Factor Surveillance System (BRFSS).

Authors:  D E Nelson; D Holtzman; J Bolen; C A Stanwyck; K A Mack
Journal:  Soz Praventivmed       Date:  2001

4.  Public health surveillance for disease prevention: lessons from the behavioral risk factor surveillance system.

Authors:  Ali H Mokdad; Virginia S Bales; Kurt J Greenlund; George A Mensah
Journal:  Ethn Dis       Date:  2003       Impact factor: 1.847

5.  Trends in fruit and vegetable consumption among adults in the United States: behavioral risk factor surveillance system, 1994-2000.

Authors:  Mary K Serdula; Cathleen Gillespie; Laura Kettel-Khan; Rosanne Farris; Jennifer Seymour; Clark Denny
Journal:  Am J Public Health       Date:  2004-06       Impact factor: 9.308

Review 6.  What can intervention studies tell us about the relationship between fruit and vegetable consumption and weight management?

Authors:  Barbara J Rolls; Julia A Ello-Martin; Beth Carlton Tohill
Journal:  Nutr Rev       Date:  2004-01       Impact factor: 7.110

7.  Reliability and comparability of three dietary assessment methods for estimating fruit and vegetable intakes.

Authors:  S A Smith-Warner; P J Elmer; L Fosdick; T M Tharp; B Randall
Journal:  Epidemiology       Date:  1997-03       Impact factor: 4.822

8.  The contextual effect of the local food environment on residents' diets: the atherosclerosis risk in communities study.

Authors:  Kimberly Morland; Steve Wing; Ana Diez Roux
Journal:  Am J Public Health       Date:  2002-11       Impact factor: 9.308

9.  Fruit and vegetable intake and risk of cardiovascular disease: the Women's Health Study.

Authors:  S Liu; J E Manson; I M Lee; S R Cole; C H Hennekens; W C Willett; J E Buring
Journal:  Am J Clin Nutr       Date:  2000-10       Impact factor: 7.045

10.  Evaluation of a brief telephone questionnaire to estimate fruit and vegetable consumption in diverse study populations.

Authors:  M Serdula; R Coates; T Byers; A Mokdad; S Jewell; N Chávez; J Mares-Perlman; P Newcomb; C Ritenbaugh; F Treiber
Journal:  Epidemiology       Date:  1993-09       Impact factor: 4.822

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  90 in total

1.  Level of nutrition knowledge and its association with weight loss behaviors among low-income reproductive-age women.

Authors:  Tabassum H Laz; Mahbubur Rahman; Ali M Pohlmeier; Abbey B Berenson
Journal:  J Community Health       Date:  2015-06

2.  Heart disease and stroke statistics--2012 update: a report from the American Heart Association.

Authors:  Véronique L Roger; Alan S Go; Donald M Lloyd-Jones; Emelia J Benjamin; Jarett D Berry; William B Borden; Dawn M Bravata; Shifan Dai; Earl S Ford; Caroline S Fox; Heather J Fullerton; Cathleen Gillespie; Susan M Hailpern; John A Heit; Virginia J Howard; Brett M Kissela; Steven J Kittner; Daniel T Lackland; Judith H Lichtman; Lynda D Lisabeth; Diane M Makuc; Gregory M Marcus; Ariane Marelli; David B Matchar; Claudia S Moy; Dariush Mozaffarian; Michael E Mussolino; Graham Nichol; Nina P Paynter; Elsayed Z Soliman; Paul D Sorlie; Nona Sotoodehnia; Tanya N Turan; Salim S Virani; Nathan D Wong; Daniel Woo; Melanie B Turner
Journal:  Circulation       Date:  2011-12-15       Impact factor: 29.690

3.  Temporal and regional trends in the prevalence of healthy lifestyle characteristics: United States, 1994-2007.

Authors:  Jonathan P Troost; Ann P Rafferty; Zhehui Luo; Mathew J Reeves
Journal:  Am J Public Health       Date:  2012-05-21       Impact factor: 9.308

4.  Heart disease and stroke statistics--2011 update: a report from the American Heart Association.

Authors:  Véronique L Roger; Alan S Go; Donald M Lloyd-Jones; Robert J Adams; Jarett D Berry; Todd M Brown; Mercedes R Carnethon; Shifan Dai; Giovanni de Simone; Earl S Ford; Caroline S Fox; Heather J Fullerton; Cathleen Gillespie; Kurt J Greenlund; Susan M Hailpern; John A Heit; P Michael Ho; Virginia J Howard; Brett M Kissela; Steven J Kittner; Daniel T Lackland; Judith H Lichtman; Lynda D Lisabeth; Diane M Makuc; Gregory M Marcus; Ariane Marelli; David B Matchar; Mary M McDermott; James B Meigs; Claudia S Moy; Dariush Mozaffarian; Michael E Mussolino; Graham Nichol; Nina P Paynter; Wayne D Rosamond; Paul D Sorlie; Randall S Stafford; Tanya N Turan; Melanie B Turner; Nathan D Wong; Judith Wylie-Rosett
Journal:  Circulation       Date:  2010-12-15       Impact factor: 29.690

5.  Bioactives in blueberries improve insulin sensitivity in obese, insulin-resistant men and women.

Authors:  April J Stull; Katherine C Cash; William D Johnson; Catherine M Champagne; William T Cefalu
Journal:  J Nutr       Date:  2010-08-19       Impact factor: 4.798

6.  Relationship Between Eating Behavior and Dietary Intake in Rural Mexican-American Mothers.

Authors:  Trina M Aguirre; James T Kuster; Ann E Koehler
Journal:  J Immigr Minor Health       Date:  2017-02

7.  Lifestyle factors and subsequent ischemic heart disease risk after hematopoietic cell transplantation.

Authors:  Kasey J Leger; K Scott Baker; Kara L Cushing-Haugen; Mary E D Flowers; Wendy M Leisenring; Paul J Martin; Jason A Mendoza; Kerryn W Reding; Karen L Syrjala; Stephanie J Lee; Eric J Chow
Journal:  Cancer       Date:  2018-01-09       Impact factor: 6.860

8.  Socio-economic status, neighbourhood food environments and consumption of fruits and vegetables in New York City.

Authors:  Darby Jack; Kathryn Neckerman; Ofira Schwartz-Soicher; Gina S Lovasi; James Quinn; Catherine Richards; Michael Bader; Christopher Weiss; Kevin Konty; Peter Arno; Deborah Viola; Bonnie Kerker; Andrew Rundle
Journal:  Public Health Nutr       Date:  2013-02-06       Impact factor: 4.022

9.  Perception and Sense of Control Over Eating Behaviors Among a Diverse Sample of Adults at Risk for Type 2 Diabetes.

Authors:  Yoshimi Fukuoka; Teri G Lindgren; Kemberlee Bonnet; Emiko Kamitani
Journal:  Diabetes Educ       Date:  2014-02-13       Impact factor: 2.140

10.  Predictors of Change in Physical Activity and Fruit and Vegetable Intake in a Multiethnic Population in Hawaii at 6 and 12 Months Follow-up.

Authors:  Joy C Galloway; Claudio R Nigg; Min Liu; Jinan C Banna
Journal:  Int J Appl Psychol       Date:  2015
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