Intake of Potatoes is Associated with Higher Diet Quality, and Improved Nutrient Intake and Adequacy Among US adolescents: NHANES 2001-2018 Analysis.

DOI: https://doi.org/10.21203/rs.3.rs-550352/v1

Abstract

Background: Potatoes are nutrient rich white vegetables and are most widely consumed staple food. Research on potato consumption and impact on public health is limited and inconclusive. The objective of this study was to provide updated evaluation of the cross-sectional association between potato consumption and diet quality, nutrient intake and adequacy among adolescents.  

Methods: Two day 24-hour diet recall data from adolescents (n=16,633; age 9-18 years) participating in National Health and Nutrition Examination Survey 2001-2018 were used. Consumers were defined as those consuming any amount of potatoes (baked or boiled potatoes, mashed potatoes and potato mixtures, fried potatoes, and potato chips) on the days of dietary recall. Usual intakes of nutrients were determined using the National Cancer Institute method and diet quality was calculated using the Healthy Eating Index-2015 (HEI-2015) scores after adjusting the data for demographic factors.

Results: Intake of potatoes did not change over the last 18 years among US adolescent. Consumers of baked or boiled potatoes, mashed potatoes and potato mixtures had 4.70% higher (P<0.05) HEI-2015 total score and the score gradually increased with increasing intake quartile. HEI-2015 total scores were also higher for consumers of baked or boiled potatoes, mashed potatoes and potato mixtures, and fried potatoes (+2.01%, P<0.05) and for consumers of baked or boiled potatoes, mashed potatoes and potato mixtures, fried potatoes, and potato chips (+1.57%, P<0.05) than non-consumers. Consumers of potatoes had higher (P<0.05) intake of energy and nutrients (dietary fiber, protein, copper, magnesium, phosphorus, potassium, selenium, zinc, niacin, vitamin B6, vitamin C, vitamin K and total choline); and higher (P<0.05) nutrient adequacy for protein, copper, magnesium, phosphorus, potassium, zinc, thiamine, niacin, vitamin B6 and vitamin C, vitamin K than non-consumers. However, potato consumers also had a higher intake of sodium.

Conclusion: The results show that potato consumption was associated with better diet quality, higher nutrient intake and improved nutrient adequacy. Potatoes are nutrient rich foods and encouraging their consumption may be an effective strategy for improving intakes and adequacy of key nutrients.

Trial Registration: Not applicable, as this was a secondary analysis of publicly available data from the National Health and Nutrition Examination Survey (NHANES). 

Background

Potatoes are the most widely consumed non-cereal staple food consumed worldwide [1].

They are nutrient-rich, typically white, vegetables providing significant amounts of key essential nutrients, including dietary fiber, potassium, magnesium, vitamin C, vitamin B6 and phytonutrients [24] and are a more affordable source of nutrients with more favorable overall nutrient-to-price ratio compared to many other vegetables [5]. While potatoes are regarded as vegetables in the US dietary recommendations [6] they are not considered as vegetables by WHO [7] and are grouped as cereals in the UK National Food guide [8]. In the US, potato consumption is over 100 pounds per year per capita accounting for ~ 30% of total vegetable intake [9]. Their intake was estimated to be 0.35 cup equivalents/day/person in an analysis of NHANES 2009–2010 [10].

Potatoes are classified as starchy vegetables because carbohydrates and especially starch (amylose, amylopectin and resistant starch) are their predominant macronutrient. While potatoes are rich in carbohydrate (starch), because of their high amount of water they have a low energy density compared to other carbohydrate sources [11]. Cooking, cooling and re-heating increases resistant starch levels in potatoes. Emerging research suggests that resistant starch may enhance satiety, may affect body composition, blood lipid and blood glucose levels; and stimulate growth and increase number of pro-bacteria in the colon.

Current scientific research on potato consumption and its impact on public health is controversial. In prospective studies consumption of potatoes was associated with higher risk of type 2 diabetes and hypertension [12, 13]. However, a systematic review published in 2016, did not find any conclusive evidence suggesting an association between potato intake and the risk of developing obesity and type 2 diabetes [14]. A recently published NHANES 1999–2010 data analysis reported positive association of higher potato intake with cardiometabolic risk factors but did not find any significant effects on long-term mortality rates [15]. However, there are very limited data in children and adolescents.

White potatoes represented about a 1/3rd of all vegetable servings consumed by US children and adolescents in an analysis of NHANES 2003–2008 [16]. In another analysis of NHANES 2003–2006, white potatoes including French fries contributed to intake of several shortfall nutrients in the diets of children and adolescents [17]. A dietary modeling analysis of NHANES 2005–2012 indicated that removing potatoes from children’s diet might compromise potassium intake [18]. Federal nutrition policies related to role of white potatoes in the diet of adolescents have been controversial and continuously evolving. In 2009, Institute of Medicine (IOM) and USDA recommended to limit/excluded potatoes and other starchy vegetables from school meal plan [19, 20], however, in 2012 the proposal was struck down by the US Senate prohibiting USDA from setting any maximum limits on the serving of vegetables in school meal programs and removing the restriction on starchy vegetables (including French fries) in school lunches [20]. Starchy vegetables including potatoes were also initially restricted to one cup per week in the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) and the Healthy, Hunger-Free Act [21] and in 2009 the WIC program offered a monthly fruit and vegetable cash value voucher that excluded white potatoes [22], however an IOM report in 2015 [23] indicated that white potatoes are particularly high in potassium and their increased consumption may help reduce shortfalls of potassium in the diets of both children and women, and recommended that they should be included as eligible vegetables under WIC program.

We hypothesize that potatoes as nutrient rich vegetables would be associated with improved diet quality and nutrient intake. In a recent analysis of longitudinal data from the National Heart, Lung, and Blood Institute's Growth and Health Study intake of potassium, magnesium, vitamin B6 and vitamin C increased with increasing intake of potatoes at the baseline in adolescent girls [24]. Therefore, the purpose of this study was to provide an updated evaluation of the association of potato consumption among adolescents on diet quality, nutrient intake, and nutrient adequacy using NHANES 2001–2018 data.

Methods

National Health and Nutrition Examination Survey (NHANES), a continuous large survey of a nationally representative sample of the non-institutionalized US population conducted by the National Center for Health Statistics, were used to assess potato intake [25]. 24-hour dietary recall data of 16,633 adolescents 9–18 years participating in nine cycles of NHANES 2001–2018 were combined for the analyses to increase the sample size. Data from pregnant or lactating females those with unreliable or incomplete data determined by the USDA were excluded. NHANES data are collected using a complex stratified multistage cluster sampling probability design. A detailed description of the subject recruitment, survey design, and data collection procedures is available online [25], and all data obtained for this study are publicly available at: http://www.cdc.gov/nchs/nhanes/. All participants or proxies provided written informed consent and the Research Ethics Review Board at the National Center for Health Statistics approved the survey protocol. NHANES has stringent consent protocols and procedures to ensure confidentiality and protection from identification. This study was a secondary data analysis which lacked personal identifiers, therefore, did not require Institutional Review Board review.

Dietary intake was determined using the average of two days of 24-h dietary recalls which included an in-person interview in the Mobile Examination Center (day 1 recall) followed by a telephone interview conducted 3–10 days after (day 2 recall). Parents or guardians assisted 9–11 years old adolescents while 12–18 years old adolescents provided their own recalls. Participants were dichotomized into consumers and non-consumers of potatoes; and consumers were further classified into intake quartiles. Consumers were defined as those individuals consuming any amount of potatoes on the days of dietary recall. Potato intakes were assessed using a total of 4 What We Eat in America (WWEIA) food categories: baked or boiled potatoes (#6802), mashed potatoes and potato mixtures (#6806), fried potatoes (#6804), and potato chips (#5002). We used 3 definitions for defining potato intake:

Case 1

included WWEIA categories 6802 (baked or boiled), 6806 (mashed and mixtures)

Case 2

included WWEIA categories 6802, 6806, 6804 (fried)

Case 3

included WWEIA categories 6802, 6806, 6804, 5002 (chips)

Demographic information and physical activity levels were determined from the NHANES interview [25].

Diet quality scores were determined using the USDA Healthy Eating Index-2015 (HEI-2015) [26] which has 13 subcomponents, each reflecting an aspect of the 2015–2020 Dietary Guidelines for Americans [27] recommendations. Dietary intake was expressed per 1000 kcal for all subcomponents except for fatty acid ratios which were expressed as ratio of unsaturated to saturated fatty acids, and for saturated fat and added sugars, both expressed as % energy. Subcomponents for total vegetables; greens and beans; total fruit, whole fruit; total protein; and seafoods and plant proteins were scored proportionally from 0 to 5 points and all other subcomponents (i.e., whole grains; dairy; fatty acids; sodium; refined grains; saturated fat; and added sugars) were scored proportionally from 0 to 10 points. Four subcomponents, sodium, refined grains, saturated fat, and added sugars were reverse scored, so that lower intake leads to a higher score, and thus a greater contribution to overall diet quality. The maximum possible score was 100 [26].

Energy and nutrient intake were determined using the NHANES cycle specific USDA Food & Nutrient Database for Dietary Studies [28, 29].

Analyses were performed using SAS 9.4 and data adjusted for the complex sampling (clustered sample) design of NHANES, using appropriate survey weights, strata, and primary sampling units. Least-square means (and the standard errors of the least-square means) for diet quality (HEI-2015 score), and for energy and nutrient intake were generated using regression analyses adjusted for key covariates (age, gender and ethnicity). Usual intakes were determined using the National Cancer Institute (NCI) method and NCI macros were used to estimate distribution of usual intake [30]. Nutrient adequacy was estimated by assessing the percentage of the population below the Estimated Average Requirement (EAR) or above Adequate Intake (AI) of nutrients using the cut-point method (except for iron where the probability method was used). Significant differences between consumers and non-consumers were assessed via t-test and regression analyses were used to assess the linear relationship of potato intake quartiles with diet quality and nutrient intake.

Results

Mean per capita intake of potatoes for Case 1 (baked, boiled, and mashed and mixtures), Case 2 (baked, boiled, mashed and mixtures, and fried) and case 3 (baked, boiled, mashed and mixtures, fried, and chips) were 0.11 ± 0.01, 0.22 ± 0.01, and 0.32 ± 0.01 cup eq respectively for NHANES 2001–2018. Mean per capita intake of potatoes (for all three definitions) was stable and did not change significantly (P > 0.05) over the last 18 years (9 NHANES cycles) among US adolescents (Fig. 1).

Demographics

Approximately 15.2% of adolescents were Case 1 potato (baked, boiled, mashed and mixtures) consumers. A lower (P < 0.05) proportion of potato consumers were male (-10.3%), Mexican American (-18.3%), other Hispanic (-28.4%), non-Hispanic Black (-16.4%), other ethnicity (-23.1%), and overweight (-13.0%), while a greater proportion of Case 1 potato consumers were non-Hispanic White (+ 16.1%) as compared to non-consumers (Table 1). All other demographic characteristics evaluated were similar (P > 0.05) among consumers and non-consumers potatoes in Case 1 (Table 1).

Table 1

Demographics associated with potato consumption in adolescents (9–18 years of age, n = 16,633), NHANES 2001–2018.

 

Case 1 (Baked, Boiled, and Mashed and Mixtures)

Case 2 (Baked, Boiled, Mashed and Mixtures, and Fried Potatoes)

Case 3 (Baked, Boiled, Mashed and Mixtures, Fried Potatoes and Potato Chips)

 

Non-Consumer

Consumer

P value

Non-Consumer

Consumer

P value

Non-Consumer

Consumer

P value

Sample N

14,102

2,531

 

9,455

7,178

 

7,228

9,405

 

Mean Age (years)

13.6 ± 0.04

13.4 ± 0.1

0.1289

13.5 ± 0.04

13.6 ± 0.1

0.5562

13.6 ± 0.1

13.5 ± 0.1

0.5546

Gender (% Male)

51.3 ± 0.7

46.0 ± 1.4

0.0006

52.2 ± 0.9

48.1 ± 1.0

0.0031

52.2 ± 0.9

49.0 ± 0.9

0.0192

Ethnicity

                 

Mexican American (%)

14.2 ± 0.9

11.6 ± 1.2

0.0037

14.9 ± 1.1

12.3 ± 0.8

0.0021

15.5 ± 1.1

12.4 ± 0.9

0.0003

Other Hispanic (%)

6.69 ± 0.58

4.79 ± 0.64

0.0036

6.90 ± 0.64

5.64 ± 0.56

0.0306

7.17 ± 0.68

5.73 ± 0.52

0.0106

non-Hispanic White (%)

56.0 ± 1.4

65.0 ± 2.0

< 0.0001

56.6 ± 1.5

58.9 ± 1.6

0.0760

56.7 ± 1.6

58.2 ± 1.6

0.2819

non-Hispanic Black (%)

14.6 ± 0.8

12.2 ± 1.1

0.0060

13.0 ± 0.8

15.8 ± 1.0

0.0001

11.8 ± 0.8

16.1 ± 1.0

< 0.0001

Other (%)

8.45 ± 0.51

6.50 ± 0.77

0.0130

8.67 ± 0.56

7.37 ± 0.56

0.0296

8.78 ± 0.63

7.59 ± 0.5

0.0459

Poverty Income Ratio

                 

< 1.35 (%)

32.2 ± 1.1

30.4 ± 1.8

0.3077

32.1 ± 1.2

31.6 ± 1.2

0.6925

31.9 ± 1.3

31.9 ± 1.2

0.9704

1.35–1.85 (%)

10.8 ± 0.5

11.3 ± 1.0

0.6185

10.8 ± 0.6

10.9 ± 0.6

0.9480

10.6 ± 0.7

11.1 ± 0.6

0.5288

> 1.85 (%)

57.0 ± 1.2

58.3 ± 1.7

0.4642

57.0 ± 1.3

57.5 ± 1.3

0.7167

57.5 ± 1.4

57.1 ± 1.3

0.7703

Education

                 

< High School (%)

98.6 ± 0.2

98.1 ± 0.5

0.3469

98.8 ± 0.2

98.1 ± 0.3

0.0204

98.9 ± 0.2

98.2 ± 0.2

0.0277

High School - < Bachelor Degree (%)

1.42 ± 0.16

1.91 ± 0.49

0.3469

1.19 ± 0.16

1.92 ± 0.27

0.0204

1.15 ± 0.17

1.78 ± 0.23

0.0277

Physical Activity

                 

Sedentary (%)

14.5 ± 0.5

14.2 ± 1.0

0.8119

14.4 ± 0.6

14.4 ± 0.6

0.9965

14.7 ± 0.7

14.2 ± 0.6

0.5265

Moderate (%)

24.6 ± 0.6

24.9 ± 1.3

0.8601

24.6 ± 0.7

24.7 ± 0.8

0.9820

24.4 ± 0.9

24.8 ± 0.8

0.7157

Vigorous (%)

60.9 ± 0.7

60.9 ± 1.5

0.9982

60.9 ± 0.8

60.9 ± 0.9

0.9809

60.9 ± 1.0

61.0 ± 0.9

0.9163

Smoking Never (%)

79.1 ± 0.6

82.3 ± 1.7

0.0702

79.9 ± 0.8

79.4 ± 0.9

0.6578

79.3 ± 0.8

79.9 ± 0.8

0.5726

Smoking Current (%)

3.78 ± 0.35

3.01 ± 0.60

0.2444

3.88 ± 0.42

3.33 ± 0.37

0.2695

4.03 ± 0.51

3.34 ± 0.34

0.2338

Overweight (%)

16.9 ± 0.4

14.7 ± 1.0

0.0439

16.7 ± 0.5

16.3 ± 0.7

0.6819

16.9 ± 0.6

16.2 ± 0.6

0.4541

Obese (%)

19.3 ± 0.7

18.3 ± 1.0

0.3711

18.4 ± 0.7

20.2 ± 0.9

0.0788

18.4 ± 0.7

19.8 ± 0.8

0.1729

Data is presented as Mean ± Standard Error. “Other Hispanic” and “Other” are not sampled in a way to be nationally representative.

Approximately 43.2% and 56.5% of adolescents were potato consumers by potato intake definition Case 2 (baked, boiled, mashed and mixtures, and fried) and Case 3 (baked, boiled, mashed and mixtures, fried, chips), respectively. For these potato definitions a lower (P < 0.05) proportion of adolescent consumers were male (-7.85% and − 6.13%, respectively), Mexican American (-17.4% and − 20.0%, respectively), other Hispanic (-18.3% and − 20.1%, respectively), other ethnicity (-15.0% and − 13.6% respectively), and below HS education (-0.71% and − 0.71% respectively), and a higher (P < 0.05) proportion were (P < 0.05) non-Hispanic Black (+ 21.5% and + 36.4%, respectively) and had a HS education (+ 61.3% and + 54.8% respectively). All other demographic characteristics evaluated were similar (P > 0.05) among consumers and non-consumers of potatoes in Case 2 and 3 (Table 1).

Diet Quality

Adolescent consumers of potatoes in Case 1 (baked, boiled, mashed and mixtures) as compared to non-consumers had higher HEI-2015 total score (+ 4.70%, P < 0.01), and the score gradually increased with increasing intake quartile (β = 0.77 ± 0.15, Pquartile trend<0.01). HEI-2015 subcomponent scores among potato consumers compared to non-consumers were also higher (P < 0.05) for total vegetables (+ 49.5%), total protein foods (+ 9.22%), refined grain (+ 24.2%) and added sugar (+ 5.76%); and gradually increased with increasing intake quartiles (β = 0.39 ± 0.02, β = 0.09 ± 0.02, β = 0.42 ± 0.05, β = 0.13 ± 0.04, respectively; Pquartile trend<0.01 for all). However, subcomponent scores among Case 1 potato consumers compared to non-consumers were lower for dairy and sodium (-5.61%, -10.1%, respectively; P < 0.01 for both) and gradually decreased with increasing intake quartiles (β=-0.15 ± 0.03, β=-0.17 ± 0.03, respectively; Pquartile trend<0.01 for both) (Table 2).

Table 2

Healthy Eating Index (HEI) 2015 and sub-component scores in adolescents (9–18 years of age, n = 16,633) potato (Case 1; baked, boiled, mashed and mixtures) consumers and non-consumers, and by intake quartiles, NHANES 2001–2018; gender combined data.

HEI 2015 Components

Non-Consumers

Consumers

P value

Potato intake quartiles for consumers (cup equivalents)

Q1

(< 0.50)

Q2

(0.50 to < 0.59)

Q3

(0.59 to < 0.69)

Q4

(≥ 0.69)

Pquartile trend

Total score

44.7 ± 0.2

46.8 ± 0.4

< 0.0001

46.8 ± 0.7

45.3 ± 0.7

46.5 ± 0.7

48.4 ± 0.8

< 0.0001

Component 1 (total vegetables)

2.06 ± 0.02

3.08 ± 0.04

< 0.0001

2.60 ± 0.09

2.94 ± 0.07

3.26 ± 0.09

3.52 ± 0.11

< 0.0001

Component 2 (greens and beans)

0.88 ± 0.03

0.85 ± 0.05

0.6393

1.02 ± 0.10

0.75 ± 0.11

0.83 ± 0.11

0.78 ± 0.10

0.3384

Component 3 (total fruit)

2.07 ± 0.04

2.11 ± 0.06

0.5131

2.05 ± 0.13

1.89 ± 0.13

2.09 ± 0.12

2.39 ± 0.13

0.1010

Component 4 (whole fruit)

1.82 ± 0.04

1.85 ± 0.06

0.6642

1.86 ± 0.14

1.48 ± 0.14

1.81 ± 0.13

2.26 ± 0.15

0.1095

Component 5 (whole grains)

2.09 ± 0.04

2.12 ± 0.10

0.7451

2.16 ± 0.20

1.95 ± 0.18

2.04 ± 0.19

2.33 ± 0.20

0.5762

Component 6 (dairy)

6.42 ± 0.05

6.06 ± 0.10

0.0001

6.08 ± 0.18

6.57 ± 0.19

5.82 ± 0.21

5.76 ± 0.22

< 0.0001

Component 7 (total protein foods)

3.58 ± 0.03

3.91 ± 0.05

< 0.0001

4.04 ± 0.08

3.93 ± 0.07

3.81 ± 0.10

3.85 ± 0.11

< 0.0001

Component 8 (seafood and plant protein)

1.53 ± 0.03

1.51 ± 0.07

0.8394

1.57 ± 0.11

1.42 ± 0.11

1.44 ± 0.12

1.62 ± 0.17

0.9606

Component 9 (fatty acid ratio)

4.09 ± 0.05

4.05 ± 0.13

0.7803

4.37 ± 0.23

3.85 ± 0.22

4.00 ± 0.21

4.00 ± 0.25

0.5025

Component 10 (sodium)

4.75 ± 0.05

4.27 ± 0.10

< 0.0001

4.45 ± 0.19

4.18 ± 0.21

4.41 ± 0.19

4.05 ± 0.19

< 0.0001

Component 11 (refined grain)

4.72 ± 0.05

5.86 ± 0.11

< 0.0001

5.55 ± 0.23

5.45 ± 0.23

6.27 ± 0.19

6.16 ± 0.25

< 0.0001

Component 12 (saturated fat)

5.54 ± 0.05

5.60 ± 0.11

0.6196

5.75 ± 0.23

5.46 ± 0.21

5.54 ± 0.18

5.63 ± 0.24

0.7499

Component 13 (added sugar)

5.21 ± 0.05

5.51 ± 0.12

0.0177

5.30 ± 0.19

5.48 ± 0.21

5.19 ± 0.22

6.04 ± 0.19

0.0031

Data adjusted for age, gender and ethnicity; and presented as Least Square Mean ± Standard Error.

Adolescent consumers of potatoes in Case 2 (baked, boiled, mashed and mixtures, fried) as compared to non-consumers also had a higher (2.01%, P < 0.01) HEI-2015 total score, and higher (P < 0.01) subcomponent scores for total vegetables (36.8%), total protein foods (7.39%), fatty acid ratio (16.5%) and refined grain (27.5%). However, subcomponent scores among Case 2 potato consumers compared to non-consumers were lower (P < 0.01) for greens and beans (-20.0%), total fruit (-11.5%), whole fruit (-13.4%), whole grain (-18.5%), dairy (-8.64%), and seafood and plant protein (-11.9%) (Table 3).

Table 3

Healthy Eating Index (HEI) 2015 and sub-component scores associated with potato consumption in adolescents (9–18 years of age, n = 16,633) - NHANES 2001–2018; gender combined data.

 

Case 2 (Baked, Boiled, Mashed and Mixtures, and Fried Potatoes)

Case 3 (Baked, Boiled, Mashed and Mixtures, Fried Potatoes and Potato Chips)

 

Non-Consumers

Consumers

P value

Non-Consumers

Consumers

P value

Total score

44.7 ± 0.2

45.6 ± 0.2

0.0062

44.7 ± 0.3

45.4 ± 0.2

0.0346

Component 1 (total vegetables)

1.93 ± 0.03

2.64 ± 0.03

< 0.0001

1.81 ± 0.03

2.57 ± 0.02

< 0.0001

Component 2 (greens and beans)

0.95 ± 0.03

0.76 ± 0.04

< 0.0001

1.02 ± 0.04

0.75 ± 0.03

< 0.0001

Component 3 (total fruit)

2.18 ± 0.04

1.93 ± 0.04

< 0.0001

2.18 ± 0.05

1.99 ± 0.04

0.0012

Component 4 (whole fruit)

1.94 ± 0.05

1.68 ± 0.05

< 0.0001

1.96 ± 0.05

1.73 ± 0.05

0.0002

Component 5 (whole grains)

2.27 ± 0.05

1.85 ± 0.06

< 0.0001

2.39 ± 0.06

1.86 ± 0.05

< 0.0001

Component 6 (dairy)

6.60 ± 0.06

6.03 ± 0.07

< 0.0001

6.69 ± 0.07

6.09 ± 0.06

< 0.0001

Component 7 (total protein foods)

3.52 ± 0.04

3.78 ± 0.03

< 0.0001

3.53 ± 0.04

3.72 ± 0.03

0.0002

Component 8 (seafood and plant protein)

1.60 ± 0.03

1.41 ± 0.05

0.0004

1.62 ± 0.04

1.44 ± 0.04

0.0007

Component 9 (fatty acid ratio)

3.81 ± 0.05

4.44 ± 0.08

< 0.0001

3.70 ± 0.06

4.38 ± 0.07

< 0.0001

Component 10 (sodium)

4.64 ± 0.06

4.70 ± 0.07

0.4611

4.59 ± 0.07

4.73 ± 0.06

0.0882

Component 11 (refined grain)

4.40 ± 0.06

5.61 ± 0.07

< 0.0001

4.27 ± 0.07

5.42 ± 0.06

< 0.0001

Component 12 (saturated fat)

5.57 ± 0.05

5.53 ± 0.07

0.5763

5.55 ± 0.06

5.55 ± 0.06

0.9781

Component 13 (added sugar)

5.33 ± 0.07

5.18 ± 0.07

0.1064

5.41 ± 0.07

5.15 ± 0.07

0.0073

Data adjusted for age, gender and ethnicity; and presented as Least Square Mean ± Standard Error.

Table 4

Covariate (age, gender and ethnicity) adjusted energy and nutrient intakes in adolescents (9–18 years of age, n = 16,633) potato (Case 1; baked, boiled, mashed and mixtures) consumers and non-consumers, by intake quartiles, NHANES 2001–2018; gender combined data.

 

Non-Consumers

Consumers

P value

Potato intake quartiles for consumers (cup equivalents)

Q1

(< 0.50)

Q2

(0.50 to < 0.59)

Q3

(0.59 to < 0.69)

Q4

(≥ 0.69)

Pquartile trend

Energy (kcal)

2094 ± 12

2225 ± 24

< 0.0001

2187 ± 41

2189 ± 49

2157 ± 48

2366 ± 61

< 0.0001

Carbohydrate (gm)

276 ± 2

291 ± 3

0.0002

286 ± 6

286 ± 7

283 ± 7

308 ± 8

0.0001

Dietary fiber (gm)

14.1 ± 0.1

15.3 ± 0.2

< 0.0001

14.6 ± 0.4

14.5 ± 0.4

14.5 ± 0.4

17.5 ± 0.5

< 0.0001

Protein (gm)

73.9 ± 0.5

82.8 ± 1.3

< 0.0001

80.4 ± 1.8

82.1 ± 2.2

77.9 ± 2.0

90.7 ± 3.0

< 0.0001

Calcium (mg)

1029 ± 10

1023 ± 18

0.7320

1001 ± 31

1052 ± 33

960 ± 34

1080 ± 40

0.9113

Copper (mg)

1.05 ± 0.01

1.18 ± 0.02

< 0.0001

1.10 ± 0.03

1.12 ± 0.04

1.15 ± 0.03

1.35 ± 0.05

< 0.0001

Iron (mg)

15.2 ± 0.1

15.5 ± 0.2

0.2581

15.3 ± 0.4

15.5 ± 0.4

14.8 ± 0.5

16.5 ± 0.5

0.1380

Magnesium (mg)

242 ± 2

267 ± 4

< 0.0001

253 ± 6

259 ± 6

254 ± 6

302 ± 10

< 0.0001

Phosphorus (mg)

1315 ± 9

1402 ± 19

< 0.0001

1372 ± 30

1405 ± 34

1327 ± 36

1502 ± 44

< 0.0001

Potassium (mg)

2205 ± 17

2617 ± 34

< 0.0001

2382 ± 50

2471 ± 58

2521 ± 57

3086 ± 82

< 0.0001

Selenium (µg)

102 ± 1

109 ± 2

0.0003

108 ± 3

109 ± 3

101 ± 3

119 ± 4

0.0004

Sodium (mg)

3363 ± 26

3665 ± 48

< 0.0001

3578 ± 80

3625 ± 103

3493 ± 72

3959 ± 116

< 0.0001

Zinc (mg)

11.0 ± 0.1

12.0 ± 0.2

< 0.0001

11.3 ± 0.3

11.8 ± 0.3

11.6 ± 0.4

13.3 ± 0.5

< 0.0001

Vitamin A (RE) (µg)

584 ± 7

640 ± 17

0.0013

610 ± 22

632 ± 33

605 ± 29

711 ± 47

0.0017

Vitamin B6 (mg)

1.78 ± 0.02

2.15 ± 0.03

< 0.0001

1.96 ± 0.05

2.04 ± 0.07

2.07 ± 0.06

2.53 ± 0.09

< 0.0001

Vitamin B12 (µg)

5.12 ± 0.07

5.30 ± 0.11

0.1633

5.13 ± 0.17

5.09 ± 0.18

4.96 ± 0.20

6.01 ± 0.33

0.0515

Thiamin (mg)

1.65 ± 0.01

1.72 ± 0.03

0.0126

1.67 ± 0.04

1.72 ± 0.05

1.63 ± 0.05

1.87 ± 0.06

0.0046

Riboflavin (mg)

2.08 ± 0.02

2.15 ± 0.03

0.0690

2.13 ± 0.05

2.15 ± 0.06

2.01 ± 0.06

2.29 ± 0.08

0.0483

Niacin (mg)

23.0 ± 0.2

25.7 ± 0.4

< 0.0001

24.7 ± 0.6

25.2 ± 0.9

24.4 ± 0.7

28.6 ± 1.1

< 0.0001

Folate, DFE (µg)

557 ± 6

554 ± 14

0.8296

550 ± 19

588 ± 36

527 ± 22

549 ± 24

0.6519

Vitamin C (mg)

73.9 ± 1.4

91.0 ± 3.6

< 0.0001

78.6 ± 4.3

85.0 ± 5.2

90.4 ± 4.9

109.6 ± 11.6

< 0.0001

Vitamin D (D2 + D3) (µg)

5.33 ± 0.08

5.52 ± 0.15

0.2182

5.33 ± 0.25

5.62 ± 0.30

5.08 ± 0.25

6.06 ± 0.36

0.1189

Vitamin E (ATE) (mg)

7.10 ± 0.10

7.45 ± 0.17

0.0834

7.50 ± 0.35

6.81 ± 0.35

7.27 ± 0.37

8.21 ± 0.44

0.0437

Vitamin K (µg)

64.9 ± 1.3

79.3 ± 3.7

0.0003

81.0 ± 7.4

61.2 ± 3.4

84.5 ± 10.8

90.2 ± 7.3

0.0002

Total choline (mg)

262 ± 3

301 ± 6

< 0.0001

292 ± 10

293 ± 8

272 ± 8

343 ± 14

< 0.0001

Data presented as Least Square Mean ± Standard Error. RE: retinol equivalent; DFE: dietary folate equivalent; ATE: alpha tocopherol equivalent

Adolescent consumers of potatoes in Case 3 (baked, boiled, mashed and mixtures, fried, chips) as compared to non-consumers had a higher (1.57%, P < 0.05) HEI-2015 total score, and higher (P < 0.01) subcomponent scores for total vegetables (41.2%), total protein foods (5.38%), fatty acid ratio (18.4%) and refined grain (26.9%); and lower (P < 0.01) subcomponent score for greens and beans (-26.5%), total fruit (-8.72%), whole fruit (-11.7%), whole grain (-22.2%), dairy (-8.97%), seafood and plant protein (-11.1%), added sugar (-4.81%) (Table 3).

Nutrient Intake

Adolescent consumers of potatoes in Case 1 (baked, boiled, mashed and mixtures) as compared to non-consumers had higher (P < 0.05) intake of energy (+ 6.26%), carbohydrate (+ 5.43%), dietary fiber (+ 8.51%), protein (+ 12.0%), copper (+ 12.4%), magnesium (+ 10.3%), phosphorus (+ 6.62%), potassium (+ 18.7%), selenium (+ 6.86%), sodium (+ 8.98%), zinc (+ 9.09%), vitamin A (+ 9.59%), thiamine (+ 4.24%), niacin (+ 11.7%), vitamin B6 (+ 20.8%), vitamin C (+ 23.1%), vitamin K (+ 22.2%) and total choline (+ 14.9%). Intakes of all other nutrients evaluated were similar (P > 0.05) among consumers and non-consumers (Table 3). Increasing intake quartiles also gradually increased (Pquartile trend<0.05) intake of energy (β = 51.9 ± 10.2 kcal), carbohydrate (β = 5.86 ± 1.47 mg), dietary fiber (β = 0.55 ± 0.09 g), protein (β = 3.36 ± 0.50 g), copper (β = 0.06 ± 0.01 mg), magnesium (β = 10.6 ± 1.6 mg), phosphorus (β = 33.8 ± 7.2 mg), potassium (β = 174 ± 12 mg), selenium (β = 2.75 ± 0.75 µg), sodium (β = 116 ± 18 mg), zinc (β = 0.43 ± 0.08 mg), vitamin A (β = 23.2 ± 7.2), thiamine (β = 0.03 ± 0.01 mg), riboflavin (β = 0.03 ± 0.01 mg), niacin (β = 1.08 ± 0.18 mg), vitamin B6 (β = 0.15 ± 0.01 mg), vitamin C (β = 7.36 ± 1.73 mg), vitamin E (β = 0.16 ± 0.08 mg), vitamin K (β = 5.62 ± 1.46 µg) and total choline (β = 15.1 ± 2.2 mg) (Table 3).

Adolescent consumers of potatoes in Case 2 (baked, boiled, mashed and mixtures, fried) as compared to non-consumers had higher (P < 0.05) intake of energy (+ 11.5%), carbohydrate (+ 9.33%), dietary fiber (+ 6.47%), protein (+ 8.94%), copper (+ 8.74%), magnesium (+ 5.81%), phosphorus (+ 6.41%), potassium (+ 16.8%), selenium (+ 2.94%), sodium (+ 10.6%), zinc (+ 6.42%), niacin (+ 11.2%), vitamin B6 (+ 15.0%), vitamin C (+ 8.91%), vitamin E (+ 5.72%), vitamin K (+ 9.26%) and total choline (+ 11.3%); and lower (P < 0.05) intakes of vitamin A (-4.62%) and folate (-5.44%). Intakes of all other nutrients evaluated were similar (P > 0.05) among consumers and non-consumers of Case 2 potatoes (Table 5).

Table 5

Energy and nutrients intake associated with potato consumption in adolescents (9–18 years of age, n = 16,633), NHANES 2001–2018; gender combined data.

 

Case 2 (Baked, Boiled, Mashed and mixtures, and Fried Potatoes)

Case 3 (Baked, Boiled, Mashed and mixtures, Fried Potatoes and Potato Chips)

 

Non-Consumers

Consumers

P value

Non-Consumers

Consumers

P value

Energy (kcal)

2017 ± 13

2249 ± 17

< 0.0001

1985 ± 15

2220 ± 15

< 0.0001

Carbohydrate (gm)

268 ± 2

293 ± 2

< 0.0001

264 ± 2

290 ± 2

< 0.0001

Dietary fiber (gm)

13.9 ± 0.1

14.8 ± 0.2

< 0.0001

13.9 ± 0.2

14.6 ± 0.1

0.0005

Protein (gm)

72.7 ± 0.6

79.2 ± 0.8

< 0.0001

72.6 ± 0.7

77.7 ± 0.7

< 0.0001

Calcium (mg)

1037 ± 12

1017 ± 13

0.2000

1038 ± 13

1021 ± 11

0.2560

Copper (mg)

1.03 ± 0.01

1.12 ± 0.01

< 0.0001

1.02 ± 0.01

1.11 ± 0.01

< 0.0001

Iron (mg)

15.3 ± 0.2

15.2 ± 0.2

0.8170

15.3 ± 0.2

15.2 ± 0.1

0.5838

Magnesium (mg)

241 ± 2

255 ± 3

< 0.0001

239 ± 2

253 ± 2

< 0.0001

Phosphorus (mg)

1295 ± 11

1378 ± 13

< 0.0001

1291 ± 12

1361 ± 11

< 0.0001

Potassium (mg)

2124 ± 18

2480 ± 25

< 0.0001

2062 ± 22

2444 ± 21

< 0.0001

Selenium (µg)

102 ± 1

105 ± 1

0.0206

102 ± 1

105 ± 1

0.0504

Sodium (mg)

3267 ± 26

3614 ± 35

< 0.0001

3233 ± 32

3559 ± 31

< 0.0001

Zinc (mg)

10.9 ± 0.1

11.6 ± 0.1

< 0.0001

10.9 ± 0.1

11.5 ± 0.1

0.0002

Vitamin A (RE) (µg)

605.5 ± 8.7

577.9 ± 9.6

0.0174

613 ± 10

578 ± 9

0.0028

Thiamin (mg)

1.66 ± 0.02

1.67 ± 0.02

0.7206

1.65 ± 0.02

1.67 ± 0.02

0.3245

Riboflavin (mg)

2.09 ± 0.02

2.10 ± 0.02

0.7829

2.10 ± 0.03

2.09 ± 0.02

0.9084

Niacin (mg)

22.4 ± 0.2

24.9 ± 0.3

< 0.0001

22.3 ± 0.3

24.5 ± 0.2

< 0.0001

Folate, DFE (µg)

570 ± 7

539 ± 8

0.0026

572 ± 8

544 ± 7

0.0044

Vitamin B6 (mg)

1.73 ± 0.02

1.99 ± 0.02

< 0.0001

1.71 ± 0.03

1.95 ± 0.02

< 0.0001

Vitamin B12 (µg)

5.10 ± 0.08

5.21 ± 0.07

0.2476

5.12 ± 0.09

5.17 ± 0.07

0.6395

Vitamin C (mg)

74.1 ± 1.6

80.7 ± 1.9

0.0033

72.1 ± 1.6

80.7 ± 1.7

0.0001

Vitamin D (D2 + D3) (µg)

5.45 ± 0.10

5.26 ± 0.10

0.1158

5.47 ± 1.0

5.29 ± 0.09

0.1232

Vitamin E (ATE) (mg)

6.99 ± 0.13

7.39 ± 0.09

0.0116

6.60 ± 0.16

7.60 ± 0.10

< 0.0001

Vitamin K (µg)

64.8 ± 1.7

70.8 ± 1.9

0.0103

65.9 ± 2.0

68.6 ± 1.6

0.2785

Total choline (mg)

256.2 ± 3.0

284.7 ± 3.6

< 0.0001

258 ± 4

277 ± 3

0.0001

Data adjusted for age, gender and ethnicity; and presented as Least Square Mean ± Standard Error. RE: retinol equivalent; DFE: dietary folate equivalent; ATE: alpha tocopherol equivalent

Adolescent consumers of potatoes in Case 3 (baked, boiled, mashed and mixtures, fried, chips) as compared to non-consumers had higher (P < 0.01) intake of energy (+ 11.8%), carbohydrate (+ 9.85%), dietary fiber (+ 5.04%), protein (+ 7.02%), copper (+ 8.82%), magnesium (+ 5.86%), phosphorus (+ 5.42%), potassium (+ 18.5%), sodium (+ 10.1%), zinc (+ 5.50%), niacin (+ 9.87%), vitamin B6 (+ 14.0%), vitamin C (+ 11.9%), vitamin E (+ 15.2%) and total choline (+ 7.36%); and lower (P < 0.01) intakes of vitamin A (-5.71%) and folate (-4.90%). Intakes of all other nutrients evaluated were similar (P > 0.05) among consumers and non-consumers of Case 3 potatoes (Table 5).

Nutrient Adequacy

Compared to non-consumers, a lower (P < 0.05) proportion of adolescent consumers of potatoes in Case 1 (baked, boiled, mashed and mixtures) were below the EAR for carbohydrate, protein, copper, iron, magnesium, phosphorus, selenium, zinc, vitamin A, thiamine, riboflavin, niacin, vitamin B6 and vitamin C, and a higher (P < 0.05) proportion were above AI for potassium, sodium and vitamin K (Table 6).

Table 6

Nutrient adequacy in adolescent (9–18 years of age, n = 16,633) potato consumers and non-consumers (NHANES 2001–2018, gender combined data).

 

Case 1 (Baked, Boiled, and Mashed and Mixtures)

Case 2 (Baked, Boiled, Mashed and Mixtures, and Fried Potatoes)

Case 3 (Baked, Boiled, Mashed and Mixtures, Fried Potatoes and Potato Chips)

 

Non-Consumers

Consumers

P value

Non-Consumers

Consumers

P value

Non-Consumers

Consumers

P value

 

% population below Estimated Average Requirement (EAR)

Carbohydrate

0.13 ± 0.04

0.01 ± 0.01

0.0026

0.18 ± 0.06

0.03 ± 0.01

0.0154

0.22 ± 0.08

0.03 ± 0.01

0.0206

Protein

1.43 ± 0.30

0.19 ± 0.15

0.0002

1.85 ± 0.45

0.41 ± 0.14

0.0025

1.98 ± 0.56

0.62 ± 0.16

0.0203

Calcium

61.9 ± 1.0

63.4 ± 2.1

0.5212

60.5 ± 1.2

64.4 ± 1.40

0.0313

60.1 ± 1.3

63.7 ± 1.2

0.0430

Copper

7.16 ± 0.65

1.46 ± 0.42

< 0.0001

7.93 ± 0.85

3.57 ± 0.45

< 0.0001

9.16 ± 1.04

3.90 ± 0.38

< 0.0001

Iron

4.01 ± 0.37

2.65 ± 0.36

0.0084

4.15 ± 0.48

3.14 ± 0.29

0.0726

4.53 ± 0.57

3.16 ± 0.28

0.0306

Magnesium

59.5 ± 0.8

48.1 ± 1.7

< 0.0001

59.3 ± 0.9

55.5 ± 1.07

0.0071

59.9 ± 1.1

56.0 ± 0.9

0.0054

Phosphorus

27.4 ± 1.0

18.8 ± 2.5

0.0011

29.3 ± 1.2

21.4 ± 1.3

< 0.0001

29.3 ± 1.4

23.1 ± 1.19

0.0006

Selenium

0.40 ± 0.11

0.04 ± 0.06

0.0042

0.43 ± 0.15

0.16 ± 0.07

0.1003

0.54 ± 0.20

0.17 ± 0.06

0.0774

Zinc

15.1 ± 1.1

8.8 ± 1.6

0.0015

16.8 ± 1.3

10.4 ± 1.1

0.0002

17.2 ± 1.5

11.5 ± 1.1

0.0023

Vitamin A

41.5 ± 1.1

30.0 ± 2.9

0.0002

37.9 ± 1.3

42.0 ± 1.5

0.0461

37.3 ± 1.5

41.6 ± 1.3

0.0294

Thiamin

3.64 ± 0.51

1.10 ± 0.37

0.0001

3.90 ± 0.62

2.10 ± 0.38

0.0137

4.83 ± 0.71

1.99 ± 0.37

0.0004

Riboflavin

2.47 ± 0.41

0.87 ± 0.30

0.0017

2.82 ± 0.50

1.41 ± 0.32

0.0166

2.81 ± 0.61

1.66 ± 0.28

0.0850

Niacin

1.08 ± 0.27

0.11 ± 0.08

0.0005

1.68 ± 0.43

0.15 ± 0.07

0.0005

2.08 ± 0.53

0.24 ± 0.08

0.0006

Folate, DFE

7.42 ± 0.84

5.75 ± 1.12

0.2337

6.96 ± 0.88

7.15 ± 0.82

0.8771

7.56 ± 1.00

6.82 ± 0.78

0.5621

Vitamin B6

6.12 ± 0.79

0.30 ± 0.16

< 0.0001

7.85 ± 1.09

1.37 ± 0.35

< 0.0001

8.80 ± 1.29

1.94 ± 0.39

< 0.0001

Vitamin B12

2.58 ± 0.45

1.37 ± 0.44

0.0531

3.11 ± 0.57

1.48 ± 0.39

0.0174

3.33 ± 0.69

1.72 ± 0.35

0.0387

Vitamin C

32.1 ± 1.4

17.2 ± 2.2

< 0.0001

31.6 ± 1.7

26.3 ± 1.6

0.0224

33.3 ± 2.0

26.3 ± 1.5

0.0058

Vitamin D

91.9 ± 0.6

91.3 ± 1.2

0.6822

90.6 ± 0.8

93.1 ± 0.8

0.0270

90.3 ± 0.9

92.9 ± 0.7

0.0226

Vitamin E

88.3 ± 1.1

88.5 ± 2.1

0.9446

87.6 ± 1.3

89.5 ± 1.3

0.3225

90.2 ± 1.5

87.3 ± 1.3

0.1381

 

% population above Adequate Intake (AI)

Dietary fiber

0.44 ± 0.10

0.31 ± 0.13

0.4215

0.57 ± 0.13

0.26 ± 0.08

0.0469

0.65 ± 0.18

0.33 ± 0.08

0.1037

Potassium

28.3 ± 1.0

53.1 ± 2.5

< 0.0001

25.1 ± 1.1

42.4 ± 1.5

< 0.0001

22.7 ± 1.2

40.3 ± 1.3

< 0.0001

Sodium

99.6 ± 0.1

100 ± 0.04

0.0006

99.5 ± 0.2

99.9 ± 0.03

0.0020

99.2 ± 0.2

99.9 ± 0.03

0.0013

Vitamin K

37.2 ± 1.6

54.4 ± 3.5

< 0.0001

36.4 ± 1.8

46.2 ± 2.2

0.0007

37.0 ± 2.2

42.8 ± 1.9

0.0430

Total choline

5.45 ± 0.60

6.72 ± 1.43

0.4122

5.96 ± 0.76

5.25 ± 0.80

0.5189

6.35 ± 0.91

5.25 ± 0.67

0.3302

DFE: dietary folate equivalent

Similarly, compared to non-consumers, a lower (P < 0.05) proportion of adolescent consumers of potatoes in Case 2 (baked, boiled, mashed and mixtures, fried) were below the EAR for carbohydrate, protein, copper, magnesium, phosphorus, zinc, thiamine, riboflavin, niacin, vitamin B6, vitamin B12 and vitamin C; and a higher (P < 0.05) proportion were above AI for potassium, sodium and vitamin K. However, a higher (P < 0.05) proportion of consumers compared to non-consumers were below the EAR for calcium, vitamin A and vitamin D; and a lower (P < 0.05) proportion were above AI for dietary fiber (Table 6).

Compared to non-consumers, a lower (P < 0.05) proportion of adolescent consumers of potatoes in Case 3 (baked, boiled, mashed and mixtures, fried, chips) also were below the EAR for carbohydrate, protein, copper, iron, magnesium, phosphorus, zinc, thiamine, niacin, vitamin B6, vitamin B12 and vitamin C, and a higher (P < 0.05) proportion were above AI for potassium, sodium and vitamin K. However, a higher (P < 0.05) proportion of consumers compared to non-consumers were below the EAR for calcium, vitamin A and vitamin D (Table 6).

Discussion

In the current cross-sectional analysis of data from nine cycles of NHANES (NHANES 2001–2018) using a nationally representative sample of over 16 thousand US adolescent, potato consumption was associated with better diet quality, higher intake and adequacy of several nutrients including shortfall nutrients.

Potatoes are part of starchy vegetables subgroup and are present in many different forms representing various cooking/processing methods, in the diet. Potato chips, boiled potatoes, fries (French fries and home fries) and baked potatoes represent 28.7%, 23.5%, 22.3%, 10.8% respectively of starchy vegetables intake among children age 4–18 years [31]. Limited data suggest that different forms of potatoes may have different nutritional and/or health attributes/outcomes [3235]. For example, baked potatoes have low glycemic index due to their high amount of resistant starch – a dietary fiber [36, 37]. Potato chips are often considered as junk food, and fried potatoes may contain acrylamide which is a potential carcinogen [38]. In the present analysis, we used three different definitions to define potato consumers - Case 1: those consuming baked, boiled, mashed and mixtures; Case 2: those consuming baked, boiled, mashed and mixtures, fried; and Case 3: those consuming baked, boiled, mashed and mixtures, fried, chips and compared them to their respective non-consumers to differentiate specific attributes of different potato forms. Interestingly, irrespective of the potato consumer definition used the consumers always had better diet quality, nutrient intake and adequacy.

Potato consumers (by all three definitions) always had better diet quality, albeit in the 1.6–4.7% range) as assessed using HEI 2015. HEI is a validated measure of diet quality and is indicative of compliance/adherence of a person’s diet to the eating pattern recommended by the Dietary Guidelines [27, 39] and is commonly used to evaluate diets and dietary interventions [4042], food environments [40], to assess changes in the diet quality over time [41, 42] and to validate other nutrition research tools and indexes [43]. It has also been used to understand relationships between nutrients/foods/dietary patterns and health-related outcomes in scientific studies [4447]. With this metric, a higher score is indicative of compliance/adherence to dietary recommendations using 13 components (nine for adequacy and four for moderation), each of which relates to key recommendations of the Dietary guidelines [27]. In the present analysis, potato consumers of baked, boiled, mashed and mixtures (Case 1) compared to non-consumers had 2.1-point higher HEI 2015 total score and the score gradually increased with increasing intake quartiles. HEI 2015 total scores were also higher for potato consumers of baked, boiled, mashed and mixtures, fried (Case 2) and for consumers of baked, boiled, mashed and mixtures, fried, chips (Case 3) than their respective non-consumers, however, the difference was smaller (+ 0.9 and + 0.7 respectively). Additionally, compared to Case 1 consumers, Case 2 and Case 3 consumers had more HEI 2015 subcomponent scores lower than non-consumers (2 subcomponents for Case 1 vs 6 subcomponents for Case 2 and 7 subcomponents for Case 3) suggesting that diet quality for consumers was influences by other foods commonly consumed with fried potatoes and potato chips.

Potato consumers had significantly higher intakes of dietary fiber, copper, magnesium, phosphorus, potassium, selenium, zinc, niacin, vitamin B6, vitamin C, vitamin E, vitamin K and total choline, and their intake increased with increasing potato intake quartiles. Additionally, potato consumers also had higher nutrient adequacy for copper, magnesium, phosphorus, potassium, zinc, thiamine, niacin, vitamin B6, vitamin B12, vitamin C and vitamin K than non-consumers. Many of these nutrients are currently under-consumed, and especially dietary fiber and potassium are identified as "Dietary Components of Public Health Concern for Underconsumption” due their inadequate intake [39]. Additionally, Dietary Guidelines for Americans 2020–2025 [39] indicated that low intake of nutrient dense foods within food groups has led to low intakes of phosphorus, magnesium and choline. Higher intakes of micronutrients among potato consumers as observed in the present analysis, were also reported in earlier cross-sectional studies from both US and international cohorts [17, 18, 24, 48]. Since potatoes are a good source of several of the above nutrients [24] potato consumption is naturally expected to lead to more nutrient dense diets and greater adequacy for nutrients.

Although, potato consumers had higher dietary fiber intake than non-consumers, the difference was about 1 g or less and % above AI remained very low (less than 1% population above AI). On the other hand, potato consumption was associated with a 300–400 mg/d increase in potassium and the % of the population above the AI increased 17–25 percentage points. Similarly, potato consumption was also associated with significant and substantial increase in intake and population adequacy for copper, magnesium, phosphorus, vitamin B6, vitamin C and vitamin K. Substantially higher intake and higher adequacy of these nutrients among potato consumers indicates that regular inclusion of potatoes in the diet might be an effective strategy to improve nutritional status of these nutrients.

However, potato consumption was also associated with increased the sodium intake. While sodium is an essential nutrient, average intakes of sodium is high across US population compared to the Chronic Disease Risk Reduction Levels [39]. However, starchy vegetables including potatoes are a relatively minor source of sodium contributing to about 4% intake compared to sandwiches or grain based mixed dishes contributing to 21% and 8% intakes respectively [39].

The strengths of this study include the use of large nationally representative sample achieved through combining several sets of NHANES data releases and the use of numerous covariates to adjust data to remove potential confounding but even with these covariates some residual confounding may still exist. A major limitation of this study is the use of cross-sectional study design, which cannot be used to determine cause and effect. The self-reported dietary recalls for dietary intake data relying on memory are potentially subject to reporting bias.

Conclusion

The results show that potato consumption was associated with better diet quality, higher nutrient intake and improved nutrient adequacy. Potatoes are nutrient rich foods and are major contributor of starchy vegetables. Current intakes of vegetables including starchy vegetables are less than recommended levels [39]. Encouraging potato consumption may be an effective strategy for improving intakes and adequacy of vegetables and certain nutrients and achieving a healthier dietary pattern.

Abbreviations

AI: Adequate Intake; EAR: Estimated Average Requirement; HEI: Healthy Eating Index; IOM: Institute of Medicine; NCI: National Cancer Institute; NHANES: National Health and Nutrition Examination Survey; WWEIA: What We Eat in America; WIC: Women, Infants, and Children.

Declarations

Ethics approval and consent to participate: The data used for this manuscript was from the National Health and Nutrition Examination Survey (NHANES) 2001–2018; Data collection for NHANES was approved by the Research Ethics Review Board of the National Center for Health Statistics and all participants or proxies provided written informed consent. NHANES has stringent consent protocols and procedures to ensure confidentiality and protection from identification. This study was a secondary data analysis which lacked personal identifiers, therefore, did not require Institutional Review Board review.

Consent for publication: Not applicable.

Availability of data and materials: The datasets analyzed in this study are available in the Center for Disease Control and Prevention repository; http://www.cdc.gov/nchs/nhanes/.

Competing interests: SA as Principal of NutriScience LLC performs nutrition science consulting for various food and beverage companies and related entities. VLF as Senior Vice President of Nutrition Impact, LLC performs consulting and database analyses for various food and beverage companies and related entities.

Funding: Alliance for Potato Research & Education (APRE).

Authors’ contributions: The authors’ responsibilities were as follows – SA: project conception, designed research, developed overall research plan, interpretation of the data, prepared the first draft of the manuscript, and revised manuscript; VLF: project conception, designed research, developed overall research plan, NHANES database analysis and statistical analysis, interpretation of the data, and revised the manuscript. All authors read and approved the final version of the manuscript.

Acknowledgements: The study and the writing of the manuscript were supported by Alliance for Potato Research & Education (APRE).

Author details: 1NutriScience LLC, East Norriton, PA 19403, USA. 2Nutrition Impact, LLC, Battle Creek, MI 49014, USA.

References

  1. Zaheer K, Akhtar MH. Potato production, usage, and nutrition – a review. Crit Rev Food Sci Nutr. 2016;56(5):711–21.
  2. Beals KA. Potato nutrition and health. Am J Potato Res. 2019;96:102–10.
  3. Potato Nutrition, Handbook. 2015. Available online: https://www.usapotatoes.com/uploads/file-downloads/files/potato-nutrition-handbook-2015.pdf (Accessed on 20 April 2021).
  4. Camire ME, Kubow S, Donnelly DJ. Potatoes and human health. Crit Rev Food Sci Nutr. 2009;49(10):823–40.
  5. Drewnowski A. New metrics of affordable nutrition: Which vegetables provide the most nutrients for least cost. J Acad Nutr Diet. 2013;113:1182–7.
  6. USDA. Choose My Plate. Available online https://www.choosemyplate.gov (accessed on 20 April 2021).
  7. WHO. Diet, nutrition and the prevention of chronic diseases. 2003. WHO Tech Rep Ser 916 pp 1-149, WHO Geneva.
  8. NHS. The Eat Well Guide. Available online https://www.nhs.uk/live-well/eat-well/the-eatwell-guide/ (accessed on 20 April 2021).
  9. Kim SA, Moore LV, Galuska D, Wright AP, Harris D, Grummer-Strawn LM, Merlo CL, Nihiser AJ, Rhodes DG. Vital Signs: Fruit and vegetable intake among children — United States, 2003–2010. MMWR. 2014;63(31):671–6.
  10. What We Eat in. America. NHANES 2009–2010, individuals 2 years and over (excluding breast-fed children), day 1 dietary intake data, weighted. FPED 2009–2010. Available online https://www.ars.usda.gov/ARSUserFiles/80400530/pdf/fped/Table_1_FPED_GEN_0910.pdf (accessed on 20 April 2021).
  11. Anderson GH, Soeandy CD, Smith CE. White vegetables: glycemia and satiety. Adv Nutr. 2013;4(3):356S–367S.
  12. Muraki I, Rimm EB, Willett WC, Manson JE, Hu FB, Sun Q. Potato consumption and risk of type 2 diabetes: results from three prospective cohort studies. Diabetes Care. 2016;39(3):376–84.
  13. Borgi L, Rimm EB, Willett WC, Forman JP. Potato intake and incidence of hypertension: results from three prospective US cohort studies. BMJ. 2016;353:i2351. http://dx.doi.org/10.1136/bmj.i2351.
  14. Borch D, Juul-Hindsgaul N, Veller M, Astrup A, Jaskolowski J, Raben A. Potatoes and risk of obesity, type 2 diabetes, and cardiovascular disease in apparently healthy adults: a systematic review of clinical intervention and observational studies. Am J Clin Nutr. 2016;104:489–98.
  15. Mazidi M, Katsiki N, Mikhailidis DP, Pella D, Banach M. Potato consumption is associated with total and cause-specific mortality: a population-based cohort study and pooling of prospective studies with 98,569 participants. Arch Med Sci. 2020;16(2):260–72.
  16. Oslo LEW, Fernandes MM. Relationship of white potato to other vegetable consumption by schoolchildren and adolescents in the USA: National Health and Nutrition Examination Survey, 2003–2008. Public Health Nutr. 2013;16(11):1933–6.
  17. Freedman MR, Keast DR. White potatoes, including french fries, contribute shortfall nutrients to children's and adolescents' diets. Nutr Res. 2011;31(4):270–7.
  18. Nicklas TA, Liu Y, Islam N, O'Neil CE. Removing potatoes from children's diets may compromise potassium intake. Adv Nutr. 2016;7(1):247S–253S.
  19. Institute of Medicine. School Meals: Building Blocks for Healthy Children. Washington, DC: The National Academies Press; 2010.
  20. Food and Nutrition Service (FNS). USDA. Nutrition standards in the National School Lunch and School Breakfast Programs. Final rule. Fed Register. 2012;77:4088–167.
  21. Healthy H-F Kids Act of 2010. Pub. L. No. 111–296, 124 Stat. 3183, 2010.
  22. Institute of Medicine. WIC Food Packages: Time for a Change. Washington, DC: National Academies Press; 2006.
  23. McGuire S. Institute of Medicine. Review of WIC food packages: an evaluation of white potatoes in the cash value voucher: letter report. Washington (DC): The National Academies Press, 2015. Adv Nutr. 2015;6(6):863–864.
  24. Yiannakou I, Yuan M, Pickering RT, Singer MR, Moore LL. Potato consumption is not associated with elevated cardiometabolic risk in adolescent girls (unpublished data).
  25. Centers for Disease Control and Prevention (CDC), National Center for Health Statistics. National Health and Nutrition Examination Survey. Hyattsville, MD: National Center for Health Statistics. Available online: https://www.cdc.gov/nchs/nhanes/index.htm. (accessed on 11 December 2020).
  26. Krebs-Smith SM, Pannucci TE, Subar AF, Kirkpatrick SI, Lerman JL, Tooze JA, Wilson MM, Reedy J. Update of the Healthy Eating Index: HEI-2015. J Acad Nutr Diet. 2018;118:1591–602.
  27. U.S. Department of Health and Human Services and U.S. Department of Agriculture. 2015–2020 Dietary Guidelines for Americans. 8th Edition. December 2015. Available online: http://health.gov/dietaryguidelines/2015/guidelines/.
  28. Haytowitz DB, Ahuja JKC, Wu X, Somanchi M, Nickle M, Nguyen QA, Roseland JM, Williams JR, Patterson KY, Li Y, Pehrsson PR. USDA National Nutrient Database for Standard Reference, Legacy Release. Nutrient Data Laboratory, Beltsville Human Nutrition Research Center, ARS, USDA. Available online: https://data.nal.usda.gov/dataset/usda-national‐nutrient‐database‐standard‐reference‐legacy‐release (accessed on 11 December 2020).
  29. USDA/ARS. Food USDA. and Nutrient Database for Dietary Studies. Food Surveys Research Group Home Page, Available online: http://www.ars.usda.gov/nea/bhnrc/fsrg (accessed on 11 December 2020).
  30. Tooze JA, Kipnis V, Buckman DW, Carroll RJ, Freedman LS, Guenther PM, Krebs-Smith SM, Subar AF, Dodd KW. A mixed-effects model approach for estimating the distribution of usual intake of nutrients: The NCI method. Stat Med. 2010;29:2857–68.
  31. 2020 Dietary Guidelines Advisory Committee and Food Pattern Modeling Team. Added Sugars: Food Pattern Modeling: Ages 2 Years and Older. 2020 Dietary Guidelines Advisory Committee Project. Washington, D.C: U.S. Department of Agriculture; Published 2020.
  32. Palazoglu TK, Savran D, Gökmen V. Effect of cooking method (baking compared with frying) on acrylamide level of potato chips. J Food Sci. 2010;75(1):E25–9.
  33. Foot RJ, Haase NU, Grob K, Gonde P. Acrylamide in fried and roasted potato products: a review on progress in mitigation. Food Addit Contam. 2007;24(S1):37–46.
  34. Soh NL, Brand-Miller J. The glycaemic index of potatoes: the effect of variety, cooking method and maturity. Eur J Clin Nutr. 1999;53(4):249–54.
  35. Leeman M, Ostman E, Björck I. Glycaemic and satiating properties of potato products. Eur J Clin Nutr. 2008;62(1):87–95.
  36. Raatz SK, Idso L, Johnson LK, Jackson MI, Combs GF Jr. Resistant starch analysis of commonly consumed potatoes: content varies by cooking method and service temperature but not by variety. Food Chem. 2016;208:297–300.
  37. Yang Y, Achaerandio I, Pujola M. Effect of the intensity of cooking methods on the nutritional and physical properties of potato tubers. Food Chem. 2016;197 Pt B:1301–1310.
  38. Virk-Baker MK, Nagy TR, Barnes S, Groopman J. Dietary acrylamide and human cancer: a systematic review of literature. Nutr Cancer. 2014;66(5):774–90.
  39. U.S. Department of Agriculture and U.S. Department of Health and Human Services. Dietary Guidelines for Americans, 2020–2025. 9th Edition. December 2020. Available online: https://DietaryGuidelines.gov.
  40. Reedy J, Krebs-Smith SM, Bosire C. Evaluating the food environment: application of the Healthy Eating Index-2005. Am J Prev Med. 2010;38:465–71.
  41. Hiza HA, Casavale KO, Guenther PM, Davis CA. Diet quality of Americans differs by age, sex, race/ethnicity, income, and education level. J Acad Nutr Diet. 2013;113:297–306.
  42. Juan WY, Guenther PM, Kott PS. Diet quality of older Americans in 1994–96 and 2001–02 as measured by the Healthy Eating Index-2005. In: Nutrition Insight 41. Alexandria: United States Department of Agriculture Center for Nutrition Policy and Promotion; 2008.
  43. Fulgoni VL, Keast DR, Drewnowski A. Development and validation of the Nutrient-rich Foods Index: a tool to measure nutritional quality of foods. J Nutr. 2009;139:1549–54.
  44. Nicklas TA, O'Neil CE, Fulgoni VL. Diet quality is inversely related to cardiovascular risk factors in adults. J Nutr. 2012;142:2112–8.
  45. Chiuve SE, Fung TT, Rimm EB, Hu FB, McCullough ML, Wang M, Stampfer MJ, Willett WC. Alternative dietary indices both strongly predict risk of chronic disease. J Nutr. 2012;142(6):1009–18.
  46. Reedy J, Mitrou PN, Krebs-Smith SM, Wirfält E, Flood A, Kipnis V, Leitzmann M, Mouw T, Hollenbeck A, Schatzkin A, Subar AF. Index-based dietary patterns and risk of colorectal cancer: the NIH-AARP Diet and Health Study. Am J Epidemiol. 2008;168:38–48.
  47. O'Neil CE, Nicklas TA, Rampersaud GC, Fulgoni VL. One hundred percent orange juice consumption is associated with better diet quality, improved nutrient adequacy, and no increased risk for overweight/obesity in children. Nutr Res. 2011;31:673–82.
  48. Gibson S, Kurilich AC. The nutritional value of potatoes and potato products in the UK diet. Nutr Bull. 2013;38:389–99.