Advertisement
Original Article| Volume 47, P85-95, February 2023

Download started.

Ok

Assessment of diet quality after operative fixation of acute fractures

Open AccessPublished:December 16, 2022DOI:https://doi.org/10.1016/j.nutos.2022.12.006

      Summary

      Background

      Nutrition supplementation has potential to improve clinical outcomes of musculoskeletal trauma. An improved understanding of common nutrition deficiencies present during the healing phase after trauma is needed to choose the appropriate composition of nutrition supplementation. Our objective is to document dietary deficiencies after operative fixation of acute fractures in young adults.

      Methods

      A prospective observational study enrolled young adults (age 18–55 years) indicated for operative fixation of a pelvic or extremity fracture. Postoperative dietary intake was measured using the Automated Self-Administered 24-h dietary recall (ASA24®). Inadequate dietary intake was determined using Dietary Reference Intake (DRI) values and the Healthy Eating Index 2015 (HEI-2015) score.

      Results

      Thirty-two subjects completed 122 ASA24® surveys in the 4 weeks after operative fixation. Dietary intake overall was severely inadequate in the early post-operative period; 81% did not meet calorie needs and protein intake was inadequate in 41%. All subjects did not meet DRIs for fiber, vitamin E, or potassium. More than 50% did not meet DRI for magnesium, zinc, folate, vitamins C, A, K, or D. The mean HEI-2015 score was 44.0 (±11.4 SD) across all time points.

      Conclusions

      In a population of previously healthy, young adults indicated for operative fracture fixation, dietary quality was poor even compared to the average for the US population (44.0 vs 58.7 HEI-2015). This data provides targets for future clinical investigations of nutrition interventions to improve outcomes in young adults with significant musculoskeletal trauma.

      Keywords

      Introduction

      Recent investigation in musculoskeletal trauma has been dedicated to defining the impact of malnutrition and nutrition supplementation on clinical outcomes. Much of this previous work has focused on the geriatric fracture population, with little to no investigation in young adults.
      Sarcopenia (loss of muscle mass that occurs typically with malnutrition, advanced age, and chronic disease) [
      • Santilli V.
      • Bernetti A.
      • Mangone M.
      • Paoloni M.
      Clinical definition of sarcopenia.
      ,
      • Dam T.T.
      • Peters K.W.
      • Fragala M.
      • Cawthon P.M.
      • Harris T.B.
      • McLean R.
      • et al.
      An evidence-based comparison of operational criteria for the presence of sarcopenia.
      ,
      • McLean R.R.
      • Shardell M.D.
      • Alley D.E.
      • Cawthon P.M.
      • Fragala M.S.
      • Harris T.B.
      • et al.
      Criteria for clinically relevant weakness and low lean mass and their longitudinal association with incident mobility impairment and mortality: the Foundation for the National Institutes of Health (FNIH) sarcopenia project.
      ,
      • Englesbe M.J.
      • Patel S.P.
      • He K.
      • Lynch R.J.
      • Schaubel D.E.
      • Harbaugh C.
      • et al.
      Sarcopenia and mortality after liver transplantation.
      ,
      • Deren M.E.
      • Babu J.
      • Cohen E.M.
      • Machan J.
      • Born C.T.
      • Hayda R.
      Increased mortality in elderly patients with sarcopenia and acetabular fractures.
      ,
      • Du Y.
      • Karvellas C.J.
      • Baracos V.
      • Williams D.C.
      • Khadaroo R.G.
      Acute Care, Emergency Surgery (ACES) Group
      Sarcopenia is a predictor of outcomes in very elderly patients undergoing emergency surgery.
      ,
      • Izumi T.
      • Watanabe J.
      • Tohyama T.
      • Takada Y.
      Impact of psoas muscle index on short-term outcome after living donor liver transplantation.
      ,
      • Nakashima Y.
      • Saeki H.
      • Nakanishi R.
      • Sugiyama M.
      • Kurashige J.
      • Oki E.
      • et al.
      Assessment of sarcopenia as a predictor of poor outcomes after esophagectomy in elderly patients with esophageal cancer.
      ,
      • Joglekar S.
      • Nau P.N.
      • Mezhir J.J.
      The impact of sarcopenia on survival and complications in surgical oncology: a review of the current literature.
      ,
      • DeAndrade J.
      • Pedersen M.
      • Garcia L.
      • Nau P.
      Sarcopenia is a risk factor for complications and an independent predictor of hospital length of stay in trauma patients.
      ] is a marker for malnutrition and a predictor of poor clinical outcomes after pelvis and hip fractures [
      • Deren M.E.
      • Babu J.
      • Cohen E.M.
      • Machan J.
      • Born C.T.
      • Hayda R.
      Increased mortality in elderly patients with sarcopenia and acetabular fractures.
      ,
      • Gonzalez-Montalvo J.I.
      • Alarcon T.
      • Gotor P.
      • Queipo R.
      • Velasco R.
      • Hoyos R.
      • et al.
      Prevalence of sarcopenia in acute hip fracture patients and its influence on short-term clinical outcome.
      ,
      • Steihaug O.M.
      • Gjesdal C.G.
      • Bogen B.
      • Kristoffersen M.H.
      • Lien G.
      • Ranhoff A.H.
      Sarcopenia in patients with hip fracture: a multicenter cross-sectional study.
      ,
      • Mitchell P.M.
      • Collinge C.A.
      • O'Neill D.E.
      • Bible J.E.
      • Mir H.R.
      Sarcopenia is predictive of 1-year mortality after acetabular fractures in elderly patients.
      ,
      • Yoo T.
      • Lo W.D.
      • Evans D.C.
      Computed tomography measured psoas density predicts outcomes in trauma.
      ,
      • McLean R.R.
      • Shardell M.D.
      • Alley D.E.
      • Cawthon P.M.
      • Fragala M.S.
      • Harris T.B.
      • et al.
      Criteria for clinically relevant weakness and low lean mass and their longitudinal association with incident mobility impairment and mortality: the foundation for the National Institutes of Health (FNIH) sarcopenia project.
      ,
      • Landi F.
      • Calvani R.
      • Ortolani E.
      • Salini S.
      • Martone A.M.
      • Santoro L.
      • et al.
      The association between sarcopenia and functional outcomes among older patients with hip fracture undergoing in-hospital rehabilitation.
      ,
      • Landi F.
      • Liperoti R.
      • Russo A.
      • Giovannini S.
      • Tosato M.
      • Capoluongo E.
      • et al.
      Sarcopenia as a risk factor for falls in elderly individuals: results from the ilSIRENTE study.
      ]. Randomized clinical trials report positive impacts of nutrition interventions in the geriatric fracture population [
      • Avenell A.
      • Smith T.O.
      • Curtain J.P.
      • Mak J.C.
      • Myint P.K.
      Nutritional supplementation for hip fracture aftercare in older people.
      ,
      • Eneroth M.
      • Olsson U.B.
      • Thorngren K.G.
      Nutritional supplementation decreases hip fracture-related complications.
      ,
      • Ekinci O.
      • Yanik S.
      • Terzioglu Bebitoglu B.
      • Yilmaz Akyuz E.
      • Dokuyucu A.
      • Erdem S.
      Effect of Calcium beta-Hydroxy-beta-Methylbutyrate (CaHMB), vitamin D, and protein supplementation on postoperative immobilization in malnourished older adult patients with hip fracture: a randomized controlled study.
      ,
      • Niitsu M.
      • Ichinose D.
      • Hirooka T.
      • Mitsutomi K.
      • Morimoto Y.
      • Sarukawa J.
      • et al.
      Effects of combination of whey protein intake and rehabilitation on muscle strength and daily movements in patients with hip fracture in the early postoperative period.
      ,
      • Duncan D.G.
      • Beck S.J.
      • Hood K.
      • Johansen A.
      Using dietetic assistants to improve the outcome of hip fracture: a randomised controlled trial of nutritional support in an acute trauma ward.
      ], but there is significant variability in the composition of the dietary supplement used in each of these investigations. Protein, amino acids, vitamin D, and mixed nutrition supplements have been trialed in the geriatric fracture population with variable effectiveness.
      Our group is specifically interested in nutrition interventions to reduce the loss of functional muscle mass and injury related complications after high-energy trauma in young adults. As we design clinical trials to investigate the impact of a nutrition supplementation intervention on clinically relevant outcomes, it became apparent we do not have a good understanding of the nutrition deficiencies present during the healing phase after severe musculoskeletal trauma. A thorough understanding of these inadequacies will allow us to design evidence-based interventions targeting specific needs for supplementation in this population. The objective of this investigation was to thoroughly document the prevalence of specific nutrient deficiencies that exist after surgical fixation of acute fracture in young adults with validated 24-h dietary recalls using Dietary Reference Intake (DRI) values reported by the Institute of Medicine and the Healthy Eating Index 2015 (HEI-2015) described by the United States Department of Agriculture (USDA) [
      • Krebs-Smith S.M.
      • Pannucci T.E.
      • Subar A.F.
      • Kirkpatrick S.I.
      • Lerman J.L.
      • Tooze J.A.
      • et al.
      Update of the Healthy Eating Index: HEI-2015.
      ,
      Calcium IoMUCtRDRIfVDa
      Dietary reference intakes for calcium and vitamin D.
      ].

      Methods

      Subjects

      Adults, aged 18–55 years, presenting to a single Level 1 trauma center between June and November 2019 with acute extremity or pelvis fractures indicated for operative fixation were eligible were for the study. Subjects were excluded if they were incarcerated, pregnant, not placed on an oral diet immediately postoperatively, sustained injuries which prevented accurate completion of 24-h diet recalls (i.e. head injuries), or if they did not have access to a smartphone or computer with internet access after discharge from the hospital. Fifty-four subjects consented to the study. Our institutional review board approved this investigation. All subjects provided written informed consent before enrollment.

      Diet assessment

      Dietary intake was measured using the Automated Self-Administered 24-h dietary recall (ASA24®), 2018 version, developed by the National Cancer Institute. The ASA24® is an automated, web-based tool that enables self-administered 24-h dietary recalls [
      • Subar A.F.
      • Kirkpatrick S.I.
      • Mittl B.
      • Zimmerman T.P.
      • Thompson F.E.
      • Bingley C.
      • et al.
      The automated self-administered 24-hour dietary recall (ASA24): a resource for researchers, clinicians, and educators from the National Cancer Institute.
      ,

      Automated self-administered 24-hour (ASA24®) dietary assessment tool. National Cancer Institute. https://epi.grants.cancer.gov/asa24/; [accessed June, 2019].

      ]. Through a series of promoted steps, participants list all the foods, beverages, and dietary supplements consumed in the past 24 h, defined as midnight to midnight the previous day. Participants then answer detailed questions about the foods and beverages reported, including food type, preparation, additions. For each 24-h diet recall, the ASA24® software generates total intake values for macronutrients, micronutrients, and food groups. Details of the automated system have been described previously [
      • Subar A.F.
      • Kirkpatrick S.I.
      • Mittl B.
      • Zimmerman T.P.
      • Thompson F.E.
      • Bingley C.
      • et al.
      The automated self-administered 24-hour dietary recall (ASA24): a resource for researchers, clinicians, and educators from the National Cancer Institute.
      ]. Previous studies have validated the ASA24® as a dietary assessment tool, demonstrating its ability to provide accurate estimates of dietary intake when compared to true consumption, recovery biomarkers, as well as interviewer-administered 24-h recalls [
      • Kirkpatrick S.I.
      • Subar A.F.
      • Douglass D.
      • Zimmerman T.P.
      • Thompson F.E.
      • Kahle L.L.
      • et al.
      Performance of the automated self-administered 24-hour recall relative to a measure of true intakes and to an interviewer-administered 24-h recall.
      ,
      • Park Y.
      • Dodd K.W.
      • Kipnis V.
      • Thompson F.E.
      • Potischman N.
      • Schoeller D.A.
      • et al.
      Comparison of self-reported dietary intakes from the automated self-administered 24-h recall, 4-d food records, and food-frequency questionnaires against recovery biomarkers.
      ].
      Participants were asked to complete a total of 9 ASA24® recalls. The goal of the assessments was to obtain an estimate of normal intake in the month following surgical fixation by averaging intake from postoperative weeks 1, 2, and 4. The diet recalls were scheduled for nonconsecutive days and included 2 weekdays and 1 weekend day each week, consistent with best practices in diet recall methodology [
      • Ahluwalia N.
      • Dwyer J.
      • Terry A.
      • Moshfegh A.
      • Johnson C.
      Update on NHANES dietary data: Focus on collection, release, analytical considerations, and uses to inform public policy.
      ]. During hospital admission, the subjects were enrolled and oriented to the ASA24® website (https://asa24.nci.nih.gov/). While admitted to the hospital, participants were provided with an iPad® to complete ASA24® recalls. Following discharge, prompts to complete recalls were sent via email. A reminder email and phone call were sent if a requested recall was not completed within 24 h. All completed recalls received within 32 days of surgical fixation were included.

      Dietary guidelines

      Macro- and micronutrient intake were evaluated using Dietary Reference Intakes (DRIs).24 DRIs refer to a set of reference values reported by the Food and Nutrition Board, Institute of Medicine of the National Academies, which provide quantitative estimates of nutrient intakes for planning and assessing diets for healthy people [
      • Murphy S.P.
      • Poos M.I.
      Dietary reference intakes: summary of applications in dietary assessment.
      ]. Each nutrient has either an Estimated Average Requirement (EAR) and a Recommended Dietary Allowance (RDA), or an Adequate Intake (AI). Estimated Average Requirement (EAR) is defined as an average daily nutrient intake level estimated to meet the requirement of half the healthy individuals in a particular biological sex and age group [
      Intakes IoMUSoIaUoDR, Intakes IoMUSCotSEoDR
      DRI dietary reference intakes: applications in dietary assessment.
      ]. Recommended Dietary Allowance (RDA) is defined as two standard deviations above the EAR, resulting in a nutrient intake value that exceeds requirements for nearly all (97–98%) individuals in a particular biological sex and age group [
      Intakes IoMUSoIaUoDR, Intakes IoMUSCotSEoDR
      DRI dietary reference intakes: applications in dietary assessment.
      ]. Adequate Intake (AI) is defined as a recommended average daily nutrient intake level based on observed or experimentally determined approximations of nutrient intake by a group, or groups, of apparently healthy people that are assumed to be adequate – used when an EAR cannot be determined [
      Intakes IoMUSoIaUoDR, Intakes IoMUSCotSEoDR
      DRI dietary reference intakes: applications in dietary assessment.
      ]. In diet assessment methodology, the proportion of individuals with intakes below the EAR represent the prevalence of inadequate intake for that nutrient [
      Calcium IoMUCtRDRIfVDa
      Dietary reference intakes for calcium and vitamin D.
      ,
      • Murphy S.P.
      • Poos M.I.
      Dietary reference intakes: summary of applications in dietary assessment.
      ]. In contrast, individuals with usual intakes of a nutrient that are above the RDA are assumed to have adequate intake [
      Calcium IoMUCtRDRIfVDa
      Dietary reference intakes for calcium and vitamin D.
      ,
      • Murphy S.P.
      • Poos M.I.
      Dietary reference intakes: summary of applications in dietary assessment.
      ]. With regard to protein, well-accepted guidelines recommend a higher intake of protein for critically ill individuals, including the postoperative trauma patient population [
      • McClave S.A.
      • Taylor B.E.
      • Martindale R.G.
      • Warren M.M.
      • Johnson D.R.
      • Braunschweig C.
      • et al.
      Guidelines for the provision and assessment of nutrition support therapy in the adult critically Ill patient: Society of Critical Care Medicine (SCCM) and American Society for Parenteral and Enteral Nutrition (A.S.P.E.N.).
      ,
      • Ferrie S.
      • Allman-Farinelli M.
      • Daley M.
      • Smith K.
      Protein requirements in the critically Ill: a randomized controlled trial using parenteral nutrition.
      ]. In accordance with current clinical practice guidelines for postoperative trauma patients, a weight-based equation of 1.2 g protein per kg body weight was also used to assess protein intake [
      • Ferrie S.
      • Allman-Farinelli M.
      • Daley M.
      • Smith K.
      Protein requirements in the critically Ill: a randomized controlled trial using parenteral nutrition.
      ].
      Overall diet quality was assessed using the Healthy Eating Index 2015 (HEI-2015). The HEI-2015 measures adherence to the 2015–2020 Dietary Guidelines for Americans [
      Nutrition and Your Health
      2015–2020 dietary guidelines for Americans.
      ]. It is a validated measure of diet quality, evaluating food groups based on densities (i.e. amounts per 1000 kcal consumed) rather than absolute intakes [
      • Krebs-Smith S.M.
      • Pannucci T.E.
      • Subar A.F.
      • Kirkpatrick S.I.
      • Lerman J.L.
      • Tooze J.A.
      • et al.
      Update of the Healthy Eating Index: HEI-2015.
      ,
      • Guenther P.M.
      • Kirkpatrick S.I.
      • Reedy J.
      • Krebs-Smith S.M.
      • Buckman D.W.
      • Dodd K.W.
      • et al.
      The Healthy Eating Index-2010 is a valid and reliable measure of diet quality according to the 2010 dietary guidelines for Americans.
      ]. The HEI-2015 is a sum of 13 component scores and ranges from 0 to 100. The component scores are based on 9 adequacy food groups (foods recommended to eat more of) and 4 moderation food groups (foods recommended to limit), with scores ranging from 0 to 5 or 0 to 10 depending on the component [
      • Krebs-Smith S.M.
      • Pannucci T.E.
      • Subar A.F.
      • Kirkpatrick S.I.
      • Lerman J.L.
      • Tooze J.A.
      • et al.
      Update of the Healthy Eating Index: HEI-2015.
      ]. A higher score indicates a diet that better aligns with dietary recommendations. Therefore, a high adequacy component score reflects high consumption because these foods are encouraged, but a high moderation component score reflects low consumption because lower intakes of these foods are more desirable [
      • Krebs-Smith S.M.
      • Pannucci T.E.
      • Subar A.F.
      • Kirkpatrick S.I.
      • Lerman J.L.
      • Tooze J.A.
      • et al.
      Update of the Healthy Eating Index: HEI-2015.
      ,
      • McGee M.
      • Unger S.
      • Hamilton J.
      • Birken C.S.
      • Pausova Z.
      • Kiss A.
      • et al.
      Associations between diet quality and body composition in young children born with very low body weight.
      ]. Guidelines for food group consumption were drawn from the US-Style Healthy Eating Pattern, as reported by the USDA's 2015–2020 Dietary Guidelines for Americans [
      Nutrition and Your Health
      2015–2020 dietary guidelines for Americans.
      ].

      Statistical analysis

      Descriptive characteristics of study subjects and their injuries were reported as summary statistics. Macronutrients, vitamins, and minerals were analyzed as absolute intakes, while food groups were analyzed as cup and ounce equivalents. To estimate each subject's usual daily intake in the month following surgical fixation, intake data from all recalls completed by the subject were averaged to calculate a mean observed intake. Subjects' mean observed intake for each nutrient and food group was then summarized using categorical divisions of success versus failure to achieve dietary guidelines for a subject's particular biological sex and age group [
      Calcium IoMUCtRDRIfVDa
      Dietary reference intakes for calcium and vitamin D.
      ,
      • Ferrie S.
      • Allman-Farinelli M.
      • Daley M.
      • Smith K.
      Protein requirements in the critically Ill: a randomized controlled trial using parenteral nutrition.
      ,
      Nutrition and Your Health
      2015–2020 dietary guidelines for Americans.
      ]. Finally, the proportion of individuals with inadequate nutrient intake was assessed using the EAR cut-point method [
      • Murphy S.P.
      • Poos M.I.
      Dietary reference intakes: summary of applications in dietary assessment.
      ,
      Intakes IoMUSoIaUoDR, Intakes IoMUSCotSEoDR
      DRI dietary reference intakes: applications in dietary assessment.
      ]. Resting energy expenditure for each subject was predicted using the Harris–Benedict Equation [
      • Boullata J.
      • Williams J.
      • Cottrell F.
      • Hudson L.
      • Compher C.
      Accurate determination of energy needs in hospitalized patients.
      ]. Using data from the ASA24®, HEI-2015 overall and component scores were calculated for each subject. Linear mixed model analysis was used to determine the effect of time on caloric intake and HEI-2015 score. Analyses were completed using SAS statistical software version 9.4 (SAS Institute Inc., Cary, NC) and Microsoft Excel 2016 (Microsoft Corporation, Redmond, WA) [

      Usual Dietary Intakes: SAS macros for the NCI method. National Cancer Institute. https://epi.grants.cancer.gov/diet/usualintakes/macros.html; [accessed 2019].

      ].

      Results

      Thirty-two of the 54 subjects enrolled completed at least one dietary recall. Demographics and injury characteristics are summarized in Table 1. The subjects were typically young and healthy with isolated extremity trauma. Lower extremity trauma was more common than upper extremity. Subjects typically underwent definitive surgical fixation in a single operative setting, but 11 subjects underwent staged definitive fixation of injuries.
      Table 1Demographics and injury characteristics of adults, aged 18–55 years, indicated for operative fixation of acute extremity or pelvis fractures (n = 32). Data are presented as % (n) for qualitative variables, and mean ± SD or median (min–max) for quantitative variables
      Variable
      Age (years)36.7 ± 12.1
      Biological sexFemale53.1 (17)
      Male46.9 (15)
      RaceWhite87.5 (28)
      Black/African American3.1 (1)
      Asian3.1 (1)
      Other6.3 (2)
      EthnicityHispanic6.3 (2)
      Non-Hispanic93.8 (30)
      Body mass index (kg/m2)29.5 ± 8.0
      Primary payerPrivate56.3 (18)
      Medicaid37.5 (12)
      Other6.3 (2)
      Charlson Comorbidity Index071.9 (23)
      121.9 (7)
      26.3 (2)
      Discharge locationHome78.1 (25)
      Acute Rehab18.8 (6)
      SNF3.1 (1)
      Length of hospital stay (days)3.5 (1–39)
      Fracture locationLower ext.84.4 (27)
      Upper ext.9.4 (3)
      Lower + upper ext.6.3 (2)
      Open injuryNo59.4 (19)
      Yes40.6 (13)
      PolytraumaNo59.4 (19)
      Yes40.6 (13)
      Surgeries (#)165.6 (21)
      221.9 (7)
      ≥312.5 (4)

      Macronutrient and micronutrient intake

      Thirty-two subjects completed a total of 122 ASA24® dietary recalls. There was variability in the number of days completed across participants (≥9 days n = 4; 7 days n = 1; 6 days n = 1; 5 days n = 4; 4 days n = 4; 3 days n = 3; 2 days n = 9; 1 day n = 6). Ninety of 122 surveys were completed between days 0–14 postoperatively.
      Daily caloric intake among subjects averaged 1624.8 ± 664.8 kcal with a range of 453–3134 kcal. Nineteen subjects (59.4%) reported a mean daily caloric intake below their predicted resting energy expenditure. Results from the linear mixed model showed that time had no significant effect on caloric intake postoperatively (p = 0.94).
      The mean intake of macronutrients and the proportion of subjects with average intakes below the EAR are presented in Table 2. All subjects (n = 32) reported inadequate intakes for fiber. Thirteen subjects reported inadequate intake of protein, based on recommendations for healthy individuals (EAR). When protein intake was compared to the predicted needs for the postoperative trauma patient population, most subjects in this study (n = 24) reported intakes below this recommendation. Table 3 summarizes the mean intake of micronutrients and the proportion of subjects with average intakes below the EAR. Intake of vitamin E was inadequate among all subjects (n = 32). Greater than 50% of subjects reported inadequate intakes for magnesium (n = 26), zinc (n = 16), folate (n = 20), as well as vitamins C (n = 22), A (n = 24), and D (n = 27). More than half of subjects reported intakes above the RDA for selenium (n = 28), niacin (n = 19), as well as vitamins B-6 (n = 17) and B-12 (n = 29).
      Table 2Macronutrient intake and comparison with Dietary Reference Intakes of young adults (n = 32) in the four weeks after acute extremity or pelvis fracture fixation.
      NutrientEARMeanSDMin–maxBelow EAR

      % (n)
      Carbohydrate (g)100181.5±88.834.2–450.712.5 (4)
      Protein (g/kg)0.660.86±0.40.2–2.140.6 (13)
      Fat (g)66.4±31.017.5–138.4
      Fiber (g)100.0 (32)
       Males389.54.94.1–22.0
       Females2510.25.62.4–21.2
      EAR = Estimated Average Requirement based on Institute of Medicine's recommendations.
      SD = standard deviation.
      Table 3Micronutrient intake and comparison with Dietary Reference Intakes of young adults with acute extremity or pelvis fracture indicated for operative fixation (n = 32) in the four weeks after surgery.
      NutrientEARRDAMeanSDMin–maxBelow EAR % (n)Above RDA % (n)
      Calcium (mg)8001000868.1±390.5133.8–1973.446.9 (15)25.0 (8)
      Magnesium (mg)81.3 (26)6.3 (2)
       Males330400216.7±57.8133.0–335.4
       Females255310207.6±103.858.2–407.3
      Sodium (mg)1500
      AI, adequate intake, is reported when EAR is not yet determined by the Institute of Medicine.
      2898.0±1049.8866.3–5197.9
      Zinc (mg)50.0 (16)40.6 (13)
       Males9.41110.5±4.05.1–18.3
       Females6.888.2±3.61.8–16.1
      Copper (mg)0.70.90.9±0.40.2–1.640.6 (13)40.6 (13)
      Selenium (μg)455592.8±38.524.4–187.19.4 (3)87.5 (28)
      Thiamine (mg)25.0 (8)40.6 (13)
       Males1.01.21.3±0.60.5–2.5
       Females0.91.11.3±0.60.2–2.6
      Riboflavin (mg)9.4 (3)21.9 (7)
       Males1.11.31.9±0.71.1–3.4
       Females0.91.11.6±0.80.3–3.1
      Niacin (mg)15.6 (5)59.4 (19)
       Males121618.7±9.15.6–35.1
       Females111418.5±8.06.1–38.6
      Vitamin B-6 (mg)1.11.31.6±0.70.5–3.121.9 (7)53.1 (17)
      Folate (μg)320400280.2±133.852.1–591.762.5 (20)18.8 (6)
      Vitamin B-12 (μg)22.45.6±4.21.4–21.43.1 (1)90.6 (29)
      Vitamin C (mg)68.8 (22)21.9 (7)
       Males759089.1±90.12.3–297.6
       Females607570.7±106.65.0–420.4
      Vitamin A (μg)75.0 (24)15.6 (5)
       Males625900588.4±286.2216.0–1206.9
       Females500700392.5±248.298.6–995.0
      Vitamin E (mg)12155.3±2.61.2–11.0100.0 (32)0.0 (0)
      Vitamin D (μg)10155.9±6.40.0–24.184.4 (27)12.5 (4)
      Phosphorus (mg)5807001234.3±448.3322.0–2237.16.3 (2)87.5 (28)
      Potassium (mg)4700
      AI, adequate intake, is reported when EAR is not yet determined by the Institute of Medicine.
      2114.4±759.0622.6–3871.3
      Vitamin K (μg)
       Males120
      AI, adequate intake, is reported when EAR is not yet determined by the Institute of Medicine.
      47.8±38.610.1–146.0
       Females90
      AI, adequate intake, is reported when EAR is not yet determined by the Institute of Medicine.
      87.5±105.27.3–459.9
      EAR = Estimated Average Requirement based on Institute of medicine's recommendations.
      SD = standard deviation.
      RDA = Recommended Dietary Allowance based on Institute of Medicine.
      a AI, adequate intake, is reported when EAR is not yet determined by the Institute of Medicine.

      Diet quality

      The mean intake of food groups and comparison with the Healthy US-Style Eating Pattern are presented in Table 4. Overall, subjects' diets lacked sufficient amounts of beneficial foods to meet guidelines for healthy Americans. No subjects reported meeting whole grain and vegetable guidelines, and most reported intake below guidelines for fruit (n = 29) and protein foods (n = 23). Many subjects also reported consuming excessive amounts of added sugar (n = 12) and saturated fat (n = 13). The mean total HEI-2015 score among subjects was 44.0 ± 7.54 out of a maximum score of 100, with a range of 27.5–57.6, indicating overall poor dietary quality. The intake of our sample was even less than the general U.S. population (mean HEI-2015 score of 58.7), which has been associated with poor health outcomes [

      HEI Scores for Americans. Food and nutrition service US Department of Agriculture. https://www.fns.usda.gov/hei-scores-americans; [accessed June 2019].

      ,
      • Onvani S.
      • Haghighatdoost F.
      • Surkan P.J.
      • Larijani B.
      • Azadbakht L.
      Adherence to the healthy eating index and alternative healthy eating index dietary patterns and mortality from all causes, cardiovascular disease and cancer: a meta-analysis of observational studies.
      ]. The mean HEI-2015 component scores are presented in Fig. 1. Time had a significant effect on total HEI-score postoperatively, with the score decreasing with days postoperative (Estimate ± SE: −0.228 ± 0.104, t = −2.19, p = 0.031).
      Table 4Mean food group consumption and comparison with US-Style Healthy Eating Pattern of young adults (n = 32) in the four weeks after acute extremity or pelvis fracture fixation.
      Food groupRecommended daily amount
      Recommended Daily Amount based on the 2015–2020 Dietary Guidelines for Americans' US-Healthy Eating Pattern.
      MeanSDFailure to achieve recommendation
      % (n)
      Whole grains (oz.)3.0–5.0 oz0.44±0.54100% (32)
      Vegetables2.5–3.5 cup1.05±0.65100% (32)
      Fruits1.5–2.5 cup0.91±1.1590.6% (29)
      Dairy3.0 cup2.0±1.4587.5% (28)
      Protein foods5.0–7.0 oz5.23±3.1171.9% (23)
      Saturated fats≥22–31 g24.1±15.640.6% (13)
      Added sugar≥50–70 g61.05±59.7537.5% (12)
      SD: standard deviation.
      a Recommended Daily Amount based on the 2015–2020 Dietary Guidelines for Americans' US-Healthy Eating Pattern.
      Figure 1
      Figure 1Healthy Eating Index (HEI)-2015 mean component scores in young adults (n = 32) in the four weeks after acute extremity or pelvis fracture fixation.

      Discussion

      This is the first study to evaluate postoperative dietary intake and quality in young adults (ages 18–55 years) after orthopedic trauma. In this series, diet quality in the 4 weeks after operative fracture fixation was overall insufficient. Most subjects reported intake of calories, protein, and several key micronutrients that did not meet recommendations. Diet quality based on the HEI-2015 was significantly lower than the average for the US population. These results have significant implications after orthopedic trauma because adequate nutrition is essential to supporting soft tissue healing and bone regeneration. These comparisons likely underestimate the nutrition deficiencies after trauma as wound and fracture healing increases metabolic demand. Future investigations in young adults with acute operative extremity and pelvis fractures should supplement overall calorie, protein, fiber, and multiple micronutrients rather than targeting a single macro or micronutrient to optimize outcomes.
      The typical diet of otherwise healthy young adults in the United States has significant baseline deficiencies [
      • Cole R.E.
      • Bukhari A.S.
      • Champagne C.M.
      • McGraw S.M.
      • Hatch A.M.
      • Montain S.J.
      Performance nutrition dining facility intervention improves special operations soldiers' diet quality and meal satisfaction.
      ,
      • Smith T.J.
      • Dotson L.E.
      • Young A.J.
      • et al.
      Eating patterns and leisure-time exercise among active duty military personnel: comparison to the healthy people objectives.
      ]. When patients present with acute musculoskeletal trauma, these pre-existing deficiencies may negatively impact wound and fracture healing. After injury and subsequent surgical treatment, the increased metabolic demand required for healing is likely unmet by a diet that may be negatively impacted by pain, immobility, medications, and financial limitations [
      • Jensen J.E.
      • Jensen T.G.
      • Smith T.K.
      • Johnston D.A.
      • Dudrick S.J.
      Nutrition in orthopaedic surgery.
      ,
      • Norman K.
      • Pichard C.
      • Lochs H.
      • Pirlich M.
      Prognostic impact of disease-related malnutrition.
      ]. Consistent with the idea that diet is suppressed in the four weeks after musculoskeletal trauma, the average daily energy intake in our sample (1624.8 ± 664.8 kcal) was lower than the general US population's mean intake (2155 ± 1295 kcal) [
      U.S. Department of Agriculture ARS
      Energy intakes: percentages of energy from protein, carbohydrate, fat, and alcohol, by gender and age, what we eat in America.
      ]. Additionally, HEI-2015 component scores suggest that poor diet quality in this population was attributable to a failure to consume adequate amounts of beneficial foods.
      The mean BMI was 29.1 kg/m2 (categorized as overweight) in our series. Other work found that obese individuals have a higher incidence of micronutrient inadequacy compared to normal weight individuals [
      • Agarwal Sanjiv
      • Reider Carroll
      • Brooks James R.
      • Fulgoni III, Victor L.
      Comparison of prevalence of inadequate nutrient intake based on body weight status of adults in the United States: an analysis of NHANES 2001–2008.
      ]. Unfortunately, this study was not powered to determine a difference in diet quality based on BMI, but this should be an aim of future work in musculoskeletal trauma.
      One of the most interesting findings is that caloric intake did not change postoperatively, but total HEI-2015 score actually decreased, indicating that diet quality decreased over time. This finding could be evidence of increased consumption of processed foods that are energy-dense, but nutrient-poor in the weeks following musculoskeletal trauma. Intake of nutrient-poor food is a negative predictor for the consumption of unprocessed, nutrient-dense foods. Unprocessed, nutrient-dense foods such as fruits, vegetables, whole grains, plant, and animal proteins are the primary source of vitamins and minerals in a non-supplemented diet [
      • Kant A.K.
      Reported consumption of low-nutrient-density foods by American Children and Adolescents: nutritional and health correlates, NHANES III, 1988 to 1994.
      ]. These vitamins and minerals are essential for wound healing, promoting cell proliferation and collagen synthesis [
      • Stechmiller J.K.
      Understanding the role of nutrition and wound healing.
      ]. During the critical period for wound healing evaluated in this study, none of the subjects met USDA recommendations for servings of vegetables and whole grains, and many (90.6%) did not meet USDA recommendations for fruit servings. Additionally, 75% of individuals in this sample did not meet protein requirements, which is likely the most important macronutrient for healing and maintaining lean body mass [
      • McClave S.A.
      • Taylor B.E.
      • Martindale R.G.
      • Warren M.M.
      • Johnson D.R.
      • Braunschweig C.
      • et al.
      Guidelines for the provision and assessment of nutrition support therapy in the adult critically Ill patient: Society of Critical Care Medicine (SCCM) and American Society for Parenteral and Enteral Nutrition (A.S.P.E.N.).
      ]. Results from this study demonstrate a widespread imbalance in the intake of energy and nutrients, which puts subjects at risk for developing malnutrition following surgical treatment. Malnutrition has been repeatedly associated with more complication and prolonged hospitalization, including increased risk for infections and surgical failure [
      • Jensen J.E.
      • Jensen T.G.
      • Smith T.K.
      • Johnston D.A.
      • Dudrick S.J.
      Nutrition in orthopaedic surgery.
      ,
      • Norman K.
      • Pichard C.
      • Lochs H.
      • Pirlich M.
      Prognostic impact of disease-related malnutrition.
      ]. Together, these data suggest that nutrition supplementation has significant potential to optimize healing and functional recovery after musculoskeletal trauma. We need to improve our understanding of the specific deficiencies so that targeted, evidence-based interventions can be designed.
      Previous reports of diet quality focused on the geriatric population. Enroth et al. conducted a randomized controlled trial investigating the impact of combined oral and parenteral nutrition supplementation in a geriatric hip fracture population. The dietary intake energy (kcal) content was recorded in the supplement and control groups [
      • Eneroth M.
      • Olsson U.B.
      • Thorngren K.G.
      Nutritional supplementation decreases hip fracture-related complications.
      ,
      • Eneroth M.
      • Olsson U.B.
      • Thorngren K.G.
      Insufficient fluid and energy intake in hospitalised patients with hip fracture. A prospective randomised study of 80 patients.
      ]. They found that the control group had only an average of 665 kcal over the first 3 days and 916 kcal from day 1 to day 10 (only 54% in the control group met the predicted caloric need). In comparison, only 40.6% of our young adult population met predicted caloric needs. They also found significantly fewer combined complications, including infection, venous thrombotic events, and mortality in the nutrition supplement group.
      Another observational study of older adults with hip fracture found that a single 24-h dietary recall survey showed significant caloric and macro- and micro-nutrient deficiencies [
      • Calvani R.
      • Martone A.M.
      • Marzetti E.
      • Onder G.
      • Savera G.
      • Lorenzi M.
      • et al.
      Pre-hospital dietary intake correlates with muscle mass at the time of fracture in older hip-fractured patients.
      ]. This study used bioelectrical impedance to document skeletal muscle mass. They found that caloric deficiencies, as well as total protein and leucine (amino acid) intake, predicted lower skeletal muscle mass. Our investigation documents similar nutritional deficiencies in a younger trauma population (ages 18–55 years), providing additional evidence that nutrition supplementation for orthopedic trauma patients may be warranted.

      Limitations

      This was a nonconsecutive, convenience sample of young adults treated with operative fracture fixation. Fifty-four subjects were enrolled in the study, and only 32 completed at least 1 ASA24® survey (59%). The subjects were offered 9 times points in the first 4 weeks after injury, and an average of 4 ASA24® surveys were completed per subject. Efficient data collection is a well-documented challenge of nutrition research. Previous investigations found that approximately a third of enrolled subjects do not complete the ASA24® survey, citing lack of time [
      • Solbak N.M.
      • Robson P.J.
      • Lo Siou G.
      • Al Rajabi A.
      • Paek S.
      • Vena J.E.
      • et al.
      Administering a combination of online dietary assessment tools, the automated self-administered 24-hour dietary assessment tool, and diet history questionnaire II, in a cohort of adults in Alberta’s tomorrow project.
      ]. They found each survey required a mean of 39 min to complete. We found that each survey required 30–45 min to complete and completion required prompting from our research team. The substantial time required for completion of the diet assessment tool limited enrollment and follow up. Dietary data for this study was collected using self-administered 24-h food recalls. While this is one of the most accurate methods for dietary assessment, all self-reported dietary intakes are subject to recall bias and underreporting [
      • Park Y.
      • Dodd K.W.
      • Kipnis V.
      • Thompson F.E.
      • Potischman N.
      • Schoeller D.A.
      • et al.
      Comparison of self-reported dietary intakes from the automated self-administered 24-h recall, 4-d food records, and food-frequency questionnaires against recovery biomarkers.
      ]. Additionally, the diet assessment tool used in this study only provides a 24-h window of dietary intake, which restricted assessment to the post-injury period and did not allow for collection of baseline data. Future investigation in the trauma population should consider other validated food frequency questionnaires such as the VioScreen® (VioCare®) dietary assessment tool. VioScreen® is a validated tool intended to simplify the estimation of 3-month dietary intake. However, accurate assessment of previous dietary intake will continue to be a challenge of future studies of nutrition interventions [
      • Patterson R.E.
      • Kristal A.R.
      • Tinker L.F.
      • Carter R.A.
      • Bolton M.P.
      • Agurs-Collins T.
      Measurement characteristics of the Women's Health Initiative food frequency questionnaire.
      ,
      • Kristal A.R.
      • Kolar A.S.
      • Fisher J.L.
      • Plascak J.J.
      • Stumbo P.J.
      • Weiss R.
      • et al.
      Evaluation of web-based, self-administered, graphical food frequency questionnaire.
      ].
      We used broad definitions for adequate diet. Nutrient intake was evaluated using DRIs [
      Calcium IoMUCtRDRIfVDa
      Dietary reference intakes for calcium and vitamin D.
      ], and overall diet quality was assessed using the HEI-2015 [
      Nutrition and Your Health
      2015–2020 dietary guidelines for Americans.
      ]. These are the best available normalized assessments for evaluating macro- and micro-nutrient intake. However, the DRIs were designed to apply to the healthy population. Standard DRIs likely underestimate the nutrition requirements for a trauma population due to the increased metabolic demand required for appropriate fracture and wound healing. This study provides baseline data for a population not treated with nutrition intervention.

      Conclusion

      In this study of previously healthy young adults, diet quality and nutrient intake did not meet recommendations in the 4 weeks following major musculoskeletal trauma. Most subjects consumed inadequate amounts of calories, fiber, essential vitamins (folate, vitamins C, A, E, K, and D), and minerals (potassium, magnesium, and zinc). Diet analysis revealed that most subjects failed to consume adequate daily amounts of beneficial food groups. Results from this study are consistent with a growing body of evidence suggesting that nutrient intake is severely inadequate among orthopedic trauma populations and represents an area for improvement. Deficiencies identified in this study provide targets for future clinical investigations of nutrition interventions to improve outcomes in young adults with significant musculoskeletal trauma.

      Funding sources

      This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

      Statement of authorship

      MW and RG contributed to the conception and design of the research study; AM, BK, and JD contributed to the acquisition and interpretation of the data; NG contributed to the analysis and interpretation of the data; AM and MW contributed to the drafting of the manuscript. All authors contributed to critically revising the manuscript and approved the final manuscript.

      Declaration of competing interest

      We have no conflicts of interest to disclose.

      Acknowledgments

      None.

      References

        • Santilli V.
        • Bernetti A.
        • Mangone M.
        • Paoloni M.
        Clinical definition of sarcopenia.
        Clin Cases Miner Bone Metab. Sep 2014; 11: 177-180
        • Dam T.T.
        • Peters K.W.
        • Fragala M.
        • Cawthon P.M.
        • Harris T.B.
        • McLean R.
        • et al.
        An evidence-based comparison of operational criteria for the presence of sarcopenia.
        J Gerontol A Biol Sci Med Sci May. 2014; 69: 584-590https://doi.org/10.1093/gerona/glu013
        • McLean R.R.
        • Shardell M.D.
        • Alley D.E.
        • Cawthon P.M.
        • Fragala M.S.
        • Harris T.B.
        • et al.
        Criteria for clinically relevant weakness and low lean mass and their longitudinal association with incident mobility impairment and mortality: the Foundation for the National Institutes of Health (FNIH) sarcopenia project.
        J Gerontol A Biol Sci Med Sci. 2014; https://doi.org/10.1093/gerona/glu012
        • Englesbe M.J.
        • Patel S.P.
        • He K.
        • Lynch R.J.
        • Schaubel D.E.
        • Harbaugh C.
        • et al.
        Sarcopenia and mortality after liver transplantation.
        J Am Coll Surg. Aug 2010; 211: 271-278https://doi.org/10.1016/j.jamcollsurg.2010.03.039
        • Deren M.E.
        • Babu J.
        • Cohen E.M.
        • Machan J.
        • Born C.T.
        • Hayda R.
        Increased mortality in elderly patients with sarcopenia and acetabular fractures.
        J Bone Jt Surg Am. Feb 01 2017; 99: 200-206https://doi.org/10.2106/JBJS.16.00734
        • Du Y.
        • Karvellas C.J.
        • Baracos V.
        • Williams D.C.
        • Khadaroo R.G.
        • Acute Care, Emergency Surgery (ACES) Group
        Sarcopenia is a predictor of outcomes in very elderly patients undergoing emergency surgery.
        Surgery. Sep 2014; 156: 521-527https://doi.org/10.1016/j.surg.2014.04.027
        • Izumi T.
        • Watanabe J.
        • Tohyama T.
        • Takada Y.
        Impact of psoas muscle index on short-term outcome after living donor liver transplantation.
        Turk J Gastroenterol. Jul 2016; 27: 382-388https://doi.org/10.5152/tjg.2016.16201
        • Nakashima Y.
        • Saeki H.
        • Nakanishi R.
        • Sugiyama M.
        • Kurashige J.
        • Oki E.
        • et al.
        Assessment of sarcopenia as a predictor of poor outcomes after esophagectomy in elderly patients with esophageal cancer.
        Ann Surg. Jun 2018; 267: 1100-1104https://doi.org/10.1097/sla.0000000000002252
        • Joglekar S.
        • Nau P.N.
        • Mezhir J.J.
        The impact of sarcopenia on survival and complications in surgical oncology: a review of the current literature.
        J Surg Oncol. Oct 2015; 112: 503-509https://doi.org/10.1002/jso.24025
        • DeAndrade J.
        • Pedersen M.
        • Garcia L.
        • Nau P.
        Sarcopenia is a risk factor for complications and an independent predictor of hospital length of stay in trauma patients.
        J Surg Res. Jan 2018; 221: 161-166https://doi.org/10.1016/j.jss.2017.08.018
        • Gonzalez-Montalvo J.I.
        • Alarcon T.
        • Gotor P.
        • Queipo R.
        • Velasco R.
        • Hoyos R.
        • et al.
        Prevalence of sarcopenia in acute hip fracture patients and its influence on short-term clinical outcome.
        Geriatr Gerontol Int. Sep 2016; 16: 1021-1027https://doi.org/10.1111/ggi.12590
        • Steihaug O.M.
        • Gjesdal C.G.
        • Bogen B.
        • Kristoffersen M.H.
        • Lien G.
        • Ranhoff A.H.
        Sarcopenia in patients with hip fracture: a multicenter cross-sectional study.
        PLoS One. 2017; 12e0184780https://doi.org/10.1371/journal.pone.0184780
        • Mitchell P.M.
        • Collinge C.A.
        • O'Neill D.E.
        • Bible J.E.
        • Mir H.R.
        Sarcopenia is predictive of 1-year mortality after acetabular fractures in elderly patients.
        J Orthop Trauma. Jun 2018; 32: 278-282https://doi.org/10.1097/BOT.0000000000001159
        • Yoo T.
        • Lo W.D.
        • Evans D.C.
        Computed tomography measured psoas density predicts outcomes in trauma.
        Surgery. Aug 2017; 162: 377-384https://doi.org/10.1016/j.surg.2017.03.014
        • McLean R.R.
        • Shardell M.D.
        • Alley D.E.
        • Cawthon P.M.
        • Fragala M.S.
        • Harris T.B.
        • et al.
        Criteria for clinically relevant weakness and low lean mass and their longitudinal association with incident mobility impairment and mortality: the foundation for the National Institutes of Health (FNIH) sarcopenia project.
        J Gerontol A Biol Sci Med Sci May. 2014; 69: 576-583https://doi.org/10.1093/gerona/glu012
        • Landi F.
        • Calvani R.
        • Ortolani E.
        • Salini S.
        • Martone A.M.
        • Santoro L.
        • et al.
        The association between sarcopenia and functional outcomes among older patients with hip fracture undergoing in-hospital rehabilitation.
        Osteoporos Int May. 2017; 28: 1569-1576https://doi.org/10.1007/s00198-017-3929-z
        • Landi F.
        • Liperoti R.
        • Russo A.
        • Giovannini S.
        • Tosato M.
        • Capoluongo E.
        • et al.
        Sarcopenia as a risk factor for falls in elderly individuals: results from the ilSIRENTE study.
        Clin Nutr. Oct 2012; 31: 652-658https://doi.org/10.1016/j.clnu.2012.02.007
        • Avenell A.
        • Smith T.O.
        • Curtain J.P.
        • Mak J.C.
        • Myint P.K.
        Nutritional supplementation for hip fracture aftercare in older people.
        Cochrane Database Syst Rev. Nov 30 2016; 11 (doi:10.1002/14651858.CD001880.pub610.1002/14651858.CD001880.pub6)Cd001880
        • Eneroth M.
        • Olsson U.B.
        • Thorngren K.G.
        Nutritional supplementation decreases hip fracture-related complications.
        Clin Orthop Relat Res. Oct 2006; 451: 212-217https://doi.org/10.1097/01.blo.0000224054.86625.06
        • Ekinci O.
        • Yanik S.
        • Terzioglu Bebitoglu B.
        • Yilmaz Akyuz E.
        • Dokuyucu A.
        • Erdem S.
        Effect of Calcium beta-Hydroxy-beta-Methylbutyrate (CaHMB), vitamin D, and protein supplementation on postoperative immobilization in malnourished older adult patients with hip fracture: a randomized controlled study.
        Nutr Clin Pract. Dec 2016; 31: 829-835https://doi.org/10.1177/0884533616629628
        • Niitsu M.
        • Ichinose D.
        • Hirooka T.
        • Mitsutomi K.
        • Morimoto Y.
        • Sarukawa J.
        • et al.
        Effects of combination of whey protein intake and rehabilitation on muscle strength and daily movements in patients with hip fracture in the early postoperative period.
        Clin Nutr. Aug 2016; 35 ([Epub 2015 Jul 17]): 943-949https://doi.org/10.1016/j.clnu.2015.07.006
        • Duncan D.G.
        • Beck S.J.
        • Hood K.
        • Johansen A.
        Using dietetic assistants to improve the outcome of hip fracture: a randomised controlled trial of nutritional support in an acute trauma ward.
        Age Ageing. Mar 2006; 35 (doi:10.1093/ageing/afj01110.1093/ageing/afj011. [Epub 2005 Dec 14]): 148-153
        • Krebs-Smith S.M.
        • Pannucci T.E.
        • Subar A.F.
        • Kirkpatrick S.I.
        • Lerman J.L.
        • Tooze J.A.
        • et al.
        Update of the Healthy Eating Index: HEI-2015.
        J Acad Nutr Diet. 2018; 118: 1591-1602https://doi.org/10.1016/j.jand.2018.05.021
        • Calcium IoMUCtRDRIfVDa
        Dietary reference intakes for calcium and vitamin D.
        2011
        • Subar A.F.
        • Kirkpatrick S.I.
        • Mittl B.
        • Zimmerman T.P.
        • Thompson F.E.
        • Bingley C.
        • et al.
        The automated self-administered 24-hour dietary recall (ASA24): a resource for researchers, clinicians, and educators from the National Cancer Institute.
        J Acad Nutr Diet. Aug 2012; 112: 1134-1137https://doi.org/10.1016/j.jand.2012.04.016
      1. Automated self-administered 24-hour (ASA24®) dietary assessment tool. National Cancer Institute. https://epi.grants.cancer.gov/asa24/; [accessed June, 2019].

        • Kirkpatrick S.I.
        • Subar A.F.
        • Douglass D.
        • Zimmerman T.P.
        • Thompson F.E.
        • Kahle L.L.
        • et al.
        Performance of the automated self-administered 24-hour recall relative to a measure of true intakes and to an interviewer-administered 24-h recall.
        Am J Clin Nutr Jul. 2014; 100: 233-240https://doi.org/10.3945/ajcn.114.083238
        • Park Y.
        • Dodd K.W.
        • Kipnis V.
        • Thompson F.E.
        • Potischman N.
        • Schoeller D.A.
        • et al.
        Comparison of self-reported dietary intakes from the automated self-administered 24-h recall, 4-d food records, and food-frequency questionnaires against recovery biomarkers.
        Am J Clin Nutr 01. 2018; 107: 80-93https://doi.org/10.1093/ajcn/nqx002
        • Ahluwalia N.
        • Dwyer J.
        • Terry A.
        • Moshfegh A.
        • Johnson C.
        Update on NHANES dietary data: Focus on collection, release, analytical considerations, and uses to inform public policy.
        Adv Nutr. Jan 2016; 7: 121-134https://doi.org/10.3945/an.115.009258
        • Murphy S.P.
        • Poos M.I.
        Dietary reference intakes: summary of applications in dietary assessment.
        Public Health Nutr. Dec 2002; 5: 843-849https://doi.org/10.1079/PHN2002389
        • Intakes IoMUSoIaUoDR, Intakes IoMUSCotSEoDR
        DRI dietary reference intakes: applications in dietary assessment.
        2000
        • McClave S.A.
        • Taylor B.E.
        • Martindale R.G.
        • Warren M.M.
        • Johnson D.R.
        • Braunschweig C.
        • et al.
        Guidelines for the provision and assessment of nutrition support therapy in the adult critically Ill patient: Society of Critical Care Medicine (SCCM) and American Society for Parenteral and Enteral Nutrition (A.S.P.E.N.).
        J Parenter Enter Nutr Feb. 2016; 40: 159-211https://doi.org/10.1177/0148607115621863
        • Ferrie S.
        • Allman-Farinelli M.
        • Daley M.
        • Smith K.
        Protein requirements in the critically Ill: a randomized controlled trial using parenteral nutrition.
        J Parenter Enter Nutr. 08 2016; 40: 795-805https://doi.org/10.1177/0148607115618449
        • Nutrition and Your Health
        2015–2020 dietary guidelines for Americans.
        8th ed. US Government Printing Office, 2015
        • Guenther P.M.
        • Kirkpatrick S.I.
        • Reedy J.
        • Krebs-Smith S.M.
        • Buckman D.W.
        • Dodd K.W.
        • et al.
        The Healthy Eating Index-2010 is a valid and reliable measure of diet quality according to the 2010 dietary guidelines for Americans.
        J Nutr Mar. 2014; 144: 399-407https://doi.org/10.3945/jn.113.183079
        • McGee M.
        • Unger S.
        • Hamilton J.
        • Birken C.S.
        • Pausova Z.
        • Kiss A.
        • et al.
        Associations between diet quality and body composition in young children born with very low body weight.
        J Nutr. 2020; 150: 2961-2968https://doi.org/10.1093/jn/nxaa281
        • Boullata J.
        • Williams J.
        • Cottrell F.
        • Hudson L.
        • Compher C.
        Accurate determination of energy needs in hospitalized patients.
        J Am Diet Assoc. Mar 2007; 107: 393-401https://doi.org/10.1016/j.jada.2006.12.014
      2. Usual Dietary Intakes: SAS macros for the NCI method. National Cancer Institute. https://epi.grants.cancer.gov/diet/usualintakes/macros.html; [accessed 2019].

      3. HEI Scores for Americans. Food and nutrition service US Department of Agriculture. https://www.fns.usda.gov/hei-scores-americans; [accessed June 2019].

        • Onvani S.
        • Haghighatdoost F.
        • Surkan P.J.
        • Larijani B.
        • Azadbakht L.
        Adherence to the healthy eating index and alternative healthy eating index dietary patterns and mortality from all causes, cardiovascular disease and cancer: a meta-analysis of observational studies.
        J Hum Nutr Diet. 04 2017; 30: 216-226https://doi.org/10.1111/jhn.12415
        • Cole R.E.
        • Bukhari A.S.
        • Champagne C.M.
        • McGraw S.M.
        • Hatch A.M.
        • Montain S.J.
        Performance nutrition dining facility intervention improves special operations soldiers' diet quality and meal satisfaction.
        J Nutr Educ Behav. Nov - Dec 2018; 50: 993-1004https://doi.org/10.1016/j.jneb.2018.06.011
        • Smith T.J.
        • Dotson L.E.
        • Young A.J.
        • et al.
        Eating patterns and leisure-time exercise among active duty military personnel: comparison to the healthy people objectives.
        J Acad Nutr Diet. Jul 2013; 113: 907-919https://doi.org/10.1016/j.jand.2013.03.002
        • Jensen J.E.
        • Jensen T.G.
        • Smith T.K.
        • Johnston D.A.
        • Dudrick S.J.
        Nutrition in orthopaedic surgery.
        J Bone Jt Surg Am. Dec 1982; 64: 1263-1272
        • Norman K.
        • Pichard C.
        • Lochs H.
        • Pirlich M.
        Prognostic impact of disease-related malnutrition.
        Clin Nutr. Feb 2008; 27: 5-15https://doi.org/10.1016/j.clnu.2007.10.007
        • U.S. Department of Agriculture ARS
        Energy intakes: percentages of energy from protein, carbohydrate, fat, and alcohol, by gender and age, what we eat in America.
        2020
        • Agarwal Sanjiv
        • Reider Carroll
        • Brooks James R.
        • Fulgoni III, Victor L.
        Comparison of prevalence of inadequate nutrient intake based on body weight status of adults in the United States: an analysis of NHANES 2001–2008.
        J Am Coll Nutr. 2015; 34: 126-134https://doi.org/10.1080/07315724.2014.901196
        • Kant A.K.
        Reported consumption of low-nutrient-density foods by American Children and Adolescents: nutritional and health correlates, NHANES III, 1988 to 1994.
        Arch Pediatr Adolesc Med. 2003; 157: 789-796https://doi.org/10.1001/archpedi.157.8.789
        • Stechmiller J.K.
        Understanding the role of nutrition and wound healing.
        Nutr Clin Pract. Feb 2010; 25: 61-68https://doi.org/10.1177/0884533609358997
        • Eneroth M.
        • Olsson U.B.
        • Thorngren K.G.
        Insufficient fluid and energy intake in hospitalised patients with hip fracture. A prospective randomised study of 80 patients.
        Clin Nutr. Apr 2005; 24: 297-303https://doi.org/10.1016/j.clnu.2004.12.003
        • Calvani R.
        • Martone A.M.
        • Marzetti E.
        • Onder G.
        • Savera G.
        • Lorenzi M.
        • et al.
        Pre-hospital dietary intake correlates with muscle mass at the time of fracture in older hip-fractured patients.
        Front Aging Neurosci. 2014; 6: 269https://doi.org/10.3389/fnagi.2014.00269
        • Solbak N.M.
        • Robson P.J.
        • Lo Siou G.
        • Al Rajabi A.
        • Paek S.
        • Vena J.E.
        • et al.
        Administering a combination of online dietary assessment tools, the automated self-administered 24-hour dietary assessment tool, and diet history questionnaire II, in a cohort of adults in Alberta’s tomorrow project.
        J Acad Nutr Diet Feb. 2021; 18https://doi.org/10.1016/j.jand.2021.01.014
        • Patterson R.E.
        • Kristal A.R.
        • Tinker L.F.
        • Carter R.A.
        • Bolton M.P.
        • Agurs-Collins T.
        Measurement characteristics of the Women's Health Initiative food frequency questionnaire.
        Ann Epidemiol. Apr 1999; 9: 178-187
        • Kristal A.R.
        • Kolar A.S.
        • Fisher J.L.
        • Plascak J.J.
        • Stumbo P.J.
        • Weiss R.
        • et al.
        Evaluation of web-based, self-administered, graphical food frequency questionnaire.
        J Acad Nutr Diet. Apr 2014; 114: 613-621https://doi.org/10.1016/j.jand.2013.11.017