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. Author manuscript; available in PMC: 2020 May 5.
Published in final edited form as: Psychiatr Rehabil J. 2011 Fall;35(2):137–140. doi: 10.2975/35.2.2011.137.140

Dietary Intake of Adults with Serious Mental Illness

Sarah Stark Casagrande 1, Cheryl AM Anderson 2, Arlene Dalcin 3, Lawrence J Appel 4, Gerald J Jerome 5, Faith B Dickerson 6, Joseph V Gennusa 7, Gail L Daumit 8
PMCID: PMC7199388  NIHMSID: NIHMS1020879  PMID: 22020844

Abstract

Objective:

Suboptimal diet may be related to the high prevalence of obesity and cardiovascular disease (CVD) in persons with serious mental illnesses, but few studies have characterized dietary intake in this population.

Methods:

Participants were 102 overweight/obese adults with serious mental illnesses who were being screened for a weight loss trial in psychiatric rehabilitation centers. Direct observation of participant meals was completed using a standardized measurement form.

Results:

CVD risk factors were common: mean body mass index was 35.7 kg/m2; 30% had diabetes. Participants consumed 100% of caloric beverages served (7.2 oz/meal) but consumption was significantly less than served for fruits (difference of 0.12 cups/meal, p=0.003) and vegetables (0.14 cups/meal, p=0.02i). The majority (56%) of meat consumed was high fat.

Conclusions and Implications for Practice:

Interventions designed to improve dietary intake of persons with serious mental illnesses are needed to improve health in this population at high risk for CVD.

Keywords: dietary intake, serious mental illness, psychiatric rehabilitation centers, cardiovascular disease

Introduction

Poor dietary intake may be related to the high prevalence of obesity and cardiovascular disease (CVD) in persons with serious mental illnesses. Previous work estimates that the prevalence of obesity is 10–30% higher for people living with serious mental illnesses compared to the overall population (Allison, Fontaine et al., 1999; McElroy, Frye et al., 2002). Furthermore, CVD is largely responsible for a 20% shorter life expectancy (Colton & Manderscheid, 2006). Despite the importance of understanding dietary behaviors in persons with serious mental illnesses, few studies have characterized dietary intake. This brief report’s aim was to determine the dietary intake in persons who attend psychiatric rehabilitation programs (PRPs) and consume meals prepared by the PRP.

Methods

Study Population

Participants were overweight or obese (body mass index (BMI) ≥25 kg/m2) adults with serious mental illnesses being screened for a NIMH-funded behavioral weight loss trial. This report describes the baseline dietary intake of persons attending PRPs before the intervention commenced. Height and weight were measured by study staff according to a standardized protocol. Diabetes was defined as fasting plasma glucose level ≥126 mg/dl, self-report of physician diagnosis, or use of diabetes medication. Hypertension was defined as average blood pressure of ≥140/90 mmHg from three standardized readings over three weeks, self-report, or use of antihypertensive medication. The study was approved by the Johns Hopkins Medicine Institutional Review Board.

Dietary Assessment

Foods and beverages served and consumed were observed and recorded at the beginning and end of meals by direct observation. Trained data collectors observed meals from an unobtrusive distance using a standardized measurement form to observe 5 meals per participant. Inter-rater reliability was tested using 10 meals per data collector (Kappa statistic 0.70–1.0). The dietary assessment form captured the specific dietary components that researchers planned to target in the weight loss trial. Observers recorded the amounts of beverages, fruits and vegetables served and consumed and food preparation types. After the meal, the participant was asked where they obtained the previous day’s non-site meals.

Statistical Analysis

Mean servings of beverages, fruits and vegetables were determined by averaging data from five meals. T-tests were used to determine statistically significant differences between the amount of beverage/food served and consumed. To quantify the specific types and preparation methods of foods, the proportion of participants consuming a specific food item was determined given that a participant was served something from the food group.

Results

Participants

For 102 participants in 3 PRPs, 491 meals were observed. Mean age was 47 years; 58% were male and 42% were white. CVD risk factors were common. Mean BMI was 35.7 kg/m2 and 71% were obese. Additionally, 54% had hypertension and 30% had diabetes.

Beverage, Fruit, and Vegetable Consumption

Caloric beverages were the majority of all beverages served and participants consumed 100% of them (Table 1). Commonly consumed beverages were milk and fruit juices. On average, less than half a cup of fruit was served and consumption was significantly less than served (0.32 cups, p=0.003). Similarly, about two-thirds cup of vegetables were served but, consumption was just over one-half cup (p=0.021). Most vegetables served were non- starchy (e.g., leafy greens) and very few meals contained beans/legumes.

TABLE 1-.

Mean (SD) OF BEVERAGES, FRUITS AND VEGETABLES SERVED AND QUANTITY CONSUMED/MEAL (n=491) AMONG ADULTS WITH SERIOUS MENTAL ILLNESS AT PSYCHIATRIC REHABILITATION PROGRAMS (n=102)

Average Quantities per Meal

Served Consumed Difference
(Served-Consumed)
p-value

Beverages (fl. oz.)
All1 10.2 (6.1) 8.4 (5.3)   1.7 (2.9) 0.029
Sugar-sweetened2  2.8 (2.3) 2.8 (2.3)    0 (0) 1.00
Milk  4.4 (5.1) 4.4 (5.1)    0 (0) 1.00

Fruit (cups)   0.44 (0.31)  0.32 (0.26)   0.12 (0.20) 0.003

Vegetables (cups)
All   0.66 (0.38)  0.54 (0.36)   0.14 (0.34) 0.021
Starchy   0.11 (0.15)  0.09 (0.13)   0.02 (0.06)  0.299
Non-starchy   0.51 (0.34)  0.42 (0.32)   0.09 (0.13)  0.055
Beans/legumes   0.03 (0.07)  0.02 (0.06)   0.01 (0.04)  0.290

1

All: includes sugared beverages, milk, coffee, water, diet soda

2

Sugar-sweetened beverages: includes juice, regular soda

Food Preparation Methods and Availability

Among participants who were served meat, the meats consumed were mostly (56%) high in fat (Table 2). When vegetables were served 20% were not consumed. In general, few fried vegetables were consumed (8%) but half of the vegetables served at breakfast were fried and all consisted of white potatoes. Most (51%) of the consumed fruit was canned in juice but 22% of participants did not consume all of the fruit served. Overall, no skim milk was served and low-fat (1%) milk was consumed most (44%) of the time. White bread was most commonly consumed (55%) and no whole grain bread was offered. Twenty-two percent of cereals consumed were high sugar (≥ 10g sugar/serving).

TABLE 2-.

THE DISTRIBUTION OF SPECIFIC FOODS CONSUMED BY ADULTS WITH SERIOUS MENTAL ILLNESS AT PSYCHIATRIC REHABILITATION PROGRAMS (n=102)

Food Category and Proportion of Food Item Consumed [%(SD)]1
Preparation Method Total (n=102) Breakfast (n=37) Lunch (n=90)

Meat
 High fat  56.3 (42.3) 51.3 (30.7) 56.6 (44.9)
 Chicken breast  15.9 (35.0)    0 (0) 16.4 (35.4)
 Deli turkey or ham  9.6 (26.7)    0 (0) 10.3 (28.3)
 Fish/shellfish  2.8 (14.0)    0 (0)  2.7 (13.6)
 Ground turkey  0.5 (3.1)    0 (0)   0.8 (5.0)
 Eggs  4.6 (13.8) 39.8 (27.3)  2.8 (15.9)
 Not consumed  7.4 (11.7)  9.0 (15.6)  6.9 (13.7)

Vegetable
 Fried  7.9 (19.4)  50.0 (54.8)2  7.2 (18.9)
 Not fried 70.2 (29.8) 50.0 (54.7) 69.4 (30.6)
 Not consumed 19.7 (22.8)     0 (0) 20.6 (24.1)

Fruit
 In syrup  6.3 (16.9)     0 (0)  7.6 (18.4)
 In juice 51.0 (38.0)    3.3 (18.2) 63.8 (36.0)
 Fresh 22.0 (32.7) 64.7 (44.6)  9.5 (19.3)
 Not consumed 21.5 (30.0) 31.9 (43.3) 17.2 (29.1)

Milk
 Whole  0.9 (5.8)    0 (0)  2.9 (16.1)
 2% 39.7 (41.1) 37.9 (45.2) 35.6 (40.0)
 1% 44.4 (40.7) 54.8 (44.0) 44.0 (41.9)
 Skim  0 (0)    0 (0)  0 (0)
 Not consumed 12.9 (27.9) 6.6 (20.1) 15.1 (30.6)

Bread
 White 54.9 (33.2) 58.6 (36.8) 52.4 (35.3)
 Wheat 33.1 (31.8) 34.1 (38.1) 30.9 (32.2)
 Whole Grain  0.5 (5.0)    0 (0)   0.5 (5)
 Not consumed 12.6 (19.2) 7.6 (21.2) 15.3 (22.6)

Cereal
 High sugar  -  22.2 (28.4)  -
 Low-sugar  -  67.9 (31.4)  -
 Not consumed  -   9.5 (25.6)  -

Snack (% eaten, n=37) 100.0 (0)  -  -

Extra Food (% eaten, n=6) 100.0 (0)  -  -

Non-site Meals
 Fast-food restaurant  8.3 (14.4)  -  -
 Sit-down restaurant 1.1 (4.3)  -  -
 Home 90.6 (14.9)  -  -

1

Proportion of individuals that consumed a specific food item among those that selected a food from the respective food group

2

n=6

Additional Calories

After the meal, 36% of participants selected a snack. When snacks were purchased, they were consumed immediately. Few (6%) participants selected second servings but, if a second serving was selected, all of the food selected was consumed. Among participants that reported eating off-site the previous day, most ate at home (90%) and 8% reported eating at a fast food restaurant.

Discussion

Study participants had sub-optimal dietary patterns; and almost three times higher prevalence of diabetes and nearly two times higher prevalence of hypertension than in the overall population (2009). Although this report includes only individuals with overweight/obesity, more were obese than the U.S. population (71% vs. 33%) (Ogden, Fryar et al., 2004).

People living with serious mental illnesses need strategies to choose healthful foods in a variety of settings. We assume that food consumption patterns observed in this sample are similar to that of other institutional settings, where food choices can be limited. Previous work in an experimental setting indicates that individuals consume 100% of what is served (Wansink, Painter et al., 2005) and that portion sizes exceed Federal standards (Young & Nestle, 2002). Therefore, improving meal quality and dietary education could have significant positive effects on the health status of this group of individuals. The implications of this report directly align with the Substance Abuse and Mental Health Services Administration’s Wellness Vision and Pledge to increase life expectancy in persons with serious mental illnesses (2010).

It is important to note the low consumption of fruits/vegetables, and the presence of snacking behaviors at PRPs. Even if participants consumed similar quantities of fruits/vegetables at two other meals during the day, they would fall short of meeting recommendations (United States Department of Agriculture, 2006). Additionally, excess calories from non-nutritive snacks are problematic. Similar to people without serious mental illnesses, persons with serious mental illnesses may have a strong desire to obtain pleasure from eating and snacking. These desires may be augmented by anti-psychotic medications that can increase appetite and by having fewer other enjoyable experiences (e.g., social relationships, rewarding careers) (Kluge, Schuld et al., 2007).

This study has several strengths. First, data collectors directly observed dietary consumption instead of using self-report. Second, the five meals observed for most participants should be sufficient to describe diet (Basiotis, Welsh et al., 1987). Third, several dimensions of diet were captured at PRP meals and snack times. Nevertheless, data collectors only observed participants on-site, thus, it is unknown what foods were consumed away from the PRP.

Given the high risk of CVD, obesity and diabetes in persons with serious mental illness, understanding dietary intake in this population is important. The sub-optimal dietary patterns provide opportunities to modify the food environment in PRPs in efforts to improve the health of this population.

Acknowledgements

The authors would like to acknowledge Deborah Gayles, BS for her contributions to the development of the dietary assessment form and Xiaoshu Feng, BS for creating and managing the dietary assessment database.

This manuscript was supported by the National Institute of Mental Health (R01MH080964) and the National Heart, Lung and Blood Institute (K01HL092595-03).

Contributor Information

Sarah Stark Casagrande, Johns Hopkins University School of Medicine, Baltimore, MD.

Cheryl A.M. Anderson, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.

Arlene Dalcin, Johns Hopkins University School of Medicine, Baltimore, MD.

Lawrence J. Appel, Johns Hopkins University School of Medicine, Baltimore, MD.

Gerald J. Jerome, Towson University, Towson, MD, Johns Hopkins University School of Medicine, Baltimore, MD.

Faith B. Dickerson, Sheppard Pratt Health System, Towson, MD.

Joseph V. Gennusa, Johns Hopkins University School of Medicine, Baltimore, MD.

Gail L. Daumit, Johns Hopkins University School of Medicine, Baltimore, MD.

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