Factors associated with low fruit and vegetable consumption among people with severe mental ill health
Social Psychiatry and Psychiatric Epidemiology
https://doi.org/10.1007/s00127-023-02514-z
BRIEF REPORT
Factors associated with low fruit and vegetable consumption
among people with severe mental ill health
Ben Lorimer1 · Gemma Traviss‑Turner2 · Andrew Hill2 · Sarah Baker3,4 · Simon Gilbody1,5 · Emily Peckham1
Received: 24 May 2023 / Accepted: 6 June 2023
© The Author(s) 2023
Abstract
Severe mental ill health (SMI) is associated with excess mortality, and poor diet is one associated modifiable risk factor.
This study investigated factors associated with low consumption of fruit and vegetables among people with SMI (N = 9914).
A total of 8.4% of participants ate no portions per day, while only 15% ate 5 + portions. Individuals who never consumed
fruit and vegetables or ate < 5 portions per day were more likely to be male, younger than 65, unemployed, experience
poorer general health, or perceive health as unimportant. Poor diet is common among people with SMI and tailored dietary
improvement interventions are required.
Keywords Schizophrenia · Psychosis · Bipolar affective disorders · Severe mental ill health · Health risk behaviours · Poor
diet
Introduction
People with severe mental ill health (SMI) have an estimated
life expectancy that is 8–15 years shorter than people in
the general population [1, 2]. Furthermore, this mortality
gap appears to be gradually increasing over time [3]. Preventable physical diseases (e.g., cardiovascular disease)
and modifiable risk factors have been demonstrated to contribute significantly to this health inequality, with one such
factor being poor diet [4, 5]. For example, a 2014 survey
of 1286 adults with psychosis estimated that 74% ate less
than four servings of fruit and vegetables daily, and that
poor diet was frequently accompanied by other unhealthy
behaviours (e.g., smoking) [6]. More recently, the Closing
the Gap (CtG) Health Study, which surveyed 9914 adults
with schizophrenia-spectrum disorders or bipolar disorder,
* Ben Lorimer
1
Department of Health Sciences, University of York, York,
UK
2
School of Medicine, University of Leeds, Leeds, UK
3
York St John University, York, UK
4
York and Scarborough Teaching Hospitals NHS Foundation
Trust, York, UK
5
Hull York Medical School, York, UK
estimated that 85% ate less than five portions of fruits and
vegetables daily [7]. Both statistics indicate that people with
SMI are frequently not meeting current guidelines for fruit
and vegetable consumption (i.e., at least five portions daily)
[8], and that they meet such guidelines to a lesser extent than
the general population (15% compared to 28%) [9]. This
limited consumption may contribute to the physical health
inequalities discussed previously, especially considering
that fruit and vegetable consumption has been demonstrated
to provide substantial benefits to human health, including
reduced risk of cardiovascular disease [10]. Improving our
understanding of what factors are associated with poor diet
among people with SMI may enable interventions to be
developed and tailored for this group. The study objectives
were therefore to utilise data collected in The CtG Health
Study to investigate factors associated with: (1) never eating
fruit and vegetables; and (2) low consumption of fruit and
vegetables (vs meeting current guidelines).
Method
This study extends previous descriptive analyses of data
gathered from The CtG Health Study, a cross-sectional survey study conducted between April 2016 and March 2020
that examined overall health and prevalence of health risk
behaviours among people with SMI. Full details of the
13
Vol.:(0123456789)
Social Psychiatry and Psychiatric Epidemiology
study have been reported elsewhere [7]. To summarise,
adults (18 +) with a documented diagnosis of schizophrenia, bipolar disorder, or associated disorder (corresponding
to ICD-10 [F20–29 or F30–31] or DSM-IV [295.x, 296.x, or
297.x] criteria) were invited to complete a self-report questionnaire. Participants were recruited from 314 primary care
sites and 23 secondary care sites across England. A total
of N = 9,914 participants completed the questionnaire, with
n = 3,084 being recruited from primary care and n = 6,830
from secondary care. The mean age of the sample was 48.2
(SD = 14.8), with 55.4% being male, 85.2% being of white
ethnicity, and 68.4% being overweight or having obesity.
Table 1 describes the demographic and health information
of the sample. All study procedures were approved by West
Midlands Research Ethics Committee (ref: 15/WM/0444),
and all participants provided written consent.
Table 1 Demographic and health information of the Sample
(N = 9914)
Variable
Socio-demographic information
Gender, n (%)
Male
Female
Transgender
Age, M (SD)
Ethnicity, n (%)
White
Black
Mixed
South Asian
Other Asian
Other
Employment, n (%)
In paid employment
Not in paid employment
Index of multiple deprivation, M (SD)
Health information
Body mass index, M (SD)
Body mass index category, n (%)
Underweight
Healthy weight
Overweight
Having obesity
Importance of maintaining a healthy
lifestyle, n (%)
A top priority
Moderately important
Not worried about it
N (%a) / M (SD)
5388 (55.4)
4289 (44.1)
57 (0.01)
48.2 (14.8)
8350 (85.2)
434 (4.4)
333 (3.4)
426 (4.3)
96 (1.0)
159 (1.6)
1687 (17.4)
8006 (82.6)
4.7 (2.8)
28.9 (6.9)
184 (2.1)
2544 (29.5)
2660 (30.9)
3226 (37.5)
Missing N
180b
203
116
Results
221
2493
1300
1300
78
4475 (45.5)
3839 (39.0)
1522 (15.5)
a
Percentages calculated using only those cases with full data (i.e.,
excluding missing)
b
Total includes participants who responded “Prefer Not to Say”
13
The questionnaire included questions related to demographics, general health, and engagement in various health
risk behaviours (Supplementary Materials A). One investigated behaviour was the consumption of fruit and vegetables, with this being assessed through the following question: “In general, how many portions of fruit and vegetables
do you eat per day?”. Response options included ‘I don’t eat
fruit and vegetables’, ‘one’, ‘two’, ‘three’, ‘four’, and ‘five
or more’. Participants were also asked to rate their overall
general health in the last year (‘excellent’, ‘good’, ‘moderate’, ‘poor’, or ‘very poor’), and how important maintaining
a healthy lifestyle was to them (‘a top priority’, ‘moderately
important’, or ‘I don’t worry about it’).
Two binary logistic regression models were conducted
using a Bonferroni-adjusted alpha value of 0.025 (0.05/2).
For one model, the dependent variable was eating 0 vs ≥ 1
fruit and vegetables per day, while for the second model,
the dependent variable was eating ≥ 5 vs < 5 fruit and vegetables per day. The eight independent variables input into
both models included: age, gender, neighbourhood deprivation (assessed by linking postcodes to the English Index of
Multiple Deprivation [IMD] [11]), Body Mass Index (BMI),
ethnicity, employment status, general health rating, and perceived importance of hea (...truncated)