Hostname: page-component-586b7cd67f-2brh9 Total loading time: 0 Render date: 2024-11-25T07:29:00.688Z Has data issue: false hasContentIssue false

Benefits of adding food education sessions to an exercise programme on cardiovascular risk factors in patients with type 2 diabetes

Published online by Cambridge University Press:  11 August 2021

Carlos Eduardo Gonçalves da Costa Vasconcelos*
Affiliation:
University of Trás-os-Montes e Alto Douro, Quinta de Prados, 5000-801Vila Real, Portugal School of Education of Viseu, Polytechnic Institute of Viseu, Rua Dr. Maximiano Aragão 41, 3504-501Viseu, Portugal
Maria Manuela Lobato Guimarães Ferreira Cabral
Affiliation:
EPIUnit – Instituto de Saúde Pública, Universidade do Porto, Rua das Taipas 135, 4050-091Porto, Portugal
Elisabete Conceição Pereira Ramos
Affiliation:
EPIUnit – Instituto de Saúde Pública, Universidade do Porto, Rua das Taipas 135, 4050-091Porto, Portugal Departamento de Ciências da Saúde Pública e Forenses e Educação Médica, Faculdade de Medicina, Universidade do Porto, Alameda Prof. Hernâni Monteiro, 4200-319Porto, Portugal
Romeu Duarte Carneiro Mendes
Affiliation:
University of Trás-os-Montes e Alto Douro, Quinta de Prados, 5000-801Vila Real, Portugal EPIUnit – Instituto de Saúde Pública, Universidade do Porto, Rua das Taipas 135, 4050-091Porto, Portugal Northern Region Health Administration, Rua de Santa Catarina 1288, 4000-477Porto, Portugal
*
*Corresponding author: Carlos Eduardo Gonçalves da Costa Vasconcelos, email [email protected]

Abstract

To evaluate the impact of adding food education sessions to an exercise programme on cardiovascular risk factors in middle-aged and older patients with type 2 diabetes (T2D), a randomised parallel-group study was performed. Glycated haemoglobin, body mass index (BMI), waist circumference, fat mass (FM) and blood pressure were assessed at baseline and after 9 months. The recruitment was made in three primary healthcare centres from Vila Real, Portugal. Thirty-three patients (65⋅4 ± 5⋅9 years old) were engaged in a 9-month community-based lifestyle intervention programme: a supervised exercise programme (EX; n = 15; combined aerobic, resistance, agility/balance and flexibility exercise; three sessions per week; 75 min per session); or the same exercise programme plus concomitant food education sessions (EXFE; n = 18; 15-min lectures and dual-task strategies during exercise (answer nutrition questions while walking); 16 weeks). Significant differences between groups were identified in the evolution of BMI (P < 0.001, $\eta _{\rm p}^2 = 0{\cdot} 150$) and FM (P < 0.001, $\eta _{\rm p}^2 = 0{\cdot}130$), with best improvements observed in the EXFE group. The addition of a simple food education dietary intervention to an exercise programme improved body weight and composition, but not glycaemic control and blood pressure in middle-aged and older patients with T2D.

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press on behalf of The Nutrition Society

Introduction

Type 2 diabetes (T2D) is a challenging public health issue, with adverse effects on health and economyReference Danaei, Finucane and Lu1. Patients with T2D have a 15 % increased risk of all-cause mortality compared with people with normal glucose toleranceReference Chatterjee, Khunti and Davies2. Cardiovascular diseases, more specifically stroke and coronary heart disease, are the main causes of death in individuals with T2DReference Einarson, Acs and Ludwig3, mostly for those with ≥65 years oldReference Kannel and McGee4. Unhealthy dietary behaviours and physical inactivity, obesity, high blood pressure and hyperglycaemia are major cardiovascular risk factors associated with T2DReference Lanier, Bury and Richardson5, Reference Hippisley-Cox and Coupland6. It is well established that lifestyle modifications programmes incorporating dietary and/or exercise interventions improve cardiovascular risk factors in patients with T2D, when compared with a control groupReference Barreira, Novo and Vaz7, Reference Huang, Pan and Chen8.

In a meta-analysis conducted in T2D patients, combined aerobic and resistance exercise reduced significantly HbA1c by 0⋅67 %, WC by 23⋅1 cm and SBP by 3⋅59 mmHgReference Chudyk and Petrella9.

Combined exercise programmes also induced significant improvements on BMIReference Sigal, Kenny and Boulé10, Reference Sparks, Johannsen and Church11, FMReference Tan, Li and Wang12, Reference Otten, Stomby and Waling13 and DBPReference Balducci, Zanuso and Nicolucci14, Reference Hayashino, Jackson and Fukumori15.

However, to the best of our knowledge, only one randomised controlled trialReference Giannopoulou, Fernhall and Carhart16, conducted in the United States of America during 14 weeks, has assessed if the addition of a nutritional intervention to an exercise programme leads to improvements in cardiovascular risk factors in middle-aged and older patients with T2D. In the present study, exercise intervention consisted of aerobic exercise, performed during 60 min, three to four times a week. Regarding nutritional intervention, a diet composed of 40 % fat, 40 % carbohydrates and 20 % protein was prescribed to the participants.

However, according to international physical activity recommendations for T2D controlReference Mendes, Sousa and Almeida17Reference Colberg, Sigal and Yardley19, combined aerobic and resistance exercise programmes should be applied in these patients. In what concerns nutritional intervention, there is a lack of easy-to-implement strategies among community settings in order to develop the capacity for self-management of dietReference Hendrie, Coveney and Cox20. Previous findings from our research team showed that a food education programme improved the dietary pattern of T2D patients through significant changes in polyunsaturated fat intake and servings of vegetables per dayReference Vasconcelos, Cabral and Ramos21.

Thus, the present study aimed to evaluate if the addition of a simple food-education dietary intervention confers additional effect to a combined exercise programme on cardiovascular risk factors in middle-aged and older patients with T2D.

Methods

Study design

The present study was a randomised parallel-group trial conducted in the city of Vila Real, Portugal. Participants were recruited to a 9-month community-based lifestyle intervention programme for patients with T2D and engaged, following simple randomisation procedures, to an exercise programme only (EX) or to the same exercise programme combined with concomitant food education sessions (EXFE). All patients received information to maintain their diabetes management (lifestyle-related physical activity and pharmacological plan), and to continue with their medical consultations during the study.

Glycaemic control (glycated haemoglobin (HbA1c)), anthropometric profile (body mass index (BMI) and waist circumference (WC)), body composition (fat mass (FM)) and blood pressure (systolic blood pressure (SBP) and diastolic blood pressure (DBP)) were assessed before (baseline) and after the lifestyle intervention programme (9 months).

Participants

The implementation of the community-based lifestyle intervention programme was planned for two groups of twenty participants each (the limit of our human, material and infrastructure resources), representing a total of 274 h of intervention (135 h in the EX group and 139 h in the EXFE group). Predicting an initial refusal rate of 25 %, primary healthcare medical doctors from three primary healthcare centres from Vila Real (Portugal) were asked to select sixty-six participants (twenty-two from each primary health centre) according to the following inclusion criteria: T2D diagnosed at least for 6 months; aged between 50 and 80 years old; non-smokers; not engaged in supervised exercise; independent living in the community; medical recommendation for lifestyle intervention; known medical history; diabetes comorbidities under control (diabetic foot, retinopathy and nephropathy); no cardiovascular, respiratory and musculoskeletal contraindications to exercise; without major changes in gait and balance; not started insulin therapy in the past 3 months.

Our research team received information of sixty-seven primary healthcare patients with T2D. Forty-two agreed to participate in the study and were randomised for the EX (nineteen patients) or EXFE (twenty-three patients) group.

Medical events with hospitalisation (diseases, accidents or surgeries) during the study period were determined as exclusion criteria from final analysis. The level of adherence was not considered exclusion criteria for final analysis. Dropouts are explained in the Results section.

The present study was conducted according to the guidelines laid down in the Declaration of Helsinki and all procedures involving patients were approved by the Health Committee of the Portuguese Northern Region Health Administration. Written informed consent was obtained from all patients.

Exercise programme

Patients participated in ‘Diabetes em Movimento’, a community-based exercise programme for patients with T2D, developed in PortugalReference Mendes, Sousa and Reis22, Reference Mendes, Sousa and Themudo-Barata23 according to international physical activity recommendations for T2D control and falls preventionReference Mendes, Sousa and Almeida17, Reference Chodzko-Zajko, Proctor and Fiatarone Singh24.

This supervised exercise programme was implemented during 9 months and consisted of three exercise sessions per week, 75 min per session. Each session was performed at the municipal sports complex and organised according to the following structure: warm-up, aerobic exercise, resistance exercise, agility/balance exercise and flexibility exercise. The warm-up consisted of 10 min of brisk walking. In aerobic exercise, patients accomplished 30 min of continuous brisk walking. In resistance exercise, patients accomplished 20 min of muscle-strengthening through the performance of six exercises (three for the lower limbs and three for the upper limbs and torso; with chairs, gymnastic balls and dumbbells) in circuit mode: the number of circuits of the resistance exercises increased progressively from one (in the first month for an adaptation phase) to four (in the last 5 months); the number of repetitions in unilateral and bilateral exercises was respectively 30 (performed alternately) and 20; patients had the opportunity to increase the load (dumbbells weight) depending on local muscle fatigue. One agility/balance exercise was performed in each session (traditional games or small-sided games), during 10 min. In the last part of the session, patients performed 5 min of static (15 s in each position) and dynamic (10 repetitions) stretches, with the support of chairs.

To induce stimuli variability, five different exercise sessions were successively applied over time, each of them with different aerobic, resistance and agility/balance exercises. All exercise sessions were supervised by an exercise professional and a nurse, and were planned to have moderate intensity (12–13 points on Borg rating of perceived exertion scale with 6–20 points). In the end of each session, participants were asked to rate and register perceived exercise intensity. Participants’ attendance was also registered.

Food education sessions

Patients in the EXFE group received the same exercise intervention (‘Diabetes em Movimento’ exercise programme), as those in the EX group, plus concomitant food education sessions during 16 weeks (Fig. 1), based on American Diabetes Association (ADA) recommendations for dietary intakeReference Evert, Boucher and Cypress25, and International Diabetes Federation (IDF) nutrition teaching modules26. On each week, a different nutrition-related content (Table 1) was addressed by an exercise professional with professional qualification in the area of Nutrition through two sessions: (1) a theoretical session of 15 min performed through an interactive teaching method before one exercise session (instructing participants in a way they are actively involved with their learning process) and (2) dual-task strategies integrated in another exercise session (during aerobic exercise (brisk walking), patients had to interpret food labels or to give individual or group answers to nutritional questions through a traffic light system or multiple choice answer). Overall, guidance was given on how many portions of each food group to choose and participants were encouraged to eat foods with low glycaemic index and load, to avoid added sugars, to increase fruit, vegetables and soup consumption and to reduce fat, alcohol and salt intake. To favour changes in dietary habits, three behavioural change techniques were used: pros and cons, information about health consequences and instructions on how to strengthen behaviour change.

Fig. 1. Food education sessions and exercise programme timeline.

Table 1. Contents of food education sessions

Evaluations

Glycaemic control, through HbA1c, was assessed by a fasting (minimum of 8 h) venous blood analysis according to standard international laboratory methods. BMI was calculated by measuring body mass (kg) and height (m) (BMI = mass/heightReference Chatterjee, Khunti and Davies2) using a digital weight scale (SECA 778, SECA Corporation, Hamburg, Germany) with a stadiometer (SECA 220, SECA Corporation, Hamburg, Germany). WC was determined using an anthropometric tape at the umbilical reference (SECA 201, SECA Corporation, Hamburg, Germany). FM was assessed with bioelectrical impedance analysis (Tanita, BC-418 MA) after an overnight fast. Blood pressure (SBP and DBP) was measured with participants seated after a 10-min rest, by an automatic digital blood pressure device (BP-8800, Colin Corporation, Komaki, Japan), according to international recommendationsReference Stergiou, Palatini and Asmar27. Three blood pressure measurements were performed and the average was used as the measured value.

Data analysis

Data are presented as mean ± standard deviation (sd) for continuous variables and as proportions (number and percentage) for categorical variables.

χ 2 test was used to compare differences in proportions of HbA1c, BMI and WC within groups.

To compare the time × group interaction effects on HbA1c, BMI, FM, WC, SBP and DBP, an analysis of variance (ANOVA) with repeated measures was performed. Partial etaReference Chatterjee, Khunti and Davies2 values $( {\eta_{\rm p}^2 } )$ were reported to quantify the effect sizes. For all analyses, a level of statistical significance was defined as P < 0⋅05.

Results

Programme implementation

From the individuals initially selected, 37 % refused to participate in the study, indicating transportation barriers or unsuitable schedule as reasons. Thus, forty-two participants were randomised and evaluated (twenty-three in the EXFE group and nineteen in the EX group). Prior to the start of the intervention, five participants dropped out (two in the EXFE group (unsuitable schedule, n = 1, transportation barriers, n = 1) and three in the EX group (health problems, n = 1, unsuitable schedule, n = 2)). Other dropout in the EXFE group was verified during the intervention due to transportation barriers (n = 1). Three patients were excluded from final analysis (two in the EXFE group and one in the EX group) because of hospitalisation due to surgery. In final analysis, eighteen patients from the EXFE group and fifteen patients from the EX group were included (Fig. 2).

Fig. 2. Participants’ flowchart.

Attendance to exercise sessions, expressed as the proportion of sessions attended, was 60⋅9 ± 25⋅0 % (ranging from 13⋅9 to 94⋅4 %) in the EXFE group and 52⋅9 ± 30⋅2 % (ranging from 3⋅7 to 98⋅2 %) in the EX group (P = 0⋅414). Attendance to food education sessions (EXFE group), expressed as the proportion of sessions attended, was 49⋅5 ± 27⋅2 % (ranging from 2⋅9 to 85⋅3 %).

Participants’ characteristics

The mean age of the thirty-three participants (fourteen females) was 65⋅4 ± 5⋅9 years old. Participants had T2D diagnosed at 6⋅8 ± 5⋅2 years. Final sample characteristics are presented in Table 2.

Table 2. Characteristics of the study participants according to lifestyle intervention programme

EX, Exercise; EXFE, Exercise plus food education.

a More than two standard alcoholic drinks per day.

Outcomes

The mean values of HbA1c, BMI, WC, FM, SBP and DBP in the two evaluation moments in both groups are presented in Table 3.

Table 3. Mean values (±standard deviation) of glycaemic control and cardiovascular risk factors in the two evaluation moments in both groups

EX, exercise; EXFE, exercise plus food education; Δ, variation between baseline and 9 months; pa, level of significance of the within-group differences; pb, level of significance of the time * group interaction effect; $\eta _{\rm p}^2$, partial eta squared of the time * group interaction effect.

In the EX group, no significant differences were found in each one of the study variables (HbA1c, BMI, FM, WC, SBP and DBP) between the baseline evaluation and 9-month evaluation. The within-group comparison for EXFE group showed significant differences between the baseline evaluation and 9-month evaluation for BMI (P = 0⋅001), FM (P = 0⋅000) and SBP (P = 0⋅005). For HbA1c, WC and DBP, no significant differences were observed.

A significant time * group interaction effect was identified for BMI and FM, with better improvements in the EXFE group. For HbA1c, WC, SBP and DBP, no significant differences were observed between groups.

In Table 4, it was presented complementary data from cardiovascular risk factors in the two evaluation moments in both groups.

Table 4. Complementary data from cardiovascular risk factors in the two evaluation moments in both groups

EX, exercise; EXFE, exercise plus food education; Δ, variation between baseline and 9 months; p, level of significance of the proportions’ comparison using χ 2 test.

The proportion of participants that had glycated haemoglobin >6⋅5 % before and after the 9-month intervention remains the same in the EX group (P = 0⋅837). In the EXFE group, it was noticed a decrease of 10 % despite non-significant results (P = 0⋅494).

Compared with baseline values, the proportion of participants that had BMI >30 kg/m2 at 9 months decreased both in the EX and EXFE groups, with a higher reduction in the EXFE group (11⋅1 %; (P = 0⋅502) v. 6⋅6 %; (P = 0⋅705)).

The proportion of men and women that had abdominal obesity >94 and >80 cm before and after 9-month intervention remains the same both in the EX and EXFE groups (P = 1⋅000).

Discussion

Food education sessions added benefits to an exercise programme in the control of BMI and FM. Diet and physical activity are two lifestyle factors that contribute to the prevention of cardiovascular diseases in individuals with T2DReference Kolb and Martin28 and the results of the present study show the value of combining both.

The efficacy of the exercise programme used in our trial (‘Diabetes em Movimento’) in cardiovascular risk factors in patients with T2D has been already demonstrated by Mendes et al. Reference Mendes, Sousa and Reis22. However, it must be stressed that regarding exercise programme attendance, the study of Mendes et al. Reference Mendes, Sousa and Reis22 used a per-protocol analysis in which attendance to the exercise sessions <65 % was considered an exclusion criteria, which led to higher mean exercise attendance values compared with our trial (80⋅17 ± 10⋅28 % v. 57⋅24 ± 27⋅34 %). In this regard, our study exhibits very heterogeneous values, with exercise attendance ranging from 3⋅7 to 98⋅2 %. The effects of exercise on cardiovascular disease and mortality risk seem to follow a linear dose-response relationReference Sluik, Buijsse and Muckelbauer29. Moreover, contrary to our trial, in the Mendes et al. studyReference Mendes, Sousa and Reis22, T2D patients performed a pre-participation treadmill stress test, which allowed the performance of vigorous-intensity exercise during the exercise programme (13⋅5 ± 1⋅4 points v. our study with 12⋅7 ± 0⋅8 points). Higher exercise intensities result in greater acute and chronic glycaemic control in T2D patientsReference Jelleyman, Yates and O'Donovan30Reference Mendes, Sousa and Themudo-Barata32. The fact that this exercise programme includes both aerobic and resistance exercise seems crucial for inducing benefits since isolated aerobic or resistance exercise effects on HbA1c are less pronounced than combined aerobic and resistance exerciseReference Pan, Ge and Xun33. A review of exercise prescription guidelines for patients with T2DReference Mendes, Sousa and Almeida17 pointed that, for the control of T2D and related cardiovascular risk, there is an international consensus for a combination of at least 150 min of moderate-to-vigorous-intensity aerobic exercise (minimum 3 d per week) and resistance exercise for major muscle groups (spread over at least 2 d a week). It is also recommended flexibility exercise as a complement of aerobic and resistance exercise. Besides, as the mean age of our sample was 65⋅4 ± 5⋅9 years old, these patients should perform agility/balance exercises to improve postural stability and reduce the risk of fallsReference Chodzko-Zajko, Proctor and Fiatarone Singh24, Reference Nelson, Rejeski and Blair34.

Regarding our dietary intervention, although individualised nutrition therapy was recommended for T2D patientsReference Evert, Boucher and Cypress25, logistic constraints related to a community-based lifestyle intervention programme made us choose food education sessions. These sessions were based on recommendations from ADA and IDFReference Evert, Boucher and Cypress25, 26. As lectures are considered the most effective strategy to transmit declarative knowledgeReference Charlton35 and attention declines with ageReference Lufi, Segev and Blum36, one of the teaching methods used in our study was short duration lectures (15 min each). Besides, dual-task problem-solving strategies were used to allow the reinforcement of the contents in the exercise sessions. This innovative method is also essential in the prevention of fallsReference Liebherr, Schubert and Schiebener37 and to prepare elderly for the dual-task activities of the daily life.

HbA1c is the gold standard indicator of long-term glycaemic controlReference Sato38. In line with the study of Giannopoulou et al. Reference Giannopoulou, Fernhall and Carhart16, our dietary intervention had no additional significant benefit to the exercise programme in HbA1c levels, although the EXFE group observed a higher decreased HbA1c levels. One possible reason for the non-significant results of our study was the fact that HbA1c baseline levels were near 7 %, making it more difficult to lower these values.

Obesity is strongly related to higher risk of cardiovascular disease incidence and mortalityReference Ortega, Lavie and Blair39. According to World Health Organization40 that classifies those with BMI ≥ 30 kg/m2 as obese, 57⋅5 % of our patients were obese at baseline evaluation. Behavioural modifications, such as the promotion of healthy eating and regular physical activity, are the core of obesity managementReference Kelley, Sbrocco and Sbrocco41. Although a meta-analysis of Norris et al. Reference Norris, Zhang and Avenell42 concluded that individuals with T2D had difficulties losing weight, in our trial the addition of food education sessions to an exercise programme succeeded in the decrease of BMI. The BMI is only a measure of weight relative to height and does not present information about FMReference Nuttall43. According to Zeng et al. Reference Zeng, Dong and Sun44, body FM is a better predictor of cardiovascular risk factors than BMI. It is common that patients with T2D had low basal fat oxidation and increased lipogenesis ratesReference Kelley and Mandarino45, which makes it difficult to lose fat. Nevertheless, our EXFE group significantly reduced FM when compared with the EX group. However, it is not only the total amount of fat, but also its location, that is relevant for cardiovascular diseaseReference Piche, Poirier and Lemieux46. In this regard, abdominal obesity has a contribution on cardiovascular disease that is independent of BMIReference Dale, Fatemifar and Palmer47. WC values provide a measure of both intra-abdominal and subcutaneous abdominal adipose tissueReference Klein, Allison and Heymsfield48. Body fat distribution is strongly determined by genetic factorsReference Pulit, Stoneman and Morris49. Effectively, several studies demonstrated that people do not lose fat in predetermined parts of the bodyReference Kostek, Pescatello and Seip50, Reference Ramirez-Campillo, Andrade and Campos-Jara51, which may justify the non-significant results between groups in WC in our study. The study of Giannopoulou et al. Reference Giannopoulou, Fernhall and Carhart16 showed no advantage of adding a dietary intervention to an exercise programme in the three outcomes related to body composition (BMI, FM and WC).

Hypertension, defined as SBP ≥ 140 mmHg and/or DBP ≥ 90 mmHg, is a high prevalent cardiovascular disease risk factorReference Pescatello, MacDonald and Lamberti52. The benefits of lowering blood pressure (BP) are related to the decrease of left ventricular mass and wall thickness, the reduction of arterial stiffness and improvement of endothelial functionReference Bacon, Sherwood and Hinderliter53. The main lifestyles interventions that are recommended to reduce BP is exercise, especially aerobic exerciseReference Cornelissen and Smart54, and the Dietary Approaches to Stop Hypertension dietReference Bacon, Sherwood and Hinderliter53. Our exercise programme matched with recommendations from American College of Sports Medicine for the management of hypertensionReference Pescatello, Franklin and Fagard55. Regarding the dietary intervention, there was no prescription of Dietary Approaches to Stop Hypertension diet, as it was based on food education sessions and our main goal was not just focused on the reduction of blood pressure. This last evidence potentially explains no additional benefit of our food education sessions to the exercise programme either on SBP or DBP. There are other studies that tested the same research design – the addition of nutrition education sessions to an exercise programme, although not in patients with T2D. These studiesReference Foster-Schubert, Alfano and Duggan56Reference Villareal, Chode and Parimi60 concluded that the addition of nutrition education sessions to an exercise programme in obese patients have led to significant improvements on weight loss, corroborating the results of our study.

The main limitation of the present study is related to its sample size. We were only able to enrol 25 % of the total number of patients needed according to sample size calculations. Insufficient sample size can explain the non-significant results in glycated haemoglobin and other endpoints, besides anthropometry and body composition.

According to Miller et al. Reference Miller, Nowson and Dunstan61, recruitment of participants into long-term community-based lifestyle interventions, particularly adults with a chronic disease, is often challenging. In our trial, we encountered this difficulty plus some dropouts and exclusions that did not allow a larger number of patients in final analysis neither a subgroup analysis. The level of attendance to lifestyle programmes was other problem faced by our team. Besides the low average attendance values of the exercise sessions, as discussed previously, food education sessions also had low average attendance values (49⋅5 ± 27⋅2 %, ranging from 2⋅9 to 85⋅3 %), which can, in part, explain the absence of additional benefits in HbA1c, WC and BP.

The nature of our dietary intervention (short education sessions that can probably be delivered even by non-specialized medical and other healthcare specialities) makes it feasible and realistic in many healthcare settings.

To the best of our knowledge, this is the first randomised parallel-group study that evaluates the impact of adding food education sessions to an exercise programme on cardiovascular risk factors in European patients with T2D. Moreover, 60 % of our patients were at least 65 years old. This is of crucial importance as, if not controlled, diabetes will lead to 70 % of deaths from cardiovascular disease in individuals of this ageReference Kannel and McGee4.

The present study highlights the importance of community-based lifestyle interventions as a complement of management of T2D in primary health careReference Brand, Pischke and Steenbock62. There is an urgent need for the implementation of this type of programmes combining exercise and food education sessions, and the application of effective strategies to increase patients’ motivation and attendance.

The addition of simple food-education dietary intervention to an exercise programme induced additional benefits on one cardiovascular risk factor, more specifically obesity, in middle-aged and older patients with T2D. The present study provides further support for the implementation of lifestyle intervention programmes for T2D patients in community settings combining exercise and nutrition education.

Acknowledgements

The authors acknowledge the support received from all institutions involved in the implementation of ‘Diabetes em Movimento’ Vila Real, as well as to acknowledge to all participants in this study.

This research received no specific grant from any funding agency, commercial or not-for-profit sectors.

Conceptualisation: C. V. and R. M.; Data Curation: C. V. and M. C.; Formal Analysis: C. V. and R. M.; Investigation: C. V. and R. M.; Methodology: C. V., M. C., E. R. and R. M.; Project Administration: R. M.; Resources: C. V. and R. M.; Supervision: E. R. and R. M.; Validation: M. C. and E. R.; Visualisation: C. V.; Writing-Original Draft: C. V.; Writing-Review and Editing: C. V., M. C., E. R. and R. M.

There are no conflicts of interest.

References

Danaei, G, Finucane, MM, Lu, Y, et al. (2011) National, regional, and global trends in fasting plasma glucose and diabetes prevalence since 1980: systematic analysis of health examination surveys and epidemiological studies with 370 country-years and 2.7 million participants. Lancet 378, 3140.CrossRefGoogle ScholarPubMed
Chatterjee, S, Khunti, K & Davies, MJ (2017) Type 2 diabetes. Lancet 389, 22392251.CrossRefGoogle ScholarPubMed
Einarson, TR, Acs, A & Ludwig, C (2018) Prevalence of cardiovascular disease in type 2 diabetes: a systematic literature review of scientific evidence from across the world in 2007–2017. Cardiovasc Diabetol 17, 83.CrossRefGoogle ScholarPubMed
Kannel, WB & McGee, DL (1979) Diabetes and cardiovascular disease. The Framingham study. JAMA 241, 20352038.CrossRefGoogle ScholarPubMed
Lanier, JB, Bury, DC & Richardson, SW (2016) Diet and physical activity for cardiovascular disease prevention. Am Fam Physician 93, 919924.Google ScholarPubMed
Hippisley-Cox, J & Coupland, C (2015) Development and validation of risk prediction equations to estimate future risk of heart failure in patients with diabetes: a prospective cohort study. BMJ Open 5, e008503.Google ScholarPubMed
Barreira, E, Novo, A, Vaz, JA, et al. (2018) Dietary program and physical activity impact on biochemical markers in patients with type 2 diabetes: a systematic review. Aten Primaria 50, 590610.CrossRefGoogle ScholarPubMed
Huang, XL, Pan, JH, Chen, D, et al. (2016) Efficacy of lifestyle interventions in patients with type 2 diabetes: a systematic review and meta-analysis. Eur J Intern Med 27, 3747.CrossRefGoogle ScholarPubMed
Chudyk, A & Petrella, RJ (2011) Effects of exercise on cardiovascular risk factors in type 2 diabetes: a meta-analysis. Diabetes Care 34, 12281237.CrossRefGoogle ScholarPubMed
Sigal, RJ, Kenny, GP, Boulé, NG, et al. (2007) Effects of aerobic training, resistance training, or both on glycemic control in type 2 diabetes: a randomized trial. Ann Intern Med 147, 357369.CrossRefGoogle ScholarPubMed
Sparks, LM, Johannsen, NM, Church, TS, et al. (2013) Nine months of combined training improves ex vivo skeletal muscle metabolism in individuals with type 2 diabetes. J Clin Endocrinol Metab 98, 16941702.CrossRefGoogle ScholarPubMed
Tan, S, Li, W & Wang, J (2012) Effects of six months of combined aerobic and resistance training for elderly patients with a long history of type 2 diabetes. J Sports Sci Med 11, 495501.Google ScholarPubMed
Otten, J, Stomby, A, Waling, M, et al. (2017) Benefits of a Paleolithic diet with and without supervised exercise on fat mass, insulin sensitivity, and glycemic control: a randomized controlled trial in individuals with type 2 diabetes. Diabetes Metab Res Rev 33, 10.CrossRefGoogle ScholarPubMed
Balducci, S, Zanuso, S, Nicolucci, A, et al. (2010) Italian Diabetes Exercise Study (IDES) Investigators. Effect of an intensive exercise intervention strategy on modifiable cardiovascular risk factors in subjects with type 2 diabetes mellitus: a randomized controlled trial: the Italian Diabetes and Exercise Study (IDES). Arch Intern Med 170, 17941803.CrossRefGoogle Scholar
Hayashino, Y, Jackson, JL, Fukumori, N, et al. (2012) Effects of supervised exercise on lipid profiles and blood pressure control in people with type 2 diabetes mellitus: a meta-analysis of randomized controlled trials. Diabetes Res Clin Pract 98, 349360.CrossRefGoogle ScholarPubMed
Giannopoulou, I, Fernhall, B, Carhart, R, et al. (2005) Effects of diet and/or exercise on the adipocytokine and inflammatory cytokine levels of postmenopausal women with type 2 diabetes. Metabolism 54, 866875.CrossRefGoogle ScholarPubMed
Mendes, R, Sousa, N, Almeida, A, et al. (2016) Exercise prescription for patients with type 2 diabetes – a synthesis of international recommendations: narrative review. Br J Sports Med 50, 13791381.CrossRefGoogle ScholarPubMed
American Diabetes Association (2019) 5. Lifestyle management: standards of medical care in diabetes - 2019. Diabetes Care 42, S46S60.CrossRefGoogle Scholar
Colberg, SR, Sigal, RJ, Yardley, JE, et al. (2016) Physical activity/exercise and diabetes: a position statement of the American Diabetes Association. Diabetes Care 39, 20652079.CrossRefGoogle ScholarPubMed
Hendrie, GA, Coveney, J & Cox, D (2008) Exploring nutrition knowledge and the demographic variation in knowledge levels in an Australian community sample. Public Health Nutr 11, 13651371.CrossRefGoogle Scholar
Vasconcelos, C, Cabral, M, Ramos, E, et al. (2021) The impact of a community-based food education programme on dietary pattern in patients with type 2 diabetes: results of a pilot randomised controlled trial in Portugal. Health Soc Care Community. Online ahead of print.CrossRefGoogle ScholarPubMed
Mendes, R, Sousa, N, Reis, VM, et al. (2017) Implementing low-cost, community-based exercise programs for middle-aged and older patients with type 2 diabetes: what are the benefits for glycemic control and cardiovascular risk? Int J Environ Res Public Health 14, 1057.CrossRefGoogle ScholarPubMed
Mendes, R, Sousa, N, Themudo-Barata, J, et al. (2016) Impact of a community-based exercise programme on physical fitness in middle-aged and older patients with type 2 diabetes. Gac Sanit 30, 215220.CrossRefGoogle ScholarPubMed
Chodzko-Zajko, WJ, Proctor, DN, Fiatarone Singh, MA, et al. (2009) American College of Sports Medicine position stand. Exercise and physical activity for older adults. Med Sci Sports Exerc 41, 15101530.CrossRefGoogle ScholarPubMed
Evert, AB, Boucher, JL, Cypress, M, et al. (2014) Nutrition therapy recommendations for the management of adults with diabetes. Diabetes Care 37, S120S143.CrossRefGoogle ScholarPubMed
International Diabetes Federation (2011) Diabetes education modules. International Diabetes Federation.Google Scholar
Stergiou, GS, Palatini, P, Asmar, R, et al. (2019) Recommendations and Practical Guidance for performing and reporting validation studies according to the Universal Standard for the validation of blood pressure measuring devices by the Association for the Advancement of Medical Instrumentation/European Society of Hypertension/International Organization for Standardization (AAMI/ESH/ISO). J Hypertens 37, 459466.CrossRefGoogle Scholar
Kolb, H & Martin, S (2017) Environmental/lifestyle factors in the pathogenesis and prevention of type 2 diabetes. BMC Med 15, 131.CrossRefGoogle ScholarPubMed
Sluik, D, Buijsse, B, Muckelbauer, R, et al. (2012) Physical activity and mortality in individuals with diabetes mellitus: a prospective study and meta-analysis. Arch Intern Med 172, 12851295.CrossRefGoogle ScholarPubMed
Jelleyman, C, Yates, T, O'Donovan, G, et al. (2015) The effects of high-intensity interval training on glucose regulation and insulin resistance: a meta-analysis. Obes Rev 16, 942961.CrossRefGoogle ScholarPubMed
Liubaoerjijin, Y, Terada, T, Fletcher, K, et al. (2016) Effect of aerobic exercise intensity on glycemic control in type 2 diabetes: a meta-analysis of head-to-head randomized trials. Acta Diabetol 53, 769781.CrossRefGoogle ScholarPubMed
Mendes, R, Sousa, N, Themudo-Barata, JL, et al. (2019) High-intensity interval training versus moderate-intensity continuous training in middle-aged and older patients with type 2 diabetes: a randomized controlled crossover trial of the acute effects of treadmill walking on glycemic control. Int J Environ Res Public Health 16, 4163.CrossRefGoogle ScholarPubMed
Pan, B, Ge, L, Xun, YQ, et al. (2018) Exercise training modalities in patients with type 2 diabetes mellitus: a systematic review and network meta-analysis. Int J Behav Nutr Phys Act 15, 72.CrossRefGoogle ScholarPubMed
Nelson, ME, Rejeski, WJ, Blair, SN, et al. (2007) Physical activity and public health in older adults: recommendation from the American College of Sports Medicine and the American Heart Association. Med Sci Sports Exerc 39, 14351445.CrossRefGoogle ScholarPubMed
Charlton, BG (2006) Lectures are such an effective teaching method because they exploit evolved human psychology to improve learning. Med Hypotheses 67, 12611265.CrossRefGoogle ScholarPubMed
Lufi, D, Segev, S, Blum, A, et al. (2015) The effect of age on attention level: a comparison of two age groups. Int J Aging Hum Dev 81, 176188.CrossRefGoogle ScholarPubMed
Liebherr, M, Schubert, P, Schiebener, J, et al. (2016) Dual-tasking and aging – about multiple perspectives and possible implementations in interventions for the elderly. Cogent Psychol 3, 1261440.CrossRefGoogle Scholar
Sato, A (2014) [Indicators of glycemic control –hemoglobin A1c (HbA1c), glycated albumin (GA), and 1,5-anhydroglucitol (1,5-AG)]. Rinsho Byori 62, 4552.Google Scholar
Ortega, FB, Lavie, CJ & Blair, SN (2016) Obesity and cardiovascular disease. Circ Res 118, 17521770.CrossRefGoogle ScholarPubMed
WHO. Obesity and overweight: fact sheet 2018 (updated 16 February 2018). Available at www.who.int/mediacentre/factsheets/fs311/en/.Google Scholar
Kelley, CP, Sbrocco, G & Sbrocco, T (2016) Behavioral modification for the management of obesity. Prim Care 43, 159175.CrossRefGoogle ScholarPubMed
Norris, SL, Zhang, X, Avenell, A, et al. (2004) Long-term effectiveness of lifestyle and behavioral weight loss interventions in adults with type 2 diabetes: a meta-analysis. Am J Med 117, 762774.CrossRefGoogle ScholarPubMed
Nuttall, FQ (2015) Body mass index: obesity, BMI, and health: a critical review. Nutr Today 50, 117128.CrossRefGoogle ScholarPubMed
Zeng, Q, Dong, SY, Sun, XN, et al. (2012) Percent body fat is a better predictor of cardiovascular risk factors than body mass index. Braz J Med Biol Res 45, 591600.CrossRefGoogle ScholarPubMed
Kelley, DE & Mandarino, LJ (2000) Fuel selection in human skeletal muscle in insulin resistance: a reexamination. Diabetes 49, 677683.CrossRefGoogle ScholarPubMed
Piche, ME, Poirier, P, Lemieux, I, et al. (2018) Overview of epidemiology and contribution of obesity and body fat distribution to cardiovascular disease: an update. Prog Cardiovasc Dis 61, 103113.CrossRefGoogle ScholarPubMed
Dale, CE, Fatemifar, G, Palmer, TM, et al. (2017) Causal associations of adiposity and body fat distribution with coronary heart disease, stroke subtypes, and type 2 diabetes mellitus: a Mendelian Randomization Analysis. Circulation 135, 23732388.CrossRefGoogle ScholarPubMed
Klein, S, Allison, DB, Heymsfield, SB, et al. (2007) Waist circumference and cardiometabolic risk: a consensus statement from shaping America's health: Association for Weight Management and Obesity Prevention; NAASO, the Obesity Society; the American Society for Nutrition; and the American Diabetes Association. Diabetes Care 30, 16471652.CrossRefGoogle Scholar
Pulit, SL, Stoneman, C, Morris, AP, et al. (2019) Meta-analysis of genome-wide association studies for body fat distribution in 694 649 individuals of European ancestry. Hum Mol Genet 28, 166174.CrossRefGoogle ScholarPubMed
Kostek, MA, Pescatello, LS, Seip, RL, et al. (2007) Subcutaneous fat alterations resulting from an upper-body resistance training program. Med Sci Sports Exerc 39, 11771185.CrossRefGoogle ScholarPubMed
Ramirez-Campillo, R, Andrade, DC, Campos-Jara, C, et al. (2013) Regional fat changes induced by localized muscle endurance resistance training. J Strength Cond Res 27, 22192224.CrossRefGoogle ScholarPubMed
Pescatello, LS, MacDonald, HV, Lamberti, L, et al. (2015) Exercise for hypertension: a prescription update integrating existing recommendations with emerging research. Curr Hypertens Rep 17, 87.CrossRefGoogle ScholarPubMed
Bacon, SL, Sherwood, A, Hinderliter, A, et al. (2004) Effects of exercise, diet and weight loss on high blood pressure. Sports Med 34, 307316.CrossRefGoogle ScholarPubMed
Cornelissen, VA & Smart, NA (2013) Exercise training for blood pressure: a systematic review and meta-analysis. J Am Heart Assoc 2, e004473.CrossRefGoogle ScholarPubMed
Pescatello, LS, Franklin, BA, Fagard, R, et al. (2004) American College of Sports Medicine position stand. Exercise and hypertension. Med Sci Sports Exerc 36, 533553.CrossRefGoogle ScholarPubMed
Foster-Schubert, KE, Alfano, CM, Duggan, CR, et al. (2012) Effect of diet and exercise, alone or combined, on weight and body composition in overweight-to-obese postmenopausal women. Obesity 20, 16281638.CrossRefGoogle ScholarPubMed
Rejeski, WJ, Brubaker, PH, Goff, DC Jr, et al. (2011) Translating weight loss and physical activity programs into the community to preserve mobility in older, obese adults in poor cardiovascular health. Arch Intern Med 171, 880886.CrossRefGoogle ScholarPubMed
Bertz, F, Brekke, HK, Ellegard, L, et al. (2012) Diet and exercise weight-loss trial in lactating overweight and obese women. Am J Clin Nutr 96, 698705.CrossRefGoogle ScholarPubMed
Skender, ML, Goodrick, GK, Del Junco, DJ, et al. (1996) Comparison of 2-year weight loss trends in behavioral treatments of obesity: diet, exercise, and combination interventions. J Am Diet Assoc 96, 342346.CrossRefGoogle ScholarPubMed
Villareal, DT, Chode, S, Parimi, N, et al. (2011) Weight loss, exercise, or both and physical function in obese older adults. N Engl J Med 364, 12181229.CrossRefGoogle ScholarPubMed
Miller, EG, Nowson, CA, Dunstan, DW, et al. (2016) Recruitment of older adults with type 2 diabetes into a community-based exercise and nutrition randomised controlled trial. Trials 17, 467.CrossRefGoogle ScholarPubMed
Brand, T, Pischke, CR, Steenbock, B, et al. (2014) What works in community-based interventions promoting physical activity and healthy eating? A review of reviews. Int J Environ Res Public Health 11, 58665888.CrossRefGoogle ScholarPubMed
Figure 0

Fig. 1. Food education sessions and exercise programme timeline.

Figure 1

Table 1. Contents of food education sessions

Figure 2

Fig. 2. Participants’ flowchart.

Figure 3

Table 2. Characteristics of the study participants according to lifestyle intervention programme

Figure 4

Table 3. Mean values (±standard deviation) of glycaemic control and cardiovascular risk factors in the two evaluation moments in both groups

Figure 5

Table 4. Complementary data from cardiovascular risk factors in the two evaluation moments in both groups