Introduction
Climate change and global warming are serious threats to people and environment. The whole food system and especially red meat production is a considerable strain on the environment [
1,
2]. Consequently, many positive effects on the environment may be achieved by replacing animal-based protein with plant-based protein, such as legumes, in diets [
3]. In addition, high red and processed meat consumption has been associated with many adverse health outcomes [
4,
5], whereas legume consumption with positive health outcomes [
4,
6]. Sustainable diets have become an important theme in the recently published nutrition recommendations and food-based dietary guidelines, such as the Planetary Health Diet [
7], Danish Nutrition Recommendations [
8] and upcoming Nordic Nutrition Recommendations 2022 [
9]. In the latest Finnish national dietary survey, most adults did not meet the recommendation for fruits and vegetables, and men consumed much more red and processed meat as recommended [
10]. In addition, the consumption of legumes was low, only 12–13 g/d [
11].
One important set of factors influencing food selection are food motives [
12]. Based on the previous literature, taste/sensory appeal, price, convenience and health are the most important food motives for consumers [
13‐
15]. Most previous studies have focused on the absolute importance of food motives. In the present study, we analyzed the relative importance because individuals often have to prioritize motives when making food choices [
16]. Even if the absolute importance of food motive would be fairly high, its relative importance can be low, and thus, have only little effect on the decision [
17]. In two Finnish studies, health, pleasure/sensory appeal, convenience and price were relatively the most valued food motives [
18,
19].
The current evidence on the associations of food motives with red and processed meat and legume consumption is scarce. Only a few studies have investigated specifically the consumption of legumes [
20,
21] or red meat [
14,
15,
21] and absolute food motives and none have studied processed meat and food motives. In these studies, higher absolute importance of natural content/concerns, health, ethical concern and weight control were associated with lower red meat [
14,
20,
21] and higher legume consumption [
20,
21], and higher absolute appreciation of convenience with higher red meat [
15] and lower legume consumption [
21]. In other previous studies, red and processed meat and legume consumption have been a part of either specific dietary pattern (e.g., western dietary pattern) [
22] or special diet [
19], and therefore it cannot be concluded that food motives were specifically associated with red and processed meat or legumes. Moreover, there is a clear gap of information whether these associations between food motives and red and processed meat and legume consumption vary between different subgroups (e.g., gender, age groups, marital status, education level, BMI). This knowledge is needed to design more tailored and effective interventions to increase the sustainability and healthiness of diets in different population groups.
Our aim was to examine how the relative importance of ten food motives (health, mood, convenience, sensory appeal, natural content, price-cheap, price-value, weight control, familiarity and ethical concern) were associated with red meat and legume consumption in Finnish adults, and whether these associations varied between different subgroups (i.e., gender, age groups, marital status, education level, BMI). In this study, the term “red meat” consisted of red and processed meat.
Results
As shown in Table
1, slightly higher percentage of participants were women (54%). Participants were on average 60 years old (SD 12.9), average education was 13 years (SD 3.9) and a large proportion was married/cohabiting (74%). Mean BMI was 26.8 kg/m
2 (SD 4.6) and participants with obesity (BMI ≥ 30 kg/m
2) represented a fifth of the sample.
Table 1
Descriptive characteristics of study participants (n = 3079)
Women, % | 54.3 |
Age (y), mean (SD) | 59.5 (12.9) |
Age groupsa, % |
31–53 | 33.5 |
54–66 | 33.6 |
67–82 | 32.9 |
Education (y), mean (SD) | 12.9 (3.9) |
Education groupsb, % |
Low education | 26.5 |
Middle education | 34.8 |
High education | 38.7 |
Married/cohabiting, % | 73.5 |
BMI (kg/m2), mean (SD) | 26.8 (4.6) |
Participants with obesity (BMI ≥ 30), % | 19.9 |
Men consumed more red meat (includes also processed meat) than women (p < 0.001) and the difference between genders was moderate in size (Partial Eta
2 = 0.099) (Table
2). Mean consumption of red meat was 165 g/d (SD = 104.2) (19.7 g/MJ) for men and 104 g/d (SD = 78.3) (12.4 g/MJ) for women. Between age groups, there were no statistically significant difference in red meat consumption. In the youngest age group, the red meat consumption was 137 g/d (SD = 95.9) (16.4 g/MJ), in the middle group 130 g/d (SD = 91.4) (15.5 g/MJ) and in the oldest group 129 g/d (SD = 100.2) (15.4 g/MJ). Married/cohabiting participants consumed more red meat than other participants (p = 0.000) and the difference was small in size (Partial Eta
2 = 0.016) (Supplementary Table 1). Mean consumption of red meat was 137 g/d (SD = 96.2) (16.4 g/MJ) for married/cohabiting participants and 117 g/d (SD = 93.9) (14.0 g/MJ) for other participants. Participants with the lowest education consumed more red meat than participants with higher education (p = 0.000) but the difference was very small in size (Partial Eta
2 = 0.006). Mean consumption of red meat was 143 g/d (SD = 111.8) (17.1 g/MJ) for participants with the lowest education, 134 g/d (SD = 95.4) (16.0 g/MJ) for those with the middle education and 123 g/d (SD = 83.4) (14.7 g/MJ) for those with the highest education. Participants with obesity consumed more red meat than those without obesity (p < 0.001) but the difference was very small in size (Partial Eta
2 = 0.004) (Supplementary Table 2). Mean consumption of red meat was 128 g/d (SD = 92.5) (15.3. g/MJ) for participants without obesity and 145 g/d (SD = 108.1) (17.3 g/MJ) for participants with obesity. Men consumed legumes more than women (p = 0.015) but the size of the difference between genders was very small (Partial Eta
2 = 0.002). Mean consumption of legumes was 17 g/d (SD = 16.8) (2.0 g/MJ) for men and 15 g/d (SD = 16.7) (1.8 g/MJ) for women. The oldest age group (67–82 y) consumed the most legumes compared to other age groups (p < 0.007) but the difference between groups was very small in size (Partial Eta
2 = 0.003). The oldest age group consumed legumes on average 17 g/d (SD = 19.6) (2.0 g/MJ) and the younger age groups 15–16 g/d (SD = 14.7, SD = 15.7) (1.8 g/MJ and 1.9 g/MJ). There was no statistically significant difference between married/cohabiting participants’ and other participants’ legume consumption. Mean legume consumption was 16 g/day (SD = 16.6) (1.9 g/MJ) for married/cohabiting participants and 16 g/d (SD = 17.4) (1.9 g/MJ) for other participants. No statistically significant difference between education groups was observed in legume consumption. Mean legume consumption was 16 g/d (SD = 18.9) (1.9 g/MJ) for participants with the lowest education, 15 g/d (SD = 14.1) (1.8 g/MJ) for those with the middle education and 17 g/d (SD = 17.5) (2.0 g/MJ) for those with the highest education. There was no statistically significant difference between participants with and without obesity in legume consumption. Mean legume consumption was 16 g/d (SD = 16.1) (1.9 g/MJ) for participants without obesity and 17 g/d (SD = 19.6) (2.0 g/MJ) for participants with obesity.
Table 2
Mean consumption of red meat and legumes and relative food motive mean scores by gender and different age groups
Red meat consumptionc (g/d) | 104 | 78.3 | 165 | 104.2 | < 0.001f | 0.099 | 137 | 95.9 | 130 | 91.4 | 129 | 100.2 | 0.127g | 0.001 |
Legume consumptiond (g/d) | 15 | 16.7 | 17 | 16.8 | 0.015g | 0.002 | 15 | 14.7 | 16 | 15.7 | 17 | 19.6 | 0.007f | 0.003 |
Energy intake (kJ) | 8862 | 3154 | 10,867 | 3920 | 0.000g | 0.074 | 9521 | 3484 | 9766 | 3587 | 10 051 | 3894 | 0.005g | 0.003 |
Food motivee |
Health | 1.08 | 0.11 | 1.07 | 0.13 | 0.002f | 0.003 | 1.06 | 0.13 | 1.07 | 0.11 | 1.08 | 0.11 | < 0.001f | 0.006 |
Mood | 0.98 | 0.15 | 0.97 | 0.16 | 0.071f | 0.001 | 1.00 | 0.16 | 0.98 | 0.15 | 0.96 | 0.15 | < 0.001g | 0.013 |
Convenience | 0.99 | 0.21 | 0.98 | 0.21 | 0.321g | 0.000 | 1.06 | 0.22 | 0.97 | 0.21 | 0.94 | 0.18 | < 0.001f | 0.058 |
Sensory appeal | 1.12 | 0.16 | 1.13 | 0.18 | 0.167f | 0.001 | 1.18 | 0.19 | 1.11 | 0.17 | 1.08 | 0.15 | < 0.001f | 0.054 |
Natural content | 1.02 | 0.20 | 1.00 | 0.21 | < 0.001f | 0.004 | 0.97 | 0.23 | 1.03 | 0.20 | 1.04 | 0.18 | < 0.001f | 0.017 |
Price-cheap | 1.01 | 0.24 | 1.03 | 0.26 | 0.010f | 0.002 | 1.02 | 0.27 | 1.02 | 0.25 | 1.01 | 0.23 | 0.557f | 0.000 |
Price-value | 1.16 | 0.19 | 1.22 | 0.22 | < 0.001f | 0.022 | 1.22 | 0.23 | 1.18 | 0.20 | 1.16 | 0.19 | < 0.001f | 0.017 |
Weight control | 0.98 | 0.17 | 0.94 | 0.19 | < 0.001f | 0.007 | 0.94 | 0.19 | 0.98 | 0.18 | 0.96 | 0.17 | < 0.001f | 0.010 |
Familiarity | 0.84 | 0.23 | 0.92 | 0.23 | < 0.001g | 0.030 | 0.85 | 0.25 | 0.87 | 0.22 | 0.92 | 0.21 | < 0.001f | 0.014 |
Ethical concern | 0.90 | 0.14 | 0.89 | 0.16 | 0.608f | 0.000 | 0.85 | 0.16 | 0.90 | 0.14 | 0.94 | 0.13 | < 0.001f | 0.058 |
Of the food motives, the highest relative importance was for price-value, sensory appeal and health and the lowest for weight control, ethical concern and familiarity (Table
2). In general, there were many statistically significant differences between men and women, but the most prominent differences were for price-value (Partial Eta
2 = 0.022) and for familiarity (Partial Eta
2 = 0.030) even though the effect sizes were small. Men appreciated more price-value and familiarity than women. Many statistically significant differences were also observed between age groups, but the most notable differences (small to moderate in size) were for convenience (Partial Eta
2 = 0.058), ethical concern (Partial Eta
2 = 0.058) and sensory appeal (Partial Eta
2 = 0.054). Convenience and sensory appeal were the most important to the youngest age group (31–53 y) and ethical concern to the oldest age group (67–82 y).
In the multivariable linear regression models, higher importance of health (std. β = − 0.052, p < 0.001), natural content (std. β = − 0.071, p < 0.001) and ethical concern (std. β = − 0.088, p < 0.001) were associated with lower consumption of red meat (Table
3). In contrast, higher importance of mood (std. β = 0.039, p = 0.009), convenience (std. β = 0.042, p = 0.006), sensory appeal (std. β = 0.106, p < 0.001), price-cheap (std. β = 0.061, p < 0.001) and price-value (std. β = 0.035, p = 0.020) were associated with higher red meat consumption. The size of the association between food motives and red meat consumption was the most prominent, but small, for sensory appeal, natural content, price-cheap and ethical concern.
Table 3
Associations between relative food motives and red meat and legume consumption in linear regression models
Health |
Model 1 | − 0.601 | − 0.835; − 0.366 | − 0.090 | < 0.001 | 0.564 | 0.344; 0.793 | 0.087 | < 0.001 |
Model 2 | − 0.347 | − 0.545; − 0.150 | − 0.052 | < 0.001 | 0.608 | 0.390; 0.825 | 0.093 | < 0.001 |
Mood |
Model 1 | 0.375 | 0.196; 0.554 | 0.074 | < 0.001 | 0.209 | 0.034; 0.384 | 0.042 | 0.019 |
Model 2 | 0.198 | 0.049; 0.347 | 0.039 | 0.009 | 0.087 | − 0.078; 0.252 | 0.017 | 0.302 |
Convenience |
Model 1 | 0.118 | − 0.013; 0.248 | 0.032 | 0.077 | − 0.433 | − 0.559; − 0.307 | − 0.120 | < 0.001 |
Model 2 | 0.156 | 0.045; 0.266 | 0.042 | 0.006 | − 0.401 | − 0.522; − 0.279 | − 0.112 | < 0.001 |
Sensory appeal |
Model 1 | 0.487 | 0.328; 0.647 | 0.107 | < 0.001 | − 0.196 | − 0.352; − 0.040 | − 0.044 | 0.014 |
Model 2 | 0.482 | 0.347; 0.616 | 0.106 | < 0.001 | − 0.141 | − 0.290; 0.009 | − 0.032 | 0.065 |
Natural content |
Model 1 | − 0.412 | − 0.547; − 0,277 | − 0.107 | < 0.001 | 0.145 | 0.012; 0.277 | 0.039 | 0.032 |
Model 2 | − 0.275 | − 0.388; − 0.162 | − 0.071 | < 0.001 | 0.181 | 0.056; 0.307 | 0.048 | 0.005 |
Price-cheap |
Model 1 | 0.264 | 0.155; 0.374 | 0.085 | < 0.001 | − 0.076 | − 0.184; 0.031 | − 0.025 | 0.162 |
Model 2 | 0.190 | 0.099; 0.281 | 0.061 | < 0.001 | − 0.087 | − 0.188; 0.014 | − 0.029 | 0.090 |
Price-value |
Model 1 | 0.268 | 0.135; 0.400 | 0.071 | < 0.001 | − 0.275 | − 0.405; − 0.145 | − 0.075 | < 0.001 |
Model 2 | 0.132 | 0.021; 0.244 | 0.035 | 0.020 | − 0.257 | − 0.380; − 0.133 | − 0.070 | < 0.001 |
Weight control |
Model 1 | − 0.281 | − 0.435; − 0.127 | − 0.064 | < 0.001 | 0.075 | − 0.076; 0.226 | 0.018 | 0.328 |
Model 2 | − 0.064 | − 0.193; 0.065 | − 0.015 | 0.329 | 0.167 | 0.024; 0.309 | 0.039 | 0.022 |
Familiarity |
Model 1 | 0.353 | 0.233; 0.473 | 0.103 | < 0.001 | − 0.185 | − 0.302; − 0.067 | − 0.055 | 0.002 |
Model 2 | 0.080 | − 0.024; 0.184 | 0.023 | 0.134 | − 0.278 | − 0.393; − 0.164 | − 0.084 | < 0.001 |
Ethical concern |
Model 1 | − 0.444 | − 0,629; − 0.258 | − 0.084 | < 0.001 | 0.355 | 0.173; 0.536 | 0.069 | < 0.001 |
Model 2 | − 0.462 | − 0.620; − 0.305 | − 0.088 | < 0.001 | 0.278 | 0.103; 0.452 | 0.054 | 0.002 |
In the multivariable models, higher importance of health (std. β = 0.093, p < 0.001), natural content (std. β = 0.048, p = 0.005), weight control (std. β = 0.039, p = 0.022) and ethical concern (std. β = 0.054, p = 0.002) were associated with higher legume consumption. Conversely, higher importance of convenience (std. β = − 0.112, p < 0.001), price-value (std. β = − 0.070, p < 0.001) and familiarity (std. β = − 0.084, p < 0.001) were associated with lower consumption of legumes (Table
3). The size of the association between food motives and legume consumption was the most notable, but small, for health, convenience, price-value and familiarity.
We observed some differences between subgroups (i.e., gender, age groups, marital status, BMI) in the associations of food motives with red meat and legume consumption (Table
4). In women, higher importance of ethical concern was associated with higher legume consumption, but not in men. In the younger age groups (31–53 y, 54–66 y), higher importance of ethical concern was associated with lower red meat consumption and higher legume consumption, while in the oldest age group (67–82 y) the association was not significant. In the oldest age group, higher importance of weight control was associated with higher legume consumption, but in the younger age groups there were no significant associations. In participants who were married/cohabiting, higher appreciation of sensory appeal and lower appreciation of ethical concern were associated with higher red meat consumption. The results were similar in participants who were unmarried or did not live with a partner, but the associations were stronger. In those who were unmarried or did not live with a partner, higher appreciation of mood was associated with higher legume consumption, but not in married/cohabiting participants. In participants with obesity, lower red meat consumption was associated with higher importance of weight control, higher red meat consumption with greater importance of mood and higher legume consumption with higher appreciation of ethical concern. All other interactions for BMI, marital status, age groups and gender were statistically non-significant, and none of the interactions for education level was significant.
Table 4
Associations between relative food motives (predictors) and red meat and legume consumption (outcomes) by gender, age groups, marital status and BMI groups
Weight control |
Age groups |
31–53 y | − | − | − | 0.003 | − 0.213; 0.220 | 0.975 |
54–66 y | − | − | − | 0.174 | − 0.077; 0.426 | 0.174 |
67–82 y | − | − | − | 0.398 | 0.116; 0.680 | 0.006 |
Interaction termsd |
31–53 y | 0.220 | − 0.094; 0.535 | 0.169 | − 0.445 | − 0.792;− 0.098 | 0.012 |
54–66 y | 0.097 | − 0.231; 0.426 | 0.560 | − 0.246 | − 0.608; 0.116 | 0.184 |
67–82 y | Ref | | | Ref | | |
BMI groups |
BMI < 30 (kg/m2) | 0.044 | − 0.097; 0.185 | 0.545 | − | − | − |
BMI ≥ 30 (kg/m2) | − 0.355 | − 0.676; − 0.035 | 0.030 | − | − | − |
Interaction termd | − 0.420 | − 0.766; − 0.073 | 0.018 | 0.143 | − 0.238; 0.524 | 0.462 |
Ethical concern |
Gender |
Women | − | − | − | 0.472 | 0.224; 0.719 | < 0.001 |
Men | − | − | − | 0.105 | − 0.142; 0.351 | 0.405 |
Interaction termd | − 0.121 | − 0.425; 0.182 | 0.433 | 0.404 | 0.067; 0.740 | 0.019 |
Age groups |
31–53 y | − 0.745 | − 0.993;− 0.498 | < 0.001 | 0.469 | 0.214; 0.724 | < 0.001 |
54–66 y | − 0.351 | − 0.625;− 0.077 | 0.012 | 0.303 | 0.002; 0.603 | 0.048 |
67–82 y | − 0.134 | − 0.440; 0.173 | 0.392 | − 0.110 | − 0.479; 0.259 | 0.558 |
Interaction termsd |
31–53 y | − 0.586 | − 0.983;− 0.190 | 0.004 | 0.624 | 0.184; 1.064 | 0.005 |
54–66 y | − 0.245 | − 0.659; 0.169 | 0.247 | 0.388 | − 0.071; 0.848 | 0.098 |
67–82 y | Ref | | | Ref | | |
Marital status |
Married/cohabiting | − 0.320 | − 0.494;− 0.146 | < 0.001 | − | − | − |
Others | − 0.805 | − 1.146;− 0.465 | < 0.001 | − | − | − |
Interaction termd | − 0.421 | − 0.762;− 0.080 | 0.016 | − 0.134 | − 0.512; 0.245 | 0.489 |
BMI groups |
BMI < 30 (kg/m2) | − | − | − | 0.180 | − 0.013; 0.374 | 0.067 |
BMI ≥ 30 (kg/m2) | − | − | − | 0.631 | 0.229; 1.034 | 0.002 |
Interaction termd | 0.018 | − 0.370; 0.406 | 0.926 | 0.556 | 0.127; 0.984 | 0.011 |
Sensory appeal |
Marital status |
Married/cohabiting | 0.384 | 0.236; 0.532 | < 0.001 | − | − | − |
Others | 0.776 | 0.479; 1.073 | < 0.001 | − | − | − |
Interaction termd | 0.302 | 0.005; 0.599 | 0.046 | 0.155 | − 0.176; 0.485 | 0.359 |
Mood |
Marital status |
Married/cohabiting | − | − | − | − 0.044 | − 0.230; 0.143 | 0.645 |
Others | − | − | − | 0.456 | 0.110; 0.803 | 0.010 |
Interaction termd | − 0.239 | − 0.575; 0.097 | 0.163 | 0.485 | 0.114; 0.857 | 0.010 |
BMI groups | | | | | | |
BMI < 30 (kg/m2) | 0.133 | − 0.035; 0.300 | 0.120 | − | − | − |
BMI ≥ 30 (kg/m2) | 0.531 | 0.192; 0.869 | 0.002 | − | − | − |
Interaction termd | 0.419 | 0.045; 0.794 | 0.028 | − 0.289 | − 0.702; 0.124 | 0.170 |
Familiarity |
Marital status |
Married/cohabiting | 0.035 | − 0.079; 0.149 | 0.543 | − | − | − |
Others | 0.168 | − 0.066; 0.402 | 0.158 | − | − | − |
Interaction termd | 0.256 | 0.032; 0.479 | 0.025 | − 0.139 | − 0.385; 0.108 | 0.270 |
Discussion
The present study added knowledge on the associations between the relative importance of food motives, red meat (including also processed meat) and legume consumption across different subgroups (i.e., gender, age groups, marital status, education level, BMI). We found that participants who considered health, natural content and ethical concern more important consumed less red meat (Table
5). In contrast, participants who valued more mood, convenience, sensory appeal, price-cheap and price-value consumed more red meat. Previous studies have also associated lower red meat consumption with higher importance of health [
14,
22], natural content and ethical concern [
14], as well as with lower importance of convenience [
15,
20] and price [
20]. Regarding legume consumption, we found that those who valued more health, natural content, weight control and ethical concern consumed more legumes. On the contrary, participants who considered convenience, price-value and familiarity more important consumed less legumes. There are similar findings in earlier studies; higher importance of natural concerns, health and weight control were related to higher legume consumption and higher importance of convenience [
20] and price [
20,
22] were associated with lower legume consumption.
Table 5
Summary of the associations between food consumption and food motives in the present studya
Health | – | + * |
Mood | + | ns |
Convenience | + | –* |
Sensory appeal | + * | ns |
Natural content | –* | + |
Price-cheap | + * | ns |
Price-value | + | –* |
Weight control | ns | + |
Familiarity | ns | –* |
Ethical concern | –* | + |
The most notable associations (albeit still small) regarding red meat consumption when effect sizes were considered in our study, were for sensory appeal, natural content, price-cheap and ethical concern. Enjoying eating meat and not wanting to change food habits [
33] and disliking the taste of legumes [
34] are barriers for decreasing red meat consumption. This could explain why people who appreciated sensory appeal more had also higher red meat consumption in our study. Furthermore, it has been found that people tend to like the taste of foods that are familiar to them [
35]. Red meat is a staple food in Finnish diets whereas apart from green peas and pea soup legumes are not a major part of the Finnish food culture [
10,
11]. A previous American study found that about 40% of participants considered “clean” (e.g., eating foods without food additives) eating as healthy [
36]. This “clean” eating is related to the natural content motive of the FCQ, which has one question on food additives. Perhaps people who value more natural content consume less meat because especially processed meat can contain food additives. Participants with higher red meat consumption considered cheapness of food more important and further analyses revealed that the association concerned particularly processed meat. This could be explained by the fact that food cheapness is more important for people with lower socioeconomic position [
19] and in Finland, especially, people with low socioeconomic position consume more processed meat [
10]. Also, it was found that people who think that they have enough money compared to their necessities, have lower red and processed meat consumption [
37].
When effect sizes were considered, the most notable associations (albeit still small) regarding legume consumption were for health, convenience, price-value and familiarity. In a Mexican study, most of the participants considered legumes as healthy [
38]. Higher importance of health when legume consumption was higher might be linked to the perception of legumes as healthy. Lower importance of convenience and familiarity when legume consumption was higher could be related to experiences that preparing legumes takes more time than meat products [
34] and the recipes are not that familiar.
Most of the subgroup differences observed in the associations concerned ethical concern motive with the findings complementing the respective previous research conducted in the overall adult population [
14,
15]. In those who were not married or did not live with a partner, lower appreciation of ethical concern and higher appreciation of sensory appeal was associated with higher red meat consumption more strongly compared to those who were married or cohabiting. People who live alone can more easily follow their own motivation in food choices, whereas people who live with others must also consider what others prefer. In women, higher importance of ethical concern was associated with higher legume consumption, but not in men. Furthermore, higher importance of ethical concern was associated with lower red meat and higher legume consumption in the two youngest age groups, but not in the oldest one. One explanation could be that younger age groups and women have a better knowledge on the impact of red meat and legume consumption on environmental problems and climate change. Our findings yet suggest that actions aiming to increase legume consumption and decrease red meat consumption in older adults and men should probably focus more on other aspects than the ethicality of diet. In married and cohabiting individuals, strategies that take into account each household member’s food motives (and potential motivational differences between the members) could be effective. Finally, we noted that some food motives (i.e., weight control, mood and ethical concern) were related to red meat or legume consumption particularly in individuals with obesity potentially reflecting the interplay between motivational factors, weight gain and weight control attempts in the current food-rich environments.
The main strength of this study was the large population-based sample of Finnish adults. The validated methods [
13,
25,
26] of food consumption and food motives were also used. It has been shown that the FCQ is a valid method to assess food motives in different countries [
39]. Furthermore, we have shown earlier (DILGOM 2007) that food consumption was more strongly associated with the relative food motives than the absolute motives [
18].
Several limitations of this study need to be acknowledged. Even though the original sample was randomly selected from the Finnish population, there were non-participants through the studies and years. Individuals who participated in DILGOM 2014 were more likely to be older, women, have lower BMI and waist circumference and higher education than those who attended only DILGOM 2007 [
40]. Compared to the Finnish Population Data, the participants were more likely women and older, but their education level was similar [
41,
42]. The non-participation affects the generalizability of our results. It is likely that the participants of the present health-related study are more interested in their food consumption and health. The results could have been more prominent especially for the red meat consumption with more even gender distribution. One limitation that must be considered is that the data was collected in 2014. It is possible that food motives and related eating habits have changed during this time and especially during the COVID-19 pandemic [
43]. A few studies, however, suggest that the changes in food motives have been temporary and long-term effects cannot be determined yet [
44,
45]. In a Finnish study, most people reported that the pandemic did not change their eating habits [
46]. Another Finnish study conducted in 2018 reported similar observations on the relative importance of different food motives than in the present study using the same version of the FCQ [
19]. Therefore, we assume that the current findings could still be fairly relevant after the COVID-19 pandemic because it seems that at least permanent changes in food motives do not occur that quickly. The FFQ tends to overestimate food consumption compared to food records [
47], however, the FFQ is the primary method for large epidemiological studies. There can also be memory biases because the FFQ was filled retrospectively. Furthermore, people tend to overestimate their healthy food choices [
25], thus, the reported legume consumption could be higher than the actual consumption. The FCQ aims to assess motives that are associated with daily food choices, but it might not include all currently relevant motives, such as the importance of sustainability [
13]. Therefore, it could be useful to update some of the motive dimensions in the FCQ. We must also consider that even though individuals might appreciate certain food motives, these motives are not always reflected in their actual behaviour (representing the well-known attitude-behaviour gap). One further limitation is that the cross-sectional study design does not allow conclusions to be drawn on causality. However, as motivational factors are one important set of determinants of daily behaviour, it is reasonable to assume that food motives influence red meat and legume consumption.
This study provides new information on the links between various food motives and red meat and legume consumption. There are very few earlier studies concentrating on processed meat as well. An additional novel aspect of our study is that we identified certain differences between genders and age, marital status and BMI groups in these associations. We thus gained more elaborated knowledge, which can be useful for food industry, nutrition professionals and policy makers. Because taste was more important for those who consumed more red meat, it brings challenges for food manufacturers to produce tasty plant-based food for them. Moreover, familiarity was more important for those who consumed less legumes, thus, it would probably be useful to increase the familiarity of legume- and other plant-based products. It should though be noted that after the present study data from 2014, many plant-based products have been introduced to the market, and especially plant-based protein products have tried to mimic meat products as much as possible. The cheapness of food was more important for those with higher red meat consumption, which highlights the relevance of policy measures to increase the affordability of plant-based food products.
Lunch or work canteens potentially have an important role in increasing the familiarity and consumption of legumes [
47]. With the help of nutrition professionals, menus could have more plant-based products. For instance, part of the meat in familiar dishes could be replaced with legumes. Nutrition professionals should also focus on teaching people how to prepare legumes because inability to cook legumes and lack of knowledge on suitable recipes are common obstacles for legume consumption [
48,
49]. These kinds of strategies can eventually lead to more sustainable and healthy diets by enhancing the familiarity of legumes and people’s competence to prepare them.