| Literature DB >> 35926006 |
Ashutosh Kolte1, Yogesh Mahajan2, László Vasa3.
Abstract
This article tries to explore consumer attitudes regarding a balanced diet and daily calorie intake monitoring during the COVID-19 pandemic in India. It has become vital to boost people's immunity because of reoccurring diseases such as COVID-19, Ebola, and other chronic diseases such as diabetes, thyroid disease, etc. Healthy diets are important for supporting immune systems and keeping track of daily calorie consumption is an accompaniment to this. The research on attitudes toward a balanced diet is reviewed in this empirical study. Researchers employed a tri-component attitude model to assess consumer attitudes about a balanced diet and to track daily calorie consumption. A sample of 400 respondents was surveyed and data were collected with a structured questionnaire. The data were analysed using the structural equation modelling technique. The majority of respondents were found to lack declarative knowledge of both a balanced diet and daily calorie consumption. The effects of the COVID-19 pandemic on consumer attitudes about a healthy diet and daily calorie intake were effectively evaluated using beliefs, affection, and intentions. The repercussions for the government and business community were discussed. This study also evaluates the usefulness of the tri-component attitude model in the Indian context.Entities:
Mesh:
Year: 2022 PMID: 35926006 PMCID: PMC9352029 DOI: 10.1371/journal.pone.0270843
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.752
Fig 1Daily calorie intake.
Source: [7]. *Quantities not mentioned for some categories as data for some individual components was in terms of number of packets/cups etc.
Fig 2Daily food intake.
(Source: EAT-Lancet commission) (*olive, soybean, rapeseed, sunflower, and peanut oil) Note: Whole grains refer to rice, wheat and wheat products, millet and their products, cereal products refer to maida and other refined products from cereals, palm oil refers to vanaspati, unsaturated oils refer to sunflower, groundnut and refined vegetable oils, dairy fats refer to ghee and butter.
Fig 3Tri-component attitude model.
(Source: [28]).
Items of attitude.
| Items | Name |
|---|---|
| Consumption of a balanced diet is beneficial for good health | F1 |
| Monitoring daily calorie consumption is beneficial for good health | F2 |
| Consuming a balanced diet will reduce the threat of infection of COVID-19 | F3 |
| Monitoring daily calorie consumption will reduce the threat of infection of COVID-19 | F4 |
| Eating a balanced diet will make me feel happy | F5 |
| Monitoring daily calorie consumption will make me feel happy | F6 |
| I will become stronger by consuming a balanced diet | F7 |
| I will become stronger by monitoring my daily calorie intake | F8 |
| I will consume a balanced diet on daily basis due to the threat of the COVID-19 pandemic | F9 |
| I will monitor my daily calorie consumption due to the threat of the COVID-19 pandemic | F10 |
| I will recommend others to consume a balanced diet because of the COVID-19 pandemic | F11 |
| I will recommend others to monitor daily calorie intake because of the COVID-19 pandemic | F12 |
(Source: own development).
EFA results.
| Results of Exploratory Factor Analysis | |||||
|---|---|---|---|---|---|
| Latent Variables | Factors | Items Mean | Standard Deviation | Factor loadings | Reliability analysis (Cronbach’s alpha) |
|
| F1 | 3.415 | 0.863 | 0.984 | 0.85 |
| F2 | 3.257 | 1.157 | 0.983 | ||
|
| F3 | 1.603 | 0.729 | 0.865 | 0.78 |
| F4 | 1.605 | 0.732 | 0.855 | ||
| F5 | 1.972 | 0.908 | 0.572 | ||
| F6 | 1.61 | 0.738 | 0.535 | ||
| F7 | 1.762 | 0.792 | 0.523 | ||
| F8 | 1.69 | 0.721 | 0.572 | ||
|
| F9 | 1.758 | 0.013 | 0.892 | 0.82 |
| F10 | 1.758 | 0.752 | 0.892 | ||
| F11 | 2.575 | 0.843 | 0.574 | ||
| F12 | 1.667 | 0.709 | 0.549 | ||
(Source: own calculations).
CFA results.
| Model Fit Indices | |
|---|---|
| Measurement | Index |
| Sample size | 400 |
| Chi-Square (CMIN) | 45.942 |
| Degrees of freedom(df) | 32 |
| CMIN/df | 1.435 |
| Comparative fit index | 0.978 |
| Root mean square error of approximation (RMSEA) | 0.995 |
(Source: own calculations).
Fig 4SEM model.
(Source: own calculation).
Factor loadings.
| Factor loadings | ||||||
|---|---|---|---|---|---|---|
| Factor | Indicator | Estimate | Std. Error | z-value | p | Hypothesis |
|
| F1 | 0.83 | 0.044 | 18.884 | < .001 | Accept H1 |
| F2 | 1.16 | 0.059 | 19.641 | < .001 | Accept H2 | |
|
| F5 | 0.63 | 0.041 | 15.374 | < .001 | Accept H5 |
| F6 | 0.61 | 0.031 | 19.534 | < .001 | Accept H6 | |
| F7 | 0.66 | 0.033 | 20.165 | < .001 | Accept H7 | |
| F8 | 0.62 | 0.03 | 20.87 | < .001 | Accept H8 | |
| F4 | 0.48 | 0.034 | 14.151 | < .001 | Accept H4 | |
|
| F10 | 0.59 | 0.035 | 17.009 | < .001 | Accept H10 |
| F11 | 0.38 | 0.043 | 8.693 | < .001 | Accept H11 | |
| F12 | 0.5 | 0.034 | 14.907 | < .001 | Accept H12 | |
(Source: own calculations).