The Influence of Socio-Economic Factors on Diet and Active Lifestyle in the Spanish Female Population
Abstract
:1. Introduction
2. Materials and Methods
2.1. Subjects
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- population between 18 and 45 years of age
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- of Spanish nationality
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- resident in Spain
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- of female sex
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- respondents who had a chronic illness that could affect their diet.
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- respondents who, at the time of the survey, were in a situation that temporarily deregulated their usual diet: hospitalization, prison admission, etc.
2.2. Ethical Approval
2.3. Instruments and Variables
2.4. Data Collection
- Personal social networks (LinkedIn, Twitter, Facebook).
- Chain mails and WhatsApp messages.
- Mailing to different establishments throughout Spain, selected because of the heterogeneous public (pharmacies, clinics, etc.).
- An Instagram account @elretonutricional was created and used specifically to disseminate the survey, from which several professionals and influencers were contacted.
2.5. Healthy Nutrition Index
2.6. Statistical Analysis
3. Results
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- Sample size: 14.784 valid surveys.
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- Age: 53.49% (7.908 people) aged between 18 and 30 years old and 46.51% aged between 31 and 45 years old (6.876 people). Mean = 30.41, Mode = 23, Median = 30.
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- Level of studies: 30.56% (4.518) with basic education (No studies, Primary school, Vocational training or Secondary School) and 69.44% (10.266 respondents) with higher education (Degree, Master’s, or Doctorate).
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- Income level: 51.86% (6.974 respondents) with a low purchasing power (less than EUR 2200 per month for the family nucleus) and 48.14% (6.473 people) with a medium-high purchasing power.
4. Discussion
Study Strengths and Weaknesses
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Appendix A
Appendix B
References
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Variables of Study | |||
---|---|---|---|
General Data | Nutrition Habits | Physical Activity | Social Habits |
Sex | Number of meals per day | Daily sitting time | Number of nights out |
Age | Breakfast | Frequency of intense sport | Number of hours of sleep |
Place of birth | Number of glasses of water | Duration of intense sport | Quality of sleep |
Place of residence | Frequency of fruit consumption | Frequency of moderate sport | Sleep result |
Size of municipality | Frequency of vegetable consumption | Duration of moderate sport | Ease of falling asleep |
Work | Frequency of consumption of white and blue fish | Reason for lack of physical activity | Tobacco addiction |
Level of education | Frequency of consumption of white and red meat | Frequency of alcohol consumption | |
Income level | Frequency of consumption of legumes | Quantity of alcohol consumed | |
Weight | Frequency of consumption of dairy products | Frequency of excessive alcohol consumption | |
Height | Frequency of cereal consumption | ||
Self-perceived level of health | Frequency of fast food consumption | ||
Illnesses requiring special diet | Frequency of consumption of fried food | ||
Symptoms of eating disorders | Frequency of ultra-processed food consumption | ||
Usual residence | Frequency of soft drinks consumption | ||
Origin survey | Frequency of fruit juice consumption | ||
Frequency of consumption of coffee or energy drinks | |||
Drinks to accompany meals | |||
Special diet |
Mean ± SD or n (%) | |||
---|---|---|---|
AGE | 18–30 years | 31–45 years | p-value * |
Body mass index (BMI) | 22.78 ± 4.00 | 24.06 ± 4.52 | 4.06 × 10−71 |
Healthy eating index (IASE) | 53.19 ± 9.70 | 54.43 ± 9.84 | 1.0686 × 10−15 |
Self-perceived health | 3.78 ± 0.81 | 3.80 ± 0.83 | 0.0151 |
Sedentary lifestyle | 1.65 ± 0.86 | 1.53 ± 0.80 | 4.85 × 10−16 |
Physical activity (min) | 148.32 ± 167.94 | 128.51 ± 150.12 | 1.72 × 10−9 |
Alcohol consumption | 1.68 ± 0.77 | 1.67 ± 0.84 | 0.0037 |
Water consumption | 3.41 ± 0.64 | 3.41 ± 0.63 | 0.8178 |
Coffee consumption | 1.59 ± 0.65 | 1.75 ± 0.70 | 1.53 × 10−42 |
Fast-food consumption | 2.53 ± 0.74 | 2.35 ± 0.76 | 3.81 × 10−38 |
Consumption of fried foods | 2.35 ± 0.83 | 2.13 ± 0.78 | 7.76 × 10−55 |
Consumption of ultra-processed food | 2.48 ± 0.93 | 2.35 ± 0.95 | 1.41 × 10−15 |
Fish consumption | 1.75 ± 0.51 | 1.82 ± 0.47 | 1.47 × 10−15 |
EDUCATIONAL LEVEL | Basic studies | Superior studies | p-value * |
Body mass index (BMI) | 24 ± 4.77 | 23.15 ± 4.08 | 6.59 × 10−16 |
Healthy eating index (IASE) | 51.95 ± 10.29 | 54.56 ± 9.47 | 8.38 × 10−43 |
Self-perceived health | 3.65 ± 0.87 | 3.85 ± 0.79 | 3.02 × 10−34 |
Sedentary lifestyle | 1.52 ± 0.80 | 1.62 ± 0.84 | 7.95 × 10−13 |
Physical activity (min) | 134.32 ± 170.60 | 140.51 ± 155.11 | 3.01 × 10−9 |
Alcohol consumption | 1.58 ± 0.77 | 1.71 ± 0. | 2.95 × 10−20 |
Water consumption | 3.41 ± 0.67 | 3.42 ± 0.62 | 0.5632 |
Coffee consumption | 1.63 ± 0.70 | 1.69 ± 0.67 | 4.63 × 10−9 |
Fast-food consumption | 2.50 ± 0.76 | 2.42 ± 0.75 | 1.75 × 10−7 |
Consumption of fried foods | 2.36 ± 0.86 | 2.19 ± 0.79 | 5.41 × 10−24 |
Consumption of ultra-processed food | 2.52 ± 0.95 | 2.37 ± 0.93 | 1.59 × 10−14 |
Fish consumption | 1.72 ± 0.51 | 1.81 ± 0.48 | 1.78 × 10−21 |
INCOMES LEVEL | Low Incomes | High Incomes | p-value * |
Body mass index (BMI) | 23.65 ± 4.48 | 23.13 ± 4.10 | 1.72 × 10−9 |
Healthy eating index (IASE) | 52.85 ± 10.03 | 54.81 ± 9.41 | 2.39 × 10−30 |
Self-perceived health | 3.69 ± 0.84 | 3.90 ± 0.77 | 2.26 × 10−17 |
Sedentary lifestyle | 1.54 ± 0.82 | 1.64 ± 0.84 | 0.000 |
Physical activity (min) | 142.90 ± 166.37 | 134.17 ± 152.35 | 0.30 |
Alcohol consumption | 1.64 ± 0.78 | 1.72 ± 0.82 | 2.34 × 10−9 |
Water consumption | 3.41 ± 0.64 | 3.42 ± 0.62 | 0.68 |
Coffee consumption | 1.64 ± 0.69 | 1.69 ± 0.68 | 3.41 × 10−7 |
Fast-food consumption | 2.47 ± 0.76 | 2.42 ± 0.74 | 0.0005 |
Consumption of fried foods | 2.25 ± 0.84 | 2.23 ± 0.78 | 0.33 |
Consumption of ultra-processed food | 2.45 ± 0.95 | 2.38 ± 0.93 | 9.99 × 10−6 |
Fish consumption | 1.75 ± 0.51 | 1.82 ± 0.48 | 6.05 × 10−19 |
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Sandri, E.; Cantín Larumbe, E.; Cerdá Olmedo, G. The Influence of Socio-Economic Factors on Diet and Active Lifestyle in the Spanish Female Population. Nutrients 2023, 15, 3319. https://doi.org/10.3390/nu15153319
Sandri E, Cantín Larumbe E, Cerdá Olmedo G. The Influence of Socio-Economic Factors on Diet and Active Lifestyle in the Spanish Female Population. Nutrients. 2023; 15(15):3319. https://doi.org/10.3390/nu15153319
Chicago/Turabian StyleSandri, Elena, Eva Cantín Larumbe, and Germán Cerdá Olmedo. 2023. "The Influence of Socio-Economic Factors on Diet and Active Lifestyle in the Spanish Female Population" Nutrients 15, no. 15: 3319. https://doi.org/10.3390/nu15153319