Dataset Information

Characterisation of meat consumption across socio-demographic, lifestyle and anthropometric groups in Switzerland: results from the National Nutrition Survey menuCH.

ABSTRACT:

Objective

Characterising meat consumption in Switzerland across socio-demographic, lifestyle and anthropometric groups.

Design

Representative national data from the menuCH survey (two 24-hour dietary recalls, anthropometric measurements and a lifestyle questionnaire) were used to analyse the total average daily intake of meat and main meat categories. Energy-standardised average intake (g/1000 kcal) was calculated and its association with 12 socio-demographic, lifestyle and anthropometric variables was investigated using multivariable linear regression.

Setting

Switzerland.

Participants

Totally, 2057 participants aged 18-75 years.

Results

Average total meat intake was 109 g/d, which included 43 g/d of processed meat, 37 g/d of red meat and 27 g/d of white meat. Energy-standardised meat intake was highest for men, the Italian-language region and the youngest age group (18-29 years). Regression results showed significantly lower total meat and red meat consumption (g/1000 kcal) for women than men. However, there were no sex-specific differences for white meat. Total meat and white meat consumption were positively associated with the 18-29 age group, compared with 30-44 years, non-Swiss compared with Swiss participants and one-parent families with children compared with couples without children. Consumption of all categories of meat showed positive associations for BMI > 25 kg/m² compared with BMI 18·5-25 kg/m² and for French- and Italian-language regions compared with German-language region.

Conclusion

The current study reveals that there are significant differences in the amounts and types of meat consumed in Switzerland, suggesting that evidence-based risks and benefits of these categories need to be emphasised more in meat consumption recommendations.

SUBMITTER: Tschanz L

PROVIDER: S-EPMC9991843 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Characterisation of meat consumption across socio-demographic, lifestyle and anthropometric groups in Switzerland: results from the National Nutrition Survey menuCH.

Tschanz Linda L Kaelin Ivo I Wróbel Anna A Rohrmann Sabine S Sych Janice J

Public health nutrition 20220425 11

<h4>Objective</h4>Characterising meat consumption in Switzerland across socio-demographic, lifestyle and anthropometric groups.<h4>Design</h4>Representative national data from the menuCH survey (two 24-hour dietary recalls, anthropometric measurements and a lifestyle questionnaire) were used to analyse the total average daily intake of meat and main meat categories. Energy-standardised average intake (g/1000 kcal) was calculated and its association with 12 socio-demographic, lifestyle and anthro ...[more]

PMID: 35466905

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Project description:Bangladesh is currently going through a nutritional transition with rapid increase in overnutrition while undernutrition is still remaining prevalent. Nevertheless, population-based data on demographic, socio-economic and lifestyle factors associated with underweight and overweight among adult population is scarce. Employing a nationwide cross-sectional survey, we collected anthropometric, demographic, socio-economic, lifestyle and dietary information from 12,180 adults aged ≥35 years. Body Mass Index (BMI) was calculated using standard formula and categorized into underweight (<18.50), normal weight (18.50-22.99), and overweight (≥23.00). Multivariable multinomial logistic regression was performed to identify factors associated with underweight and overweight. Overall, prevalence of underweight and overweight was 18.1% (95% CI: 17.5-18.8) and 33.7% (95% CI: 32.9-34.6), respectively. All the demographic, socio-economic, dietary and lifestyle factors showed significant association with nutritional status in bivariate analysis. In adjusted analysis, factors showing significant positive association with underweight included female gender (ARRR-1.38, 95% CI: 1.11-1.71), older age [compared to 35-39 years age group, ARRR (95% CI) for ≥ 70 years is 2.32 (1.89-2.86), for 60-69 years is 1.62 (1.36-1.93), for 50-59 years 1.34 (1.13-1.58) and for 40-49 years 1.05 (0.87-1.15)] and smoking habit (ARRR-1.32, 95% CI: 1.14-1.52) while factors showing significant inverse association with underweight included higher household wealth [compared to lowest wealth quintile, ARRR (95% CI) for highest quintile is 0.68 (0.55-0.84), for second highest quintile 0.77 (0.65-0.91), for middle quintile 0.81 (0.69-0.94) and for second lowest quintile 0.89 (0.77-1.03)], urban residence (ARRR-0.66, 95% CI: 0.66-0.90), and more frequent meat/fish and fruits consumption (ARRR-0.76, 95% CI: 0.65-0.90). On the other hand, factors significantly associated with increased risk of overweight included female gender (ARRR-1.35, 95% CI: 1.12-1.63), higher household wealth [compared to lowest wealth quintile, ARRR (95% CI) for highest quintile is 2.27 (1.93-2.68), for second highest quintile 1.67 (1.44-1.94), for middle quintile 1.26 (1.10-1.46) and for second lowest quintile 1.07 (0.93-1.24), excess food availability [compared to food shortage, ARRR (95% CI) for excess food in the household is 1.29 (1.12-1.47) and for no shortage/no excess is 1.23 (1.09-1.38) and more frequent fruits consumption [compared to no fruits, ARRR (95% CI) for 5-7 days per week consumption is 1.61 (1.41-1.83) and for 3-4 days per week is 1.28 (1.16-1.41) and factors significantly associated with decreased risk of overweight included older age [compared to 35-39 years age group, ARRR (95% CI) for ≥ 70 years is 0.77 (0.64-0.93), for 60-69 years is 0.82 (0.71-0.94), for 50-59 years 0.91 (0.80-1.04) and for 40-49 years 1.01 (0.89-1.15)] and smoking (ARRR-0.76, 95% CI: 0.68-0.86). Both underweight and overweight are prevalent in Bangladeshi adult population. Several demographic, socio-economic, dietary and lifestyle factors are associated with underweight and overweight in Bangladesh. Population level impact of these factors should be examined to design suitable public health and nutrition interventions to address this dual challenge.

Dataset Information

Characterisation of meat consumption across socio-demographic, lifestyle and anthropometric groups in Switzerland: results from the National Nutrition Survey menuCH.

Objective

Design

Setting

Participants

Results

Conclusion

Publications

Characterisation of meat consumption across socio-demographic, lifestyle and anthropometric groups in Switzerland: results from the National Nutrition Survey menuCH.

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