Clustering of sociodemographic and lifestyle factors among adults with excess weight in a multilingual country

Vinci, Linda; Krieger, Jean‐Philippe; Braun, Julia; Pestoni, Giulia; Bender, Nicole; Rohrmann, Sabine; Faeh, David; Staub, Kaspar

doi:10.1016/j.nut.2019.01.001

Cited by 11 publications

(5 citation statements)

References 38 publications

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“…This differs from previous longitudinal studies, which showed that obese male participants consumed more alcoholic beverages than non-obese [7]. Reverse causation might at least partly explain our results such that obese participants concerned with their weight might avoid high-energy foods, including alcohol [48]. Couples with children were more likely to be abstainers than couples without children, which might be linked with a greater perception of responsibility or being a role model by parents.…”

Section: Associated Factors Of Alcohol-drinking Levelscontrasting

confidence: 99%

Investigation of Alcohol-Drinking Levels in the Swiss Population: Differences in Diet and Associations with Sociodemographic, Lifestyle and Anthropometric Factors

Bae¹,

Wróbel²,

Kaelin³

et al. 2022

Nutrients

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Alcohol-drinking levels in Switzerland were investigated to identify dietary differences and explore the relationship between drinking levels and sociodemographic, lifestyle and anthropometric factors using the National Nutrition Survey menuCH (n = 2057, 18–75 years). After two 24 h dietary recalls (24HDRs), participants were categorized into four subgroups: abstainers (both self-declared alcohol avoidance and no alcohol reported); no alcohol reported; moderate drinkers (women/men < 12 g/<24 g mean daily alcohol, respectively); and heavy drinkers (women/men > 12 g/>24 g mean daily alcohol, respectively). Differences in diet between these groups were described by comparing daily total energy and non-alcohol energy intake, macronutrient energy contribution, food group intake, and diet quality (Alternate Healthy Eating Index excluding alcohol). The sociodemographic, anthropometric and lifestyle factors that determine alcohol-drinking levels were investigated using multinomial logistic regression. Abstainers reported the lowest daily energy intake (total and non-alcohol), heavy drinkers had the highest total energy intake and the lowest diet quality, and moderate drinkers had the highest non-alcohol energy intake. Sex, age, language region, body mass index, household size, smoking status, self-reported health status and following a diet were significantly associated with different alcohol-drinking subgroups. Results could facilitate interventions that target subgroups who exceed safe alcohol-drinking levels and lead unfavorable lifestyles.

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Section: Associated Factors Of Alcohol-drinking Levelscontrasting

confidence: 99%

Investigation of Alcohol-Drinking Levels in the Swiss Population: Differences in Diet and Associations with Sociodemographic, Lifestyle and Anthropometric Factors

Bae¹,

Wróbel²,

Kaelin³

et al. 2022

Nutrients

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“…We confirmed differences in BMI between the sexes and between language regions that had been previously described in publications reporting single studies ( 14 , 33 – 35 ) . BMI differences between the language regions in Switzerland are mainly explained due to different cultural influences in the respective language regions (especially by influences from the neighbouring countries – Germany, France and Italy) and thus to different dietary behaviours ( 34 ) .…”

Section: Discussionsupporting

confidence: 90%

“…For the adult population, the prevalence of excess weight varies between 25 and 50 %, depending on the study, reflecting differences in the design and the composition of the study population in terms of sex, age and socio-economic and ethnic backgrounds. Recent studies have focused mainly on individual datasets ( 14 ) , some of which have a regional focus ( 15 ) . However, the trend in research is moving towards synthesis or pooled studies, which have been performed very successfully at the global scale for several years ( 16 ) .…”

Section: Introductionmentioning

confidence: 99%

A quantitative synthesis study on body mass index and associated factors among adult men and women in Switzerland

et al. 2022

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Excess weight is caused by multiple factors and has increased sharply in Switzerland since the 1990s. Its consequences represent a major challenge for Switzerland, both in terms of health and the economy. Until now, there has been no cross-dataset overview study on excess weight in adults in Switzerland. Therefore, our aim was to conduct the first synthesis on excess weight in Switzerland. We included all existing nationwide Swiss studies (eight total), which included information on body mass index (BMI). Mixed multinomial logistic regression analyses were performed to assess the associations between different socio-demographic, lifestyle cofactors and the World Health Organization (WHO) categories for BMI. Along with lifestyle factors, socio-demographic factors were among the strongest determinants of BMI. In addition, self-rated health status was significantly lower for underweight, pre-obese and obese men and women than for normal weight persons. The present study is the first to synthesise all nationwide evidence on the importance of several socio-demographic and lifestyle factors as risk factors for excess weight. In particular, the highlighted importance of lifestyle factors for excess weight opens up the opportunity for further public health interventions.

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“…The current study shows that the overweight and obese population in Switzerland consumed significantly higher amounts of all meat categories compared with the normal-weight population, independent of their energy intake, confirming results from Germany and France (26,32) . In an earlier study using menuCH Survey data, age, language region, education, income, household status, smoking, health status and physical activity were reported as determinants of meat consumption as well as for being overweight and obese (41) . Hence, high meat consumption could be an indicator of an unbalanced diet.…”

Section: Discussionmentioning

confidence: 99%

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

Tschanz

Kaelin²,

Wróbel³

et al. 2022

Public Health Nutr.

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Objective: Characterising meat consumption in Switzerland across sociodemographic, lifestyle and anthropometric groups. Design: Representative national data from the menuCH survey (two 24-hour dietary recalls, anthropometric measurements and a lifestyle questionnaire) was 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 sociodemographic, lifestyle and anthropometric variables was investigated using multivariable linear regression. Setting: Switzerland. Participants: 2,057, aged 18-75 years old Results: Average total meat intake was 109 g/day, which included 43 g/day of processed meat, 37 g/day of red meat, and 27 g/day 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 to 30-44 years, non-Swiss compared to Swiss participants, and one-parent families with children compared to couples without children. Consumption of all categories of meat showed positive associations for BMI > 25kg/m2 compared to BMI 18.5-25kg/m2, and for French- and Italian-language regions compared to German language region. Conclusion: This 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.

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Clustering of sociodemographic and lifestyle factors among adults with excess weight in a multilingual country

Cited by 11 publications

References 38 publications

Investigation of Alcohol-Drinking Levels in the Swiss Population: Differences in Diet and Associations with Sociodemographic, Lifestyle and Anthropometric Factors

Investigation of Alcohol-Drinking Levels in the Swiss Population: Differences in Diet and Associations with Sociodemographic, Lifestyle and Anthropometric Factors

A quantitative synthesis study on body mass index and associated factors among adult men and women in Switzerland

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

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