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Goldney J, Barker MM, Sargeant JA, Daynes E, Papamargaritis D, Shabnam S, Goff LM, Khunti K, Henson J, Davies MJ, Zaccardi F. Burden of vascular risk factors by age, sex, ethnicity and deprivation in young adults with and without newly diagnosed type 2 diabetes. Diabetes Res Clin Pract 2025; 220:112002. [PMID: 39800277 DOI: 10.1016/j.diabres.2025.112002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2024] [Revised: 01/07/2025] [Accepted: 01/08/2025] [Indexed: 01/15/2025]
Abstract
AIMS Do associations between age at diagnosis of type 2 diabetes and vascular risk factors vary by ethnicity and deprivation? METHODS Utilising the Clinical Practice Research Datalink, we matched 16-50-year-old individuals with newly diagnosed type 2 diabetes to ∼10 individuals without using sex, age and primary care practice. Differences in BMI, obesity, LDL-cholesterol, HbA1c, and hypertension between individuals with vs without type 2 diabetes across sex, age, ethnicity and deprivation quintiles were explored using generalised linear models. RESULTS We included 108,061 individuals (45.6% women) with newly diagnosed type 2 diabetes and 829,946 controls. BMI, obesity, LDL-cholesterol, and hypertension were higher in individuals with vs without type 2 diabetes. Across both sexes, all ethnic groups and deprivation quintiles, these differences were larger with an earlier age, particularly for BMI and obesity. Association between age and HbA1c were variable across subgroups. Differences in BMI, obesity, and hypertension (individuals with vs without diabetes) were largest in White individuals and with less deprivation. CONCLUSIONS The increased vascular risk phenotype associated with an earlier age of diagnosis of type 2 diabetes was consistent across ethnic and deprivation groups. Population-based strategies are needed to address the risk associated with early-onset type 2 diabetes, especially weight-management-based strategies.
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Affiliation(s)
- Jonathan Goldney
- Diabetes Research Centre, College of Life Sciences, University of Leicester, Leicester General Hospital, Leicester LE5 4PW UK; NIHR Leicester Biomedical Research Centre, University Hospitals of Leicester NHS Trust and University of Leicester, Leicester LE5 4PW UK.
| | - Mary M Barker
- Leicester Real World Evidence Unit, Leicester Diabetes Centre, University of Leicester, Leicester General Hospital, Leicester LE5 4PW UK; Unit of Integrative Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Sweden
| | - Jack A Sargeant
- Diabetes Research Centre, College of Life Sciences, University of Leicester, Leicester General Hospital, Leicester LE5 4PW UK; NIHR Leicester Biomedical Research Centre, University Hospitals of Leicester NHS Trust and University of Leicester, Leicester LE5 4PW UK; Leicester Diabetes Centre, University Hospitals of Leicester NHS Trust, Leicester LE5 4PW UK
| | - Enya Daynes
- NIHR Leicester Biomedical Research Centre, University Hospitals of Leicester NHS Trust and University of Leicester, Leicester LE5 4PW UK; Department of Respiratory Sciences, University of Leicester, Glenfield Hospital, Leicester LE3 9QP UK
| | - Dimitris Papamargaritis
- Diabetes Research Centre, College of Life Sciences, University of Leicester, Leicester General Hospital, Leicester LE5 4PW UK; NIHR Leicester Biomedical Research Centre, University Hospitals of Leicester NHS Trust and University of Leicester, Leicester LE5 4PW UK
| | - Sharmin Shabnam
- Leicester Real World Evidence Unit, Leicester Diabetes Centre, University of Leicester, Leicester General Hospital, Leicester LE5 4PW UK
| | - Louise M Goff
- Diabetes Research Centre, College of Life Sciences, University of Leicester, Leicester General Hospital, Leicester LE5 4PW UK; NIHR Leicester Biomedical Research Centre, University Hospitals of Leicester NHS Trust and University of Leicester, Leicester LE5 4PW UK
| | - Kamlesh Khunti
- Diabetes Research Centre, College of Life Sciences, University of Leicester, Leicester General Hospital, Leicester LE5 4PW UK; NIHR Leicester Biomedical Research Centre, University Hospitals of Leicester NHS Trust and University of Leicester, Leicester LE5 4PW UK; Leicester Real World Evidence Unit, Leicester Diabetes Centre, University of Leicester, Leicester General Hospital, Leicester LE5 4PW UK; NIHR Applied Research Collaboration East Midlands (ARC-EM), Leicester Diabetes Centre, University of Leicester LE5 4PW UK
| | - Joseph Henson
- Diabetes Research Centre, College of Life Sciences, University of Leicester, Leicester General Hospital, Leicester LE5 4PW UK; NIHR Leicester Biomedical Research Centre, University Hospitals of Leicester NHS Trust and University of Leicester, Leicester LE5 4PW UK
| | - Melanie J Davies
- Diabetes Research Centre, College of Life Sciences, University of Leicester, Leicester General Hospital, Leicester LE5 4PW UK; NIHR Leicester Biomedical Research Centre, University Hospitals of Leicester NHS Trust and University of Leicester, Leicester LE5 4PW UK; Leicester Diabetes Centre, University Hospitals of Leicester NHS Trust, Leicester LE5 4PW UK
| | - Francesco Zaccardi
- Diabetes Research Centre, College of Life Sciences, University of Leicester, Leicester General Hospital, Leicester LE5 4PW UK; NIHR Leicester Biomedical Research Centre, University Hospitals of Leicester NHS Trust and University of Leicester, Leicester LE5 4PW UK; Leicester Real World Evidence Unit, Leicester Diabetes Centre, University of Leicester, Leicester General Hospital, Leicester LE5 4PW UK
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Hanslian E, Schiele JK, Jeitler M, Michalsen A, Wischnewsky M, Storz MA, Brinkhaus B, Ortiz M, Sigl MR, Hoffmann R, Lehmann J, Koppold DA, Keßler CS. Attitudes toward healthy nutrition in Germany - results from an online-representative cross-sectional survey. Front Nutr 2025; 11:1480980. [PMID: 39897537 PMCID: PMC11783846 DOI: 10.3389/fnut.2024.1480980] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2024] [Accepted: 12/12/2024] [Indexed: 02/04/2025] Open
Abstract
Introduction Nutrition plays a crucial role in current German public health strategies. While sociodemographic differences in nutrition have been extensively studied, recent data specific to Germany remains limited. Methods An online-representative cross-sectional survey was conducted in 2022 among German-speaking adults aged 18-75 using a Computer Assisted Web Interview (CAWI) format. The survey addressed personal eating habits, the importance of nutrition, motivations behind food choices, and openness to dietary changes. Data analysis included both descriptive and inferential statistics, incorporating CHAID decision tree analysis and nonparametric methods for inductive statistical evaluation. Results Among the 4,065 participants, 62.3% regarded healthy nutrition as important, with women, individuals with higher education, and those aged under 26 or over 70 demonstrating greater emphasis on nutrition. CHAID analysis identified education as the most significant predictor of attitudes toward healthy nutrition, followed by sex and income. Participants with a positive attitude toward healthy nutrition reported higher HRQoL scores (EQ-Index = 0.862) compared to neutral or negative attitudes (EQ-Index = 0.835)0.10.5% of participants reported not to eat meat, 28.6% were self-reported flexitarians and 54.1% of participants considered themselves omnivorous. Gender-specific dietary preferences were observed, with plant-based diets being much more popular among females. Participants identified taste preference as the primary factor influencing food choices (77.2%) when asked about the main reasons for their eating habits. Approximately 18% of participants predominantly or exclusively bought organic foods. Interestingly, one third of participants indicated a willingness to adopt a more plant-based diet if recommended by physicians or scientists. Conclusion This online representative survey revealed significant associations between nutrition and sociodemographic aspects. Understanding this complex interplay might be useful for public health nutrition strategies that promote healthier national eating patterns.
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Affiliation(s)
- Etienne Hanslian
- Institute of Social Medicine, Epidemiology and Health Economics, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Department of Internal Medicine and Nature-Based Therapies, Immanuel Hospital Berlin, Berlin, Germany
| | - Julia Katharina Schiele
- Institute of Social Medicine, Epidemiology and Health Economics, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Charité Competence Center for Traditional and Integrative Medicine, Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Berlin, Germany
| | - Michael Jeitler
- Institute of Social Medicine, Epidemiology and Health Economics, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Andreas Michalsen
- Institute of Social Medicine, Epidemiology and Health Economics, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Department of Internal Medicine and Nature-Based Therapies, Immanuel Hospital Berlin, Berlin, Germany
| | - Manfred Wischnewsky
- Institute of Social Medicine, Epidemiology and Health Economics, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Department of Mathematics and Computer Science, University Bremen, Bremen, Germany
| | - Maximilian Andreas Storz
- Department of Internal Medicine II, Centre for Complementary Medicine, Faculty of Medicine, Medical Center, University of Freiburg, Freiburg, Germany
| | - Benno Brinkhaus
- Institute of Social Medicine, Epidemiology and Health Economics, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Miriam Ortiz
- Institute of Social Medicine, Epidemiology and Health Economics, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Mike R. Sigl
- Institute of Social Medicine, Epidemiology and Health Economics, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Rasmus Hoffmann
- Institute for Sociology, Otto-Friedrich-University Bamberg, Bamberg, Germany
| | - Judith Lehmann
- Institute for Sociology, Otto-Friedrich-University Bamberg, Bamberg, Germany
| | - Daniela A. Koppold
- Institute of Social Medicine, Epidemiology and Health Economics, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Department of Internal Medicine and Nature-Based Therapies, Immanuel Hospital Berlin, Berlin, Germany
- Charité Competence Center for Traditional and Integrative Medicine, Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Berlin, Germany
- Department for Prevention and Care of Diabetes, Department of Medicine III, Faculty of Medicine Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Christian S. Keßler
- Institute of Social Medicine, Epidemiology and Health Economics, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Department of Internal Medicine and Nature-Based Therapies, Immanuel Hospital Berlin, Berlin, Germany
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Bartelmeß T, Schönfeld M, Pfeffer J. Exploring food poverty experiences in the German Twitter-Sphere. BMC Public Health 2024; 24:1398. [PMID: 38796420 PMCID: PMC11127365 DOI: 10.1186/s12889-024-18926-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Accepted: 05/22/2024] [Indexed: 05/28/2024] Open
Abstract
BACKGROUND This study investigates the subjective perceptions of food poverty in Germany by analysing Twitter discourse using the German-language hashtag #IchBinArmutsbetroffen (#IamPovertyAffected) and examines the extent to which various dimensions of a multidimensional theoretical model of food poverty are represented in the discourse. METHODS Employing a combination of computational social science and qualitative social research methods, the research identifies, and analyses tweets related to nutrition by applying a hierarchical dictionary search and qualitative content analysis. By examining the narratives and statements of individuals affected by food poverty, the study also investigates the interplay among different subdimensions of this phenomenon. RESULTS The analysis of 1,112 tweets revealed that 57.96% focused on the material dimension and 42.04% on the social dimension of food poverty, suggesting a relatively balanced emphasis on material and social aspects of food poverty in the narratives of those affected. The findings reveal that tweets on material food poverty underscore economic challenges and resource scarcity for food. Social food poverty tweets demonstrate widespread deprivation in social participation, leading to isolation, exclusion, and social network loss. Overall, the results elucidate intricate interconnections among subdimensions and multidimensional manifestations of food poverty. CONCLUSIONS This study contributes methodologically by presenting an approach for extracting food-related textual social media data and empirically by providing novel insights into the perceptions and multifaceted manifestations of food poverty in Germany. The results can aid in a better understanding of the phenomenon of food poverty as it currently manifests in Germany, and in developing targeted social, health-promoting, and political measures that address more effectively the empirically evident multidimensionality of the phenomenon.
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Affiliation(s)
- Tina Bartelmeß
- Faculty of Life Sciences: Food, Nutrition and Health, Professorship of Food Sociology, University of Bayreuth, Fritz-Hornschuch-Strasse 13, Kulmbach, Germany.
| | - Mirco Schönfeld
- Faculty of Languages and Literature, Professorship of Data Modelling and Interdisciplinary Knowledge Generation, University of Bayreuth, Nürnberger Straße 38, Bayreuth, Germany
| | - Jürgen Pfeffer
- Munich School of Politics and Public Policy, Professorship of Computational Social Science and Big Data, Technical University of Munich, Arcisstraße 21, Munich, Germany
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Klink U, Mata J, Frank R, Schüz B. Socioeconomic differences in animal food consumption: Education rather than income makes a difference. Front Nutr 2022; 9:993379. [PMID: 36407520 PMCID: PMC9668869 DOI: 10.3389/fnut.2022.993379] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Accepted: 10/20/2022] [Indexed: 11/06/2022] Open
Abstract
Background/aims Evidence points toward more sustainable and health-conscious dietary behaviors among individuals with higher socioeconomic status. However, these differences vary considerably depending on which indicator of socioeconomic status is examined. Here, we present a systematic parallel investigation of multiple indicators of socioeconomic status as predictors of animal food consumption frequency and selected food-related behaviors in Germany. Methods Data from the German subsample of two large representative European consumer studies (Study 1 n = 1,954; Study 2 n = 2,045) was used. We assessed the associations between the socioeconomic indicators income, current occupation as well as education and consumption frequency of animal foods and selected food-related behaviors in separate ordinal logistic regressions. Results Individuals with higher educational attainment engaged in more sustainable and health-conscious dietary behaviors, indicated by significant associations between educational attainment and the consumption frequency of animal foods. Low- and middle-income participants consumed processed meat more frequently (Study 1 only; medium income: OR 1.5, CI 1.09-2.05, p = 0.012; low income: OR 1.43, CI 1.01-2.05, p = 0.047) and fish less frequently (Study 2 only; medium income: OR 0.76, CI 0.59-0.97, p = 0.026; low income: OR 0.061, CI 0.46-0.82, p < 0.001) than participants with high income. Current occupation did not predict the consumption of animal foods or food-related behaviors. Intake frequency of animal-based foods indicates that most participants exceeded national dietary recommendations for meat and processed meat and remained below recommendations for fish and dairy/eggs intake. Conclusion Educational attainment appears to be the strongest and most consistent socioeconomic indicator of sustainable dietary choices in Germany based on current large, representative studies. Future efforts should be directed toward education interventions about nutrition and interpretation of food labels to compensate for differences in dietary behavior among groups with different levels of education.
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Affiliation(s)
- Urte Klink
- Institute for Public Health and Nursing Research, Prevention and Health Promotion, University of Bremen, Bremen, Germany
| | - Jutta Mata
- Health Psychology, Department of Social Sciences, University of Mannheim, Mannheim, Germany
| | | | - Benjamin Schüz
- Institute for Public Health and Nursing Research, Prevention and Health Promotion, University of Bremen, Bremen, Germany
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Enzenbach C, Kowall B. Income in relation to obesity measures in an East German adult population: findings from the LIFE-Adult-Study. BMC Public Health 2021; 21:1313. [PMID: 34225684 PMCID: PMC8256574 DOI: 10.1186/s12889-021-11302-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Accepted: 06/08/2021] [Indexed: 11/10/2022] Open
Abstract
Background Obesity has been postulated to be a consequence of economic disadvantage. However, epidemiological studies failed to demonstrate a consistent link between income and body fat indicators. We examined income as a possible cause of obesity in an East German general population, focusing on appropriate representation of study variables, as well as on confounding and modification of the income-obesity association. Methods We used data of 9599 participants in the baseline examination of the LIFE-Adult-Study, conducted in the city of Leipzig from 2011 to 2014. Body mass index (BMI) and waist circumference (WC) as obesity measures were based on standardised measurements, net equivalised income (NEI) on self-reports. We estimated adjusted means of BMI and WC within NEI categories representing the range from risk of poverty to affluence. We stratified the analyses by gender, age, and education. Results A substantial part of the age-adjusted associations of income with obesity measures was attributable to other SES indicators. Adjusted for these variables, NEI was comparably associated with BMI and WC. Among women, BMI and WC decreased across NEI categories. The inverse associations tended to be stronger at non-working age (≥ 65 years) than at working age (< 65 years). Conversely, among working-age men, BMI and WC increased with increasing NEI. Among older men, risk of poverty was related to higher values of the obesity measures. The aforementioned associations were predominantly stronger in highly educated participants compared to those with medium/low education. The differences in mean BMI and WC between persons at risk of poverty and higher income groups were rather small, ranging from 1 to 2 kg/m2 for BMI and 2 to 4 cm for WC. Conclusions Our investigation indicates an association between income and body fatness in an East German adult population that depends on the sociodemographic context of the people. However, it does not suggest that income disparities are a major driver of body fat accumulation in this population. Differential selection of study participants, error in the measurement of long-term income, and possibly reverse causality may have affected our conclusions. Supplementary Information The online version contains supplementary material available at 10.1186/s12889-021-11302-w.
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Affiliation(s)
- Cornelia Enzenbach
- Institute for Medical Informatics, Statistics, and Epidemiology, University of Leipzig, Haertelstrasse 16-18, 04107, Leipzig, Germany. .,LIFE - Leipzig Research Centre for Civilization Diseases, University of Leipzig, Philipp-Rosenthal-Strasse 27, 04103, Leipzig, Germany. .,Institute for Community Medicine, Department SHIP-KEF, University Medicine Greifswald, Walter-Rathenau-Strasse 48, 17475, Greifswald, Germany.
| | - Bernd Kowall
- Institute for Medical Informatics, Biometry, and Epidemiology, University Hospital Essen, Hufelandstrasse 55, 45147, Essen, Germany
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Huang CH, Okada K, Matsushita E, Uno C, Satake S, Arakawa Martins B, Kuzuya M. Sex-Specific Association between Social Frailty and Diet Quality, Diet Quantity, and Nutrition in Community-Dwelling Elderly. Nutrients 2020; 12:nu12092845. [PMID: 32957506 PMCID: PMC7551288 DOI: 10.3390/nu12092845] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2020] [Revised: 09/14/2020] [Accepted: 09/15/2020] [Indexed: 12/16/2022] Open
Abstract
The effects of social frailty on diet and nutrition are under-investigated. Our study aimed to assess the association between social frailty and diet quality, diet quantity, and nutrition over a 3-year period in community-dwelling older Japanese adults. This prospective cohort study recruited individuals aged ≥60 years from a community college and followed up 666 participants annually. Social frailty was determined using a 4-item questionnaire. Diet quantity (energy and macronutrient intake) and diet quality (dietary diversity score and Diet Quality Index-International) were assessed using a food frequency questionnaire. Nutrition was evaluated using the Mini-Nutritional Assessment (MNA). Out of the 666 participants (56.5% women), 250 (37.5%) were categorized as having social prefrailty or frailty. Regarding diet quantity, energy intake (β = −1.59kcal/kg/day, p < 0.01) and nutrient intake (protein intake, β = −0.08g/kg/day; fat intake, β = −0.06g/kg/day; carbohydrate intake, β = −0.18g/kg/day; fiber intake, β = −0.01g/kg/day; all p < 0.05) were lower in men with social prefrailty or frailty than in men with social robustness. Dietary diversity score (β = −0.25, p = 0.01) and MNA score (β = −0.32, p = 0.04) decreased in men with social prefrailty or frailty. However, these associations were not observed in women. Social frailty is associated with lower dietary intake, poor diet quality, and poor nutrition among community-dwelling older men. Future studies are required to determine the benefits of sex-specific interventions targeting social frailty on nutritional outcomes.
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Affiliation(s)
- Chi Hsien Huang
- Department of Community Health and Geriatrics, Nagoya University Graduate School of Medicine, 65 Tsuruma-cho, Showa-ku, Nagoya 4668550, Japan;
- Department of Family Medicine, E-Da Hospital, No.1, Yida Road, Jiaosu Village, Yanchao District, Kaohsiung City 82445, Taiwan
- School of Medicine for International Students, College of Medicine, I-Shou University, No.8, Yida Rd., Jiaosu Village, Yanchao District, Kaohsiung City 82445, Taiwan
- Institutes of Innovation for Future Society, Nagoya University, NIC, Chikusa Ward, Furocho, Nagoya 4648601, Japan;
- Correspondence: (C.H.H.); (M.K.); Tel.: +052-744-2369 (M.K.)
| | - Kiwako Okada
- Graduate School of Nutritional Sciences, Nagoya University of Arts and Sciences, Takenoyama–57, Iwasakicho, Nisshin 4700196, Japan; (K.O.); (E.M.)
| | - Eiji Matsushita
- Graduate School of Nutritional Sciences, Nagoya University of Arts and Sciences, Takenoyama–57, Iwasakicho, Nisshin 4700196, Japan; (K.O.); (E.M.)
| | - Chiharu Uno
- Institutes of Innovation for Future Society, Nagoya University, NIC, Chikusa Ward, Furocho, Nagoya 4648601, Japan;
- Graduate School of Nutritional Sciences, Nagoya University of Arts and Sciences, Takenoyama–57, Iwasakicho, Nisshin 4700196, Japan; (K.O.); (E.M.)
| | - Shosuke Satake
- Section of Frailty Prevention, Department of Frailty Research, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, 7–430 Morioka-cho, Obu City 4748511, Japan;
- Department of Geriatric Medicine, Hospital, National Center for Geriatrics and Gerontology, 7–430 Morioka-cho, Obu City 4748511, Japan
| | - Beatriz Arakawa Martins
- Department of Community Health and Geriatrics, Nagoya University Graduate School of Medicine, 65 Tsuruma-cho, Showa-ku, Nagoya 4668550, Japan;
- Adelaide Geriatrics Training and Research with Aged Care (G-TRAC Centre), Discipline of Medicine, Adelaide Medical School, University of Adelaide, 61 Silkes Rd, Paradise, Adelaide 5075, Australia
- National Health and Medical Research Council Centre of Research Excellence in Frailty and Healthy Ageing, University of Adelaide, Adelaide 5005, Australia
| | - Masafumi Kuzuya
- Department of Community Health and Geriatrics, Nagoya University Graduate School of Medicine, 65 Tsuruma-cho, Showa-ku, Nagoya 4668550, Japan;
- Institutes of Innovation for Future Society, Nagoya University, NIC, Chikusa Ward, Furocho, Nagoya 4648601, Japan;
- Correspondence: (C.H.H.); (M.K.); Tel.: +052-744-2369 (M.K.)
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Mader S, Rubach M, Schaecke W, Röger C, Feldhoffer I, Thalmeier EM. Healthy nutrition in Germany: a survey analysis of social causes, obesity and socioeconomic status. Public Health Nutr 2020; 23:2109-2123. [PMID: 32338236 PMCID: PMC10200647 DOI: 10.1017/s1368980019004877] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2019] [Revised: 10/15/2019] [Accepted: 11/21/2019] [Indexed: 01/13/2023]
Abstract
OBJECTIVE The obesity pandemic is an increasing burden for society. Information on key drivers of the nutrition cycle of (a) social causation, (b) biological causation and (c) health selection is vital for effective policies targeted at the reduction of obesity prevalence. However, empirical causal knowledge on (a) the social predictors of diet quality, (b) its impact on corpulence and (c) the socioeconomic consequences of obesity is sparse. We overcome the limitations of previous research and acquire comprehensive causal insight into this cycle. DESIGN Therefore, we analyse two German socio-epidemiological panel surveys exploiting their longitudinal panel structure utilising hybrid panel regression models. SETTING General population of Germany. PARTICIPANTS German Health Interview and Examination Survey for Children and Adolescents (KiGGS, n 17 640; age 0-24 years) and the German National Nutrition Monitoring (NEMONIT, n 2610; age 15-82 years). RESULTS The results indicate that (a) interestingly only sex, education and age explain healthy diets; (b) increases in a newly developed Optimised Healthy Eating Index (O-HEI-NVSII) and in nuts intake reduce BMI, while growing overall energy intake, lemonade, beer and meat (products) intake drive corpulence; (c) in turn, developing obesity decreases socioeconomic status. CONCLUSIONS These results suggest that policies targeted at the reduction of obesity prevalence may be well advised to focus on boys and men, people with low education, the promotion of a healthy diet and nuts intake, and the limitation of lemonade, beer and meat (products) intake. Therefore, future research may focus on the replication of our findings utilising longer panels and experimental approaches.
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Affiliation(s)
- Sebastian Mader
- Institute of Sociology, University of Bern, 3012Bern, Switzerland
| | - Malte Rubach
- Bavarian State Ministry for Nutrition, Agriculture, and Forestry, 80539Munich, Germany
| | - Wolfram Schaecke
- Bavarian State Ministry for Nutrition, Agriculture, and Forestry, 80539Munich, Germany
| | - Christine Röger
- Competence Centre of Nutrition (KErn) at the Bavarian State Research Center for Agriculture, 85354Freising, Germany
| | - Ina Feldhoffer
- Competence Centre of Nutrition (KErn) at the Bavarian State Research Center for Agriculture, 85354Freising, Germany
| | - Eva-Magdalena Thalmeier
- Competence Centre of Nutrition (KErn) at the Bavarian State Research Center for Agriculture, 85354Freising, Germany
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Beliaev AM, Bergin CJ, Ruygrok P. Socio-Economic Disparity is Not Linked to Outcome Following Heart Transplantation in New Zealand. Heart Lung Circ 2020; 29:1063-1070. [DOI: 10.1016/j.hlc.2019.07.018] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2018] [Revised: 06/11/2019] [Accepted: 07/23/2019] [Indexed: 01/06/2023]
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Socio-economic and cultural disparities in diet among adolescents and young adults: a systematic review. Public Health Nutr 2019; 23:843-860. [PMID: 31466544 DOI: 10.1017/s1368980019002362] [Citation(s) in RCA: 63] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
OBJECTIVE To explore dietary differences according to socio-economic and sociocultural characteristics of adolescents and young adults. DESIGN A systematic review was conducted. SETTING The main search source was MEDLINE, consulted between January 2012 and March 2017. Quality of selected studies was assessed based on dietary measurement method, sample selection, socio-economic indicator choice and statistical modelling. PARTICIPANTS Cross-sectional and longitudinal studies, assessing relationships between socio-economic status and dietary intake (patterns, scores and food groups) in the 10- to 40-year-old general population of high-income countries, were selected. RESULTS Among the 7250 reports identified, forty were selected, seventeen of which were of high quality; their conclusions, related only to adolescents, were combined and presented. The most favourable dietary patterns, higher dietary scores, greater consumption of fruits, vegetables and dairy products, and lower consumption of sugary sweetened beverages and energy-dense foods, were associated with better parental socio-economic status, particularly in terms of higher education. Migrant status was associated with plant-based patterns, greater consumption of fruits and vegetables and of sugary sweetened beverages and energy-dense foods. For the other food groups, and for young adults, very few high-quality studies were found. CONCLUSIONS The socio-economic gradient in adolescent diets requires confirmation by higher-grade studies of a wider set of food groups and must be extended to young adult populations. Future nutritional interventions should involve the most vulnerable adolescent populations, taking account of socio-economic status and migration.
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Cano-Ibáñez N, Gea A, Ruiz-Canela M, Corella D, Salas-Salvadó J, Schröder H, Navarrete-Muñoz EM, Romaguera D, Martínez JA, Barón-López FJ, López-Miranda J, Estruch R, Riquelme-Gallego B, Alonso-Gómez Á, Tur JA, Tinahones FJ, Serra-Majem L, Martín V, Lapetra J, Vázquez C, Pintó X, Vidal J, Daimiel L, Gaforio JJ, Matía P, Ros E, Fernández-Carrión R, Díaz-López A, Zomeño MD, Candela I, Konieczna J, Abete I, Buil-Cosiales P, Basora J, Fitó M, Martínez-González MA, Bueno-Cavanillas A. Diet quality and nutrient density in subjects with metabolic syndrome: Influence of socioeconomic status and lifestyle factors. A cross-sectional assessment in the PREDIMED-Plus study. Clin Nutr 2019; 39:1161-1173. [PMID: 31101439 DOI: 10.1016/j.clnu.2019.04.032] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2018] [Revised: 04/23/2019] [Accepted: 04/24/2019] [Indexed: 02/05/2023]
Abstract
BACKGROUND Socioeconomic disparities and lifestyle factors are likely to determine the overall quality of the diet. In addition, overeating is compatible with inadequate micronutrient intake and it can lead to adverse health outcomes. OBJECTIVE To assess adequacy of dietary nutrient intake and to investigate the influence of socioeconomic and lifestyle factors on nutrient density in a large primary cardiovascular prevention trial conducted in healthy participants with metabolic syndrome (MetS) to assess the cardiovascular effects of an energy-restricted Mediterranean diet (PREDIMED-Plus). METHODS Baseline cross-sectional analysis of the PREDIMED-Plus trial with 6646 Spanish participants (aged 55-75 years in men and 60-75 years in women) with overweight/obesity and MetS. Energy and nutrient intake (for 10 nutrients) were calculated using a validated 143-item Food Frequency Questionnaire (FFQ) and nutrient density was estimated dividing the absolute nutrient intake by total energy intake. The prevalence of inadequate intake was estimated according to dietary reference intakes. Multivariable linear regression models were fitted to examine associations between socioeconomic status or lifestyle factors and nutrient density. RESULTS A considerable proportion of the screened participants showed a deficient intake of vitamins A, D, E, B9, calcium, magnesium and dietary fibre. Inadequate intake of four or more of the ten nutrients considered was present in 17% of participants. A higher nutrient density was directly and significantly associated with female sex, higher educational level and a better adherence to the Mediterranean diet. Lifestyle factors such as non-smoking and avoidance of sedentary lifestyles were also independently associated with better nutrient density. CONCLUSIONS Patients with MetS, despite being overweight, exhibited suboptimal nutrient intake, especially among men. Low nutrient density diet can be largely explained by differences in socioeconomic and lifestyle factors. These results highlight the importance of focussing on nutritional education in vulnerable populations, taking into account nutrient requirements.
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Affiliation(s)
- Naomi Cano-Ibáñez
- Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain; CIBER de Epidemiología y Salud Pública(CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Instituto de Investigación Biosanitaria de Granada, IBS GRANADA, Granada, Spain.
| | - Alfredo Gea
- Department of Preventive Medicine and Public Health, Medical School, University of Navarra, Pamplona, Spain; Navarra Institute for Health Research (IdisNa), Pamplona, Spain; CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Miguel Ruiz-Canela
- Department of Preventive Medicine and Public Health, Medical School, University of Navarra, Pamplona, Spain; Navarra Institute for Health Research (IdisNa), Pamplona, Spain; CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Dolores Corella
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Jordi Salas-Salvadó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Universitat Rovira i Virgili, Department de Bioquímica I Biotecnologia, Unitat de Nutrició, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain; University Hospital of Sant Joan de Reus, Nutrition Unit, Reus, Spain
| | - Helmut Schröder
- CIBER de Epidemiología y Salud Pública(CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Médica (IMIM), Barcelona, Spain
| | - Eva Ma Navarrete-Muñoz
- CIBER de Epidemiología y Salud Pública(CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Nutritional Epidemiology Unit, Miguel Hernández University, ISABIAL-FISABIO, Alicante, Spain
| | - Dora Romaguera
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - J Alfredo Martínez
- Navarra Institute for Health Research (IdisNa), Pamplona, Spain; CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain; Nutritional Genomics and Epigenomics Group, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - F Javier Barón-López
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Department of Public Health, University of Málaga-IBIMA, Málaga, Spain
| | - José López-Miranda
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Lipids and Atherosclerosis Unit, Department of Internal Medicine, Maimonides Biomedical Research Institute of Córdoba (IMIBIC), Reina Sofía University Hospital, University of Córdoba, Córdoba, Spain
| | - Ramón Estruch
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Department of Internal Medicine, Institut d'Investigacions Biomèdiques August Pi I Sunyer (IDIBAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain
| | | | - Ángel Alonso-Gómez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Department of Cardiology, OSI ARABA, University Hospital Araba, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
| | - Josep A Tur
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Research Group on Community Nutrition & Oxidative Stress, University of Balearic Islands, Palma de Mallorca, Spain
| | - Francisco J Tinahones
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Virgen de la Victoria Hospital, Department of Endocrinology, Instituto de Investigación Biomédica de Málaga (IBIMA), University of Málaga, Málaga, Spain
| | - Lluis Serra-Majem
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Research Institute of Biomedical and Health Sciences, University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain
| | - Vicente Martín
- CIBER de Epidemiología y Salud Pública(CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Institute of Biomedicine (IBIOMED), University of León, León, Spain
| | - José Lapetra
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Department of Family Medicine, Research Unit, Distrito Sanitario Atención Primaria Sevilla, Sevilla, Spain
| | - Clotilde Vázquez
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Department of Endocrinology, Fundación Jiménez-Díaz, Madrid, Spain
| | - Xavier Pintó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Lipids and Vascular Risk Unit, Internal Medicine, Hospital Universitario de Bellvitge, Hospitalet de Llobregat, Spain
| | - Josep Vidal
- Endocrinology and Nutrition Service, IDIBAPS, Hospital Clinic, Barcelona, Spain; CIBER Diabetes y Enfermedades Metabólicas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Lidia Daimiel
- Nutritional Genomics and Epigenomics Group, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - José Juan Gaforio
- CIBER de Epidemiología y Salud Pública(CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Centro de Estudios Avanzados en Olivar y Aceites de Oliva, Universidad de Jaén, Jaén, Spain
| | - Pilar Matía
- Department of Endocrinology and Nutrition, Instituto de Investigación Sanitaria Hospital Clínico San Carlos (IdISSC), Madrid, Spain
| | - Emilio Ros
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Endocrinology and Nutrition Service, IDIBAPS, Hospital Clinic, Barcelona, Spain
| | - Rebeca Fernández-Carrión
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Department of Preventive Medicine, University of Valencia, Valencia, Spain
| | - Andrés Díaz-López
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Universitat Rovira i Virgili, Department de Bioquímica I Biotecnologia, Unitat de Nutrició, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain; University Hospital of Sant Joan de Reus, Nutrition Unit, Reus, Spain
| | - M Dolors Zomeño
- Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Médica (IMIM), Barcelona, Spain; Human Nutrition Unit, Blanquerna-Ramon Llull University, Barcelona, Spain
| | - Inmaculada Candela
- CIBER de Epidemiología y Salud Pública(CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Nutritional Epidemiology Unit, Miguel Hernández University, ISABIAL-FISABIO, Alicante, Spain
| | - Jadwiga Konieczna
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Health Research Institute of the Balearic Islands (IdISBa), Palma de Mallorca, Spain
| | - Itziar Abete
- Navarra Institute for Health Research (IdisNa), Pamplona, Spain; CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Department of Nutrition, Food Sciences, and Physiology, Center for Nutrition Research, University of Navarra, Pamplona, Spain
| | - Pilar Buil-Cosiales
- Department of Preventive Medicine and Public Health, Medical School, University of Navarra, Pamplona, Spain; CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Atención Primaria, Servicio Navarro de Salud-Osasunbidea, Pamplona, Spain
| | - Josep Basora
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Universitat Rovira i Virgili, Department de Bioquímica I Biotecnologia, Unitat de Nutrició, Reus, Spain; Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain; University Hospital of Sant Joan de Reus, Nutrition Unit, Reus, Spain
| | - Montserrat Fitó
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Unit of Cardiovascular Risk and Nutrition, Institut Hospital del Mar de Investigaciones Médicas Municipal d'Investigació Médica (IMIM), Barcelona, Spain
| | - Miguel A Martínez-González
- Department of Preventive Medicine and Public Health, Medical School, University of Navarra, Pamplona, Spain; Navarra Institute for Health Research (IdisNa), Pamplona, Spain; CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Harvard TH Chan School of Public Health, Department of Nutrition, Boston, USA
| | - Aurora Bueno-Cavanillas
- Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain; CIBER de Epidemiología y Salud Pública(CIBERESP), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Instituto de Investigación Biosanitaria de Granada, IBS GRANADA, Granada, Spain
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Yang F, Liu X, Zha P. Trends in Socioeconomic Inequalities and Prevalence of Anemia Among Children and Nonpregnant Women in Low- and Middle-Income Countries. JAMA Netw Open 2018; 1:e182899. [PMID: 30646183 PMCID: PMC6324516 DOI: 10.1001/jamanetworkopen.2018.2899] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
IMPORTANCE Anemia remains a major challenge for women's and children's health in low- and middle-income countries (LMICs). OBJECTIVE To assess the socioeconomic inequalities and prevalence of anemia among children and nonpregnant girls and women in LMICs over time. DESIGN, SETTING, AND PARTICIPANTS This cross-sectional and repeated cross-sectional analysis used data from the Demographic and Health Surveys collected from January 1, 2000, through December 31, 2014. Initial cross-sectional data sets constructed from the most recent surveys included 163 419 children aged 6 to 59 months and 304 202 nonpregnant girls and women aged 15 to 49 years (hereinafter referred to as nonpregnant women) from 45 LMICs. Repeated cross-sectional data sets from the most recent and the earliest surveys consisted of 322 088 nonpregnant women from 25 LMICs and 182 273 children from 24 LMICs. Analyses were conducted from June 1, 2016, through July 3, 2018. MAIN OUTCOMES AND MEASURES Total and severe anemia for children aged 6 to 59 months (hemoglobin level, <11 and <7 g/dL, respectively) and nonpregnant women aged 15 to 49 years (<12 and <8 g/dL, respectively) were defined according to the World Health Organization hemoglobin cutoff levels. The slope index of inequality (SII) and the relative index of inequality (RII) were calculated to determine anemia inequalities. RESULTS Among the 163 419 children aged 6 to 59 months and the 304 202 nonpregnant women aged 15 to 49 years in the initial cross-sectional data sets, 34 of 45 countries had anemia prevalence levels for children greater than 40% and 37 of 45 had anemia prevalence levels greater than 20% for nonpregnant women. Among the 182 273 children from 24 LMICs and 322 088 nonpregnant women from 25 LMICs in the repeated cross-sectional data sets, the annualized absolute decreases in the prevalence of anemia ranged from 0.67 to 3.98 percentage points in 16 of the 24 LMICs; for cases of severe anemia, the decrease was 0.03 to 0.82 percentage points in 15 LMICs. Among 322 088 nonpregnant women from 25 LMICs in the repeated cross-sectional data sets, the annualized absolute decreases in the prevalence of anemia ranged from 0.49 to 2.59 percentage points in 17 of 25 LMICs; for severe anemia, the decrease was 0.03 to 0.29 percentage points in 15 LMICs. The SII was significantly negative and the RII was significantly less than 1 in 37 of the 45 LMICs among children and in 26 of the 45 LMICs for nonpregnant women. The annualized changes in the SII approached 0 in 16 of the 24 LMICs among children and in 11 of 25 LMICs among nonpregnant women. CONCLUSIONS AND RELEVANCE Most LMICs continue to exhibit a high prevalence of anemia among children and nonpregnant women, although the prevalence of total and severe anemia have decreased in many LMICs. Anemia inequalities among children and nonpregnant women persist in most LMICs.
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Affiliation(s)
- Fan Yang
- School of Health Policy and Management, Nanjing Medical University, Nanjing, China
| | - Xueyi Liu
- School of Health Policy and Management, Nanjing Medical University, Nanjing, China
| | - Panpan Zha
- School of Health Policy and Management, Nanjing Medical University, Nanjing, China
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