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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: 2] [Impact Index Per Article: 0.5] [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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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: 5.2] [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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