1
|
Egorov AI, Griffin SM, Styles JN, Kobylanski J, Klein J, Wickersham L, Ritter R, Sams E, Hudgens EE, Wade TJ. Time outdoors and residential greenness are associated with reduced systemic inflammation and allostatic load. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 344:123408. [PMID: 38278402 DOI: 10.1016/j.envpol.2024.123408] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 01/09/2024] [Accepted: 01/18/2024] [Indexed: 01/28/2024]
Abstract
Contacts with nature are linked with reduced morbidity and mortality. Hypothesized pathways include relaxation, physical activity, and improved immune function. This cross-sectional study of 320 adults in central North Carolina assessed health benefits of residential greenness using allostatic load (AL) and systemic inflammation (INFL) indices, composite biomarker-based measures of physiological dysregulation and inflammation, respectively. Distance-to-residence weighted tree cover and vegetated land cover measures were estimated within 500 m of each residence; 37 biomarkers of immune, neuroendocrine, cardiovascular, and metabolic functions were dichotomized at distribution or health-based cut-offs. AL was calculated as a sum of potentially unhealthy values of all biomarkers; INFL was based on a subset of 18 immune biomarkers. Regression analysis used generalized additive models for Poisson-distributed outcome. An interquartile range (IQR) increase in tree cover was associated with 0.89 (95 % Confidence Limits 0.82; 0.97) and 0.90 (0.79; 1.03)-fold change in AL and INFL, respectively. Greater daily outdoor time was associated with reduced AL and INFL, while leisure screen time, problems with sleeping, and common chronic infections were linked with increased AL and INFL. Among 138 individuals spending more than 1 h outdoors daily, an IQR increase in tree cover was associated with 0.76 (0.67; 0.86) and 0.81 (0.65; 1.02)-fold changes in AL and INFL, respectively. Among individuals with residential tree cover above the 50th percentile, spending more than 3 h outdoors daily was associated with 0.54 (0.37; 0.78) and 0.28 (0.15; 0.54)-fold changes in AL and INFL, respectively, compared to spending less than 30 min outdoors; there were no significant effects in the low tree cover stratum. Consistent but weaker effects were observed for vegetated land cover. Interaction effects of tree and vegetative cover and time spent outdoors on AL and INFL were statistically significant. This biomarker-based approach can help to assess public health benefits of green spaces.
Collapse
Affiliation(s)
- Andrey I Egorov
- Office of Research and Development, United States Environmental Protection Agency, Research Triangle Park, NC, USA.
| | - Shannon M Griffin
- Office of Research and Development, United States Environmental Protection Agency, Cincinnati, OH, USA
| | - Jennifer N Styles
- Office of Research and Development, United States Environmental Protection Agency, Research Triangle Park, NC, USA; Department of Environmental Sciences and Engineering, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Jason Kobylanski
- ORAU Student Services Contractor, United States Environmental Protection Agency, Research Triangle Park, NC, USA
| | - Jo Klein
- ORAU Student Services Contractor, United States Environmental Protection Agency, Research Triangle Park, NC, USA
| | - Lindsay Wickersham
- ORAU Student Services Contractor, United States Environmental Protection Agency, Research Triangle Park, NC, USA
| | - Rebecca Ritter
- ORAU Student Services Contractor, United States Environmental Protection Agency, Research Triangle Park, NC, USA
| | - Elizabeth Sams
- Office of Research and Development, United States Environmental Protection Agency, Research Triangle Park, NC, USA
| | - Edward E Hudgens
- Office of Research and Development, United States Environmental Protection Agency, Research Triangle Park, NC, USA
| | - Timothy J Wade
- Office of Research and Development, United States Environmental Protection Agency, Research Triangle Park, NC, USA
| |
Collapse
|
2
|
UMOD and the architecture of kidney disease. Pflugers Arch 2022; 474:771-781. [PMID: 35881244 PMCID: PMC9338900 DOI: 10.1007/s00424-022-02733-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Revised: 07/12/2022] [Accepted: 07/13/2022] [Indexed: 12/17/2022]
Abstract
The identification of genetic factors associated with the risk, onset, and progression of kidney disease has the potential to provide mechanistic insights and therapeutic perspectives. In less than two decades, technological advances yielded a trove of information on the genetic architecture of chronic kidney disease. The spectrum of genetic influence ranges from (ultra)rare variants with large effect size, involved in Mendelian diseases, to common variants, often non-coding and with small effect size, which contribute to polygenic diseases. Here, we review the paradigm of UMOD, the gene coding for uromodulin, to illustrate how a kidney-specific protein of major physiological importance is involved in a spectrum of kidney disorders. This new field of investigation illustrates the importance of genetic variation in the pathogenesis and prognosis of disease, with therapeutic implications.
Collapse
|
3
|
Siew RVK, Nabe-Nielsen K, Turner AI, Bujtor M, Torres SJ. The role of combined modifiable lifestyle behaviors in the association between exposure to stressors and allostatic load: A systematic review of observational studies. Psychoneuroendocrinology 2022; 138:105668. [PMID: 35066347 DOI: 10.1016/j.psyneuen.2022.105668] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Revised: 12/10/2021] [Accepted: 01/10/2022] [Indexed: 10/19/2022]
Abstract
BACKGROUND Exposure to stressors can evoke psychological, physiological, and behavioral stress responses, which may lead to the adoption of health-damaging behaviors that dysregulate multiple biological systems contributing to a high allostatic load. This review explored the role of combined modifiable lifestyle behaviors in the relationship between stressors and allostatic load among healthy adults. METHODS A systematic search was conducted in Medline Complete, PsycINFO, CINAHL, and Embase databases up to September 2021. The PRISMA guidelines guided reporting and study quality was assessed using the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Checklist. RESULTS Database searches identified 319 papers. Eight cross-sectional and two longitudinal studies met our inclusion criteria. Among the ten studies, combined modifiable lifestyle behaviors partly explained the association between exposure to stressors and elevated allostatic load in four cross-sectional and two longitudinal studies. CONCLUSION Some evidence suggests that combined modifiable lifestyle behaviors may help explain the relationship between stressors and an elevated allostatic load. Further longitudinal studies with mediation analyses would strengthen these findings and help to confirm the mechanistic role of combined modifiable lifestyle behaviors underlying the relationship between stress exposure and allostatic load.
Collapse
Affiliation(s)
- Raymond Vooi Khong Siew
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, Vic, Australia; Section of Social Medicine, Department of Public Health, University of Copenhagen, Øster Farimagsgade 5, 1014 Copenhagen K, Denmark.
| | - Kirsten Nabe-Nielsen
- Section of Social Medicine, Department of Public Health, University of Copenhagen, Øster Farimagsgade 5, 1014 Copenhagen K, Denmark
| | - Anne I Turner
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, Vic, Australia
| | - Melissa Bujtor
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, Vic, Australia
| | - Susan J Torres
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, Vic, Australia
| |
Collapse
|
4
|
Stringhini S, Marques-Vidal P, Petrovic D. [Not Available]. PRAXIS 2020; 109:23-26. [PMID: 31910756 DOI: 10.1024/1661-8157/a003364] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Socio-Economic Differences in the Lausanne CoLaus Cohort Abstract. The CoLaus study allowed to highlight the existence of broad social inequalities in health among the population of the city of Lausanne. In fact, participants with low socioeconomic status had a higher prevalence of cardio-metabolic risk factors, risk behaviors, sleep disturbances, and higher inflammatory markers compared to the more socio-economically advantaged participants in the study. In most cases, these inequalities are similar to those found in the neighboring cantons and countries.
Collapse
Affiliation(s)
- Silvia Stringhini
- Unité d'Epidémiologie Populationnelle, Service de Médecine de Premiers Recours, Hôpitaux Universitaires de Genève, Genève
| | - Pedro Marques-Vidal
- Service de médecine interne, Département de Médecine, Centre hospitalier universitaire vaudois (CHUV) et Université de Lausanne, Lausanne
| | - Dusan Petrovic
- Unisanté, Département d'épidémiologie et systèmes de santé, Lausanne
| |
Collapse
|
6
|
Socioeconomic indicators in epidemiologic research: A practical example from the LIFEPATH study. PLoS One 2017; 12:e0178071. [PMID: 28557991 PMCID: PMC5448763 DOI: 10.1371/journal.pone.0178071] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2016] [Accepted: 05/08/2017] [Indexed: 12/20/2022] Open
Abstract
Background Several social indicators have been used in epidemiological research to describe socioeconomic position (SEP) of people in societies. Among SEP indicators, those more frequently used are education, occupational class and income. Differences in the incidence of several health outcomes have been reported consistently, independently from the indicator employed. Main objectives of the study were to present the socioeconomic classifications of the social indicators which will be employed throughout the LIFEPATH project and to compare social gradients in all-cause mortality observed in the participating adult cohorts using the different SEP indicators. Methods Information on the available social indicators (education, own and father’s occupational class, income) from eleven adult cohorts participating in LIFEPATH was collected and harmonized. Mortality by SEP for each indicator was estimated by Poisson regression on each cohort and then evaluated using a meta-analytical approach. Results In the meta-analysis, among men mortality was significantly inversely associated with both occupational class and education, but not with father’s occupational class; among women, the increase in mortality in lower social strata was smaller than among men and, except for a slight increase in the lowest education category, no significant differences were found. Conclusions Among men, the proposed three-level classifications of occupational class and education were found to predict differences in mortality which is consistent with previous research. Results on women suggest that classifying them through their sole SEP, without considering that of their partners, may imply a misclassification of their social position leading to attenuation of mortality differences.
Collapse
|
7
|
Petrovic D, Pivin E, Ponte B, Dhayat N, Pruijm M, Ehret G, Ackermann D, Guessous I, Younes SE, Pechère-Bertschi A, Vogt B, Mohaupt M, Martin PY, Paccaud F, Burnier M, Bochud M, Stringhini S. Sociodemographic, behavioral and genetic determinants of allostatic load in a Swiss population-based study. Psychoneuroendocrinology 2016; 67:76-85. [PMID: 26881833 DOI: 10.1016/j.psyneuen.2016.02.003] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/21/2015] [Revised: 02/03/2016] [Accepted: 02/03/2016] [Indexed: 11/16/2022]
Abstract
Allostatic load (AL) is a marker of physiological dysregulation which reflects exposure to chronic stress. High AL has been related to poorer health outcomes including mortality. We examine here the association of socioeconomic and lifestyle factors with AL. Additionally, we investigate the extent to which AL is genetically determined. We included 803 participants (52% women, mean age 48±16years) from a population and family-based Swiss study. We computed an AL index aggregating 14 markers from cardiovascular, metabolic, lipidic, oxidative, hypothalamus-pituitary-adrenal and inflammatory homeostatic axes. Education and occupational position were used as indicators of socioeconomic status. Marital status, stress, alcohol intake, smoking, dietary patterns and physical activity were considered as lifestyle factors. Heritability of AL was estimated by maximum likelihood. Women with a low occupational position had higher AL (low vs. high OR=3.99, 95%CI [1.22;13.05]), while the opposite was observed for men (middle vs. high OR=0.48, 95%CI [0.23;0.99]). Education tended to be inversely associated with AL in both sexes(low vs. high OR=3.54, 95%CI [1.69;7.4]/OR=1.59, 95%CI [0.88;2.90] in women/men). Heavy drinking men as well as women abstaining from alcohol had higher AL than moderate drinkers. Physical activity was protective against AL while high salt intake was related to increased AL risk. The heritability of AL was estimated to be 29.5% ±7.9%. Our results suggest that generalized physiological dysregulation, as measured by AL, is determined by both environmental and genetic factors. The genetic contribution to AL remains modest when compared to the environmental component, which explains approximately 70% of the phenotypic variance.
Collapse
Affiliation(s)
- Dusan Petrovic
- Institute of Social and Preventive Medicine (IUMSP), Lausanne University Hospital, Route de la corniche 10, 1010 Lausanne, Switzerland
| | - Edward Pivin
- Institute of Social and Preventive Medicine (IUMSP), Lausanne University Hospital, Route de la corniche 10, 1010 Lausanne, Switzerland
| | - Belen Ponte
- Institute of Social and Preventive Medicine (IUMSP), Lausanne University Hospital, Route de la corniche 10, 1010 Lausanne, Switzerland; Department of Nephrology and Hypertension, University Hospital of Geneva (HUG), Rue Gabrielle Perret-Gentil 4, 1205 Geneva, Switzerland
| | - Nasser Dhayat
- University Clinic for Nephrology, Hypertension and Clinical Pharmacology, Inselspital, Bern University Hospital and University of Bern, Freiburgstrasse 15, 3010 Bern, Switzerland
| | - Menno Pruijm
- Department of Nephrology and Hypertension, Lausanne University Hospital, Rue du Bugnon 17, 1011 Lausanne, Switzerland
| | - Georg Ehret
- Department of Cardiology, University Hospital of Geneva (HUG), Rue Gabrielle Perret-Gentil 4, 1205 Geneva, Switzerland
| | - Daniel Ackermann
- University Clinic for Nephrology, Hypertension and Clinical Pharmacology, Inselspital, Bern University Hospital and University of Bern, Freiburgstrasse 15, 3010 Bern, Switzerland
| | - Idris Guessous
- Institute of Social and Preventive Medicine (IUMSP), Lausanne University Hospital, Route de la corniche 10, 1010 Lausanne, Switzerland; Unit of Population Epidemiology, Division of Primary Care Medicine, Department of Community Medicine and Primary Care and Emergency Medicine, University Hospital of Geneva (HUG), Rue Gabrielle Perret-Gentil 4, 1205 Geneva, Switzerland
| | - Sandrine Estoppey Younes
- Institute of Social and Preventive Medicine (IUMSP), Lausanne University Hospital, Route de la corniche 10, 1010 Lausanne, Switzerland
| | - Antoinette Pechère-Bertschi
- Department of Nephrology and Hypertension, University Hospital of Geneva (HUG), Rue Gabrielle Perret-Gentil 4, 1205 Geneva, Switzerland
| | - Bruno Vogt
- University Clinic for Nephrology, Hypertension and Clinical Pharmacology, Inselspital, Bern University Hospital and University of Bern, Freiburgstrasse 15, 3010 Bern, Switzerland
| | - Markus Mohaupt
- University Clinic for Nephrology, Hypertension and Clinical Pharmacology, Inselspital, Bern University Hospital and University of Bern, Freiburgstrasse 15, 3010 Bern, Switzerland
| | - Pierre-Yves Martin
- Department of Nephrology and Hypertension, University Hospital of Geneva (HUG), Rue Gabrielle Perret-Gentil 4, 1205 Geneva, Switzerland
| | - Fred Paccaud
- Institute of Social and Preventive Medicine (IUMSP), Lausanne University Hospital, Route de la corniche 10, 1010 Lausanne, Switzerland
| | - Michel Burnier
- Department of Nephrology and Hypertension, Lausanne University Hospital, Rue du Bugnon 17, 1011 Lausanne, Switzerland
| | - Murielle Bochud
- Institute of Social and Preventive Medicine (IUMSP), Lausanne University Hospital, Route de la corniche 10, 1010 Lausanne, Switzerland
| | - Silvia Stringhini
- Institute of Social and Preventive Medicine (IUMSP), Lausanne University Hospital, Route de la corniche 10, 1010 Lausanne, Switzerland.
| |
Collapse
|