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      Electrocardiogram abnormalities in residents in cold homes: a cross-sectional analysis of the nationwide Smart Wellness Housing survey in Japan

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          Abstract

          Background

          Excess winter mortality caused by cardiovascular disease is particularly profound in cold houses. Consistent with this, accumulating evidence indicates that low indoor temperatures at home increase blood pressure. However, it remains unclear whether low indoor temperatures affect other cardiovascular biomarkers. In its latest list of priority medical devices for management of cardiovascular diseases, the World Health Organization (WHO) included electrocardiography systems as capital medical devices. We therefore examined the association between indoor temperature and electrocardiogram findings.

          Methods

          We collected electrocardiogram data from 1480 participants during health checkups. We also measured the indoor temperature in the living room and bedroom for 2 weeks in winter, and divided participants into those living in warm houses (average exposure temperature ≥ 18 °C), slightly cold houses (12–18 °C), and cold houses (< 12 °C) in accordance with guidelines issued by the WHO and United Kingdom. The association between indoor temperature (warm vs. slightly cold vs. cold houses) and electrocardiogram findings was analyzed using multivariate logistic regression models, with adjustment for confounders such as demographics (e.g., age, sex, body mass index, household income), lifestyle (e.g., eating habit, exercise, smoking, alcohol drinking), and region.

          Results

          The average temperature at home was 14.7 °C, and 238, 924, and 318 participants lived in warm, slightly cold, and cold houses, respectively. Electrocardiogram abnormalities were observed in 17.6%, 25.4%, and 30.2% of participants living in warm, slightly cold, and cold houses, respectively ( p = 0.003, chi-squared test). Compared to participants living in warm houses, the odds ratio of having electrocardiogram abnormalities was 1.79 (95% confidence interval: 1.14–2.81, p = 0.011) for those living in slightly cold houses and 2.18 (95% confidence interval: 1.27–3.75, p = 0.005) for those living in cold houses.

          Conclusions

          In addition to blood pressure, living in cold houses may have adverse effects on electrocardiogram. Conversely, keeping the indoor thermal environment within an appropriate range through a combination of living in highly thermal insulated houses and appropriate use of heating devices may contribute to good cardiovascular health.

          Trial registration

          The trial was retrospectively registered on 27 Dec 2017 to the University hospital Medical Information Network Clinical Trials Registry (UMIN-CTR, https://www.umin.ac.jp/ctr/, registration identifier number UMIN000030601).

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12199-021-01024-1.

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          Most cited references34

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          Cold exposure and winter mortality from ischaemic heart disease, cerebrovascular disease, respiratory disease, and all causes in warm and cold regions of Europe

          (1997)
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            Seasonal variation in serum cholesterol levels: treatment implications and possible mechanisms.

            A variety of studies have noted seasonal variation in blood lipid levels. Although the mechanism for this phenomenon is not clear, such variation could result in larger numbers of people being diagnosed as having hypercholesterolemia during the winter. We conducted a longitudinal study of seasonal variation in lipid levels in 517 healthy volunteers from a health maintenance organization serving central Massachusetts. Data collected during a 12-month period for each individual included baseline demographics and quarterly anthropometric, blood lipid, dietary, physical activity, light exposure, and behavioral information. Data were analyzed using sinusoidal regression modeling techniques. The average total cholesterol level was 222 mg/dL (5.75 mmol/L) in men and 213 mg/dL (5.52 mmol/L) in women. Amplitude of seasonal variation was 3.9 mg/dL (0.10 mmol/L) in men, with a peak in December, and 5.4 mg/dL (0.14 mmol/L) in women, with a peak in January. Seasonal amplitude was greater in hypercholesterolemic participants. Seasonal changes in plasma volume explained a substantial proportion of the observed variation. Overall, 22% more participants had total cholesterol levels of 240 mg/dL or greater (> or =6.22 mmol/L) in the winter than in the summer. This study confirms seasonal variation in blood lipid levels and suggests greater amplitude in seasonal variability in women and hypercholesterolemic individuals, with changes in plasma volume accounting for much of the variation. A relative plasma hypervolemia during the summer seems to be linked to increases in temperature and/or physical activity. These findings have implications for lipid screening guidelines. Further research is needed to better understand the effects of a relative winter hemoconcentration.
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              Systematic review of long term effects of advice to reduce dietary salt in adults.

              To assess the long term effects of advice to restrict dietary sodium in adults with and without hypertension. Systematic review and meta-analysis of randomised controlled trials. Cochrane library, Medline, Embase, and bibliographies. Unconfounded randomised trials that aimed to reduce sodium intake in healthy adults over at least 6 months. Inclusion decisions, validity and data extraction were duplicated. Random effects meta-analysis, subgrouping, sensitivity analysis, and meta-regression were performed. Mortality, cardiovascular events, blood pressure, urinary sodium excretion, quality of life, and use of antihypertensive drugs. Three trials in normotensive people (n=2326), five trials in those with untreated hypertension (n=387), and three trials in people being treated for hypertension (n=801) were included, with follow up from six months to seven years. The large high quality (and therefore most informative) studies used intensive behavioural interventions. Deaths and cardiovascular events were inconsistently defined and reported. There were 17 deaths, equally distributed between intervention and control groups. Systolic and diastolic blood pressures were reduced (systolic by 1.1 mm Hg, 95% confidence interval 1.8 to 0.4 mm Hg; diastolic by 0.6 mm Hg, 1.5 to -0.3 mm Hg) at 13 to 60 months, as was urinary 24 hour sodium excretion (by 35.5 mmol/24 hours, 47.2 to 23.9). Degree of reduction in sodium intake and change in blood pressure were not related. Intensive interventions, unsuited to primary care or population prevention programmes, provide only small reductions in blood pressure and sodium excretion, and effects on deaths and cardiovascular events are unclear. Advice to reduce sodium intake may help people on antihypertensive drugs to stop their medication while maintaining good blood pressure control.
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                Author and article information

                Contributors
                umishio.w.aa@m.titech.ac.jp
                Journal
                Environ Health Prev Med
                Environ Health Prev Med
                Environmental Health and Preventive Medicine
                BioMed Central (London )
                1342-078X
                1347-4715
                12 October 2021
                12 October 2021
                2021
                : 26
                : 104
                Affiliations
                [1 ]Department of Architecture and Building Engineering, School of Environment and Society, Tokyo Institute of Technology, W8-11, 2-12-1, Ookayama, Meguro-ku, Tokyo, 152-8552 Japan
                [2 ]GRID grid.26091.3c, ISNI 0000 0004 1936 9959, Department of System Design Engineering, Faculty of Science and Technology, , Keio University, ; Yokohama, Kanagawa Japan
                [3 ]GRID grid.410804.9, ISNI 0000000123090000, Department of Cardiology, , Jichi Medical University School of Medicine, ; Shimotsuke, Tochigi Japan
                [4 ]GRID grid.271052.3, ISNI 0000 0004 0374 5913, Department of Environmental Epidemiology, Institute of Industrial Ecological Sciences, , University of Occupational and Environmental Health, ; Kitakyushu, Fukuoka Japan
                [5 ]GRID grid.265070.6, ISNI 0000 0001 1092 3624, Department of Emergency Medicine, Ichikawa General Hospital, , Tokyo Dental College, ; Ichikawa, Chiba Japan
                [6 ]GRID grid.412586.c, ISNI 0000 0000 9678 4401, Department of Architecture, Faculty of Environmental Engineering, , University of Kitakyushu, ; Kitakyushu, Fukuoka Japan
                [7 ]GRID grid.265074.2, ISNI 0000 0001 1090 2030, Tokyo Metropolitan University, ; Hachioji, Tokyo, Japan
                [8 ]GRID grid.271052.3, ISNI 0000 0004 0374 5913, University of Occupational and Environmental Health, ; Kitakyushu, Fukuoka Japan
                [9 ]GRID grid.69566.3a, ISNI 0000 0001 2248 6943, Tohoku University, ; Sendai, Miyagi Japan
                [10 ]Institute for Building Environment and Energy Conservation, Kojimachi, Chiyoda-ku, Tokyo, Japan
                Author information
                http://orcid.org/0000-0002-2167-3429
                Article
                1024
                10.1186/s12199-021-01024-1
                8513347
                34641787
                b3751293-b9a6-4d89-b6b6-2a7259c7a963
                © The Author(s) 2021

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 20 August 2021
                : 27 September 2021
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100007330, Ministry of Land, Infrastructure, Transport and Tourism;
                Award ID: None
                Funded by: FundRef http://dx.doi.org/10.13039/501100001691, Japan Society for the Promotion of Science;
                Award ID: JP17H06151
                Award Recipient :
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2021

                Occupational & Environmental medicine
                electrocardiogram,cardiovascular disease,indoor temperature,housing,winter

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