Marital status, household size, and lifestyle changes during the first COVID-19 pandemic: NIPPON DATA2010
暂无分享,去创建一个
T. Ohkubo | H. Arima | H. Ueshima | A. Kadota | K. Miura | A. Okayama | N. Okuda | N. Nishi | H. Taniguchi | A. Higashiyama | A. Satoh | Makiko Abe | Harumitsu Suzuki | Nagako Okuda | Aya Kadota | Hirotsugu Ueshima | Katsuyuki Miura | Akira Okayama
[1] C. Weinert,et al. Teleworking in the Covid-19 Pandemic , 2023, Business & Information Systems Engineering.
[2] Hikaru Ogawa,et al. COVID-19, marriage, and divorce in Japan , 2022, Review of Economics of the Household.
[3] J. Khubchandani,et al. COVID-19 pandemic and weight gain in American adults: A nationwide population-based study , 2022, Diabetes & Metabolic Syndrome: Clinical Research & Reviews.
[4] J. Car,et al. Health, Lifestyle, and Psycho-Social Determinants of Poor Sleep Quality During the Early Phase of the COVID-19 Pandemic: A Focus on UK Older Adults Deemed Clinically Extremely Vulnerable , 2021, Frontiers in Public Health.
[5] Joonmo Cho,et al. Uneven Use of Remote Work to Prevent the Spread of COVID-19 in South Korea's Stratified Labor Market , 2021, Frontiers in Public Health.
[6] S. Agarwal,et al. Assessment of Online Food Ordering and Delivery in Singapore During the COVID-19 Pandemic , 2021, JAMA network open.
[7] S. Phelan,et al. COVID‐19 pandemic and stay‐at‐home mandates promote weight gain in US adults , 2021, Obesity.
[8] Brittany N. Hearne. Psychological distress across intersections of race/ethnicity, gender, and marital status during the COVID-19 pandemic , 2021, Ethnicity & health.
[9] S. Nomura,et al. Mobility Patterns in Different Age Groups in Japan during the COVID-19 Pandemic: a Small Area Time Series Analysis through March 2021 , 2021, Journal of Urban Health.
[10] A. Mcgregor,et al. Impact of social restrictions during the COVID-19 pandemic on the physical activity levels of adults aged 50–92 years: a baseline survey of the CHARIOT COVID-19 Rapid Response prospective cohort study , 2021, BMJ Open.
[11] Ruining Wang,et al. Life history strategy and overeating during COVID-19 pandemic: a moderated mediation model of sense of control and coronavirus stress , 2021, Journal of eating disorders.
[12] Sahbanathul Missiriya Jalal,et al. Body Mass Index, Practice of Physical Activity and Lifestyle of Students During COVID-19 Lockdown , 2021, Journal of multidisciplinary healthcare.
[13] S. Keyhani,et al. Access to Care, Cost of Care, and Satisfaction With Care Among Adults With Private and Public Health Insurance in the US , 2021, JAMA network open.
[14] A. Hughes,et al. Changes in the behavioural determinants of health during the COVID-19 pandemic: gender, socioeconomic and ethnic inequalities in five British cohort studies , 2021, Journal of Epidemiology & Community Health.
[15] Takahiro Hayashi,et al. Social Isolation and Self-Reported Cognitive Decline Among Older Adults in Japan: A Longitudinal Study in the COVID-19 Pandemic. , 2021, Journal of the American Medical Directors Association.
[16] S. Waring,et al. Rapid Evidence Assessment of Mental Health Outcomes of Pandemics for Health Care Workers: Implications for the Covid-19 Pandemic , 2021, Frontiers in Public Health.
[17] Samrawit Solomon,et al. Impact of the COVID‐19 pandemic lockdown on weight status and factors associated with weight gain among adults in Massachusetts , 2021, Clinical obesity.
[18] J. Breda,et al. Impact of the first COVID-19 lockdown on body weight: A combined systematic review and a meta-analysis , 2021, Clinical Nutrition.
[19] D. Calina,et al. COVID-19 pandemic and alcohol consumption: Impacts and interconnections , 2021, Toxicology Reports.
[20] J. Millard,et al. Changes in Food Consumption During the COVID-19 Pandemic: Analysis of Consumer Survey Data From the First Lockdown Period in Denmark, Germany, and Slovenia , 2021, Frontiers in Nutrition.
[21] M. Touvier,et al. Diet and physical activity during the coronavirus disease 2019 (COVID-19) lockdown (March–May 2020): results from the French NutriNet-Santé cohort study , 2021, The American Journal of Clinical Nutrition.
[22] M. Kivipelto,et al. Changes in Lifestyle, Behaviors, and Risk Factors for Cognitive Impairment in Older Persons During the First Wave of the Coronavirus Disease 2019 Pandemic in Finland: Results From the FINGER Study , 2021, Frontiers in Psychiatry.
[23] T. Takebayashi,et al. Behavioral changes and hygiene practices of older adults in Japan during the first wave of COVID-19 emergency , 2021, BMC Geriatrics.
[24] S. Nomura,et al. Assessing the regional impact of Japan’s COVID-19 state of emergency declaration: a population-level observational study using social networking services , 2021, BMJ Open.
[25] M. Nagata,et al. A cross‐sectional study of the association between frequency of telecommuting and unhealthy dietary habits among Japanese workers during the COVID‐19 pandemic , 2021, Journal of occupational health.
[26] S. Inoue,et al. Associations of working from home with occupational physical activity and sedentary behavior under the COVID‐19 pandemic , 2021, Journal of occupational health.
[27] S. Ionta,et al. Increased emotional eating during COVID-19 associated with lockdown, psychological and social distress , 2020, Appetite.
[28] D. D. de Ridder,et al. Eating behavior and food purchases during the COVID-19 lockdown: A cross-sectional study among adults in the Netherlands , 2020, Appetite.
[29] A. Steptoe,et al. Factors associated with drinking behaviour during COVID-19 social distancing and lockdown among adults in the UK , 2020, Drug and Alcohol Dependence.
[30] K. Fingerman,et al. Age Differences in Stress, Life Changes, and Social Ties During the COVID-19 Pandemic: Implications for Psychological Well-Being , 2020, The Gerontologist.
[31] S. Riedel-Heller,et al. Mental wellbeing in the German old age population largely unaltered during COVID-19 lockdown: results of a representative survey , 2020, BMC Geriatrics.
[32] S. Charles,et al. Living Alone During COVID-19: Social Contact and Emotional Well-being Among Older Adults , 2020, The journals of gerontology. Series B, Psychological sciences and social sciences.
[33] M. Karwowski,et al. Who is the Most Stressed During the COVID‐19 Pandemic? Data From 26 Countries and Areas , 2020, Applied psychology. Health and well-being.
[34] C. Cunningham,et al. Why physical activity matters for older adults in a time of pandemic , 2020, European Review of Aging and Physical Activity.
[35] D. T. de Resende e Silva,et al. Physical exercise as a tool to help the immune system against COVID-19: an integrative review of the current literature , 2020, Clinical and Experimental Medicine.
[36] T. Sheldon,et al. Twin epidemics of covid-19 and non-communicable disease , 2020, BMJ.
[37] T. V. van Tilburg. Social, Emotional, and Existential Loneliness: A Test of the Multidimensional Concept , 2020, The Gerontologist.
[38] E. Berry,et al. Loneliness in the UK during the COVID-19 pandemic: Cross-sectional results from the COVID-19 Psychological Wellbeing Study , 2020, PloS one.
[39] Matthew Lee Smith,et al. Socioeconomic Status and Access to Healthcare: Interrelated Drivers for Healthy Aging , 2020, Frontiers in Public Health.
[40] K. Kaczor‐Urbanowicz,et al. COVID-19: How the quarantine could lead to the depreobesity , 2020, Obesity Medicine.
[41] G. Rubin,et al. The psychological impact of quarantine and how to reduce it: rapid review of the evidence , 2020, The Lancet.
[42] M. Marmot,et al. Association between socioeconomic status and the development of mental and physical health conditions in adulthood: a multi-cohort study. , 2020, The Lancet. Public health.
[43] J. A. Lee,et al. Health behaviors and illness according to marital status in middle-aged Koreans , 2018, Journal of public health.
[44] T. Ohkubo,et al. The National Integrated Project for Prospective Observation of Non-communicable Disease and its Trends in the Aged 2010 (NIPPON DATA2010): Objectives, Design, and Population Characteristics , 2018, Journal of epidemiology.
[45] L. Shaw,et al. Marital Status and Outcomes in Patients With Cardiovascular Disease , 2017, Journal of the American Heart Association.
[46] Paolo Vineis,et al. Socioeconomic status and the 25 × 25 risk factors as determinants of premature mortality: a multicohort study and meta-analysis of 1·7 million men and women , 2017, The Lancet.
[47] Laura Fratiglioni,et al. Impact of living alone on institutionalization and mortality: a population-based longitudinal study. , 2016, European journal of public health.
[48] A. Deckert. The existence of standard-biased mortality ratios due to death certificate misclassification - a simulation study based on a true story , 2016, BMC Medical Research Methodology.
[49] Nayu Ikeda,et al. Data Resource Profile: The Japan National Health and Nutrition Survey (NHNS). , 2015, International journal of epidemiology.
[50] H. Hashimoto,et al. Improving Population Health Measurement in National Household Surveys: A Simulation Study of the Sample Design of the Comprehensive Survey of Living Conditions of the People on Health and Welfare in Japan , 2011, Journal of epidemiology.