As of 2021, there were a total of *** residents in nursing homes in Jakarta, indicating a significantly low proportion compared to its nearly *********** elderly population. In the same year, there were ** nursing home units in the city. With the increasing life expectancy, the proportion of Indonesia's senior population is expected to rise in the following years, in line with the demand for elderly care facilities.

As of 2021, there were ** nursing homes in Indonesia's capital city, Jakarta. This indicated an increase compared to 2018 when there were only **** nursing homes. With the increasing life expectancy, the proportion of Indonesia's senior population is expected to rise in the following years, in line with the demand for elderly care facilities.

Advances and innovations in the medical field have highly contributed to extending the life expectancy of individuals. Indeed, people are living longer and older, so it has been essential to optimize the capacity of facilities providing care for the elderly. In France, the number of beds in residential care facilities for dependent elderly people (EHPAD) increased continuously since 2004. Figures rose from ******* available beds in 2004 to nearly ******* units in 2018.

In the space of more than a decade, the number of beds in residential facilities for the elderly (EHPA) experienced a drastic decrease. As a matter of fact, figures declined from around ******* beds in 2004 to barely ****** units in 2018, representing a loss of more than ******* places available. In contrast, an opposite trend was observed for EHPADs during the same period.

Abstract This article aims to evaluate the Brazilian Long-Term Institutions for Older People (LTIE), according to the Integrated Multidimensional Theoretical Model of Quality and Service (MIQA), and compare the performance achieved between the regions of the country. Descriptive ecological study carried out with public secondary data from the LTIE participating in the 2018 Census of the Unified Social Assistance System. An Evaluation Matrix was constructed from the Census variables and the MIQA Theoretical Model. Quality parameters were used to classify the institutions’ performance for each indicator as “incipient”, “developing” or “desirable”. The disparity index was obtained for each indicator. 1,665 institutions were analyzed. Differences were observed in the percentages of LTIE with “desirable” performance between Brazilian regions, and the need for improvement in most LTIE in relation to the proportion of caregivers of older people, the composition of the multidisciplinary team, accessibility and supply of health promotion actions. There was a need for government support for the suppression of exclusionary differentiation criteria and for the expansion of services to overcome overcrowding.

Community Services Statistics - December 2018 This is a monthly report on publicly funded community services using data from the Community Services Data Set (CSDS) reported in England for December 2018. The CSDS is a patient-level dataset providing information relating to publicly funded community services. These services can include health centres, schools, mental health trusts, and health visiting services. The data collected includes personal and demographic information, diagnoses including long-term conditions and disabilities and care events plus screening activities. It has been developed to help achieve better outcomes for children, young people and adults. It provides data that will be used to commission services in a way that improves health, reduces inequalities, and supports service improvement and clinical quality. Prior to October 2017, the predecessor Children and Young Peoples Health Services (CYPHS) Data Set collected data for children and young people aged 0-18. The CSDS superseded the CYPHS data set to allow adult community data to be submitted, expanding the scope of the existing data set by removing the 0-18 age restriction. The structure and content of the CSDS remains the same as the previous CYPHS data set. Further information about the CYPHS and related statistical reports is available in the related links below. References to children and young people covers records submitted for 0-18 year olds and references to adults covers records submitted for those aged over 18. Where analysis for both groups have been combined, this is referred to as all patients. These statistics are classified as experimental and should be used with caution. Experimental statistics are new official statistics undergoing evaluation. They are published in order to involve users and stakeholders in their development and as a means to build in quality at an early stage. More information about experimental statistics can be found on the UK Statistics Authority website. We hope this information is helpful and would be grateful if you could spare a couple of minutes to complete a short customer satisfaction survey. Please use the survey in the related links to provide us with any feedback or suggestions for improving the report.

Elderly Care Devices Market By Size, Share, Trends, Growth, Opportunity, and Forecast, 2018-2028, Segmented By Product, By End User, By Region and Competition

This publication reports information from the CSDS. This is a monthly report on publicly funded community services for children, young people and adults using data from the Community Services Data Set (CSDS) reported in England for October 2018. The CSDS is a patient-level dataset providing information relating to publicly funded community services for children, young people and adults. These services can include health centres, schools, mental health trusts, and health visiting services. The data collected includes personal and demographic information, diagnoses including long-term conditions and disabilities and care events plus screening activities. It has been developed to help achieve better outcomes for children, young people and adults. It provides data that will be used to commission services in a way that improves health, reduces inequalities, and supports service improvement and clinical quality. Prior to October 2017, the predecessor Children and Young Peoples Health Services (CYPHS) Data Set collected data for children and young people aged 0-18. The CSDS superseded the CYPHS data set to allow adult community data to be submitted, expanding the scope of the existing data set by removing the 0-18 age restriction. The structure and content of the CSDS remains the same as the previous CYPHS data set. Further information about the CYPHS and related statistical reports is available in the related links below. References to children and young people covers records submitted for 0-18 year olds and references to adults covers records submitted for those aged over 18. Where analysis for both groups have been combined, this is referred to as all patients. These statistics are classified as experimental and should be used with caution. Experimental statistics are new official statistics undergoing evaluation. They are published in order to involve users and stakeholders in their development and as a means to build in quality at an early stage. More information about experimental statistics can be found on the UK Statistics Authority website. We hope this information is helpful and would be grateful if you could spare a couple of minutes to complete a short customer satisfaction survey. Please use the survey in the related links to provide us with any feedback or suggestions for improving the report.

BackgroundTo obtain the rate of admission to nursing homes (NHs) and to evaluate clinical characteristics and mortality rates of patients admitted to NHs after hospitalizations for COVID-19, compared to non-COVID-19 acutely hospitalized patients.MethodsWe analyzed administrative data from Lombardy, a Northen Italian region, in individuals aged ≥50 years who were hospitalized and discharged alive in 2018 for acute conditions or, between February 2020 and June 2022, for COVID-19. Outcomes included NH institutionalization rates within 180 post-discharge day and mortality following NH admission. Kaplan–Meier curves and Cox proportional hazard models adjusted for age, sex, and comorbidities were used to assess the risks.ResultsAmong 133,216 COVID-19 hospitalizations in 2020–2022 and 239,099 acute hospitalizations in 2018, institutionalization rates within 180 post-discharge days were similar (3.7% for both cohorts). However, COVID-19 patients had higher adjusted risks of institutionalization (HR 1.70; 95% CI 1.63–1.78) and mortality within 6 months after NH admission (HR 2.08; 95% CI 1.90–2.27). Differences were more pronounced when considering patients hospitalized during the first COVID-19 pandemic wave.ConclusionCOVID-19 hospitalization significantly increases the risks of admission to NHs and early mortality after institutionalization in older individuals compared to hospitalizations due to other acute conditions.

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Hospice Market Size 2024-2028

The hospice market size is forecast to increase by USD 111.1 billion, at a CAGR of 4.88% between 2023 and 2028.

The market is experiencing significant growth, driven by the increasing geriatric population and increasing geriatric medicine and the rising emphasis on person-centered care in hospice settings. The aging demographic trend is fueling a surge in demand for hospice services and digital health as the elderly population is more likely to require end-of-life care. This demographic shift is a major opportunity for hospice providers to expand their offerings and cater to the unique needs of this population. However, the high cost of healthcare remains a significant challenge for the market. The escalating costs of providing quality care, coupled with regulatory requirements and reimbursement pressures, put pressure on hospice providers to optimize their operations and manage costs effectively.
To navigate these challenges, hospice providers must explore innovative care models, leverage technology to improve efficiency, and collaborate with healthcare partners to share resources and reduce costs. By addressing these challenges, hospice providers can capitalize on the market's growth potential and deliver high-quality, person-centered care to their patients.

What will be the Size of the Hospice Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2018-2022 and forecasts 2024-2028 - in the full report.
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The market continues to evolve, with dynamic market activities shaping its landscape. Medication management, a crucial aspect, is increasingly integrated into hospice care through advanced technologies and specialized services. Wound care and home infusion therapy are also gaining prominence, providing comfort and symptom relief for patients. Hospice chaplains offer spiritual care, while home health aides and social workers ensure patient needs are met beyond medical care. Palliative care and grief counseling are essential components of holistic care, addressing the emotional and psychological aspects of end-of-life care. Referral pathways streamline the transition between various care settings, ensuring seamless continuity. Hospice volunteer coordinators play a vital role in supporting patients and families, while hospice physicians and administrators oversee the delivery of quality care.

Quality indicators, discharge planning, and spiritual assessment are key focus areas for enhancing patient satisfaction and improving overall care. Community resources, financial assistance, and durable medical equipment are essential for ensuring accessibility and affordability. Caregiver training and volunteer services are integral to supporting families and enhancing the patient experience. Symptom management, pain control, and nutritional support are ongoing priorities for hospice care. The market's continuous evolution reflects the diverse needs of patients and families, requiring a comprehensive approach to care that integrates medical, emotional, and spiritual support.

How is this Hospice Industry segmented?

The hospice industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

End-user

  Home settings
  Hospitals
  Specialty nursing homes
  Hospice care centers


Type

  Nursing services
  Medical supply services
  Physician services
  Other services


Geography

  North America

    US
    Canada


  Europe

    Germany
    UK


  APAC

    China


  Rest of World (ROW)

By End-user Insights

The home settings segment is estimated to witness significant growth during the forecast period.

In the realm of healthcare, hospice care has emerged as a significant solution for individuals with chronic illnesses or those recovering from acute hospitalization. Hospice services encompass a range of social and medical offerings tailored to patients' needs. Registered and licensed nurses, therapists, dieticians, case managers, and nutritionists are among the professionals providing care. Home health aides, personal caregivers, and daily chores assistance are also included. These services extend to essential products, devices, and solutions for home settings. Hospice care goes beyond medical care, encompassing spiritual assessment, family support groups, and bereavement services. Outpatient hospice and inpatient hospice cater to varying patient requirements.

Quality indicators, discharge planning, and symptom management are integral components of hospice care. Caregiver training, volunteer services, and physician services ensure comprehensive patient care. Financial assistance, durable medical equipment, medication management, wound care, home infusion t

In Great Britain, ** care homes opened in 2020. This represented a decrease compared to the previous year, where ** care homes opened across the country. Such a decrease could be the direct result of the coronavirus pandemic.

Totals and percentages of nursing and residential care facility residents by age group and gender, by 2017 NAICS (North American Industry Classification System), for Canada, provinces and territories, annual.

Created for the 2023-2025 State of Black Los Angeles County (SBLA) interactive report. To learn more about this effort, please visit the report home page at https://ceo.lacounty.gov/ardi/sbla/. For more information about the purpose of this data, please contact CEO-ARDI. For more information about the configuration of this data, please contact ISD-Enterprise GIS. table_name indicator_name Universe source timeframe source_url

life_expectancy_countyhealthrankings_2020 Life Expectancy Total Population County Health Rankings 2018-2020 https://www.countyhealthrankings.org/app/california/2022/measure/outcomes/147/data

obese_est_adult_lachs_2018 Obese Estimate (#) Adults (Ages 18 Years and Older) LAC Health Survey 2018 www.publichealth.lacounty.gov/ha/LACHSDataTopics2018.htm

obese_perc_adult_lachs_2018 Obese Percent (%) Adults (Ages 18 Years and Older) LAC Health Survey 2018www.publichealth.lacounty.gov/ha/LACHSDataTopics2018.htm

overweight_est_adult_lachs_2018 Overweight Estimate (#) Adults (Ages 18 Years and Older) LAC Health Survey 2018 www.publichealth.lacounty.gov/ha/LACHSDataTopics2018.htm

overweight_perc_adult_lachs_2018 Overweight Percent (%) Adults (Ages 18 Years and Older) LAC Health Survey 2018 www.publichealth.lacounty.gov/ha/LACHSDataTopics2018.htm

diabetes_est_adult_lachs_2018 Ever Diagnosed with Diabetes Estimate (#) Adults (Ages 18 Years and Older) LAC Health Survey 2018 www.publichealth.lacounty.gov/ha/LACHSDataTopics2018.htm

diabetes_perc_adult_lachs_2018 Ever Diagnosed with Diabetes Percent (%) Adults (Ages 18 Years and Older) LAC Health Survey 2018 www.publichealth.lacounty.gov/ha/LACHSDataTopics2018.htm

regular_source_of_care_est_adult_lachs_2018 Reported Having a Regular Source of Health Care Estimate (#) Adults (Ages 18 Years and Older) LAC Health Survey 2018www.publichealth.lacounty.gov/ha/LACHSDataTopics2018.htm

regular_source_of_care_perc_adult_lachs_2018 Reported Having a Regular Source of Health Care Percent (%) Adults (Ages 18 Years and Older) LAC Health Survey 2018 www.publichealth.lacounty.gov/ha/LACHSDataTopics2018.htm

depression_est_adult_lachs_2018 Ever Diagnosed with Depression Estimate (#) Adults (Ages 18 Years and Older) LAC Health Survey 2018www.publichealth.lacounty.gov/ha/LACHSDataTopics2018.htm

depression_perc_adult_lachs_2018 Ever Diagnosed with Depression Percent (%) Adults (Ages 18 Years and Older) LAC Health Survey 2018www.publichealth.lacounty.gov/ha/LACHSDataTopics2018.htm

perceived_safe_est_adult_lachs_2018 Perceived Their Neighborhood to Be Safe from Crime Estimate (#) Adults (Ages 18 Years and Older) LAC Health Survey 2018 www.publichealth.lacounty.gov/ha/LACHSDataTopics2018.htm

perceived_safe_perc_adult_lachs_2018 Perceived Their Neighborhood to Be Safe from Crime Estimate (%) Adults (Ages 18 Years and Older) LAC Health Survey 2018 www.publichealth.lacounty.gov/ha/LACHSDataTopics2018.htm

dental_care_est_child_lachs_2018 Had Dental Care within the past Year Estimate (#) Children (Ages 17 Years and Younger) LAC Health Survey 2018www.publichealth.lacounty.gov/ha/LACHSDataTopics2018.htm

dental_care_perc_child_lachs_2018 Had Dental Care within the past Year Percent (%) Children (Ages 17 Years and Younger) LAC Health Survey 2018www.publichealth.lacounty.gov/ha/LACHSDataTopics2018.htm

no_usual_source_est_chis_2020 No usual source of care Estimate (#) Total Population California Health Interview Survey 2020 https://ask.chis.ucla.edu/AskCHIS/tools/_layouts/AskChisTool/home.aspx

no_usual_source_perc_chis_2020 No usual source of care Percent (%) Total Population California Health Interview Survey 2020 https://ask.chis.ucla.edu/AskCHIS/tools/_layouts/AskChisTool/home.aspx

delayed_care_est_chis_2020 Delayed or didn't get medical care last year Estimate (#) Total Population California Health Interview Survey 2020 https://ask.chis.ucla.edu/AskCHIS/tools/_layouts/AskChisTool/home.aspx

delayed_care_est_chis_2020 Delayed or didn't get medical care last year Percent (%) Total Population California Health Interview Survey 2020 https://ask.chis.ucla.edu/AskCHIS/tools/_layouts/AskChisTool/home.aspx

covid_vax_one_or_more_est_2022 COVID-19 Vaccination 1+ Dose Estimate (#) Population 6 months and older LAC DPH Sep-22 publichealth.lacounty.gov/media/coronavirus/vaccine/vaccine-dashboard.htm

covid_vax_one_or_more_perc_2022 COVID-19 Vaccination 1+ Dose Percent (%) Population 6 months and older LAC DPH Sep-22 publichealth.lacounty.gov/media/coronavirus/vaccine/vaccine-dashboard.htm

covid_vax_full_est_2022 COVID-19 Fully Vaccinated Estimate (#) Population 6 months and older LAC DPH Sep-22publichealth.lacounty.gov/media/coronavirus/vaccine/vaccine-dashboard.htm

covid_vax_full_perc_2022 COVID-19 Fully Vaccinated Percent (%) Population 6 months and older LAC DPH Sep-22 publichealth.lacounty.gov/media/coronavirus/vaccine/vaccine-dashboard.htm

covid_vax_one_or_more_children_est_2022 COVID-19 Vaccination 1+ Dose - Children under 5 Estimate (#) Population older than 6 months and under 5 years LAC DPH Sep-22 publichealth.lacounty.gov/media/coronavirus/vaccine/vaccine-dashboard.htm

covid_vax_one_or_more_children_perc_2022 COVID-19 Vaccination 1+ Dose Children under 5 Percent (%) Population older than 6 months and under 5 years LAC DPH Sep-22 publichealth.lacounty.gov/media/coronavirus/vaccine/vaccine-dashboard.htm

covid_vax_one_or_more_youth_est_2022 COVID-19 Vaccination 1+ Dose - Youth 5-17 Estimate (#) Population 5-17 years LAC DPH Sep-22publichealth.lacounty.gov/media/coronavirus/vaccine/vaccine-dashboard.htm

covid_vax_one_or_more_youth_perc_2022 COVID-19 Vaccination 1+ Dose Youth 5-17 Percent (%) Population 5-17 years LAC DPH Sep-22 publichealth.lacounty.gov/media/coronavirus/vaccine/vaccine-dashboard.htm

covid_vax_one_or_more_adults_est_2022 COVID-19 Vaccination 1+ Dose - Adults Estimate (#) Population 18 and older LAC DPH Sep-22 publichealth.lacounty.gov/media/coronavirus/vaccine/vaccine-dashboard.htm

covid_vax_one_or_more_adults_perc_2022 COVID-19 Vaccination 1+ Dose Adults Percent (%) Population 18 and older LAC DPH Sep-22 publichealth.lacounty.gov/media/coronavirus/vaccine/vaccine-dashboard.htm

insured_pop_est_acs_2020 Insured population # Civilian noninstitutionalized population 2016-2020 ACS - S2701 https://data.census.gov/cedsci/table?g=0500000US06037&tid=ACSST5Y2020.S2701

insured_pop_perc_acs_2020 Insured population % Civilian noninstitutionalized population 2016-2020 ACS - S2701 https://data.census.gov/cedsci/table?g=0500000US06037&tid=ACSST5Y2020.S2701

mch_indicators_2019 Babies Born with Positive MCH Indicators Babies born in time frame Strong Start Index 2016-2019 https://infogram.com/1pj576jwy166z1s6ywvk32l5lkammrym3wy?live

current_asthma Percent of Adults (Ages 18 Years and Older) with Current Asthma Adults Los Angeles County Health Survey 2018 https://www.publichealth.lacounty.gov/ha/HA_DATA_TRENDS.htm

no_med_insurance Percent of Insured Adults (Ages 18 Years and Older) Who Reported a Time Without Medical Insurance in the past 12 Months. Adults Los Angeles County Health Survey 2011 https://www.publichealth.lacounty.gov/ha/HA_DATA_TRENDS.htm

transportation_problems Percent of Adults (Ages 18 Years and Older) Who Reported That Transportation Problems Kept Them from Obtaining Needed Medical Care in the past Year. Adults Los Angeles County Health Survey 2007 https://www.publichealth.lacounty.gov/ha/HA_DATA_TRENDS.htm

Snapshot img

Aged Care Market 2024-2028

The aged care market size is estimated to grow at a CAGR of 5.72% between 2023 and 2028. The market size is forecast to increase by USD 343.71 million. The accelerated growth of the market is due to various factors, including the rising demand for aged care services, the aging baby boomer population, and the rising adoption of eco-friendly and sustainable practices in aged care facilities.

The report offers extensive research analysis on the Aged Care Market, with a categorization based on Service, including home care, institutional care, and adult day care. It further segments the market by Type, encompassing public and private. Additionally, the report provides Geographical segmentation, covering APAC, Europe, North America, the Middle East and Africa, and South America. Market size, historical data (2018-2022), and future projections are presented in terms of value (in USD million) for all the mentioned segments.

What will be the Size of the Aged Care Market During the Forecast Period?

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Aged Care Market: Key Drivers, Trends and Challenges

Our researchers analyzed the data with 2023 as the base year, along with the key drivers, trends, and challenges. A holistic analysis of drivers will help companies refine their marketing strategies to gain a competitive advantage.

Key Aged Care Market Driver

One of the key factors driving the aged care market growth is the aging Baby Boomer population. One of the most significant demographic trends across the world in the current scenario includes the growing population of individuals aged 65 years and older. In addition, baby boomers are individuals born between 1946 and 1964. Therefore, as the number of retired Baby Boomers who are aging increases, there will be an increase in the need for nursing care.

Moreover, the obesity rate among elderly people is on the rise, which has resulted in more people facing the risk of disability and chronic diseases. Therefore, in such cases, it becomes challenging for family members to take care of their older family members. Hence, old age communities are suitable options for a comfortable and healthy life as they offer assisted living options along with certified nursing care. Thus, such factors are positively impacting the market which in turn drives the market growth during the forecast period.

Key Aged Care Market Trends

A key factor shaping the aged care market growth is the technological advancements in aged care. There are several technological advancements in the e global aged care market, especially in the integration of telemedicine, wearable devices, and smart home solutions. In addition, these innovations are revolutionizing the delivery of care for aged people, empowering them to access enhanced medical support and personalized assistance while fostering independence and overall well-being.

Moreover, the widespread adoption of telemedicine is fuelling the growth of technological advances in aged care. In addition, healthcare providers are leveraging telemedicine to offer remote medical consultations, monitor chronic health conditions, and deliver timely interventions to aged people, irrespective of their geographical location. Hence, such factors are positively impacting the market which in turn drives the market growth during the forecast period.

Key Aged Care Market Challenge

Low savings of Baby Boomers are one of the key challenges hindering the aged care market growth. There is a growing number of Baby Boomers retiring each day. However, most of them do not have enough retirement funds. In addition, several individuals in the age bracket of 50-70 years lack proper retirement planning, which results in little effort to secure a comfortable life after retirement.

Moreover, the lack of adequate retirement funds will hinder investments in home care facilities, as even basic old age or aged care homes require substantial initial investments. In addition, limited financial knowledge poses a challenge in terms of the criticality of savings, especially for emergency or retirement funding. Hence, such factors are negatively affecting the market which in turn hinders the market growth during the forecast period.

Aged Care Market Customer Landscape

The market research report includes the adoption lifecycle of the market, covering from the innovator’s stage to the laggard’s stage. It focuses on adoption rates in different regions based on penetration. Furthermore, the report also includes key purchase criteria and drivers of price sensitivity to help companies evaluate and develop their growth strategies.

Global Aged Care Market Customer Landscape

Who are the Major Aged Care Market Companies?

Companies are implementing various strategies, such as strategic alliances, partnerships, mergers and acquisitions, geographical expansion, and product/service launch

This graph shows the value of Home Care Nursing Service Expenses (SSIAD) for seniors in France from 2010 to 2018. It shows that in 2018, home nursing expenses for seniors were more than *** billion euros.

BackgroundThe number of empty nest elderly in China has gradually increased in recent years. There is growing concern about the physical and mental health of this population as empty nest elderly are commonly at the risk of compromising health, home safety and quality of life. This study reported the health and well-being of empty nest elderly with regards to their health status, depression and satisfaction, lifestyle as compared to non-empty nest elderly in China.MethodsData was collected from the 2018 follow-up interviews of China Health and Retirement Longitudinal Survey. We included 4,630 empty nest elderly and 6,188 non-empty nest elderly. Chi-square Test and Logistic Regression were used to compare the differences between these two groups.ResultsAs compared to the non-empty nest elderly, there was higher proportion of empty nest elderly who suffered from dyslipidemia, diabetes, chronic lung diseases, heart attack (27.0% vs. 25.0%; 16.6% vs. 15.1%; 19.4% vs. 16.4%; 26.3% vs. 23.4%, P < 0.05). The empty nest elderly had higher proportion of participants who drank more than once a month (25.3% vs. 23.9%, P < 0.05), who felt satisfied with their marriage (71.6% vs. 66.2%, P < 0.001), who were satisfied with their children’s relationship (85.2% vs. 83.2%, P < 0.001). However, these significances disappeared in the Logistic Regression analysis (P > 0.05).ConclusionOur study showed that significant between-group difference was found between empty nest elderly and non-empty nest elderly in their health and wellbeing. However, disappearance of such difference in the multivariable analysis may indicate improved health and wellbeing among the empty nest elderly. Even though our study still suggested the importance of improving the health, lifestyles and family dynamics of the elderly and promoting the integration of health and social care for the elderly, especially among the empty nest elderly.

BackgroundThe number of empty nest elderly in China has gradually increased in recent years. There is growing concern about the physical and mental health of this population as empty nest elderly are commonly at the risk of compromising health, home safety and quality of life. This study reported the health and well-being of empty nest elderly with regards to their health status, depression and satisfaction, lifestyle as compared to non-empty nest elderly in China.MethodsData was collected from the 2018 follow-up interviews of China Health and Retirement Longitudinal Survey. We included 4,630 empty nest elderly and 6,188 non-empty nest elderly. Chi-square Test and Logistic Regression were used to compare the differences between these two groups.ResultsAs compared to the non-empty nest elderly, there was higher proportion of empty nest elderly who suffered from dyslipidemia, diabetes, chronic lung diseases, heart attack (27.0% vs. 25.0%; 16.6% vs. 15.1%; 19.4% vs. 16.4%; 26.3% vs. 23.4%, P < 0.05). The empty nest elderly had higher proportion of participants who drank more than once a month (25.3% vs. 23.9%, P < 0.05), who felt satisfied with their marriage (71.6% vs. 66.2%, P < 0.001), who were satisfied with their children’s relationship (85.2% vs. 83.2%, P < 0.001). However, these significances disappeared in the Logistic Regression analysis (P > 0.05).ConclusionOur study showed that significant between-group difference was found between empty nest elderly and non-empty nest elderly in their health and wellbeing. However, disappearance of such difference in the multivariable analysis may indicate improved health and wellbeing among the empty nest elderly. Even though our study still suggested the importance of improving the health, lifestyles and family dynamics of the elderly and promoting the integration of health and social care for the elderly, especially among the empty nest elderly.

Adult respondents 18+ who had a body mass index (BMI) of 30.0 or above. Years covered are from 2013-2014 by zip code. Data taken from the California Health Interview Survey Neighborhood Edition (AskCHIS NE) (http://askchisne.ucla.edu/), downloaded February 2018.AskCHIS Neighborhood Edition is an online data dissemination and visualization platform that provides health estimates at sub-county geographic regions. Estimates are powered by data from The California Health Interview Survey (CHIS). CHIS is conducted by The UCLA Center for Health Policy Research, an affiliate of UCLA Fielding School of Public Health.Health estimates available in AskCHIS NE (Neighborhood Edition) are model-based small area estimates (SAEs).SAEs are not direct estimates (estimates produced directly from survey data, such as those provided through AskCHIS).CHIS data and analytic results are used extensively in California in policy development, service planning and research, and is recognized and valued nationally as a model population-based health survey.Before using estimates from AskCHIS NE, it is recommended that you read more about the methodology and data limitations at: http://healthpolicy.ucla.edu/Lists/AskCHIS%20NE%20Page%20Content/AllItems.aspx. You can go to http://askchisne.ucla.edu/ to create your own account.Produced by The California Health Interview Survey and The UCLA Center for Health Policy Research and compiled by the Los Angeles County Department of Public Health. "Field Name = Field Definition"Zipcode" = postal zip code in the City of Los Angeles “Percent” = estimated percentage of adult respondents ages 18+ who had a body mass index (BMI) of 30.0 or above 18 and older residing in zip code "LowerCL" = the lower 95% confidence limit represents the lower margin of error that occurs with statistical sampling"UpperCL" = the upper 95% confidence limit represents the upper margin of error that occurs in statistical sampling "Population" = estimated population 18 and older (denominator) residing in the zip code Notes: 1) Zip codes are based on the Los Angeles Housing Department Zip Codes Within the City of Los Angeles map (https://media.metro.net/about_us/pla/images/lazipcodes.pdf).2) Zip codes that did not have data available (i.e., null values) are not included in the dataset; there are additional zip codes that fall within the City of Los Angeles.3) Zip code boundaries do not align with political boundaries. These data are best viewed with a City of Los Angeles political boundary file (i.e., City of Los Angeles jurisdiction boundary, City Council boundary, etc.) FAQS: 1. Which cycle of CHIS does AskCHIS Neighborhood Edition provide estimates for?All health estimates in this version of AskCHIS Neighborhood Edition are based on data from the 2013-2014 California Health Interview Survey. 2. Why do your population estimates differ from other sources like ACS? The population estimates in AskCHIS NE represent the CHIS 2013-2014 population sample, which excludes Californians living in group quarters (such as prisons, nursing homes, and dormitories). 3. Why isn't there data available for all ZIP codes in Los Angeles?While AskCHIS NE has data on all ZCTAs (Zip Code Tabulation Areas), two factors may influence our ability to display the estimates:A small population (under 15,000): currently, the application only shows estimates for geographic entities with populations above 15,000. If your ZCTA has a population below this threshold, the easiest way to obtain data is to combine it with a neighboring ZCTA and obtain a pooled estimate.A high coefficient of variation: high coefficients of variation denote statistical instability.