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1.
Scand J Public Health ; 50(5): 542-551, 2022 Jul.
Article in English | MEDLINE | ID: mdl-33908292

ABSTRACT

AIM: Understanding whether increasing Life Expectancy (LE) translates to improved health and function among older adults is essential, but results are inconclusive. We aimed to estimate trends in Disability-Free Life Expectancy (DFLE) in the older Norwegian population by sex and education from 1995 to 2017. METHOD: National life table data were combined with cross-sectional data on functional ability for 70+ year-olds from the population-based Trøndelag Health Surveys 2-4 (1995-1997, 2006-2008 and 2017-2019) (n=24,733). Self-reported functional ability was assessed on a graded scale by a combination of Instrumental Activities of Daily Living (IADL) such as paying bills, going out or shopping (mild disability) and Personal Activities of Daily Living (PADL) such as washing, dressing or eating (severe disability). LE, DFLE, Mild-Disability LE and Severe-Disability LE at age 70 were estimated by the Sullivan method. RESULTS: From 1995 to 2017 DFLE at age 70 increased from 8.4 to 13.0 years in women, and from 8.0 to 12.1 years in men. DFLE increased in the basic and high educational groups, but more so in the high educational group among men. Educational inequalities in years spent with disability however, remained low. CONCLUSIONS: From the mid-1990s and over the past three decades both LE and DFLE at 70 years increased in the older Norwegian population, for both men and women, and across basic and high educational levels. Educational inequalities in DFLE increased, especially in men, but years spent with disability were similar across the three decades.


Subject(s)
Activities of Daily Living , Disabled Persons , Aged , Cross-Sectional Studies , Female , Healthy Life Expectancy , Humans , Life Expectancy , Male
2.
BMC Public Health ; 20(1): 900, 2020 Jun 10.
Article in English | MEDLINE | ID: mdl-32522193

ABSTRACT

BACKGROUND: Lifestyle behaviours are potential risk factors for disease and mortality, but less is known about the association with health in retirement age. The aim of this paper was to study the prevalence, clustering and combined effects of lifestyle behaviours and their association with health outcomes in the first decade after retirement in a Norwegian cohort. METHODS: Participants were 55-64-year-olds at baseline in the Nord-Trøndelag Health Survey 2 (HUNT2, 1995-97) who also participated in HUNT3 (2006-08). Logistic regression analyses were used to investigate the association of daily smoking, physical inactivity, risky alcohol consumption, disturbed sleep duration, excessive sitting time and low social participation before retirement with self-rated health (n = 4022), life satisfaction (n = 5134), anxiety (n = 4461) and depression (n = 5083) after retirement, 11 years later. RESULTS: Low social participation and physical inactivity were the most prevalent lifestyle behaviours (41.1 and 40.6%). Risky alcohol consumption and disturbed sleep were the lifestyle behaviours most strongly associated with poor self-rated health, poor life satisfaction and anxiety after retirement (OR's = 1.39-1.92). Physical inactivity was additionally associated with depression (OR = 1.44 (1.12-1.85)). Physical inactivity had the largest population attributable fractions for reducing poor self-rated health and depression (14.9 and 8.8%). An increasing number of lifestyle risk behaviours incrementally increased the risk for the adverse health outcomes. CONCLUSIONS: Risky alcohol consumption and disturbed sleep duration were most strongly associated with poor health outcomes after retirement age. On a population level, increased physical activity before retirement had the largest potential for reducing adverse health outcomes after retirement age.


Subject(s)
Health Status , Life Style , Aged , Alcohol Drinking/epidemiology , Cohort Studies , Exercise , Female , Health Surveys , Humans , Male , Mental Health , Middle Aged , Norway/epidemiology , Prevalence , Prospective Studies , Regression Analysis , Retirement , Risk Factors , Risk-Taking , Sedentary Behavior , Sleep Wake Disorders/epidemiology , Smoking/epidemiology , Social Participation
3.
BMC Geriatr ; 20(1): 21, 2020 01 21.
Article in English | MEDLINE | ID: mdl-31964341

ABSTRACT

BACKGROUND: With increasing age, having multiple chronic conditions is the norm. It is of importance to study how co-existence of diseases affects functioning and mortality among older persons. Complex multimorbidity may be defined as three or more conditions affecting at least three different organ systems. The aim of this study was to investigate how complex multimorbidity affects activities of daily living and mortality amongst older Norwegians. METHODS: Participants were 60-69-year-olds at baseline in the Nord-Trøndelag Health Study 1995-1997 (HUNT2) n = 9058. Multinomial logistic regression models were used to investigate the association between complex multimorbidity in HUNT2, basic and instrumental activities of daily living in HUNT3 (2006-2008) and mortality during follow-up (n = 5819/5836). Risk ratios (RR) and risk differences (RD) in percentage points (pp) with 95% confidence intervals (CI) were reported. RESULTS: 47.8% of 60-69-year-olds met the criteria of complex multimorbidity at baseline (HUNT2). Having complex multimorbidity was strongly associated with the need for assistance in IADL in HUNT3 11 years later (RR = 1.80 (1.58-2.04) and RD = 8.7 (6.8-10.5) pp) and moderately associated with mortality during the follow-up time (RR = 1.22 (1.12-1.33) and RD = 5.1 (2.9-7.3) pp). Complex multimorbidity was to a lesser extent associated with basic activities of daily living 11 years later (RR = 1.24 (0.85-1.83) and RD = 0.4 (- 0.3-1.1) pp). CONCLUSIONS: This is the first study to show an association between complex multimorbidity and activities of daily living. Complex multimorbidity should receive more attention in order to prevent future disability amongst older persons.


Subject(s)
Activities of Daily Living , Multimorbidity , Aged , Cohort Studies , Female , Humans , Male , Middle Aged , Norway/epidemiology , Prospective Studies
4.
Scand J Public Health ; 46(1): 124-131, 2018 Feb.
Article in English | MEDLINE | ID: mdl-29191110

ABSTRACT

AIMS: Norway is experiencing a rising life expectancy combined with an increasing dependency ratio - the ratio of those outside over those within the working force. To provide data relevant for future health policy we wanted to study trends in total and healthy life expectancy in a Norwegian population over three decades (1980s, 1990s and 2000s), both overall and across gender and educational groups. METHODS: Data were obtained from the HUNT Study, and the Norwegian Educational Database. We calculated total life expectancy and used the Sullivan method to calculate healthy life expectancies based on self-rated health and self-reported longstanding limiting illness. The change in health expectancies was decomposed into mortality and disability effects. RESULTS: During three consecutive decades we found an increase in life expectancy for 30-year-olds (~7 years) and expected lifetime in self-rated good health (~6 years), but time without longstanding limiting illness increased less (1.5 years). Women could expect to live longer than men, but the extra life years for females were spent in poor self-rated health and with longstanding limiting illness. Differences in total life expectancy between educational groups decreased, whereas differences in expected lifetime in self-rated good health and lifetime without longstanding limiting illness increased. CONCLUSIONS: The increase in total life expectancy was accompanied by an increasing number of years spent in good self-rated health but more years with longstanding limiting illness. This suggests increasing health care needs for people with chronic diseases, given an increasing number of elderly. Socioeconomic health inequalities remain a challenge for increasing pensioning age.


Subject(s)
Health Status Disparities , Life Expectancy/trends , Adult , Aged , Aged, 80 and over , Cross-Sectional Studies , Female , Humans , Male , Middle Aged , Norway , Socioeconomic Factors
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