People in Oslo are healthiest in Norway
The decrease in daily smoking is one example of improved health behaviour. However, other lifestyle habits are changing at a slower pace. Weight (BMI) is increasing at a country level. For example, fewer people suffer from being overweight and obesity in Oslo, while Oppland, Telemark, Nord-Trøndelag and Finnmark are well above the national average. The healthiest part of the population lives in Oslo.
|2015||Change from 2005 to 2015 (percentage points)||2015||Change from 2005 to 2015 (percentage points)||2015||Change from 2005 to 2015 (percentage points)|
|1The is a significant change from 2005 to 2015 for smoking, obesity and soft drinks with sugar on a country level (0.05) . The change in this period for men and women is significant for smoking and obesity at a 0.05 level. The decline in soda drinking is significant for women at a 0.05 level, while men's decline is significant at a 0.1 level.|
|2Change in dental health is from 2008 to 2015.|
|Very good or good health||79||-2||81||-1||78||-2|
|Very good or good dental health2||76||1||74||0||79||3|
|Overweight or obese (BMI=27 or above)||28||4||33||5||23||4|
|Drinks soft drinks containing sugar daily||15||-3||21||-3||10||-3|
Women have more health-promoting lifestyle habits than men. They are less likely to be overweight, are more active and consume less sugary soft drinks. Daily smoking and drinking of sugary soft drinks have dropped among both women and men, but weight is increasing. These are some of the results of the survey on health, care and social relations conducted in 2015.
Best health in the capital
For the first time, Statistics Norway is presenting results from the survey on health at a county level. In some counties, the population appears to fare better compared to the national average and to other counties in several of the variables that are registered in the survey. For example, Oslo has many people with good self-assessed health and good dental health, and many with healthy lifestyle habits. Only 19 per cent of the population of Oslo is overweight (BMI of 27 or more) compared to the national average of 28 per cent. Fewer people in Oslo also drink sugary soft drinks every day, and more people walk at least half an hour a day– 38 as opposed to 28 per cent.
Regional clustering of unfavourable health behaviour?
The counties where many are overweight, eat little fruit and vegetables, drink a lot of sugary soft drinks and do not take much exercise, are also the counties with the lowest life expectancy, and lowest increase in life expectancy over time. Even if the picture is not quite consistent, there are still some counties that have an accumulation of unfavourable health behaviour.
More obese women in Hedmark and Telemark
Women in the counties Østfold, Hedmark, Nordland and Finnmark are above the national average in the percentage that never exercises. Furthermore, the percentage of women who are overweight is higher in Oppland, Telemark, Nord-Trøndelag and Troms compared to the national average (23 per cent), while Hedmark and Telemark have the highest shares of obese women compared to women in other parts of the country.
Women living in Østfold, Telemark, Oppland and Finnmark have a lower life expectancy than the national average for women. Aust-Agder has also had a slower growth in life expectancy among women than in other counties.
One in four men in Østfold never exercise
Country-figures show that one in three men is overweight. Men in Telemark, Møre og Romsdal, Nordland and Finnmark on, are well above the national average when it comes to being overweight. One in two men living in Finnmark are overweight (BMI >= 27).
One in four men in Østfold never exercises. Nevertheless, men in Østfold do not seem to have more of an obesity problem than the average for men in the rest of the country, even though they are eager consumers of sugary soft drinks.
Men living in Østfold, Telemark, Hedmark Aust-Agder and Finnmark have the lowest life expectancy. Men living in Hedmark and Oppland have had the least favourable development of life expectancy over the last 30 years
Healthy youths, but 40-year-olds should be careful
There has been a major decrease in daily smoking, but little change in occasional smoking among young men aged 16-24 years. The use of snuff has remained at a relatively high level, slightly above 20 per cent. Among men aged 25-44 years, 13 per cent are daily smokers and 20 per cent take snuff on a daily basis.
There are large disparities between the youngest men and those slightly older (25-44 years) when it comes to exercise habits. More of the youngest men exercise at least once a week, than the slightly older men, and three times as many men in the age group 25-44 years are obese as in the age group 16-24 years.
Young women healthier than young men
Young women eat more fruit and vegetables than young men. They also drink less sugary soft drinks. One in three young men and one in three young women drinks sugary soft drinks once a day or more often.
There has been a marked decrease in daily smoking among young women, and occasional smoking is also down. More and more women are taking snuff in both age groups. The percentage of young women taking snuff has tripled from 2008 to 2015.
The youngest women and youngest men exercise to a similar degree. However, more of the young women 24-44 years, than young men, say that they exercise at least once a week, while fewer say they never exercise. Obesity is not particularly common among the youngest women, but the percentage doubles for women in the age group 25-44 years.
Data from the health interview survey is representative for counties and the whole country, for the population living in private households. A sample of 8164 persons aged 16 years and over was interviewed by telephone. The response rate in 2015 was 59 per cent. Since this survey has been merged with the European Health Interview Survey (EHIS), some indicators are no longer comparable.
Since county figures are based on small samples, around 400 people net per county, and 800 for Oslo, the county figures are associated with greater uncertainty than the figures for the region and the country. The figures must therefore be interpreted with caution.
The greatest uncertainty will be for analyses by gender and county, and numbers based on such small sub-samples will often not be statistically reliable at 0.05 level.
See more figures for health and illness, symptoms, disability, need for care and use of health and care services related to characteristics in the population.