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Family origin and mortality: prospective Finnish cohort study

Contributed equally
BMC Public Health201111:385

DOI: 10.1186/1471-2458-11-385

Received: 21 January 2011

Accepted: 25 May 2011

Published: 25 May 2011

Abstract

Background

Death rates are notably higher in eastern Finland than in western Finland, and life expectancy of Finnish speakers shorter than that of Swedish speakers. The mortality differences correspond to recent genetic mappings of the population and are prominent for causes of death that are known to be associated with genetic risk factors.

Methods

Using intergenerational data, we studied the impact of parental birth area on all-cause mortality risks of middle-aged men in Finland 1985-2003, assuming that geographic family origin reflects genetic predisposition to complex disorders. Relative death risks at ages 30-49 years were estimated by parental birth region and ethnicity, according to Cox regressions standardised for own education, family type at childhood, and year of birth.

Results

The death risk of Finnish speakers born in eastern Finland was 1.13 (95% confidence interval 1.01 to 1.26) that of Finnish speakers born in western Finland, whereas that of Swedish speakers was only 0.60 (0.52 to 0.71). In Finnish speakers, the effects of own birth area and area of residence disappeared when parental birth area was accounted for. The death risk of persons with at least one parent born in eastern Finland was 1.23 (1.09 to 1.39) that of people with both parents born in western Finland.

Conclusions

Parental birth area is the driving force behind the regional mortality difference in Finland. The findings highlight and give further support for the potentially important role of genetic risk factors in mortality. Close monitoring of persons' geographic and ethnic ancestry may promote public health and avoid many early deaths.

Background

Two of the most distinctive features of overall mortality in Finland are that death rates increase in the southwest to northeast direction and that life expectancy of Finnish speakers is shorter than that of Swedish speakers [1]. Both these aspects conform to recent genetic mappings [2, 3]. There are differences in the genetic architecture that increase in the southwest to northeast direction, and Swedish speakers in Finland have been found genetically closer to Swedes than to Finnish speakers. The variation owes to the country's settlement history. Finns are unique on the genetic map of Europe, because they were at one time a small and geographically isolated population.

Being born in a high-mortality area in Finland is associated with a 10-30 per cent higher risk of dying from ischemic heart disease at high ages, as compared with being born in a low-mortality area [4]. A similar geographical pattern dominated by people's birth region has been observed for deaths from other common causes and in various age groups [57]. Hence, hereditary components might lie behind many deaths from cardiovascular diseases as well as external causes such as suicides and alcohol-related deaths. Many diseases, such as coronary heart disease, psychiatric disorders and alcoholism, are nowadays known to be associated with genetic susceptibility [810].

Taken together, these findings illustrate that, in the particular case of Finland, large-scale register data have the potential of shedding light on the question of how human genetic diversity manifests in mortality risks at the population level, even if they lack explicit genetic information and biomarkers. The country's settlement history consequently provides a rationale for interpreting the regional mortality differences as reflecting geographic clustering of hereditary factors. No explicit link between the mortality variation and genetic differences has yet been established, however.

All previous studies on the effect of geographic ancestry on mortality risks in Finland have studied the influence of persons' own birthplace as compared to that of their current place of residence. That approach for reflecting geographic origin may be contaminated by the past decades' internal migration flows. The birthplace of a parent, on the other hand, is a substantially better indicator of geographic family origin, as it widens the time horizon and is not confounded by person-specific environmental or behavioural factors.

This paper constitutes the first large-scale study of the Finnish regional mortality differences with focus on the influence of parental birth area. The opportunity was provided by recently available intergenerational data from longitudinal population registers. Assuming that geographic family origin reflects hereditary factors that influence mortality, we expected to find an effect of parental birth area on death risks irrespective of where the study persons were born or living as adults. Hence, even if people were born and raised in a low-mortality area, they would have an elevated death risk if a parent was born in a high-mortality area.

Methods

The data came from the longitudinal population registers of Statistics Finland and covered the period 1970-2003. The part used here consists of an eight per cent sample of all Finnish speakers, and an additional 50% sample of all Swedish speakers. The latter constitute a national minority of barely six per cent of the total population. Basic demographic and socioeconomic variables are available for every fifth year, based on the quinquennial population censuses. Deaths from all causes and emigration are known for each year. For all persons born after 1953, there is corresponding information for the parents.

The structure implies that individuals could be observed at most up to the year when they become 50 years. Since there are few deaths at childhood, adolescence, and young adulthood, we started observing individuals from the year in which they became 30 years. The analyses consequently concerned ages 30-49 years, the period 1985-2003, and people born 1953-1970. One-year death risks were estimated with Cox regressions using age as the duration variable.

Figure 1 illustrates the southwest to northeast increase in mortality rates standardised for age and calendar year, based on official aggregate statistics comprising the total male population by region for the period 1986-2005. The regions have been geographically numbered and coloured to facilitate comparisons. The thick broken line represents the most evident mortality difference, which roughly corresponds with the first national boundary between Sweden-Finland and Russia in 1323. A similar divide has been observed in terms of anthropology, folklore, and dialects [11].
https://static-content.springer.com/image/art%3A10.1186%2F1471-2458-11-385/MediaObjects/12889_2011_Article_3121_Fig1_HTML.jpg
Figure 1

Relative death rates by region in Finland, standardised for age and calendar year, men aged 35-49 years, 1986-2005 . Total Finland is equal to one. The classification is according to the 20 administrative regions, plus one category (number 7) that separates the Helsinki metropolitan area. Authors' calculations based on [12].

In the data, there is unfortunately no information about the cause of death. However, from previous research we know that the regional mortality variation is dominated by mortality from cardiovascular diseases, alcohol-related causes and suicides [5], which also are the most common main causes of death in men aged 30-49 years (Table 1, which is based on [12]). Mortality in same-aged women is outside the scope of this paper, as it is modest and dominated by various non-vascular diseases that display no evident regional pattern.
Table 1

Annual number of deaths and distribution of main causes of death in ages 30-49 years in Finland, 1986-2005

 

Men

Women

 

#

%

%

%

%

%

#

%

%

%

%

%

Age group

Deaths

Cardio-vascular

Alcohol-related

Suicides

Other external

Other diseases

Deaths

Cardio-vascular

Alcohol-related

Suicides

Other external

Other diseases

30-34

310

9.0

10.9

30.9

30.7

18.5

99

10.7

5.8

21.6

19.5

42.3

35-39

471

15.0

16.0

23.7

25.3

20.1

168

13.0

8.5

16.1

16.6

45.7

40-44

694

21.8

18.3

17.2

20.9

21.8

258

15.2

10.1

11.9

13.0

49.7

45-49

940

28.6

18.1

11.5

16.5

25.3

380

16.2

9.5

9.2

9.9

55.2

Annual number of deaths refers to the mean number per year for the period 1985 to 2005.

Main causes of death are according to Statistics Finland's 54-category short list of causes of death, which follows the ICD-10 classification. Cardiovascular causes refer to codes 27-30, Alcohol-related to code 41, Suicides to code 50, Other external to codes 42-49 and 51-54, and Other diseases to codes 1-26 and 31-40.

Authors' calculations based on [12].

To obtain enough statistical power for the analyses, a simplified regional categorisation was used. It distinguished two groups of Finnish speakers according to the east-west boundary mentioned above. For each region variable of interest - the person's area of residence (at age 30-34 years), the person's birth area, mother's birth area and father's birth area - the same categorisation was applied. A separate category was applied for the Swedish speakers, independent of their own birth area or parental birth area, because most of them originate in western Finland. As much as 97% of all Swedish speakers live in the regions that are white-coloured on the map, and only two per cent in other parts of the western area. The remaining one per cent was excluded from analysis.

We accounted for effects of some central personal characteristics in terms of each individual's birth year, educational level (primary, secondary, lower-degree tertiary, or higher-degree tertiary) and family type at childhood (one or two parents in the household at age 10-14 years). The latter was known because of the longitudinal structure of the data, meaning that all persons could be observed at the time when they were aged 10-14 years. All these variables are important mortality determinants in Finland [57]. There was information also about parental education and parental socioeconomic position. These variables were excluded from the models presented here, because they correlated strongly with the study persons' educational level, but had no impact on the estimates for the other variables.

Results

The unweighted data comprised 61531 persons, whereof 47434 were Finnish speakers and 14097 were Swedish speakers (Table 2). The total number of deaths was 1464. The importance of internal migration on the population structure can be seen from the distribution of Finnish speakers on the region variables. Approximately 60% of the Finnish speakers were born in western Finland, but almost two thirds had at least one parent from eastern Finland. Even among those who were both born and residing in western Finland, the share with at least one parent born in eastern Finland was as high as 40% (see next section). Two thirds of the birth cohorts were living in western Finland at age 30 years.
Table 2

Persons' characteristics

Variables

Number of persons

Percentage distribution

Number of deaths

Area of residence at age 30-34 years (or ethnicity)

   

   Western Finland

31695

51.5

788

   Eastern Finland

15739

25.6

469

   Swedish speaker

14097

22.9

207

Birth area (or ethnicity)

   

   Western Finland

28016

45.5

688

   Eastern Finland

19418

31.6

569

   Swedish speaker

14097

22.9

207

Mother's birth area (or ethnicity)

   

   Western Finland

21930

35.6

521

   Eastern Finland

25504

41.4

736

   Swedish speaker

14097

22.9

207

Father's birth area (or ethnicity)

   

   Western Finland

22233

36.1

516

   Eastern Finland

25201

41.0

741

   Swedish speaker

14097

22.9

207

Parents' birth area (or ethnicity)

   

   Both from western Finland

16895

27.5

375

   One from eastern Finland

10373

16.9

287

   Both from eastern Finland

20166

32.8

595

   Swedish speaker

14097

22.9

207

Educational level

   

   Primary

12668

20.6

556

   Secondary

29509

48.0

715

   Lower-degree tertiary

12665

20.6

144

   Higher-degree tertiary

6689

10.9

49

Family type at age 10-14 years

   

   Lived with both parents

55963

91.0

1319

   Lived with one parent

5568

9.0

145

Birth year

   

   1953-1955

10323

16.8

486

   1956-1960

17369

28.2

555

   1961-1965

17457

28.4

300

   1966-1970

16382

26.6

123

Total

61531

100.0

1464

In a first model, we included persons' area of residence and the control variables. The results, which are summarised in Table 3 highlight some known facts. People residing in eastern Finland had 12% higher death risks (95% confidence interval 1.00 to 1.26) than those residing in western Finland, whereas the death risk of Swedish speakers was 40% lower. In these ages, the ethnic-group mortality difference is the widest [6]. Also the control variables had substantial effects. Mortality risks decreased notably over educational levels and birth cohorts, whereas people raised in one-parent families had almost 40% higher death risks than those originating in two-parent households. The inclusion of these variables did not reduce the area or ethnic mortality difference, however.
Table 3

Mortality risk ratios (95% confidence intervals) in model with area of residence

Variables

Risk ratio

Wald(d.f.)

p-value

Area of residence at age 30-34 years (or ethnicity)

    

   Western Finland

Reference

58.60(2)

< 0.001

   Eastern Finland

1.12

(1.00 to 1.26)

  

   Swedish speaker

0.60

(0.51 to 0.70)

  

Educational level

    

   Primary

Reference

267.93(3)

< 0.001

   Secondary

0.58

(0.52 to 0.65)

  

   Lower-degree tertiary

0.28

(0.23 to 0.34)

  

   Higher-degree tertiary

0.20

(0.15 to 0.27)

  

Family type at age 10-14 years

    

   Lived with both parents

Reference

12.79(1)

< 0.001

   Lived with one parent

1.37

(1.15 to 1.63)

  

Birth year

    

   1953-1955

Reference

5.98(3)

0.11

   1956-1960

0.98

(0.86 to 1.12)

  

   1961-1965

0.90

(0.77 to 1.06)

  

   1966-1970

0.76

(0.61 to 0.95)

  

Number of persons is 61531. Number of deaths is 1464.

Wald statistic (degrees of freedom) and p-value are for the entire variable

We proceeded by focusing on the influence of each area variable (Table 4). The control variables were also included, but since the estimated effects were the same as reported above, they are not shown here. Replacing area of residence (model 1) with own birth area (model 2) or mother's birth area (model 3) slightly improved the Wald statistic and increased the area difference marginally. Father's birth area (model 4) had a stronger effect and improved the statistical fit relatively more. People with the father born in eastern Finland had 21% higher death risks (1.08 to 1.35) than those with the father born in western Finland.

When using either mother's birth area or father's birth area, the reference category is heterogeneous with respect to the study persons' geographic family origin, because the other parent may be born in eastern Finland. Simultaneously accounting for both parents' birth area (model 5) revealed that the offspring death risk was 23% higher (1.09 to 1.39) if at least one parent was born in eastern Finland, as compared with people whose both parents were born in western Finland. Having both parents from eastern Finland was associated with only a slightly higher mortality risk as compared with having only one parent from eastern Finland, however (model 6).
Table 4

Mortality risk ratios (95% confidence intervals) in models with alternative area variables

Model

Variable

Risk ratio

Wald(d.f.)

p-value

Model 1

Area of residence at age 30-34 years (or ethnicity)

    
 

Western Finland

Reference

58.60(2)

< 0.001

 

Eastern Finland

1.12

(1.00 to 1.26)

  
 

Swedish speaker

0.60

(0.51 to 0.70)

  

Model 2

Birth area (or ethnicity)

    
 

Western Finland

Reference

59.26(2)

< 0.001

 

Eastern Finland

1.13

(1.01 to 1.26)

  
 

Swedish speaker

0.60

(0.52 to 0.71)

  

Model 3

Mother's birth area (or ethnicity)

    
 

Western Finland

Reference

59.78(2)

< 0.001

 

Eastern Finland

1.14

(1.02 to 1.27)

  
 

Swedish speaker

0.62

(0.52 to 0.72)

  

Model 4

Father's birth area (or ethnicity)

    
 

Western Finland

Reference

65.78(2)

< 0.001

 

Eastern Finland

1.21

(1.08 to 1.35)

  
 

Swedish speaker

0.64

(0.54 to 0.75)

  

Model 5

Parents' birth area (or ethnicity)

    
 

Both from western Finland

Reference

66.87(2)

< 0.001

 

One or both from eastern Finland

1.23

(1.09 to 1.39)

  
 

Swedish speaker

0.66

(0.56 to 0.78)

  

Model 6

Parents' birth area (or ethnicity)

    
 

Both from western Finland

Reference

66.87(3)

< 0.001

 

One from eastern Finland

1.23

(1.05 to 1.43)

  
 

Both from eastern Finland

1.24

(1.09 to 1.41)

  
 

Swedish speaker

0.66

(0.56 to 0.78)

  

Number of persons is 61531. Number of deaths is 1464.

All models are adjusted for educational level, family type, and birth year.

Wald statistic (degrees of freedom) and p-value are for the entire variable.

The importance of parental birth area can also be illustrated by adding it into either model 1 or model 2. The effects of area of residence and own birth area then totally disappear (Table 5), suggesting a marginal role of area-specific current or early-life factors. Having a parent born in eastern Finland was still associated with more than 20% higher death risks as compared with having both parents born in western Finland.
Table 5

Relative mortality risks (95% confidence intervals) by area of residence and by birth area when including parental birth area

Model

Variables

Risk ratio

Wald(d.f.)

p-value

Model 1A

Area of residence at age 30-34 years

    
 

   Western Finland

Reference

3.89(1)

0.05

 

   Eastern Finland

1.12

(1.00 to 1.26)

  

Model 1B

Area of residence at age 30-34 years

    
 

   Western Finland

Reference

0.12(1)

0.72

 

   Eastern Finland

1.02

(0.90 to 1.17)

  
 

Parents' birth area

    
 

   Both from western Finland

Reference

8.06(1)

0.005

 

   One or both from eastern Finland

1.22

(1.06 to 1.40)

  

Model 2A

Birth area

    
 

   Western Finland

Reference

4.54(1)

0.03

 

   Eastern Finland

1.13

(1.01 to 1.26)

  

Model 2B

Birth area

    
 

   Western Finland

Reference

0.02(1)

0.89

 

   Eastern Finland

1.01

(0.88 to 1.16)

  
 

Parents' birth area

    
 

   Both from western Finland

Reference

7.36(1)

0.007

 

   One or both from eastern Finland

1.23

(1.06 to 1.42)

  

Number of persons is 47,434. Number of deaths is 1257. Swedish speakers are excluded here because these models contain more than one area variable.

All models are adjusted for educational level, family type, and birth year.

Wald statistic (degrees of freedom) and p-value are for the entire variable.

Another way to contrast the influence of geographic family origin against that of current and childhood environmental factors is to restrict the study group to people born and residing in western Finland. Doing so, we found that persons with at least one parent born in eastern Finland had 21% higher death risks (1.04 to 1.41) than those whose both parents were born in western Finland (Table 6). Hence, there was only a modest reduction in the effect of parental birth area as compared to that of model 5 in table 4.
Table 6

Mortality risk ratios (95% confidence intervals) by parental birth area for people born and residing in western Finland

Variable

Risk ratio

Wald(d.f.)

p-value

Parents' birth area (or ethnicity)

    

   Both from western Finland

Reference

45.44(2)

< 0.001

   One or both from eastern Finland

1.21

(1.04 to 1.41)

  

   Swedish speaker

0.66

(0.56 to 0.78)

  

Total number of persons (deaths) is 40966 (866), whereof 16150 (361) are people with both parents born in western Finland, 10719 (298) with one or both parents born in eastern Finland, and 14097 (207) who are Swedish speakers.

The model is adjusted for educational level, family type, and birth year.

Wald statistic (degrees of freedom) and p-value are for the entire variable.

Discussion and conclusions

Our results correspond with known facts about mortality of middle-aged men in Finland. The death risk of Finnish speakers in western Finland is approximately ten per cent lower than that of Finnish speakers in eastern Finland, but 40% higher than that of Swedish speakers. These mortality differences resemble genetic mappings of the population, but no explicit link has yet been established.

As related to previous research based on population registers, which has documented mortality effects of people's own birth area and area of residence, we have here proceeded by using intergenerational data and focusing on parental birth area. We find that mortality differences by people's own birth area, which might proxy not only genetic factors but also early-life conditions, are fully explained by the parents' birth area. If at least one parent was born in eastern Finland, the death risk is over 20% higher as compared with if both parents were born in western Finland. A similar elevation is the case even if we restrict the study group to people born and residing in western Finland. Hence, geographic clustering of hereditary factors, as assumed reflected by parental birth region, seems to manifest in increased mortality risks.

A limitation of the study is that we have no information about specific causes of death. However, we do know that in the ages studied, the dominating causes of death may, at least to some extent, be genetically related. It also needs to be stressed that, since we cannot trace any other ancestors than the parents, parental birth area as used here is most likely an underestimate of the true effect of geographic ancestry on mortality. Since internal migration in modern time has been directed primarily towards the western parts of the country, the current population in this area is genetically mixed. Many persons with both parents born in western Finland are therefore likely heterogeneous with respect to the birth area of second or higher order generations. Identification of family origin several generations back in time would accentuate any hereditable component predisposing to complex disorders [13].

An alternative explanation to the sizeable effect of parental birth area on offspring mortality would be learned patterns of behaviour. In that case, parents' poor diet and inadequate coping with risks in life would be transferred to the next generation in a patriarchal manner. The role of such social inheritance, as opposed to that of genetic factors, cannot, in our opinion, be large. It would imply that, even if the children were born, raised and living in a low-mortality area, they have embraced parents' supposed unhealthy behaviours. It also postulates that there would be some latent factor associated with the eastern Finnish way of life that is highly detrimental for health, and independent of whether it is the mother or the father that carries it. In families where one parent is from eastern Finland and the other from western Finland, it must also dominate any socially protective effects from the parent born in the low-mortality area. Various mappings of the Finnish population's health behaviours have been undertaken during the past decades. An overall conclusion based on these surveys is that dietary practices and culturally determined lifestyle factors do not underlie the regional mortality differences [14]. On the contrary, there is ample evidence about substantial genetic diversity across regions, and of susceptibility to specific diseases according to people's geographic roots [4].

During the past decade, the annual number of deaths in middle-aged men in eastern Finland has been approximately 700. As compared to same-aged Finnish-speaking men in western Finland, the excess mortality is more than 100 deaths per year. As the geographic mortality divide is strongly present also at higher ages [79], the total effect is even larger above the middle ages. At ages 50-74 years, for instance, the annual number of deaths by cardiovascular diseases, alcohol-related causes, and suicides in eastern Finland is almost 2000. This corresponds to an excess mortality of more than 300 deaths as compared to western Finland. From a public health perspective, many early deaths may consequently be avoided if genetic predisposition is recognised via close monitoring of persons' family origin.

Notes

Declarations

Acknowledgements

Comments from the two referees are gratefully acknowledged. The data (Statistics Finland, permission number TK-53-186-09) were funded by Bröderna Lars och Ernst Krogius forskningsfond.

Authors’ Affiliations

(1)
Åbo Akademi University

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  15. Pre-publication history

    1. The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2458/11/385/prepub

Copyright

© Saarela and Finnäs; licensee BioMed Central Ltd. 2011

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.