National mortality tendencies of population in ukraine and the kharkiv region

Mortality of the population of by regions by main classes of causes of death without taking into account the temporarily occupied territory of the Autonomous Republic of Crimea and Donetsk. The national tendencies of mortality in the Kharkiv region.

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Kharkiv National Medical University

National mortality tendencies of population in ukraine and the kharkiv region

Mishchenko M. M.

Національні тенденції смертності населення України та Харківської області

Міщенко М. М.

Резюме

Мета дослідження: визначити національні тенденції смертності в Україні та Харківській області.

Матеріали і методи: використано дані офіційних джерел статистичної інформації України, проведено систематичний аналіз та узагальнення отриманих даних та розраховано тенденції смертності в Україні та Харківській області.

Результати та висновки. Дослідження відзначило зростання трендів смертності населення України у 2010-2019 рр. (на 100 тис. населення) за кількома групами захворювань: новоутворення (тенденції +3,0 %: чоловіки +3,4 %, жінки +2,2 %) та захворювання органів травлення (відповідно +3,9 %: +1,1 % та 8,3 %). Харківська область лідирує серед регіонів у 2019 році в таких класах: загальний показник - 3 місце (40611 випадків), хвороби системи кровообігу - 2 (28079), ішемічна хвороба серця - 2 (21154), захворювання органів травлення - 2 (1624), зовнішні причини смерті - 2 (2225), новоутворення - 3 (5714), цереброваскулярні захворювання - 4 (5009), захворювання дихальної системи - 4 (810), захворювання сечостатевої системи - 4 (196) і вроджені вади розвитку, деформації та хромосомні аномалії - 4 (69). У Харківській області протягом 2018-2019 рр. виявлено значне зростання трендів як в абсолютних показниках, так і в розрахунку на 100 тис.: ускладнення вагітності, пологів і післяпологового періоду (+300,0 та +293,8 %), певні стани, що виникають у перинатальному періоді (+14,3 та +24,3 %), інші причини (+13,8 та +14,5 %) та сечокам'яна хвороба (+12,0 та +12,9 %) з визначеними найбільшими структурними характеристиками смертності при хворобах системи кровообігу (69,09 %), новоутвореннях (14,04 %), а також нещасних випадках та травмах (5,26 %). Отримані результати загальної динаміки трендів зниження смертності від основних захворювань та їх зростання за окремими нозологіями та структурними характеристиками основних причин смертності в Україні повністю збігаються з даними інших світових досліджень.

Ключові слова: неінфекційні захворювання, смертність, тенденції, Харківська область.

The purpose of the study was to determine national tendencies of mortality in Ukraine and the Kharkiv region.

Materials and methods. Data from official sources of statistical information of Ukraine were used and systematic analysis and generalization of the obtained data was performed and tendencies of mortality in Ukraine were calculated.

Results and discussion. According to the dynamics of mortality rates of the population of Ukraine in 2010-2019, there was a decrease in almost all nosological forms of disease. For some groups of diseases there was a tendency of increasing mortality per 100 thousand population with tendencies for the general population +3.0% and +3.9%, for men +3.4% and +1.1% and women +2.2% and 8.3%.

Obtained results on the overall dynamics of declining tendencies in mortality due to major diseases in recent years and their growth due to some nosologies and structural characteristics of the main causes of mortality are in complete agreement with other studies.

The study noted an increase in tendencies of mortality of population of Ukraine in 2010-2019 (per 100 thousand population) in several disease groups: neoplasms (tendency +3.0%: males +3.4 %, females +2.2%) and diseases of digestive system (respectively +3.9%: +1.1% and +8.3%). The Kharkiv region leads among other regions in 2019 in such classes: overall - 3rd place (40,611 cases), diseases of the circulatory system - 2nd (28,079), coronary heart disease - 2nd (21,154), diseases of the digestive system - 2nd (1,624), external causes of death - 2nd (2,225), neoplasms - 3rd (5,714), cerebrovascular disease - 4th (5,009), diseases of the respiratory system - 4th (810), diseases of the genitourinary system - 4th (196) and congenital malformations, deformities and chromosomal abnormalities - 4th (69). Significant increase in tendencies found in the Kharkiv region during 2018-2019 both in absolute counts and per 100 thousand: complications of pregnancy, childbirth and postpartum period (+300.0 and +293.8%), certain conditions that occur in the perinatal period (+14.3 and +24.3%), other causes (+13.8 and +14.5%) and urolithiasis (+12.0 and +12.9%) with defined structural characteristics of mortality in diseases of the circulatory system (69.09%), neoplasms (14.04%) and accidents and trauma (5.26%).

Conclusion. The obtained results of the general dynamics of decreasing mortality tendencies due to major diseases and their growth due to some nosologies and structural characteristics of the main causes of mortality in Ukraine completely coincide with the data of other studies.

Keywords: non-infectious diseases, mortality, tendencies, the Kharkiv region.

Connection of the study with scientific programs, plans, topics. The work was carried out according to the plan of scientific research work of the Department of Public Health and Health Care Management of the Kharkiv National Medical University of the Ministry of Health of Ukraine “Medical and social aspects of the quality of life of young people with excess weight and obesity”.

Introduction. The registration and analysis of the causes and medical and epidemiological characteristics of mortality is widely used to prioritize investment and track progress towards global health goals [1], especially in view of the abrupt changes in its structure that require constant and dynamic adjustment of global economic and social orientations, strategic decisions and updating global assessments [2-4].

It is determined that the characteristics of mortality vary significantly depending on geographical, medical, demographic, temporal and other characteristics [4].

Thus, studies of recent years show an abrupt increase (by 15.9%) in the age mortality indices during 2019-2020 (from 715.2 to 828.7 deaths per 100 thousand population) [5].

The results of a study by Roth G. A. et al. [6] identify tendencies in the dynamics of the main characteristics of global mortality for 2007-2017. Quantitative population growth has contributed to the increase in overall mortality due to 20 leading causes, among which noncommunicable diseases (NCDs) remain the leading cause of death worldwide and their burden is constantly increasing. Thus, the main causes of death in 2017 were NCDs, which accounted for 73.4% (95.0% confidence interval (CI) 72.5-74.1), while the percentage of other causes (infectious, maternal, neonatal and related to nutrition) amounted to 18.6% (95.0% CI 17.9-19.6) and 8.0% - injuries (95.0% CI 7.7-8.2). The total number of deaths from NCDs in 2007-2017 increased by 22.7% (95.0% CI 21.5-23.9), which is a quantitative increase in deaths by 7.61 million (95.0% CI 7.20-8.01), and in general, global mortality due to NCDs decreased by 7.9% (95.0% CI 7.0-8.8). The number of deaths due to other (infectious, maternal, neonatal and food-related) causes decreased by 22.2% (95.0% CI 20.0-24.0), and global mortality - by 31.8% (95.0% CI 30.1-33.3). The total number of deaths due to injuries increased by 2.3% (95.0% CI 0.5-4.0), and mortality decreased by 13.7% (95.0% CI 12.2-15.1).

Among the main NCDs, the largest number of deaths is due to cardiovascular diseases (17.8 million [95.0% CI 17.5-18.0] deaths), neoplasms (Neo) (9.56 million [95.0% CI 9.40-9.69] deaths) and chronic respiratory diseases (3.91 million [95.0% CI 3.79-4.04] deaths).

The importance of careful study and analysis of the main characteristics of mortality is confirmed by Foreman K. J. et al. [7], who noted that for most countries, prioritizing NCDs and preventing risk factors for their development in health care planning and investment decisions can significantly reduce overall premature mortality rates by 2040. It is projected that by 2040 (compared to 2016) NCDs will take the largest part of years of life lost (YLL) in almost all regions of the world (67.3% of global YLL [95.0% CI 61.9-72.3]). Also, a significant percentage of the world's countries (especially low-income ones) by 2040 will have high levels of other (infectious, maternal, neonatal and nutrition-related) diseases, which will account for a significant proportion of YLL (53.5%) in 2040 [95.0% CI 48.3-58.5] in Sub-Saharan Africa).

The purpose of the study was to determine national tendencies of mortality in Ukraine and the Kharkiv region.

Materials and methods. Data from official sources of statistical information of Ukraine (State Institution “Center for Medical Statistics of the Ministry of Health of Ukraine”) were used to determine national tendencies of mortality in Ukraine. A systematic analysis and generalization of the obtained data was performed and tendencies of mortality in Ukraine were calculated.

Research results. Mortality tendencies in Ukraine and the Kharkiv region for 2010-2019 were determined for some infectious and parasitic diseases (SIPD), Neo, blood and hematopoietic organs diseases (BHOD), endocrine system diseases and eating and metabolic disorders (ESDEMD), mental and behavioral disorders (MBD), diseases of the nervous system (DNS), diseases of the eye and appendix (DEA), diseases of the ear and mammary process (DEMP), diseases of the circulatory system (DCS), hypertension (HTN), coronary heart disease (CHD), cerebrovascular disease (CVD), diseases of the respiratory system (DRS), diseases of the digestive system (DDS), diseases of the skin and subcutaneous tissue (DSST), diseases of the musculoskeletal system (DMSS), diseases of the genitourinary system (DGUS), complications of pregnancy, childbirth and postpartum period (CPCPP), certain conditions that occur in the perinatal period (CPP), congenital malformations, deformities and chromosomal abnormalities (CMDCA), trauma, poisoning and some other consequences of external causes (TPEX), symptoms, signs and abnormalities found in clinical and laboratory studies, not classified in other headings (NC) and external causes of death (ECD).

According to the dynamics of mortality rates of the population of Ukraine in 2010-2019, there was a decrease in almost all nosological forms of disease (SIPD, DCS, DRS and ECD). For some groups of diseases (Neo and DDS) there was a tendency of increasing mortality per 100 thousand population with tendencies for the general population +3.0% and +3.9%, for men +3.4% and +1.1% and women +2.2% and 8.3% (Table 1).

By regions of Ukraine, the highest mortality rates (in absolute numbers) were observed in the Dnipropetrovsk (50,929 cases), Donetsk (41,087) and Kharkiv (40,611) regions and the city of Kyiv (33,137) (Table 2). In terms of 100 thousand population, the highest mortality in 2019 was noted in the Chernihiv (1,861.2 percent), Kirovohrad (1,644.9), Poltava (1,644.2) and Cherkasy (1,642.9) regions (Table 3).

The Kharkiv region, among all regions of Ukraine, had significant mortality rates due to major diseases, both in absolute terms and per 100,000 population (Tables 2 and 3). Thus, in 2019, in absolute terms, the mortality rate in the Kharkiv region due to major diseases in total amounted to 40,611 cases, which is why it ranked third among all regions. Mortality due to SIPD was 348 cases (8th place), Neo - 5,714 (3rd), ESDEMD - 94 (8th), MBD - 23 (16th), DNS - 122 (17th), DCS - 28,079 (2nd), CHD - 21,154 (2nd), cause mortality among the middle-aged population (25-64 years) and a decrease due to infectious and parasitic diseases, tumors, diseases of the musculoskeletal system and connective tissue. Sidney S. et al. [12] showed in recent decades a halt in the decline in age-adjusted mortality rates due to heart disease and a significant percentage reduction in cancer rates.

mortality population national

Table 1 - Mortality of Ukraine population during 2010-2019 according to main classes of causes of death and gender with exclusion of temporary occupied territory of the Autonomous Republic of Crimea, Donetsk and Lugansk regions (no., per 100 thousand population) [8]

Year

Classes of diseases according to IDC-10

Total

І. SIPD (А00-В99)

ІІ. Neo (C00-D48)

ІХ. DCS (I00-I99)

Х. DRS (J00-J98)

ХІ. DDS (К00-К92)

ХХ. ECD (V01-Y89)

No.

Per 100 thousand

No.

Per 100 thousand

No.

Per 100 thousand

No.

Per 100 thousand

No.

Per 100 thousand

No.

Per 100 thousand

No.

Per 100 thousand

Total

2010

698,235

1,522.2

14,642

31.9

88,767

193.5

465,093

1,013.9

19,480

42.5

26,817

58.5

43,955

95.8

2019

581,114

1,466.4

8,120

20.8

78,223

199.3

389,348

989.2

12,504

32.0

24,144

60.8

30,009

77.7

Tendency

-16.8

-3.7

-44.5

-34.8

-11.9

+3.0

-16.3

-2.4

-35.8

-24.7

-10.0

+3.9

-31.7

-18.9

Male

2010

341,249

1,611.5

11,036

52.1

48,987

231.3

198,510

937.4

13,700

64.7

17,004

80.3

34,462

162.7

2019

287,513

1,560.6

5,815

32.0

43,598

239.1

171,487

937.1

9,107

49.8

14,975

81.2

24,064

134.3

Tendency

-15.7

-3.2

-47.3

-38.6

-11.0

+3.4

-13.6

-

-33.5

-23.0

-11.9

+1.1

-30.2

-17.5

Female

2010

356,986

1,445.6

3,606

14.6

39,780

161.1

266,583

1,079.5

5,780

23.4

9,813

39.7

9,493

38.4

2019

293,601

1,384.4

2,305

11.0

34,625

164.6

217,861

1,034.5

3,397

16.5

9,169

43.0

5,945

28.5

Tendency

-17.8

-4.2

-36.1

-24.7

-13.0

+2.2

-18.3

-4.2

-41.2

-29.5

-6.6

+8.3

-37.4

-25.8

Table 2 - Regional mortality in Ukraine in 2019 according to main classes of causes of death with exclusion of temporary occupied territory of the Autonomous Republic of Crimea, Donetsk and Lugansk regions (no.) [8]

Region

Total

І. SIPD (А00-В99)

CO

Q 1 о о О

О ф Z

IV. ESDEMD (E00-E89)

V. MBD (F01-F99)

VI. DNS

ІХ. DCS (І00-І99)

CHD (І20-І25)

CVD (І60-І69)

Х. DRS (J00-J98)

ХІ. DDS (К00-К92)

Х№ DGUS (N00-N99)

ХМІ. CMDCA (Q00-Q99)

ХМІІ. NC (R00-R99)

ХХХ. ECD (V01-Y89)

Vinnytsya

24,132

143

2,969

103

48

148

17,686

15,923

1,203

341

927

68

45

260

1,301

Volynska

13,332

204

1,592

78

38

102

9,023

6,717

1,957

362

706

61

29

281

793

Dnipropetrovsk

50,929

1,325

7,204

82

7

194

34,518

25,164

3,265

885

2,460

284

64

841

2,804

Donetsk

41,087

541

5,128

116

40

416

24,785

14,505

9,399

715

1,714

163

37

5,654

1,633

Zhytomyr

19,933

231

2,216

37

58

210

14,143

8,192

1,335

409

776

71

30

613

1,044

Zakarpatska

15,527

344

1,920

101

215

256

9,610

3,962

2,581

410

932

47

89

810

682

Zaporyzzhya

27,823

424

4,487

39

8

392

17,492

9,887

4,979

630

988

104

26

1,483

1,652

Ivano-Frankivsk

17,551

117

2,144

53

10

53

12,465

10,718

947

204

661

42

55

916

755

Kyiv

28,522

351

3,855

87

4

117

19,969

14,413

2,000

516

1,204

96

35

580

1,619

Kirovohrad

15,451

300

1,981

72

56

45

9,893

8,434

1,163

341

491

55

23

1,292

850

Lugansk

16,011

154

1,883

55

-

83

11,083

7,297

2,961

356

700

71

23

959

598

Lviv

32,839

395

4,432

329

76

174

20,169

14,710

2,462

990

1,426

99

86

2,823

1,660

Mykolaiv

17,087

284

2,098

38

54

154

11,974

8,293

1,326

376

784

63

28

272

912

Odesa

33,091

958

4,990

194

7

371

21,255

11,512

7,888

731

1,602

225

90

406

2,082

Poltava

22,915

192

3,266

65

3

265

16,163

11,372

3,813

256

740

45

35

766

1,055

Rivne

14,182

159

1,778

57

33

87

10,250

7,241

1,824

270

548

56

48

70

734

Sumy

17,404

172

2,526

63

25

283

11,477

5,584

5,359

396

661

82

19

646

993

Ternopil

14,754

62

1,738

67

37

202

10,831

8,954

1,189

474

447

46

35

104

668

Kharkiv

40,611

348

5,714

94

23

122

28,079

21,154

5,009

810

1,624

196

69

1,109

2,225

Kherson

16,027

245

2,089

28

33

253

9,711

4,556

3,720

298

710

108

30

1,447

1,005

Khmelnytskyi

19,399

196

2,381

130

145

255

11,882

6,106

2,414

611

836

88

50

1,801

931

Cherkasy

19,702

192

2,479

88

19

143

13,840

8,194

3,729

562

843

84

29

243

1,121

Chernivtsi

11,084

96

1,547

46

49

46

8,103

7,446

532

272

283

46

38

39

482

Chernihiv

18,584

203

2,037

80

121

108

13,688

11,311

1,729

442

590

76

22

192

959

Kyiv (city)

33,137

484

5,769

135

-

136

21,259

16,696

3,448

847

1,491

219

66

1,070

1,451

Table 3 - Mortality of the population of Ukraine by regions in 2019 by main classes of causes of death without taking into account the temporarily occupied territory of the Autonomous Republic of Crimea and Donetsk and Luhansk regions (per 100 thousand population) [8]

Region

Total

І. SIPD (А00-В99)

CO

Q 1 о о О

О ф Z

IV. ESDEMD (E00-E89)

V. MBD (F01-F99)

VI. DNS

IX. DCS (I00-I99)

CHD (I20-I25)

CVD (I60-I69)

X. DRS (J00-J98)

XI. DDS (К00-К92)

XIV. DGUS (N00-N99)

XVII. CMDCA (Q00-Q99)

XVIII. NC (R00-R99)

XXX. ECD (V01-Y89)

Vinnytsya

1,554.0

9.2

191.2

6.6

3.1

9.5

1,138.9

1,025.4

77.5

22.0

59.7

4.4

2.9

16.7

83.8

Volynska

1,290.1

19.7

154.1

7.5

3.7

9.9

873.2

650.0

189.4

35.0

68.3

5.9

2.8

27.2

76.7

Dnipropetrovsk

1,595.7

41.5

225.7

2.6

0.2

6.1

1,081.5

788.5

102.3

27.7

77.1

8.9

2.0

26.4

87.9

Zhytomyr

1,641.7

19.0

182.5

3.0

4.8

17.3

1,164.8

674.7

109.9

33.7

63.9

5.8

2.5

50.5

86.0

Zakarpatska

1,236.9

27.4

153.0

8.0

17.1

20.4

765.6

315.6

205.6

32.7

74.2

3.7

7.1

64.5

54.3

Zaporyzzhya

1,639.9

25.0

264.5

2.3

0.5

23.1

1,031.0

582.7

293.5

37.1

58.2

6.1

1.5

87.4

97.4

Ivano-Frankivsk

1,280.5

8.5

156.4

3.9

0.7

3.9

909.4

782.0

69.1

14.9

48.2

3.1

4.0

66.8

55.1

Kyiv

1,607.3

19.8

217.2

4.9

0.2

6.6

1,125.3

812.2

112.7

29.1

67.9

5.4

2.0

32.7

91.2

Kirovohrad

1,644.9

31.9

210.9

7.7

6.0

4.8

1,053.2

897.9

123.8

36.3

52.3

5.9

2.4

137.5

90.5

Lviv

1,304.7

15.7

176.1

13.1

3.0

6.9

801.3

584.4

97.8

39.3

56.7

3.9

3.4

112.2

66.0

Mykolaiv

1,518.2

25.2

186.4

3.4

4.8

13.7

1,063.9

736.8

117.8

33.4

69.7

5.6

2.5

24.2

81.0

Odesa

1,391.1

40.3

209.8

8.2

0.3

15.6

893.5

483.9

331.6

30.7

67.3

9.5

3.8

17.1

87.5

Poltava

1,644.2

13.8

234.3

4.7

0.2

19.0

1,159.7

816.0

273.6

18.4

53.1

3.2

2.5

55.0

75.7

Rivne

1,227.7

13.8

153.9

4.9

2.9

7.5

887.3

626.9

157.9

23.4

47.4

4.8

4.2

6.1

63.5

Sumy

1,619.2

16.0

235.0

5.9

2.3

26.3

1,067.8

519.5

498.6

36.8

61.5

7.6

1.8

60.1

92.4

Ternopil

1,415.5

5.9

166.7

6.4

3.6

19.4

1,039.2

859.1

114.1

45.5

42.9

4.4

3.4

10.0

64.1

Kharkiv

1,522.7

13.0

214.2

3.5

0.9

4.6

1,052.8

793.2

187.8

30.4

60.9

7.3

2.6

41.6

83.4

Kherson

1,551.8

23.7

202.3

2.7

3.2

24.5

940.3

441.1

360.2

28.9

68.7

10.5

2.9

140.1

97.3

Khmelnytskyi

1,540.0

15.6

189.0

10.3

11.5

20.2

943.2

484.7

191.6

48.5

66.4

7.0

4.0

143.0

73.9

Cherkasy

1,642.9

16.0

206.7

7.3

1.6

11.9

1,154.1

683.3

310.9

46.9

70.3

7.0

2.4

20.3

93.5

Chernivtsi

1,227.5

10.6

171.3

5.1

5.4

5.1

897.3

824.6

58.9

30.1

31.3

5.1

4.2

4.3

53.4

Chernihiv

1,861.2

20.3

204.0

8.0

12.1

10.8

1,370.8

1,132.8

173.2

44.3

59.1

7.6

2.2

19.2

96.0

Kyiv (city)

1,119.8

16.4

195.0

4.6

-

4.6

718.4

564.2

116.5

28.6

50.4

7.4

2.2

36.2

49.0

Table 4 - Mortality of the Kharkiv region population during 2018-2019 according to main classes of causes of death

(no., per 100 thousand population) [9]

Causes of death

No.

Per 100 thousand

2018

2019

Tendency

2018

2019

Tendency

All the reasons

42,600

40,611

-4.7

1,590.52

1,526.75

-4.0

SIPD, incl.:

371

344

-7.3

13.85

12.93

-6.6

- tuberculosis

232

210

-9.5

8.66

7.89

-8.9

Neo, incl.:

5,801

5,709

-1.6

216.59

214.63

-0.9

- malignancies

5,761

5,672

-1.5

215.09

213.24

-0.9

- digestive system

2,047

2,019

-1.4

76.43

75.90

-0.7

- respiratory system

977

1,004

+2.8

36.48

37.74

+3.5

- mammal glands*

561

516

-8.0

39.02

36.15

-7.4

- female genital organs*

491

474

-3.5

34.15

33.21

-2.8

- blood, lymph and related tissues

319

330

+3.4

11.91

12.41

+4.2

BHOD

19

20

+5.3

0.71

0.75

+5.6

Endocrine system diseases, incl.:

100

94

-6.0

3.73

3.53

-5.4

- diabetes mellitus

89

83

-6.7

3.32

3.12

-6.0

MBD, incl.:

36

23

-36.1

1.34

0.86

-35.8

- results of alcohol consumption

27

16

-40.7

1.01

0.60

-40.6

DNS

140

115

-17.9

5.23

4.32

-17.4

DEA

-

-

-

-

-

-

DEMP

9

7

-22.2

0.34

0.26

-23.5

DCS, incl.

29,852

28,060

-6.0

1,114.56

1,054.90

-5.4

- acute rheumatic fever (all forms)

32

19

-40.6

1.19

0.71

-40.3

- HTN (all forms)

18

7

-61.1

0.67

0.26

-61.2

- CHD

22,531

21,152

-6.1

841.22

795.20

-5.5

- CVD

5,254

5,007

-4.7

196.16

188.24

-4.0

DDS, incl.:

894

797

-10.9

33.38

29.96

-10.2

- acute respiratory infections

1

1

-

0.04

0.04

-

- flu and pneumonia

644

578

-10.2

24.04

21.73

-9.6

DRS, incl.:

1,685

1,623

-3.7

62.91

61.02

-3.0

- diseases of esophagus, stomach and duodenum

259

190

-26.6

9.67

7.14

-26.2

- alcohol liver disease

70

75

+7.1

2.61

2.82

+8.0

- other liver diseases

898

864

-3.8

33.53

32.48

-3.1

DSST

57

59

+3.5

2.13

2.22

+4.2

DMSS and connective tissue

24

19

-20.8

0.90

0.71

-21.1

DGUS, incl.:

186

189

+1.6

6.94

7.11

+2.4

- urolithiasis

25

28

+12.0

0.93

1.05

+12.9

CPCPP**

1

4

+300.0

0.16

0.63

+293.8

CPP***

70

80

+14.3

3.67

4.56

+24.3

CMDCA

77

66

-14.3

2.87

2.48

-13.6

TPEX, incl.:

2,166

2,137

-1.3

80.87

80.34

-0.7

- alcohol toxicity

332

335

+0.9

12.40

12.59

+1.5

Other causes

1,112

1,265

+13.8

41.52

47.56

+14.5

Notes: * - per all female population, ** - per female population of fertile age, *** - per 1,000 livebirths

Figure 1 - Structural characteristics of mortality in the Kharkiv region in 2019 according to main mortality classes (%)

Conclusion

The study noted an increase in tendencies of mortality of population of Ukraine in 20102019 (per 100 thousand population) in several disease groups: Neo (tendency +3.0%: males +3.4%, females -2.2%) and diseases of digestive system (respectively +3.9%: +1.1% and 8.3%). The Kharkiv region leads among other regions in 2019 in such classes: overall - 3rd place (40,611 cases), DCS - 2nd (28,079),

CHD - 2nd (21,154), DDS - 2nd (1,624), ECD - 2nd (2,225), Neo - 3rd (5,714), CVD - 4th (5,009), DRS - 4th (810), DGUS - 4th (196) and CMDCA - 4th (69).

Significant increase in tendencies found in the Kharkiv region during 2018-2019 both in absolute counts and per 100 thousand: CPCPP (+300.0% and +293.8%), CPP (+14.3 and +24.3%), other causes (+13.8 and +14.5%) and urolithiasis (+12.0 and +12.9%) with defined structural characteristics of mortality in DCS (69.09%), Neo (14.04%) and accidents and trauma (5.26%).

Perspectives of further research. In further studies, it is planned to determine the tendencies of morbidity, disability and mortality from cerebrovascular disease in the Kharkiv region.

References

WHO. Family of international classifications. Available from: http://www.who.int/classifications/icd/en/

Dwyer-Lindgren L, Bertozzi-Villa A, Stubbs RW, Morozoff C, Shirude S, Unutzer J, et al. Trends and Patterns of Geographic Variation in Mortality From Substance Use Disorders and Intentional Injuries Among US Counties, 1980-2014. JAMA. 2018 Mar 13;319(10):1013-1023. PMID: 29536097. PMCID: PMC5885894. doi: 10.1001/jama.2018.0900

GBD 2015 Eastern Mediterranean Region Intentional Injuries Collaborators. Intentional injuries in the Eastern Mediterranean Region, 1990-2015: findings from the Global Burden of Disease 2015 study. Int J Public Health. 2018 May;63(Suppl 1):39-46. PMID: 28776251 PMCID: PMC5973968. doi: 10.1007/s00038-017-1005-2

COVID-19 Excess Mortality Collaborators. Estimating excess mortality due to the COVID-19 pandemic: a systematic analysis of COVID-19-related mortality, 2020-21. Lancet. 2022 Apr 16;399(10334):1513-1536. PMID: 35279232. doi: 10.1016/S0140-6736(21)02796-3

Ahmad FB, Cisewski JA, Minino A, Anderson RN. Provisional Mortality Data - United States, 2020. MMWR Morb Mortal Wkly Rep. 2021;70(14):519-522. PMID: 33830988. PMCID: PMC8030985. doi: 10.15585/mmwr. mm7014e1

GBD 2017 Causes of Death Collaborators. Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2018 Nov 10;392(10159):1736-1788. PMID: 30496103. doi: 10.1016/S0140- 6736(18)32203-7

Foreman KJ, Dolgert A, Fukutaki K, Fukutaki K, Fullman N, McGaughey M, et al. Forecasting life expectancy, years of life lost, and all-cause and cause-specific mortality for 250 causes of death: reference and alternative scenarios for 2016-40 for 195 countries and territories. Lancet. 2018 Nov 10;392(10159):2052-2090. PMID: 30340847. doi: 10.1016/S0140-6736(18)31694-5

Derzhavna sluzhba statystyky Ukrainy. Demohrafichnyi shchorichnyk «Naselennia Ukrainy» za 2019 rik [Demographic yearbook “Population of Ukraine” for 2019]. K: Derzhavna sluzhba statystyky Ukrainy; 2020. 181 s. [Ukrainian]

Departament okhorony zdorovia Kharkivskoi oblderzhadministratsii. Kharkivskyi oblasnyi informatsiino-anali- tychnyi tsentr medychnoi statystyky. Osnovni pokaznyky zdorovia naselennia ta diialnosti zakladiv okhorony zdorovia Kharkivskoi oblasti za 2018-2019 rr [The main indicators of the health of the population and the activity of health care institutions of the Kharkiv region for 2018-2019]. Kharkiv: Kharkivskyi oblasnyi informatsiino-anal- itychnyi tsentr medychnoi statystyky; 2020. 484 p. [Ukrainian]

Rana JS, Khan SS, Lloyd-Jones DM, Sidney S. Changes in Mortality in Top 10 Causes of Death from 2011 to 2018. J. Gen Intern Med. 2021 Aug;36(8):2517-2518. PMID: 32705476. PMCID: PMC7377530. doi: 10.1007/ s11606-020-06070-z

Woolf SH, Chapman DA, Buchanich JM, Bobby KJ, Zimmerman EB, Blackburn SM. Changes in midlife death rates across racial and ethnic groups in the United States: systematic analysis of vital statistics. BMJ. 2018 Aug 15;362:k3096. PMID: 30111554. PMCID: PMC6092678. doi: 10.1136/bmj.k3096

Sidney S, Quesenberry CP Jr, Jaffe MG, Sorel M, Nguyen-Huynh MN, Kushi LH, et al. Recent Trends in Cardiovascular Mortality in the United States and Public Health Goals. JAMA Cardiol. 2016 Aug 1;1(5):594-9. PMID: 27438477. doi: 10.1001/jamacardio.2016.1326

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