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Table 1 Characteristics of included literature and quality evaluation

From: The effect of ambient ozone exposure on three types of diabetes: a meta-analysis

Author

Year

Country/region

Study design

Sample size

Age at diagnosis

(years)

Exposure period

Covariate

Outcome

Quality assessment score

PMID

Elten et al

2020

Canada

Cohort study

754,698

 < 6

trimesters, childhood

pollutant, sex, maternal age at delivery, smoking,birth weight parity, gestational age

T1D

7

32,120,123

Hathout et al

2002

America

Case–control study

110

 < 18

childhood

age

7

15,016,145

Hathout et al

2006

America

Case–control study

402

7.4 ± 4

childhood

age

7

16,629,713

Jerrett et al

2017

America

Cohort study

453,221

 ≥ 30

daily 8-h maximum O3

smoking status, exercise, diet, parental history of diabetes, BMI, neighborhood socio-economic status (SES), education

T2D

8

28,153,529

Li et al

2021

Taiwan

Cohort study

6,426,802

65.17 ± 12.82

daily average concentrations of O3

age, sex, SES, urbanization level, temperature, humidity and baseline chronic comorbidity status

8

33,412,098

Renzi et al

2018

Italy

Cohort study

1,425,580

 ≥ 35

daily 8-h maximum O3

sex, SES, place of birth, occupation, educationa, preexisting comorbidities, marital status

8

29,253,730

Yang et al

2018

China

Cross-sectional study

15,477

18–74

long-term

age, sex, BMI, education, family income, smoking, alcohol consumption, diet, exercise, family history of diabetes, and district

7

29,615,239

Yu et al

2021

America

Cohort study

1,090

70.5 ± 6.9

daily 8-h maximum O3

age, sex, education, occupation, physical activity, smoking status, and household income at baseline

7

34,494,856

Hu et al

2015

America

Case–control study

410,267

/

trimester 1, trimester 2, entire pregnancy

maternal age, race, education, marital status, season of conception and year of delivery, median household income, prenatal care began, urbanization

GDM

8

25,794,412

Jo et al

2019

America

Cohort study

239,574

32.4 ± 5.4

preconception, trimester 1, trimester 2

maternal age, education, race, household income

8

31,234,004

Lin et al

2020

China

Cohort study

12,842

/

trimester 1, trimester 2, two trimesters

maternal age, race, education, marital status, conception season, occupation, temperature, humidity, pre-pregnancy BMI

8

32,739,627

Liu et al

2022

China

Cohort study

20,113

30

preconception, trimester 1, trimester 2

maternal age, pre-pregnancy BMI, education, family history of diabetes, parity, season of LMP, temperature

9

34,798,119

Pan et al

2017

Taiwan

Cohort study

19,606

31.9 ± 4.5

trimester 1, trimester 2, trimester 3

maternal age, BMI, weight gain, fetal gender, parity and annual household income

7

28,672,129

Robledo et al

2015

America

Cohort study

219,952

/

preconception, trimester 1

maternal age, race and study site

8

25,601,734

Shen et al

2017

Taiwan

Case–control study

13,434

31.30 ± 4.54

preconception, trimester 1, trimester 2

season of delivery, number of births, obesity, history of polycystic ovary syndrome (PCOS), personal monthly income, disease burden, median family income, level of urbanization

9

29,261,145

Sun et al

2022

America

Cohort study

395,927

30.3 ± 5.7

preconception, trimester 1, trimester 2, entire pregnancy

maternal age, race, education, family household income, pre-pregnancy BMI, smoking, insurance type, season of conception and year of delivery

8

34,563,749

Wu et al

2016

America

Cohort study

44,949

/

trimester 1, trimester 2, trimester 3

maternal age, race, education, median household income

8

29,659,239

Yao et al

2020

China

Cohort study

5,427

/

preconception, trimester 1

maternal age, education, season of blood collection, fruit and dessert intake frequency, pre-pregnancy BMI, parity, physical activity during pregnancy, family history of diabetes, temperature, and relative humidity

7

32,278,159

Yan et al

2022

China

Cohort study

3,754

29.6 ± 4.3

trimester 1, trimester 2, trimester 3, entire pregnancy

maternal age, diabetes mellitus, pre- pregnancy BMI, pre-pregnancy hypertension and residential region, sex, season of conception

8

3,567,971

  1. “/” represent all age groups