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Table 1 Listing of articles about childhood modifiable risk factors for later life chronic kidney disease a

From: Childhood modifiable risk factors and later life chronic kidney disease: a systematic review

ID

Author

Year

Country

Study name

Target population

Sample size

Baseline age (years)

Mean FU length (years)

Exposure in childhood

Outcome(s) in adulthood

Main finding(s)

1

Hoq et al. [18]

2002

USA

Bogalusa Heart Study

School-aged children and young adults in a biracial population

2,122

5–17

16

BP, annual change in BP from childhood to adulthood

Microalbuminuria b

Childhood BP and annual change in BP from childhood to adulthood were associated with microalbuminuria in Blacks, but not in Whites.

2

Zhao et al. [19]

2008

China

Beijing BP Cohort

Primary and secondary school-aged children

412

6–18

18

Change in HTN status from childhood to adulthood

Microalbuminuria b

High BP only in childhood was not associated with microalbuminuria in adults c.

3

Yan et al. [20]

2018

USA

Bogalusa Heart Study

School-aged children and young adults in a biracial population

2,512

4–19

25

BP, BP from childhood to adulthood

eGFR

Childhood BP was not associated with adult eGFR in Blacks and Whites. Long-term burden of BP, reflected by total BP area under the curve value, was significantly and negatively associated with adult eGFR in Blacks.

4

Yan et al. [21]

2018

China

Beijing BP Cohort

Children from primary and secondary schools

1,222

6–18

23

BP, change in HTN status from childhood to adulthood

Microalbuminuria b; eGFR

High BP in childhood was not associated with microalbuminuria, and eGFR in adulthood.

5

Zheng et al. [22]

2018

China

Hanzhong Adolescent Hypertension Cohort

School-aged children from rural areas

2,430

6–15

30

BP trajectories from childhood to adulthood

UACR; eGFR; SRD d

Compared to the low stable trajectory group, higher BP trajectories were associated with a higher level of UACR and a higher risk of SRD in adulthood, but not with eGFR in adulthood e.

6

Liao et al. [35]

2020

China

Hanzhong Adolescent Hypertension Cohort

School-aged children from rural areas

1,738

6–15

30

Elevated BP; pre-HTN; HTN f

SRD d

Elevated BP and prehypertension in childhood was not associated with SRD in adulthood. Hypertension in childhood was associated with the risk of SRD in adulthood.

7

Liao et al. [24]

2021

China

Hanzhong Adolescent Hypertension Cohort

School-aged children from rural areas

1,738

6–15

30

Pulsatile stress; change in pulsatile stress from childhood to adulthood

SRD d

Pulsatile stress in childhood was associated with adult SRD, especially in males. High pulsatile stress in childhood but normal in adulthood still had an increased risk of SRD in males.

8

Wang et al. [25]

2022

China

Hanzhong Adolescent Hypertension Cohort

School-aged children from rural areas

1,771

6–18

30

BPV

SKD d; albuminuria g

BPV from childhood to middle adulthood was associated with higher risk of SKD and albuminuria in adulthood.

9

Kim et al. [30]

2010

USA

Gila River Indian Community Study

Members of the Gila River Indian Community

2,666

5–19

8.1 h

type 2 diabetes

Macroalbuminuria i

The incidence of macroalbuminuria in adulthood was higher in diabetic children than nondiabetic children.

10

Silverwood et al. [26]

2013

UK

1946 British Birth Cohort

Socially stratified sample of singletons in England, Scotland, and Wales

4,340

2–20 j

62

Overweight latent classes between ages 2 and 20 years

CKD k

Being overweight in early years was associated with a high risk of CKD in later life.

11

Yan et al. [27]

2021

China

Hanzhong Adolescent Hypertension Cohort

School-aged children from rural sites of towns

2,162

6–15

30

BMI trajectories

SRD d, eGFR, UACR

Child-to-adult BMI trajectories that worsen or persist at high levels were associated with an increased risk of SRD, but not with levels of eGFR and UACR e.

12

Liu et al. [28]

2021

Australia

Childhood Determinants of Adult Health study

A nationally representa-tive sample of school children

1,442

7–15

33

BMI trajectories

SKD d, eGFR, UACR

Higher BMI trajectories were associated with a higher risk of SKD in midlife. The relationship with eGFR was inconsistent. No significant association was found with UACR.

13

Wang et al. [29]

2022

China

Hanzhong Adolescent Hypertension Cohort

School-aged children from rural sites of towns

4,623

6–18

30

BMI trajectories

Albuminuria g

Higher BMI trajectories were associated with an increased risk of albuminuria in midlife.

14

Canney et al. [31]

2018

Ireland

The Irish Longitudinal Study on Aging

Cluster-sampled community-dwelling adults aged ≥ 50 years

4,996

≤ 14 l

48 l

SEP measured by father’s occupation

CKD

Low childhood SEP was associated with an increased risk of CKD in women, independent of adulthood SEP. Similar association was absent in men.

15

Lv et al. [32]

2020

China

China Health and Retirement Longitudinal Study

Middle-aged and elderly population in mainland China

6,267

Preschool; school-aged k

52 m

Famine

CKD

Preschool and school-aged exposure to famine was not associated with the risk of CKD.

16

Liu et al. [33]

2022

Australia

Childhood Determinants of Adult Health study

A nationally representative sample of school children

1,371

7–15

33

CRF n

GHF o, albuminuria g

Childhood low CRF was associated with an increased risk of GHF in women, but not in men. No significant association was found with albuminuria.

17

Liu et al. [34]

2022

Australia

Childhood Determinants of Adult Health study

A nationally representative sample of school children

750

7–15

33

HLS p

SKD d

Childhood HLS was not associated with the risk of SKD in adulthood.

  1. FU, follow-up; BP, blood pressure; HTN, hypertension; CKD, chronic kidney disease; SKD, subclinical kidney damage; SRD, subclinical renal damage; eGFR, estimated glomerular filtration rate; UACR, urinary albumin-to-creatinine ratio; BPV, blood pressure variability; SEP, social economic position; CRF, cardiorespiratory fitness; GHF, glomerular hyperfiltration; HLS, healthy lifestyle score.
  2. a All studies used the design of a prospective cohort study except ID14 and ID15 (retrospective cohort study). All outcomes were measured objectively. All studies included both males and females.
  3. b Microalbuminuria defined as a UACR between 3 and 30 mg/mmol.
  4. c Relationship was analysed by chi-square test.
  5. d SKD and SRD defined as eGFR between 30 and 60 ml/min per 1.73 m2 or UACR of at least 2.5 mg/mmol in men and 3.5 mg/ mmol in women.
  6. e The relationship with UACR and eGFR was analysed using Kruskal–Wallis test and one-way ANOVA.
  7. f Elevated BP was defined as SBP/DBP ≥ 90th percentile by BPRS (Blood Pressure Reference Standard Tables of Chinese children aged 3–17 years old) tables or > 120/80 mm/Hg; prehypertension was defined as SBP/DBP ≥ 90th percentile and < 95th percentile with the use of the BPRS tables or SBP/DBP > 120/80 mmHg); hypertension was defined as SBP/DBP ≥ 95th percentile with the use of the BPRS tables.
  8. g Albuminuria was defined as UACR ≥ 30 mg/g.
  9. h Median.
  10. i Macroalbuminuria defined as UACR ≥ 300 mg/g.
  11. j Height and weight were measured at ages 2, 4, 6, 7, 11, and 15 and self-reported at age 20 years.
  12. k CKD defined as eGFR < 60 mL/min/1.73 m2 or UACR ≥ 3.5 mg/mmol.
  13. l Participants aged 55–69 years old retrospectively reported their father’s occupation when they were growing up, until the age of 14 years.
  14. m Birth year was used as the proxy variable for famine exposure in 1959–1962, when famine status peaked. Famine exposure was then divided into fetal exposed, preschool exposed, and school-aged exposed. Outcome was measured at age of 44 to 61 years.
  15. n CRF in 7–15 years old was estimated by age and sex-specific time taken to complete a 1.6 km (1 mile) run.
  16. o GHF was defined as the upper 5th percentile value of eGFR, standardized for age and sex.
  17. p The HLS was generated from the sum scores of five lifestyle factors (body mass index, smoking, alcohol consumption, physical activity, and diet). Each factor was scored as poor (0 point), intermediate (1 point), or ideal (2 points).