Table 1: Characteristics of included studies in the meta-analysis
Author, year |
Country |
Population |
sample size |
study design |
Gender Female (%) |
Age (years) |
Sleep indicator measurement |
Depression measurement |
Islam, et al., 2020 |
Japan |
non-shift workers |
1404 |
C-S |
15.2 |
44.8± 9.8 |
SJL, SRQ |
CES-D |
Tamura, et al., 2023 [52] |
Japan |
junior high school students |
1493 |
C-S |
52.4 |
13.6 ± 0.9 |
SJL, MCTQ |
DSRS-C |
Feng, et al., 2023 [9] |
China |
residents aged 18 years |
5818 |
C-S |
53.8 |
46.0 ± 53.8 |
SJL, SRQ |
PHQ-9 |
Zhang, et al., 2023 [36] |
China |
junior high students |
31871 |
C-S |
46.0 |
13.5 ± 0.8 |
SJL, MCTQ |
PHQ-2 |
Qu, et al., 2023 [48] |
China |
college students |
1042 |
C-S |
61.9 |
18-22 |
CT, MEQ-5 |
PHQ-9 |
Kjørstad, et al., 2022 [12] |
Norway |
university students |
169572 |
C-S |
66.5 |
26.1 ± 7.3 |
CT, MEQ |
HSCL-25 |
Li, et al., 2020 [43] |
China |
university students |
1135 |
C-S |
61.9 |
18.8 ± 1.2 |
CT, MEQ |
PHQ-9 |
Koo, et al., 2021 [42] |
Korea |
high-school students |
8655 |
C-S |
47.9 |
16.8 ± 0.9 |
CT, MEQ |
BDI |
Zhou, et al., 2021 [50] |
China |
freshman college students |
4531 |
C-S |
29.8 |
19.2 ± 1.8 |
CT, MEQ |
DASS21 |
Norbury, et al., 2019 [47] |
United Kingdom |
community- dwelling individuals aged 40-69 years |
5360 |
C-S |
51.3 |
55.7 ± 7.5 |
CT, MEQ |
PHQ |
Chang, et al., 2022 [39] |
China |
medical college students |
2231 |
C-S |
55.0 |
19.1± 1.13 |
CT, MEQ-19 |
PHQ-2 |
Mao, et al., 2024 [45] |
China |
local residents aged 18 years or older |
12544 |
C-S |
46.6 |
≥18 |
CT, MEQ-5 |
PHQ-9 |
Hidalgo, et al., 2009 [18] |
Brazil |
community residents aged 18 years or older |
200 |
C-S |
59.0 |
34.4± 16.4 |
CT, MEQ |
MADRS |
Randler, et al., 2012 [49] |
Spain |
apparently healthy female university students |
277 |
C-S |
100.0 |
22.3± 2.5 |
CT, CSM |
PHQ-9 |
Merikanto, et al., 2015[46] |
Finland |
residents aged 25–74 years |
10503 |
C-S |
54.6 |
50.6± 13.9 |
CT, MEQ |
SRQ |
Lv, et al., 2021 [44] |
China |
university students |
8244 |
C-S, L: no data |
48.3 |
18.0± 0.7 |
CT, MEQ |
PHQ-9 |
Kim, et al., 2023 [41] |
Korea |
wage earners aged 19 years or older |
3917 |
C-S |
46.7 |
43.4± 11.9 |
CT, MEQ |
PHQ-9 |
Kim, et al., 2020 [40] |
Korea |
non-shift workers aged 19–80 years |
5550 |
C-S |
58.1 |
46.7± 0.4 |
CT, MCTQ |
PHQ-9 |
Lemke, et al., 2023 [28] |
Sweden |
elementary and junior high school students |
8449 |
C-S |
50.8 |
14.0 ± 0.7 |
SD, KSQ |
BDI-II |
Dong, et al., 2022 [26] |
USA |
NHANES III, adult participants |
25962 |
C-S |
50.8 |
48.1 ± 18.5 |
SD, SRQ |
PHQ-9 |
Chen, et al., 2020 [25] |
China |
community- dwelling residents aged 18 years or older |
13768 |
C-S |
47.8 |
18-85 |
SD, SRQ |
PHQ-9 |
Zhang, et al., 2023 [36] |
China |
resident villagers aged 35 years or older |
9104 |
C-S |
54.7 |
53.5± 10.3 |
SD, interviews |
PHQ-9 |
Ouyang, et al., 2019 [31] |
China |
CHARLS, residents aged 45 years or older |
9529 |
C-S |
66.6 |
60.2± 9.2 |
SD, SRQ |
CES-D |
Yong, et al., 2024 [35] |
China |
junior and senior high school students |
2660 |
C-S |
50.3 |
<18 |
SD, SRQ |
PHQ-9 |
Sakamoto, et al., 2013 [32] |
Japan |
daytime workers |
1197 |
C-S |
14.0 |
44.3± 10.8 |
SD, SRQ |
CES-D |
Wang, et al., 2024 [33] |
USA |
NHANES, aged 18 years or older, |
10044 |
C-S |
51.3 |
47.5 |
SD, SRQ |
PHQ-9 |
Luo, et al., 2022 [30] |
China |
elderly adults from eight health centers in six provinces |
49317 |
C-S |
37.7 |
67.6± 6.6 |
SD, SRQ |
PHQ-9 |
Zhou, et al., 2022 [38] |
China |
CFPS, children aged 11-19 years |
3724 |
C-S |
48.0 |
14.9± 2.6 |
SD, SRQ |
CES-D |
Lin, et al., 2023 [29] |
China |
junior and senior high school students |
7330 |
C-S |
48.6 |
15.1 ± 1.8 |
SD, SRQ |
CES-D |
Gao, et al., 2023 [27] |
China |
Han ethnicity permanent residents aged 30-79 years |
42242 |
C-S |
54.3 |
51.3± 12.0 |
SD, interviews |
PHQ-2, DSM-IV |
Andishma nd, et al., 2023 |
Iran |
freshman students of NUMS |
471 |
C-S |
62.4 |
22 |
SD, PSOI |
BDI-II |
Wu, et al., 2023[34] |
China |
CHARLS, residents aged 45 years or older |
10228 |
C-S |
53.1 |
≥55 |
SD, SRQ |
CES-D 10 |
Zhang, et al., 2021 [37] |
China |
CCSSNNS, residents aged 55 years or older |
11931 |
C-S |
57.0 |
≥55 |
SD, SRQ |
GDS |
Anujuo, et al., 2021 [24] |
Netherlan ds |
the HELIUS study, individuals aged 18–71 years |
21072 |
C-S |
57.5 |
44.3±1 3.6 |
SD, SRQ |
PHQ-9 |
Jing, et al., 2020 [21] |
China |
CHARLS, residents aged 60-89 years |
22847 |
L |
49.2 |
67.8±6 .4 |
SD, SRQ |
CES-D-10 |
Um, et al., 2023 [19] |
Korea |
Korean adults without depression at baseline |
225915 |
L |
41.8 |
38.5±7 .9 |
SD, PSQI |
CES-D |
Chen, et al., 2023 [20] |
China |
CHARLS, residents aged 45 years or older |
4337 |
L |
45.1 |
57.0±8 .1 |
SD, SRQ |
CESD-10 |
Li, et al., 2022 [22] |
China |
CFPS, children aged 10-15 years |
1172 |
L |
60.3 |
12.3±1 .6 |
SD, SRQ |
CES-D |
Note: C-S: Cross-sectional, L: Longitudinal, SJL: Social jet lag, CT: Chronotype, SD: Sleep duration, CES-D: The Center for Epidemiologic Studies Depression, DSRS-C: The Birleson Depression Self-Rating Scale for Children, PHQ: The Patient Health Questionnaire, HSCL: The Hopkins Symptoms Checklist, BDI: The Beck Depression Inventory, DASS: Depression, Anxiety, and Stress Scale, MADRS: The Montgomery–Asberg Depression Rating Scale, DSM-IV: The Diagnostic and Statistical Manual of Mental Disorders Fourth Edition, GDS: Geriatric depression scale, MEQ: The Morning and Evening Questionnaire, PSQI: Pittsburgh Sleep Quality Index, MCTQ: Munich Chronotype Questionnaire, KSQ: The Karolinska Sleep Questionnaire, MESC: The morningness/eveningness scale for children, CSM: The Composite Scale of Morningness, CHARLS: The China Health and Retirement Longitudinal Study, NHANES: National Health and Nutrition Examination Survey, CFPS: The China Family Panel Study, NUMS: Neyshabur University of Medical Sciences, HELIUS, Healthy Life in an Urban Setting, CCSSNNS: The Community Cohort Study of Specialized Nervous System Diseases, SRQ: Self-report questionnaire.