Introduction
Methods
Searching strategies
Study selection
Inclusion and exclusion criteria
Inclusion
Exclusion
Data selection
s.n | Authors | Country | Study design | sample Size | Subjects (male) | Published Year | Study Settings | BMI and (Mean ± SD) | Age (Mean ± SD) | Determinants factors | NOS score |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | Maltoni et al. [1] | Italy | P/C | 51 | 31 | 2021 | Facility based | BMI and waist/height Mean 2.8 (SD = 3.7) | 14.7 ± 2.1 years | Increases sedentary behaviour (þ2.9 ± 2.8 h/day; p < 0.001); decreased physical activity (1.0 ± 1.6 h/week; p < 0.0 01); males spent more hours in sedentary behaviours (þ3.8 ± 2.7 h/day vs þ1.5 ± 2.5 h/day; p Z 0.003) | 7 |
2 | Robinson, et al. [2] | UK | CS | 2002 | 1001 | 2020 | Community based | BMI NA (32%) | Adult (> = 18) | lower levels of physical activity; low diet quality; diet overeating; decline in mental health; experiencing barriers to weight management | 6 |
3 | Haddad, et al. [3] | Lebanon | CS | 407 | 198 | 2021 | Community based | BMI Mean 0.04 (SD = 1.18) (52.1%) | Adult (> = 18) | Length of confinement in days (AOR = 1.070, 95% CI (1.034, 1.108) p-value = < 0.001); fear of COVID-19 AOR 0.962, 95%CI (0.927, 0.999) P = value = 0.046); EDE Eating concern subscale AOR 1.953, 95%CI (1.466, 2.601) P value = < 0.001); anxiety AOR 1.078 95% CI (1.025, 1.135); | 6 |
4 | Dasdemir, et al. [4] | Turkey | CS | 395 | 187 | 2022 | Hospital based | BMI/BMI Z NA (34.9%) | Mean age 15.04 ± 1.81 years | mean age of the participants was 1.81 ± 15.04 years; being obese before and during COVID-19; mean sleep quality scale scores before and during the COVID-19 (p < 0.01); mean Internet addiction scale scores of the participants before and during the COVID-19 (p < 0.01) | 7 |
5 | Arayess, et al. [5] | Netherlands | R/C | 119 | 59 | 2022 | Facility based | BMI z Mean was increased (+ 0.07, 0.15, 0.18) | Cased 12.6 ± (3.1) Controls 11.7 ± (2.5) | Frequency of no consultations increased (+ 0.41, p value = 0.025), Having a mother with obesity (+ 0.13) p value = 0.019) | 7 |
6 | Boukrim, et al. [6] | Morocco | CS | 406 | 104 | 2021 | Facility based | BMI NA (26.4%) | Adult (Mean age of 20.10 years ± 1.36) | low physical activity (AOR (95% CI, 1.9, 1.18–3.04) p value < 0.008); a balanced diet is protective against obesity (AOR = 0.30, [95% CI 0.15–0.61]) p value < = 0.001); Being male (AOR 0.243(95% CI (0.146–0.40) p value < = 0.0001), | 5 |
7 | Prado et al. [7] | Brazil | CS | 1,828 | 768 | 2022 | survey | BMI NA (50.1%) | Adult > 18 years | Both sexes were significant (p value < = 0.001); low Physical activity (p value < = 0.001) | 5 |
8 | Drieskens et al. [8] | Belgium | CS | 28,029 | 9109 | 2021 | Online survey | BMI NA (28.6%) | Adult > 18 years | increased their consumption of sugar-sweetened beverages (AOR = 1.39 (1.15–1.68) p value < 0.005) increased consumption of sugar beverages ((AOR = 1.29 (95CI, (1.04–1.60) P VALUE < = 0.005); increased their consumption salty or snacks (AOR = 3.6595CI (3.27–4.07) p value < 0.005); less physically active (AOR = 1.91 (95% CI (1.71–2.13) p value < 0.005); increased alcohol consumption (OR = 1.86 (1.66–2.08)) | 5 |
9 | Dubnov et al. [9] | Israel | R/C | 7,768 | 4399 | 2021 | Facility based | weight to age- and sex, Mean was increased (0.07) | Less than 18 years | SDS all (p value = 0.012); Age groups of 2–5.9 (p value = < 0.001) | 8 |
10 | Dun, R et al. [10] | China | R/C | 12 889 | 10,337 | 2021 | Facility based (University) | BMI NA | 17 to 27 years (M = 19, SD = 1) | COVID-19-related stress (AOR = 0.551; 95%CCI (0.254 to 0.847) p value = < 0.001); depression (AOR = 0.017, 95% CI (0.007 to 0.027) p value = 0.001)); both male and female; change in sedentary time (AOR = 0.476, 95% CI (0.460 to 0.492) p value = < 0.001)) | 7 |
11 | Eşer Durmaz et al. [11] | Türkiye | CS | 1000 | 208 | 2022 | Online survey | BMI NA | 18–27 years | Females spend > 2 h/day scale of effects of social media on eating behaviour (SESMEB) (p value < 0.01); emotional eating scale scores (p < 0.01); those have high score of SESMEB (rho 0.132, p < 0.01); moderately score of EES score (rho 0.334, p < 0.01); The interaction between the SESMEB and EES scores increases BMI p = 0.009) | 6 |
12 | Haewon Byeon [12] | South Korean | CS | 50,858 | 26,535 | 2022 | Online survey | BMI NA (17.9%) | 12—18 years | Male (AOR 3.39, 95% CI (3.20, 3.58) p value < 0.001); stress perception high (AOR 1.33, 95% CI ( 1.25, 1.43) p value < 0.001)); stress perception moderate (AOR 1.08, 95% CI (1.01, 1.15) p value = 0.015); drinking soda (AOR 1.21 1.11, 1.31(p value < 0.001); mean sitting hours per day < 6 h (AOR 1.08, 95% CI (1.01, 1.16) P value 0.016)) | 6 |
13 | Gülü, Yapici et al. [13] | Türkiye | CS | 733 | 382 | 2022 | Community based | BMI/percentile NA | 0.5 year | Food addition or eating behaviour (p value = 0.001); Physical activities (p value ≤ 0.007) | 6 |
14 | He, Luo et al. [14] | China | R/C | 5,963 | 2,976 | 2022 | Survey | BMI/BMIz NA | 10.7 ± 2.2 years | Ethnic minority, (p value = 0.002); older age (p value = < 0.001); less daily physical activity (p value = 0.018); reduced sleep duration ( p value = < 0.001); longer screen time(tv) (p value = < 0.001); history of COVID 19 Infection (p value = < 0.001) | 7 |
15 | Jayatissa, Herath et al. [15] | Sri Lanka | P/C | 109 | 63 | 2020 | Prospectively | HAZ/WAZ NA | 26·4 (SD = 16·3) months | Household Food security status (p value = < 0·001) | 5 |
16 | Jia, Zhang et al. [16] | China | R/C | 10,082 | 2,853 | 2021 | Retrospective survey | BMI NA | 19.8 ± 2.3 years | Increased average sedentary time (p < 0.01); the average sleeping time (p < 0.01); Increased screen time (p < 0.01); sedentary time (h/day) (p < 0.01); active transport for commuting/errands Housework (p < 0.01); activity Moderate to vigorous (p < 0.05); physical activity Walking for leisure (p < 0.01) | 6 |
17 | Jimenez, de Hollanda et al. [17] | Spain | CS | 603 | 166 | 2020 | Hospital based | BMI NA | 18 years and above | Low mood (p < 0.01); dietary habits (p < 0.01); purchases of unhealthy food (p = < 0.01); snacking (p = 0.05); consumption of sugary beverages (p value = 0.02); consumption of alcohol (p value = 0.03) | 6 |
18 | Mai A. Khatib et al. [18] | Saudi Arabia | CS | 481 | 184 | 2022 | Online survey | BMI NA | 18 years and above | Physical activity is protected (OR = 1.03, 95% CI (P = 0.008)); While increasing the quantity of meals (OR = 1.03, 95% CI (P = 0.009)); not adapting healthy cooking methods (OR = 1.03, 95% CI (P = 0.004)) | 7 |
19 | Na-Hye Kim et al. [19] | South Korean | CS | 147,346 | 83,123 | 2022 | Survey | BMI NA | 18 years and above | Level of physical activity (p = value 0.001); Average daily hours of sleep (p value = 0.001); Stress (p value = 0.001); Awareness of depression experience (p value = 0.001) | 7 |
20 | Myung-Nam Lee et al. [20] | South Korean | R/C | 12,218 | 4311 | 2022 | survey | BMI NA | 18 years and above | Sex (AOR 2.262, 95CI (1.985, 2.577) p value 0.000)); age (AOR 0.617, 95% CI (0.488 0.781)) p value 0.000)); sitting time per day (AOR 1.023, 95%CI (1.006 1.041) p value 0.008)); walking time per day AOR 1.133, 95% CI (1.064 1.207) p value 0.000)) | 9 |
21 | Miguel López-Moreno et al. [21] | Spain | CS | 675 | 203 | 2020 | Online survey | BMI NA | 18 years and above | Age 18–36 (p = 0.01); sleep quality < 7 h/day (p = 0.01); Sex (p < 0.05); exercise during confinement (p value- 0.01); emotional eater questionnaire (p value < 0.001) | 5 |
22 | Serena Marchitelli et al. [22] | Italy | CC | 110 | 32 | 2020 | Online survey | BMI NA | Age 47.24 ± 14.3 | Having stress (p value = 0.028); low depression for patients without a psychiatric diagnosis (p value = 0.019); binge eating behaviours for patients with a psychiatric diagnosis (p value = < 0.001) | 8 |
23 | Wudeneh Mulugeta et al. [23] | USA | R/C | 11,534 | 7,681 | 2021 | electronic medical records | BMI NA Female (46.1%) Male (40.6) | 18 years and above | Obesity rates increased among Haitian (51.2%-55.0%, P < .01); Hispanic women (50.7%-51.8%, P < .01); 18 to 39 vs ≥ 60 years of Age (OR = 1.45, 95% CI (1.07, 1.97) p value < 0.005)); food and housing insecurity (OR = 1.44, 95% CI = 1.05, 1.97); tobacco use (OR = 1.38, 95% CI (1.07, 1.78) p value < 0.005));. among men; and 18 to 39 vs ≥ 60 years of age (OR = 1.55, 95% CI (1.25, 1.91) p value < 0.005)); His- panics (OR = 1.25, 95% CI (1.01, 1.54) p value < 0.005)); Brazilians (OR = 1.22, 95% CI (1.03, 1.45) p value < 0.005)); tobacco use (OR = 1.36, 95% CI (1.10, 1.69) p value < 0.005)) | 8 |
24 | Asmaa M. Namoos et al. [24] | USA | R/C | 69,510 | 30,904 | 2022 | Secondary data | BMI NA | 18 years and above | he African American population had a higher mean BMI (p value < 0.000) | 7 |
25 | Mirella Nicodemo et al. [25] | Italy | CS | 100 | 32 | 2021 | Online survey | BMI NA | 11.8 (SD) ± 2.5) years | Feeling hungry (p < 0.0001); Age (p = 0.048); having breakfast (p = 0.020); Cooking (p = 0.006) | 6 |
26 | Hong Kyu Park et al. [26] | South Korean | CS | 5,315,435 | 4,046,865 | 2022 | Secondary data | BMI NA | Adolescents | Middle school boys High and middle SES (AOR 0.7, 95% CI (0.1 to 1.4) P value = 0.028)); decreased physical activity male (12–15 years, 50.0%– 40.5%; 16–18 years, 38.2%–34.5%; all P < 0.001); female Aged 12–15 years (21.9%–19.6%, P < 0.001); Increased sedentary time (AOR 1.0 95% CI (0.9 to 1.0) p value < 0.001)) | 5 |
27 | Barkha P. Patel et al. [27] | Canada | R/C | 115 | 51 | 2021 | Secondary data | BMI/ age and sex children NA | children and adolescents | Female and males, body weight (98.29 versus 89.28 kg, (p < 0.001) | 6 |
28 | I Putu Suiraoka et al. [28] | Indonesia | CS | 375 | 172 | 2021 | School based | BMI/z score NA | Children | social factors.; lifestyle.; physical activity; followed by environmental factors | 7 |
29 | Jana Pyšná [29] | Czech Republic | CS | 1456 | 775 | 2022 | School based | BMI-for-age NA | mean age 12.9 year | Physical activity (p value = 0.034); screen (p value = 0.033) | 6 |
30 | Luigi Barrea et al [30] | Italy | R/C | 121 | 43 | 2020 | Hospital based | BMI NA | age 44.9 ± 13.3 years | daytime dysfunction (p < 0.001); decreased physical activity (p = 0.004); Smart working male worsening (p < 0.001) | 6 |
31 | Tereza Sˇ tvera ́ kova [31] | Czech Republic | CS | 302 | 148 | 2021 | Online survey | BMI NA | age = 10.1 ± 1.47 years | Spare time (Q1) (t (239.2) = 3.39., (p = 0.001)); school (Q2) ( t(236.9) = 2.97., p = 0.003)); Physical E (Q3) (t(164.87) = 9.85., p < 0.00)); recesses (Q4) (t(302) = 7.91., p < 0.001)) | 6 |
32 | Anna Vážná et al. [32] | Czech Republic | R/C | 3,518 | 1,759 | 2022 | home-school based online survey | BMI NA | aged 4.71 to 17.33 year | Age trends are highly for both sexes (p-value < 0.001); | 7 |
33 | Paula Sol Ventura et al. [33] | Spain | R/C | 3464 | 1727 | 2021 | Online survey | NA | Less than 17 | Gender showed that sleep (p value = 0.0038); Age different showed delay bedtime (p value < 0.0001); not adequate hours of sleep (p value < 0.0001); disorders of initiating and maintaining sleep (p value < 0.0001) Physical inactivity (OR 2.0 95% CI (1.8, 2.6) p value < 0.005) | 6 |
34 | Shujuan Yang et al. [34] | China | CS | 10 082 | 2,852 | 2020 | Retrospective survey | BMI Mean increased (21.8–22.6) | 19.8 ± 2.3 | Educational status increased BMI (21.3%-25.1%, P < .001); decreases were observed in the frequency of engaging in active transport for commuting/errands (P < .001); leisure-time walking during lockdown (P < .001); 34Average sedentary time increased during both workdays (P < .001) and weekends (P < .001)); well as the screen time (P < .001) | 6 |
35 | Qi Zhu et al. [35] | China | CS | 889 | 347 | 2021 | Online survey | Proportion NA | Age 31.8 ± 11.4 years | Increased food intake (p value < 0.001); Increased food intake for psychological factors (p value < 0.001); Reduced physical activity (p value < 0.001) | 6 |
36 | Huda Al Hourani et al. [36] | Jordan | CS | 477 | 231 | 2021 | Self-reported | Z-scores (BAZ, HAZ, BMI) NA | aged 6–17 years | Spent more than 3 h the screen (p value < 0.001); Increased physical inactivity (p value < 0.001) | 6 |
37 | Nassar et al. [37] | Egypt | CS | 37 | 37 | 2021 | survey | BMI/MBI Z NA | 10.8 ± 0.46 | Sleep hours per day (p value = .038); depression score of mothers (p value = .010); stress score of mothers (p value = .026) | 8 |
38 | Vilma K, et al. [38] | Lithuanian | CS | 2447 | 298 | 2020 | online survey | BMI NA | Age 18 year and above | Sex being female (p value = 0.015); age groups of 36–50 (p value = 0.014); age group 18–35 is (p value = 0.001); Intake of carbonated or sugary drinks (p value = 0.049); increased Intake of fast-food (p value = 0.001); Increased Alcohol consumption (p value = 0.008); decreased Physical activity (p value = 0.001); snacking increased (p value = 0.001) | 6 |
39 | Marianna Pellegrini et al. [39] | Italy | R/C | 150 | 34 | 2020 | Hospital based | BMI NA | 47.9 ± 16.0 | Increased education (inversely, β = − 1.15; 95%CI − 2.13, − 0.17(p = 0.022)); Self-reported anxiety/depression (β = 1.61; 0.53,2.69 (p = 0.004)); not consuming healthy foods (β = 1.48; 0.19, 2.77 (p = 0.026)) | 7 |
40 | Daniela Reyes-Olavarría [40] | Chile | CS | 700 | 172 | 2020 | Online survey | BMI NA | Age 18–62 years | Consumption of fried foods ≥ 3 times per week (OR 3.36,95% CI (p < 0.001); low water consumption (OR 1.58, 95% CI (p = 0.03); sedentary time ≥ 6 h/day (OR 1.85, 95% CI (p = 0.01) | 6 |