| Literature DB >> 25129567 |
Abstract
BACKGROUND: Screen-viewing is one of the most common sedentary behaviors among preschoolers. Despite the high prevalence of sedentary behaviors in childcare, little research exists on the context and/or type of activities that account for these particular behaviors. Accordingly, if the amount of screen-viewing accumulated by preschoolers in childcare is not considered, researchers may be underestimating total screen time among this population, as only a portion of their day is being captured (i.e., the home environment). This systematic review provides a synthesis of research on the levels of screen-viewing among preschool-aged children (2.5-5 years) attending childcare (i.e., centre- and home-based childcare). This review also examined the correlates of screen-viewing among preschoolers in this setting. To provide additional contextual information, availability of screen activities was used to help ameliorate the understanding of preschoolers' screen-viewing behaviors in childcare.Entities:
Mesh:
Year: 2014 PMID: 25129567 PMCID: PMC4149526 DOI: 10.1186/1471-2431-14-205
Source DB: PubMed Journal: BMC Pediatr ISSN: 1471-2431 Impact factor: 2.125
A sample search strategy utilized for the present review (EMBASE)
| 1 | preschool child/ | 514746 |
| 2 | preschool*.mp. | 521258 |
| 3 | “early years”.mp. | 3276 |
| 4 | “early childhood”.mp. | 22013 |
| 5 | “preschool-aged children”.mp. | 1006 |
| 6 | “inactivity”.mp. | 12005 |
| 7 | “sedentary activity”.mp. | 381 |
| 8 | “sedentary lifestyle”.mp. or exp sedentary lifestyle/ | 5478 |
| 9 | “physical inactivity”.mp. | 4922 |
| 10 | “sitting”.mp. or exp sitting/ | 26772 |
| 11 | “movement”.mp. or exp “movement (physiology)”/ | 438846 |
| 12 | “inaction”.mp. | 557 |
| 13 | “inactiveness”.mp. | 19 |
| 14 | “exercise”.mp. or exp exercise/ | 339685 |
| 15 | “physical activity”.mp. or exp physical activity/ | 258688 |
| 16 | motor activity.mp. or exp motor activity/ | 376722 |
| 17 | “physical fitness”.mp. or exp fitness/ | 30887 |
| 18 | “screen-viewing”.mp. | 46 |
| 19 | “screen viewing“.mp. | 46 |
| 20 | “tv“.mp. | 11694 |
| 21 | “television”.mp. or exp television/ | 21878 |
| 22 | “video games”.mp. or exp recreation/ | 41745 |
| 23 | exp computer/ or “computer”.mp. | 1057438 |
| 24 | “mobile phone”.mp. or exp mobile phone/ | 7109 |
| 25 | “cell phone”.mp. | 1084 |
| 26 | “PDA”.mp. | 8288 |
| 27 | “smartboards”.mp. | 0 |
| 28 | “screen-media”.mp. | 40 |
| 29 | “screen media”.mp. | 40 |
| 30 | “computer games”.mp. | 572 |
| 31 | “tablets”.mp. | 43489 |
| 32 | “computer tablets”.mp. | 8 |
| 33 | “iPad”.mp. | 505 |
| 34 | “iPod”.mp. | 251 |
| 35 | “MP3 players”.mp. or exp MP3 player/ | 148 |
| 36 | “electronic games”.mp. | 94 |
| 37 | “movies”.mp. | 2308 |
| 38 | “DVD”.mp. | 1398 |
| 39 | “smartphones”.mp. | 362 |
| 40 | “internet”.mp. or exp Internet/ | 83349 |
| 41 | “multiscreen viewing”.mp. | 2 |
| 42 | “multi-screen viewing”.mp. | 2 |
| 43 | exp television viewing/ | 1160 |
| 44 | “wii”.mp. | 506 |
| 45 | “videocassette”.mp. | 76 |
| 46 | “videotape”.mp. or exp videotape/ | 6009 |
| 47 | “screen-based entertainment”.mp. | 8 |
| 48 | “screen based entertainment”.mp. | 8 |
| 49 | “media entertainment”.mp. | 9 |
| 50 | “visual entertainment”.mp. | 1 |
| 51 | “viewing habits”.mp. | 88 |
| 52 | “nintendo DS”.mp. | 9 |
| 53 | “interactive media”.mp. | 124 |
| 54 | “handheld media”.mp. | 1 |
| 55 | “handheld computer”.mp. | 224 |
| 56 | “gameboy”.mp. | 5 |
| 57 | exp technology/ or “technology”.mp. | 345294 |
| 58 | 18 or 19 or 20 or 21 or 22 or 23 or 24 or 25 or 26 or 27 or 28 or 29 or 30 or 31 or 32 or 33 or 34 or 35 or 36 or 37 or 38 or 39 or 40 or 41 or 42 or 43 or 44 or 45 or 46 or 47 or 48 or 49 or 50 or 51 or 52 or 53 or 54 or 55 or 56 or 57 | 1536268 |
| 59 | 6 or 7 or 8 or 9 or 10 or 11 or 12 or 13 or 14 or 15 or 16 or 17 | 1193663 |
| 60 | 1 or 2 or 3 or 4 or 5 | 539762 |
| 61 | 58 and 59 and 60 | 2156 |
| 62 | “active gaming”.mp. | 12 |
| 63 | “active games”.mp. | 37 |
| 64 | “childcare”.mp. or exp child care/ | 50827 |
| 65 | “child care”.mp. | 33633 |
| 66 | “daycare”.mp. or exp day care/ | 10037 |
| 67 | “day care”.mp. | 12935 |
| 68 | “nursery school”.mp. or exp nursery school/ | 1982 |
| 69 | “nurseries”.mp. | 2514 |
| 70 | 18 or 19 or 20 or 21 or 22 or 23 or 24 or 25 or 26 or 27 or 28 or 29 or 30 or 32 or 33 or 34 or 35 or 36 or 37 or 38 or 39 or 40 or 41 or 42 or 43 or 44 or 45 or 46 or 47 or 48 or 49 or 50 or 51 or 52 or 53 or 54 or 55 or 56 or 62 or 63 | 1200783 |
| 71 | 64 or 65 or 66 or 67 or 68 or 69 | 68560 |
| 72 | 59 and 60 and 70 and 71 | 131 |
Note. The asterix symbol (*) was used as a Boolean Operator (specially, a wildcard) to search for all variations of a particular word.
Characteristics of included studies which examined rates of screen-viewing and/or screen-viewing opportunities in childcare
| ▪ Bacigalupa (2005) [ | ▪ United States | ▪ Mixed-methods | ▪ 1 home-based childcare facility | ▪ Three-fold: | ▪ Field notes (direct observation) | | ▪ Each child permitted 18 minutes of video games/day: |
| ▪ 6 preschoolers (mean age = ~5 years†∇; 50% male) | 1. Examine video game use by young children | | | - Children sat and watched the others play (6 children x 18mins = 108 mins/day or 1.8 hrs/day) | |||
| | 2. Explore the nature of children’s interactions during video game use | | | - Could “earn” extra minutes for good behavior | |||
| | 3. Assess video game usage within the home childcare environment | | | | |||
| ▪ Brown et al. (2009) [ | ▪ United States | ▪ Cross-sectional | ▪ 24 center-based childcare facilities | ▪ Two-fold: | ▪ OSRAC-P (direct observation) | | ▪ 0.15 hrs/day (or 8.92 mins/day) per child |
| ▪ 476 preschoolers (mean age = 4.2 years [ | 1. Describe the PA behaviors and the accompanying environmental/social events of preschoolers in childcare | | | - 2% was in light PA | |||
| | 1. Examine which conditions were predictors of MVPA and total PA | | | - 98% was sedentary | |||
| ▪ Christakis & Garrison (2009) [ | ▪ United States | ▪ Cross-Sectional | ▪ 168 childcare facilities (84 home-based, 74 center-based) | ▪ Two-fold: | ▪ Telephone survey (proxy-report measure) | | ▪ Mean ( |
| ▪ Preschoolers’ age range = 3–5 years | 1. Investigate characteristics of programs that predict screen-viewing | | | - Home-based: 2.4 hrs/day (1.8) | |||
| | 2. Quantify television viewing in childcare settings | | | - Center-based: 0.4 hrs/day (0.9) | |||
| | | | | ▪ Mean ( | |||
| - Home-based: 3.4 hrs/day (2.8) | |||||||
| - Center-based: 1.2 hrs/day (1.3) | |||||||
| ▪ Preschoolers in home-based childcare engaged in significantly more television than those in center-based care ( | |||||||
| ▪ > 90% of childcare facilities reported television being for | |||||||
| ▪ Christakis et al. (2006) [ | ▪ United States | ▪ Cross-sectional | ▪ 2,672 childcare facilities (583 home-based; 2,089 center-based) | ▪ Two-fold: | ▪ Survey (proxy-report measure) | | ▪ Mean hours of daily television viewing: |
| ▪ Preschoolers’ age range = 3–5 years | 1. Describe the amount and frequency of television viewing among preschoolers in childcare | | | - Home-based: 1.39 hrs/day∇ | |||
| | 2. Explore predictors of television viewing in the childcare setting | | | - Center-based: 0.36 hrs/day∇ | |||
| | | | | ▪ Preschoolers in home-based childcare watched ~4x more television than those in center-based care | |||
| ▪ Dowda et al. (2004) [ | ▪ United States | ▪ Cross-sectional | ▪ 9 center-based childcare facilities: | ▪ Determine if levels of MVPA among preschoolers varied with differences in policies/practices, and overall quality of childcare facilities | ▪ ECERS-R (direct observation) | | ▪ 3 PAP centers, < 45 mins/day (or < 0.75 hrs/day): |
| - 3 PAP centers (83 children) | | | | - 5.7% ( | |||
| - 6 NPAP centers (183 children) | | | | - 57.5% ( | |||
| ▪ 266 preschoolers (mean age = 4 years∇; 47% males) | | | | ▪ 6 NPAP centers, ≥ 45 mins/day (or ≥ 0.75 hrs/day): | |||
| | | | | - 7.1% ( | |||
| | | | | - 56.7% ( | |||
| ▪ Finch et al. (2012) [ | ▪ Australia | ▪ Quasi-experimental (intervention, 2-arm) | ▪ 484 center-based childcare facilities (275 intervention, 209 control) | ▪ Describe impact of an intervention tasked with increasing the adoption of PA-promoting policies/practices in center-based childcare | ▪ Telephone survey (proxy-report measure) | ▪ Prevalence of PA policies/practices in centers (at baseline): | |
| ▪ Preschoolers’ age range = 3–5 years | | | - 45-60%: | | |||
| | | | - 17-23%: | | |||
| ▪ Finch et al. (2014) [ | ▪ Australia | ▪ Cluster randomized control trial | ▪ 20 center-based childcare facilities (10 in intervention, 10 in control) | ▪ Evaluate the impact of a cluster randomized trial on the PA levels of 3–5 year old children attending center-based childcare | ▪ EPAO (direct observation) | | ▪ Mean ( |
| ▪ 457 preschoolers; age range = 3–5 years; ~55% male) | | | | | |||
| ▪ Gunter et al. (2012) [ | ▪ United States | ▪ Cross-sectional | ▪ 53 home-based childcare facilities | ▪ Asses the current status of PA- and nutrition-related policies/practices in home-based childcare facilities to help inform the | ▪ NAP SACC (proxy-report measure) | ▪ Prevalence of screen-viewing policies/practices in centers: | |
| ▪ 205 preschoolers (age range = 2–5 years) | | | - 60.4%: | | |||
| | | | - 58.5%: | | |||
| | | | - 20.8%: | | |||
| ▪ McWilliams et al. (2009) [ | ▪ United States | ▪ Cross-sectional | ▪ 96 center-based childcare facilities (only 42 with television data) | ▪ Demonstrate how current practices of a large sample of childcare centers compare to best-practice PA guidelines | ▪ EPAO (proxy-report measure) | | ▪ Number of centers engaging in television viewing time (with television present in classroom): |
| ▪ 66 children/center (median enrollment; where ~50% were 3–5 years) | | | | - 17: ≤ 30 mins/day (or ≤ 0.50 hrs/day) | |||
| | | | | - 16: ≥ 31 ≤ 60 mins/day (or ≥ 0.50 ≤ 1 hr/day) | |||
| | | | | - 9: > 60 mins/day (or > 1 hr/day) | |||
| ▪ Natale et al. (2013) [ | ▪ United States | ▪ Cross-sectional | ▪ 1,140 childcare facilities (842 center-based, 298 home-based) | ▪ Explore and differentiate between the PA and nutrition patterns of center- and home-based childcare facilities | ▪ Physical Activity Frequency Questionnaire (proxy-report measure) | ▪ Television viewing limited to ≤ 60 mins/day (or ≤ 1 hr/day; once a week) | |
| ▪ Preschoolers’ age range = 3–5 years (~50% male) | | | ▪ Center-based: 474 | | |||
| | | | ▪ Home-based: 113* | | |||
| | | | ▪ Computer use limited to ≤ 60 mins/day (or ≤ 1 hr/day; once a week) | | |||
| | | | ▪ Center-based:410 | | |||
| | | | ▪ Home-based: 186* | | |||
| ▪ Sisson et al. (2012) [ | ▪ United States | ▪ Cross-sectional | ▪ 314 center-based childcare facilities | ▪ To determine the obesogenic practices of full-day childcare centers | ▪ NAP SACC (proxy-report measure) | ▪ Prevalence of screen-viewing practices in centers: | |
| ▪ Preschoolers’ age range = 2–5 years | | | - 57.4%: | | |||
| ▪ Tandon et al. (2011) [ | ▪ United States | ▪ Cross-sectional | ▪ 6,050 preschoolers (1,900 in home-based childcare; 4,150 in center-based childcare; mean age = 4.37 years [ | ▪ Three-fold: | ▪ Telephone survey (proxy-report measure) | | ▪ Mean television viewing: |
| | 1. Assess preschoolers cumulative daily screen time | | | - Home-based: 1.8 hrs/day∇ | |||
| | 2. Measure the contributions of the home and childcare setting to this total | | | - Center-based: 0.1 hrs/day∇ | |||
| | 3. Characterize children most at risk for excessive screen time | | | ▪ Preschoolers in center-based childcare watched significantly less television in comparison to those attending home-based care ( | |||
| ▪ Taverno Ross et al. (2013) [ | ▪ United States | ▪ Multi-component intervention | ▪ 16 center-based childcare facilities | ▪ Explore the separate influences of “childcare television” vs. “home television” vs. “cumulative television” on preschoolers’ PA and weight | ▪ 3-item survey examining the rules, use, and availability of television in childcare (proxy-report measure) | ▪ Childcare environment was highly conducive to television viewing | |
| ▪ 339 preschoolers (mean age = 4.5 years [ | | | ▪ Mean ( | | |||
| ▪ Trost et al. (2009) [ | ▪ United States | ▪ Cross-sectional | ▪ 297 home-based childcare facilities | ▪ Describe nutrition- and PA-related policies/practice in a representative sample of home-based childcare facilities | ▪ NAP SACC (proxy-report measure) | ▪ Prevalence of screen-viewing policies/practices in centers: | |
| ▪ Preschoolers’ age range = 2–5 years | | | - 64.6%: | | |||
| | | | - 55.1%: | | |||
| | | | - 33.2%: | | |||
| ▪ Trost et al. (2011) [ | ▪ United States | ▪ Quasi-experimental (intervention) | ▪ 236 home-based childcare facilities | ▪ Determine the impact of a community-based train-the-trainer intervention on the nutrition- and PA-related policies/practice of home-based childcare facilities | ▪ NAP SACC (proxy-report measure) | ▪ Mean ( | |
| ▪ Preschoolers’ age range = 2–5 years | | | | | |||
| ▪ Wolfenden et al. (2010) [ | ▪ Australia | ▪ Cross-sectional | ▪ 261 center-based childcare facilities (112 pre-schools, 149 long-day care settings) | ▪ Two-fold: | ▪ Telephone survey (proxy-report measure) | ▪ 25-30% of centers (preschools and long-day care settings, respectively) provided daily opportunities to engage in screen activities | |
| ▪ 27 children/pre-school (mean enrolment; age range = 3–5 years) | 1. Describe PA-related policies/practices of childcare programs | | ▪ Policy supports limiting screen recreation | | |||
| ▪ 39 children/long-day care setting (mean enrollment; age range = 6 weeks-under 6 years) | 2. Ascertain whether characteristics like socio-economic status, remoteness, or size predict these policies and/or practices | | - Preschools = 35 | | |||
| | | | - Long-day care settings = 69 | | |||
| ▪ Zevenbergen & Logan (2008) [ | ▪ Australia | ▪ Cross-sectional | ▪ 25 childcare facilities | ▪ Determine the amount of access young children had to computers at home and in the childcare setting | ▪ Survey (proxy-report measure) | ▪ Mean frequency of access to computers in childcare = 1.04±∇ (out of 3, where a score of 3 = | |
| ▪ 150 preschoolers (age range = 4–5 years) | ▪ Majority of activities undertaken while using the computer were |
Note: † = personal communication with author (majority of participants were 5 years old with none over 6 years); SE = standard error; SD = standard deviation; ∇ = value not reported (i.e., study authors did not provide SD or presented data was used to extrapolate a value by review author, and as such, no SD available); ± = this score may have represented an anomaly (disproportionally high score attributed to one center with a high response rate – when removed, mean frequency = 0.30); * = significant difference; OSRAC-P = Observational System for Recording Physical Activity in Children-Preschool Version; ECERS-P = Early Childhood Environment Rating Scale-Revised Edition; EPAO = Environmental and Policy Assessment and Observation; NAP SACC = Nutrition and Physical Activity Self-Assessment for Child Care; PA = physical activity; MVPA = moderate-to-vigorous physical activity; PAP = physical activity promoting; NPAP = non-physical activity promoting.
Figure 1PRISMA flow diagram for identification, screening, eligibility, and inclusion in study.
Correlates of screen-viewing among preschoolers in childcare
| Sex | [ | | Inconclusive | |
| High level of education | | [ | Strong | |
| [ | ||||
| [ | ||||
| High volume of staff/center | | [C] [ | Inconclusive | |
| Daily hours of operation | [ | | Inconclusive | |
| Type of childcare arrangement | [ | | Strong | |
| [ | ||||
| [ | ||||
| [ | ||||
| Provision of after-school care | [ | | Inconclusive | |
| Open practices/policies re: screen use | [ | | Inconclusive | |
| Low SES neighborhood | [ | Inconclusive | ||
Note. H = home-based childcare; C = center-based childcare; H/C = both childcare arrangement types; SES = socio-economic status; inconclusive = fewer than 3 studies examined the variable (therefore, no conclusions could be drawn); strong consistency = 75-100% of studies examining the factor support the association.