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More screen time, less sleep: What researchers observed in children with obesity (opens in a new tab)

news-medical.net · 2026-11-02

Short answerEvidenceSource

Short answer

Mostly supported

Mostly supported.

The claims we could check match the study, but some claims were not covered by the evidence reviewed.

  • 5 supported
  • 2 not covered

Checked against the study summary. The full text wasn't available, so some details couldn't be settled either way.

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Follow the evidence trail
1
2

NewsLink checks it

Mostly supported

Every claim we could check holds up. Five of seven claims match the study. This overall rating is based only on the claims we could check. Two claims the study doesn't address.

  • 5 supported
  • 2 not covered
Open claim evidence
3
Then inspect each claim

Evidence layer

Claim by claim

Each claim gets a verdict. Expand it to see the evidence directly below.

7 claims in this story

Showing all 7 claimsChoose a verdict to focus the list.

Claim 1 of 7Not coveredThe study included 70 Spanish children aged 3–15 years attending a tertiary pediatric endocrinology clinic, with 26 normal-weight children and 44 children with obesity.View evidenceHide evidence

As stated70 participants; 26 normal-weight; 44 obese

Why this verdict

The abstract profile supports n=70, obese n=44, non-obese n=26, and a pediatric clinical sample with mean age about 10.8 years. However, the supplied abstract profile does not verify Spain, the 3–15-year age range, or tertiary pediatric endocrinology clinic recruitment, so the full sample-description claim is not fully verifiable at this depth.

1

Study evidence

After multivariable adjustment, greater daily screen time was associated with higher odds of obesity.OR 3.08 (95% CI 1.53–7.90)

“A cross-sectional study was conducted on 70 patients (mean age 10.8 years). Subjects were categorized into obese (n = 44) and non-obese (n = 26) groups.”
Claim 2 of 7Not coveredThe authors cautioned that the cross-sectional design, small sample size, parent-reported behaviors, and clinic-based recruitment limit causal interpretation and generalizability.View evidenceHide evidence

Why this verdict

The abstract profile supports major limitations including cross-sectional design, small single-center clinical sample, limited generalizability, unspecified covariates, and limited exposure-measurement detail. However, it does not verify that behaviors were specifically parent-reported, nor does it directly establish that the authors themselves cautioned all listed points in that form, so the full claim is not verifiable at abstract depth.

1

Study evidence

After multivariable adjustment, greater daily screen time was associated with higher odds of obesity.OR 3.08 (95% CI 1.53–7.90)

“A cross-sectional study was conducted on 70 patients (mean age 10.8 years). Subjects were categorized into obese (n = 44) and non-obese (n = 26) groups.”
2

Study evidence

Obese children had shorter reported sleep duration than non-obese peers (8.4 h vs 9.1 h).Mean difference: 0.7 hours (P = 0.021)

“Regarding lifestyle, obese children reported... shorter sleep duration (8.4 hours vs 9.1 hours; P = 0.021).”
Claim 3 of 7SupportedResearchers examined associations between sleep quality, screen exposure, and the prevalence of excess weight in children in a study appearing in the World Journal of Clinical Pediatrics.View evidenceHide evidence

Why this verdict

The abstract-level profile supports that the study evaluated associations among daily screen time, sleep quality/disturbances, and overweight/obesity in a pediatric clinical population. The journal name itself is not separately evidenced in the supplied profile, but the substantive study framing is supported.

1

Study evidence

After multivariable adjustment, greater daily screen time was associated with higher odds of obesity.OR 3.08 (95% CI 1.53–7.90)

“A cross-sectional study was conducted on 70 patients (mean age 10.8 years). Subjects were categorized into obese (n = 44) and non-obese (n = 26) groups.”
2

Study evidence

Obese children had shorter reported sleep duration than non-obese peers (8.4 h vs 9.1 h).Mean difference: 0.7 hours (P = 0.021)

“Regarding lifestyle, obese children reported... shorter sleep duration (8.4 hours vs 9.1 hours; P = 0.021).”
Claim 4 of 7SupportedDaily recreational screen time exposure was higher in the obesity group, 2.9 hours per day versus 2.1 hours per day in children with normal weight, and higher screen-time scores were associated with about threefold greater odds of obesity after adjustment.View evidenceHide evidence

As stated2.9 h/day vs 2.1 h/day; approximately threefold greater odds

Why this verdict

The profile supports higher mean daily screen time in the obesity group, 2.9 versus 2.1 hours/day, and an adjusted association between greater screen time and obesity with OR 3.08, which is reasonably described as about threefold greater odds.

1

Study evidence

After multivariable adjustment, greater daily screen time was associated with higher odds of obesity.OR 3.08 (95% CI 1.53–7.90)

“A cross-sectional study was conducted on 70 patients (mean age 10.8 years). Subjects were categorized into obese (n = 44) and non-obese (n = 26) groups.”
Claim 5 of 7SupportedChildren with obesity had significantly higher body fat, visceral fat area, systolic blood pressure, insulin, and HOMA-IR, and lower HDL-C than normal-weight children.View evidenceHide evidence

Why this verdict

The profile reports obesity was significantly associated with higher perivisceral fat, systolic blood pressure, insulin, and HOMA index, and lower HDL cholesterol. The story’s wording of body fat/visceral fat is consistent with the profile’s body-composition/perivisceral-fat reporting at abstract level.

1

Study evidence

Obesity was associated with higher perivisceral fat in the sample.P < 0.001

“Anthropometric data, body composition (perivisceral fat), biochemical parameters [insulin, Homeostasis Model Assessment (HOMA), lipid profile]... were analyzed.”
Claim 6 of 7SupportedChildren with obesity slept less time than normal-weight children, with average sleep duration of 8.4 hours versus 9.1 hours.View evidenceHide evidence

As stated8.4 h vs 9.1 h

Why this verdict

The profile explicitly reports shorter sleep duration in obese versus non-obese children, 8.4 hours versus 9.1 hours, with P=0.021.

1

Study evidence

After multivariable adjustment, greater daily screen time was associated with higher odds of obesity.OR 3.08 (95% CI 1.53–7.90)

“A cross-sectional study was conducted on 70 patients (mean age 10.8 years). Subjects were categorized into obese (n = 44) and non-obese (n = 26) groups.”
2

Study evidence

Obese children had shorter reported sleep duration than non-obese peers (8.4 h vs 9.1 h).Mean difference: 0.7 hours (P = 0.021)

“Regarding lifestyle, obese children reported... shorter sleep duration (8.4 hours vs 9.1 hours; P = 0.021).”
Claim 7 of 7SupportedThe association between screen time and sleep disturbances did not reach statistical significance.View evidenceHide evidence

Why this verdict

The profile reports the adjusted screen-time association with sleep problems as OR 1.65 with 95% CI 0.96–2.99. Because the confidence interval crosses 1, the story’s hedged statement that it did not reach statistical significance is supported.

1

Study evidence

After multivariable adjustment, greater daily screen time was associated with higher odds of obesity.OR 3.08 (95% CI 1.53–7.90)

“A cross-sectional study was conducted on 70 patients (mean age 10.8 years). Subjects were categorized into obese (n = 44) and non-obese (n = 26) groups.”
2

Study evidence

Obese children had shorter reported sleep duration than non-obese peers (8.4 h vs 9.1 h).Mean difference: 0.7 hours (P = 0.021)

“Regarding lifestyle, obese children reported... shorter sleep duration (8.4 hours vs 9.1 hours; P = 0.021).”
Then look for missing context

Context layer

What the story carried across

Nothing material from the study was dropped.

6 things the story did carry across
  • Cross-sectional pediatric clinical study design and group structure: n=70 children, obese n=44 versus non-obese n=26, with observational comparisons and adjusted logistic regression.
  • Primary finding that higher daily screen time was associated with obesity, including higher mean screen time in the obesity group and adjusted OR 3.08 for obesity.
  • Sleep findings: obese children had shorter sleep duration and a higher prevalence of chronic sleep disturbances than non-obese children.
  • Screen time and sleep-problem association was positive but borderline/imprecise at abstract level, with OR 1.65 and 95% CI 0.96–2.99.
  • Metabolic and cardiometabolic characterization: obesity was associated with higher perivisceral fat, systolic blood pressure, insulin, HOMA index, and lower HDL cholesterol.
  • Key limitations: cross-sectional design, small single-center clinical sample, limited generalizability, unspecified adjusted covariates, and limited detail on measurement of screen time and sleep problems.
Then read the study layer

Study layer

Study at a glance

Scan the study first. Expand only the parts you want to inspect.

Pieces of work

4

Evidence read

study summary

Lead result

human in vivo

1Lead resulthuman in vivoEstimate the association between daily screen time exposure and overweight/obesity status in a pediatric clinical population, including adjusted (multivariable) risk estimates.Cross-sectional observational study; multivariable binary logistic regressionExpand

In plain English

Cross-sectional clinical study (n=70, mean age 10.8 y) comparing obese (n=44) vs non-obese (n=26) children to evaluate associations of daily screen time with obesity status and sleep disturbances. Daily screen time was higher and sleep duration shorter in the obese group; multivariable logistic regression reported an adjusted association between greater screen time and obesity (OR 3.08, 95% CI 1.53–7.90) and a positive association with sleep problems (OR 1.65, 95% CI 0.96–2.99).

Key findings

  • After multivariable adjustment, greater daily screen time was associated with higher odds of obesity.OR 3.08 (95% CI 1.53–7.90)
  • Screen time was positively associated with sleep problems in adjusted analysis.OR 1.65 (95% CI 0.96–2.99)
“A cross-sectional study was conducted on 70 patients (mean age 10.8 years). Subjects were categorized into obese (n = 44) and non-obese (n = 26) groups.”
What this piece can’t prove
  • Small single-center clinical sample (n=70) may limit statistical power and generalizability.
  • Abstract does not specify which covariates were included in adjusted logistic regression models.

2 further details could not be confirmed from the summary.

2human in vivoEstimate the association between sleep duration/quality (including chronic sleep disturbances) and overweight/obesity status, and characterize sleep problems as related to screen time.Cross-sectional observational studyExpand

In plain English

In a cross-sectional clinical sample of 70 children (mean age 10.8 years) the authors compared sleep duration and prevalence of chronic sleep disturbances between obese (n=44) and non-obese (n=26) participants, and modeled sleep disturbances as an outcome in relation to screen time using binary logistic regression adjusted for confounders.

Key findings

  • Obese children had shorter reported sleep duration than non-obese peers (8.4 h vs 9.1 h).Mean difference: 0.7 hours (P = 0.021)
  • Prevalence of chronic sleep disturbances was higher in obese versus non-obese children.39% vs 8.3% (P = 0.016)
“Regarding lifestyle, obese children reported... shorter sleep duration (8.4 hours vs 9.1 hours; P = 0.021).”
What this piece can’t prove
  • Cross-sectional observational design — temporal and causal relationships cannot be established.
  • Relatively small clinical sample (n=70) limits statistical power and generalizability.

2 further details could not be confirmed from the summary.

3human in vivoCharacterize metabolic, anthropometric, and cardiometabolic comorbidities of obesity in the sampled pediatric clinic population (e.g., perivisceral fat, BP, insulin/HOMA, lipid profile).Cross-sectional clinical/biochemical characterizationExpand

In plain English

Cross-sectional clinical characterization (n=70, mean age 10.8 years) comparing obese (n=44) and non-obese (n=26) pediatric patients. Obesity in this sample was associated with greater perivisceral fat, higher systolic blood pressure, higher fasting insulin and HOMA index, and lower HDL cholesterol (p-values reported in abstract). Measurements reported include anthropometrics, body composition (perivisceral fat), blood pressure, fasting insulin and lipid profile, with HOMA calculated; between-group statistical comparisons were performed.

Key findings

  • Obesity was associated with higher perivisceral fat in the sample.P < 0.001
  • Obese children had higher systolic blood pressure compared with non-obese children.P = 0.009
“Anthropometric data, body composition (perivisceral fat), biochemical parameters [insulin, Homeostasis Model Assessment (HOMA), lipid profile]... were analyzed.”
What this piece can’t prove
  • Cross-sectional single-clinic sample: cannot determine temporality or causality.
  • Relatively small sample size (n=70) and unequal group sizes (44 vs 26) limit precision and generalizability.
  • Abstract omits measurement modality details for perivisceral fat and assay/measurement protocols for biochemical markers.

1 further detail could not be confirmed from the summary.

4human in vivoAssess sociodemographic and lifestyle correlates/compounding factors associated with pediatric obesity in this sample (e.g., maternal education, family history, diet/physical activity indices such as Krece Plus and KIDMED).cross-sectional observationalExpand

In plain English

In a cross-sectional clinic sample of 70 children (44 obese, 26 non-obese), the study collected sociodemographic data (including maternal education and family history of diabetes) and lifestyle indices using Krece Plus and KIDMED. Maternal education level was significantly lower in the obese group (P = 0.006); family history of diabetes is reported in the conclusion as a compounding factor for pediatric excess weight. Krece Plus and KIDMED were administered but the abstract does not report their between-group comparisons or effect estimates.

Key findings

  • Maternal education level was significantly lower in the obese group compared with the non-obese group (P = 0.006).
  • Family history of diabetes is identified by the authors as a significant compounding factor for pediatric excess weight (reported in the conclusion).
“...lifestyle habits (Krece Plus and KIDMED tests) were analyzed.”
What this piece can’t prove
  • Cross-sectional design prevents inference of temporality or causality between sociodemographic/lifestyle factors and obesity.
  • Small, single-center clinical sample (n=70; obese n=44, non-obese n=26) limits statistical power and generalizability.
  • Abstract lacks detailed reporting of how maternal education and family history variables were measured/categorized and does not provide effect sizes or adjusted estimates for these sociodemographic variables.
  • Potential residual confounding and reliance on questionnaire-based lifestyle measures are possible sources of bias.

1 further detail could not be confirmed from the summary.

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