Recommended dairy intake is associated with healthy dietary habits, better physical fitness, less obesity, and a healthier lifestyle profile in school-age children

2022 ◽  
pp. 1-20
Author(s):  
Konstantinos D Tambalis ◽  
Demosthenes B Panagiotakos ◽  
Glykeria Psarra ◽  
Labros S Sidossis
Keyword(s):  
Physical Activity ◽  
Physical Fitness ◽  
Screen Time ◽  
Dairy Products ◽  
Dietary Habits ◽  
Population Data ◽  
School Age Children ◽  
Lower Odds ◽  
Dairy Intake ◽  
Dairy Consumption

Abstract This study aimed to identify the association of recommended dairy intake with several dietary habits, obesity, physical fitness, physical activity, screen time, and sleep. Population data were derived from a health survey on a representative sample of 177091 children aged 8 to 17 years. Dairy intake and dietary habits were evaluated using questionnaires (KIDMED index). Participants were characterized as “dairy products consumers” based on whether they met current recommendations for milk or dairy consumption (e.g. if they consumed two yogurts and/or 40 g cheese and a cup of milk, daily). Participants who did not consume the above-mentioned quantities were characterized as “non-consumers.” Anthropometric and physical fitness (PF) data were obtained by trained investigators. Physical activity (PA) status, screen time, and sleeping habits were assessed through self-completed questionnaires. Boys and girls consuming recommended dairy products were 25% (95% CI: 0·71-0·79) and 43% (95% CI: 0·51-0·64) less likely to have low performances in cardiorespiratory fitness tests, Participants from both sexes classified as dairy products consumers had lower odds of central obesity by 10%(95% CI: 0·86-0·95), as compared to non-consumers. Also, boys and girls who consume recommended dairy products had 9% (95% CI: 0·86-0·98) and 11%(95% CI: 0·85-0·94) lower odds to be overweight/obese as compared to non-consumers, after adjusting for several covariates. Moreover, recommended dairy products consumers had lower odds for insufficient sleep by 8% (95% CI: 0·89-0·96) in boys and 14% (95% CI: 0·83-0·90) in girls, for inadequate PA levels by 15% (95% CI: 0·77-0·93) in boys and 16% (95% CI: 0·76-0·90) in girls and for increased screen time by 11% (95% CI: 0·83-0·95) in boys and 9% (95% CI: 0·85-0·97) in girls, than no-consumers. In conclusion, recommended dairy intake is associated with less obesity, better PF, and a healthier lifestyle profile.

Abstract P178: Dairy Consumption and Risk of Becoming Overweight or Obese in Middle-Aged and Older Women.

Circulation ◽  
2014 ◽  
Vol 129 (suppl_1) ◽  
Author(s):  
Susanne Rautiainen ◽  
Lu Wang ◽  
I-Min Lee ◽  
JoAnn E Manson ◽  
Julie E Buring ◽  
...  
Keyword(s):  
Body Weight ◽  
Dairy Products ◽  
Smoking Status ◽  
Health Study ◽  
High Fat ◽  
Low Fat ◽  
Dairy Intake ◽  
Dairy Consumption ◽  
History Of

Background: Dairy products have been positively associated with weight loss and inversely associated with weight gain. However, limited number of studies has investigated the role of dairy consumption in the prevention of becoming overweight or obese. The aim of this study was to prospectively investigate how consumption of dairy products was associated with the risk of becoming overweight or obese among initially normal-weight women. Methods: We studied 19,180 women aged ≥45y from the Women’s Health Study free of cardiovascular disease (CVD), cancer, and diabetes with an initial body mass index (BMI) of 18.5-<25 kg/m 2 . Dairy intake was assessed through a 131-item food-frequency questionnaire. Total dairy intake was defined as the sum of servings per day of low-fat dairy products (skim/low-fat milk, sherbet, yogurt, and cottage/ricotta cheese) and high-fat dairy products (whole milk, cream, sour cream, ice cream, cream cheese, other cheese, and butter). Women self-reported body weight along with obesity-related risk factors on baseline and annual follow-up questionnaires. In multivariable-adjusted analyses, we included the following covariates: baseline age, randomization treatment, BMI, smoking status, vigorous exercise, postmenopausal status, postmenopausal hormone use, history of hypercholesterolemia, history of hypertension, multivitamin use, alcohol intake, total energy intake, and fruit and vegetable intake. Results: During a mean follow-up of 11.2y (216,979 person-years), 8,582 women became overweight or obese (BMI ≥25 kg/m 2 ). The multivariable-adjusted mean changes in body weight (95% confidence interval (CI)) during the follow-up were 3.9 (3.5-4.3), 3.9 (3.5-4.2), 3.8 (3.5-4.2), 3.7 (3.4-4.1), and 3.4 (3.0-3.7) lbs in quintiles 1-5 of total dairy consumption (P-trend: 0.01), respectively. In multivariable-adjusted analyses (Table 1) , women in the highest versus lowest quintile of had a rate ratio (RR) of 0.91 (0.84-0.98, P-trend: 0.16) of becoming overweight or obese. No associations were observed in highest quintiles of low-fat dairy and high-fat dairy intakes. Conclusion: Greater consumption of dairy products may be inversely ssociated with risk of becoming overweight or obese in women.

Association of dietary habits with levels of physical activity and screen time among adolescents living in Saudi Arabia

2013 ◽  
Vol 27 ◽  
pp. 204-213 ◽  
Author(s):  
H. M. Al-Hazzaa ◽  
H. I. Al-Sobayel ◽  
N. A. Abahussain ◽  
D. M. Qahwaji ◽  
M. A. Alahmadi ◽  
...  
Keyword(s):  
Physical Activity ◽  
Saudi Arabia ◽  
Screen Time ◽  
Dietary Habits

scholarly journals Dairy Consumption and Insulin Resistance: The Role of Body Fat, Physical Activity, and Energy Intake

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Larry A. Tucker ◽  
Andrea Erickson ◽  
James D. LeCheminant ◽  
Bruce W. Bailey
Keyword(s):  
Physical Activity ◽  
Insulin Resistance ◽  
Energy Intake ◽  
Body Fat ◽  
Model Assessment ◽  
Middle Aged ◽  
Fat Percentage ◽  
Dairy Intake ◽  
Dairy Consumption ◽  
The Relationship

The relationship between dairy consumption and insulin resistance was ascertained in 272 middle-aged, nondiabetic women using a cross-sectional design. Participants kept 7-day, weighed food records to report their diets, including dairy intake. Insulin resistance was assessed using the homeostatic model assessment (HOMA). The Bod Pod was used to measure body fat percentage, and accelerometry for 7 days was used to objectively index physical activity. Regression analysis was used to determine the extent to which mean HOMA levels differed across low, moderate, and high dairy intake categories. Results showed that women in the highest quartile of dairy consumption had significantly greater log-transformed HOMA values (0.41 ± 0.53) than those in the middle-two quartiles (0.22 ± 0.55) or the lowest quartile (0.19 ± 0.58) (F= 6.90,P= 0.0091). The association remained significant after controlling for each potential confounder individually and all covariates simultaneously. Adjusting for differences in energy intake weakened the relationship most, but the association remained significant. Of the 11 potential confounders, only protein intake differed significantly across the dairy categories, with those consuming high dairy also consuming more total protein than their counterparts. Apparently, high dairy intake is a significant predictor of insulin resistance in middle-aged, nondiabetic women.

scholarly journals Dairy Consumption and Risk of Cancer: An 11 Year Prospective Cohort Study of the China Kadoorie Biobank

2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 1046-1046
Author(s):  
Maria Kakkoura ◽  
Huaidong Du ◽  
Timothy Key ◽  
Zhengming Chen
Keyword(s):  
Breast Cancer ◽  
Liver Cancer ◽  
Dairy Products ◽  
Smoking Status ◽  
Female Breast Cancer ◽  
Chinese Adults ◽  
Dairy Intake ◽  
Dairy Consumption ◽  
Female Breast ◽  
Risk Of Cancer

Abstract Objectives Consumption of dairy products has been associated with possible higher or lower risks of some types of cancer. However, results are often inconsistent and evidence from China, particularly for prospective data, is very limited. We therefore investigated the associations between intake of dairy products and incidence of 17 common cancers in Chinese adults. Methods The prospective China Kadoorie Biobank study recruited slightly over 0.5 million adults, aged 30–79 years, from ten diverse regions (five urban and five rural) in China during 2004–2008. Information on the consumption frequency of major food groups, including total dairy products, was collected at baseline and periodic resurveys, using a validated interviewer-administered laptop-based questionnaire. Over a mean follow-up of 10.8 years, 29,177 incident malignant cancer cases were recorded among the 510,146 study participants, who did not have a prior history of cancer at baseline. Cox regression analyses were performed to estimate hazard ratios (HRs) for incident cancers associated with dairy intake. Analyses were stratified by age-at-risk, sex and region, and adjusted for cancer family history, education, income, alcohol intake, smoking status, physical activity, fresh fruit intake and BMI. Analyses for liver cancer was additionally adjusted for status of hepatitis B surface antigen. Results Overall at baseline, 68.5% of participants reported never or rare dairy consumption and 20.4% reported weekly dairy consumption (≥1 day/week), with milk accounting largely for the total dairy consumption. The multivariable-adjusted HRs per 50 g/day increase in usual dairy consumption were 1.07 (95% CI 1.04–1.10), 1.12 (1.02–1.22), 1.19 (1.01–1.41) and 1.17 (1.07–1.29) for total cancer, liver cancer, lymphoma and female breast cancer, respectively. These associations were similar across subgroups defined by baseline sociodemographic and lifestyle characteristics (e.g., sex and smoking status) and across the ten survey regions. No significant associations were observed between dairy intake and risk of the other 14 common cancer sites. Conclusions In this large study of Chinese adults, higher consumption of dairy products was associated with higher risks of liver cancer, lymphoma and female breast cancer. Funding Sources Wellcome Trust.

scholarly journals Prospective Association of Maternal Educational Level with Child’s Physical Activity, Screen Time, and Diet Quality

Nutrients ◽  
2021 ◽  
Vol 14 (1) ◽  
pp. 160
Author(s):  
Gabriela Cárdenas-Fuentes ◽  
Clara Homs ◽  
Catalina Ramírez-Contreras ◽  
Charlotte Juton ◽  
Rafael Casas-Esteve ◽  
...  
Keyword(s):  
Physical Activity ◽  
Educational Level ◽  
Screen Time ◽  
Fast Food ◽  
Maternal Education ◽  
Dietary Habits ◽  
Unhealthy Lifestyle ◽  
Baked Goods ◽  
Maternal Educational Level

Evidence has identified unhealthy lifestyle behaviors as the main contributors to obesity in children, so it is essential to identify factors that could influence children’s lifestyles. The objective of the present study was to analyze the association of baseline maternal educational level with child’s physical activity, screen time, and dietary habits at follow-up. This community-based cohort study was carried out between 2012 and 2014 and included 1405 children aged 8 to 10 years old. Maternal educational level was used as an indicator of child’s socioeconomic status. Physical activity, screen time, and dietary habits were assessed by validated questionnaires. The odds of having commercially baked goods for breakfast [OR 1.47 (95% CI 1.03 to 2.10)], going more than once a week to a fast-food restaurant [OR 1.64 (95% CI 1.20 to 2.26)], and taking sweets and candys several times a day [OR 3.23 (95% CI 2.14 to 4.87) were significantly higher among children whose mothers had a lower educational level compared to their peers whose mothers had a higher level. These associations held for taking sweets and candy several times a day after additional adjustment for the corresponding dietary behavior at baseline. Maternal educational level was inversely associated (p < 0.001) with child’s screen time at follow up and being in the lowest maternal educational category was associated with an increased odds of surpassing the maximum recommended time of screen time of 120 min per day (OR (95% CI) 1.43 (1.07 to 1.90), p = 0.016). Maternal education is a predictor for unhealthy dietary habits and high screen time in children.

Abstract P039: No Beneficial Associations Between Dairy Products And Kidney Function After Myocardial Infarction

Circulation ◽  
2021 ◽  
Vol 143 (Suppl_1) ◽  
Author(s):  
Anniek C van Westing ◽  
Esther Cruijsen ◽  
Johanna M Geleijnse
Keyword(s):  
Myocardial Infarction ◽  
Kidney Function ◽  
Dairy Products ◽  
Dietary Factors ◽  
Sensitivity Analyses ◽  
Dietary Intakes ◽  
Low Fat ◽  
Dairy Intake ◽  
Dairy Consumption ◽  
Annual Decline

Introduction: Population-based studies showed beneficial associations between (low-fat) dairy products and kidney function. Kidney function declines with age, which is accelerated after myocardial infarction (MI). Little is known about dairy consumption and kidney function in MI patients. Hypothesis: Dairy intake may slow down kidney function decline after MI. Methods: We analysed 2,247 Dutch post-MI patients (60-80 years, 81% men) from the Alpha Omega Cohort. Dietary intakes, including types of dairy, were assessed at baseline (2002-2006) using a validated 203-item food frequency questionnaire. Glomerular filtration rate was estimated at baseline and after ~40 months, using the Chronic Kidney Disease (CKD) Epidemiology Collaboration equations for serum cystatin C alone (eGFR cysC , in ml/min per 1.73m 2 ). Associations between dairy intake and annual eGFR cysC change were obtained using multivariable linear regression models, adjusting for age, sex, lifestyle and dietary factors. Betas (β), with 95% confidence intervals (95% CI), represent additional eGFR cysC changes on top of annual decline, per increment in dairy intake. Results: At baseline, 22% was obese, 18% had diabetes and 15% had CKD (eGFR cysC <60). Median dairy intakes were 70 g/day for milk (62% consumed low-fat milk), 41 g/day for yogurt and 17 g/day for hard cheeses. The mean ± SD eGFR cysC at baseline was 82 ± 19, which on average declined by 3.42 ± 11.04, corresponding to an annual decline of 0.99 ± 3.21. Total milk consumption was not associated with annual eGFR cysC change in the multivariable model (β: 0.01 per 100 g/day, 95% CI: -0.08;0.10; Figure 1). Associations for hard cheeses (per 10 g/day) and yogurt (per 25 g/day) with eGFR cysC decline were also weak and non-significant. Sensitivity analyses in non-diabetic (n=1,843) or non-CKD patients (n=1,910) yielded similar results (Figure 1). Conclusions: Milk, hard cheeses and yogurt consumption were not associated with eGFR cysC decline in Dutch post-MI patients.

Abstract 219: The Impact of Handheld devices on Healthy Lifestyles among School Age Children: A Report from Project Healthy Schools

2014 ◽  
Vol 7 (suppl_1) ◽  
Author(s):  
Alexander Lee ◽  
Qingmei Jiang ◽  
Robert Rogers ◽  
Belinda Vuong ◽  
Wen-Ching Wei ◽  
...  
Keyword(s):  
Physical Activity ◽  
Video Games ◽  
Video Game ◽  
Screen Time ◽  
School Age Children ◽  
Healthy Lifestyles ◽  
School Age ◽  
Sedentary Behaviors ◽  
Healthy Schools ◽  
The Impact

BACKGROUND: Project Healthy Schools (PHS) is an initiative designed to promote healthy lifestyles in middle school-age children in Michigan. Following the introduction of smartphones and portable video game platforms such as the Play Station Portable more children are using these devices. This trend has led to an increase in screen time in preteens resulting in less time being spent on more active, health-promoting activities. This study aims to analyze the relationship between the increase in technology and handheld/gaming devices and the impact on student’s lifestyle behaviors participating in PHS. METHODS: Data on sedentary behaviors were collected from 4,021 middle school students by a self-reported questionnaire. The questionnaire is completed by all participants of PHS at baseline and after completion of the program. The questionnaire focuses on dietary habits, physical activity and sedentary behaviors. Sedentary behavior (screen time) questions included amount of time spent watching TV, playing video games or playing on the computer. In order to determine if technology use was impacting this cohort, baseline survey results were analyzed over a 6 year period. Because the exposure to technology could be associated to socioeconomic status (SE) of the schools, we balanced the sample in SE (based on median household income) through stratified simple random sampling without replacement. Screen times were categorized into high screen time (> 120 min /day) and low screen time (≤ 120 min/day). RESULTS: The trends of different types of screen time were plotted from 2008 to 2013 (2010 data were excluded to avoid the bias caused by the extremely small sample size of this year). A consistent trend of a high percentage of TV viewers was present each year. However, the percentage of students categorized as high computer game users and high video game users increased with each year (Table 1). CONCLUSIONS: There was a significant increase in both time spent playing on the computer and time spent playing video games between the years 2008 - 2013. It’s possible the introduction of smartphones and portable video games has contributed to this trend. It is essential for wellness programs such as PHS to focus on the importance of limiting the amount of time spent playing screen games while promoting increased physical activity to this age group.

Weight status, dietary habits, physical activity, screen time and sleep duration among university students

2020 ◽  
pp. 026010602096086
Author(s):  
Souad Benaich ◽  
Slimane Mehdad ◽  
Zineb Andaloussi ◽  
Saber Boutayeb ◽  
Meryem Alamy ◽  
...  
Keyword(s):  
Physical Activity ◽  
University Students ◽  
Sleep Duration ◽  
Screen Time ◽  
Weight Status ◽  
Dietary Habits ◽  
Daily Intake ◽  
Overweight And Obesity ◽  
Sugary Drinks ◽  
Increased Risk

Background: University life is a crucial period when dietary habits and lifestyle behaviours are formed and may have long-lasting effects on the development of obesity and related chronic diseases. Aim: To investigate the association of overweight/obesity with dietary habits, physical activity, screen time and sleep duration among university students. Methods: A total of 438 students aged 18–26 years were recruited from Mohammed V University in Rabat, Morocco. Anthropometric measurements were assessed using standardized equipment. Data regarding dietary habits, physical and sedentary activities were collected via a self-administered questionnaire. Results: The prevalence of overweight and obesity was 14.8% and 1.6%, respectively. Students who reported frequent consumption (>3 times/week) of fast food, fried potatoes and sugary drinks were more likely to be overweight/obese than peers who did not. Similarly, odds of being overweight/obese were slightly higher among females who reported non-daily intake of fruits and milk or dairy products and among males who ate vegetables less frequently (<7 times/week). Approximately 26% of students were physically inactive, with a higher proportion of females (35.8%) than males (10.7%). Both short and long sleep durations were associated with an increased risk of overweight/obesity in males. In contrast, physical inactivity and increased screen time were associated with a slightly reduced risk of overweight/obesity, particularly in females. Conclusions: Overall, unhealthy dietary habits were associated with an increased risk of overweight/obesity. A similar trend was also observed between abnormal sleep duration and overweight/obesity in males. Interventions to promote healthy dietary and lifestyle habits and prevent overweight/obesity in this population are needed.

scholarly journals Associations of dairy intake with glycemia and insulinemia, independent of obesity, in Brazilian adults: the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil)

2015 ◽  
Vol 101 (4) ◽  
pp. 775-782 ◽  
Author(s):  
Michele Drehmer ◽  
Mark A Pereira ◽  
Maria Inês Schmidt ◽  
Maria Del Carmen B Molina ◽  
Sheila Alvim ◽  
...  
Keyword(s):  
Longitudinal Study ◽  
Dairy Products ◽  
Dietary Factors ◽  
Diabetes Diagnosis ◽  
Model Assessment ◽  
Adult Health ◽  
Dairy Intake ◽  
Hb A1c ◽  
Dairy Consumption ◽  
Fermented Dairy

ABSTRACT Background: Inverse associations between dairy intake and the risk of type 2 diabetes have been shown, but more studies are needed, especially from low- and middle-income countries. Objective: The objective was to describe the association between dairy products and direct measures of glycemic status in adults without known diabetes. Design: The Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) includes 15,105 adults, aged 35–74 y, enrolled from universities and research institutions in 6 Brazilian capital cities. We excluded participants with a known diabetes diagnosis, cardiovascular diseases, and cancer. Dairy consumption was assessed by a food-frequency questionnaire, and we computed servings per day for total and subgroups of dairy. Associations with fasting blood glucose (FG) and fasting insulin, 2-h postload glucose (PG), 2-h postload insulin (PI), glycated hemoglobin (Hb A1c), and homeostasis model assessment of insulin resistance (HOMA-IR) were assessed through multivariable linear regression analysis with adjustment for demographic characteristics, behavioral risk factors, other dietary factors, and anthropometric measurements. Results: The sample size after exclusions was 10,010. The intake of total dairy was inversely associated with FG (linear β for dairy servings/d = −0.46 ± 0.2 mg/dL), PG (−1.25 ± 0.5 mg/dL), PI (−1.52 ± 0.6 mg/dL), Hb A1c (−0.02 ± 0.0%), and HOMA-IR (−0.04 ± 0.0) after adjustment for all covariates (P < 0.05 for all). The findings were consistent across categories of sex, race, obesity status, and dairy fat amount (reduced-fat vs. full-fat dairy). Fermented dairy products showed particularly strong inverse associations with the outcomes, with adjusted differences for a 1-serving/d increment of −0.24 (95% CI: −0.46, −0.02) mg/dL for FG, −0.86 (−1.42, −0.30) mg/dL for PG, and −0.01% (−0.02%, 0.00%) for Hb A1c. Myristic acid was the only nutrient that appeared to mediate the association between dairy intake and glycemia. Conclusion: Dairy intake, especially fermented dairy, was inversely associated with measures of glycemia and insulinemia in Brazilian adults without diagnosed diabetes. This trial was registered at clinicaltrials.com as NCT02320461.

The association between food patterns and adiposity among Canadian children at risk of overweight

2014 ◽  
Vol 39 (2) ◽  
pp. 195-201 ◽  
Author(s):  
Lei Shang ◽  
Jennifer O’Loughlin ◽  
Angelo Tremblay ◽  
Katherine Gray-Donald
Keyword(s):  
Physical Activity ◽  
Waist Circumference ◽  
Body Fat ◽  
Screen Time ◽  
Fast Food ◽  
Dairy Products ◽  
Body Fat Mass ◽  
Children At Risk ◽  
Mass Percentage ◽  
Food Patterns

Identifying food patterns related to obesity can provide information for health promotion in nutrition. Food patterns and their relation with obesity among Canadian children have not been reported to date. Our aim was to identify and describe food patterns associated with obesity in children at risk of overweight. Caucasian children (n = 630) with at least 1 obese biological parent recruited into the Quebec Adiposity and Lifestyle Investigation in Youth (QUALITY) cohort were studied in cross-sectional analyses. Measures of adiposity (body mass index (BMI), waist circumference, body fat mass percentage measured by dual-energy X-ray absorptiometry), screen time, physical activity (accelerometer over 7 days), and dietary intake (three 24-h food recalls) were collected. Factor analysis was used to identify food patterns. The relationships between food patterns and overweight were investigated in logistic and multiple linear regression models. Three food patterns were retained for analysis: traditional food (red meats, main dishes–soups, high-fat dairy products, tomato products, dressings, etc.); healthy food (low-fat dairy products, whole grains, legumes–nuts–seeds, fruits, vegetables); and fast food (sugar-sweetened beverages, fried potatoes, fried chicken, hamburgers–hot dogs–pizza, salty snacks). Higher scores on the fast food pattern were associated with overweight (BMI ≥ 85th percentile), and other measures of adiposity (BMI, waist circumference, body fat mass percentage) after adjustment for age, sex, physical activity, screen time, sleep time, family income, and mother’s obesity (p < 0.05). Controlling for energy intake did not change these relationships. Our results provide further evidence of a link between fast food intake and obesity in children.

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