Multiple Healthful Dietary Patterns and Type 2 Diabetes in the Women's Health Initiative.

The relationship between various diet quality indices and risk of type 2 diabetes (T2D) remains unsettled. We compared associations of 4 diet quality indices--the Alternate Mediterranean Diet Index, Healthy Eating Index 2010, Alternate Healthy Eating Index 2010, and the Dietary Approaches to Stop Hypertension (DASH) Index--with reported T2D in the Women's Health Initiative, overall, by race/ethnicity, and with/without adjustment for overweight/obesity at enrollment (a potential mediator). This cohort (n = 101,504) included postmenopausal women without T2D who completed a baseline food frequency questionnaire from which the 4 diet quality index scores were derived. Higher scores on the indices indicated a better diet. Cox regression was used to estimate multivariate hazard ratios for T2D. Pearson coefficients for correlation among the indices ranged from 0.55 to 0.74. Follow-up took place from 1993 to 2013. During a median 15 years of follow-up, 10,815 incident cases of T2D occurred. For each diet quality index, a 1-standard-deviation higher score was associated with 10%-14% lower T2D risk (P < 0.001). Adjusting for overweight/obesity at enrollment attenuated but did not eliminate associations to 5%-10% lower risk per 1-standard-deviation higher score (P < 0.001). For all 4 dietary indices examined, higher scores were inversely associated with T2D overall and across racial/ethnic groups. Multiple forms of a healthful diet were inversely associated with T2D in these postmenopausal women.

Comparison of Self-Reported Sleep Duration With Actigraphy: Results From the Hispanic Community Health Study/Study of Latinos Sueño Ancillary Study.

Most studies of sleep and health outcomes rely on self-reported sleep duration, although correlation with objective measures is poor. In this study, we defined sociodemographic and sleep characteristics associated with misreporting and assessed whether accounting for these factors better explains variation in objective sleep duration among 2,086 participants in the Hispanic Community Health Study/Study of Latinos who completed more than 5 nights of wrist actigraphy and reported habitual bed/wake times from 2010 to 2013. Using linear regression, we examined self-report as a predictor of actigraphy-assessed sleep duration. Mean amount of time spent asleep was 7.85 (standard deviation, 1.12) hours by self-report and 6.74 (standard deviation, 1.02) hours by actigraphy; correlation between them was 0.43. For each additional hour of self-reported sleep, actigraphy time spent asleep increased by 20 minutes (95% confidence interval: 19, 22). Correlations between self-reported and actigraphy-assessed time spent asleep were lower with male sex, younger age, sleep efficiency <85%, and night-to-night variability in sleep duration ≥1.5 hours. Adding sociodemographic and sleep factors to self-reports increased the proportion of variance explained in actigraphy-assessed sleep slightly (18%-32%). In this large validation study including Hispanics/Latinos, we demonstrated a moderate correlation between self-reported and actigraphy-assessed time spent asleep. The performance of self-reports varied by demographic and sleep measures but not by Hispanic subgroup.

Association between sleeping difficulty and type 2 diabetes in women.

AIMS/HYPOTHESIS: Sleeping difficulty has been associated with type 2 diabetes in some prior studies. Whether the observed associations are independent of health behaviours, other cardiovascular risk factors or other sleep disorders is unclear. METHODS: We analysed data from 133,353 women without diabetes, cardiovascular disease and cancer at baseline in the Nurses' Health Study (NHS, 2000-2010) and the NHSII (2001-2011). Sleeping difficulty was assessed as having difficulty falling or staying asleep 'all of the time' or 'most of the time' at baseline (2000 in NHS and 2001 in NHSII). RESULTS: We documented 6,407 incident cases of type 2 diabetes during up to 10 years of follow-up. After adjustment for lifestyle factors at baseline, comparing women with and without sleeping difficulty, the multivariate-adjusted HR (95% CI) for type 2 diabetes was 1.45 (95% CI 1.33, 1.58), which changed to 1.22 (95% CI 1.12, 1.34) after further adjustment for hypertension, depression and BMI based on the updated repeated measurements. Women who reported all four sleep conditions (sleeping difficulty, frequent snoring, sleep duration ≤6 h and sleep apnoea in NHS or rotating shift work in NHSII) had more than a fourfold increased likelihood of type 2 diabetes (HR 4.17, 95% CI 2.93, 5.91). CONCLUSIONS/INTERPRETATION: Sleeping difficulty was significantly associated with type 2 diabetes. This association was partially explained by associations with hypertension, BMI and depression symptoms, and was particularly strong when combined with other sleep disorders. Our findings highlight the importance of sleep disturbance in the development and prevention of type 2 diabetes.

Chronic insufficient sleep and diet quality: Contributors to childhood obesity.

OBJECTIVE: To examine associations of chronic insufficient sleep with diet and whether diet explains the sleep-adiposity relationship. METHODS: In Project Viva, 1,046 parents reported children's sleep duration at 6 m and annually until midchildhood (7 y). The main exposure was a sleep curtailment score (6 m-7 y) ranging from 0 (maximal curtailment) to 13 (adequate sleep). In mid-childhood, parents reported children's diet; researchers measured height/weight. Multivariable linear regression assessed associations of sleep with diet (Youth Healthy Eating Index [YHEI]); sleep with BMI z-score adjusting for YHEI; and, secondarily, joint associations of sleep and YHEI with BMI. RESULTS: Mean (SD) sleep and YHEI scores were 10.21 (2.71) and 58.76 (10.37). Longer sleep duration was associated with higher YHEI in mid-childhood (0.59 points/unit sleep score; 95% CI: 0.32, 0.86). Although higher YHEI was associated with lower BMI z-score (-0.07 units/10-point increase; 95% CI: -0.13, -0.01), adjustment for YHEI did not attenuate sleep-BMI associations. Children with sleep and YHEI scores below the median (<11 and <60) had BMI z-scores 0.34 units higher (95% CI: 0.16, 0.51) than children with sleep and YHEI scores above the median. CONCLUSIONS: While parent-reported diet did not explain inverse associations of sleep with adiposity, both sufficient sleep and high-quality diets are important to obesity prevention.

Long-term changes in sleep duration, energy balance and risk of type 2 diabetes.

AIMS/HYPOTHESIS: Baseline sleep duration has a U-shaped relationship with type 2 diabetes, but little research examines the associated changes. We examined long-term changes in sleep duration and concomitant changes in diet, physical activity, weight and subsequent diabetes. METHODS: The cohort includes 59,031 women aged 55-83 years in the Nurses' Health Study without diabetes in 2000. Change in sleep duration is the difference between self-reported 24 h sleep duration in 1986 and 2000. Diet, physical activity and covariates were updated every 2-4 years. Self-reported diabetes was confirmed via validated questionnaires. Cox regression models were adjusted for 1986 sleep duration and 1986 values of diabetes risk factors, including BMI, and subsequently for change in covariates from 1986 to 2000. RESULTS: We documented 3,513 incident diabetes cases through to 2012. Compared with no change, decreases in sleep duration were adversely associated with changes in diet quality and physical activity, while increases were associated with greater weight gain. After adjustment for 1986 covariates, HRs (95% CI) for ≤ -2, > -2 to < 0, > 0 to < 2 and ≥ 2 h/day changes in sleep duration (vs no change) were 1.09 (0.93, 1.28), 1.10 (1.001, 1.12), 1.09 (1.00, 1.18) and 1.30 (1.14, 1.46), respectively. Additional adjustment for diet and physical activity did not appreciably alter the results. Increases in sleep duration ≥ 2 h/day remained adversely associated with diabetes (HR [95% CI]: 1.15 [1.01, 1.30]) after adjustment for change in covariates, including BMI. CONCLUSIONS/INTERPRETATION: Increases in sleep duration among middle-aged and older women were modestly associated with risk of diabetes; changes in diet, physical activity and BMI did not explain associations.

Joint associations of insomnia and sleep duration with prevalent diabetes: The Hispanic Community Health Study/Study of Latinos (HCHS/SOL).

BACKGROUND: Inadequate sleep quantity and quality are associated with a higher risk of type 2 diabetes. This relationship is not well-examined in U.S. Hispanics/Latinos, and prior analyses may be confounded by sleep apnea. This cross-sectional study examined joint associations of sleep duration and insomnia with diabetes among diverse U.S. Hispanic/Latinos. METHODS: Baseline data on sleep quantity and quality were obtained from 15,227 participants (mean age 41; range 18-74 years) from the Hispanic Community Health Study/Study of Latinos. Complex survey multinomial logistic regression was used to examine associations between prevalent diabetes and six phenotypes defined by cross-classifying sleep duration (short ≤6 h, average >6-9 h, long >9 h) and insomnia, adjusting for sex, age, site and Hispanic/Latino background interaction, education, physical activity, diet quality, and sleep apnea. RESULTS: In the weighted population, 14% had diabetes, 28% had insomnia, 9% were short sleepers, and 19% were long sleepers. Compared with those with average sleep and no insomnia, those with short sleep and insomnia were more likely to have diabetes (odds ratio [OR] 1.46; 95% confidence interval [CI] 1.02, 2.11). Average sleepers with insomnia (1.28; 95% CI 1.02, 1.61) and long sleepers without insomnia (1.33; 95% CI 1.07, 1.65) also had elevated odds of diabetes. Further adjustment for body mass index attenuated associations, except with long sleep without insomnia. CONCLUSIONS: Both decreased quantity and quality of sleep are associated with diabetes in Hispanic/Latinos, with the greatest odds among those with short sleep duration and insomnia. The association is largely explained by obesity.

Longitudinal associations of sleep curtailment with metabolic risk in mid-childhood.

OBJECTIVE: To examine associations of chronic insufficient sleep with mid-childhood cardiometabolic health. METHODS: At 6 months and yearly from 1 to 7 years, mothers participating in the Project Viva cohort reported children's 24-h sleep duration. The main exposure was a sleep curtailment score, ranging from 0 (maximal curtailment) to 13 (never having curtailed sleep). The main outcome was a mid-childhood metabolic risk score, derived as the mean of five sex- and cohort-specific z scores for waist circumference, systolic blood pressure, HDL cholesterol (scaled inversely), and log-transformed triglycerides and HOMA-IR; higher scores indicate higher risk. RESULTS: The mean (SD) sleep score was 10.0 (2.8); 5.1% scored 0-4, 13.9% scored 5-7, 14.1% scored 8-9, 28.7% scored 10-11, and 38.3% scored 12-13. Mean (SD, range) metabolic risk score was -0.03 (0.6, -1.8 to 2.6). In multivariable models, the metabolic risk score difference for children with most versus least curtailed sleep was 0.29 units (95% confidence interval [CI]: 0.02, 0.57). Further adjustment for mid-childhood BMI z score attenuated this difference to 0.08 units (95% CI: -0.14, 0.30). CONCLUSIONS: Chronic insufficient sleep from infancy to school-age was associated with higher mid-childhood metabolic risk. This association was explained by sleep duration's influence on mid-childhood adiposity.

Television viewing, bedroom television, and sleep duration from infancy to mid-childhood.

BACKGROUND: Television and insufficient sleep are associated with poor mental and physical health. This study assessed associations of TV viewing and bedroom TV with sleep duration from infancy to midchildhood. METHOD: We studied 1864 children in Project Viva. Parents reported children's average daily TV viewing and sleep (at 6 months and annually from 1-7 years) and the presence of a bedroom TV (annually 4-7 years). We used mixed effects models to assess associations of TV exposures with contemporaneous sleep, adjusting for child age, gender, race/ethnicity, maternal education, and income. RESULTS: Six hundred forty-three children (35%) were racial/ethnic minorities; 37% of households had incomes ≤$70 000. From 6 months to 7 years, mean (SD) sleep duration decreased from 12.2 (2.0) hours to 9.8 (0.9) hours per day; TV viewing increased from 0.9 (1.2) hours to 1.6 (1.0) hours per day. At 4 years, 17% had a bedroom TV, rising to 23% at 7 years. Each 1 hour per day increase in lifetime TV viewing was associated with 7 minutes per day (95% confidence interval [CI]: 4 to 10) shorter sleep. The association of bedroom TV varied by race/ethnicity; bedroom TV was associated with 31 minutes per day shorter sleep (95% CI: 16 to 45) among racial/ethnic minority children, but not among white, non-Hispanic children (8 fewer minutes per day [95% CI: -19 to 2]). CONCLUSIONS: More TV viewing, and, among racial/ethnic minority children, the presence of a bedroom TV, were associated with shorter sleep from infancy to midchildhood.

Feasibility and impact of Creciendo Sanos, a clinic-based pilot intervention to prevent obesity among preschool children in Mexico City.

BACKGROUND: Mexico has the highest adult overweight and obesity prevalence in the Americas; 23.8% of children <5 years old are at risk for overweight and 9.7% are already overweight or obese. Creciendo Sanos was a pilot intervention to prevent obesity among preschoolers in Instituto Mexicano del Seguro Social (IMSS) clinics. METHODS: We randomized 4 IMSS primary care clinics to either 6 weekly educational sessions promoting healthful nutrition and physical activity or usual care. We recruited 306 parent-child pairs: 168 intervention, 138 usual care. Children were 2-5 years old with WHO body mass index (BMI) z-score 0-3. We measured children's height and weight and parents reported children's diet and physical activity at baseline and 3 and 6-month follow-up. We analyzed behavioral and BMI outcomes with generalized mixed models incorporating multiple imputation for missing values. RESULTS: 93 (55%) intervention and 96 (70%) usual care families completed 3 and 6-month follow-up. At 3 months, intervention v. usual care children increased vegetables by 6.3 servings/week (95% CI, 1.8, 10.8). In stratified analyses, intervention participants with high program adherence (5-6 sessions) decreased snacks and screen time and increased vegetables v. usual care. No further effects on behavioral outcomes or BMI were observed. Transportation time and expenses were barriers to adherence. 90% of parents who completed the post-intervention survey were satisfied with the program. CONCLUSIONS: Although satisfaction was high among participants, barriers to participation and retention included transportation cost and time. In intention to treat analyses, we found intervention effects on vegetable intake, but not other behaviors or BMI. TRIAL REGISTRATION: ClinicalTrials.gov NCT01539070.Comisión Nacional de Investigación Científica del IMSS: 2009-785-120.

Participant characteristics and intervention processes associated with reductions in television viewing in the High Five for Kids study.

OBJECTIVE: To evaluate the High Five for Kids intervention effect on television within subgroups, examine participant characteristics associated with process measures and assess perceived helpfulness of television intervention components. METHOD: High Five (randomized controlled trial of 445 overweight/obese 2-7 year-olds in Massachusetts [2006-2008]) reduced television by 0.36 h/day. 1-year effects on television viewing, stratified by subgroup, were assessed using linear regression. Among intervention participants (n=253), associations of intervention component helpfulness with television reduction were examined using linear regression and associations of participant characteristics with processes linked to television reduction (choosing television and completing intervention visits) were examined using logistic regression. RESULTS: High Five reduced television across subgroups. Parents of Latino (versus white) children had lower odds of completing ≥2 study visits (Odds Ratio: 0.39 [95% Confidence Interval: 0.18, 0.84]). Parents of black (versus white) children had higher odds of choosing television (Odds Ratio: 2.23 [95% Confidence Interval: 1.08, 4.59]), as did parents of obese (versus overweight) children and children watching ≥2 h/day (versus <2) at baseline. Greater perceived helpfulness was associated with greater television reduction. CONCLUSION: Clinic-based motivational interviewing reduces television viewing in children. Low cost education approaches (e.g., printed materials) may be well-received. Parents of children at higher obesity risk could be more motivated to reduce television.

Obesity-related behaviors of US- and non-US-born parents and children in low-income households.

OBJECTIVE: To examine differences in obesity-related behaviors by parental US-born status among low-income, minority families participating in Healthy Habits, Happy Homes, an intervention trial to improve household routines for childhood obesity prevention. Evidence suggests lower obesity risk among adult immigrants, but research is inconclusive regarding the influence of having a non-US-born parent on childhood obesity. METHOD: We sampled 57 US-born and 64 non-US-born families of children aged 2 to 5.9 years living in the Boston area. At baseline, parents reported their own screen time, physical activity, diet, and sleep as well as their children's behaviors. We used linear and logistic regression to examine the association of parental US-born status with obesity-related behaviors. RESULTS: Mean (SD) body mass index z score was 0.94 (1.16), and it did not differ between the groups. After adjusting for parental education and child race/ethnicity, children of non-US-born (vs US-born) parents had later bedtimes (0.81 hours later; 95% confidence interval [CI], 0.37-1.25) and wake-up times (0.56 hours later; 95% CI, 0.16-0.95) and engaged in less active play (0.15 fewer hr/d; 95% CI, -0.28 to -0.01). Non-US-born (vs US-born) parents had less screen exposure. CONCLUSION: In this cross-section of low-income, urban families, having a parent born outside the United States was associated with a profile of risk and protective behavior; adjustment for education and race/ethnicity removed the protective associations of parental nativity with child behavior. Obesity-related differences in behaviors and home environments should be considered when designing interventions targeting low-income communities with a high proportion of non-US-born participants.