Systematic literature review and meta-analysis of the efficacy and safety of prescription opioids, including abuse-deterrent formulations, in non-cancer pain management.

OBJECTIVE: This study was conducted to compare safety and efficacy outcomes between opioids formulated with technologies designed to deter or resist tampering (i.e., abuse-deterrent formulations [ADFs]) and non-ADFs for commonly prescribed opioids for treatment of non-cancer pain in adults. METHODS: PubMed and Cochrane Library databases were searched for opioid publications between September 1, 2001 and August 31, 2011, and pivotal clinical trials from all years; abstracts from key pain conferences (2010-2011) were also reviewed. One hundred and ninety-one publications were initially identified, 68 of which met eligibility criteria and were systematically reviewed; a subset of 16 involved a placebo group (13 non-ADFs vs placebo, 3 ADFs vs placebo) and reported both efficacy and safety outcomes, and were included for a meta-analysis. Summary estimates of standardized difference in mean change of pain intensity (DMCPI), standardized difference in sum of pain intensity difference (DSPID), and odds ratios (ORs) of each adverse event (AE) were computed through random-effects estimates for ADFs (and non-ADFs) vs placebo. Indirect treatment comparisons were conducted to compare ADFs and non-ADFs. RESULTS: Summary estimates for standardized DMCPI and for standardized DSPID indicated that ADFs and non-ADFs showed significantly greater efficacy than placebo in reducing pain intensity. Indirect analyses assessing the efficacy outcomes between ADFs and non-ADFs indicated that they were not significantly different (standardized DMCPI [0.39 {95% confidence interval (CI) 0.00-0.76}]; standardized DSPID [-0.22 {95% CI -0.74 to 0.30}]). ADFs and non-ADFs both were associated with higher odds of AEs than placebo. Odds ratios from indirect analyses comparing AEs for ADFs vs non-ADFs were not significant (nausea, 0.87 [0.24-3.12]; vomiting, 1.54 [0.40-5.97]; dizziness/vertigo, 0.61 [0.21-1.76]; headache, 1.42 [0.57-3.53]; somnolence/drowsiness, 0.47 [0.09-2.58]; constipation, 0.64 [0.28-1.49]; pruritus 0.41 [0.05-3.51]). CONCLUSION: ADFs and non-ADFs had comparable efficacy and safety profiles, while both were more efficacious than placebo in reducing pain intensity.

Prevalence of diagnosed opioid abuse and its economic burden in the veterans health administration.

OBJECTIVE: Evaluate prevalence and risk-adjusted healthcare costs of diagnosed opioid abuse in the national Veterans Health Administration (VHA). Costs were compared between patients with and without diagnosed opioid abuse. DESIGN: Medical and pharmacy claims analysis of VHA data (10/01/2006 to 09/30/2010) were retrospectively analyzed. Prevalence was calculated as the percent of patients with diagnosed opioid abuse for the entire VHA membership and those with noncancer pain diagnoses, compared between patients prescribed opioids prior to abuse diagnosis and those not prescribed opioids through the VHA system. Healthcare utilization and costs were estimated using matching techniques and generalized linear models to control for clinical and demographic differences between patients with and without diagnosed opioid abuse. Separate comparisons were made (with diagnosed abuse vs. without) for each cohort: patients with/without opioid prescriptions. RESULTS: Five-year diagnosed opioid abuse was 1.11%. Among patients prescribed opioids, 5-year abuse prevalence was 3.04%. Pain patients prescribed opioids had the highest abuse rate at 3.26%. Adjusted annual healthcare costs for diagnosed opioid abuse patients were higher than for those without diagnosed abuse, (prescribed opioids overall healthcare costs: $28,882, with diagnosed abuse vs. $13,605 for those without; not prescribed opioids: $25,197 vs. $6350, P-value< 0.0001; opioid-specific healthcare costs for patients prescribed opioids: $8956 vs. $218; patients not prescribed opioids: $8733 vs. $20). CONCLUSIONS: Diagnosed opioid abuse prevalence is almost 7-fold higher in the veteran's administration population than in commercial health plans and translates to a significant economic burden. Appropriate interventions should be considered to prevent and reduce opioid abuse.

Differences in healthcare utilization and associated costs between patients prescribed vs. nonprescribed opioids during an inpatient or emergency department visit.

OBJECTIVES: Compare healthcare resource utilization (HCRU) and costs between patients prescribed opioids (RxOP) and those who were not (NoRxOP) during an emergency department (ED) or inpatient visit. METHODS: Retrospective cohort analysis was performed (January 2006 to September 2010). Continuously eligible RxOP patients in ED/inpatient settings (January 2007 to September 2009) were included if age was ≥ 12 years by initial prescription date (or random date between first ED/inpatient admission and September 30, 2009 [NoRxOP patients]). Healthcare resource utilization and costs for 12 months after initial prescription were compared. Univariate descriptive analyses were performed for baseline and outcome variables and compared using appropriate tests. Risk adjustment compared HCRU between RxOP and NoRxOP cohorts for the postindex period. RESULTS: Of 27,599 eligible patients, RxOP patients (n = 18,819) were younger, less likely to be male, more likely to reside in southern United States and to have Preferred Provider Organization health plans, and had lower comorbidity index scores, compared with NoRxOP patients (n = 8,780). RxOP patients were less likely to have nonpain-related comorbidities and more frequently diagnosed with pain-related comorbidities. Unmatched and propensity-matched RxOP patients experienced higher HCRU and costs in all subcategories (total, inpatient, outpatient ED, physician, pharmacy, other outpatient settings). Opioid abuse frequency was low in patients with common diagnoses/procedures within 3 months before initial prescription (0.48%). Average time to abuse was < 1 year (201 days). CONCLUSION: Most patients were prescribed opioids initially during ED/inpatient visits and incurred higher HCRU than those not prescribed opioids. Among those with diagnosed opioid abuse after initiating opioids, time to diagnosis was rapid (range: 14 to 260 days) for patients with common diseases and procedures.

The prevalence of diagnosed opioid abuse in commercial and Medicare managed care populations.

PURPOSE: To measure the prevalence of diagnosed opioid abuse and prescription opioid use in a multistate managed care organization. METHODS: This retrospective claims data analysis reviewed the prevalence of diagnosed opioid abuse and the parallel prevalence of prescription opioid use in half-year intervals for commercial and Medicare members enrolled with Humana Inc., from January 1, 2008 to June 30, 2010. Diagnosis of opioid abuse was defined by ≥ 1 medical claim with any of the following ICD-9-CM codes: 304.0 ×, 304.7 ×, 305.5 ×, 965.0 ×, excluding 965.01, and opioid use was defined by ≥ 1 filled prescription for an opioid. The prevalence of opioid abuse was defined by the number of members with an opioid abuse diagnosis, divided by the number of members enrolled in each 6-month interval. RESULTS: The 6-month prevalence of diagnosed opioid abuse increased from 0.84 to 1.15 among commercial and from 3.17 to 6.35 among Medicare members, per 1,000. In contrast, there was no marked increase in prescription opioid use during the same time period (118.0 to 114.8 for commercial members, 240.6 to 256.9 for Medicare members, per 1,000). The prevalence of diagnosed opioid abuse was highest among members younger than 65 years for both genders in commercial (18- to 34-year-olds) and Medicare (35- to 54-year-olds) populations. CONCLUSIONS: Despite a stable rate of prescription opioid use among the observed population, the prevalence of diagnosed opioid abuse is increasing, particularly in the Medicare population.

Cost drivers of prescription opioid abuse in commercial and Medicare populations.

OBJECTIVE: Growth in the number of patients with pain conditions, and the subsequent rise in prescription opioid use for treatment, has been accompanied by an increase in diagnosed opioid abuse. Understanding what drives the incremental healthcare costs of members diagnosed with prescription opioid abuse may assist in developing better screening techniques for abuse. DESIGN: This retrospective analysis examined costs, resource use, and comorbidities 365 days pre- and postdiagnosis in prescription opioid users diagnosed with abuse (cases) vs. their matched nondiagnosed controls. Inclusion criteria for cases were diagnosis of opioid abuse (ICD-9-CM: 304.0x, 304.7x, 305.5x, 965.0x). Multivariate analysis used generalized linear modeling with log-transformed cost as dependent variable, controlling for comorbidities. RESULTS: Final sample sizes were 8,390 cases and 16,780 matched controls. Postindex abuse-related costs were $2,099 for commercial members, $539 for Medicare members aged < 65, and $170 for Medicare members aged ≥ 65. A higher percentage of cases had pain conditions (82.0% vs. 57.4% commercial, 95.9% vs. 87.5% Medicare members aged < 65, 92.9% vs. 82.4% Medicare members aged ≥ 65, P < 0.0001), and a higher numbers of cases had multiple opioid prescribers (3.7 vs. 1.4 commercial, 3.3 vs. 2.2 Medicare < 65, 2.2 vs. 1.6 Medicare ≥ 65, P < 0.0001) than controls preindex. Cases had higher rates of substance abuse and psychiatric diagnoses pre- and postindex (P < 0.0001, all comparisons). Adjusted costs were 28% higher for cases than for controls (P < 0.0001). CONCLUSION: Costs of members diagnosed with prescription opioid abuse are driven by higher pain and psychiatric comorbidities relative to nonabuse controls.

Pain conditions ranked by healthcare costs for members of a national health plan.

Healthcare resource utilization (HCRU) and associated costs specific to pain are a growing concern, as increasing dollar amounts are spent on pain-related conditions. Understanding which pain conditions drive the highest utilization and cost burden to the healthcare system would enable providers and payers to better target conditions to manage pain adequately and efficiently. The current study focused on 36 noncancer chronic and 14 noncancer acute pain conditions and measured the HCRU and costs per member over 365 days. These conditions were ranked by per-member costs and total adjusted healthcare costs to determine the most expensive conditions to a national health plan. The top 5 conditions for the commercial line of business were back pain, osteoarthritis (OA), childbirth, injuries, and non-hip, non-spine fractures (adjusted annual total costs for the commercial members were $119 million, $98 million, $69 million, $61 million, and $48 million, respectively). The top 5 conditions for Medicare members were OA, back pain, hip fractures, injuries, and non-hip, non-spine fractures (adjusted annual costs for the Medicare members were $327 million, $218 million, $117 million, $82 million, and $67 million, respectively). The conditions ranked highest for both per-member and total healthcare costs were hip fractures, childbirth, and non-hip, non-spine fractures. Among these, hip fractures in the Medicare member population had the highest mean cost per member (adjusted per-member cost was $21,058). Further examination specific to how pain is managed in these high-cost conditions will enable providers and payers to develop strategies to improve patient outcomes through appropriate pain management.

Pacific patients' reasons for attending the emergency department of Counties Manukau for non-urgent conditions.

AIM: To determine Pacific patients' reasons for Emergency Department (ED) use for non-urgent conditions by Pacific people at Counties Manukau Health. METHODS: Patients who self-presented to Counties Manukau ED with a non-urgent condition in June 2019 were surveyed. Responses to open-ended questions were analysed using a general inductive approach, in discussion with key stakeholders. RESULTS: Of 353 participants with ethnicity reported, 139 (39%) were Pacific, 66 (19%) Maori and 148 (42%) were non-Maori non-Pacific, nMnP. A total of 58 (42%) of Pacific participants had been to their general practitioner prior to presenting to the ED; this proportion was similar for Maori (19 [30%]) and nMnP (59 [40%]) (p=0.215). The most common reasons for ED attendance among Pacific (as well as other) participants were 1) advice by a health professional (41%, 95% CI 33-50%), 2) usual care unavailable (28%, 20-36%), 3) symptoms not improving (21%, 14-28%), and 4) symptoms too severe to be managed elsewhere (19%, 12-26%). CONCLUSIONS: Multiple reasons underlie non-urgent use of EDs by Pacific and other ethnic groups. These reasons need to be considered simultaneously in the design, implementation, and evaluation of multi-dimensional initiatives that discourage non-urgent use of EDs to ensure that such initiatives are effective, equitable, and unintended consequences are avoided.

The environment and physical activity: The influence of psychosocial, perceived and built environmental factors.

UNLABELLED: : This study sought to integrate perceived and built environmental and individual factors into the Theory of Planned Behavior (TPB) model to better understand adolescents' physical activity. METHODS: Participants (n = 110) aged 12 to 17 years (M = 14.6 +/- 1.55) were recruited from two large metropolitan high schools in Auckland, New Zealand, were included in the analysis. Participants completed measures of the revised TPB and the perceived environment. Individual factors such as ethnicity and level of deprivation were also collected. Geographical Information Systems (GIS) software was used to measure the physical environment (walkability, access to physical activity facilities). Physical activity was assessed using the ActiGraph accelerometer and the Physical Activity Questionnaire for Adolescents (PAQ-A). Data from the various sources were combined to develop an integrated model integrated for statistical analysis using structural equation modeling. RESULTS: The TPB model variables (intention and perceived behavioral control) explained 43% of the variance of PAQ-A. Unique and individual contributions were made by intention and PBC and home ownership of home equipment. The model explained 13% of time spent in moderate and vigorous physical activity (Actigraph). Unique and individual contribution was made by intention. CONCLUSION: Social cognitive variables were better predictors of both subjective and objective physical activity compared to perceived environmental and built environment factors. Implications of these findings are discussed.

Feasibility, design and conduct of a pragmatic randomized controlled trial to reduce overweight and obesity in children: The electronic games to aid motivation to exercise (eGAME) study.

BACKGROUND: Childhood obesity has reached epidemic proportions in developed countries. Sedentary screen-based activities such as video gaming are thought to displace active behaviors and are independently associated with obesity. Active video games, where players physically interact with images onscreen, may have utility as a novel intervention to increase physical activity and improve body composition in children. The aim of the Electronic Games to Aid Motivation to Exercise (eGAME) study is to determine the effects of an active video game intervention over 6 months on: body mass index (BMI), percent body fat, waist circumference, cardio-respiratory fitness, and physical activity levels in overweight children. METHODS/DESIGN: Three hundred and thirty participants aged 10-14 years will be randomized to receive either an active video game upgrade package or to a control group (no intervention). DISCUSSION: An overview of the eGAME study is presented, providing an example of a large, pragmatic randomized controlled trial in a community setting. Reflection is offered on key issues encountered during the course of the study. In particular, investigation into the feasibility of the proposed intervention, as well as robust testing of proposed study procedures is a critical step prior to implementation of a large-scale trial.

Systematic review on quality control for drug management programs: is quality reported in the literature?

BACKGROUND: Maintaining quality of care while managing limited healthcare resources is an ongoing challenge in healthcare. The objective of this study was to evaluate how the impact of drug management programs is reported in the literature and to identify potentially existing quality standards. METHODS: This analysis relates to the published research on the impact of drug management on economic, clinical, or humanistic outcomes in managed care, indemnity insurance, VA, or Medicaid in the USA published between 1996 and 2007. Included articles were systematically analyzed for study objective, study endpoints, and drug management type. They were further categorized by drug management tool, primary objective, and study endpoints. RESULTS: None of the 76 included publications assessed the overall quality of drug management tools. The impact of 9 different drug management tools used alone or in combination was studied in pharmacy claims, medical claims, electronic medical records or survey data from either patient, plan or provider perspective using an average of 2.1 of 11 possible endpoints. A total of 68% of the studies reported the impact on plan focused endpoints, while the clinical, the patient or the provider perspective were studied to a much lower degree (45%, 42% and 12% of the studies). Health outcomes were only accounted for in 9.2% of the studies. CONCLUSION: Comprehensive assessment of quality considering plan, patient and clinical outcomes is not yet applied. There is no defined quality standard. Benchmarks including health outcomes should be determined and used to improve the overall clinical and economic effectiveness of drug management programs.

Effect of smoking cessation advice on cardiovascular disease.

Performance measures and guidelines encourage physicians to advise smokers to quit. The effect of these efforts on the morbidity, mortality, and cost of cardiovascular disease is not known. This article analyzes the effects of offering smoking cessation advice in the US population. The Archimedes model is used to simulate several clinical trials in which basic advice and medication advice are offered and to calculate the rates of myocardial infarctions, congestive heart disease deaths, strokes, life years, quality-adjusted life years (QALYs), costs, and cost/ QALY. The simulated population is a representative sample of the US population drawn from the Third National Health and Nutrition Survey conducted just before the performance measures and guidelines were introduced. The results show that offering basic advice and medication advice can prevent about 13% and 19% of myocardial infarctions and strokes, respectively. The 30-year cost/QALY is approximately $3000 less than the base-case assumptions and less than $10 000 under pessimistic assumptions.

Self-reported physical activity levels during a segmented school day in a large multiethnic sample of high school students.

The school day provides youth several opportunistic time periods to be active. How active youth are during these time periods or whether they engage in physical activity across multiple time periods is not well established. A cross-sectional sample of 12-18-year-old students (n=3471) were recruited from low socioeconomic status high schools within South Auckland, New Zealand. Participants reported their physical activity during lunchtime, morning recess, and after school, as well as their level of active transportation to and from school. For each physical activity opportunity participants were dichotomised as being either "more active" or "less active". Height, weight, and waist circumference measurements were also collected for each participant. Data were analysed using binary logistic regression to understand demographic associations and with kappa coefficient calculations to examine level of association in participation levels between different time periods. The percentage of students considered 'more active' depended on the physical activity variable of interest (after-school, 56.3%; active transportation, 58.1%; morning recess, 26.4%; lunchtime recess, 32.4%). Only 11.1% of participants were classified as 'more active' across all four physical activity opportunities. Substantial agreement (kappa=.68) was only observed in participation levels at lunchtime and morning recess. At-risk groups for lower physical activity were female students, senior students, and students of Asian/Other descent. During a school day multiple opportunistic time periods exist for youth to be active, yet a large proportion of students are not as active as they could be with few youth engaging in physical activity across various segments of the school day.

Relationships between frequency of family meals, BMI and nutritional aspects of the home food environment among New Zealand adolescents.

BACKGROUND: Previous research has documented the positive effects of family meals on the dietary quality of adolescents. The objective of the current study is to examine associations between frequency of family meals and body mass index (BMI), other aspects of the home food environment, and related nutrition behaviors. METHODS: Data were collected during baseline measurements of the Pacific Obesity Prevention In Communities study. In total, 3245 ethnically diverse students completed a questionnaire about their nutrition behaviors and were weighed and measured for height. RESULTS: In total, 42% of adolescents ate a family meal on all of the previous five school nights. Frequency of family meals was modestly associated with BMI in bivariate analysis (p = 0.045), but lost significance when demographic characteristics were included in the model. Frequency of family meals was associated with many positive aspects of home food environment and positive nutrition behaviors, including parental support for healthy eating, limits on television use, having fruit available at home, consuming five fruits and vegetables a day, eating breakfast, and bringing lunch from home. Surprisingly, no relationships were observed between frequency of family meals and accessibility and consumption of many high fat/high sugar foods. CONCLUSION: Our findings suggest that the positive effect of family meals may reflect an overall positive home food environment. Families who have meals together have more healthful foods available at home and support their child in eating healthfully. There were no relationships between family meals and high fat/high sugar foods; this suggest that while families may prioritize eating together, messages about limiting the availability and consumption of these snack foods are not getting through.

Mental-physical comorbidity in an ethnically diverse population.

The relationship between mental disorders and chronic physical conditions is well established, but the possibility of ethnic group differences in mental-physical associations has seldom been investigated. This study investigated ethnic differences in associations between four physical conditions (chronic pain, cardiovascular disease, diabetes, and respiratory disease) and 12-month mood and anxiety disorders. A nationally representative face-to-face household survey was carried out in New Zealand from 2003 to 2004 with 12,992 participants aged 16 and older, achieving a response rate of 73.3%. The current study is of the subsample of 7,435 participants who were assessed for chronic physical conditions (via a standard checklist), and compares Maori, Pacific and Other New Zealanders. DSM-IV mental disorders were measured with the Composite International Diagnostic Interview (CIDI 3.0). The ethnic groups differed significantly in prevalences of both physical and mental disorders, but almost no ethnic differences in mental-physical associations were found. Independent of ethnicity, associations were observed between chronic pain and mood and anxiety disorders, cardiovascular disease and anxiety disorders, respiratory disease and mood and anxiety disorders. Despite differences in mental and physical health status between ethnic groups in New Zealand, mental-physical disorder associations occur with considerable consistency across the groups. These results suggest that whatever factors are conducive to the development of a mental disorder from a physical disorder (or vice versa), they are either unaffected by the cultural differences manifest in these ethnic groups, or, any cultural factors operating serve to both increase and decrease comorbidity such that they cancel each other out.

Dietary intakes of European, Maori, Pacific and Asian adults living in Auckland: the Diabetes, Heart and Health Study.

OBJECTIVE: To compare dietary intakes of European, Maori, Pacific, and Asian men and women living in Auckland. METHODS: Daily nutrient intakes were calculated from a self-administered food frequency questionnaire from participants in a cross-sectional health screening study carried out between 2002 and 2003. Participants were 4,007 Maori, Pacific, Asian and European people (1,915 men, 2,092 women) aged 35 to 74 years. RESULTS: Compared with Europeans, Maori and Pacific men had higher total energy intakes per day, while Asians had lower intakes. A similar pattern was observed for carbohydrate and fat consumption. While protein and cholesterol consumption tended to be lower in Europeans than the other three ethnic groups, alcohol consumption and calcium intakes were highest among Europeans. Many of the differences between ethnic groups were attenuated when nutrient consumption was expressed as their percentage contribution to total energy intake suggesting that total food consumption was the major determinant of ethnic differences in nutrient intakes. CONCLUSIONS: There were substantial differences in dietary habits, food selections and cooking practices between European, Maori, Pacific and Asian participants. However, the observed differences were in the area of serving sizes and frequency of consumption of certain foods than to major differences in the range of foods and nutrients consumed or the percentage contribution of carbohydrate, fat or protein to total energy intake. IMPLICATIONS: The development of strategies to reduce serving sizes and the frequency of consumption of certain foods will be required to help address the major nutrition-related health problems in New Zealand.

What effect do attempts to lose weight have on the observed relationship between nutrition behaviors and body mass index among adolescents?

BACKGROUND: Little research has given consideration to how people's weight control behaviors may moderate the relationships between nutrition and body mass index (BMI) in large cross-sectional studies. The objective of the current study is to determine how attempts to lose weight confound the relationships between nutrition behaviors and BMI among a population of predominately overweight adolescents. METHODS: Data were drawn from the baseline measurements of the Pacific OPIC (Obesity Prevention In Communities). Participants included approximately 3500 high school students in New Zealand. Students in the sample primarily identified as a Pacific Island ethnicity (57%) and the mean age for participants was 14.8 years. Participants completed a questionnaire about nutrition and physical activity patterns and were weighed and measured for height. RESULTS: In our sample, 57% of students were overweight/obese, with the highest prevalence among Pacific Island students (71%). Approximately 50% of students were currently trying to lose weight, and this was more common among females, Pacific Island students and overweight/obese students. Examination of the nutritional correlates of BMI in the total population found inverse relationships between BMI and consumption of high-fat/high-sugar foods and positive relationships between BMI and eating 5 or more fruits and vegetables a day (all significant after controlling for age, sex, and ethnicity). For example, students who drank the most soft drinks or ate fruit and vegetables infrequently had the lowest mean BMI. Students' attempts to change their weight significantly moderated the relationships between most nutritional behaviors and BMI. In most cases, among students not trying to change their weight, expected relationships were observed; among students trying to lose weight, unexpected or no relationships were observed. CONCLUSION: Our findings suggest that among this population of predominately overweight students, solely relying on cross-sectional findings between nutrition behaviours and BMI would misinform intervention strategies. It appears that many students are already taking appropriate steps to reduce their weight. Intervention efforts should now move beyond education-based strategies to environmental changes that support students in adopting healthier nutrition practices.

Social support for youth physical activity: Importance of siblings, parents, friends and school support across a segmented school day.

BACKGROUND: Whilst evidence exists for the influence of encouragement on physical activity participation, the diversity of support sources and the type of physical activity examined previously is limited. This study examined the importance of perceived encouragement from parents, siblings/cousins, friends, and schools on participation levels across three time-specific activity opportunities that are available during a school day (after-school physical activities, lunchtime activity, and active transportation to and from school). METHODS: A cross-sectional sample of 12-18 year old high school students (n = 3,471) were recruited from low SES schools within South Auckland, New Zealand and categorised as either Junior (Years 9-11) or Senior (Years 12 & 13) students. Participants reported their physical activity levels and quantity of encouragement received from their parent(s), friend(s), sibling(s)/cousin(s), and school to be active. For each physical activity variable participants were dichotomized as being either "active" or "less active". For each social support source, participants were grouped into either receiving "high" or "low" levels of support. Binary logistic regression analyzes were conducted to calculate odd ratios and 95% confidence intervals. RESULTS: Low parental support (Juniors, OR: 0.47, 95% CI: 0.38-0.58; Seniors, OR: 0.41, 95% CI: 0.29-0.60) and low peer support (Juniors, OR: 0.61, 95% CI: 0.51-0.74; Seniors, OR: 0.49, 95% CI: 0.35-0.69) were associated with reduced odds of being regularly active after school. For lunchtime activity, low peer support (Juniors, OR: 0.39, 95% CI: 0.32-0.48; Seniors, OR: 0.41, 95% CI: 0.29-0.57) was associated with reduced odds of being categorized as active. While no variables were significantly related to active transportation among senior students, low peer support was associated with reduced odds of actively commuting for Junior students (OR: 0.78, 95% CI: 0.66-0.92). Irrespective of the activity examined, no significant difference was noted for students receiving high support from two parents than students reporting high support from their sole parent in a single parent family. CONCLUSION: The importance of encouragement from parents, siblings, friends, and schools on physical activity is dependant on the time-specific activity examined. It is clear that proximal social networks need to be considered during the development of physical activity promotion strategies.

At-home breakfast consumption among New Zealand children: associations with body mass index and related nutrition behaviors.

OBJECTIVE: The evidence supporting the relationship between breakfast consumption and body weight is growing, but the mechanisms to explain this relationship are less understood. This study aims to describe the relationship between breakfast consumption and body mass index (BMI) and relevant nutrition behaviors. DESIGN: Cross-section design using the New Zealand's 2002 National Children's Nutrition Survey. Participants were interviewed about their food habits and physical activity, completed a food frequency questionnaire, and were weighed and measured for height. SUBJECTS/SETTING: A nationally representative sample of 3,275 children aged 5 to 14 years. MAIN OUTCOME MEASURES: Breakfast consumption, BMI, and nutrition behaviors. STATISTICAL ANALYSES PERFORMED: The demographic characteristics of children by breakfast consumption were generated by cross-tabulations. Regression models were used to examine the relationships between breakfast consumption and BMI and nutrition behaviors. RESULTS: Breakfast consumption was most frequent among boys, children aged 5 to 6 years, children aged 7 to 10 years, New Zealand European children, and children from more affluent neighborhoods. Age differences in breakfast consumption increased with socioeconomic deprivation; older children experiencing the most socioeconomic deprivation were the least likely to eat breakfast. Skipping breakfast was associated with a higher BMI (P=0.002). Children who missed breakfast were significantly less likely to meet recommendations for fruit and vegetable consumption (P=0.005) and more likely to be frequent consumers of unhealthy snack foods. No relationship was found between breakfast consumption and physical activity. DISCUSSION: Results from our study suggest that efforts to increase breakfast consumption should be prioritized for older children from more deprived backgrounds. Increasing at home breakfast consumption may limit the amount of unhealthful snack foods children consume later in the day. Schools also have the potential to make a reasonable nutritional impact by providing healthful and affordable breakfast options for children who do not eat breakfast at home.

Nutrition and physical activity behaviours among Mäori, Pacific and NZ European children: identifying opportunities for population-based interventions.

OBJECTIVES: To describe how the prevalences of nutrition and physical activity behaviours vary by ethnicity, while controlling for other socio-demographic characteristics, and to identify appropriate points of intervention for defined ethnic populations of New Zealand children. METHODS: Secondary data analysis of the 2002 National Children's Nutrition Survey. RESULTS: Few ethnic differences were significant for fruit and vegetable consumption and indicators of physical activity. Where ethnic differences in physical activity were significant, Mäori children and Pacific children were more active than New Zealand European/Other (NZEO) children. Pacific children and, Mäori children were significantly more likely to skip meals than NZEO children. Pacific children and Mäori children were significantly more likely to buy some/most of the food they consumed at school from the tuckshop or dairy while NZEO children were more likely to bring their school food only from home. Likewise, Pacific children and Mäori children were significantly more likely to be high consumers of some fatty and sugary foods than NZEO children. CONCLUSIONS AND IMPLICATIONS: Meal skipping and purchasing food away from home were common for Mäori children and Pacific children; school-based programs that aim to improve access to and subsidise the price of healthy foods, including breakfast, could greatly benefit Mäori and Pacific students. Efforts to improve fruit and vegetable consumption and physical activity should be more universally applied and made culturally appropriate for all children.

Intracameral phenylephrine and ketorolac during cataract surgery to maintain intraoperative mydriasis and reduce postoperative ocular pain: Integrated results from 2 pivotal phase 3 studies.

PURPOSE: To evaluate the efficacy and safety of phenylephrine 1.0%-ketorolac 0.3% (Omidria) for maintenance of mydriasis during, and reduction of ocular pain after, cataract surgery. SETTING: Twenty centers in the United States and the Netherlands. DESIGN: Prospective randomized clinical trials. METHODS: Patients having cataract surgery or refractive lens exchange were enrolled in 2 clinical trials. Phenylephrine 1.0%-ketorolac 0.3% or placebo was added to irrigation solution and administered intracamerally during the procedure. Integrated analyses of primary and secondary endpoints were conducted. RESULTS: The clinical trials comprised 808 patients (403 treatment and 405 placebo). Phenylephrine 1.0%-ketorolac 0.3% was superior to placebo for the maintenance of mydriasis during, and reduction of ocular pain following, cataract surgery. The mean area under the curve (AUC) change from baseline in pupil diameter was 0.08 mm for treatment compared with -0.50 mm for placebo (P < .0001). The mean AUC of ocular pain visual analog scale scores within 12 hours postoperatively was 4.16 mm for the treatment group and 9.06 mm for the placebo group (P < .001). Results of all secondary efficacy analyses demonstrated a significant treatment effect associated with phenylephrine 1.0%-ketorolac 0.3%. Treatment-emergent adverse events were as expected for a population having cataract surgery; no clinically significant differences in safety measures were observed between treatment groups. CONCLUSION: In this integrated analysis, phenylephrine 1.0%-ketorolac 0.3% administered intracamerally with irrigation solution during cataract surgery was safe and effective for maintaining mydriasis during the procedure and reducing postoperative ocular pain. FINANCIAL DISCLOSURE: Dr. Schaaf is an employee and holds an equity interest in Omeros Corporation. Drs. Hovanesian, Sheppard, Trattler, Gayton, and Ng are consultants to Omeros Corporation. No other author has a financial or proprietary interest in any material or method mentioned.