Weight loss interventions for adults with overweight/obesity and chronic musculoskeletal pain: a mixed methods systematic review.

Worldwide prevalence of adult overweight and obesity is a growing public health issue. Adults with overweight/obesity often have chronic musculoskeletal pain. Using a mixed-methods review, we aimed to quantify the effectiveness and explore the appropriateness of weight loss interventions for this population. Electronic databases were searched for studies published between 01/01/90 and 01/07/16. The review included 14 randomized controlled trials that reported weight and pain outcomes and three qualitative studies that explored perceptions of adults with co-existing overweight/obesity and chronic musculoskeletal pain. The random-effects pooled mean weight loss was 4.9 kg (95%CI:2.9,6.8) greater for intervention vs control. The pooled mean reduction in pain was 7.3/100 units (95%CI:4.1,10.5) greater for intervention vs control. Study heterogeneity was substantial for weight loss (I2  = 95%, tau = ±3.5 kg) and pain change (I2  = 67%, tau = ±4.1%). Meta-regression slopes for the predictors of study quality, mean age and baseline mean weight on mean study weight reduction were shallow and not statistically significant (P > 0.05). The meta-regression slope between mean pain reduction and mean weight lost was shallow, and not statistically significant, -0.09 kg per unit pain score change (95%CI:-0.21,0.40, P = 0.54). Meta-synthesis of qualitative findings resulted in two synthesized findings; the importance of healthcare professionals understanding the effects of pain on ability to control weight and developing management/education programmes that address comorbidity.

Development of the MapMe intervention body image scales of known weight status for 4-5 and 10-11 year old children.

Background: Parents tend to visually assess children to determine their weight status and typically underestimate child body size. A visual tool may aid parents to more accurately assess child weight status and so support strategies to reduce childhood overweight. Body image scales (BIS) are visual images of people ranging from underweight to overweight but none exist for children based on UK criteria. Our aim was to develop sex- and age-specific BIS for children, based on British growth reference (UK90) criteria. Methods: BIS were developed using 3D surface body scans of children, their associated weight status using UK90 criteria from height and weight measurements, and qualitative work with parents and health professionals. Results: Height, weight and 3D body scans were collected (211: 4-5 years; 177: 10-11 years). Overall, 12 qualitative sessions were held with 37 participants. Four BIS (4-5-year-old girls and boys, 10-11-year-old girls and boys) were developed. Conclusions: This study has created the first sex- and age-specific BIS, based on UK90 criteria. The BIS have potential for use in child overweight prevention and management strategies, and in future research. This study also provides a protocol for the development of further BIS appropriate to other age groups and ethnicities.

Exploring the evidence base for Tier 3 weight management interventions for adults: a systematic review.

Specialist weight management services provide a treatment option for severe obesity. The objective of the study is to review the characteristics, impact and practice implications of specialist weight management services for adults in the UK. Systematic review: EMBASE, MEDLINE and PsycINFO were searched from January 2005 to March 2016 with supplementary searches. Adults with a body mass index of ≥40 kg m-2 , or ≥35 kg m-2 with comorbidity or ≥30 kg m-2 with type 2 diabetes and any study of multicomponent interventions, in any UK or Ireland setting, delivered by a specialist multidisciplinary team are the inclusion criteria. Fourteen studies in a variety of settings were included: 1 randomized controlled trial, 3 controlled and 10 observational studies. Mean baseline body mass index and age ranged from 40 to 54 kg m-2 and from 40 to 58 years. The studies were heterogeneous making comparisons of service characteristics difficult. Multidisciplinary team composition and eligibility criteria varied; dropout rates were high (43-62%). Statistically significant reduction in mean body mass index over time ranged from -1.4 to -3.1 kg m-2 and mean weight changes ranged from -2.2 to -12.4 kg. Completers achieving at least 5% reduction of initial body weight ranged from 32 to 51%. There was evidence for improved outcomes in diabetics. Specialist weight management services can demonstrate clinically significant weight loss and have an important role in supporting adults to manage severe and often complex forms of obesity. This review highlights important variations in provision and strongly indicates the need for further research into effective approaches to support severely obese adults.

Predicting future weight status from measurements made in early childhood: a novel longitudinal approach applied to Millennium Cohort Study data.

BACKGROUND/OBJECTIVE: There are reports that childhood obesity tracks into later life. Nevertheless, some tracking statistics such as correlations do not quantify individual agreement, whereas others such as diagnostic test statistics can be difficult to translate into practice. We aimed to employ a novel analytic approach, based on ordinal logistic regression, to predict weight status of 11-year-old children from measurements at age 5 years. SUBJECTS/METHODS: The UK 1990 growth references were used to generate clinical weight status categories of 12 076 children enrolled in the Millennium Cohort Study. Using ordinal regression, we derived the predicted probability (percent chances) of 11-year-old children becoming underweight, normal weight, overweight, obese and severely obese from their weight status category at age 5 years. RESULTS: The chances of becoming obese (including severely obese) at age 11 years were 5.7% (95% confidence interval: 5.2 to 6.2%) for a normal-weight 5-year-old child and 32.3% (29.8 to 34.8%) for an overweight 5-year-old child. An obese 5-year-old child had a 68.1% (63.8 to 72.5%) chance of remaining obese at 11 years. Severely obese 5-year-old children had a 50.3% (43.1 to 57.4%) chance of remaining severely obese. There were no substantial differences between sexes. Nondeprived obese 5-year-old boys had a lower probability of remaining obese than deprived obese boys: -21.8% (-40.4 to -3.2%). This association was not observed in obese 5-year-old girls, in whom the nondeprived group had a probability of remaining obese 7% higher (-15.2 to 29.2%). The sex difference in this interaction of deprivation and baseline weight status was therefore -28.8% (-59.3 to 1.6%). CONCLUSIONS: We have demonstrated that ordinal logistic regression can be an informative approach to predict the chances of a child changing to, or from, an unhealthy weight status. This approach is easy to interpret and could be applied to any longitudinal data set with an ordinal outcome.

Systematic review of the use of data from national childhood obesity surveillance programmes in primary care: a conceptual synthesis.

This study reviewed the use in primary care of national surveillance data for children to determine the data's potential utility to inform policy and practice decisions on how to prevent and treat childhood obesity. We reviewed the 28 countries identified by the World Obesity Federation as having high-quality comparable body mass index data for children. Literature published from any period up to December 2013 was included. Peer review literature was searched using Web of Science (Core Collection, MEDLINE). Grey literature was searched using the Internet by country name, programme name and national health and government websites. We included studies that (i) use national surveillance obesity data in primary care, or (ii) explore practitioner or parent perspectives about the use of such data. The main uses of national surveillance data in primary care were to identify and recruit obese children and their parents to participate in school and general practice-based research and/or interventions, and to inform families of children's measurements. Findings indicate a need for school staff and practitioners to receive additional training and support to sensitively communicate with families. Translation of these findings into policy and practice could help to improve current uses of national child obesity surveillance data in primary care.

Technology-based dietary assessment: development of the Synchronised Nutrition and Activity Program (SNAP).

BACKGROUND: Accurate, reliable and feasible methods of dietary intake and physical activity assessment are required to improve our understanding of the associations between energy balance-related behaviours and health. METHODS: The Synchronised Nutrition and Activity Program (SNAP) was developed to enhance recall in children by integrating new and established methods of dietary intake and physical activity recall. A list of commonly consumed foods (n = 40), drinks (n = 9) and physical activities (n = 29) was used in SNAP. All foods and drinks were analysed by count (i.e., the number of times a particular food was selected), as a proxy indicator of dietary behaviours. All reported physical activities were assigned an intensity code [in metabolic equivalents (METs)] to determine minutes of moderate-vigorous activity (MVPA; ≥3 METs). RESULTS: Most participants completed a whole day's recall (both dietary intake and physical activities) in less than 25 min. SNAP was compared against 24-h multiple pass questionnaire and accelerometry in 121 children (aged 7-15 years old). For dietary variables, the accuracy of SNAP(™) (mean difference) was within ±1 count for the majority of food groups. The proportion of the sample with a between-method agreement within ±1 count ranged from 0.40 to 0.99. For MVPA, there was no substantial fixed or proportional bias, with a mean difference between methods (SNAP) - accelerometry) of -9 min of MVPA. Qualitatively, participants have indicated that they find SNAP easy and fun to use. CONCLUSIONS: SNAP was developed to be a simple, quick and engaging method of assessing energy balance-related behaviours at a group or population level and succeeded because it can collect a whole day's recall (dietary intake and physical activities) in less than 25 min to a reasonable and acceptable degree of accuracy.

Community-based service provision for the prevention and management of maternal obesity in the North East of England: a qualitative study.

OBJECTIVES: This study was conducted to develop a better understanding of community-based initiatives relating to maternal obesity, and to gain community service providers' views on maternal obesity services and their perceived role in the management and prevention of maternal obesity. STUDY DESIGN: An interpretive constructionist approach using semi-structured interviews and focus groups. METHODS: Semi-structured interviews and focus groups were carried out with community service providers in the North East of England, UK. Data were analysed using thematic content analysis. RESULTS: Five dominant themes emerged: community-based obesity services, understanding maternal obesity services, participation in maternal obesity services, challenges in the development of community maternal obesity services, and factors contributing to successful maternal obesity services. Community service providers identified their role in tackling maternal obesity alongside maternity services. Participants identified a lack of community maternal obesity services, distinct training requirements, and felt that a multi-agency approach was likely to be required. CONCLUSIONS: Increasing rates of maternal obesity and the relationship between maternal obesity and childhood obesity mean that the preconception, pregnancy and postnatal periods are important and timely stages in the life course for public health intervention. However, current public health and community service provision lacks structured maternal obesity objectives.

Public health genomics: the interface with public health intelligence and the role of public health observatories.

BACKGROUND: Public health genomics is a new field that brings the findings of research in genetic and molecular technologies together with public health. The purpose of this paper is to examine the interface between this new emerging field and that of public health intelligence. We describe the possible areas of integration between genomics and public health, suggesting a future potential role for the Public Health Observatories. METHODS: A small group comprising of a public health geneticist and representatives from Public Health Observatories met and discussed the ways in which the public health information and intelligence community might contribute to the developing agenda of public health genomics. RESULTS: The results of the deliberations are presented in this paper, and a combination of short, medium and longer term possibilities are described. Also, necessary changes and additions to routinely collected data are proposed. CONCLUSIONS: The emerging field of public health genomics has implications for the collection, management and analysis of routine data. The benefits of this will accrue over time, but changes need to be made now in order to make the best use of these developments. A possible supporting action plan for the development of public health genomics within Public Health Observatories is proposed.

The impact of maternal BMI status on pregnancy outcomes with immediate short-term obstetric resource implications: a meta-analysis.

Obesity is rising in the obstetric population, yet there is an absence of services and guidance for the management of maternal obesity. This systematic review aimed to investigate relationships between obesity and impact on obstetric care. Literature was systematically searched for cohort studies of pregnant women with anthropometric measurements recorded within 16-weeks gestation, followed up for the term of the pregnancy, with at least one obese and one comparison group. Two researchers independently data-extracted and quality-assessed each included study. Outcome measures were those that directly or indirectly impacted on maternity resources. Primary outcomes included instrumental delivery, caesarean delivery, duration of hospital stay, neonatal intensive care, neonatal trauma, haemorrhage, infection and 3rd/4th degree tears. Meta-analysis shows a significant relationship between obesity and increased odds of caesarean and instrumental deliveries, haemorrhage, infection, longer duration of hospital stay and increased neonatal intensive care requirement. Maternal obesity significantly contributes to a poorer prognosis for mother and baby during delivery and in the immediate post-partum period. National clinical guidelines for management of obese pregnant women, and public health interventions to help safeguard the health of mothers and their babies are urgently required.

Trends in maternal obesity incidence rates, demographic predictors, and health inequalities in 36,821 women over a 15-year period.

OBJECTIVE: The aim of this study was to identify trends in maternal obesity incidence over time and to identify those women most at risk and potential-associated health inequalities. DESIGN: Longitudinal database study. SETTING: James Cook University Hospital maternity unit, Middlesbrough, UK. SAMPLE: A total of 36 821 women from 1 January 1990 to 31 December 2004. METHODS: Trends in maternal obesity incidence over time were analysed using chi-square test for trend. Demographic predictor variables were analysed using multivariate logistic regression, adjusting for confounding factors after testing for multicollinearity. National census data were used to place the regional data into the context of the general population. MAIN OUTCOME MEASURE: Trends in maternal obesity incidence. Demographic predictor variables included ethnic group, age, parity, marital status, employment and socio-economic disadvantage. RESULTS: The proportion of obese women at the start of pregnancy has increased significantly over time from 9.9 to 16.0% (P<0.01). This is best described by a quadratic model (P<0.01) showing that the rate is accelerating; by 2010, the rate will have increased to 22% of this population if the trend continues. There is also a significant relationship with maternal obesity and mothers' residing in areas of most deprivation (odds ratio [OR]=2.44, 95% CI=1.98, 3.02, P<0.01), with increasing age (OR=1.04, 95% CI=1.04, 1.05, P<0.01), and parity (OR=1.17, 95% CI=1.12, 1.21, P<0.01). CONCLUSIONS: The incidence of maternal obesity at the start of pregnancy is increasing and accelerating. Predictors of maternal obesity are associated with health inequalities, particularly socio-economic disadvantage.

Obesity and disability - a short review.

The prevalence of both obesity and disability is increasing globally and there is now growing evidence to suggest that these two health priorities may be linked. This paper explores the evidence linking obesity to muscular-skeletal conditions, mental health disorders and learning disabilities in both adult and child populations. The impact of obesity on the four most prevalent disabling conditions in the UK (arthritis, mental health disorders, learning disabilities and back ailments) has been examined through novel data analysis of the 2001 Health Survey for England and UK Back Exercise And Manipulation trial data. Together these analyses strongly suggest that whether the cause or result of disability, obesity is undeniably implicated, thus presenting a serious public health priority. Future research efforts are required to strengthen the evidence base examining obesity in back disorders, mental health and learning disabilities, in order to improve current clinical management.

Independent associations between weight status and disability in adults: results from the Health Survey for England.

OBJECTIVES: While direct links between obesity and some illnesses are well-established, there is a relative paucity of research on associations between obesity and disabilities. The aim of this study was to test for significant associations between overweight and obesity and the presence of a wide range of disabling conditions in adults, controlling for sex, age, education, social class, income, cigarette smoking status and alcohol consumption. STUDY DESIGN: Data were extracted from the Health Survey for England (2001); a cross-sectional survey of the community-dwelling population. In total, 8613 adult participants were included in the analysis. METHODS: Multivariate logistic regression was employed to test whether the odds of having a range of disabling conditions are higher in the overweight and obese populations compared with those in the ideal weight range. RESULTS: The risk of nearly all disabling conditions tested was elevated in the obese and morbidly obese groups. Of great importance for public health, the risks of musculoskeletal illness, arthritis and rheumatism, and personal care disability were significantly elevated, even in those in the overweight category (currently about half of the adult population living in the UK). CONCLUSIONS: Obesity is independently associated with a range of disabling conditions in adults. The present study highlights the need for further research into the mechanisms by which these associations occur.