Dataset Information

Capturing health and eating status through a nutritional perception screening questionnaire (NPSQ9) in a randomised internet-based personalised nutrition intervention: the Food4Me study.

ABSTRACT: National guidelines emphasize healthy eating to promote wellbeing and prevention of non-communicable diseases. The perceived healthiness of food is determined by many factors affecting food intake. A positive perception of healthy eating has been shown to be associated with greater diet quality. Internet-based methodologies allow contact with large populations. Our present study aims to design and evaluate a short nutritional perception questionnaire, to be used as a screening tool for assessing nutritional status, and to predict an optimal level of personalisation in nutritional advice delivered via the Internet.Data from all participants who were screened and then enrolled into the Food4Me proof-of-principle study (n?=?2369) were used to determine the optimal items for inclusion in a novel screening tool, the Nutritional Perception Screening Questionnaire-9 (NPSQ9). Exploratory and confirmatory factor analyses were performed on anthropometric and biochemical data and on dietary indices acquired from participants who had completed the Food4Me dietary intervention (n?=?1153). Baseline and intervention data were analysed using linear regression and linear mixed regression, respectively.A final model with 9 NPSQ items was validated against the dietary intervention data. NPSQ9 scores were inversely associated with BMI (??=?-0.181, p?

SUBMITTER: San-Cristobal R

PROVIDER: S-EPMC5725967 | biostudies-literature | 2017 Dec

REPOSITORIES: biostudies-literature

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Capturing health and eating status through a nutritional perception screening questionnaire (NPSQ9) in a randomised internet-based personalised nutrition intervention: the Food4Me study.

San-Cristobal Rodrigo R Navas-Carretero Santiago S Celis-Morales Carlos C Livingstone Katherine M KM Stewart-Knox Barbara B Rankin Audrey A Macready Anna L AL Fallaize Rosalind R O'Donovan Clare B CB Forster Hannah H Woolhead Clara C Walsh Marianne C MC Lambrinou Christina P CP Moschonis George G Manios Yannis Y Jarosz Miroslaw M Daniel Hannelore H Gibney Eileen R ER Brennan Lorraine L Gundersen Thomas E TE Drevon Christian A CA Gibney Mike M Marsaux Cyril F M CFM Saris Wim H M WHM Lovegrove Julie A JA Frewer Lynn J LJ Mathers John C JC Martinez J Alfredo JA

The international journal of behavioral nutrition and physical activity 20171211 1

<h4>Background</h4>National guidelines emphasize healthy eating to promote wellbeing and prevention of non-communicable diseases. The perceived healthiness of food is determined by many factors affecting food intake. A positive perception of healthy eating has been shown to be associated with greater diet quality. Internet-based methodologies allow contact with large populations. Our present study aims to design and evaluate a short nutritional perception questionnaire, to be used as a screening ...[more]

PMID: 29228998

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Project description:BackgroundThe effect of personalised nutrition advice on discretionary foods intake is unknown. To date, two national classifications for discretionary foods have been derived. This study examined changes in intake of discretionary foods and beverages following a personalised nutrition intervention using these two classifications.MethodsParticipants were recruited into a 6-month RCT across seven European countries (Food4Me) and were randomised to receive generalised dietary advice (control) or one of three levels of personalised nutrition advice (based on diet [L1], phenotype [L2] and genotype [L3]). Dietary intake was derived from an FFQ. An analysis of covariance was used to determine intervention effects at month 6 between personalised nutrition (overall and by levels) and control on i) percentage energy from discretionary items and ii) percentage contribution of total fat, SFA, total sugars and salt to discretionary intake, defined by Food Standards Scotland (FSS) and Australian Dietary Guidelines (ADG) classifications.ResultsOf the 1607 adults at baseline, n = 1270 (57% female) completed the intervention. Percentage sugars from FSS discretionary items was lower in personalised nutrition vs control (19.0 ± 0.37 vs 21.1 ± 0.65; P = 0.005). Percentage energy (31.2 ± 0.59 vs 32.7 ± 0.59; P = 0.031), percentage total fat (31.5 ± 0.37 vs 33.3 ± 0.65; P = 0.021), SFA (36.0 ± 0.43 vs 37.8 ± 0.75; P = 0.034) and sugars (31.7 ± 0.44 vs 34.7 ± 0.78; P < 0.001) from ADG discretionary items were lower in personalised nutrition vs control. There were greater reductions in ADG percentage energy and percentage total fat, SFA and salt for those randomised to L3 vs L2.ConclusionsCompared with generalised dietary advice, personalised nutrition advice achieved greater reductions in discretionary foods intake when the classification included all foods high in fat, added sugars and salt. Future personalised nutrition approaches may be used to target intake of discretionary foods.Trial registrationClinicaltrials.gov NCT01530139 . Registered 9 February 2012.

Project description:BackgroundPicky eating is relatively common among infants and children, often causing anxiety for parents and caregivers. The purpose of this study was to determine the key aspects of picky eating and feeding difficulties among children aged 1 to 10?years in Singapore and the impact on their parents or caregivers.MethodsIn this survey, 407 parents or grandparents who are the primary caregivers of children aged 1 to 10?years in Singapore were interviewed via telephone using a structured questionnaire of 36 questions. Respondents were randomly selected from the Singapore Residential Telephone Directory to meet a pre-set interlocked quota of race, sex, and age to represent the population. Quantitative data collected included demographics, body weight and height, respondents' perceptions of the duration of picky eating, the child's eating habits and perceived health status, respondents' attitudes towards picky eating, coping strategies and the impact on family relationships. Bonferroni z-test and t-test were used to indicate significance across groups or demographics, while Pearson correlation coefficient was used to measure the strength of association between variables.ResultsOne-half of the respondents reported that the child was 'all the time' (25.1%) or sometimes (24.1%) a picky eater. When aided with a list of typical behaviours, the respondent-reported prevalence of picky eating or feeding difficulties occurring 'all the time' increased to 49.6%. The highest number of respondents first noticed the child's picky eating behaviours or feeding difficulties as early as 1?year (20.0%). Children 3 to 10?years [p?=?0.022], children of professional respondents (p?=?0.019), and children with a family history of picky eating (p?=?0.03) were significantly more likely to be picky eaters. Overall, all 'picky eating' and all 'feeding difficulty' behaviours occurring 'all the time' were significantly associated with caregiver stress when feeding (p?=?0.000026 and p?=?0.000055, respectively) and with a negative impact on family relationships (p?=?0.011 and p?=?0.00000012, respectively).ConclusionsThe perceived prevalence and duration of picky eating behaviours and feeding difficulties are high. The impact on the respondent and family relationships appears to be significant in Singapore. Parental concerns about picky eating should be adequately assessed and managed in routine clinic consultations.

Project description:BackgroundEnteral nutrition (EN) therapy is widely used in clinical practice to provide artificial nutrition to patients, while the incidence of adverse events are relatively highly. In the clinical setting, the occurrence of adverse events is associated with the nurse's risk perception. Thus, using tool to evaluate nurse's risk perception of enteral nutrition is necessary.MethodsThe draft questionnaire with 37-items was formed by comprehensive literature reviews and semi-structured in-depth interviews with 11 nurses. Two iterations of expert consultations were used to evaluate the content validity, and 4 items were deleted in this phrase. A 33-items questionnaire was used to survey 352 nurses from five tertiary hospitals in China from May to July 2019 with convenience sampling. Content validity, construct validity and known-groups validity were evaluated by content validity index (CVI), exploratory factor analysis, and the comparisons of the different EN risk perception levels of nurses at different working departments and different educational backgrounds, respectively. Reliability was tested by internal consistency, test-retest reliability, and split-half reliability.ResultsAfter the exploratory factor analysis, four items were excluded. Finally, the newly developed questionnaire included 29 items explaining 71.356% of the total variance. It consisted of three factors: Risks of operation (15 items); Risks of EN-related adverse events (11 items), and Risks of EN solution selection (3 items). The CVI of the questionnaire was 0.95 and the CVI of items ranged from 0.875-1.0. The results of known-groups validity showed that the nurses with different educational backgrounds had a statistically significant difference of EN risk perception (z?=?-?3.024, p?=?0.002), whereas there was not significantly different between EN risk perception of nurses working in different departments (z?=?-?1.644, p?=?0.100). The Cronbach's ?, test-retest reliability, and split-half reliability of the questionnaire were 0.967, 0.818, and 0.815, respectively.ConclusionsThe newly developed questionnaire for assessing nurse's EN risk perception showed good reliability and validity. It can be used as a tool for nursing managers to assess Chinese nurses' EN risk perception ability, so as to help to reduce the occurrence of adverse events during EN implementation.

Project description:BackgroundAccurate dietary assessment is key to understanding nutrition-related outcomes and is essential for estimating dietary change in nutrition-based interventions.ObjectiveThe objective of this study was to assess the pan-European reproducibility of the Food4Me food-frequency questionnaire (FFQ) in assessing the habitual diet of adults.MethodsParticipants from the Food4Me study, a 6-mo, Internet-based, randomized controlled trial of personalized nutrition conducted in the United Kingdom, Ireland, Spain, Netherlands, Germany, Greece, and Poland, were included. Screening and baseline data (both collected before commencement of the intervention) were used in the present analyses, and participants were included only if they completed FFQs at screening and at baseline within a 1-mo timeframe before the commencement of the intervention. Sociodemographic (e.g., sex and country) and lifestyle [e.g., body mass index (BMI, in kg/m(2)) and physical activity] characteristics were collected. Linear regression, correlation coefficients, concordance (percentage) in quartile classification, and Bland-Altman plots for daily intakes were used to assess reproducibility.ResultsIn total, 567 participants (59% female), with a mean ± SD age of 38.7 ± 13.4 y and BMI of 25.4 ± 4.8, completed both FFQs within 1 mo (mean ± SD: 19.2 ± 6.2 d). Exact plus adjacent classification of total energy intake in participants was highest in Ireland (94%) and lowest in Poland (81%). Spearman correlation coefficients (ρ) in total energy intake between FFQs ranged from 0.50 for obese participants to 0.68 and 0.60 in normal-weight and overweight participants, respectively. Bland-Altman plots showed a mean difference between FFQs of 210 kcal/d, with the agreement deteriorating as energy intakes increased. There was little variation in reproducibility of total energy intakes between sex and age groups.ConclusionsThe online Food4Me FFQ was shown to be reproducible across 7 European countries when administered within a 1-mo period to a large number of participants. The results support the utility of the online Food4Me FFQ as a reproducible tool across multiple European populations. This trial was registered at clinicaltrials.gov as NCT01530139.

Project description:Eating disorders (EDs) are a complex group of psychiatric conditions that involve dysfunctional eating patterns, nutritional alterations, and other comorbid psychopathologies. Some women with EDs may develop problematic internet use while they attempt to get information on dieting/weight control or get online support from people with similar problems. They may also drift toward tobacco smoking as a method to regulate their weight or to cope with their weight-related dysphoria. The occurrence of these conditions in EDs may prolong disease course and impede recovery. This study used structural equation modeling to investigate nutritional status (noted by body mass index, BMI), depression psychopathology, internet addiction (depicted by the Internet Addiction Test), Facebook addiction (depicted by the Bergen Facebook Addiction Scale), and smoking among 123 Spanish women diagnosed with EDs (mean age = 27.3 ± 10.6 years). History of hospitalization, marital status, age, and the level of education predicted BMI in certain ED groups. BMI did not predict depression, but it predicted internet addiction, Facebook addiction, and smoking in certain ED groups. Depression did not predict BMI, internet/Facebook addition, or smoking in any ED group. Some sociodemographic and clinical variables had indirect effects on depression, internet addiction, and Facebook addiction while age was the only variable expressing a direct effect on all outcome measures. Age, education, and history of prolonged treatment predicted smoking in certain ED patients. The findings signify that a considerable target for interventional strategies addressing nutritional and addictive problems in EDs would be women with high BMI, history of hospitalization, history of prolonged treatment, who are particularly young, single, and less educated. Replication studies in larger samples, which comprise various subtypes of EDs from both genders, are warranted to define the exact interaction among the addressed variables.

Project description:There is evidence that physical activity (PA) can attenuate the influence of the fat mass- and obesity-associated (FTO) genotype on the risk to develop obesity. However, whether providing personalized information on FTO genotype leads to changes in PA is unknown.The purpose of this study was to determine if disclosing FTO risk had an impact on change in PA following a 6-month intervention.The single nucleotide polymorphism (SNP) rs9939609 in the FTO gene was genotyped in 1279 participants of the Food4Me study, a four-arm, Web-based randomized controlled trial (RCT) in 7 European countries on the effects of personalized advice on nutrition and PA. PA was measured objectively using a TracmorD accelerometer and was self-reported using the Baecke questionnaire at baseline and 6 months. Differences in baseline PA variables between risk (AA and AT genotypes) and nonrisk (TT genotype) carriers were tested using multiple linear regression. Impact of FTO risk disclosure on PA change at 6 months was assessed among participants with inadequate PA, by including an interaction term in the model: disclosure (yes/no) × FTO risk (yes/no).At baseline, data on PA were available for 874 and 405 participants with the risk and nonrisk FTO genotypes, respectively. There were no significant differences in objectively measured or self-reported baseline PA between risk and nonrisk carriers. A total of 807 (72.05%) of the participants out of 1120 in the personalized groups were encouraged to increase PA at baseline. Knowledge of FTO risk had no impact on PA in either risk or nonrisk carriers after the 6-month intervention. Attrition was higher in nonrisk participants for whom genotype was disclosed (P=.01) compared with their at-risk counterparts.No association between baseline PA and FTO risk genotype was observed. There was no added benefit of disclosing FTO risk on changes in PA in this personalized intervention. Further RCT studies are warranted to confirm whether disclosure of nonrisk genetic test results has adverse effects on engagement in behavior change.ClinicalTrials.gov NCT01530139; http://clinicaltrials.gov/show/NCT01530139 (Archived by WebCite at: http://www.webcitation.org/6XII1QwHz).

Dataset Information

Capturing health and eating status through a nutritional perception screening questionnaire (NPSQ9) in a randomised internet-based personalised nutrition intervention: the Food4Me study.

Publications

Capturing health and eating status through a nutritional perception screening questionnaire (NPSQ9) in a randomised internet-based personalised nutrition intervention: the Food4Me study.

Similar Datasets

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