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To our knowledge, the HaBIDS panel is the first study to investigate attrition in different phases of a panel. The need for sending a reminder was the strongest predictor for discontinuation in the initial as well as in the extended phase. Its effect size was even larger in the extended HR 4. This difference between phases could be caused by changes in general factors like commitment, habits, and panel fatigue described by Lugtig [ 8 ].

Lugtig claims that commitment is especially important in the starting phase of a longitudinal study when some participants are not really convinced of the study. If participation itself, i. Gill et al. Our analyses showed that the need of receiving a reminder for the first questionnaire predicts attrition at later questionnaires Gill et al.

The need of receiving a reminder might be influenced by commitment, but also by time constraints of the participant.

Consent to continue with the online panel in the extended phase was associated with the number of prior questionnaires filled in. This could be a proxy of commitment as well as of habit based on the participants response behaviour, we cannot distinguish these two factors and highlights again the importance of these factors in a longitudinal panel.

Discontinuation in the timely unlimited HaBIDS online panel did not differ by previous mode of participation.

However, the percentage of former paper-and-pencil participants who did not even fill in the first online questionnaire in the online panel was higher than among all-time online participants. Those participants who would generally agree to participate online, but are not used to online data collection or use the Internet very irregularly, probably drop out at the first attempt. Thus, familiarity with the Internet might be a more important factor for participation in an online panel than a true mode preference because unfamiliarity with the Internet likely leads to a choice of paper-and-pencil mode when this is offered.

Participants not using the Internet daily had a higher risk of withdrawal, but not a higher risk of discontinuation.

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One explanation could be that infrequent Internet users are more selective in their online activities and rather prefer to withdraw if they do not like a study. Older participants were more likely to withdraw than younger ones, but less likely to become discontinuous users.

Overall, older participants left the study less often than younger ones. The former might be more conscientious so that they rather withdraw if they have no more time or interest than discontinue without any feedback to the researchers.

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Younger participants might be busier or get more spam emails than older ones, which might result in discontinuation instead of formal withdrawal. This is also reflected by the higher risk of discontinuation among participants with higher stress levels higher PSS scores. Participants at risk of discontinuation could be identified early in the study while participants at risk of withdrawal could not.

We suggest that different measures could be applied to the two groups. For example, an app including questionnaires, push reminders to fill them in, and elements of gamification applying game mechanics to non-game contexts in order to keep participants engaged [ 26 ] might prevent passive discontinuation, but not active withdrawal.

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Too intrusive reminders could even stimulate withdrawal. The same is true for the discontinuers. Knowing in advance that those who need more support in the beginning maintain this attitude creates the opportunity to add incentives.

The grinding formed as in the experimental groups. All procedure was repeated individually for the other rats were assigned randomly to diet salts of iodine, chromium, selenium, copper, groups.

Rats were housed singly in sus zinc, iron, manganese and magnesium until pended stainless steel cages with wire-mesh all of each salt had been ground. Additional flooring. Diets were provided ad libitum in sucrose was ground in the mortar at the end ceramic food bowls equipped with stainless of the preparation to remove residual salt. Rats were weighed Ferric citrate and chromium potassium sul daily and food consumption was measured fate were individually ground in the mortar at weekly intervals.

Distilled deionized and sieved through a no. Mixtures lighting was automatically controlled to were stored at room temperature in tightly provide alternating h periods of light and sealed polyethylene bags until used at 3. After 3 wk, rats were anesthetized of diets.

Values for I, Se, Cr and Cl were not determined. Calculated values are given in table 2. Half of the rats in each group were killed on 14 , the significance of differences among mean values was calculated [Duncan's mul d 20 and half on d Soft tissues liver, kid ney, spleen and duodenum and femurs tiple-range test 20, 21 ] on a within-study were removed; the duodena were flushed basis only.

Portions of all diets and tissues were Composition of diets. Results of analysis weighed and were wet digested in mixtures of of diets for nine elements are shown in nitric-perchloric or nitric-perchloric-sulfuric table 4. The results of the analysis of diets acids and analyzed by inductively coupled AB and AF agreed with those for diets A argon plasma-atomic emission spectrometry and ABF, and these data are not shown.

The methods and procedures have studies for diets A and ABF, except that been described in detail The levels Statistical methods. Means and standard of phosphorus, iron, zinc and copper in diet errors were calculated for levels of nine AIN reflect contributions from casein as elements in rat tissues and diets.

Because well as from the mineral mix.

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Mineral com significant differences in concentrations of position can be precisely controlled to be major and trace elements in liver, kidney, highly reproducible in these purified diets.

Responses to diets. Rats fed diet NIH r grew significantly better than all groups fed purified diets in study 1 fig. Lower weight gains were obtained with the O LU younger animals used in study 2. Differences in food consumption were consistent with 2 observed differences in growth rates. Downloaded from jn. Femur percent ash was also significantly higher in this group.

Tissue minerals. Concentrations of major and trace elements in tissues of Long-Evans Fig. Rats rats for studies 1 and 2 are shown in tables were 26 d old on d 0 and were fed the diets for 3 wk. Concentrations of potassium, phos phorus and magnesium in liver tissue were similar for the basal groups in both studies.

Rats fed diet NIH had appears that rats fed the purified diets significantly higher levels of iron and lower would not have reached the same maximum levels of manganese in liver, kidneys, duode size attainable by rats fed diet NIH Sig num and femur than did rats fed the other nificant differences in tissue mineral levels diets in study 1 table 9. When rats were were observed among groups in study 1.

Differences in sodium were ob and the other purified diets. For example, served in liver, spleen and femur; differences rats fed diet NIH had higher levels of iron in potassium were observed in spleen and and lower levels of manganese in four of the femur.

Levels of sodium were significantly five tissues examined. In the tion for the rat, and this may have contrib femur, decreases in potassium vs. In addition, competi diet ABF table Fewer of these changes tive interactions in intestinal transport of between diets A and ABF occurred in study manganese, calcium, phosphorus and zinc 1 tables 7 and 9. Levels of major and trace 26, 27 , as well as iron, have been de minerals in kidney and duodena were not scribed.

Factors associated with attrition in a longitudinal online study: results from the HaBIDS panel

In duodenal tissue, the major sig significantly affected by the variations in nificant effects were higher iron and lower diet composition used in study 2 tables 8 manganese in rats fed diet NIH compared and Rats fed the non- tissue manganese levels. This was especially port and excretion can be expected to be true in tissues of rats fed diet NIH When highly sensitive to diet composition.

Fibrous components may lulose also have been involved. Such factors as Development of a nutritionally adequate competition between elements for binding purified diet for weanling rats. AIN rodent diet, but lacks cellulose and and biotin are added, however, growth is biotin. Although there appears to be no ab equivalent to that supported by diet AIN Similarly, biotin is thought diets. Although growth is significantly im not to be required by rats under standard proved, efficiency of food utilization is not laboratory conditions due to its synthesis by affected by this level of cellulose.

Effects of the intestinal flora The induction of a fiber on the intestine are complex and vary biotin deficiency generally requires the with the physical and chemical properties feeding of diets containing raw egg white.

When both cellulose flora of rats. Weights of tissues are given in table 6. Utilization of volatile fatty acids Synthesis of biotin by the intestinal flora is produced by fermentation of cellulose may thought to be adequate to provide for the contribute small but significant net energy needs of young rats. However, Bitsch et al. Other mech those fed egg white-containing diets or anisms by which cellulose might improve biotin-free diets, reported that enterai micro- growth include alterations in synthesis or bial synthesis is not adequate to cover the release of trophic hormones and effects on biotin requirement of rats.

In our studies, morphology of the intestinal mucosa that addition of biotin improved growth of wean may alter intrinsic absorptive activities. Weights of tissues are given in table 7. Evelyn Bonnin in these studies. Rader, J. L, Gaston, C. O'Dell, B. NY Acad. Fox, M. Health Perspect. Long-Evans rats.Clinicians at a regional hospital in Queensland, Australia in collaboration with staff from a local RACF identified that both RACF residents and frail older adults living in the community were experiencing high rates of ED presentation and having worse outcomes than other cohorts.

Overall, we included patients median age [IQR], 59 years old 44—75 years ; Previous analysis have simply categorised time and used logistic regression, for example discharge within 24 h. Additionally, cause-specific Cox models were used to investigate the predictors of two events. Ignoring these competing events can easily lead to heavily biased risk estimates [ 15 ] and wrong conclusions about the impact of risk factors [ 16 ].

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