The Effect of Consumption of Kiwifruit on Constipation in Adults

Worldwide general population prevalence of constipation ranges from 0.7% to 79% (median 16%). Some factors associated with constipation are sex, with higher prevalence in females (especially during pregnancy, and age; in general it becomes gradually more prevalent after the 70 years of age, in women the increase is considerable from a young age (18-23 years old) to middle age (45-50 years old).

Constipation is characterized by difficult or infrequent deposition, often accompanied by excessive straining during bowel movement or sensation of incomplete evacuation. In most cases, there is no underlying organic cause, and constipation is labelled as chronic idiopathic constipation and as a functional digestive disorder. The Rome III criteria is a useful tool for the diagnosis of constipation that highlights the chronic nature of the disorder and the importance of symptoms beyond the infrequency of bowel movements.

Understanding its causes, prevention, and treatment will help most people find constipation relief. An individual's medical history is very important in determining a constipation diagnosis. Primary healthcare professionals should enquire about dietary habits and lifestyle, pharmacological and toxic habits, complementary and alternative medicine, physiological bowel habits, use of laxatives and past disease history

Aims:

To test the effect of kiwifruit consumption on functional constipation in a Spanish adult population

Methods:

Design :Open non-controlled and non-randomized longitudinal study, of the effect of kiwifruit consumption in adult patients with diagnosed constipation

Setting: The study was conducted in five primary healthcare centres in Barcelona, Catalonia, Spain.

Period Study: Between April and August 2013

Population: Fifteen participating Primary Care Professionals selected patients from the electronic medical records (e-HCAP) following inclusion and exclusion criteria. Each professional could include a maximum of 4 patients. Forty-six subjects were selected for the study

Sample size: It was calculated to detect a change in the proportion of individuals with 3 or more defecations per week from 56% to 86% (evolution from an average of 3.2 to 4.4 -stable Standard Deviation (SD) of 1.3- in a normal distribution). Assuming a bilateral contrast for paired data, with a significance level of 0.05 and power of 0.8, a sample of 44 individuals was required (covering a 10% of dropout rate).

Intervention: The duration of the study was five weeks. During the first two weeks no kiwifruit patients were asked to follow their normal diet. The next three weeks they were asked to consume three Zespri green kiwifruits (Actinidia deliciosa var Hayward) per day, one at each main meal (breakfast, lunch and dinner). Throughout the five-week study period the patient had to continue their normal eating habits and exercise regime.

Tools and instructions: Primary Care Professionals asked patients to participate in the study and explained it to them. Patients who voluntarily agreed to participate signed the informed consent, accepting all study procedures. Each participant in the study attended three consultations: the first one before starting the study, the second one after two weeks and the third one after five weeks.

To collect the information patients used a questionnaire designed for this purpose. His/her Primary Care Professional provided instructions on the recording of faecal characteristics. The French original version of the diary was translated into Spanish and Catalan. Patients chose their own language to respond. Professionals collected data from diaries in a Google Docs form.

Patients were supplied kiwifruits in a heterogeneous manner. Some patients in the study bought the prescribed product. In other cases it was the professional who provided the kiwifruits. In one of the Primary Care Centres, the neighbourhood shopkeeper was the responsible for delivering the kiwifruits to the patients. Patients who bought their own Zespri kiwifruit were refunded.

Statistical analysis: Demographics for patients were summarized calculating medians [InterQuartile Range (IQR)] for continuous variables and proportions for categorical variables. Categorical variables were compared from baseline (second week) to last week using the Bhapkar test. For some analyses, Facility and Volume categorical variables were treated as continuous in order to provide results easy to interpret and taking into account individuals' correlations; in these cases, one unit of gain should be interpreted as an improvement in one response category. Functional data methodology was used for some graphical representations. Stacked barplots over time will be presented for categorical variables. To analyse week changes in daily variables Generalized Estimating Equation (GEE) models were adjusted (treating variables as continuous).