Primary Barriers of Adherence to a Structured Nutritional Intervention in Patients with Dyslipidemia

PURPOSE

To describe the primary barriers to adequately adhering to a structured nutritional intervention.

PATIENTS AND METHODS

A total of 106 participants diagnosed with dyslipidemia and without a medical nutrition therapeutic plan were included in this two-year study conducted at the INCMNSZ dyslipidemia clinic in Mexico City. All patients were treated with the same structured strategies, including three face-to-face visits and two telephone follow-up visits. Diet plan adherence was evaluated at each site visit through a 3-day or 24-h food recall.

RESULTS

Barriers to adhere to the nutritional intervention were: lack of time to prepare their meals (23%), eating outside the home (19%), unwillingness to change dietary patterns (14%), and lack of information about a correct diet for dyslipidemias (14%). All barriers decreased significantly at the end of the intervention. Female gender, current smoking, and following a plan of more than 1500 kcal (R² = 0.18 and p-value = 0.004) were associated with good diet adherence. Participants showed good levels of adherence to total caloric intake at visit 2 and 3, reporting 104.7% and 95.4%, respectively. Adherence to macronutrient intake varied from 65.1% to 126%, with difficulties in adhering to recommended carbohydrate and fat consumption being more notable.

CONCLUSION

The study findings confirm that a structured nutritional intervention is effective in reducing barriers and improving dietary adherence and metabolic control in patients with dyslipidemias. Health providers must identify barriers to adherence early on to design interventions that reduce these barriers and improve adherence.

[Dietary trans fatty acids and its metabolic implications]

Fats are important nutrients in our diet, they have wide chemical properties that drive diverse metabolic effects. The trans fatty acids (TFA) are common compounds found in industrialized food, and recent research has shown they should be avoided due to their increased risk of cardiovascular disease (CVD). Some of the mechanisms involved include: reduction of c-HDL concentration, increase of low density lipoprotein, Lp (a), triglycerides; disturbance in prostaglandin balance and they may also promote insulin resistance. Obese subjects are prone to increased CVD risk associated with a state of chronic inflammation that can be worsened by TFA intake. The US population consumes approximately 5.3 g TFA per day (2.6% of their total energy intake and 7.4% of their fat energy). Recently, WHO recommendations suggest the intake of TFA should be lower than 1% of energy per day. Current fast food industry products have to decrease the amount of TFA content, and the experience from different countries shows that the elimination of trans fatty acids is a cost effective and feasible public health intervention.

Influence of skin color on the diagnostic utility of clinical acanthosis nigricans to predict insulin resistance in obese patients

BACKGROUND

Skin color may influence the presence of acanthosis nigricans (AN) as predictor of insulin resistance (IR). The objective of this study was to determine how skin color influences the diagnostic utility of AN as a marker of IR.

METHODS

We designed a cross-sectional study. Subjects were classified according to their skin color (phototypes I-VI of Fitzpatrick), presence, and severity of AN (Burke quantitative scale). Blood samples were taken for measurement of glucose and insulin to calculate the Matsuda insulin sensitivity index (ISI).

RESULTS

Sixty two obese subjects with BMI of 39.6 +/- 8 were included. Males were more prone to AN (9/12, 75% vs. 24/50, 48%, p <0.085) than females. The neck was the most frequent affected body region (53/62, 85.5%), followed by the elbows (15/62, 24.2%), knuckles (6/62, 9.7%), and knees (4/62, 6.5%). No concordance was found among them. AN was more frequent in those with skin phototype IV (18/23, 78.3%, p = 0.001) than those with phototype III (12/23, 52.2%) and phototype II (3/16, 18.8%). The utility of AN on the neck to predict ISI <3.5 (surrogate of insulin resistance) was sensitivity, 66.7 (95% CI 40.9-79.5); specificity, 82.5 (95% CI 56-95); positive predictive value, 91%; negative predictive value, 48% (p <0.001 for all values).

CONCLUSIONS

People with skin phototype IV have a high frequency of AN on the neck, compared with those with phototypes II and III. Those with AN and skin phototype II showed high specificity and positive predictive values for insulin resistance. Thus, AN is a good marker for IR only in lower phototypes.