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The Context of HIV Risk Among Drug Users and Their Sexual Partners

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locale. More discussion <strong>of</strong> geographic variations in <strong>HIV</strong>/AIDS<br />

epidemiology appears in this chapter under the section on technical<br />

issues. For now, attention is called to such place-related concerns as<br />

availability <strong>of</strong> injection drugs <strong>and</strong> <strong>of</strong> free sterilized needles <strong>and</strong> proximity<br />

to crack houses, ab<strong>and</strong>oned housing, <strong>and</strong> red light districts when<br />

considering the role <strong>of</strong> exosystem variables in <strong>HIV</strong>/AIDS risk-related<br />

behavior.<br />

<strong>The</strong> next level addressed in the ecological model is the microsystem.<br />

This level subsumes the life settings in which the individual interacts with<br />

others. Research on peer networks <strong>and</strong> on sibling sets falls into this<br />

domain (Brunswick et al., forthcoming). <strong>The</strong> difference between<br />

perceived <strong>and</strong> so-called real measures at this level—between what a<br />

respondent reports about network characteristics <strong>and</strong> behavior (perceived)<br />

<strong>and</strong> actual observations or interviews with the network (real)—is a<br />

particularly cogent issue. Both <strong>of</strong> these are measuring real (though<br />

distinct) domains <strong>and</strong> not substitutes for one another. Ideally, both<br />

should be modeled.<br />

<strong>The</strong> fourth level in table 1, that <strong>of</strong> ontogenic factors, requires little<br />

discussion because most <strong>of</strong> the HBM research has been focused on these<br />

factors. Allusion was made earlier to the shortcomings <strong>of</strong> the HBM<br />

because it ignores the social settings <strong>of</strong> the individual’s life <strong>and</strong>, further, it<br />

imbues that life with a regularity <strong>and</strong> coherence that <strong>of</strong>ttimes are not<br />

present. As an example, when the HBM was tested with cross-sectional<br />

data from the Longitudinal Harlem Health Study, those individuals who<br />

reported the most concern about <strong>HIV</strong>/AIDS were the ones who engaged<br />

in riskier behaviors. While seemingly logical, this finding turns the HBM<br />

on its head, since the model suggests that the most concerned individuals<br />

will undertake risk avoidance practices.<br />

Regardless <strong>of</strong> what other particular concerns arise from the ecological<br />

model, one closing note must be sounded <strong>of</strong> a more general nature:<br />

always leave room for serendipity. Though guided by theory, researchers<br />

need to be open to the unexpected correlation-<strong>and</strong> to report it. Too<br />

<strong>of</strong>ten, research is conducted either without any conceptual-theoretical<br />

orientation or with too much <strong>of</strong> it, resulting in the neglect or oversight <strong>of</strong><br />

unexpected patterns that might appear in the data. While research needs<br />

to be focused, it should be done with sufficient latitude for the<br />

unexpected to come into view.<br />

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